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Editorial
Older Americans comprise approximately half the patients on inpatient medical wards. There are too few geriatricians to care for these patients, and few geriatricians practice hospital medicine. Hospitalists often provide the majority of inpatient geriatric care, and at teaching hospitals, hospitalists also play a pivotal role in educating residents and students to provide high‐quality care for hospitalized geriatric patients. Thus, hospitalists will be the primary clinicians educating many trainees to care for older patients, and the hospitalists must be skilled in addressing the clinical syndromes that are common in these patients, including delirium, dementia, falls, and infection.1 Generalists and geriatricians have anticipated a shortfall in clinicians prepared to educate trainees about geriatrics and called for faculty development for generalists in geriatrics.2, 3
In this issue of the Journal of Hospital Medicine, Podrazik and colleagues present initial results from a major initiative to enhance the quality and quantity of geriatric inpatient education for residents and students.4 The Curriculum for the Hospitalized Aging Medical Patient (CHAMP) at the University of Chicago represents a multifaceted faculty development effort funded in part by the Donald W. Reynolds and John A. Hartford Foundations. In 12 half‐day sessions offered weekly, hospitalist and general internist faculty members learned about four thematic areasthe frail older person, hazards of hospitalization, end‐of‐life issues, and transitions of carewhile also receiving training in engaging and effective teaching strategies. At each session, participants drew on their own experiences attending on the wards to generate clinical examples and test new teaching strategies. CHAMP incorporates the attributes of best practices for integrating geriatrics education into internal medicine residency training: it promotes model care for older hospital patients, uses a train‐the‐trainer model, addresses care transitions, and promotes interdisciplinary teamwork.5
CHAMP achieved its initial goals. Faculty participants were satisfied and CHAMP substantially increased participants' confidence in practicing and teaching geriatric care. Faculty participants also gained confidence in their teaching abilities and presumably learned teaching strategies that could be applied to other topics in inpatient medicine. Faculty participants demonstrated modest improvements in their knowledge of geriatric issues and more positive attitudes about geriatrics at the end of the course than at the beginning. It is worth noting that the hospitalist and general internist ward attending physicians who participated in CHAMP were volunteers and may have started the process with greater interest in learning geriatric care than other attendings. Thus, it is unknown whether CHAMP might have greater or lesser effect on other faculty.
The CHAMP train‐the‐trainer model offers the potential to impact future practitioners. Findings of the CHAMP investigators are consistent with the literature on faculty development programs for educators, which shows that faculty development on teaching yields high participant satisfaction, knowledge gains, and improved self‐assessment of the ability to implement changes in teaching practice.6 The use in CHAMP of a diverse menu of teaching strategies and active learning techniques such as case‐based discussions and the Objective Structured Teaching Exercise in a small group of colleagues should promote learning and retention.
Is the CHAMP curriculum worth the cost? The program requires resources to pay for 48 hours for each faculty participant and for instructors with expertise in geriatrics and teaching skills. We estimate that the cost for 12 faculty participants would be roughly $72,000. We believe this investment will likely pay off in terms of enhancing faculty skills, improving faculty job satisfaction, promoting faculty retention in academic or other teaching positions, and improving care provided by trainees. For example, if CHAMP were to lead to the retention and promotion of even 2 faculty for just 1 year, it would save recruitment costs that would exceed the direct program costs, and other benefits of CHAMP would only further add value. However, analysis of the benefits of CHAMP will require more in‐depth evaluation data of its impact. The program leaders currently contact former participants around the time of ward attending to reinforce teaching concepts and encourage implementation of CHAMP materials, through a Commitment to Change contract. The ultimate downstream educational goal would be that these faculty learners retain and apply this newly acquired knowledge and skills in their clinical practice and teaching activities. Ideally, evidence would confirm that these benefits improve patient care. The long‐term evaluation plan for CHAMP incorporates important additional outcome measures including resident and student geriatric knowledge as well as patient satisfaction and clinical outcomes. We commend the authors for aiming to expand their evaluation plan over time and aspiring for sustained changes in teaching practice. The literature on the impact of hospitalists has similarly evolved from early descriptions of hospitalists and the logistics of developing a hospitalist program to sophisticated analyses of the impact of hospitalists on clinical outcomes such as length of stay and mortality.7, 8
The feasibility of disseminating CHAMP is an open question. The University of Chicago model employs a time‐intensive curriculum that engages participants in part by releasing them from clinical duties for a half day per week. Release time was funded through combined support from external funding sources and the Department of Medicine. This model addresses the major barrier to faculty development in geriatrics for general internists: lack of time.2, 9 The investment in intensive, longitudinal faculty development may generate higher returns than periodic short faculty workshop sessions that do not build in the time for role‐playing, practice, and reinforcement of key concepts. This type of intervention may also be more feasible when done in conjunction with one of the approximately 50 Health Resources and Services Administration (HRSA)supported Geriatrics Education Centers, which can fund teachers and infrastructure for faculty development.
How is this article useful for hospitalist educators? Many hospitalists at academic centers serve important teaching functions, and some will aspire to advance their educational efforts through more scholarly activities such as curriculum design. The CHAMP curriculum represents a successful model for hospitalists aiming to follow a rigorous approach to curriculum design relevant to inpatient medicine, and the extensive CHAMP materials are available online.10 It serves as a practical model that could be applied to other clinical topics related to hospital medicine. Hospitalists are effective and respected teachers for residents and students, and they develop unique expertise in the content and process of inpatient medicine.11 The authors followed the 6 steps of effective curriculum design: problem identification, targeted needs assessment, goals and objectives, education methods, implementation, and evaluation.12
The CHAMP curriculum typifies a set of materials that aligns well with the Society of Hospital Medicine (SHM) Core Competencies.13 As part of their needs assessment, the authors also surveyed hospitalists at a regional SHM meeting to determine the geriatrics topics for which they perceived greatest educational need. The Core Competencies chapters on the care of the elderly patient, delirium and dementia, hospital‐acquired infections, and palliative care highlight the common learning goals shared by hospital medicine and geriatrics. Both disciplines also emphasize the team‐based, multidisciplinary approach to care, particularly during care transitions, that is highlighted in the CHAMP curriculum.
More generally, the CHAMP curriculum can be used to teach and assess the Accreditation Council for Graduate Medical Education (ACGME) competencies, which must be assessed in all ACGME‐accredited residency programs.14 In an initial session on Teaching on Today's Wards, CHAMP participants brainstorm about how to incorporate both geriatrics content and the ACGME competencies into their post‐call rounds. The emphasis in CHAMP on the health care system and interdisciplinary care is evident in topics such as end‐of‐life care and transitions in care, and provides opportunity for assessment of residents' performance in the ACGME competency of systems‐based practice. The organization of the curriculum by ACGME competency makes it more applicable today than some prior geriatric curricula that emphasized similar themes but without the emphasis on demonstrating competency as an outcome.15
Hospitalists partnering with the Donald W. Reynolds and John A. Hartford Foundations and other external organizations may find funding opportunities for educational projects. For example, the Hartford Foundation has partnered with SHM since 2002 to support hospitalists' efforts to improve care for older adults. Products of this collaboration include a Geriatric Toolbox that contains assessment tools designed for use with geriatric patients.16 The tools assess a range of parameters including nutritional, functional, and mental status, and the website supplies guidelines on the advantages and disadvantages and appropriate use of each assessment tool. With support from the Hartford Foundation, hospitalists have also conducted several workshops at SHM meetings on improving assessment and care of geriatric patients and developed a discharge‐planning checklist for older adults.
As hospitalist programs gain traction in academic centers, hospitalists will increasingly serve as key geriatric content educators for trainees. The CHAMP curriculum offers a model of intensive faculty development for hospitalists and general internists that clinician educators find engaging and empowering. The partnerships of geriatricians and hospitalists, and of the SHM with national geriatrics organizations, have the potential for widespread benefits for both learners and elderly patients.
Older Americans comprise approximately half the patients on inpatient medical wards. There are too few geriatricians to care for these patients, and few geriatricians practice hospital medicine. Hospitalists often provide the majority of inpatient geriatric care, and at teaching hospitals, hospitalists also play a pivotal role in educating residents and students to provide high‐quality care for hospitalized geriatric patients. Thus, hospitalists will be the primary clinicians educating many trainees to care for older patients, and the hospitalists must be skilled in addressing the clinical syndromes that are common in these patients, including delirium, dementia, falls, and infection.1 Generalists and geriatricians have anticipated a shortfall in clinicians prepared to educate trainees about geriatrics and called for faculty development for generalists in geriatrics.2, 3
In this issue of the Journal of Hospital Medicine, Podrazik and colleagues present initial results from a major initiative to enhance the quality and quantity of geriatric inpatient education for residents and students.4 The Curriculum for the Hospitalized Aging Medical Patient (CHAMP) at the University of Chicago represents a multifaceted faculty development effort funded in part by the Donald W. Reynolds and John A. Hartford Foundations. In 12 half‐day sessions offered weekly, hospitalist and general internist faculty members learned about four thematic areasthe frail older person, hazards of hospitalization, end‐of‐life issues, and transitions of carewhile also receiving training in engaging and effective teaching strategies. At each session, participants drew on their own experiences attending on the wards to generate clinical examples and test new teaching strategies. CHAMP incorporates the attributes of best practices for integrating geriatrics education into internal medicine residency training: it promotes model care for older hospital patients, uses a train‐the‐trainer model, addresses care transitions, and promotes interdisciplinary teamwork.5
CHAMP achieved its initial goals. Faculty participants were satisfied and CHAMP substantially increased participants' confidence in practicing and teaching geriatric care. Faculty participants also gained confidence in their teaching abilities and presumably learned teaching strategies that could be applied to other topics in inpatient medicine. Faculty participants demonstrated modest improvements in their knowledge of geriatric issues and more positive attitudes about geriatrics at the end of the course than at the beginning. It is worth noting that the hospitalist and general internist ward attending physicians who participated in CHAMP were volunteers and may have started the process with greater interest in learning geriatric care than other attendings. Thus, it is unknown whether CHAMP might have greater or lesser effect on other faculty.
The CHAMP train‐the‐trainer model offers the potential to impact future practitioners. Findings of the CHAMP investigators are consistent with the literature on faculty development programs for educators, which shows that faculty development on teaching yields high participant satisfaction, knowledge gains, and improved self‐assessment of the ability to implement changes in teaching practice.6 The use in CHAMP of a diverse menu of teaching strategies and active learning techniques such as case‐based discussions and the Objective Structured Teaching Exercise in a small group of colleagues should promote learning and retention.
Is the CHAMP curriculum worth the cost? The program requires resources to pay for 48 hours for each faculty participant and for instructors with expertise in geriatrics and teaching skills. We estimate that the cost for 12 faculty participants would be roughly $72,000. We believe this investment will likely pay off in terms of enhancing faculty skills, improving faculty job satisfaction, promoting faculty retention in academic or other teaching positions, and improving care provided by trainees. For example, if CHAMP were to lead to the retention and promotion of even 2 faculty for just 1 year, it would save recruitment costs that would exceed the direct program costs, and other benefits of CHAMP would only further add value. However, analysis of the benefits of CHAMP will require more in‐depth evaluation data of its impact. The program leaders currently contact former participants around the time of ward attending to reinforce teaching concepts and encourage implementation of CHAMP materials, through a Commitment to Change contract. The ultimate downstream educational goal would be that these faculty learners retain and apply this newly acquired knowledge and skills in their clinical practice and teaching activities. Ideally, evidence would confirm that these benefits improve patient care. The long‐term evaluation plan for CHAMP incorporates important additional outcome measures including resident and student geriatric knowledge as well as patient satisfaction and clinical outcomes. We commend the authors for aiming to expand their evaluation plan over time and aspiring for sustained changes in teaching practice. The literature on the impact of hospitalists has similarly evolved from early descriptions of hospitalists and the logistics of developing a hospitalist program to sophisticated analyses of the impact of hospitalists on clinical outcomes such as length of stay and mortality.7, 8
The feasibility of disseminating CHAMP is an open question. The University of Chicago model employs a time‐intensive curriculum that engages participants in part by releasing them from clinical duties for a half day per week. Release time was funded through combined support from external funding sources and the Department of Medicine. This model addresses the major barrier to faculty development in geriatrics for general internists: lack of time.2, 9 The investment in intensive, longitudinal faculty development may generate higher returns than periodic short faculty workshop sessions that do not build in the time for role‐playing, practice, and reinforcement of key concepts. This type of intervention may also be more feasible when done in conjunction with one of the approximately 50 Health Resources and Services Administration (HRSA)supported Geriatrics Education Centers, which can fund teachers and infrastructure for faculty development.
How is this article useful for hospitalist educators? Many hospitalists at academic centers serve important teaching functions, and some will aspire to advance their educational efforts through more scholarly activities such as curriculum design. The CHAMP curriculum represents a successful model for hospitalists aiming to follow a rigorous approach to curriculum design relevant to inpatient medicine, and the extensive CHAMP materials are available online.10 It serves as a practical model that could be applied to other clinical topics related to hospital medicine. Hospitalists are effective and respected teachers for residents and students, and they develop unique expertise in the content and process of inpatient medicine.11 The authors followed the 6 steps of effective curriculum design: problem identification, targeted needs assessment, goals and objectives, education methods, implementation, and evaluation.12
The CHAMP curriculum typifies a set of materials that aligns well with the Society of Hospital Medicine (SHM) Core Competencies.13 As part of their needs assessment, the authors also surveyed hospitalists at a regional SHM meeting to determine the geriatrics topics for which they perceived greatest educational need. The Core Competencies chapters on the care of the elderly patient, delirium and dementia, hospital‐acquired infections, and palliative care highlight the common learning goals shared by hospital medicine and geriatrics. Both disciplines also emphasize the team‐based, multidisciplinary approach to care, particularly during care transitions, that is highlighted in the CHAMP curriculum.
More generally, the CHAMP curriculum can be used to teach and assess the Accreditation Council for Graduate Medical Education (ACGME) competencies, which must be assessed in all ACGME‐accredited residency programs.14 In an initial session on Teaching on Today's Wards, CHAMP participants brainstorm about how to incorporate both geriatrics content and the ACGME competencies into their post‐call rounds. The emphasis in CHAMP on the health care system and interdisciplinary care is evident in topics such as end‐of‐life care and transitions in care, and provides opportunity for assessment of residents' performance in the ACGME competency of systems‐based practice. The organization of the curriculum by ACGME competency makes it more applicable today than some prior geriatric curricula that emphasized similar themes but without the emphasis on demonstrating competency as an outcome.15
Hospitalists partnering with the Donald W. Reynolds and John A. Hartford Foundations and other external organizations may find funding opportunities for educational projects. For example, the Hartford Foundation has partnered with SHM since 2002 to support hospitalists' efforts to improve care for older adults. Products of this collaboration include a Geriatric Toolbox that contains assessment tools designed for use with geriatric patients.16 The tools assess a range of parameters including nutritional, functional, and mental status, and the website supplies guidelines on the advantages and disadvantages and appropriate use of each assessment tool. With support from the Hartford Foundation, hospitalists have also conducted several workshops at SHM meetings on improving assessment and care of geriatric patients and developed a discharge‐planning checklist for older adults.
As hospitalist programs gain traction in academic centers, hospitalists will increasingly serve as key geriatric content educators for trainees. The CHAMP curriculum offers a model of intensive faculty development for hospitalists and general internists that clinician educators find engaging and empowering. The partnerships of geriatricians and hospitalists, and of the SHM with national geriatrics organizations, have the potential for widespread benefits for both learners and elderly patients.
Older Americans comprise approximately half the patients on inpatient medical wards. There are too few geriatricians to care for these patients, and few geriatricians practice hospital medicine. Hospitalists often provide the majority of inpatient geriatric care, and at teaching hospitals, hospitalists also play a pivotal role in educating residents and students to provide high‐quality care for hospitalized geriatric patients. Thus, hospitalists will be the primary clinicians educating many trainees to care for older patients, and the hospitalists must be skilled in addressing the clinical syndromes that are common in these patients, including delirium, dementia, falls, and infection.1 Generalists and geriatricians have anticipated a shortfall in clinicians prepared to educate trainees about geriatrics and called for faculty development for generalists in geriatrics.2, 3
In this issue of the Journal of Hospital Medicine, Podrazik and colleagues present initial results from a major initiative to enhance the quality and quantity of geriatric inpatient education for residents and students.4 The Curriculum for the Hospitalized Aging Medical Patient (CHAMP) at the University of Chicago represents a multifaceted faculty development effort funded in part by the Donald W. Reynolds and John A. Hartford Foundations. In 12 half‐day sessions offered weekly, hospitalist and general internist faculty members learned about four thematic areasthe frail older person, hazards of hospitalization, end‐of‐life issues, and transitions of carewhile also receiving training in engaging and effective teaching strategies. At each session, participants drew on their own experiences attending on the wards to generate clinical examples and test new teaching strategies. CHAMP incorporates the attributes of best practices for integrating geriatrics education into internal medicine residency training: it promotes model care for older hospital patients, uses a train‐the‐trainer model, addresses care transitions, and promotes interdisciplinary teamwork.5
CHAMP achieved its initial goals. Faculty participants were satisfied and CHAMP substantially increased participants' confidence in practicing and teaching geriatric care. Faculty participants also gained confidence in their teaching abilities and presumably learned teaching strategies that could be applied to other topics in inpatient medicine. Faculty participants demonstrated modest improvements in their knowledge of geriatric issues and more positive attitudes about geriatrics at the end of the course than at the beginning. It is worth noting that the hospitalist and general internist ward attending physicians who participated in CHAMP were volunteers and may have started the process with greater interest in learning geriatric care than other attendings. Thus, it is unknown whether CHAMP might have greater or lesser effect on other faculty.
The CHAMP train‐the‐trainer model offers the potential to impact future practitioners. Findings of the CHAMP investigators are consistent with the literature on faculty development programs for educators, which shows that faculty development on teaching yields high participant satisfaction, knowledge gains, and improved self‐assessment of the ability to implement changes in teaching practice.6 The use in CHAMP of a diverse menu of teaching strategies and active learning techniques such as case‐based discussions and the Objective Structured Teaching Exercise in a small group of colleagues should promote learning and retention.
Is the CHAMP curriculum worth the cost? The program requires resources to pay for 48 hours for each faculty participant and for instructors with expertise in geriatrics and teaching skills. We estimate that the cost for 12 faculty participants would be roughly $72,000. We believe this investment will likely pay off in terms of enhancing faculty skills, improving faculty job satisfaction, promoting faculty retention in academic or other teaching positions, and improving care provided by trainees. For example, if CHAMP were to lead to the retention and promotion of even 2 faculty for just 1 year, it would save recruitment costs that would exceed the direct program costs, and other benefits of CHAMP would only further add value. However, analysis of the benefits of CHAMP will require more in‐depth evaluation data of its impact. The program leaders currently contact former participants around the time of ward attending to reinforce teaching concepts and encourage implementation of CHAMP materials, through a Commitment to Change contract. The ultimate downstream educational goal would be that these faculty learners retain and apply this newly acquired knowledge and skills in their clinical practice and teaching activities. Ideally, evidence would confirm that these benefits improve patient care. The long‐term evaluation plan for CHAMP incorporates important additional outcome measures including resident and student geriatric knowledge as well as patient satisfaction and clinical outcomes. We commend the authors for aiming to expand their evaluation plan over time and aspiring for sustained changes in teaching practice. The literature on the impact of hospitalists has similarly evolved from early descriptions of hospitalists and the logistics of developing a hospitalist program to sophisticated analyses of the impact of hospitalists on clinical outcomes such as length of stay and mortality.7, 8
The feasibility of disseminating CHAMP is an open question. The University of Chicago model employs a time‐intensive curriculum that engages participants in part by releasing them from clinical duties for a half day per week. Release time was funded through combined support from external funding sources and the Department of Medicine. This model addresses the major barrier to faculty development in geriatrics for general internists: lack of time.2, 9 The investment in intensive, longitudinal faculty development may generate higher returns than periodic short faculty workshop sessions that do not build in the time for role‐playing, practice, and reinforcement of key concepts. This type of intervention may also be more feasible when done in conjunction with one of the approximately 50 Health Resources and Services Administration (HRSA)supported Geriatrics Education Centers, which can fund teachers and infrastructure for faculty development.
How is this article useful for hospitalist educators? Many hospitalists at academic centers serve important teaching functions, and some will aspire to advance their educational efforts through more scholarly activities such as curriculum design. The CHAMP curriculum represents a successful model for hospitalists aiming to follow a rigorous approach to curriculum design relevant to inpatient medicine, and the extensive CHAMP materials are available online.10 It serves as a practical model that could be applied to other clinical topics related to hospital medicine. Hospitalists are effective and respected teachers for residents and students, and they develop unique expertise in the content and process of inpatient medicine.11 The authors followed the 6 steps of effective curriculum design: problem identification, targeted needs assessment, goals and objectives, education methods, implementation, and evaluation.12
The CHAMP curriculum typifies a set of materials that aligns well with the Society of Hospital Medicine (SHM) Core Competencies.13 As part of their needs assessment, the authors also surveyed hospitalists at a regional SHM meeting to determine the geriatrics topics for which they perceived greatest educational need. The Core Competencies chapters on the care of the elderly patient, delirium and dementia, hospital‐acquired infections, and palliative care highlight the common learning goals shared by hospital medicine and geriatrics. Both disciplines also emphasize the team‐based, multidisciplinary approach to care, particularly during care transitions, that is highlighted in the CHAMP curriculum.
More generally, the CHAMP curriculum can be used to teach and assess the Accreditation Council for Graduate Medical Education (ACGME) competencies, which must be assessed in all ACGME‐accredited residency programs.14 In an initial session on Teaching on Today's Wards, CHAMP participants brainstorm about how to incorporate both geriatrics content and the ACGME competencies into their post‐call rounds. The emphasis in CHAMP on the health care system and interdisciplinary care is evident in topics such as end‐of‐life care and transitions in care, and provides opportunity for assessment of residents' performance in the ACGME competency of systems‐based practice. The organization of the curriculum by ACGME competency makes it more applicable today than some prior geriatric curricula that emphasized similar themes but without the emphasis on demonstrating competency as an outcome.15
Hospitalists partnering with the Donald W. Reynolds and John A. Hartford Foundations and other external organizations may find funding opportunities for educational projects. For example, the Hartford Foundation has partnered with SHM since 2002 to support hospitalists' efforts to improve care for older adults. Products of this collaboration include a Geriatric Toolbox that contains assessment tools designed for use with geriatric patients.16 The tools assess a range of parameters including nutritional, functional, and mental status, and the website supplies guidelines on the advantages and disadvantages and appropriate use of each assessment tool. With support from the Hartford Foundation, hospitalists have also conducted several workshops at SHM meetings on improving assessment and care of geriatric patients and developed a discharge‐planning checklist for older adults.
As hospitalist programs gain traction in academic centers, hospitalists will increasingly serve as key geriatric content educators for trainees. The CHAMP curriculum offers a model of intensive faculty development for hospitalists and general internists that clinician educators find engaging and empowering. The partnerships of geriatricians and hospitalists, and of the SHM with national geriatrics organizations, have the potential for widespread benefits for both learners and elderly patients.
An Unconventional Living Will
Her name was Mrs. Carberry, but her readers knew her as Mary Margaret. Two months earlier, she suffered a debilitating stroke that took away her vibrant life. Previously a prolific writer of advice columns and opinion pieces, the blockage of blood to her brain dammed the steady flow of wisdom to her innumerable fans. They never again would benefit from the words of this intelligent, feisty, and self‐proclaimed Cranky Catholic. Unfortunately, I would not know Mary Margaret for her words, but only her numbers: her vital signs, her urine output, her tube feed residuals.
Not able to communicate with us, we wondered did Mrs. Carberry want this tracheostomy that was placed? Did she want this peg tube that fed her continuously? And even if she would have initially agreed to them, would she still want them now? Especially given she was not improving and had little hope for a meaningful recovery.
We posed these difficult questions to her two sons. One son believed that his mother would want an end to these aggressive measures. The other son disagreed; he said his mother would want to make every effort to stay alive.
In the end, Mary Margaret's voice found its way to us and provided us with the answer. She did not tell us in the conventional manner via a lawyer or a living will. Her friends did not come forth and let us know about serious conversations during their afternoon lunches. Instead, Mary Margaret penned it to her audience of devoted readers in a newspaper column written 14 years earlier. Mary Margaret's poignant words were revealed to her doctors by her son who understood its undeniable significance.
Mary Margaret was an essayist in Chicago whose pieces filled many major newspapers and magazines. She had strong opinions on matters large and small, writing articles addressing topics ranging from her Catholic beliefs to gender‐based inequities in the workplace. One article in particular addressed sickness and death and provided her sons the answer they sought. Having witnessed illness strike two loved ones, it was only natural for Mary Margaret to write about it. Her very personal essay was entitled Tough Questions on Life, Death and a Dog Named Bamboo. The words, resurfacing years later, and now having direct meaning to her own life and death, may have been some of the most profound and prophetic words of her career:
Tough Questions on Life, Death and a Dog Named Bamboo
I sat with her that evening while she was dyingrubbing her back, smoothing her head, whispering that I loved her, trying to be of some small comfort as she snuggled closer, looking up with her mysteriously accepting, somehow understanding brown eyes.
Adjusting herself once more, she half rose, then toppled sideways and simply stopped breathing. She died as a lady ought to be able to diequietly, as easily as possible, in her own bed. In my bed actually. She was Bamboo, my Shar‐pei, and it is difficult to write this even several months later without tears starting to roll.
It was not just that last day, of course. For a bit more than a week, Bamboo had been giving signs of a serious problema heavy doggie cough indicating severe congestion and a firm, stubborn decision not to eat. The kitchen offered a parade of small bowls of her favorite people foods with which I hoped to restore her appetite when she determinedly ignored her regular dog food. She had her choice of cottage cheese, scrambled eggs, ground sirloin, cheddar chunks, ice cream, buttered rice and morea virtual buffet for ants.
After I set each dish out, she would go over to look and sniff admiringly, even wag her tail, but then rather reluctantly return to her favorite resting place, a small rug at the top of the stairs to the front door.
She would only drink a lot of water, bowl after bowl, in which she did also get her medicine, mashed and melted. Late on that last afternoon, however she stopped the drinking, too. I couldn't get her to sip even when I brought the water dish to her or offered the ice cubes she once loved to lick. In her own way, she was saying No.
Lately I have been reflecting again on the experience as a result of having heard some discussion about the death of a woman with whom I once shared friendly commuter chitchat as we trained together into the Loop.
Following a stroke, she had been unconscious, vegetative, tragically for almost as long as I had enjoyed the eight years of Bamboo's delightful companionship. Her husband, I learned, had ultimately gone to court and had been granted permission to remove the feeding tube and let nature take its course. A counteraction to prevent this was filed by some well‐intentioned people; but what I believe as good human and legal sense prevailed. So without the tube feeding, this nice long‐suffering woman finally slipped away to God.
People who oppose the dying being released this way argue that they are being starved to death without the feeding tubes. But I don't buy that, especially after having watched Bamboo decide by some deep natural instinct that it was time for her, first, to stop eating even the treats she loved and, finally, to stop drinking while she waited patiently for what was to come, what was inevitable.
There used to be an advertising slogan: It's not nice to fool Mother Nature. If you believe in God and the promise of eternity, perhaps it is equally not nice to fool dying human bodies into a semblance of living when nature is poised to move them beyond the rim of this life. Nature or God, I mean, and absolutely never, of course, a manipulative Dr. Death.
I don't think my puppy was starving those last few days so much as simply stopping. Simply letting herself be folded into an immutable process. At least this is something to ponder in terms of the will of God overwhelming the hopes of man. I am awed and rather apprehensive and yet somehow comfortable with this conclusion.
A couple of months tops with the tubes and no other reasonable hope, I think I'll tell my kids.
Mary Margaret's words struck a cord with both her sons. Her wishes, neatly laid out in a dusty newspaper, were respected. Mary Margaret entered hospice and died peacefully 2 weeks later.
(Tough Questions on Life, Death and a Dog Named Bamboo originally appeared in the The Catholic New World on July 16, 1993. The article was reprinted with their permission.)
Postscript: The author of the essay (my mother) passed away after a week in hospice care and 7 weeks in hospitals following a stroke. She was a published writer for more than 60 years. For her 61st birthday, my brother and I decided to buy her a wrinkly little puppy to keep her company and bark at anyone who came to her house. It ended up being a terrific watchdog as well as my mom's best friend. The last days with her puppy were translated into the essay, which also helped guide me during my mother's final days. My hope is that she and Bamboo are enjoying the promise of eternity in each other's company.
Patrick Carberry
Her name was Mrs. Carberry, but her readers knew her as Mary Margaret. Two months earlier, she suffered a debilitating stroke that took away her vibrant life. Previously a prolific writer of advice columns and opinion pieces, the blockage of blood to her brain dammed the steady flow of wisdom to her innumerable fans. They never again would benefit from the words of this intelligent, feisty, and self‐proclaimed Cranky Catholic. Unfortunately, I would not know Mary Margaret for her words, but only her numbers: her vital signs, her urine output, her tube feed residuals.
Not able to communicate with us, we wondered did Mrs. Carberry want this tracheostomy that was placed? Did she want this peg tube that fed her continuously? And even if she would have initially agreed to them, would she still want them now? Especially given she was not improving and had little hope for a meaningful recovery.
We posed these difficult questions to her two sons. One son believed that his mother would want an end to these aggressive measures. The other son disagreed; he said his mother would want to make every effort to stay alive.
In the end, Mary Margaret's voice found its way to us and provided us with the answer. She did not tell us in the conventional manner via a lawyer or a living will. Her friends did not come forth and let us know about serious conversations during their afternoon lunches. Instead, Mary Margaret penned it to her audience of devoted readers in a newspaper column written 14 years earlier. Mary Margaret's poignant words were revealed to her doctors by her son who understood its undeniable significance.
Mary Margaret was an essayist in Chicago whose pieces filled many major newspapers and magazines. She had strong opinions on matters large and small, writing articles addressing topics ranging from her Catholic beliefs to gender‐based inequities in the workplace. One article in particular addressed sickness and death and provided her sons the answer they sought. Having witnessed illness strike two loved ones, it was only natural for Mary Margaret to write about it. Her very personal essay was entitled Tough Questions on Life, Death and a Dog Named Bamboo. The words, resurfacing years later, and now having direct meaning to her own life and death, may have been some of the most profound and prophetic words of her career:
Tough Questions on Life, Death and a Dog Named Bamboo
I sat with her that evening while she was dyingrubbing her back, smoothing her head, whispering that I loved her, trying to be of some small comfort as she snuggled closer, looking up with her mysteriously accepting, somehow understanding brown eyes.
Adjusting herself once more, she half rose, then toppled sideways and simply stopped breathing. She died as a lady ought to be able to diequietly, as easily as possible, in her own bed. In my bed actually. She was Bamboo, my Shar‐pei, and it is difficult to write this even several months later without tears starting to roll.
It was not just that last day, of course. For a bit more than a week, Bamboo had been giving signs of a serious problema heavy doggie cough indicating severe congestion and a firm, stubborn decision not to eat. The kitchen offered a parade of small bowls of her favorite people foods with which I hoped to restore her appetite when she determinedly ignored her regular dog food. She had her choice of cottage cheese, scrambled eggs, ground sirloin, cheddar chunks, ice cream, buttered rice and morea virtual buffet for ants.
After I set each dish out, she would go over to look and sniff admiringly, even wag her tail, but then rather reluctantly return to her favorite resting place, a small rug at the top of the stairs to the front door.
She would only drink a lot of water, bowl after bowl, in which she did also get her medicine, mashed and melted. Late on that last afternoon, however she stopped the drinking, too. I couldn't get her to sip even when I brought the water dish to her or offered the ice cubes she once loved to lick. In her own way, she was saying No.
Lately I have been reflecting again on the experience as a result of having heard some discussion about the death of a woman with whom I once shared friendly commuter chitchat as we trained together into the Loop.
Following a stroke, she had been unconscious, vegetative, tragically for almost as long as I had enjoyed the eight years of Bamboo's delightful companionship. Her husband, I learned, had ultimately gone to court and had been granted permission to remove the feeding tube and let nature take its course. A counteraction to prevent this was filed by some well‐intentioned people; but what I believe as good human and legal sense prevailed. So without the tube feeding, this nice long‐suffering woman finally slipped away to God.
People who oppose the dying being released this way argue that they are being starved to death without the feeding tubes. But I don't buy that, especially after having watched Bamboo decide by some deep natural instinct that it was time for her, first, to stop eating even the treats she loved and, finally, to stop drinking while she waited patiently for what was to come, what was inevitable.
There used to be an advertising slogan: It's not nice to fool Mother Nature. If you believe in God and the promise of eternity, perhaps it is equally not nice to fool dying human bodies into a semblance of living when nature is poised to move them beyond the rim of this life. Nature or God, I mean, and absolutely never, of course, a manipulative Dr. Death.
I don't think my puppy was starving those last few days so much as simply stopping. Simply letting herself be folded into an immutable process. At least this is something to ponder in terms of the will of God overwhelming the hopes of man. I am awed and rather apprehensive and yet somehow comfortable with this conclusion.
A couple of months tops with the tubes and no other reasonable hope, I think I'll tell my kids.
Mary Margaret's words struck a cord with both her sons. Her wishes, neatly laid out in a dusty newspaper, were respected. Mary Margaret entered hospice and died peacefully 2 weeks later.
(Tough Questions on Life, Death and a Dog Named Bamboo originally appeared in the The Catholic New World on July 16, 1993. The article was reprinted with their permission.)
Postscript: The author of the essay (my mother) passed away after a week in hospice care and 7 weeks in hospitals following a stroke. She was a published writer for more than 60 years. For her 61st birthday, my brother and I decided to buy her a wrinkly little puppy to keep her company and bark at anyone who came to her house. It ended up being a terrific watchdog as well as my mom's best friend. The last days with her puppy were translated into the essay, which also helped guide me during my mother's final days. My hope is that she and Bamboo are enjoying the promise of eternity in each other's company.
Patrick Carberry
Her name was Mrs. Carberry, but her readers knew her as Mary Margaret. Two months earlier, she suffered a debilitating stroke that took away her vibrant life. Previously a prolific writer of advice columns and opinion pieces, the blockage of blood to her brain dammed the steady flow of wisdom to her innumerable fans. They never again would benefit from the words of this intelligent, feisty, and self‐proclaimed Cranky Catholic. Unfortunately, I would not know Mary Margaret for her words, but only her numbers: her vital signs, her urine output, her tube feed residuals.
Not able to communicate with us, we wondered did Mrs. Carberry want this tracheostomy that was placed? Did she want this peg tube that fed her continuously? And even if she would have initially agreed to them, would she still want them now? Especially given she was not improving and had little hope for a meaningful recovery.
We posed these difficult questions to her two sons. One son believed that his mother would want an end to these aggressive measures. The other son disagreed; he said his mother would want to make every effort to stay alive.
In the end, Mary Margaret's voice found its way to us and provided us with the answer. She did not tell us in the conventional manner via a lawyer or a living will. Her friends did not come forth and let us know about serious conversations during their afternoon lunches. Instead, Mary Margaret penned it to her audience of devoted readers in a newspaper column written 14 years earlier. Mary Margaret's poignant words were revealed to her doctors by her son who understood its undeniable significance.
Mary Margaret was an essayist in Chicago whose pieces filled many major newspapers and magazines. She had strong opinions on matters large and small, writing articles addressing topics ranging from her Catholic beliefs to gender‐based inequities in the workplace. One article in particular addressed sickness and death and provided her sons the answer they sought. Having witnessed illness strike two loved ones, it was only natural for Mary Margaret to write about it. Her very personal essay was entitled Tough Questions on Life, Death and a Dog Named Bamboo. The words, resurfacing years later, and now having direct meaning to her own life and death, may have been some of the most profound and prophetic words of her career:
Tough Questions on Life, Death and a Dog Named Bamboo
I sat with her that evening while she was dyingrubbing her back, smoothing her head, whispering that I loved her, trying to be of some small comfort as she snuggled closer, looking up with her mysteriously accepting, somehow understanding brown eyes.
Adjusting herself once more, she half rose, then toppled sideways and simply stopped breathing. She died as a lady ought to be able to diequietly, as easily as possible, in her own bed. In my bed actually. She was Bamboo, my Shar‐pei, and it is difficult to write this even several months later without tears starting to roll.
It was not just that last day, of course. For a bit more than a week, Bamboo had been giving signs of a serious problema heavy doggie cough indicating severe congestion and a firm, stubborn decision not to eat. The kitchen offered a parade of small bowls of her favorite people foods with which I hoped to restore her appetite when she determinedly ignored her regular dog food. She had her choice of cottage cheese, scrambled eggs, ground sirloin, cheddar chunks, ice cream, buttered rice and morea virtual buffet for ants.
After I set each dish out, she would go over to look and sniff admiringly, even wag her tail, but then rather reluctantly return to her favorite resting place, a small rug at the top of the stairs to the front door.
She would only drink a lot of water, bowl after bowl, in which she did also get her medicine, mashed and melted. Late on that last afternoon, however she stopped the drinking, too. I couldn't get her to sip even when I brought the water dish to her or offered the ice cubes she once loved to lick. In her own way, she was saying No.
Lately I have been reflecting again on the experience as a result of having heard some discussion about the death of a woman with whom I once shared friendly commuter chitchat as we trained together into the Loop.
Following a stroke, she had been unconscious, vegetative, tragically for almost as long as I had enjoyed the eight years of Bamboo's delightful companionship. Her husband, I learned, had ultimately gone to court and had been granted permission to remove the feeding tube and let nature take its course. A counteraction to prevent this was filed by some well‐intentioned people; but what I believe as good human and legal sense prevailed. So without the tube feeding, this nice long‐suffering woman finally slipped away to God.
People who oppose the dying being released this way argue that they are being starved to death without the feeding tubes. But I don't buy that, especially after having watched Bamboo decide by some deep natural instinct that it was time for her, first, to stop eating even the treats she loved and, finally, to stop drinking while she waited patiently for what was to come, what was inevitable.
There used to be an advertising slogan: It's not nice to fool Mother Nature. If you believe in God and the promise of eternity, perhaps it is equally not nice to fool dying human bodies into a semblance of living when nature is poised to move them beyond the rim of this life. Nature or God, I mean, and absolutely never, of course, a manipulative Dr. Death.
I don't think my puppy was starving those last few days so much as simply stopping. Simply letting herself be folded into an immutable process. At least this is something to ponder in terms of the will of God overwhelming the hopes of man. I am awed and rather apprehensive and yet somehow comfortable with this conclusion.
A couple of months tops with the tubes and no other reasonable hope, I think I'll tell my kids.
Mary Margaret's words struck a cord with both her sons. Her wishes, neatly laid out in a dusty newspaper, were respected. Mary Margaret entered hospice and died peacefully 2 weeks later.
(Tough Questions on Life, Death and a Dog Named Bamboo originally appeared in the The Catholic New World on July 16, 1993. The article was reprinted with their permission.)
Postscript: The author of the essay (my mother) passed away after a week in hospice care and 7 weeks in hospitals following a stroke. She was a published writer for more than 60 years. For her 61st birthday, my brother and I decided to buy her a wrinkly little puppy to keep her company and bark at anyone who came to her house. It ended up being a terrific watchdog as well as my mom's best friend. The last days with her puppy were translated into the essay, which also helped guide me during my mother's final days. My hope is that she and Bamboo are enjoying the promise of eternity in each other's company.
Patrick Carberry
Differences in End‐of‐Life Hospital Care for Children
More than 53,000 children 19 years of age or younger died in 2004,1 and more than 40% of these children died while hospitalized.25 Recently, pediatric end‐of‐life (EOL) issues have gained clinical and research attention, primarily focused on children with chronic conditions, ethical dilemmas surrounding childhood death and dying, and the need for interdisciplinary palliative care efforts for dying children and their families.2, 3, 69
Much remains unknown about patterns of EOL hospital care at the national level for all children, both with and without complex chronic conditions. Because a large proportion of childhood mortality occurs during hospitalization, the inpatient setting is a crucial arena for patients and families facing EOL issues. However, little is known about how insurance status and interhospital transfer are associated with patterns of hospitalization and mortality for children while hospitalized, or about hospital charges and lengths of stay for children who die as inpatients versus those who survive to discharge. In addition, although spending on EOL health care in the United States has attracted considerable attention in recent years, the published literature focuses almost exclusively on adult populations.1012
Illuminating the patterns of childhood mortality in hospital settings may inform expanding institutional efforts to address death and dying for children and their families. We conducted an analysis of national patterns of hospitalization over a span of a decade (19922002), in order to characterize sociodemographic and health care factors associated with inpatient mortality, and to examine patterns of hospital resource use related to EOL care. We hypothesized that resource use would be higher for children who died versus those who survived, and would be higher for uninsured versus insured children.13 We also hypothesized that children admitted upon transfer from another hospital would have higher risk of mortality.14
METHODS
Our data source was the National Inpatient Sample (NIS), which is a component of the Healthcare Cost and Utilization Project (HCUP) sponsored by the Agency for Healthcare Research and Quality. The HCUP is a set of databases developed through partnership among health care institutions and federal and state governments.15 The NIS is the largest publicly available all‐payer inpatient database in the United States, and contains de‐identified, patient‐level clinical data included in a typical discharge abstract. For each year, these data reflect hospital stays from between 800 and 1000 institutions sampled to approximate a 20% stratified sample of nonfederal community hospitals, including public hospitals, children's hospitals, and academic medical centers but excluding long‐term hospitals, psychiatric hospitals, and chemical dependency treatment facilities.
We chose the NIS for this analysis because we were interested in the most common diagnoses for hospitalized children. An alternative database, such as the KID (Kids Inpatient Database), is optimal for less commonly seen discharge diagnoses and did not permit a full decade of retrospective analysis.
In order to characterize changes in mortality and health resource utilization related to our research questions, we conducted a comparative cross‐sectional analysis of 3 years of the NIS over the years 1992, 1997, and 2002. For each year of NIS data, discharge‐level weights were provided to permit calculation of national estimates of hospitalization rates standardized to the concurrent national population.15 All inpatient hospital stays of children aged 17 years and younger were selected.
Discharge data were analyzed based on age, sex, payer status, and transfer status on admission. Although transfer status is not often considered in studies of mortality, we expected that it would be associated with mortality, as a potential indicator of disease severity.14 We included only interhospital transfers, and excluded patients transferred from other locations such as long‐term care facilities. We categorized discharges into 5 age groups: newborns, whose hospitalization began at birth; infants up to 1 year of age who were not born during hospitalization; 15 years; 610 years; and 1117 years. This stratification allowed us to separate infants who were admitted from home or from another hospital versus those who were born during hospitalization. Payer groups included Medicaid, private insurance, and uninsured. Medicare and other payers were analyzed, but were present in very small numbers and are not reported.
Outcomes included weighted inpatient mortality rate, weighted mean of length of stay (in days), and weighted mean total hospital charges. For nationally weighted data, lengths of stay and hospital charges are typically reported as means because weighted medians cannot be estimated.16 We compared mortality patterns for patients who were transferred between hospitals versus those who were not, using multivariable logistic regression to identify factors associated with in‐hospital mortality. Of note, transfer status was evaluated from the standpoint of the receiving hospital as children who were admitted upon transfer from another hospital. Thus, our estimates likely underestimate the effects attributed to interhospital transfer, because this evaluation is unilateral and does not include the transferring hospital. The 5 most common principal Diagnosis‐Related Groups (DRGs) upon discharge were compiled for each of the study years for both survivors and decedents. In order to interpret the analyses of discharge‐related hospital charges in constant dollars, we standardized all hospital charges to 2002 US dollars using the Consumer Price Index.17
Statistical analyses included bivariate comparisons of sociodemographic characteristics and the study outcomes, for each of the study years. We also conducted multivariable regression analyses of mortality, comparing effects of sociodemographic variables and transfer status. We conducted all analyses using Stata, version 8 (Stata Corp., College Station, TX), with which we incorporated sample weights to account for the complex stratified sampling of hospitals that comprise the NIS, and to generate variance estimates with which we derived 95% confidence intervals (95% CI). NIS samples included weighted data for 6.2 million discharges in 1992, 7.1 million discharges in 1997, and 7.9 million discharges in 2002. All results are presented using weighted values. The study was funded internally and all analyses were conducted by the authors. The authors had no financial interest in the outcome. The study was exempt from human subjects review as an analysis of de‐identified secondary data.
RESULTS
Study Sample
NIS samples represented between 35 million and 37.8 million discharges nationally in each of the study years. Distributions of discharges across age group, gender, and payer group were similar across the study years (Table 1).
Characteristic | 1992 N = 6,722,647 | 1997 N = 6,365,886 | 2002 N = 6,456,077 |
---|---|---|---|
| |||
Age (%) | |||
Newborn | 60.0 | 63.0 | 65.0 |
Admitted as transfer* | 1.3 | 1.1 | 1.2 |
0‐<1 year | 8.7 | 8.0 | 8.6 |
Admitted as transfer* | 7.6 | 7.2 | 8.8 |
1‐5 years | 11.9 | 11.0 | 9.2 |
Admitted as transfer* | 5.1 | 4.5 | 5.6 |
6‐10 years | 5.5 | 5.0 | 5.0 |
Admitted as transfer* | 4.9 | 4.7 | 5.3 |
11‐17 years | 13.9 | 13.0 | 12.2 |
Admitted as transfer* | 3.1 | 4.2 | 4.8 |
Gender (%) | |||
Female | 49.0 | 49.0 | 49.0 |
Payer (%) | |||
Medicaid | 37.0 | 36.0 | 39.0 |
Admitted as transfer* | 3.3 | 3.0 | 3.4 |
Private | 52.0 | 55.0 | 53.0 |
Admitted as transfer* | 2.3 | 2.3 | 2.4 |
Uninsured | 7.0 | 5.0 | 5.0 |
Admitted as transfer* | 2.4 | 2.4 | 2.4 |
The proportions of patients admitted as transfers between hospitals are shown for each age group, as well as by payer. Non‐newborn infants had the highest rate of transfer for each year studied, compared with the other age groups. Across the study years, transfer status was fairly uniform across payers.
Patterns of Inpatient Mortality
During the study period, overall pediatric inpatient mortality decreased from 32,941 children (0.49% of all child discharges) in 1992 to 25,824 children (0.40%) in 2002, although this was not a statistically significant change. The inpatient mortality rate across all years studied was significantly higher for the non‐newborn infants (<1 years) than for all other age groups in all study years (P <.005) (Table 2). The newborn age group had the second highest mortality rate in all years, and the remaining 3 groups had similar mortality rates.
Age Groups* | Annual Inpatient Mortality Rate | ||
---|---|---|---|
1992 N = 6,722,647 | 1997 N = 6,365,886 | 2002 N = 6,456,077 | |
| |||
Overall | 0.49% | 0.41% | 0.40% |
Newborn | 0.50% | 0.41% | 0.40% |
0‐<1 year | 0.77% | 0.64% | 0.52% |
1‐5 years | 0.43% | 0.34% | 0.33% |
6‐10 years | 0.41% | 0.34% | 0.34% |
11‐17 years | 0.35% | 0.34% | 0.36% |
Payer groups | |||
Medicaid | 0.51% | 0.44% | 0.45% |
Private | 0.38% | 0.34% | 0.33% |
Uninsured | 0.69% | 0.69% | 0.58% |
However, because the majority of child hospitalizations are for newborns, the overall burden of mortality was greatest for newborns in all years studied. In 2002, 68.6% of pediatric inpatient deaths were newborns, 8.2% were non‐newborn infants, 7.7% were 15 years old, 4.2% were 610 years old, and 11.3% were 1117 years old. These findings were similarly distributed across age groups in 1992 and 1997 as well (data not shown).
Inpatient mortality rates also differed significantly by payer in all study years (Table 2). In each year, uninsured children had the highest mortality rates followed by children with Medicaid coverage and children with private health plans. Given the proportions of discharges with coverage by Medicaid versus private plans and the differences in mortality rates, the overall burden of mortality was greatest for children with private coverage in 1992 and 1997, and was equivalent to that of Medicaid (11,292 versus 11,330, respectively) in 2002.
Table 3 presents inpatient mortality rate by age and transfer status. Patients who were admitted on transfer from another acute care hospital had a significantly greater mortality rate for all age groups, compared with patients admitted not on transfer, within the same age group. The strong association of mortality with transfer status remained in multivariable regression analyses, adjusted for age and payer status (data not shown).
Mortality Rate (% of Discharges) | |||
---|---|---|---|
Age Group and Transfer Status | 1992 (95% CI) | 1997 (95% CI) | 2002 (95% CI) |
Newborn | |||
Admitted as transfer | 4.57 (3.56, 5.59) | 4.22 (3.44, 5.00) | 4.75 (3.80, 5.93) |
Admitted not on transfer | 0.45 (0.40, 0.51) | 0.37 (0.33, 0.40) | 0.36 (0.32, 0.40) |
0‐<1 year | |||
Admitted as transfer | 5.05 (3.83, 6.28) | 4.38 (3.59, 5.17) | 2.86 (2.32, 3.53) |
Admitted not on transfer | 0.43 (0.34, 0.50) | 0.35 (0.28, 0.43) | 0.30 (0.23, 0.40) |
1‐5 years | |||
Admitted as transfer | 2.26 (1.61, 2.19) | 1.59 (1.20, 1.98) | 1.33 (0.97, 1.83) |
Admitted not on transfer | 0.33 (0.25, 0.40) | 0.27 (0.22, 0.33) | 0.27 (0.22, 0.33) |
6‐10 years | |||
Admitted as transfer | 2.01 (1.23, 2.96) | 1.48 (0.92, 2.03) | 1.11 (0.83, 1.49) |
Admitted not on transfer | 0.32 (0.26, 0.39) | 0.28 (0.22, 0.34) | 0.29 (0.24, 0.36) |
11‐17 years | |||
Admitted as transfer | 1.87 (1.42, 2.33) | 1.09 (0.81, 1.38) | 1.33 (1.02, 1.73) |
Admitted not on transfer | 0.30 (0.25, 0.35) | 0.30 (0.25, 0.34) | 0.32 (0.27, 0.37) |
DRGs were evaluated based on transfer status, mortality, and study year. The most common DRGs for survivors were generally consistent across years and transfer status: neonate, bronchitis and asthma, pneumonia, esophagitis/gastroenteritis, nutritional and metabolic disturbances, and vaginal delivery. Among decedents, the primary diagnoses also included neonate, but in contrast with survivors were more likely to include traumatic injury, cardiothoracic surgery/medical care (ie, for congenital cardiac/valve disease), respiratory diagnosis with ventilatory support, and craniotomy. DRGs for decedents were consistent across years and transfer status (data available upon request to the authors).
DRGs were also evaluated based by payer status across all 3 study years (data not shown). The most common DRGs showed no meaningful differences in the types of conditions for children who were transferred versus not, across all payer types (including uninsured children).
Length of Stay and Hospital Charges, by Survival, Payer, and Transfer Status
Table 4 illustrates the national patterns of mean length of stay by age, survival, and transfer status. Data for 2002 are shown; the other study years had very similar findings and are available from the authors.
Admitted on Transfer (95% CI) | Admitted Not on Transfer (95% CI) | |||
---|---|---|---|---|
Alive | Died | Alive | Died | |
Age | ||||
Newborn | 16.9 (14.7‐19.0) | 19.6 (15.1‐24.0) | 3.2 (3.0‐3.3) | 8.3 (6.9‐9.7) |
0‐<1year | 11.3 (9.1‐13.0) | 24.8 (18.8‐30.8) | 3.5 (3.2‐3.8) | 20.1 (12.8‐27.5) |
1‐5 years | 4.8 (4.2‐5.6) | 16.0 (8.5‐23.4) | 3.0 (3.4‐4.0) | 12.7 (7.2‐18.2) |
6‐10 years | 6.4 (4.7‐8.2) | 12.9 (4.9‐20.8) | 3.7 (3.4‐4.0) | 13.8 (9.7‐17.8) |
11‐17 years | 8.0 (6.0‐10.0) | 8.8 (5.8‐11.7) | 4.0 (3.7‐4.3) | 10.2 (6.4‐14.0) |
Payer | ||||
Medicaid | 11.4 (9.7‐13.1) | 21.8 (16.2‐27.4) | 3.5 (3.4‐3.7) | 11.2 (9.2‐13.3) |
Private | 9.7 (8.6‐10.7) | 17.1 (13.5‐20.7) | 3.1 (3.0‐3.2) | 9.3 (7.4‐11.1) |
Uninsured | 7.0 (4.8‐9.2) | 5.3 (1.1‐9.5) | 2.8 (2.6‐3.1) | 3.1 (1.2‐5.0) |
Length of stay differed significantly by transfer and survival status, and also varied significantly by insurance coverage. In 2002, among children who were admitted not on transfer, those who died had significantly longer mean length stay than those who survived. Among children admitted as a transfer, for all but non‐newborn infants and those 15 years of age, length of stay did not differ significantly by survival status.
For children covered by Medicaid and private insurance, decedents had significantly longer length of stay compared to survivors, regardless of transfer status. However, this was not the case for uninsured children, for whom those who died and those who survived had statistically indistinguishable lengths of stay, within the transfer/non‐ transfer groups. Findings for 1997 and 1992 were similar (data not shown).
Mean hospital charges are presented in Table 5. For children covered by Medicaid and private insurance, among patients who were admitted not on transfer, those who died had more than 8‐fold greater charges than those who survived. A similar trend was seen for patients admitted on transfer who were covered by Medicaid and private insurance, with more than 3‐fold greater charges for those who died versus those who survived. In contrast, for uninsured children, those who were admitted not on transfer and died had only 3.5‐fold greater charges compared to survivors, and those who were admitted on transfer and died had only 2‐fold greater charges compared to survivors.
Admitted on Transfer (95% CI) | Admitted Not on Transfer (95% CI) | |||
---|---|---|---|---|
Alive | Died | Alive | Died | |
Payer | ||||
Medicaid | 43,123 (34,570‐51,675) | 141,280 (104,881‐177,679) | 8,456 (7,3489‐9,564) | 73,798 (59,71‐87,884) |
Private | 41,037 (33,420‐48,653) | 142,739 (110,122‐175,355) | 7,519 (6,597‐8,441) | 62,195 (50,722‐73,667) |
Uninsured | 21,228 (15,389‐27,068) | 48,036 (28,974‐67,099) | 5,591 (4,372‐6,810) | 19,910 (13,342‐26,479) |
DISCUSSION
Children's Inpatient Mortality
This is the first study of which we are aware that examines EOL hospitalization patterns for children in a national sample, spanning a decade. Our data revealed that the pediatric inpatient mortality rate is consistently highest among children in the non‐newborn infant age group over this time period, and that the burden of mortality is persistently greatest among newborns. These age‐specific findings are consistent with vital statistics published separately for each of the study years regarding overall childhood mortality.1820
This study highlights what many health care providers may not recognize: to meet the needs of the greatest numbers of families with gravely ill children, EOL care efforts must focus on the very youngest. Many of these children may not have chronic conditions, which have been a central focus of many pediatric EOL efforts to date. In fact, the parents of most gravely ill children in the hospital may have had just a few days or hours to prepare to face the loss of their children.
In addition, children admitted on interhospital transfer are significantly more likely to die while hospitalized. This pattern likely represents referral of severely ill children to medical centers that offer tertiary and quaternary specialty care, rather than risks associated with the transfer event itself. Some parents and their children may be far away from home and their closest networks of social support.7 Overall, these findings strongly indicate that EOL efforts will meet the needs of greater proportions of parents if they actively incorporate considerations of age and transfer status as institutions reach out to families in need of support.
Of note, this analysis does not capture children who were discharged into hospice, or long‐term care facilities, or who may have been discharged to home and may have died thereafter. Discharge disposition is known to vary by age, with older children with chronic conditions being more likely to use hospice services compared with infants.8 A recent study suggests that deaths outside the hospital have become increasingly common for older children over time, with the expansion of EOL supportive services in communities to meet the needs of families with gravely ill children.8
Length of Stay, Hospital Charges, and Mortality Related to Insurance Status
In this study, insured children who were admitted and died had significantly longer hospital stays compared to uninsured children who were admitted and died. DRG diagnoses by payer were very similar among children who died, although it is possible that differences in length of stay by payer status may reflect differences in severity of illness at admission and/or processes of care during hospitalization, which could not be fully accounted for using diagnostic codes. Hospitalizations that ended in death were significantly more expensive than hospitalizations in which children survived to discharge, regardless of age, payer status, or transfer status. However, incremental differences in spending for those who died versus those who survived were much greater for children with health insurance than for children without, suggesting greater resource utilization for children with coverage. Resource utilization is reflected largely in length of stay, which explains why our findings for differences in length of stay were echoed so strongly in our findings regarding differences in hospital charges.
Several studies of EOL care for adults have indicated that uninsured patients sustained higher inpatient mortality and lower hospital resource use versus insured adults, across similar diagnoses.13, 2123 Among children, Braveman and colleagues found differences in hospital resource allocation among sick newborns according to insurance coverage that are echoed in the findings of our study.24 Sick newborns without insurance received fewer inpatient services, with statistically significant shorter length of stay and total charges compared to insured newborns. In our study, disparities related to insurance coverage were consistent over the decade considered, and likely indicate ongoing challenges of broad disparities in access to care for children related to insurance coverage in the US health care system. Perhaps the greatest disparity was in mortality itself, which was highest among the uninsured, although the gap in mortality rates by insurance status appeared narrower in 2002 than in the prior study years.
Mortality Rates by Transfer Status
Mortality rates stratified by transfer status revealed that children transferred between hospitals had a significantly higher mortality rate, compared to children admitted not on transfer. Literature evaluating adult intensive care units found that transferred patients have more comorbid conditions, greater severity of illness, and 1.4‐fold to 2.5‐fold higher hospital mortality rates compared to direct admissions.25 Similar challenges face pediatric patients who are transferred to intensive care settings, where children at higher clinical risk have a higher morality rate and utilize greater resources compared with less critically ill children.14 Hospital EOL support personnel must be cognizant of the high mortality rate for transferred patients, and services may need to be adjusted to address the needs of these families. Additionally, further research is needed to better understand and remedy these potential disparities in care for children based on insurance status.
Limitations
This study is potentially limited by the accuracy of hospital discharge data, which may have influenced our outcomes. Further, not all states participate in the NIS; 11 states participated in 1992, 22 states participated in 1997, and 35 states participated in 2002. Although NIS data are weighted to be nationally representative in each year, it is possible that the participating states may have differed in systematic ways from nonparticipating states. However, the external validity of our data with regard to patterns of mortality by age and diagnoses, and the stability of patterns across a span of several years, suggest strongly that our findings are likely robust to these potential biases in this dataset.
As with any hospital resource use data, we are mindful that the distribution of data regarding length of stay and charges are typically right‐skewed, and therefore mean values should be interpreted with caution. In using mean values to test our hypotheses, we have followed the standard method of comparison for nationally weighted data.16
CONCLUSION
This national study of inpatient mortality patterns among US children over the span of a decade presents a new framework of challenges to clinicians and investigators regarding EOL care for children. As health care providers and institutions expand their efforts to meet the needs of severely ill children and their families, such efforts must be cognizant of the high burden of mortality among the youngest children, as well as those who are transferred between hospitals, and children without insurance coverage. These children and their families may require expanded EOL care and support services, beyond those typically available in most hospitals and communities.
APPENDIX
DIAGNOSIS‐RELATED GROUPS BY TRANSFER AND SURVIVAL STATUS
1992 | % | 1997 | % | 2002 | % |
---|---|---|---|---|---|
| |||||
Transferred ‐ Survived | |||||
Neonate* | 26.2 | Neonate* | 23.2 | Neonate* | 24.6 |
Bronchitis and Asthma | 6.4 | Bronchitis and Asthma | 7.4 | Bronchitis and Asthma | 8.0 |
Seizure and Headache | 3.7 | Simple Pneumonia | 3.3 | Seizure and Headache | 4.2 |
Simple Pneumonia | 3.4 | Seizure and Headache | 3.2 | Simple Pneumonia | 3.7 |
Esophagitis and Gastroenteritis | 3.0 | Psychoses | 3.2 | Esophagitis and Gastroenteritis | 3.0 |
Transferred ‐ Died | |||||
Neonate | 35.1 | Neonate | 38.2 | Neonate | 40.5 |
Cardiac Disease and/or Cardiothoracic surgery | 9.6 | Cardiac Disease and/or Cardiothoracic surgery | 12.2 | Cardiac Disease and/or Cardiothoracic surgery | 10.9 |
Respiratory diagnosis with ventilatory support | 6.8 | Respiratory diagnosis with ventilatory support | 7.7 | Respiratory diagnosis with ventilatory support | 7.0 |
Craniotomy | 3.5 | Septicemia | 2.8 | Injury, Poisoning | 2.4 |
Injury, Poisoning | 3.3 | Tracheostomy with ventilatory support | 2.8 | Craniotomy | 2.2 |
Not Transferred ‐ Survived | |||||
Neonate* | 60.6 | Neonate* | 63 | Neonate* | 66.4 |
Bronchitis and Asthma | 4.9 | Bronchitis and Asthma | 5.3 | Bronchitis and Asthma | 4.7 |
Esophagitis and Gastroenteritis | 3.1 | Simple Pneumonia | 2.9 | Simple Pneumonia | 2.5 |
Simple Pneumonia | 2.7 | Esophagitis and Gastroenteritis | 2.6 | Esophagitis and Gastroenteritis | 2.0 |
Vaginal Delivery | 2.2 | Vaginal Delivery | 2.3 | Nutritional and Metabolic Disorder | 1.8 |
Not Transferred ‐ Died | |||||
Neonate | 61.5 | Neonate | 66.2 | Neonate | 69.0 |
Traumatic Coma or Operative Procedure for Traumatic Injury | 3.3 | Traumatic Coma or Operative Procedure for Traumatic Injury | 4.8 | Traumatic Coma or Operative Procedure for Traumatic Injury | 4.7 |
Cardiac Disease and/or Cardiothoracic surgery | 2.9 | Cardiac Disease and/or Cardiothoracic surgery | 2.7 | Respiratory diagnosis with ventilatory support | 2.7 |
Craniotomy | 2.3 | Respiratory diagnosis with ventilatory support | 2.5 | Craniotomy | 2.4 |
Respiratory diagnosis with ventilatory support | 2.0 | Septicemia | 1.4 | Septicemia | 1.2 |
- Annual summary of vital statistics: 2005.Pediatrics.2007;119(2):345–360. , , , , , .
- Circumstances surrounding the deaths of hospitalized children: opportunities for pediatric palliative care.Pediatrics.2004;114(3):e361–e366. , , , , , .
- Characteristics of deaths occurring in children's hospitals: implications for supportive care services.Pediatrics.2002;109(5):887–893. , , , , , .
- Declining severity adjusted mortality: evidence of improving neonatal intensive care.Pediatrics.1998;102(4):893–899. , , , , , .
- Use of intensive care at the end of life in the United States: an epidemiologic study.Crit Care Med.2004;32(3):638–643. , , , et al.
- Cancer‐related deaths in children and adolescents.J Palliat Med.2005;8(1):86–95. , , , , .
- Where do children with complex chronic conditions die? Patterns in Washington State, 1980‐1998.Pediatrics.2002;109(4):656–660. , , .
- Deaths attributed to pediatric complex chronic conditions: national trends and implications for supportive care services.Pediatrics.2001;107(6):e99. , , , , , .
- Medical end‐of‐life decisions for children in the Netherlands.Arch Pediatr Adolescent Med.005;159(9):802–809. , , , et al.
- Medicare beneficiaries' costs of care in the last year of life.Health Affairs.2001;20(4):188–195. , , , .
- Medicare Beneficiaries' Costs and Use of Care in the Last Year of Life.Washington, DC:MedPAC;2000. , , , , .
- Trends in Medicare payments in the last year of life.N Engl J Med.1993;328(15):1092–1096. , .
- Comparing uninsured and privately insured hospital patients: admission severity, health outcomes and resource use.Health Serv Manage Res.2001;14(3):203–210. , , .
- Characteristics and outcomes of interhospital transfers from level II to level I pediatric intensive care units.Pediatr Crit Care Med.2006;7(6):536–540. , , , et al.
- Agency for Healthcare Research and Quality. National Inpatient Sample (NIS). Healthcare Cost and Utilization Project (HCUP). http://www.hcup‐us.ahrq.gov/nisoverview.jsp. Accessed August 26,2008.
- Agency for Healthcare Research and Quality, . Healthcare Cost and Utilization Project H CUP. Care of Children and Adolescents in U.S. Hospitals. HCUP Fact Book No. 4, Publication No. 04‐0004. http://www.ahrq.gov/data/hcup/factbk4/. Accessed August 26,2008.
- U.S. Department of Labor, Bureau of Labor Statistics. Consumer Price Index.ftp://ftp.bls.gov/pub/special.requests/cpi/cpiai.txt. Accessed August 26,2008.
- Annual summary of vital statistics‐‐2002.Pediatrics.2003;112(6):1215–1230. , , , .
- Annual summary of vital statistics‐‐1996.Pediatrics.1997;100(6):905–918. , , , , .
- Annual summary of vital statistics‐‐1992.Pediatrics.1993;92(6):743–754. .
- Acutely injured patients with trauma in Massachusetts: differences in care and mortality, by insurance status.Am J Publ Health.1994;84(10):1605–1608. , .
- Comparison of uninsured and privately insured hospital patients. Condition on admission, resource use, and outcome.JAMA.1991;265(3):374–379. , , .
- Inequities in hospital care, the Massachusetts experience.Inquiry.1991;28(3):255–262. , .
- Differences in hospital resource allocation among sick newborns according to insurance coverage.JAMA.1991;266(23):3300–3308. , , , .
- Accepting critically ill transfer patients: adverse effect on a referral center's outcome and benchmark measures. [summary for patients in Ann Intern Med. 2003;138(11):I42; PMID: 12779311].Ann Intern Med.2003;138(11):882–890. , , , , .
More than 53,000 children 19 years of age or younger died in 2004,1 and more than 40% of these children died while hospitalized.25 Recently, pediatric end‐of‐life (EOL) issues have gained clinical and research attention, primarily focused on children with chronic conditions, ethical dilemmas surrounding childhood death and dying, and the need for interdisciplinary palliative care efforts for dying children and their families.2, 3, 69
Much remains unknown about patterns of EOL hospital care at the national level for all children, both with and without complex chronic conditions. Because a large proportion of childhood mortality occurs during hospitalization, the inpatient setting is a crucial arena for patients and families facing EOL issues. However, little is known about how insurance status and interhospital transfer are associated with patterns of hospitalization and mortality for children while hospitalized, or about hospital charges and lengths of stay for children who die as inpatients versus those who survive to discharge. In addition, although spending on EOL health care in the United States has attracted considerable attention in recent years, the published literature focuses almost exclusively on adult populations.1012
Illuminating the patterns of childhood mortality in hospital settings may inform expanding institutional efforts to address death and dying for children and their families. We conducted an analysis of national patterns of hospitalization over a span of a decade (19922002), in order to characterize sociodemographic and health care factors associated with inpatient mortality, and to examine patterns of hospital resource use related to EOL care. We hypothesized that resource use would be higher for children who died versus those who survived, and would be higher for uninsured versus insured children.13 We also hypothesized that children admitted upon transfer from another hospital would have higher risk of mortality.14
METHODS
Our data source was the National Inpatient Sample (NIS), which is a component of the Healthcare Cost and Utilization Project (HCUP) sponsored by the Agency for Healthcare Research and Quality. The HCUP is a set of databases developed through partnership among health care institutions and federal and state governments.15 The NIS is the largest publicly available all‐payer inpatient database in the United States, and contains de‐identified, patient‐level clinical data included in a typical discharge abstract. For each year, these data reflect hospital stays from between 800 and 1000 institutions sampled to approximate a 20% stratified sample of nonfederal community hospitals, including public hospitals, children's hospitals, and academic medical centers but excluding long‐term hospitals, psychiatric hospitals, and chemical dependency treatment facilities.
We chose the NIS for this analysis because we were interested in the most common diagnoses for hospitalized children. An alternative database, such as the KID (Kids Inpatient Database), is optimal for less commonly seen discharge diagnoses and did not permit a full decade of retrospective analysis.
In order to characterize changes in mortality and health resource utilization related to our research questions, we conducted a comparative cross‐sectional analysis of 3 years of the NIS over the years 1992, 1997, and 2002. For each year of NIS data, discharge‐level weights were provided to permit calculation of national estimates of hospitalization rates standardized to the concurrent national population.15 All inpatient hospital stays of children aged 17 years and younger were selected.
Discharge data were analyzed based on age, sex, payer status, and transfer status on admission. Although transfer status is not often considered in studies of mortality, we expected that it would be associated with mortality, as a potential indicator of disease severity.14 We included only interhospital transfers, and excluded patients transferred from other locations such as long‐term care facilities. We categorized discharges into 5 age groups: newborns, whose hospitalization began at birth; infants up to 1 year of age who were not born during hospitalization; 15 years; 610 years; and 1117 years. This stratification allowed us to separate infants who were admitted from home or from another hospital versus those who were born during hospitalization. Payer groups included Medicaid, private insurance, and uninsured. Medicare and other payers were analyzed, but were present in very small numbers and are not reported.
Outcomes included weighted inpatient mortality rate, weighted mean of length of stay (in days), and weighted mean total hospital charges. For nationally weighted data, lengths of stay and hospital charges are typically reported as means because weighted medians cannot be estimated.16 We compared mortality patterns for patients who were transferred between hospitals versus those who were not, using multivariable logistic regression to identify factors associated with in‐hospital mortality. Of note, transfer status was evaluated from the standpoint of the receiving hospital as children who were admitted upon transfer from another hospital. Thus, our estimates likely underestimate the effects attributed to interhospital transfer, because this evaluation is unilateral and does not include the transferring hospital. The 5 most common principal Diagnosis‐Related Groups (DRGs) upon discharge were compiled for each of the study years for both survivors and decedents. In order to interpret the analyses of discharge‐related hospital charges in constant dollars, we standardized all hospital charges to 2002 US dollars using the Consumer Price Index.17
Statistical analyses included bivariate comparisons of sociodemographic characteristics and the study outcomes, for each of the study years. We also conducted multivariable regression analyses of mortality, comparing effects of sociodemographic variables and transfer status. We conducted all analyses using Stata, version 8 (Stata Corp., College Station, TX), with which we incorporated sample weights to account for the complex stratified sampling of hospitals that comprise the NIS, and to generate variance estimates with which we derived 95% confidence intervals (95% CI). NIS samples included weighted data for 6.2 million discharges in 1992, 7.1 million discharges in 1997, and 7.9 million discharges in 2002. All results are presented using weighted values. The study was funded internally and all analyses were conducted by the authors. The authors had no financial interest in the outcome. The study was exempt from human subjects review as an analysis of de‐identified secondary data.
RESULTS
Study Sample
NIS samples represented between 35 million and 37.8 million discharges nationally in each of the study years. Distributions of discharges across age group, gender, and payer group were similar across the study years (Table 1).
Characteristic | 1992 N = 6,722,647 | 1997 N = 6,365,886 | 2002 N = 6,456,077 |
---|---|---|---|
| |||
Age (%) | |||
Newborn | 60.0 | 63.0 | 65.0 |
Admitted as transfer* | 1.3 | 1.1 | 1.2 |
0‐<1 year | 8.7 | 8.0 | 8.6 |
Admitted as transfer* | 7.6 | 7.2 | 8.8 |
1‐5 years | 11.9 | 11.0 | 9.2 |
Admitted as transfer* | 5.1 | 4.5 | 5.6 |
6‐10 years | 5.5 | 5.0 | 5.0 |
Admitted as transfer* | 4.9 | 4.7 | 5.3 |
11‐17 years | 13.9 | 13.0 | 12.2 |
Admitted as transfer* | 3.1 | 4.2 | 4.8 |
Gender (%) | |||
Female | 49.0 | 49.0 | 49.0 |
Payer (%) | |||
Medicaid | 37.0 | 36.0 | 39.0 |
Admitted as transfer* | 3.3 | 3.0 | 3.4 |
Private | 52.0 | 55.0 | 53.0 |
Admitted as transfer* | 2.3 | 2.3 | 2.4 |
Uninsured | 7.0 | 5.0 | 5.0 |
Admitted as transfer* | 2.4 | 2.4 | 2.4 |
The proportions of patients admitted as transfers between hospitals are shown for each age group, as well as by payer. Non‐newborn infants had the highest rate of transfer for each year studied, compared with the other age groups. Across the study years, transfer status was fairly uniform across payers.
Patterns of Inpatient Mortality
During the study period, overall pediatric inpatient mortality decreased from 32,941 children (0.49% of all child discharges) in 1992 to 25,824 children (0.40%) in 2002, although this was not a statistically significant change. The inpatient mortality rate across all years studied was significantly higher for the non‐newborn infants (<1 years) than for all other age groups in all study years (P <.005) (Table 2). The newborn age group had the second highest mortality rate in all years, and the remaining 3 groups had similar mortality rates.
Age Groups* | Annual Inpatient Mortality Rate | ||
---|---|---|---|
1992 N = 6,722,647 | 1997 N = 6,365,886 | 2002 N = 6,456,077 | |
| |||
Overall | 0.49% | 0.41% | 0.40% |
Newborn | 0.50% | 0.41% | 0.40% |
0‐<1 year | 0.77% | 0.64% | 0.52% |
1‐5 years | 0.43% | 0.34% | 0.33% |
6‐10 years | 0.41% | 0.34% | 0.34% |
11‐17 years | 0.35% | 0.34% | 0.36% |
Payer groups | |||
Medicaid | 0.51% | 0.44% | 0.45% |
Private | 0.38% | 0.34% | 0.33% |
Uninsured | 0.69% | 0.69% | 0.58% |
However, because the majority of child hospitalizations are for newborns, the overall burden of mortality was greatest for newborns in all years studied. In 2002, 68.6% of pediatric inpatient deaths were newborns, 8.2% were non‐newborn infants, 7.7% were 15 years old, 4.2% were 610 years old, and 11.3% were 1117 years old. These findings were similarly distributed across age groups in 1992 and 1997 as well (data not shown).
Inpatient mortality rates also differed significantly by payer in all study years (Table 2). In each year, uninsured children had the highest mortality rates followed by children with Medicaid coverage and children with private health plans. Given the proportions of discharges with coverage by Medicaid versus private plans and the differences in mortality rates, the overall burden of mortality was greatest for children with private coverage in 1992 and 1997, and was equivalent to that of Medicaid (11,292 versus 11,330, respectively) in 2002.
Table 3 presents inpatient mortality rate by age and transfer status. Patients who were admitted on transfer from another acute care hospital had a significantly greater mortality rate for all age groups, compared with patients admitted not on transfer, within the same age group. The strong association of mortality with transfer status remained in multivariable regression analyses, adjusted for age and payer status (data not shown).
Mortality Rate (% of Discharges) | |||
---|---|---|---|
Age Group and Transfer Status | 1992 (95% CI) | 1997 (95% CI) | 2002 (95% CI) |
Newborn | |||
Admitted as transfer | 4.57 (3.56, 5.59) | 4.22 (3.44, 5.00) | 4.75 (3.80, 5.93) |
Admitted not on transfer | 0.45 (0.40, 0.51) | 0.37 (0.33, 0.40) | 0.36 (0.32, 0.40) |
0‐<1 year | |||
Admitted as transfer | 5.05 (3.83, 6.28) | 4.38 (3.59, 5.17) | 2.86 (2.32, 3.53) |
Admitted not on transfer | 0.43 (0.34, 0.50) | 0.35 (0.28, 0.43) | 0.30 (0.23, 0.40) |
1‐5 years | |||
Admitted as transfer | 2.26 (1.61, 2.19) | 1.59 (1.20, 1.98) | 1.33 (0.97, 1.83) |
Admitted not on transfer | 0.33 (0.25, 0.40) | 0.27 (0.22, 0.33) | 0.27 (0.22, 0.33) |
6‐10 years | |||
Admitted as transfer | 2.01 (1.23, 2.96) | 1.48 (0.92, 2.03) | 1.11 (0.83, 1.49) |
Admitted not on transfer | 0.32 (0.26, 0.39) | 0.28 (0.22, 0.34) | 0.29 (0.24, 0.36) |
11‐17 years | |||
Admitted as transfer | 1.87 (1.42, 2.33) | 1.09 (0.81, 1.38) | 1.33 (1.02, 1.73) |
Admitted not on transfer | 0.30 (0.25, 0.35) | 0.30 (0.25, 0.34) | 0.32 (0.27, 0.37) |
DRGs were evaluated based on transfer status, mortality, and study year. The most common DRGs for survivors were generally consistent across years and transfer status: neonate, bronchitis and asthma, pneumonia, esophagitis/gastroenteritis, nutritional and metabolic disturbances, and vaginal delivery. Among decedents, the primary diagnoses also included neonate, but in contrast with survivors were more likely to include traumatic injury, cardiothoracic surgery/medical care (ie, for congenital cardiac/valve disease), respiratory diagnosis with ventilatory support, and craniotomy. DRGs for decedents were consistent across years and transfer status (data available upon request to the authors).
DRGs were also evaluated based by payer status across all 3 study years (data not shown). The most common DRGs showed no meaningful differences in the types of conditions for children who were transferred versus not, across all payer types (including uninsured children).
Length of Stay and Hospital Charges, by Survival, Payer, and Transfer Status
Table 4 illustrates the national patterns of mean length of stay by age, survival, and transfer status. Data for 2002 are shown; the other study years had very similar findings and are available from the authors.
Admitted on Transfer (95% CI) | Admitted Not on Transfer (95% CI) | |||
---|---|---|---|---|
Alive | Died | Alive | Died | |
Age | ||||
Newborn | 16.9 (14.7‐19.0) | 19.6 (15.1‐24.0) | 3.2 (3.0‐3.3) | 8.3 (6.9‐9.7) |
0‐<1year | 11.3 (9.1‐13.0) | 24.8 (18.8‐30.8) | 3.5 (3.2‐3.8) | 20.1 (12.8‐27.5) |
1‐5 years | 4.8 (4.2‐5.6) | 16.0 (8.5‐23.4) | 3.0 (3.4‐4.0) | 12.7 (7.2‐18.2) |
6‐10 years | 6.4 (4.7‐8.2) | 12.9 (4.9‐20.8) | 3.7 (3.4‐4.0) | 13.8 (9.7‐17.8) |
11‐17 years | 8.0 (6.0‐10.0) | 8.8 (5.8‐11.7) | 4.0 (3.7‐4.3) | 10.2 (6.4‐14.0) |
Payer | ||||
Medicaid | 11.4 (9.7‐13.1) | 21.8 (16.2‐27.4) | 3.5 (3.4‐3.7) | 11.2 (9.2‐13.3) |
Private | 9.7 (8.6‐10.7) | 17.1 (13.5‐20.7) | 3.1 (3.0‐3.2) | 9.3 (7.4‐11.1) |
Uninsured | 7.0 (4.8‐9.2) | 5.3 (1.1‐9.5) | 2.8 (2.6‐3.1) | 3.1 (1.2‐5.0) |
Length of stay differed significantly by transfer and survival status, and also varied significantly by insurance coverage. In 2002, among children who were admitted not on transfer, those who died had significantly longer mean length stay than those who survived. Among children admitted as a transfer, for all but non‐newborn infants and those 15 years of age, length of stay did not differ significantly by survival status.
For children covered by Medicaid and private insurance, decedents had significantly longer length of stay compared to survivors, regardless of transfer status. However, this was not the case for uninsured children, for whom those who died and those who survived had statistically indistinguishable lengths of stay, within the transfer/non‐ transfer groups. Findings for 1997 and 1992 were similar (data not shown).
Mean hospital charges are presented in Table 5. For children covered by Medicaid and private insurance, among patients who were admitted not on transfer, those who died had more than 8‐fold greater charges than those who survived. A similar trend was seen for patients admitted on transfer who were covered by Medicaid and private insurance, with more than 3‐fold greater charges for those who died versus those who survived. In contrast, for uninsured children, those who were admitted not on transfer and died had only 3.5‐fold greater charges compared to survivors, and those who were admitted on transfer and died had only 2‐fold greater charges compared to survivors.
Admitted on Transfer (95% CI) | Admitted Not on Transfer (95% CI) | |||
---|---|---|---|---|
Alive | Died | Alive | Died | |
Payer | ||||
Medicaid | 43,123 (34,570‐51,675) | 141,280 (104,881‐177,679) | 8,456 (7,3489‐9,564) | 73,798 (59,71‐87,884) |
Private | 41,037 (33,420‐48,653) | 142,739 (110,122‐175,355) | 7,519 (6,597‐8,441) | 62,195 (50,722‐73,667) |
Uninsured | 21,228 (15,389‐27,068) | 48,036 (28,974‐67,099) | 5,591 (4,372‐6,810) | 19,910 (13,342‐26,479) |
DISCUSSION
Children's Inpatient Mortality
This is the first study of which we are aware that examines EOL hospitalization patterns for children in a national sample, spanning a decade. Our data revealed that the pediatric inpatient mortality rate is consistently highest among children in the non‐newborn infant age group over this time period, and that the burden of mortality is persistently greatest among newborns. These age‐specific findings are consistent with vital statistics published separately for each of the study years regarding overall childhood mortality.1820
This study highlights what many health care providers may not recognize: to meet the needs of the greatest numbers of families with gravely ill children, EOL care efforts must focus on the very youngest. Many of these children may not have chronic conditions, which have been a central focus of many pediatric EOL efforts to date. In fact, the parents of most gravely ill children in the hospital may have had just a few days or hours to prepare to face the loss of their children.
In addition, children admitted on interhospital transfer are significantly more likely to die while hospitalized. This pattern likely represents referral of severely ill children to medical centers that offer tertiary and quaternary specialty care, rather than risks associated with the transfer event itself. Some parents and their children may be far away from home and their closest networks of social support.7 Overall, these findings strongly indicate that EOL efforts will meet the needs of greater proportions of parents if they actively incorporate considerations of age and transfer status as institutions reach out to families in need of support.
Of note, this analysis does not capture children who were discharged into hospice, or long‐term care facilities, or who may have been discharged to home and may have died thereafter. Discharge disposition is known to vary by age, with older children with chronic conditions being more likely to use hospice services compared with infants.8 A recent study suggests that deaths outside the hospital have become increasingly common for older children over time, with the expansion of EOL supportive services in communities to meet the needs of families with gravely ill children.8
Length of Stay, Hospital Charges, and Mortality Related to Insurance Status
In this study, insured children who were admitted and died had significantly longer hospital stays compared to uninsured children who were admitted and died. DRG diagnoses by payer were very similar among children who died, although it is possible that differences in length of stay by payer status may reflect differences in severity of illness at admission and/or processes of care during hospitalization, which could not be fully accounted for using diagnostic codes. Hospitalizations that ended in death were significantly more expensive than hospitalizations in which children survived to discharge, regardless of age, payer status, or transfer status. However, incremental differences in spending for those who died versus those who survived were much greater for children with health insurance than for children without, suggesting greater resource utilization for children with coverage. Resource utilization is reflected largely in length of stay, which explains why our findings for differences in length of stay were echoed so strongly in our findings regarding differences in hospital charges.
Several studies of EOL care for adults have indicated that uninsured patients sustained higher inpatient mortality and lower hospital resource use versus insured adults, across similar diagnoses.13, 2123 Among children, Braveman and colleagues found differences in hospital resource allocation among sick newborns according to insurance coverage that are echoed in the findings of our study.24 Sick newborns without insurance received fewer inpatient services, with statistically significant shorter length of stay and total charges compared to insured newborns. In our study, disparities related to insurance coverage were consistent over the decade considered, and likely indicate ongoing challenges of broad disparities in access to care for children related to insurance coverage in the US health care system. Perhaps the greatest disparity was in mortality itself, which was highest among the uninsured, although the gap in mortality rates by insurance status appeared narrower in 2002 than in the prior study years.
Mortality Rates by Transfer Status
Mortality rates stratified by transfer status revealed that children transferred between hospitals had a significantly higher mortality rate, compared to children admitted not on transfer. Literature evaluating adult intensive care units found that transferred patients have more comorbid conditions, greater severity of illness, and 1.4‐fold to 2.5‐fold higher hospital mortality rates compared to direct admissions.25 Similar challenges face pediatric patients who are transferred to intensive care settings, where children at higher clinical risk have a higher morality rate and utilize greater resources compared with less critically ill children.14 Hospital EOL support personnel must be cognizant of the high mortality rate for transferred patients, and services may need to be adjusted to address the needs of these families. Additionally, further research is needed to better understand and remedy these potential disparities in care for children based on insurance status.
Limitations
This study is potentially limited by the accuracy of hospital discharge data, which may have influenced our outcomes. Further, not all states participate in the NIS; 11 states participated in 1992, 22 states participated in 1997, and 35 states participated in 2002. Although NIS data are weighted to be nationally representative in each year, it is possible that the participating states may have differed in systematic ways from nonparticipating states. However, the external validity of our data with regard to patterns of mortality by age and diagnoses, and the stability of patterns across a span of several years, suggest strongly that our findings are likely robust to these potential biases in this dataset.
As with any hospital resource use data, we are mindful that the distribution of data regarding length of stay and charges are typically right‐skewed, and therefore mean values should be interpreted with caution. In using mean values to test our hypotheses, we have followed the standard method of comparison for nationally weighted data.16
CONCLUSION
This national study of inpatient mortality patterns among US children over the span of a decade presents a new framework of challenges to clinicians and investigators regarding EOL care for children. As health care providers and institutions expand their efforts to meet the needs of severely ill children and their families, such efforts must be cognizant of the high burden of mortality among the youngest children, as well as those who are transferred between hospitals, and children without insurance coverage. These children and their families may require expanded EOL care and support services, beyond those typically available in most hospitals and communities.
APPENDIX
DIAGNOSIS‐RELATED GROUPS BY TRANSFER AND SURVIVAL STATUS
1992 | % | 1997 | % | 2002 | % |
---|---|---|---|---|---|
| |||||
Transferred ‐ Survived | |||||
Neonate* | 26.2 | Neonate* | 23.2 | Neonate* | 24.6 |
Bronchitis and Asthma | 6.4 | Bronchitis and Asthma | 7.4 | Bronchitis and Asthma | 8.0 |
Seizure and Headache | 3.7 | Simple Pneumonia | 3.3 | Seizure and Headache | 4.2 |
Simple Pneumonia | 3.4 | Seizure and Headache | 3.2 | Simple Pneumonia | 3.7 |
Esophagitis and Gastroenteritis | 3.0 | Psychoses | 3.2 | Esophagitis and Gastroenteritis | 3.0 |
Transferred ‐ Died | |||||
Neonate | 35.1 | Neonate | 38.2 | Neonate | 40.5 |
Cardiac Disease and/or Cardiothoracic surgery | 9.6 | Cardiac Disease and/or Cardiothoracic surgery | 12.2 | Cardiac Disease and/or Cardiothoracic surgery | 10.9 |
Respiratory diagnosis with ventilatory support | 6.8 | Respiratory diagnosis with ventilatory support | 7.7 | Respiratory diagnosis with ventilatory support | 7.0 |
Craniotomy | 3.5 | Septicemia | 2.8 | Injury, Poisoning | 2.4 |
Injury, Poisoning | 3.3 | Tracheostomy with ventilatory support | 2.8 | Craniotomy | 2.2 |
Not Transferred ‐ Survived | |||||
Neonate* | 60.6 | Neonate* | 63 | Neonate* | 66.4 |
Bronchitis and Asthma | 4.9 | Bronchitis and Asthma | 5.3 | Bronchitis and Asthma | 4.7 |
Esophagitis and Gastroenteritis | 3.1 | Simple Pneumonia | 2.9 | Simple Pneumonia | 2.5 |
Simple Pneumonia | 2.7 | Esophagitis and Gastroenteritis | 2.6 | Esophagitis and Gastroenteritis | 2.0 |
Vaginal Delivery | 2.2 | Vaginal Delivery | 2.3 | Nutritional and Metabolic Disorder | 1.8 |
Not Transferred ‐ Died | |||||
Neonate | 61.5 | Neonate | 66.2 | Neonate | 69.0 |
Traumatic Coma or Operative Procedure for Traumatic Injury | 3.3 | Traumatic Coma or Operative Procedure for Traumatic Injury | 4.8 | Traumatic Coma or Operative Procedure for Traumatic Injury | 4.7 |
Cardiac Disease and/or Cardiothoracic surgery | 2.9 | Cardiac Disease and/or Cardiothoracic surgery | 2.7 | Respiratory diagnosis with ventilatory support | 2.7 |
Craniotomy | 2.3 | Respiratory diagnosis with ventilatory support | 2.5 | Craniotomy | 2.4 |
Respiratory diagnosis with ventilatory support | 2.0 | Septicemia | 1.4 | Septicemia | 1.2 |
More than 53,000 children 19 years of age or younger died in 2004,1 and more than 40% of these children died while hospitalized.25 Recently, pediatric end‐of‐life (EOL) issues have gained clinical and research attention, primarily focused on children with chronic conditions, ethical dilemmas surrounding childhood death and dying, and the need for interdisciplinary palliative care efforts for dying children and their families.2, 3, 69
Much remains unknown about patterns of EOL hospital care at the national level for all children, both with and without complex chronic conditions. Because a large proportion of childhood mortality occurs during hospitalization, the inpatient setting is a crucial arena for patients and families facing EOL issues. However, little is known about how insurance status and interhospital transfer are associated with patterns of hospitalization and mortality for children while hospitalized, or about hospital charges and lengths of stay for children who die as inpatients versus those who survive to discharge. In addition, although spending on EOL health care in the United States has attracted considerable attention in recent years, the published literature focuses almost exclusively on adult populations.1012
Illuminating the patterns of childhood mortality in hospital settings may inform expanding institutional efforts to address death and dying for children and their families. We conducted an analysis of national patterns of hospitalization over a span of a decade (19922002), in order to characterize sociodemographic and health care factors associated with inpatient mortality, and to examine patterns of hospital resource use related to EOL care. We hypothesized that resource use would be higher for children who died versus those who survived, and would be higher for uninsured versus insured children.13 We also hypothesized that children admitted upon transfer from another hospital would have higher risk of mortality.14
METHODS
Our data source was the National Inpatient Sample (NIS), which is a component of the Healthcare Cost and Utilization Project (HCUP) sponsored by the Agency for Healthcare Research and Quality. The HCUP is a set of databases developed through partnership among health care institutions and federal and state governments.15 The NIS is the largest publicly available all‐payer inpatient database in the United States, and contains de‐identified, patient‐level clinical data included in a typical discharge abstract. For each year, these data reflect hospital stays from between 800 and 1000 institutions sampled to approximate a 20% stratified sample of nonfederal community hospitals, including public hospitals, children's hospitals, and academic medical centers but excluding long‐term hospitals, psychiatric hospitals, and chemical dependency treatment facilities.
We chose the NIS for this analysis because we were interested in the most common diagnoses for hospitalized children. An alternative database, such as the KID (Kids Inpatient Database), is optimal for less commonly seen discharge diagnoses and did not permit a full decade of retrospective analysis.
In order to characterize changes in mortality and health resource utilization related to our research questions, we conducted a comparative cross‐sectional analysis of 3 years of the NIS over the years 1992, 1997, and 2002. For each year of NIS data, discharge‐level weights were provided to permit calculation of national estimates of hospitalization rates standardized to the concurrent national population.15 All inpatient hospital stays of children aged 17 years and younger were selected.
Discharge data were analyzed based on age, sex, payer status, and transfer status on admission. Although transfer status is not often considered in studies of mortality, we expected that it would be associated with mortality, as a potential indicator of disease severity.14 We included only interhospital transfers, and excluded patients transferred from other locations such as long‐term care facilities. We categorized discharges into 5 age groups: newborns, whose hospitalization began at birth; infants up to 1 year of age who were not born during hospitalization; 15 years; 610 years; and 1117 years. This stratification allowed us to separate infants who were admitted from home or from another hospital versus those who were born during hospitalization. Payer groups included Medicaid, private insurance, and uninsured. Medicare and other payers were analyzed, but were present in very small numbers and are not reported.
Outcomes included weighted inpatient mortality rate, weighted mean of length of stay (in days), and weighted mean total hospital charges. For nationally weighted data, lengths of stay and hospital charges are typically reported as means because weighted medians cannot be estimated.16 We compared mortality patterns for patients who were transferred between hospitals versus those who were not, using multivariable logistic regression to identify factors associated with in‐hospital mortality. Of note, transfer status was evaluated from the standpoint of the receiving hospital as children who were admitted upon transfer from another hospital. Thus, our estimates likely underestimate the effects attributed to interhospital transfer, because this evaluation is unilateral and does not include the transferring hospital. The 5 most common principal Diagnosis‐Related Groups (DRGs) upon discharge were compiled for each of the study years for both survivors and decedents. In order to interpret the analyses of discharge‐related hospital charges in constant dollars, we standardized all hospital charges to 2002 US dollars using the Consumer Price Index.17
Statistical analyses included bivariate comparisons of sociodemographic characteristics and the study outcomes, for each of the study years. We also conducted multivariable regression analyses of mortality, comparing effects of sociodemographic variables and transfer status. We conducted all analyses using Stata, version 8 (Stata Corp., College Station, TX), with which we incorporated sample weights to account for the complex stratified sampling of hospitals that comprise the NIS, and to generate variance estimates with which we derived 95% confidence intervals (95% CI). NIS samples included weighted data for 6.2 million discharges in 1992, 7.1 million discharges in 1997, and 7.9 million discharges in 2002. All results are presented using weighted values. The study was funded internally and all analyses were conducted by the authors. The authors had no financial interest in the outcome. The study was exempt from human subjects review as an analysis of de‐identified secondary data.
RESULTS
Study Sample
NIS samples represented between 35 million and 37.8 million discharges nationally in each of the study years. Distributions of discharges across age group, gender, and payer group were similar across the study years (Table 1).
Characteristic | 1992 N = 6,722,647 | 1997 N = 6,365,886 | 2002 N = 6,456,077 |
---|---|---|---|
| |||
Age (%) | |||
Newborn | 60.0 | 63.0 | 65.0 |
Admitted as transfer* | 1.3 | 1.1 | 1.2 |
0‐<1 year | 8.7 | 8.0 | 8.6 |
Admitted as transfer* | 7.6 | 7.2 | 8.8 |
1‐5 years | 11.9 | 11.0 | 9.2 |
Admitted as transfer* | 5.1 | 4.5 | 5.6 |
6‐10 years | 5.5 | 5.0 | 5.0 |
Admitted as transfer* | 4.9 | 4.7 | 5.3 |
11‐17 years | 13.9 | 13.0 | 12.2 |
Admitted as transfer* | 3.1 | 4.2 | 4.8 |
Gender (%) | |||
Female | 49.0 | 49.0 | 49.0 |
Payer (%) | |||
Medicaid | 37.0 | 36.0 | 39.0 |
Admitted as transfer* | 3.3 | 3.0 | 3.4 |
Private | 52.0 | 55.0 | 53.0 |
Admitted as transfer* | 2.3 | 2.3 | 2.4 |
Uninsured | 7.0 | 5.0 | 5.0 |
Admitted as transfer* | 2.4 | 2.4 | 2.4 |
The proportions of patients admitted as transfers between hospitals are shown for each age group, as well as by payer. Non‐newborn infants had the highest rate of transfer for each year studied, compared with the other age groups. Across the study years, transfer status was fairly uniform across payers.
Patterns of Inpatient Mortality
During the study period, overall pediatric inpatient mortality decreased from 32,941 children (0.49% of all child discharges) in 1992 to 25,824 children (0.40%) in 2002, although this was not a statistically significant change. The inpatient mortality rate across all years studied was significantly higher for the non‐newborn infants (<1 years) than for all other age groups in all study years (P <.005) (Table 2). The newborn age group had the second highest mortality rate in all years, and the remaining 3 groups had similar mortality rates.
Age Groups* | Annual Inpatient Mortality Rate | ||
---|---|---|---|
1992 N = 6,722,647 | 1997 N = 6,365,886 | 2002 N = 6,456,077 | |
| |||
Overall | 0.49% | 0.41% | 0.40% |
Newborn | 0.50% | 0.41% | 0.40% |
0‐<1 year | 0.77% | 0.64% | 0.52% |
1‐5 years | 0.43% | 0.34% | 0.33% |
6‐10 years | 0.41% | 0.34% | 0.34% |
11‐17 years | 0.35% | 0.34% | 0.36% |
Payer groups | |||
Medicaid | 0.51% | 0.44% | 0.45% |
Private | 0.38% | 0.34% | 0.33% |
Uninsured | 0.69% | 0.69% | 0.58% |
However, because the majority of child hospitalizations are for newborns, the overall burden of mortality was greatest for newborns in all years studied. In 2002, 68.6% of pediatric inpatient deaths were newborns, 8.2% were non‐newborn infants, 7.7% were 15 years old, 4.2% were 610 years old, and 11.3% were 1117 years old. These findings were similarly distributed across age groups in 1992 and 1997 as well (data not shown).
Inpatient mortality rates also differed significantly by payer in all study years (Table 2). In each year, uninsured children had the highest mortality rates followed by children with Medicaid coverage and children with private health plans. Given the proportions of discharges with coverage by Medicaid versus private plans and the differences in mortality rates, the overall burden of mortality was greatest for children with private coverage in 1992 and 1997, and was equivalent to that of Medicaid (11,292 versus 11,330, respectively) in 2002.
Table 3 presents inpatient mortality rate by age and transfer status. Patients who were admitted on transfer from another acute care hospital had a significantly greater mortality rate for all age groups, compared with patients admitted not on transfer, within the same age group. The strong association of mortality with transfer status remained in multivariable regression analyses, adjusted for age and payer status (data not shown).
Mortality Rate (% of Discharges) | |||
---|---|---|---|
Age Group and Transfer Status | 1992 (95% CI) | 1997 (95% CI) | 2002 (95% CI) |
Newborn | |||
Admitted as transfer | 4.57 (3.56, 5.59) | 4.22 (3.44, 5.00) | 4.75 (3.80, 5.93) |
Admitted not on transfer | 0.45 (0.40, 0.51) | 0.37 (0.33, 0.40) | 0.36 (0.32, 0.40) |
0‐<1 year | |||
Admitted as transfer | 5.05 (3.83, 6.28) | 4.38 (3.59, 5.17) | 2.86 (2.32, 3.53) |
Admitted not on transfer | 0.43 (0.34, 0.50) | 0.35 (0.28, 0.43) | 0.30 (0.23, 0.40) |
1‐5 years | |||
Admitted as transfer | 2.26 (1.61, 2.19) | 1.59 (1.20, 1.98) | 1.33 (0.97, 1.83) |
Admitted not on transfer | 0.33 (0.25, 0.40) | 0.27 (0.22, 0.33) | 0.27 (0.22, 0.33) |
6‐10 years | |||
Admitted as transfer | 2.01 (1.23, 2.96) | 1.48 (0.92, 2.03) | 1.11 (0.83, 1.49) |
Admitted not on transfer | 0.32 (0.26, 0.39) | 0.28 (0.22, 0.34) | 0.29 (0.24, 0.36) |
11‐17 years | |||
Admitted as transfer | 1.87 (1.42, 2.33) | 1.09 (0.81, 1.38) | 1.33 (1.02, 1.73) |
Admitted not on transfer | 0.30 (0.25, 0.35) | 0.30 (0.25, 0.34) | 0.32 (0.27, 0.37) |
DRGs were evaluated based on transfer status, mortality, and study year. The most common DRGs for survivors were generally consistent across years and transfer status: neonate, bronchitis and asthma, pneumonia, esophagitis/gastroenteritis, nutritional and metabolic disturbances, and vaginal delivery. Among decedents, the primary diagnoses also included neonate, but in contrast with survivors were more likely to include traumatic injury, cardiothoracic surgery/medical care (ie, for congenital cardiac/valve disease), respiratory diagnosis with ventilatory support, and craniotomy. DRGs for decedents were consistent across years and transfer status (data available upon request to the authors).
DRGs were also evaluated based by payer status across all 3 study years (data not shown). The most common DRGs showed no meaningful differences in the types of conditions for children who were transferred versus not, across all payer types (including uninsured children).
Length of Stay and Hospital Charges, by Survival, Payer, and Transfer Status
Table 4 illustrates the national patterns of mean length of stay by age, survival, and transfer status. Data for 2002 are shown; the other study years had very similar findings and are available from the authors.
Admitted on Transfer (95% CI) | Admitted Not on Transfer (95% CI) | |||
---|---|---|---|---|
Alive | Died | Alive | Died | |
Age | ||||
Newborn | 16.9 (14.7‐19.0) | 19.6 (15.1‐24.0) | 3.2 (3.0‐3.3) | 8.3 (6.9‐9.7) |
0‐<1year | 11.3 (9.1‐13.0) | 24.8 (18.8‐30.8) | 3.5 (3.2‐3.8) | 20.1 (12.8‐27.5) |
1‐5 years | 4.8 (4.2‐5.6) | 16.0 (8.5‐23.4) | 3.0 (3.4‐4.0) | 12.7 (7.2‐18.2) |
6‐10 years | 6.4 (4.7‐8.2) | 12.9 (4.9‐20.8) | 3.7 (3.4‐4.0) | 13.8 (9.7‐17.8) |
11‐17 years | 8.0 (6.0‐10.0) | 8.8 (5.8‐11.7) | 4.0 (3.7‐4.3) | 10.2 (6.4‐14.0) |
Payer | ||||
Medicaid | 11.4 (9.7‐13.1) | 21.8 (16.2‐27.4) | 3.5 (3.4‐3.7) | 11.2 (9.2‐13.3) |
Private | 9.7 (8.6‐10.7) | 17.1 (13.5‐20.7) | 3.1 (3.0‐3.2) | 9.3 (7.4‐11.1) |
Uninsured | 7.0 (4.8‐9.2) | 5.3 (1.1‐9.5) | 2.8 (2.6‐3.1) | 3.1 (1.2‐5.0) |
Length of stay differed significantly by transfer and survival status, and also varied significantly by insurance coverage. In 2002, among children who were admitted not on transfer, those who died had significantly longer mean length stay than those who survived. Among children admitted as a transfer, for all but non‐newborn infants and those 15 years of age, length of stay did not differ significantly by survival status.
For children covered by Medicaid and private insurance, decedents had significantly longer length of stay compared to survivors, regardless of transfer status. However, this was not the case for uninsured children, for whom those who died and those who survived had statistically indistinguishable lengths of stay, within the transfer/non‐ transfer groups. Findings for 1997 and 1992 were similar (data not shown).
Mean hospital charges are presented in Table 5. For children covered by Medicaid and private insurance, among patients who were admitted not on transfer, those who died had more than 8‐fold greater charges than those who survived. A similar trend was seen for patients admitted on transfer who were covered by Medicaid and private insurance, with more than 3‐fold greater charges for those who died versus those who survived. In contrast, for uninsured children, those who were admitted not on transfer and died had only 3.5‐fold greater charges compared to survivors, and those who were admitted on transfer and died had only 2‐fold greater charges compared to survivors.
Admitted on Transfer (95% CI) | Admitted Not on Transfer (95% CI) | |||
---|---|---|---|---|
Alive | Died | Alive | Died | |
Payer | ||||
Medicaid | 43,123 (34,570‐51,675) | 141,280 (104,881‐177,679) | 8,456 (7,3489‐9,564) | 73,798 (59,71‐87,884) |
Private | 41,037 (33,420‐48,653) | 142,739 (110,122‐175,355) | 7,519 (6,597‐8,441) | 62,195 (50,722‐73,667) |
Uninsured | 21,228 (15,389‐27,068) | 48,036 (28,974‐67,099) | 5,591 (4,372‐6,810) | 19,910 (13,342‐26,479) |
DISCUSSION
Children's Inpatient Mortality
This is the first study of which we are aware that examines EOL hospitalization patterns for children in a national sample, spanning a decade. Our data revealed that the pediatric inpatient mortality rate is consistently highest among children in the non‐newborn infant age group over this time period, and that the burden of mortality is persistently greatest among newborns. These age‐specific findings are consistent with vital statistics published separately for each of the study years regarding overall childhood mortality.1820
This study highlights what many health care providers may not recognize: to meet the needs of the greatest numbers of families with gravely ill children, EOL care efforts must focus on the very youngest. Many of these children may not have chronic conditions, which have been a central focus of many pediatric EOL efforts to date. In fact, the parents of most gravely ill children in the hospital may have had just a few days or hours to prepare to face the loss of their children.
In addition, children admitted on interhospital transfer are significantly more likely to die while hospitalized. This pattern likely represents referral of severely ill children to medical centers that offer tertiary and quaternary specialty care, rather than risks associated with the transfer event itself. Some parents and their children may be far away from home and their closest networks of social support.7 Overall, these findings strongly indicate that EOL efforts will meet the needs of greater proportions of parents if they actively incorporate considerations of age and transfer status as institutions reach out to families in need of support.
Of note, this analysis does not capture children who were discharged into hospice, or long‐term care facilities, or who may have been discharged to home and may have died thereafter. Discharge disposition is known to vary by age, with older children with chronic conditions being more likely to use hospice services compared with infants.8 A recent study suggests that deaths outside the hospital have become increasingly common for older children over time, with the expansion of EOL supportive services in communities to meet the needs of families with gravely ill children.8
Length of Stay, Hospital Charges, and Mortality Related to Insurance Status
In this study, insured children who were admitted and died had significantly longer hospital stays compared to uninsured children who were admitted and died. DRG diagnoses by payer were very similar among children who died, although it is possible that differences in length of stay by payer status may reflect differences in severity of illness at admission and/or processes of care during hospitalization, which could not be fully accounted for using diagnostic codes. Hospitalizations that ended in death were significantly more expensive than hospitalizations in which children survived to discharge, regardless of age, payer status, or transfer status. However, incremental differences in spending for those who died versus those who survived were much greater for children with health insurance than for children without, suggesting greater resource utilization for children with coverage. Resource utilization is reflected largely in length of stay, which explains why our findings for differences in length of stay were echoed so strongly in our findings regarding differences in hospital charges.
Several studies of EOL care for adults have indicated that uninsured patients sustained higher inpatient mortality and lower hospital resource use versus insured adults, across similar diagnoses.13, 2123 Among children, Braveman and colleagues found differences in hospital resource allocation among sick newborns according to insurance coverage that are echoed in the findings of our study.24 Sick newborns without insurance received fewer inpatient services, with statistically significant shorter length of stay and total charges compared to insured newborns. In our study, disparities related to insurance coverage were consistent over the decade considered, and likely indicate ongoing challenges of broad disparities in access to care for children related to insurance coverage in the US health care system. Perhaps the greatest disparity was in mortality itself, which was highest among the uninsured, although the gap in mortality rates by insurance status appeared narrower in 2002 than in the prior study years.
Mortality Rates by Transfer Status
Mortality rates stratified by transfer status revealed that children transferred between hospitals had a significantly higher mortality rate, compared to children admitted not on transfer. Literature evaluating adult intensive care units found that transferred patients have more comorbid conditions, greater severity of illness, and 1.4‐fold to 2.5‐fold higher hospital mortality rates compared to direct admissions.25 Similar challenges face pediatric patients who are transferred to intensive care settings, where children at higher clinical risk have a higher morality rate and utilize greater resources compared with less critically ill children.14 Hospital EOL support personnel must be cognizant of the high mortality rate for transferred patients, and services may need to be adjusted to address the needs of these families. Additionally, further research is needed to better understand and remedy these potential disparities in care for children based on insurance status.
Limitations
This study is potentially limited by the accuracy of hospital discharge data, which may have influenced our outcomes. Further, not all states participate in the NIS; 11 states participated in 1992, 22 states participated in 1997, and 35 states participated in 2002. Although NIS data are weighted to be nationally representative in each year, it is possible that the participating states may have differed in systematic ways from nonparticipating states. However, the external validity of our data with regard to patterns of mortality by age and diagnoses, and the stability of patterns across a span of several years, suggest strongly that our findings are likely robust to these potential biases in this dataset.
As with any hospital resource use data, we are mindful that the distribution of data regarding length of stay and charges are typically right‐skewed, and therefore mean values should be interpreted with caution. In using mean values to test our hypotheses, we have followed the standard method of comparison for nationally weighted data.16
CONCLUSION
This national study of inpatient mortality patterns among US children over the span of a decade presents a new framework of challenges to clinicians and investigators regarding EOL care for children. As health care providers and institutions expand their efforts to meet the needs of severely ill children and their families, such efforts must be cognizant of the high burden of mortality among the youngest children, as well as those who are transferred between hospitals, and children without insurance coverage. These children and their families may require expanded EOL care and support services, beyond those typically available in most hospitals and communities.
APPENDIX
DIAGNOSIS‐RELATED GROUPS BY TRANSFER AND SURVIVAL STATUS
1992 | % | 1997 | % | 2002 | % |
---|---|---|---|---|---|
| |||||
Transferred ‐ Survived | |||||
Neonate* | 26.2 | Neonate* | 23.2 | Neonate* | 24.6 |
Bronchitis and Asthma | 6.4 | Bronchitis and Asthma | 7.4 | Bronchitis and Asthma | 8.0 |
Seizure and Headache | 3.7 | Simple Pneumonia | 3.3 | Seizure and Headache | 4.2 |
Simple Pneumonia | 3.4 | Seizure and Headache | 3.2 | Simple Pneumonia | 3.7 |
Esophagitis and Gastroenteritis | 3.0 | Psychoses | 3.2 | Esophagitis and Gastroenteritis | 3.0 |
Transferred ‐ Died | |||||
Neonate | 35.1 | Neonate | 38.2 | Neonate | 40.5 |
Cardiac Disease and/or Cardiothoracic surgery | 9.6 | Cardiac Disease and/or Cardiothoracic surgery | 12.2 | Cardiac Disease and/or Cardiothoracic surgery | 10.9 |
Respiratory diagnosis with ventilatory support | 6.8 | Respiratory diagnosis with ventilatory support | 7.7 | Respiratory diagnosis with ventilatory support | 7.0 |
Craniotomy | 3.5 | Septicemia | 2.8 | Injury, Poisoning | 2.4 |
Injury, Poisoning | 3.3 | Tracheostomy with ventilatory support | 2.8 | Craniotomy | 2.2 |
Not Transferred ‐ Survived | |||||
Neonate* | 60.6 | Neonate* | 63 | Neonate* | 66.4 |
Bronchitis and Asthma | 4.9 | Bronchitis and Asthma | 5.3 | Bronchitis and Asthma | 4.7 |
Esophagitis and Gastroenteritis | 3.1 | Simple Pneumonia | 2.9 | Simple Pneumonia | 2.5 |
Simple Pneumonia | 2.7 | Esophagitis and Gastroenteritis | 2.6 | Esophagitis and Gastroenteritis | 2.0 |
Vaginal Delivery | 2.2 | Vaginal Delivery | 2.3 | Nutritional and Metabolic Disorder | 1.8 |
Not Transferred ‐ Died | |||||
Neonate | 61.5 | Neonate | 66.2 | Neonate | 69.0 |
Traumatic Coma or Operative Procedure for Traumatic Injury | 3.3 | Traumatic Coma or Operative Procedure for Traumatic Injury | 4.8 | Traumatic Coma or Operative Procedure for Traumatic Injury | 4.7 |
Cardiac Disease and/or Cardiothoracic surgery | 2.9 | Cardiac Disease and/or Cardiothoracic surgery | 2.7 | Respiratory diagnosis with ventilatory support | 2.7 |
Craniotomy | 2.3 | Respiratory diagnosis with ventilatory support | 2.5 | Craniotomy | 2.4 |
Respiratory diagnosis with ventilatory support | 2.0 | Septicemia | 1.4 | Septicemia | 1.2 |
- Annual summary of vital statistics: 2005.Pediatrics.2007;119(2):345–360. , , , , , .
- Circumstances surrounding the deaths of hospitalized children: opportunities for pediatric palliative care.Pediatrics.2004;114(3):e361–e366. , , , , , .
- Characteristics of deaths occurring in children's hospitals: implications for supportive care services.Pediatrics.2002;109(5):887–893. , , , , , .
- Declining severity adjusted mortality: evidence of improving neonatal intensive care.Pediatrics.1998;102(4):893–899. , , , , , .
- Use of intensive care at the end of life in the United States: an epidemiologic study.Crit Care Med.2004;32(3):638–643. , , , et al.
- Cancer‐related deaths in children and adolescents.J Palliat Med.2005;8(1):86–95. , , , , .
- Where do children with complex chronic conditions die? Patterns in Washington State, 1980‐1998.Pediatrics.2002;109(4):656–660. , , .
- Deaths attributed to pediatric complex chronic conditions: national trends and implications for supportive care services.Pediatrics.2001;107(6):e99. , , , , , .
- Medical end‐of‐life decisions for children in the Netherlands.Arch Pediatr Adolescent Med.005;159(9):802–809. , , , et al.
- Medicare beneficiaries' costs of care in the last year of life.Health Affairs.2001;20(4):188–195. , , , .
- Medicare Beneficiaries' Costs and Use of Care in the Last Year of Life.Washington, DC:MedPAC;2000. , , , , .
- Trends in Medicare payments in the last year of life.N Engl J Med.1993;328(15):1092–1096. , .
- Comparing uninsured and privately insured hospital patients: admission severity, health outcomes and resource use.Health Serv Manage Res.2001;14(3):203–210. , , .
- Characteristics and outcomes of interhospital transfers from level II to level I pediatric intensive care units.Pediatr Crit Care Med.2006;7(6):536–540. , , , et al.
- Agency for Healthcare Research and Quality. National Inpatient Sample (NIS). Healthcare Cost and Utilization Project (HCUP). http://www.hcup‐us.ahrq.gov/nisoverview.jsp. Accessed August 26,2008.
- Agency for Healthcare Research and Quality, . Healthcare Cost and Utilization Project H CUP. Care of Children and Adolescents in U.S. Hospitals. HCUP Fact Book No. 4, Publication No. 04‐0004. http://www.ahrq.gov/data/hcup/factbk4/. Accessed August 26,2008.
- U.S. Department of Labor, Bureau of Labor Statistics. Consumer Price Index.ftp://ftp.bls.gov/pub/special.requests/cpi/cpiai.txt. Accessed August 26,2008.
- Annual summary of vital statistics‐‐2002.Pediatrics.2003;112(6):1215–1230. , , , .
- Annual summary of vital statistics‐‐1996.Pediatrics.1997;100(6):905–918. , , , , .
- Annual summary of vital statistics‐‐1992.Pediatrics.1993;92(6):743–754. .
- Acutely injured patients with trauma in Massachusetts: differences in care and mortality, by insurance status.Am J Publ Health.1994;84(10):1605–1608. , .
- Comparison of uninsured and privately insured hospital patients. Condition on admission, resource use, and outcome.JAMA.1991;265(3):374–379. , , .
- Inequities in hospital care, the Massachusetts experience.Inquiry.1991;28(3):255–262. , .
- Differences in hospital resource allocation among sick newborns according to insurance coverage.JAMA.1991;266(23):3300–3308. , , , .
- Accepting critically ill transfer patients: adverse effect on a referral center's outcome and benchmark measures. [summary for patients in Ann Intern Med. 2003;138(11):I42; PMID: 12779311].Ann Intern Med.2003;138(11):882–890. , , , , .
- Annual summary of vital statistics: 2005.Pediatrics.2007;119(2):345–360. , , , , , .
- Circumstances surrounding the deaths of hospitalized children: opportunities for pediatric palliative care.Pediatrics.2004;114(3):e361–e366. , , , , , .
- Characteristics of deaths occurring in children's hospitals: implications for supportive care services.Pediatrics.2002;109(5):887–893. , , , , , .
- Declining severity adjusted mortality: evidence of improving neonatal intensive care.Pediatrics.1998;102(4):893–899. , , , , , .
- Use of intensive care at the end of life in the United States: an epidemiologic study.Crit Care Med.2004;32(3):638–643. , , , et al.
- Cancer‐related deaths in children and adolescents.J Palliat Med.2005;8(1):86–95. , , , , .
- Where do children with complex chronic conditions die? Patterns in Washington State, 1980‐1998.Pediatrics.2002;109(4):656–660. , , .
- Deaths attributed to pediatric complex chronic conditions: national trends and implications for supportive care services.Pediatrics.2001;107(6):e99. , , , , , .
- Medical end‐of‐life decisions for children in the Netherlands.Arch Pediatr Adolescent Med.005;159(9):802–809. , , , et al.
- Medicare beneficiaries' costs of care in the last year of life.Health Affairs.2001;20(4):188–195. , , , .
- Medicare Beneficiaries' Costs and Use of Care in the Last Year of Life.Washington, DC:MedPAC;2000. , , , , .
- Trends in Medicare payments in the last year of life.N Engl J Med.1993;328(15):1092–1096. , .
- Comparing uninsured and privately insured hospital patients: admission severity, health outcomes and resource use.Health Serv Manage Res.2001;14(3):203–210. , , .
- Characteristics and outcomes of interhospital transfers from level II to level I pediatric intensive care units.Pediatr Crit Care Med.2006;7(6):536–540. , , , et al.
- Agency for Healthcare Research and Quality. National Inpatient Sample (NIS). Healthcare Cost and Utilization Project (HCUP). http://www.hcup‐us.ahrq.gov/nisoverview.jsp. Accessed August 26,2008.
- Agency for Healthcare Research and Quality, . Healthcare Cost and Utilization Project H CUP. Care of Children and Adolescents in U.S. Hospitals. HCUP Fact Book No. 4, Publication No. 04‐0004. http://www.ahrq.gov/data/hcup/factbk4/. Accessed August 26,2008.
- U.S. Department of Labor, Bureau of Labor Statistics. Consumer Price Index.ftp://ftp.bls.gov/pub/special.requests/cpi/cpiai.txt. Accessed August 26,2008.
- Annual summary of vital statistics‐‐2002.Pediatrics.2003;112(6):1215–1230. , , , .
- Annual summary of vital statistics‐‐1996.Pediatrics.1997;100(6):905–918. , , , , .
- Annual summary of vital statistics‐‐1992.Pediatrics.1993;92(6):743–754. .
- Acutely injured patients with trauma in Massachusetts: differences in care and mortality, by insurance status.Am J Publ Health.1994;84(10):1605–1608. , .
- Comparison of uninsured and privately insured hospital patients. Condition on admission, resource use, and outcome.JAMA.1991;265(3):374–379. , , .
- Inequities in hospital care, the Massachusetts experience.Inquiry.1991;28(3):255–262. , .
- Differences in hospital resource allocation among sick newborns according to insurance coverage.JAMA.1991;266(23):3300–3308. , , , .
- Accepting critically ill transfer patients: adverse effect on a referral center's outcome and benchmark measures. [summary for patients in Ann Intern Med. 2003;138(11):I42; PMID: 12779311].Ann Intern Med.2003;138(11):882–890. , , , , .
Copyright © 2008 Society of Hospital Medicine
Surgical Comanagement
With the rapid advance of medicine to its present‐day status in which it evokes the aid of all the natural sciences, an individual is no more able to undertake the more intricate problems alone, without the aid and cooperation of colleagues having special training in each of the various clinical and laboratory branches, than he would be today to make an automobile alone.1
It is ironic that our specialty of hospital‐based medicine grew out of the soil of managed care and a renewed emphasis on generalism.2 Historical precedence clearly confirms the virtue of specialization and multidisciplinary care. Taken in this context, hospitalists have been comanagers from the very start, working with primary care physicians. The unprecedented growth of hospitalists in the United States has been accelerated by forces that pulled generalists out of the hospital and off the hospital wardsnamely the expensive inefficiency of trying to be in 2 places at 1 time. Faced with an expanding scope of practice and increasing outpatient volumes coupled with declining reimbursements, primary care physicians (PCPs) recognized the need to share their patients with inpatient comanagers.
Today, the surgeon is faced with many of the same pressures experienced by PCPs. Surgical productivity, efficiency, and quality are highly valued, yet require the surgeon to be in 2 places at 1 time. In the past, many surgeons in teaching hospitals relied on surgical residents to manage uncomplicated presurgical and postsurgical care and collaborated with internists for more difficult problems. Now, surgical residents are limited by work‐hour restrictions imposed by the Accreditation Council for Graduate Medical Education,3 reducing their ability to respond to patients outside the operating room. Perhaps more importantly, surgical patients today continue to increase in age and complexity, with a projected 50% rise in surgery‐related costs and a 100% rise in surgical complications in the next 2 decades.4 An experienced comanager of surgical patients that does not rely on PCPs or the surgical education system makes great practical and economic sense, and is a natural evolution of the hospitalist concept and skill set. Hospital medicine core competencies highlight perioperative medicine as a body of knowledge and practice germane to hospitalists. In fact, it specifically states that hospitalists should strive to engage in efforts to improve the efficiency and quality of care through innovative models, which may include comanagement of surgical patients in the perioperative period.5
CONSULTATION VERSUS COMANAGEMENT
Historically, in academic settings surgeons and medical practitioners have collaborated via the framework of consultation. If a surgeon needed assistance with uncontrolled diabetes or blood pressure, he or she called the internist to make recommendations on appropriate treatment. If the internist was faced with a potential surgical issue, he or she consulted the surgeon for their evaluation and opinion. In today's chaotic hospital environment, this collaborative framework has obvious inefficiencies. By definition, the consultation involves a formal request, which demands seamless communication that often does not exist. Next, the consultant reviews the chart, evaluates the patient, reviews pertinent clinical data, and provides an assessment with recommendations for management and care. How and whether these recommendations are enacted may be explicitly defined by the requesting service, but often it is not, and a delay in execution of recommendations potentially ensues. An observational cohort study showed that patients receiving medical consultation were no more likely to have tight glycemic control, perioperative beta‐blockers administration, or venous thromboembolism (VTE) prophylaxis; however, patients receiving consultation had a longer length of stay and higher costs of care.6 Comanagement represents a patient care referral, not consultation. A comanager is requested at the outset, but subsequently plays a much more active role, which may involve daily or twice daily visits, writing progress notes and orders, assessing and managing acute issues, and facilitating discharge planning and care transitions. Despite the ability to facilitate care, the basis for comanagement should be the same as for specialty consultation.
In contrast to academic settings, comanagement by PCPs and medical subspecialists occurs routinely in community hospitals. This model works best for patients with few problems who are followed closely by a single comanager, typically the PCP. However, complex patients with multiple comorbidities may decompensate without an attentive and experienced PCP, or wind up with numerous subspecialists making recommendations and writing orders in a disorganized fashion. The extreme of this situation is an unsystematic and inefficient management by committee, where medical specialists pick and choose an area of comanagement, without clear boundaries between the various team members. This approach is fraught with pitfalls in communication and may lead to conflicting recommendations or false assumptions among team members, further increasing patient morbidity.
In both academic and community settings, comanagement by a hospitalist offers advantages of consistent availability and proactive perioperative expertise, both in diagnosing and treating relevant problems and in recognizing the need for subspecialty involvement, thus improving efficiency of care. Although some health care systems may consider automatic patient care referrals to hospitalists for all surgical patients, this approach should be discouraged unless the patient population demands specialty involvement. Best practice would identify comorbid surgical patients during the outpatient preoperative process and then hardwire the patient care referral to the hospitalist upon surgical admission.
COMANAGEMENT MAKES SENSE
The multidisciplinary nature of comanagement can streamline individual patient care from the moment the decision for surgery is made. Preoperative assessment and management by the hospitalist can uncover risks from known conditions requiring optimization; identify new, undiagnosed conditions affecting the perioperative period; and initiate prophylactic and therapeutic regimens that reduce the chances for postoperative complications. Specific examples may include beta‐blockers in higher risk patients, anticoagulation management, and VTE prophylaxis.
The comanaging hospitalist ensures that these strategies are implemented, tailors them to the individual patient, and diagnoses and treats complications promptly when they occur. In addition, hospitalist comanagers can be more involved to facilitate patient transitions to posthospital care venues; this might involve communication with patients, families, case managers, and PCPs, among others. Ultimately, the investment of the comanaging hospitalist in the surgical patient is much greater in both scope and time. This may be expected to improve patient care efficiency, reduce length of stay, and may decrease overall complications. In addition, this investment is often recognized by the other important members of the care team, including nursing, case management, and patients and families, thus improving both patient and nursing satisfaction ratings.
AVAILABLE DATA ON THE BENEFITS OF COMANAGEMENT
Early studies on comanagement focused on orthopedic surgery and geriatric collaboration. Zuckerman et al.7 studied the effects of an interdisciplinary team approach to the hip fracture patient, entitled the Geriatric Hip Fracture Program (GHFP), in the mid‐1980s. They compared 431 patients admitted under the care of the GHFP for surgical repair of hip fracture between 1985 and 1988 with 60 historical controls at the same institution prior to the inception of the program. GHFP patients were evaluated by an orthopedic surgeon and a consulting internist or geriatrician. In addition to therapy service evaluations, each patient was screened by an ophthalmologist for visual impairment, a psychiatrist for preexisting cognitive dysfunction and depression, a social worker, and a case manager. GHFP patients had fewer postoperative complications, fewer intensive care unit transfers for acute medical issues, better ambulatory status and distance ambulated at discharge, and nonsignificant trends toward decreased length of stay and increased likelihood of return to home. A more recent prospective observational study of patients with hip fracture in Australia8 compared a 4‐year period of geriatric comanagement of 447 patients with hip fracture with 3 years of historical control patients (n = 504) prior to the institution of the comanagement service. Postoperative medical complications, mortality, and 6‐month readmission rates were significantly lower in the geriatric comanagement cohort. No differences in median length of hospital stay or in discharge destination were noted. The proportion of patients receiving anti‐osteoporotic therapy (calcium, vitamin D, and bisphosphonates) increased from 12% to 93% after the institution of comanagement. Also, the proportion of patients prescribed pharmacologic VTE prophylaxis increased from 63% to 94%, and symptomatic VTE events (deep vein thrombosis or PE) decreased from 4.6% to 1.3% after implementation. In another geriatrician comanagement study, Marcantonio et al.9 performed a randomized trial in patients with hip fracture comparing geriatric comanagement with a structured treatment care protocol to usual care. Although length of stay was unchanged and costs of care were not reported, geriatric comanagement significantly reduced the number and severity of episodes of delirium.
Macpherson et al.10 studied the effect of internist comanagement of 165 cardiothoracic surgery patients in the Minneaoplis Veteran's Affairs Medical Center in 1990. They found that, compared with the prior year, the implementation of internist comanagement was associated with hospital stays of 6 days shorter length, lower use of resources such as lab and radiology, and a trend toward decreased mortality. Huddleston et al.11 conducted a randomized controlled trial of 526 patients undergoing elective total hip or knee arthroplasty, comparing a comanagement hospitalist‐orthopedic team with standard orthopedic surgery care and internal medicine consultation as needed. Despite comparison to the standard of tightly managed care protocols in elective hip and knee arthroplasty, patients comanaged by hospitalists were more likely to be discharged without postoperative complications, and were ready for discharge half a day sooner when adjusting for skilled facility bed availability. No difference in mortality rates or total cost of care was noted between the 2 models. However, nurses and surgeons both strongly preferred the comanagement model, with providers reporting that care was prompt and coordinated, and there was an enhanced ease of providing care. In a second study, the authors from the same institution12 studied 466 patients over 65 years of age admitted for surgical repair of hip fracture. Patients in the comanagement group went to surgery faster, were discharged sooner after surgery, and had an overall lower length of stay. No differences were noted in inpatient mortality, 30‐day readmission rates, or complication rates. Delirium was diagnosed more often in the comanagement group, but a diagnosis of delirium was associated with an earlier discharge after surgery. This may reflect greater attention to the presence of delirium, better documentation, and more prompt treatment.
Preoperative testing centers staffed by anesthesiologists have been shown to positively impact surgical care.1315 However, there has been little study to specifically evaluate the role of medical comanagement in the preoperative setting. Jaffer et al.16 demonstrated a reduction in postoperative pulmonary complications in a mixed surgical population by utilizing a structured preoperative assessment and management program of hospitalists.
COMANAGEMENT SATISFACTION
Surgical comanagement has been reported to improve surgeon and nurse satisfaction ratings.11 Salerno et al.,17 in their study of consultation preferences of surgeons, internists and family physicians, confirmed that surgeons, especially orthopedic surgeons, favor the comanagement model more than the traditional consultation model. This is not surprising as surgeons in the comanagement model may be expected to spend more time in the operating room as opposed to the hospital floors, thus improving patient access to timely surgery and reducing cancellations and delays. Ultimately, the comanagement model may result in a competitive advantage over traditional care. Improved patient access and throughput may improve patient satisfaction with their surgical experience, which could lead to increased surgical referrals, both patient and PCP initiated. Satisfaction and positive learning experiences of surgical residents with this system of care may improve the likelihood of them joining such a practice, which will then foster the cultural evolution of comanagement. In addition, because of the increased scrutiny and potential financial ties (ie, pay for performance) to quality and safety issues, a comanagement model involving hospitalists is ideally poised to systematically account for these issues. Finally, because of nurse staffing shortages, care processes that promote workplace satisfaction and respect may promote nurse recruitment and retention, thus improving the competitive advantage even further.
CONCLUSION
Surgical comanagement has many distinct advantages for all parties involved, including the surgeon, hospitalist, house staff, nurses, case manager, patient and family, and the health care system overall. As hospitalists have been comanaging medical inpatients with primary care physicians for years, the concept of surgical comanagement is truly a natural evolution of the scope of hospitalist practice.
- “..To Act as a Unit”: The Story of the Cleveland Clinic.Cleveland, OH:Cleveland Clinic Press;1996:17. .
- Inpatient medicine and the evolution of the hospitalist.Clev Clin J Med.1998;68(11):192–200. , , .
- New requirements for resident duty hours.JAMA.2002;288(9):1112–1114. , , .
- Why perioperative medicine matters more than ever.Clev Clin J Med.2006:73( ); suppl 1 2006:S1. , .
- Perioperative Medicine. In: The core competencies in hospital hedicine: a framework for curriculum development.J Hosp Med (Online).2006;1(Suppl 1):30–1. , , , , .
- Opportunity missed: medical consultation, resource use, and quality of care of patients undergoing major surgery.Arch Intern Med.2007;167(21):2338–2344. , , , , , .
- Hip fractures in geriatric patients. Results of an interdisciplinary hospital care program.Clin Orthopaed Relat Res.1992;274:213–225. , , , .
- Outcomes for older patients with hip fractures: the impact of orthopedic and geriatric medicine cocare.J Orthopaed Trauma.2006;20(3):172–178; discussion 9–80. , , , , , .
- Reducing delirium after hip fracture: a randomized trial.J Am Geriatr Soc.2001;49(5):516–522. , , , .
- An internist joins the surgery service: does comanagement make a difference?J Gen Intern Med.1994;9(8):440–444. , , , , .
- Medical and surgical comanagement after elective hip and knee arthroplasty: a randomized, controlled trial.Ann Intern Med.2004;141(1):28–38. , , , et al.
- Effects of a hospitalist model on elderly patients with hip fracture.Arch Intern Med.2005;165(7):796–801. , , , et al.
- Value of Preoperative clinic visits in identifying issues with potential impact on operating room efficiency.Anesthesiology.2006;105(6):1254–1259; discussion 6A. , , , , , .
- Preoperative clinic visits reduce operating room cancellations and delays.Anesthesiology.2005;103(4):855–859. , , , , .
- Development and effectiveness of an anesthesia preoperative evaluation clinic in a teaching hospital.Anesthesiology.1996;85(1):196–206. .
- Postoperative pulmonary complications: experience with an outpatient pre‐operative assessment program.J Clin Outcomes Manage.2005;12(10):505–510. , , , et al.
- Principles of effective consultation: an update for the 21st‐century consultant.Arch Intern Med.2007;167(3):271–275. , , , .
With the rapid advance of medicine to its present‐day status in which it evokes the aid of all the natural sciences, an individual is no more able to undertake the more intricate problems alone, without the aid and cooperation of colleagues having special training in each of the various clinical and laboratory branches, than he would be today to make an automobile alone.1
It is ironic that our specialty of hospital‐based medicine grew out of the soil of managed care and a renewed emphasis on generalism.2 Historical precedence clearly confirms the virtue of specialization and multidisciplinary care. Taken in this context, hospitalists have been comanagers from the very start, working with primary care physicians. The unprecedented growth of hospitalists in the United States has been accelerated by forces that pulled generalists out of the hospital and off the hospital wardsnamely the expensive inefficiency of trying to be in 2 places at 1 time. Faced with an expanding scope of practice and increasing outpatient volumes coupled with declining reimbursements, primary care physicians (PCPs) recognized the need to share their patients with inpatient comanagers.
Today, the surgeon is faced with many of the same pressures experienced by PCPs. Surgical productivity, efficiency, and quality are highly valued, yet require the surgeon to be in 2 places at 1 time. In the past, many surgeons in teaching hospitals relied on surgical residents to manage uncomplicated presurgical and postsurgical care and collaborated with internists for more difficult problems. Now, surgical residents are limited by work‐hour restrictions imposed by the Accreditation Council for Graduate Medical Education,3 reducing their ability to respond to patients outside the operating room. Perhaps more importantly, surgical patients today continue to increase in age and complexity, with a projected 50% rise in surgery‐related costs and a 100% rise in surgical complications in the next 2 decades.4 An experienced comanager of surgical patients that does not rely on PCPs or the surgical education system makes great practical and economic sense, and is a natural evolution of the hospitalist concept and skill set. Hospital medicine core competencies highlight perioperative medicine as a body of knowledge and practice germane to hospitalists. In fact, it specifically states that hospitalists should strive to engage in efforts to improve the efficiency and quality of care through innovative models, which may include comanagement of surgical patients in the perioperative period.5
CONSULTATION VERSUS COMANAGEMENT
Historically, in academic settings surgeons and medical practitioners have collaborated via the framework of consultation. If a surgeon needed assistance with uncontrolled diabetes or blood pressure, he or she called the internist to make recommendations on appropriate treatment. If the internist was faced with a potential surgical issue, he or she consulted the surgeon for their evaluation and opinion. In today's chaotic hospital environment, this collaborative framework has obvious inefficiencies. By definition, the consultation involves a formal request, which demands seamless communication that often does not exist. Next, the consultant reviews the chart, evaluates the patient, reviews pertinent clinical data, and provides an assessment with recommendations for management and care. How and whether these recommendations are enacted may be explicitly defined by the requesting service, but often it is not, and a delay in execution of recommendations potentially ensues. An observational cohort study showed that patients receiving medical consultation were no more likely to have tight glycemic control, perioperative beta‐blockers administration, or venous thromboembolism (VTE) prophylaxis; however, patients receiving consultation had a longer length of stay and higher costs of care.6 Comanagement represents a patient care referral, not consultation. A comanager is requested at the outset, but subsequently plays a much more active role, which may involve daily or twice daily visits, writing progress notes and orders, assessing and managing acute issues, and facilitating discharge planning and care transitions. Despite the ability to facilitate care, the basis for comanagement should be the same as for specialty consultation.
In contrast to academic settings, comanagement by PCPs and medical subspecialists occurs routinely in community hospitals. This model works best for patients with few problems who are followed closely by a single comanager, typically the PCP. However, complex patients with multiple comorbidities may decompensate without an attentive and experienced PCP, or wind up with numerous subspecialists making recommendations and writing orders in a disorganized fashion. The extreme of this situation is an unsystematic and inefficient management by committee, where medical specialists pick and choose an area of comanagement, without clear boundaries between the various team members. This approach is fraught with pitfalls in communication and may lead to conflicting recommendations or false assumptions among team members, further increasing patient morbidity.
In both academic and community settings, comanagement by a hospitalist offers advantages of consistent availability and proactive perioperative expertise, both in diagnosing and treating relevant problems and in recognizing the need for subspecialty involvement, thus improving efficiency of care. Although some health care systems may consider automatic patient care referrals to hospitalists for all surgical patients, this approach should be discouraged unless the patient population demands specialty involvement. Best practice would identify comorbid surgical patients during the outpatient preoperative process and then hardwire the patient care referral to the hospitalist upon surgical admission.
COMANAGEMENT MAKES SENSE
The multidisciplinary nature of comanagement can streamline individual patient care from the moment the decision for surgery is made. Preoperative assessment and management by the hospitalist can uncover risks from known conditions requiring optimization; identify new, undiagnosed conditions affecting the perioperative period; and initiate prophylactic and therapeutic regimens that reduce the chances for postoperative complications. Specific examples may include beta‐blockers in higher risk patients, anticoagulation management, and VTE prophylaxis.
The comanaging hospitalist ensures that these strategies are implemented, tailors them to the individual patient, and diagnoses and treats complications promptly when they occur. In addition, hospitalist comanagers can be more involved to facilitate patient transitions to posthospital care venues; this might involve communication with patients, families, case managers, and PCPs, among others. Ultimately, the investment of the comanaging hospitalist in the surgical patient is much greater in both scope and time. This may be expected to improve patient care efficiency, reduce length of stay, and may decrease overall complications. In addition, this investment is often recognized by the other important members of the care team, including nursing, case management, and patients and families, thus improving both patient and nursing satisfaction ratings.
AVAILABLE DATA ON THE BENEFITS OF COMANAGEMENT
Early studies on comanagement focused on orthopedic surgery and geriatric collaboration. Zuckerman et al.7 studied the effects of an interdisciplinary team approach to the hip fracture patient, entitled the Geriatric Hip Fracture Program (GHFP), in the mid‐1980s. They compared 431 patients admitted under the care of the GHFP for surgical repair of hip fracture between 1985 and 1988 with 60 historical controls at the same institution prior to the inception of the program. GHFP patients were evaluated by an orthopedic surgeon and a consulting internist or geriatrician. In addition to therapy service evaluations, each patient was screened by an ophthalmologist for visual impairment, a psychiatrist for preexisting cognitive dysfunction and depression, a social worker, and a case manager. GHFP patients had fewer postoperative complications, fewer intensive care unit transfers for acute medical issues, better ambulatory status and distance ambulated at discharge, and nonsignificant trends toward decreased length of stay and increased likelihood of return to home. A more recent prospective observational study of patients with hip fracture in Australia8 compared a 4‐year period of geriatric comanagement of 447 patients with hip fracture with 3 years of historical control patients (n = 504) prior to the institution of the comanagement service. Postoperative medical complications, mortality, and 6‐month readmission rates were significantly lower in the geriatric comanagement cohort. No differences in median length of hospital stay or in discharge destination were noted. The proportion of patients receiving anti‐osteoporotic therapy (calcium, vitamin D, and bisphosphonates) increased from 12% to 93% after the institution of comanagement. Also, the proportion of patients prescribed pharmacologic VTE prophylaxis increased from 63% to 94%, and symptomatic VTE events (deep vein thrombosis or PE) decreased from 4.6% to 1.3% after implementation. In another geriatrician comanagement study, Marcantonio et al.9 performed a randomized trial in patients with hip fracture comparing geriatric comanagement with a structured treatment care protocol to usual care. Although length of stay was unchanged and costs of care were not reported, geriatric comanagement significantly reduced the number and severity of episodes of delirium.
Macpherson et al.10 studied the effect of internist comanagement of 165 cardiothoracic surgery patients in the Minneaoplis Veteran's Affairs Medical Center in 1990. They found that, compared with the prior year, the implementation of internist comanagement was associated with hospital stays of 6 days shorter length, lower use of resources such as lab and radiology, and a trend toward decreased mortality. Huddleston et al.11 conducted a randomized controlled trial of 526 patients undergoing elective total hip or knee arthroplasty, comparing a comanagement hospitalist‐orthopedic team with standard orthopedic surgery care and internal medicine consultation as needed. Despite comparison to the standard of tightly managed care protocols in elective hip and knee arthroplasty, patients comanaged by hospitalists were more likely to be discharged without postoperative complications, and were ready for discharge half a day sooner when adjusting for skilled facility bed availability. No difference in mortality rates or total cost of care was noted between the 2 models. However, nurses and surgeons both strongly preferred the comanagement model, with providers reporting that care was prompt and coordinated, and there was an enhanced ease of providing care. In a second study, the authors from the same institution12 studied 466 patients over 65 years of age admitted for surgical repair of hip fracture. Patients in the comanagement group went to surgery faster, were discharged sooner after surgery, and had an overall lower length of stay. No differences were noted in inpatient mortality, 30‐day readmission rates, or complication rates. Delirium was diagnosed more often in the comanagement group, but a diagnosis of delirium was associated with an earlier discharge after surgery. This may reflect greater attention to the presence of delirium, better documentation, and more prompt treatment.
Preoperative testing centers staffed by anesthesiologists have been shown to positively impact surgical care.1315 However, there has been little study to specifically evaluate the role of medical comanagement in the preoperative setting. Jaffer et al.16 demonstrated a reduction in postoperative pulmonary complications in a mixed surgical population by utilizing a structured preoperative assessment and management program of hospitalists.
COMANAGEMENT SATISFACTION
Surgical comanagement has been reported to improve surgeon and nurse satisfaction ratings.11 Salerno et al.,17 in their study of consultation preferences of surgeons, internists and family physicians, confirmed that surgeons, especially orthopedic surgeons, favor the comanagement model more than the traditional consultation model. This is not surprising as surgeons in the comanagement model may be expected to spend more time in the operating room as opposed to the hospital floors, thus improving patient access to timely surgery and reducing cancellations and delays. Ultimately, the comanagement model may result in a competitive advantage over traditional care. Improved patient access and throughput may improve patient satisfaction with their surgical experience, which could lead to increased surgical referrals, both patient and PCP initiated. Satisfaction and positive learning experiences of surgical residents with this system of care may improve the likelihood of them joining such a practice, which will then foster the cultural evolution of comanagement. In addition, because of the increased scrutiny and potential financial ties (ie, pay for performance) to quality and safety issues, a comanagement model involving hospitalists is ideally poised to systematically account for these issues. Finally, because of nurse staffing shortages, care processes that promote workplace satisfaction and respect may promote nurse recruitment and retention, thus improving the competitive advantage even further.
CONCLUSION
Surgical comanagement has many distinct advantages for all parties involved, including the surgeon, hospitalist, house staff, nurses, case manager, patient and family, and the health care system overall. As hospitalists have been comanaging medical inpatients with primary care physicians for years, the concept of surgical comanagement is truly a natural evolution of the scope of hospitalist practice.
With the rapid advance of medicine to its present‐day status in which it evokes the aid of all the natural sciences, an individual is no more able to undertake the more intricate problems alone, without the aid and cooperation of colleagues having special training in each of the various clinical and laboratory branches, than he would be today to make an automobile alone.1
It is ironic that our specialty of hospital‐based medicine grew out of the soil of managed care and a renewed emphasis on generalism.2 Historical precedence clearly confirms the virtue of specialization and multidisciplinary care. Taken in this context, hospitalists have been comanagers from the very start, working with primary care physicians. The unprecedented growth of hospitalists in the United States has been accelerated by forces that pulled generalists out of the hospital and off the hospital wardsnamely the expensive inefficiency of trying to be in 2 places at 1 time. Faced with an expanding scope of practice and increasing outpatient volumes coupled with declining reimbursements, primary care physicians (PCPs) recognized the need to share their patients with inpatient comanagers.
Today, the surgeon is faced with many of the same pressures experienced by PCPs. Surgical productivity, efficiency, and quality are highly valued, yet require the surgeon to be in 2 places at 1 time. In the past, many surgeons in teaching hospitals relied on surgical residents to manage uncomplicated presurgical and postsurgical care and collaborated with internists for more difficult problems. Now, surgical residents are limited by work‐hour restrictions imposed by the Accreditation Council for Graduate Medical Education,3 reducing their ability to respond to patients outside the operating room. Perhaps more importantly, surgical patients today continue to increase in age and complexity, with a projected 50% rise in surgery‐related costs and a 100% rise in surgical complications in the next 2 decades.4 An experienced comanager of surgical patients that does not rely on PCPs or the surgical education system makes great practical and economic sense, and is a natural evolution of the hospitalist concept and skill set. Hospital medicine core competencies highlight perioperative medicine as a body of knowledge and practice germane to hospitalists. In fact, it specifically states that hospitalists should strive to engage in efforts to improve the efficiency and quality of care through innovative models, which may include comanagement of surgical patients in the perioperative period.5
CONSULTATION VERSUS COMANAGEMENT
Historically, in academic settings surgeons and medical practitioners have collaborated via the framework of consultation. If a surgeon needed assistance with uncontrolled diabetes or blood pressure, he or she called the internist to make recommendations on appropriate treatment. If the internist was faced with a potential surgical issue, he or she consulted the surgeon for their evaluation and opinion. In today's chaotic hospital environment, this collaborative framework has obvious inefficiencies. By definition, the consultation involves a formal request, which demands seamless communication that often does not exist. Next, the consultant reviews the chart, evaluates the patient, reviews pertinent clinical data, and provides an assessment with recommendations for management and care. How and whether these recommendations are enacted may be explicitly defined by the requesting service, but often it is not, and a delay in execution of recommendations potentially ensues. An observational cohort study showed that patients receiving medical consultation were no more likely to have tight glycemic control, perioperative beta‐blockers administration, or venous thromboembolism (VTE) prophylaxis; however, patients receiving consultation had a longer length of stay and higher costs of care.6 Comanagement represents a patient care referral, not consultation. A comanager is requested at the outset, but subsequently plays a much more active role, which may involve daily or twice daily visits, writing progress notes and orders, assessing and managing acute issues, and facilitating discharge planning and care transitions. Despite the ability to facilitate care, the basis for comanagement should be the same as for specialty consultation.
In contrast to academic settings, comanagement by PCPs and medical subspecialists occurs routinely in community hospitals. This model works best for patients with few problems who are followed closely by a single comanager, typically the PCP. However, complex patients with multiple comorbidities may decompensate without an attentive and experienced PCP, or wind up with numerous subspecialists making recommendations and writing orders in a disorganized fashion. The extreme of this situation is an unsystematic and inefficient management by committee, where medical specialists pick and choose an area of comanagement, without clear boundaries between the various team members. This approach is fraught with pitfalls in communication and may lead to conflicting recommendations or false assumptions among team members, further increasing patient morbidity.
In both academic and community settings, comanagement by a hospitalist offers advantages of consistent availability and proactive perioperative expertise, both in diagnosing and treating relevant problems and in recognizing the need for subspecialty involvement, thus improving efficiency of care. Although some health care systems may consider automatic patient care referrals to hospitalists for all surgical patients, this approach should be discouraged unless the patient population demands specialty involvement. Best practice would identify comorbid surgical patients during the outpatient preoperative process and then hardwire the patient care referral to the hospitalist upon surgical admission.
COMANAGEMENT MAKES SENSE
The multidisciplinary nature of comanagement can streamline individual patient care from the moment the decision for surgery is made. Preoperative assessment and management by the hospitalist can uncover risks from known conditions requiring optimization; identify new, undiagnosed conditions affecting the perioperative period; and initiate prophylactic and therapeutic regimens that reduce the chances for postoperative complications. Specific examples may include beta‐blockers in higher risk patients, anticoagulation management, and VTE prophylaxis.
The comanaging hospitalist ensures that these strategies are implemented, tailors them to the individual patient, and diagnoses and treats complications promptly when they occur. In addition, hospitalist comanagers can be more involved to facilitate patient transitions to posthospital care venues; this might involve communication with patients, families, case managers, and PCPs, among others. Ultimately, the investment of the comanaging hospitalist in the surgical patient is much greater in both scope and time. This may be expected to improve patient care efficiency, reduce length of stay, and may decrease overall complications. In addition, this investment is often recognized by the other important members of the care team, including nursing, case management, and patients and families, thus improving both patient and nursing satisfaction ratings.
AVAILABLE DATA ON THE BENEFITS OF COMANAGEMENT
Early studies on comanagement focused on orthopedic surgery and geriatric collaboration. Zuckerman et al.7 studied the effects of an interdisciplinary team approach to the hip fracture patient, entitled the Geriatric Hip Fracture Program (GHFP), in the mid‐1980s. They compared 431 patients admitted under the care of the GHFP for surgical repair of hip fracture between 1985 and 1988 with 60 historical controls at the same institution prior to the inception of the program. GHFP patients were evaluated by an orthopedic surgeon and a consulting internist or geriatrician. In addition to therapy service evaluations, each patient was screened by an ophthalmologist for visual impairment, a psychiatrist for preexisting cognitive dysfunction and depression, a social worker, and a case manager. GHFP patients had fewer postoperative complications, fewer intensive care unit transfers for acute medical issues, better ambulatory status and distance ambulated at discharge, and nonsignificant trends toward decreased length of stay and increased likelihood of return to home. A more recent prospective observational study of patients with hip fracture in Australia8 compared a 4‐year period of geriatric comanagement of 447 patients with hip fracture with 3 years of historical control patients (n = 504) prior to the institution of the comanagement service. Postoperative medical complications, mortality, and 6‐month readmission rates were significantly lower in the geriatric comanagement cohort. No differences in median length of hospital stay or in discharge destination were noted. The proportion of patients receiving anti‐osteoporotic therapy (calcium, vitamin D, and bisphosphonates) increased from 12% to 93% after the institution of comanagement. Also, the proportion of patients prescribed pharmacologic VTE prophylaxis increased from 63% to 94%, and symptomatic VTE events (deep vein thrombosis or PE) decreased from 4.6% to 1.3% after implementation. In another geriatrician comanagement study, Marcantonio et al.9 performed a randomized trial in patients with hip fracture comparing geriatric comanagement with a structured treatment care protocol to usual care. Although length of stay was unchanged and costs of care were not reported, geriatric comanagement significantly reduced the number and severity of episodes of delirium.
Macpherson et al.10 studied the effect of internist comanagement of 165 cardiothoracic surgery patients in the Minneaoplis Veteran's Affairs Medical Center in 1990. They found that, compared with the prior year, the implementation of internist comanagement was associated with hospital stays of 6 days shorter length, lower use of resources such as lab and radiology, and a trend toward decreased mortality. Huddleston et al.11 conducted a randomized controlled trial of 526 patients undergoing elective total hip or knee arthroplasty, comparing a comanagement hospitalist‐orthopedic team with standard orthopedic surgery care and internal medicine consultation as needed. Despite comparison to the standard of tightly managed care protocols in elective hip and knee arthroplasty, patients comanaged by hospitalists were more likely to be discharged without postoperative complications, and were ready for discharge half a day sooner when adjusting for skilled facility bed availability. No difference in mortality rates or total cost of care was noted between the 2 models. However, nurses and surgeons both strongly preferred the comanagement model, with providers reporting that care was prompt and coordinated, and there was an enhanced ease of providing care. In a second study, the authors from the same institution12 studied 466 patients over 65 years of age admitted for surgical repair of hip fracture. Patients in the comanagement group went to surgery faster, were discharged sooner after surgery, and had an overall lower length of stay. No differences were noted in inpatient mortality, 30‐day readmission rates, or complication rates. Delirium was diagnosed more often in the comanagement group, but a diagnosis of delirium was associated with an earlier discharge after surgery. This may reflect greater attention to the presence of delirium, better documentation, and more prompt treatment.
Preoperative testing centers staffed by anesthesiologists have been shown to positively impact surgical care.1315 However, there has been little study to specifically evaluate the role of medical comanagement in the preoperative setting. Jaffer et al.16 demonstrated a reduction in postoperative pulmonary complications in a mixed surgical population by utilizing a structured preoperative assessment and management program of hospitalists.
COMANAGEMENT SATISFACTION
Surgical comanagement has been reported to improve surgeon and nurse satisfaction ratings.11 Salerno et al.,17 in their study of consultation preferences of surgeons, internists and family physicians, confirmed that surgeons, especially orthopedic surgeons, favor the comanagement model more than the traditional consultation model. This is not surprising as surgeons in the comanagement model may be expected to spend more time in the operating room as opposed to the hospital floors, thus improving patient access to timely surgery and reducing cancellations and delays. Ultimately, the comanagement model may result in a competitive advantage over traditional care. Improved patient access and throughput may improve patient satisfaction with their surgical experience, which could lead to increased surgical referrals, both patient and PCP initiated. Satisfaction and positive learning experiences of surgical residents with this system of care may improve the likelihood of them joining such a practice, which will then foster the cultural evolution of comanagement. In addition, because of the increased scrutiny and potential financial ties (ie, pay for performance) to quality and safety issues, a comanagement model involving hospitalists is ideally poised to systematically account for these issues. Finally, because of nurse staffing shortages, care processes that promote workplace satisfaction and respect may promote nurse recruitment and retention, thus improving the competitive advantage even further.
CONCLUSION
Surgical comanagement has many distinct advantages for all parties involved, including the surgeon, hospitalist, house staff, nurses, case manager, patient and family, and the health care system overall. As hospitalists have been comanaging medical inpatients with primary care physicians for years, the concept of surgical comanagement is truly a natural evolution of the scope of hospitalist practice.
- “..To Act as a Unit”: The Story of the Cleveland Clinic.Cleveland, OH:Cleveland Clinic Press;1996:17. .
- Inpatient medicine and the evolution of the hospitalist.Clev Clin J Med.1998;68(11):192–200. , , .
- New requirements for resident duty hours.JAMA.2002;288(9):1112–1114. , , .
- Why perioperative medicine matters more than ever.Clev Clin J Med.2006:73( ); suppl 1 2006:S1. , .
- Perioperative Medicine. In: The core competencies in hospital hedicine: a framework for curriculum development.J Hosp Med (Online).2006;1(Suppl 1):30–1. , , , , .
- Opportunity missed: medical consultation, resource use, and quality of care of patients undergoing major surgery.Arch Intern Med.2007;167(21):2338–2344. , , , , , .
- Hip fractures in geriatric patients. Results of an interdisciplinary hospital care program.Clin Orthopaed Relat Res.1992;274:213–225. , , , .
- Outcomes for older patients with hip fractures: the impact of orthopedic and geriatric medicine cocare.J Orthopaed Trauma.2006;20(3):172–178; discussion 9–80. , , , , , .
- Reducing delirium after hip fracture: a randomized trial.J Am Geriatr Soc.2001;49(5):516–522. , , , .
- An internist joins the surgery service: does comanagement make a difference?J Gen Intern Med.1994;9(8):440–444. , , , , .
- Medical and surgical comanagement after elective hip and knee arthroplasty: a randomized, controlled trial.Ann Intern Med.2004;141(1):28–38. , , , et al.
- Effects of a hospitalist model on elderly patients with hip fracture.Arch Intern Med.2005;165(7):796–801. , , , et al.
- Value of Preoperative clinic visits in identifying issues with potential impact on operating room efficiency.Anesthesiology.2006;105(6):1254–1259; discussion 6A. , , , , , .
- Preoperative clinic visits reduce operating room cancellations and delays.Anesthesiology.2005;103(4):855–859. , , , , .
- Development and effectiveness of an anesthesia preoperative evaluation clinic in a teaching hospital.Anesthesiology.1996;85(1):196–206. .
- Postoperative pulmonary complications: experience with an outpatient pre‐operative assessment program.J Clin Outcomes Manage.2005;12(10):505–510. , , , et al.
- Principles of effective consultation: an update for the 21st‐century consultant.Arch Intern Med.2007;167(3):271–275. , , , .
- “..To Act as a Unit”: The Story of the Cleveland Clinic.Cleveland, OH:Cleveland Clinic Press;1996:17. .
- Inpatient medicine and the evolution of the hospitalist.Clev Clin J Med.1998;68(11):192–200. , , .
- New requirements for resident duty hours.JAMA.2002;288(9):1112–1114. , , .
- Why perioperative medicine matters more than ever.Clev Clin J Med.2006:73( ); suppl 1 2006:S1. , .
- Perioperative Medicine. In: The core competencies in hospital hedicine: a framework for curriculum development.J Hosp Med (Online).2006;1(Suppl 1):30–1. , , , , .
- Opportunity missed: medical consultation, resource use, and quality of care of patients undergoing major surgery.Arch Intern Med.2007;167(21):2338–2344. , , , , , .
- Hip fractures in geriatric patients. Results of an interdisciplinary hospital care program.Clin Orthopaed Relat Res.1992;274:213–225. , , , .
- Outcomes for older patients with hip fractures: the impact of orthopedic and geriatric medicine cocare.J Orthopaed Trauma.2006;20(3):172–178; discussion 9–80. , , , , , .
- Reducing delirium after hip fracture: a randomized trial.J Am Geriatr Soc.2001;49(5):516–522. , , , .
- An internist joins the surgery service: does comanagement make a difference?J Gen Intern Med.1994;9(8):440–444. , , , , .
- Medical and surgical comanagement after elective hip and knee arthroplasty: a randomized, controlled trial.Ann Intern Med.2004;141(1):28–38. , , , et al.
- Effects of a hospitalist model on elderly patients with hip fracture.Arch Intern Med.2005;165(7):796–801. , , , et al.
- Value of Preoperative clinic visits in identifying issues with potential impact on operating room efficiency.Anesthesiology.2006;105(6):1254–1259; discussion 6A. , , , , , .
- Preoperative clinic visits reduce operating room cancellations and delays.Anesthesiology.2005;103(4):855–859. , , , , .
- Development and effectiveness of an anesthesia preoperative evaluation clinic in a teaching hospital.Anesthesiology.1996;85(1):196–206. .
- Postoperative pulmonary complications: experience with an outpatient pre‐operative assessment program.J Clin Outcomes Manage.2005;12(10):505–510. , , , et al.
- Principles of effective consultation: an update for the 21st‐century consultant.Arch Intern Med.2007;167(3):271–275. , , , .
Algorithms for Diagnosing and Treating VAP
Ventilator‐associated pneumonia (VAP) is a serious and common complication for patients in the intensive care unit (ICU).1 VAP is defined as a pulmonary infection occurring after hospital admission in a mechanically‐ventilated patient with a tracheostomy or endotracheal tube.2, 3 With an attributable mortality that may exceed 20% and an estimated cost of $5000‐$20,000 per episode,49 the management of VAP is an important issue for both patient safety and cost of care.
The diagnosis of VAP is a controversial topic in critical care, primarily because of the difficulty distinguishing between airway colonization, upper respiratory tract infection (eg, tracheobronchitis), and early‐onset pneumonia. Some clinicians insist that an invasive sampling technique (eg, bronchoalveolar lavage) with quantitative cultures is essential for determining the presence of VAP.10 However, other clinicians suggest that a noninvasive approach using qualitative cultures (eg, tracheal suctioning) is an acceptable alternative.11 Regardless, nearly all experts agree that a specimen for microbiologic culture should be obtained prior to initiating antibiotics. Subsequent therapy should then be adjusted according to culture results.
Studies from both Europe and North America have demonstrated considerable variation in the diagnostic approaches used for patients with suspected VAP.12, 13 This variation is likely a result of several factors including controversy about the best diagnostic approach, variation in clinician knowledge and experience, and variation in ICU management protocols. Such practice variability is common for many ICU behaviors.1416 Quality‐of‐care proponents view this variation as an important opportunity for improvement.17
During a recent national collaborative aimed at reducing health careassociated infections in the ICU, we discovered many participants were uncertain about how to diagnose and manage VAP, and considerable practice variability existed among participating hospitals. This uncertainty provided an important opportunity for developing consensus on VAP management. On the basis of diagnostic criteria outlined by the Centers for Disease Control and Prevention (CDC), we developed algorithms as tools for diagnosing VAP in 4 ICU populations: infant, pediatric, immunocompromised, and adult ICU patients. We also developed an algorithm for initial VAP treatment. An interdisciplinary team of experts reviewed the current literature and developed these evidence‐based consensus guidelines. Our intent is that the algorithms provide guidance to clinicians looking for a standardized approach to the diagnosis and management of this complicated clinical situation.
METHODS
Our primary goal was to develop practical algorithms that assist ICU clinicians in the diagnosis and management of VAP during daily practice. To improve the quality and credibility of these algorithms, the development process used a stepwise approach that included assembling an interdisciplinary team of experts, appraising the published evidence, and formulating the algorithms through a consensus process.18
AHRQ National Collaborative
We developed these diagnostic algorithms as part of a national collaborative effort aimed at reducing VAP and central venous catheterrelated bloodstream infections in the ICU. This effort was possible through a 2‐year Partnerships in Implementing Patient Safety grant funded by the Agency for Healthcare Research and Quality (AHRQ).19 The voluntary collaborative was conducted in 61 medical/surgical and children's hospitals across the Hospital Corporation of America (HCA), a company that owns and/or operates 173 hospitals and 107 freestanding surgery centers in 20 states, England, and Switzerland. HCA is one of the largest providers of health care in the United States. All participating hospitals had at least 1 ICU, and a total of 110 ICUs were included in the project. Most hospitals were in the southern or southeastern regions of the United States.
Interdisciplinary Team
We assembled an interdisciplinary team to develop the diagnostic algorithms. Individuals on the team represented the specialties of infectious diseases, infection control, anesthesia, critical care medicine, hospital medicine, critical care nursing, pharmacy, and biostatistics. The development phase occurred over 34 months and used an iterative process that consisted of both group conference calls and in‐person meetings.
Our goal was not to conduct a systematic review but rather to develop practical algorithms for collaborative participants in a timely manner. Our literature search strategy included MEDLINE and the Cochrane Library. We focused on articles that addressed key diagnostic issues, proposed an algorithm, or summarized a topic relevant to practicing clinicians. Extra attention was given to articles that were randomized trials, meta‐analyses, or systematic reviews. No explicit grading of articles was performed. We examined studies with outcomes of interest to clinicians, including mortality, number of ventilator days, length of stay, antibiotic utilization, and antibiotic resistance.
We screened potentially relevant articles and the references of these articles. The search results were reviewed by all members of the team, and an iterative consensus process was used to derive the current algorithms. Preliminary versions of the algorithms were shown to other AHRQ investigators and outside experts in the field, and additional modifications were made based on their feedback. The final algorithms were approved by all study investigators.
RESULTS
Literature Overview
Overall, there is an enormous body of published literature on diagnosing and managing VAP. The Medline database has listed more than 500 articles on VAP diagnosis in the past decade. Nonetheless, the best diagnostic approach remains unclear. The gold standard for diagnosing VAP is lung biopsy with histopathologic examination and tissue culture. However, this procedure is fraught with potential dangers and impractical for most critically ill patients.20 Therefore, practitioners traditionally combine their clinical suspicion (based on fever, leukocytosis, character of sputum, and radiographic changes), epidemiologic data (eg, patient demographics, medical history, and ICU infection surveillance data), and microbiologic data.
Several issues relevant to practicing clinicians deserve further mention.
Definition of VAP
Although early articles used variable criteria for diagnosing VAP, recent studies have traditionally defined VAP as an infection occurring more than 48 hours after hospital admission in a mechanically ventilated patient with a tracheostomy or endotracheal tube.2 In early 2007, the CDC revised their definition for diagnosing VAP.3 These latest criteria state there is no minimum period that the ventilator must be in place in order to diagnose VAP. This important change must be kept in mind when examining future studies.
The term VAP is more specific than the term health careassociated pneumonia. The latter encompasses patients residing in a nursing home or long‐term care facility; hospitalized in an acute care hospital for more than 48 hours in the past 90 days; receiving antibiotics, chemotherapy, or wound care within the past 30 days; or attending a hospital or hemodialysis clinic.
The CDC published detailed criteria for diagnosing VAP in its member hospitals (Tables 1 and 2).3 Because diagnosing VAP in infants, children, elderly, and immunocompromised patients is often confusing because of other conditions with similar signs and symptoms, the CDC published alternate criteria for these populations. A key objective during development of our algorithms was to consolidate and simplify these diagnostic criteria for ICU clinicians.
Radiology | Signs/symptoms/laboratory |
---|---|
| |
Two or more serial chest radiographs with at least 1 of the following*: | CRITERIA FOR ANY PATIENT |
New or progressive and persistent infiltrate | At least 1 of the following: |
Consolidation | Fever (>38C or >100.4F) with no other recognized cause |
Cavitation | Leukopenia (<4000 WBC/mm3) or leukocytosis (12,000 WBC/mm3) |
Pneumatoceles, in infants 1 year old | For adults 70 years old, altered mental status with no other recognized causeand |
Note: In patients without underlying pulmonary or cardiac disease (eg, respiratory distress syndrome, bronchopulmonary dysplasia, pulmonary edema, or chronic obstructive pulmonary disease), 1 definitive chest radiograph is acceptable.* | |
At least 2 of the following: | |
New onset of purulent sputum, or change in character of sputum, or increased respiratory secretions, or increased suctioning requirements | |
New‐onset or worsening cough or dyspnea or tachypnea‖ | |
Rales or bronchial breath sounds | |
Worsening gas exchange (eg, O2 desaturation [eg, PaO2/FiO2 240],** increased oxygen requirement, or increased ventilation demand) | |
Any laboratory criterion from Table 2 |
|
ALTERNATE CRITERIA FOR INFANTS 1 YEAR OLD | |
Worsening gas exchange (eg, O2 desaturation, increased ventilation demand or O2 requirement) | |
and | |
At least 3 of the following: | |
Temperature instability with no other recognized cause | |
Leukopenia (<4000 WBC/mm3) or leukocytosis (15,000 WBC/mm3) and left shift (10% bands) | |
New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
Apnea, tachypnea,‖ nasal flaring with retraction of chest wall, or grunting | |
Wheezing, rales, or rhonchi | |
Cough | |
Bradycadia (<100 beats/min) or tachycardia (>170 beats/min) | |
ALTERNATE CRITERIA FOR CHILD >1 OR 12 YEARS OLD | |
At least 3 of the following: | |
Fever (>38.4C or >101.1F) or hypothermia (<36.5C or <97.7F) with no other recognized cause | |
Leukopenia (<4000 WBC/mm3) or leukocytosis (15,000 WBC/mm3) | |
New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
New‐onset or worsening cough or dyspnea, apnea, or tachypnea‖ | |
Rales or bronchial breath sounds | |
Worsening gas exchange (eg, O2 desaturation <94%, increased ventilation demand or O2 requirement) | |
Any laboratory criterion from Table 2 |
|
ALTERNATE CRITERIA FOR IMMUNOCOMPROMISED PATIENTS*** | |
At least 1 of the following: | |
Fever (>38.4C or >101.1F) with no other recognized cause | |
For adults > 70 years old, altered mental status with no other recognized cause | |
New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
New‐onset or worsening cough, dyspnea, or tachypnea‖ | |
Rales or bronchial breath sounds | |
Worsening gas exchange (eg, O2 desaturation [eg, PaO2/FiO2 240],** increased oxygen requirement, or increased ventilation demand) | |
Hemoptysis | |
Pleuritic chest pain | |
Matching positive blood and sputum cultures with Candida spp. | |
Evidence of fungi or Pneumocytis from minimally contaminated LRT specimen (eg, BAL or protected specimen brushing) from 1 of the following: | |
Direct microscopic exam | |
Positive culture of fungi | |
Any laboratory criterion from Table 2 |
|
Positive growth in blood culture* not related to another source of infection |
Positive growth in culture of pleural fluid |
Positive quantitative culture from minimally contaminated LRT specimen (eg, BAL) |
5% BAL‐obtained cells contain intracellular bacteria on direct microscopic exam (eg, gram stain) |
Histopathologic exam shows at least 1 of the following: |
Abscess formation or foci of consolidation with intense PMN accumulation in bronchioles and alveoli |
Positive quantitative culture of lung parenchyma |
Evidence of lung parenchyma invasion by fungal hyphae or pseudohyphae |
Positive culture of virus or Chlamydia from respiratory secretions |
Positive detection of viral antigen or antibody from respiratory secretions (eg, EIA, FAMA, shell vial assay, PCR) |
Fourfold rise in paired sera (IgG) for pathogen (eg, influenza viruses, Chlamydia) |
Positive PCR for Chlamydia or Mycoplasma |
Positive micro‐IF test for Chlamydia |
Positive culture or visualization by micro‐IF of Legionella spp. from respiratory secretions or tissue |
Detection of Legionella pneumophila serogroup 1 antigens in urine by RIA or EIA |
Fourfold rise in L. pneumophila serogroup 1 antibody titer to 1:128 in paired acute and convalescent sera by indirect IFA |
Etiology
The most commonly isolated VAP pathogens in all patients are bacteria.21 Most of these organisms normally colonize the respiratory and gastrointestinal tracts, but some are unique to health care settings. Tracheal intubation disrupts the body's natural anatomic and physiologic defenses and facilitates easier entry of these pathogens. Typical organisms include Staphylococcus aureus, Pseudomonas aeruginosa, Enterobacter species, Klebsiella pneumoniae, Acinetobacter species, Escherichia coli, and Haemophilus influenzae.22, 23 Unfortunately, the prevalence of antimicrobial resistance among VAP pathogens is increasing.24 Risk factors for antibiotic resistance are common to ICU patients and include recent antibiotics, hemodialysis, nursing home residence, immunosuppression, and chronic wound care.5 Polymicrobial infections are frequently seen in VAP, with up to 50% of all VAP episodes caused by more than 1 organism.25
Viral VAP is rare in immunocompetent hosts, and seasonal outbreaks of influenza and other similar viruses are usually limited to nonventilated patients.26 However, influenza is underrecognized as a potential nosocomial pathogen, and numerous nosocomial outbreaks because of influenza have been reported.2731 Although herpes simplex virus is often detected in the respiratory tract of critically ill patients, its clinical importance remains unclear.32
Fungal VAP is also rare in immunocompetent hosts. On the other hand, pulmonary fungal infections are common in immunocompromised patients, especially following chemotherapy and transplantation. Candida species are often isolated from the airways of normal hosts, but most cases traditionally have been considered clinically unimportant because these organisms are normal oropharyngeal flora and rarely invade lung tissue.33, 34 It is unclear whether recent studies suggesting Candida colonization is associated with a higher risk for Pseudomonas VAP will change this conventional wisdom.3537
Immunocompromised patients with suspected VAP are unique because they are at risk not only for typical bacteria (which are the most common causes of VAP) but also for rarer opportunistic infections and noninfectious processes that mimic pneumonia.3840 While assessing these patients, clinicians must consider the status of the underlying disease, duration and type of immunosuppression, prophylactic regimens, and risk factors for noninfectious causes of pulmonary infiltrates.41 Common opportunistic infections include viruses, mycobacteria, fungi, and Pneumocystis. Noninfectious processes include pulmonary edema, drug toxicity, radiation pneumonitis, engraftment syndrome, bronchiolitis obliterans organizing pneumonia, alveolar proteinosis, transfusion‐related lung injury, alveolar hemorrhage, and progression of underlying disease. In general, diagnosing VAP in the immunocompromised patient requires a prompt, comprehensive, and multidisciplinary approach.38
In preterm and term infants, the most common VAP pathogens are gram‐negative organisms such as E. coli and P. aeruginosa. Other less common pathogens are Enterobacter, Klebsiella, Acinetobacter, Proteus, Citrobacter, and Stenotrophomonas maltophilia.42, 43 Infants with a preceding bloodstream infection or prolonged intubation are more likely to develop VAP.43, 44 Unfortunately, gram‐negative bacteria often colonize the airways of mechanically ventilated infants, and tracheal aspirate culture data are difficult to interpret in this population.42
Children are more likely to develop VAP if they are intubated for more than 48 hours. The most common pathogens isolated from tracheal aspirates in mechanically ventilated children are enteric gram‐negative bacteria, P. aeruginosa, and S. aureus.45, 46 Few studies have precisely delineated the pathogenesis of VAP in the pediatric ICU population.
Overall, the causes of VAP vary by hospital, patient population, and ICU type. Therefore, it is essential that ICU clinicians remain knowledgeable about their local surveillance data.21 Awareness of VAP microbiology is essential for optimizing initial antibiotic therapy and improving outcomes.
Early Versus Late VAP
Distinguishing between early and late VAP is important for initial antibiotic selection because the etiologic pathogens vary between these 2 periods.4749 Early VAP (days 14 of hospitalization) usually involves antibiotic‐sensitive community‐acquired bacteria and carries a better prognosis. In contrast, late VAP (5 days after hospital admission) is more likely to be caused by antibiotic‐resistant nosocomial bacteria that lead to increased morbidity and mortality. All patients who have been hospitalized or have received antibiotics during the prior 90 days should be treated as having late VAP because they are at much higher risk for colonization and infection with antibiotic‐resistant bacteria.47 Of note, 2 recent studies suggest that pathogens in the early and late periods are becoming similar at some institutions.50, 51 Overall, the distinction between early and late VAP is important because it affects the likelihood that a patient has antibiotic‐resistant bacteria. If antibiotic‐resistant pathogens are suspected, initial therapy should include empiric triple antibiotics until culture data are available.
Culturing Approaches
Because clinical criteria alone are rarely able to accurately diagnose VAP,52, 53 clinicians should also obtain a respiratory specimen for microbiologic culture. Despite the convenience of blood cultures, their sensitivity for diagnosing VAP is poor, and they rarely make the diagnosis alone.54 Two methods are available for culturing the lungsan invasive approach (eg, bronchoscopy with bronchoalveolar lavage) and a noninvasive approach (eg, tracheal aspirate).
Some investigators believe that adult patients with suspected VAP should always undergo an invasive sampling of lower‐respiratory‐tract secretions.55 Proponents of the invasive approach cite the frequency with which potential pathogens colonize the trachea of ICU patients and create spurious results on tracheal aspirates.22 In addition, several studies have shown that clinicians are more likely to narrow the spectrum of antibiotics after obtaining an invasive diagnostic sample.56 In other words, the invasive approach has been associated with better antimicrobial stewardship.
Other investigators believe that a noninvasive approach is equally safe and effective for diagnosing VAP.57 This clinical approach involves culturing a tracheal aspirate and using a pneumonia prediction score such as the clinical pulmonary infection score (CPIS; Table 3). The CPIS assigns 012 points based on 6 clinical criteria: fever, leukocyte count, oxygenation, quantity and purulence of secretions, type of radiographic abnormality, and results of sputum gram stain and culture.58 As developed, a CPIS > 6 has a sensitivity of 93% and a specificity of 100% for diagnosing VAP.58 However, the CPIS requires that nurses record sputum volume and that the laboratory stains the specimen. When the CPIS has been modified based on the unavailability of such resources, the results have been less impressive.5961 Despite studies showing that a noninvasive clinical approach can achieve adequate initial antibiotic coverage and reduce overuse of broad‐spectrum agents,62, 63 clinicians who use the CPIS must understand its inherent limitations.
Criterion | Range | Score |
---|---|---|
| ||
Temperature (C) | 36.138.4 | 0 |
38.538.9 | 1 | |
39 or 36 | 2 | |
Blood leukocytes (/mm3) | 4000 and 11,000 | 0 |
<4000 or >11,000 | 1 | |
+ band forms 500 | 2 | |
Oxygenation: PaO2/FiO2 (mmHg) | >240 or ARDS | 0 |
240 and no evidence of ARDS | 2 | |
Chest radiograph | No infiltrate | 0 |
Diffuse (or patchy) infiltrate | 1 | |
Localized infiltrate | 2 | |
Tracheal secretions | Absence of tracheal secretions | 0 |
Nonpurulent tracheal secretions | 1 | |
Purulent tracheal secretions | 2 | |
Culture of tracheal aspirate | Pathogenic bacteria culture: no growth or light growth | 0 |
Pathogenic bacteria culture: moderate/heavy growth | 1 | |
Same pathogenic bacteria seen on gram stain (add 1 point) | 2 |
A meta‐analysis56 comparing the utility of an invasive versus a noninvasive culturing approach identified 4 randomized trials examining this issue.6669 Overall, an invasive approach did not alter mortality, but patients undergoing bronchoscopy were much more likely to have their antibiotic regimens modified by clinicians. This suggests that the invasive approach may allow more directed use of antibiotics. Recently, the Canadian Critical Care Trials Group conducted a multicenter randomized trial looking at this issue.11 There was no difference between the 2 approaches in mortality, number of ventilator days, and antibiotic usage. However, all patients in this study were immediately treated with empiric broad‐spectrum antibiotics until culture results were available, and the investigators did not have a protocol for stopping antibiotics after culture data were available.
In summary, both invasive and noninvasive culturing approaches are considered acceptable options for diagnosing VAP. Readers interested in learning more about this topic should read the worthwhile Expert Discussion70 by Chastre and colleagues55 at the end of this article. In general, we recommend that ICU clinicians use a combination of clinical suspicion (based on the CPIS or other objective data) and cultures ideally obtained prior to antibiotics. Regardless of the chosen culturing approach, clinicians must recognize that 1 of the most important determinants of patient outcome is prompt administration of adequate initial antibiotics.7175
Initial Antibiotic Administration
Delaying initial antibiotics in VAP increases the risk of death.7175 If a patient receives ineffective initial therapy, a later switch to appropriate therapy does not eliminate the increased mortality risk. Therefore, a comprehensive approach to VAP diagnosis requires consideration of initial empiric antibiotic administration.
Whenever possible, clinicians should obtain a lower respiratory tract sample for microscopy and culture before administering antibiotics because performing cultures after antibiotics have been recently started will lead to a higher rate of false‐negative results.76 Unless the patient has no signs of sepsis and microscopy is completely negative, clinicians should then immediately start empiric broad‐spectrum antibiotics.57 Once the culture sensitivities are known, therapy can be deescalated to a narrower spectrum.77 Recent studies suggest that shorter durations of therapy (8 days) are as effective as longer courses and are associated with lower colonization rates by antibiotic‐resistant bacteria.62, 78
Initial broad‐spectrum antibiotics should be chosen based on local bacteriology and resistance patterns. Clinicians must remain aware of the most common bacterial pathogens in their local community, hospital, and ICU. This is essential for both ensuring adequate initial antibiotic coverage and reducing overall antibiotic days.65 Unrestrained use of broad‐spectrum antibiotics increases the risk of resistant pathogens. Clinicians must continually deescalate therapy and use narrow‐spectrum drugs as pathogens are identified.79
Prevention of VAP
In 2005, the American Thoracic Society published guidelines for the management of adults with VAP.5 These guidelines included a discussion of modifiable risk factors for preventing VAP and used an evidence‐based grading system to rank the various recommendations. The highest evidence (level 1) comes from randomized clinical trials, moderate evidence (level 2) comes from nonrandomized studies, and the lowest evidence (level 3) comes from case studies or expert opinion. Others have also published their own guidelines and recommendations for preventing VAP.8082 Table 4 shows the key VAP preventive strategies.
Strategy | Level of evidence | References |
---|---|---|
| ||
General infection control measures (hand hygiene, staff education, isolate MDR pathogens, etc.) | 1 | 2,83,84 |
ICU infection surveillance | 2 | 2,8385 |
Avoid reintubation if possible, but promptly reintubate if a patients inexorably fails extubation | 1 | 2,83,86,87 |
Use NPPV when appropriate (in selected patients) | 1 | 88 |
Use oral route for endotracheal and gastric tubes (vs. nasal route) | 2 | 89 |
Continuous suctioning of subglottic secretions (to avoid pooling on cuff and leakage into LRT) | 1 | 9092 |
Maintain endotracheal cuff pressure > 20 cm H2O (to prevent secretion leakage into LRT) | 2 | 93 |
Avoid unnecessary ventilator circuit changes | 1 | 94 |
Routinely empty condensate in ventilator circuit | 2 | 95 |
Maintain adequate nursing and therapist staffing | 2 | 9698 |
Implement ventilator weaning and sedation protocols | 2 | 99101 |
Semierect patient positioning (vs. supine) | 1 | 102 |
Avoid aspiration when using enteral nutrition | 1 | 103,104 |
Topical oral antisepsis (eg, chlorhexidine) | 1 | 105108 |
Control blood sugar with insulin | 1 | 109 |
Use heat‐moisture exchanger (vs. conventional humidifier) to reduce tubing condensate | 1 | 95 |
Avoid unnecessary red blood cell transfusions | 1 | 110 |
Use of sucralfate for GI prophylaxis | 1 | 111,112 |
Influenza vaccination for health care workers | 2 | 2 |
Some strategies are not recommended for VAP prevention in general ICU patients. Selective decontamination of the digestive tract (ie, prophylactic oral antibiotics) has been shown to reduce respiratory infections in ICU patients,113 but its overall role remains controversial because of concerns it may increase the incidence of multi‐drug‐resistant pathogens.114 Similarly, prophylactic intravenous antibiotics administered at the time of intubation can reduce VAP in certain patient populations,115 but this strategy is also associated with an increased risk of antibiotic‐resistant nosocomial infections.116 Using kinetic beds and scheduled chest physiotherapy to reduce VAP is based on the premise that critically ill patients often develop atelectasis and cannot effectively clear their secretions. Unfortunately, neither of these modalities has been shown to consistently reduce VAP in medical ICU patients.117119
Algorithms for Diagnosis and Treatment of VAP
We present algorithms for diagnosing VAP in 4 ICU populations: infant (1 year old), pediatric (1‐12 years old), immunocompromised, and adult ICU patients (Figs. 14). Because clinicians face considerable uncertainty when diagnosing VAP, we sought to develop practical algorithms for use in daily ICU practice. Although we provided the algorithms to collaborative participants as a tool for improving care, we never mandated use, and we did not monitor levels of adherence.
Five teaching cases are presented in the Appendix. We demonstrate how to utilize the diagnostic algorithms in these clinical scenarios and offer tips for clinicians wishing to employ these tools in their daily practice. These cases are useful for educating residents, nurses, and hospitalists.
Overall, our intent is that the combined use of these VAP algorithms facilitate a streamlined diagnostic approach and minimize delays in initial antibiotic administration. A primary focus of any VAP guideline should be early and appropriate antibiotics in adequate doses, with deescalation of therapy as culture data permit.5 In general, the greatest risk to a patient with VAP is delaying initial adequate antibiotic coverage, and for this reason, antibiotics must always be administered promptly. However, if culture data are negative, the clinician should consider withdrawing unnecessary antibiotics. For example, the absence of gram‐positive organisms on BAL after 72 hours would strongly suggest that MRSA is not playing a role and that vancomycin can be safely stopped. We agree with Neiderman that the decision point is not whether to start antibiotics, but whether to continue them at day 23.57
DISCUSSION
In this article, we introduce algorithms for diagnosing and managing VAP in infant, pediatric, immunocompromised, and adult ICU patients. We developed 4 algorithms because the hospitals in our system care for a wide range of patients. Our definitions for VAP were based on criteria outlined by the CDC because these rigorously developed criteria have been widely disseminated as components of the Institute for Healthcare Improvement's ventilator bundle.120 Clinicians should be able to easily incorporate these practical algorithms into their current practice.
The algorithms were developed during a collaborative across a large national health care system. We undertook this task because many clinicians were uncertain how to integrate the enormous volume of VAP literature into their daily practice, and we suspected there was large variation in practice in our ICUs. Recent studies from other health care systems provided empiric evidence to support this notion.12, 13
We offer these algorithms as practical tools to assist ICU clinicians and not as proscriptive mandates. We realize that the algorithms may need modification based on a hospital's unique bacteriology and patient populations. We also anticipate that the algorithms will adapt to future changes in VAP epidemiology, preventive strategies, emerging pathogens, and new antibiotics.
Numerous resources are available to learn more about VAP management. An excellent guideline from the Infectious Diseases Society of America and the American Thoracic Society discusses VAP issues in detail,5 although this guideline only focuses on immunocompetent adult patients. The journal Respiratory Care organized an international conference with numerous VAP experts in 2005 and subsequently devoted an entire issue to this topic.81 The Canadian Critical Care Trials Group and the Canadian Critical Care Society conducted systematic reviews and developed separate guidelines for the prevention, diagnosis, and treatment of VAP.80, 121
In summary, we present diagnostic and treatment algorithms for VAP. Our intent is that these algorithms may provide evidence‐based practical guidance to clinicians seeking a standardized approach to diagnosing and managing this challenging problem.
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Ventilator‐associated pneumonia (VAP) is a serious and common complication for patients in the intensive care unit (ICU).1 VAP is defined as a pulmonary infection occurring after hospital admission in a mechanically‐ventilated patient with a tracheostomy or endotracheal tube.2, 3 With an attributable mortality that may exceed 20% and an estimated cost of $5000‐$20,000 per episode,49 the management of VAP is an important issue for both patient safety and cost of care.
The diagnosis of VAP is a controversial topic in critical care, primarily because of the difficulty distinguishing between airway colonization, upper respiratory tract infection (eg, tracheobronchitis), and early‐onset pneumonia. Some clinicians insist that an invasive sampling technique (eg, bronchoalveolar lavage) with quantitative cultures is essential for determining the presence of VAP.10 However, other clinicians suggest that a noninvasive approach using qualitative cultures (eg, tracheal suctioning) is an acceptable alternative.11 Regardless, nearly all experts agree that a specimen for microbiologic culture should be obtained prior to initiating antibiotics. Subsequent therapy should then be adjusted according to culture results.
Studies from both Europe and North America have demonstrated considerable variation in the diagnostic approaches used for patients with suspected VAP.12, 13 This variation is likely a result of several factors including controversy about the best diagnostic approach, variation in clinician knowledge and experience, and variation in ICU management protocols. Such practice variability is common for many ICU behaviors.1416 Quality‐of‐care proponents view this variation as an important opportunity for improvement.17
During a recent national collaborative aimed at reducing health careassociated infections in the ICU, we discovered many participants were uncertain about how to diagnose and manage VAP, and considerable practice variability existed among participating hospitals. This uncertainty provided an important opportunity for developing consensus on VAP management. On the basis of diagnostic criteria outlined by the Centers for Disease Control and Prevention (CDC), we developed algorithms as tools for diagnosing VAP in 4 ICU populations: infant, pediatric, immunocompromised, and adult ICU patients. We also developed an algorithm for initial VAP treatment. An interdisciplinary team of experts reviewed the current literature and developed these evidence‐based consensus guidelines. Our intent is that the algorithms provide guidance to clinicians looking for a standardized approach to the diagnosis and management of this complicated clinical situation.
METHODS
Our primary goal was to develop practical algorithms that assist ICU clinicians in the diagnosis and management of VAP during daily practice. To improve the quality and credibility of these algorithms, the development process used a stepwise approach that included assembling an interdisciplinary team of experts, appraising the published evidence, and formulating the algorithms through a consensus process.18
AHRQ National Collaborative
We developed these diagnostic algorithms as part of a national collaborative effort aimed at reducing VAP and central venous catheterrelated bloodstream infections in the ICU. This effort was possible through a 2‐year Partnerships in Implementing Patient Safety grant funded by the Agency for Healthcare Research and Quality (AHRQ).19 The voluntary collaborative was conducted in 61 medical/surgical and children's hospitals across the Hospital Corporation of America (HCA), a company that owns and/or operates 173 hospitals and 107 freestanding surgery centers in 20 states, England, and Switzerland. HCA is one of the largest providers of health care in the United States. All participating hospitals had at least 1 ICU, and a total of 110 ICUs were included in the project. Most hospitals were in the southern or southeastern regions of the United States.
Interdisciplinary Team
We assembled an interdisciplinary team to develop the diagnostic algorithms. Individuals on the team represented the specialties of infectious diseases, infection control, anesthesia, critical care medicine, hospital medicine, critical care nursing, pharmacy, and biostatistics. The development phase occurred over 34 months and used an iterative process that consisted of both group conference calls and in‐person meetings.
Our goal was not to conduct a systematic review but rather to develop practical algorithms for collaborative participants in a timely manner. Our literature search strategy included MEDLINE and the Cochrane Library. We focused on articles that addressed key diagnostic issues, proposed an algorithm, or summarized a topic relevant to practicing clinicians. Extra attention was given to articles that were randomized trials, meta‐analyses, or systematic reviews. No explicit grading of articles was performed. We examined studies with outcomes of interest to clinicians, including mortality, number of ventilator days, length of stay, antibiotic utilization, and antibiotic resistance.
We screened potentially relevant articles and the references of these articles. The search results were reviewed by all members of the team, and an iterative consensus process was used to derive the current algorithms. Preliminary versions of the algorithms were shown to other AHRQ investigators and outside experts in the field, and additional modifications were made based on their feedback. The final algorithms were approved by all study investigators.
RESULTS
Literature Overview
Overall, there is an enormous body of published literature on diagnosing and managing VAP. The Medline database has listed more than 500 articles on VAP diagnosis in the past decade. Nonetheless, the best diagnostic approach remains unclear. The gold standard for diagnosing VAP is lung biopsy with histopathologic examination and tissue culture. However, this procedure is fraught with potential dangers and impractical for most critically ill patients.20 Therefore, practitioners traditionally combine their clinical suspicion (based on fever, leukocytosis, character of sputum, and radiographic changes), epidemiologic data (eg, patient demographics, medical history, and ICU infection surveillance data), and microbiologic data.
Several issues relevant to practicing clinicians deserve further mention.
Definition of VAP
Although early articles used variable criteria for diagnosing VAP, recent studies have traditionally defined VAP as an infection occurring more than 48 hours after hospital admission in a mechanically ventilated patient with a tracheostomy or endotracheal tube.2 In early 2007, the CDC revised their definition for diagnosing VAP.3 These latest criteria state there is no minimum period that the ventilator must be in place in order to diagnose VAP. This important change must be kept in mind when examining future studies.
The term VAP is more specific than the term health careassociated pneumonia. The latter encompasses patients residing in a nursing home or long‐term care facility; hospitalized in an acute care hospital for more than 48 hours in the past 90 days; receiving antibiotics, chemotherapy, or wound care within the past 30 days; or attending a hospital or hemodialysis clinic.
The CDC published detailed criteria for diagnosing VAP in its member hospitals (Tables 1 and 2).3 Because diagnosing VAP in infants, children, elderly, and immunocompromised patients is often confusing because of other conditions with similar signs and symptoms, the CDC published alternate criteria for these populations. A key objective during development of our algorithms was to consolidate and simplify these diagnostic criteria for ICU clinicians.
Radiology | Signs/symptoms/laboratory |
---|---|
| |
Two or more serial chest radiographs with at least 1 of the following*: | CRITERIA FOR ANY PATIENT |
New or progressive and persistent infiltrate | At least 1 of the following: |
Consolidation | Fever (>38C or >100.4F) with no other recognized cause |
Cavitation | Leukopenia (<4000 WBC/mm3) or leukocytosis (12,000 WBC/mm3) |
Pneumatoceles, in infants 1 year old | For adults 70 years old, altered mental status with no other recognized causeand |
Note: In patients without underlying pulmonary or cardiac disease (eg, respiratory distress syndrome, bronchopulmonary dysplasia, pulmonary edema, or chronic obstructive pulmonary disease), 1 definitive chest radiograph is acceptable.* | |
At least 2 of the following: | |
New onset of purulent sputum, or change in character of sputum, or increased respiratory secretions, or increased suctioning requirements | |
New‐onset or worsening cough or dyspnea or tachypnea‖ | |
Rales or bronchial breath sounds | |
Worsening gas exchange (eg, O2 desaturation [eg, PaO2/FiO2 240],** increased oxygen requirement, or increased ventilation demand) | |
Any laboratory criterion from Table 2 |
|
ALTERNATE CRITERIA FOR INFANTS 1 YEAR OLD | |
Worsening gas exchange (eg, O2 desaturation, increased ventilation demand or O2 requirement) | |
and | |
At least 3 of the following: | |
Temperature instability with no other recognized cause | |
Leukopenia (<4000 WBC/mm3) or leukocytosis (15,000 WBC/mm3) and left shift (10% bands) | |
New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
Apnea, tachypnea,‖ nasal flaring with retraction of chest wall, or grunting | |
Wheezing, rales, or rhonchi | |
Cough | |
Bradycadia (<100 beats/min) or tachycardia (>170 beats/min) | |
ALTERNATE CRITERIA FOR CHILD >1 OR 12 YEARS OLD | |
At least 3 of the following: | |
Fever (>38.4C or >101.1F) or hypothermia (<36.5C or <97.7F) with no other recognized cause | |
Leukopenia (<4000 WBC/mm3) or leukocytosis (15,000 WBC/mm3) | |
New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
New‐onset or worsening cough or dyspnea, apnea, or tachypnea‖ | |
Rales or bronchial breath sounds | |
Worsening gas exchange (eg, O2 desaturation <94%, increased ventilation demand or O2 requirement) | |
Any laboratory criterion from Table 2 |
|
ALTERNATE CRITERIA FOR IMMUNOCOMPROMISED PATIENTS*** | |
At least 1 of the following: | |
Fever (>38.4C or >101.1F) with no other recognized cause | |
For adults > 70 years old, altered mental status with no other recognized cause | |
New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
New‐onset or worsening cough, dyspnea, or tachypnea‖ | |
Rales or bronchial breath sounds | |
Worsening gas exchange (eg, O2 desaturation [eg, PaO2/FiO2 240],** increased oxygen requirement, or increased ventilation demand) | |
Hemoptysis | |
Pleuritic chest pain | |
Matching positive blood and sputum cultures with Candida spp. | |
Evidence of fungi or Pneumocytis from minimally contaminated LRT specimen (eg, BAL or protected specimen brushing) from 1 of the following: | |
Direct microscopic exam | |
Positive culture of fungi | |
Any laboratory criterion from Table 2 |
|
Positive growth in blood culture* not related to another source of infection |
Positive growth in culture of pleural fluid |
Positive quantitative culture from minimally contaminated LRT specimen (eg, BAL) |
5% BAL‐obtained cells contain intracellular bacteria on direct microscopic exam (eg, gram stain) |
Histopathologic exam shows at least 1 of the following: |
Abscess formation or foci of consolidation with intense PMN accumulation in bronchioles and alveoli |
Positive quantitative culture of lung parenchyma |
Evidence of lung parenchyma invasion by fungal hyphae or pseudohyphae |
Positive culture of virus or Chlamydia from respiratory secretions |
Positive detection of viral antigen or antibody from respiratory secretions (eg, EIA, FAMA, shell vial assay, PCR) |
Fourfold rise in paired sera (IgG) for pathogen (eg, influenza viruses, Chlamydia) |
Positive PCR for Chlamydia or Mycoplasma |
Positive micro‐IF test for Chlamydia |
Positive culture or visualization by micro‐IF of Legionella spp. from respiratory secretions or tissue |
Detection of Legionella pneumophila serogroup 1 antigens in urine by RIA or EIA |
Fourfold rise in L. pneumophila serogroup 1 antibody titer to 1:128 in paired acute and convalescent sera by indirect IFA |
Etiology
The most commonly isolated VAP pathogens in all patients are bacteria.21 Most of these organisms normally colonize the respiratory and gastrointestinal tracts, but some are unique to health care settings. Tracheal intubation disrupts the body's natural anatomic and physiologic defenses and facilitates easier entry of these pathogens. Typical organisms include Staphylococcus aureus, Pseudomonas aeruginosa, Enterobacter species, Klebsiella pneumoniae, Acinetobacter species, Escherichia coli, and Haemophilus influenzae.22, 23 Unfortunately, the prevalence of antimicrobial resistance among VAP pathogens is increasing.24 Risk factors for antibiotic resistance are common to ICU patients and include recent antibiotics, hemodialysis, nursing home residence, immunosuppression, and chronic wound care.5 Polymicrobial infections are frequently seen in VAP, with up to 50% of all VAP episodes caused by more than 1 organism.25
Viral VAP is rare in immunocompetent hosts, and seasonal outbreaks of influenza and other similar viruses are usually limited to nonventilated patients.26 However, influenza is underrecognized as a potential nosocomial pathogen, and numerous nosocomial outbreaks because of influenza have been reported.2731 Although herpes simplex virus is often detected in the respiratory tract of critically ill patients, its clinical importance remains unclear.32
Fungal VAP is also rare in immunocompetent hosts. On the other hand, pulmonary fungal infections are common in immunocompromised patients, especially following chemotherapy and transplantation. Candida species are often isolated from the airways of normal hosts, but most cases traditionally have been considered clinically unimportant because these organisms are normal oropharyngeal flora and rarely invade lung tissue.33, 34 It is unclear whether recent studies suggesting Candida colonization is associated with a higher risk for Pseudomonas VAP will change this conventional wisdom.3537
Immunocompromised patients with suspected VAP are unique because they are at risk not only for typical bacteria (which are the most common causes of VAP) but also for rarer opportunistic infections and noninfectious processes that mimic pneumonia.3840 While assessing these patients, clinicians must consider the status of the underlying disease, duration and type of immunosuppression, prophylactic regimens, and risk factors for noninfectious causes of pulmonary infiltrates.41 Common opportunistic infections include viruses, mycobacteria, fungi, and Pneumocystis. Noninfectious processes include pulmonary edema, drug toxicity, radiation pneumonitis, engraftment syndrome, bronchiolitis obliterans organizing pneumonia, alveolar proteinosis, transfusion‐related lung injury, alveolar hemorrhage, and progression of underlying disease. In general, diagnosing VAP in the immunocompromised patient requires a prompt, comprehensive, and multidisciplinary approach.38
In preterm and term infants, the most common VAP pathogens are gram‐negative organisms such as E. coli and P. aeruginosa. Other less common pathogens are Enterobacter, Klebsiella, Acinetobacter, Proteus, Citrobacter, and Stenotrophomonas maltophilia.42, 43 Infants with a preceding bloodstream infection or prolonged intubation are more likely to develop VAP.43, 44 Unfortunately, gram‐negative bacteria often colonize the airways of mechanically ventilated infants, and tracheal aspirate culture data are difficult to interpret in this population.42
Children are more likely to develop VAP if they are intubated for more than 48 hours. The most common pathogens isolated from tracheal aspirates in mechanically ventilated children are enteric gram‐negative bacteria, P. aeruginosa, and S. aureus.45, 46 Few studies have precisely delineated the pathogenesis of VAP in the pediatric ICU population.
Overall, the causes of VAP vary by hospital, patient population, and ICU type. Therefore, it is essential that ICU clinicians remain knowledgeable about their local surveillance data.21 Awareness of VAP microbiology is essential for optimizing initial antibiotic therapy and improving outcomes.
Early Versus Late VAP
Distinguishing between early and late VAP is important for initial antibiotic selection because the etiologic pathogens vary between these 2 periods.4749 Early VAP (days 14 of hospitalization) usually involves antibiotic‐sensitive community‐acquired bacteria and carries a better prognosis. In contrast, late VAP (5 days after hospital admission) is more likely to be caused by antibiotic‐resistant nosocomial bacteria that lead to increased morbidity and mortality. All patients who have been hospitalized or have received antibiotics during the prior 90 days should be treated as having late VAP because they are at much higher risk for colonization and infection with antibiotic‐resistant bacteria.47 Of note, 2 recent studies suggest that pathogens in the early and late periods are becoming similar at some institutions.50, 51 Overall, the distinction between early and late VAP is important because it affects the likelihood that a patient has antibiotic‐resistant bacteria. If antibiotic‐resistant pathogens are suspected, initial therapy should include empiric triple antibiotics until culture data are available.
Culturing Approaches
Because clinical criteria alone are rarely able to accurately diagnose VAP,52, 53 clinicians should also obtain a respiratory specimen for microbiologic culture. Despite the convenience of blood cultures, their sensitivity for diagnosing VAP is poor, and they rarely make the diagnosis alone.54 Two methods are available for culturing the lungsan invasive approach (eg, bronchoscopy with bronchoalveolar lavage) and a noninvasive approach (eg, tracheal aspirate).
Some investigators believe that adult patients with suspected VAP should always undergo an invasive sampling of lower‐respiratory‐tract secretions.55 Proponents of the invasive approach cite the frequency with which potential pathogens colonize the trachea of ICU patients and create spurious results on tracheal aspirates.22 In addition, several studies have shown that clinicians are more likely to narrow the spectrum of antibiotics after obtaining an invasive diagnostic sample.56 In other words, the invasive approach has been associated with better antimicrobial stewardship.
Other investigators believe that a noninvasive approach is equally safe and effective for diagnosing VAP.57 This clinical approach involves culturing a tracheal aspirate and using a pneumonia prediction score such as the clinical pulmonary infection score (CPIS; Table 3). The CPIS assigns 012 points based on 6 clinical criteria: fever, leukocyte count, oxygenation, quantity and purulence of secretions, type of radiographic abnormality, and results of sputum gram stain and culture.58 As developed, a CPIS > 6 has a sensitivity of 93% and a specificity of 100% for diagnosing VAP.58 However, the CPIS requires that nurses record sputum volume and that the laboratory stains the specimen. When the CPIS has been modified based on the unavailability of such resources, the results have been less impressive.5961 Despite studies showing that a noninvasive clinical approach can achieve adequate initial antibiotic coverage and reduce overuse of broad‐spectrum agents,62, 63 clinicians who use the CPIS must understand its inherent limitations.
Criterion | Range | Score |
---|---|---|
| ||
Temperature (C) | 36.138.4 | 0 |
38.538.9 | 1 | |
39 or 36 | 2 | |
Blood leukocytes (/mm3) | 4000 and 11,000 | 0 |
<4000 or >11,000 | 1 | |
+ band forms 500 | 2 | |
Oxygenation: PaO2/FiO2 (mmHg) | >240 or ARDS | 0 |
240 and no evidence of ARDS | 2 | |
Chest radiograph | No infiltrate | 0 |
Diffuse (or patchy) infiltrate | 1 | |
Localized infiltrate | 2 | |
Tracheal secretions | Absence of tracheal secretions | 0 |
Nonpurulent tracheal secretions | 1 | |
Purulent tracheal secretions | 2 | |
Culture of tracheal aspirate | Pathogenic bacteria culture: no growth or light growth | 0 |
Pathogenic bacteria culture: moderate/heavy growth | 1 | |
Same pathogenic bacteria seen on gram stain (add 1 point) | 2 |
A meta‐analysis56 comparing the utility of an invasive versus a noninvasive culturing approach identified 4 randomized trials examining this issue.6669 Overall, an invasive approach did not alter mortality, but patients undergoing bronchoscopy were much more likely to have their antibiotic regimens modified by clinicians. This suggests that the invasive approach may allow more directed use of antibiotics. Recently, the Canadian Critical Care Trials Group conducted a multicenter randomized trial looking at this issue.11 There was no difference between the 2 approaches in mortality, number of ventilator days, and antibiotic usage. However, all patients in this study were immediately treated with empiric broad‐spectrum antibiotics until culture results were available, and the investigators did not have a protocol for stopping antibiotics after culture data were available.
In summary, both invasive and noninvasive culturing approaches are considered acceptable options for diagnosing VAP. Readers interested in learning more about this topic should read the worthwhile Expert Discussion70 by Chastre and colleagues55 at the end of this article. In general, we recommend that ICU clinicians use a combination of clinical suspicion (based on the CPIS or other objective data) and cultures ideally obtained prior to antibiotics. Regardless of the chosen culturing approach, clinicians must recognize that 1 of the most important determinants of patient outcome is prompt administration of adequate initial antibiotics.7175
Initial Antibiotic Administration
Delaying initial antibiotics in VAP increases the risk of death.7175 If a patient receives ineffective initial therapy, a later switch to appropriate therapy does not eliminate the increased mortality risk. Therefore, a comprehensive approach to VAP diagnosis requires consideration of initial empiric antibiotic administration.
Whenever possible, clinicians should obtain a lower respiratory tract sample for microscopy and culture before administering antibiotics because performing cultures after antibiotics have been recently started will lead to a higher rate of false‐negative results.76 Unless the patient has no signs of sepsis and microscopy is completely negative, clinicians should then immediately start empiric broad‐spectrum antibiotics.57 Once the culture sensitivities are known, therapy can be deescalated to a narrower spectrum.77 Recent studies suggest that shorter durations of therapy (8 days) are as effective as longer courses and are associated with lower colonization rates by antibiotic‐resistant bacteria.62, 78
Initial broad‐spectrum antibiotics should be chosen based on local bacteriology and resistance patterns. Clinicians must remain aware of the most common bacterial pathogens in their local community, hospital, and ICU. This is essential for both ensuring adequate initial antibiotic coverage and reducing overall antibiotic days.65 Unrestrained use of broad‐spectrum antibiotics increases the risk of resistant pathogens. Clinicians must continually deescalate therapy and use narrow‐spectrum drugs as pathogens are identified.79
Prevention of VAP
In 2005, the American Thoracic Society published guidelines for the management of adults with VAP.5 These guidelines included a discussion of modifiable risk factors for preventing VAP and used an evidence‐based grading system to rank the various recommendations. The highest evidence (level 1) comes from randomized clinical trials, moderate evidence (level 2) comes from nonrandomized studies, and the lowest evidence (level 3) comes from case studies or expert opinion. Others have also published their own guidelines and recommendations for preventing VAP.8082 Table 4 shows the key VAP preventive strategies.
Strategy | Level of evidence | References |
---|---|---|
| ||
General infection control measures (hand hygiene, staff education, isolate MDR pathogens, etc.) | 1 | 2,83,84 |
ICU infection surveillance | 2 | 2,8385 |
Avoid reintubation if possible, but promptly reintubate if a patients inexorably fails extubation | 1 | 2,83,86,87 |
Use NPPV when appropriate (in selected patients) | 1 | 88 |
Use oral route for endotracheal and gastric tubes (vs. nasal route) | 2 | 89 |
Continuous suctioning of subglottic secretions (to avoid pooling on cuff and leakage into LRT) | 1 | 9092 |
Maintain endotracheal cuff pressure > 20 cm H2O (to prevent secretion leakage into LRT) | 2 | 93 |
Avoid unnecessary ventilator circuit changes | 1 | 94 |
Routinely empty condensate in ventilator circuit | 2 | 95 |
Maintain adequate nursing and therapist staffing | 2 | 9698 |
Implement ventilator weaning and sedation protocols | 2 | 99101 |
Semierect patient positioning (vs. supine) | 1 | 102 |
Avoid aspiration when using enteral nutrition | 1 | 103,104 |
Topical oral antisepsis (eg, chlorhexidine) | 1 | 105108 |
Control blood sugar with insulin | 1 | 109 |
Use heat‐moisture exchanger (vs. conventional humidifier) to reduce tubing condensate | 1 | 95 |
Avoid unnecessary red blood cell transfusions | 1 | 110 |
Use of sucralfate for GI prophylaxis | 1 | 111,112 |
Influenza vaccination for health care workers | 2 | 2 |
Some strategies are not recommended for VAP prevention in general ICU patients. Selective decontamination of the digestive tract (ie, prophylactic oral antibiotics) has been shown to reduce respiratory infections in ICU patients,113 but its overall role remains controversial because of concerns it may increase the incidence of multi‐drug‐resistant pathogens.114 Similarly, prophylactic intravenous antibiotics administered at the time of intubation can reduce VAP in certain patient populations,115 but this strategy is also associated with an increased risk of antibiotic‐resistant nosocomial infections.116 Using kinetic beds and scheduled chest physiotherapy to reduce VAP is based on the premise that critically ill patients often develop atelectasis and cannot effectively clear their secretions. Unfortunately, neither of these modalities has been shown to consistently reduce VAP in medical ICU patients.117119
Algorithms for Diagnosis and Treatment of VAP
We present algorithms for diagnosing VAP in 4 ICU populations: infant (1 year old), pediatric (1‐12 years old), immunocompromised, and adult ICU patients (Figs. 14). Because clinicians face considerable uncertainty when diagnosing VAP, we sought to develop practical algorithms for use in daily ICU practice. Although we provided the algorithms to collaborative participants as a tool for improving care, we never mandated use, and we did not monitor levels of adherence.
Five teaching cases are presented in the Appendix. We demonstrate how to utilize the diagnostic algorithms in these clinical scenarios and offer tips for clinicians wishing to employ these tools in their daily practice. These cases are useful for educating residents, nurses, and hospitalists.
Overall, our intent is that the combined use of these VAP algorithms facilitate a streamlined diagnostic approach and minimize delays in initial antibiotic administration. A primary focus of any VAP guideline should be early and appropriate antibiotics in adequate doses, with deescalation of therapy as culture data permit.5 In general, the greatest risk to a patient with VAP is delaying initial adequate antibiotic coverage, and for this reason, antibiotics must always be administered promptly. However, if culture data are negative, the clinician should consider withdrawing unnecessary antibiotics. For example, the absence of gram‐positive organisms on BAL after 72 hours would strongly suggest that MRSA is not playing a role and that vancomycin can be safely stopped. We agree with Neiderman that the decision point is not whether to start antibiotics, but whether to continue them at day 23.57
DISCUSSION
In this article, we introduce algorithms for diagnosing and managing VAP in infant, pediatric, immunocompromised, and adult ICU patients. We developed 4 algorithms because the hospitals in our system care for a wide range of patients. Our definitions for VAP were based on criteria outlined by the CDC because these rigorously developed criteria have been widely disseminated as components of the Institute for Healthcare Improvement's ventilator bundle.120 Clinicians should be able to easily incorporate these practical algorithms into their current practice.
The algorithms were developed during a collaborative across a large national health care system. We undertook this task because many clinicians were uncertain how to integrate the enormous volume of VAP literature into their daily practice, and we suspected there was large variation in practice in our ICUs. Recent studies from other health care systems provided empiric evidence to support this notion.12, 13
We offer these algorithms as practical tools to assist ICU clinicians and not as proscriptive mandates. We realize that the algorithms may need modification based on a hospital's unique bacteriology and patient populations. We also anticipate that the algorithms will adapt to future changes in VAP epidemiology, preventive strategies, emerging pathogens, and new antibiotics.
Numerous resources are available to learn more about VAP management. An excellent guideline from the Infectious Diseases Society of America and the American Thoracic Society discusses VAP issues in detail,5 although this guideline only focuses on immunocompetent adult patients. The journal Respiratory Care organized an international conference with numerous VAP experts in 2005 and subsequently devoted an entire issue to this topic.81 The Canadian Critical Care Trials Group and the Canadian Critical Care Society conducted systematic reviews and developed separate guidelines for the prevention, diagnosis, and treatment of VAP.80, 121
In summary, we present diagnostic and treatment algorithms for VAP. Our intent is that these algorithms may provide evidence‐based practical guidance to clinicians seeking a standardized approach to diagnosing and managing this challenging problem.
Ventilator‐associated pneumonia (VAP) is a serious and common complication for patients in the intensive care unit (ICU).1 VAP is defined as a pulmonary infection occurring after hospital admission in a mechanically‐ventilated patient with a tracheostomy or endotracheal tube.2, 3 With an attributable mortality that may exceed 20% and an estimated cost of $5000‐$20,000 per episode,49 the management of VAP is an important issue for both patient safety and cost of care.
The diagnosis of VAP is a controversial topic in critical care, primarily because of the difficulty distinguishing between airway colonization, upper respiratory tract infection (eg, tracheobronchitis), and early‐onset pneumonia. Some clinicians insist that an invasive sampling technique (eg, bronchoalveolar lavage) with quantitative cultures is essential for determining the presence of VAP.10 However, other clinicians suggest that a noninvasive approach using qualitative cultures (eg, tracheal suctioning) is an acceptable alternative.11 Regardless, nearly all experts agree that a specimen for microbiologic culture should be obtained prior to initiating antibiotics. Subsequent therapy should then be adjusted according to culture results.
Studies from both Europe and North America have demonstrated considerable variation in the diagnostic approaches used for patients with suspected VAP.12, 13 This variation is likely a result of several factors including controversy about the best diagnostic approach, variation in clinician knowledge and experience, and variation in ICU management protocols. Such practice variability is common for many ICU behaviors.1416 Quality‐of‐care proponents view this variation as an important opportunity for improvement.17
During a recent national collaborative aimed at reducing health careassociated infections in the ICU, we discovered many participants were uncertain about how to diagnose and manage VAP, and considerable practice variability existed among participating hospitals. This uncertainty provided an important opportunity for developing consensus on VAP management. On the basis of diagnostic criteria outlined by the Centers for Disease Control and Prevention (CDC), we developed algorithms as tools for diagnosing VAP in 4 ICU populations: infant, pediatric, immunocompromised, and adult ICU patients. We also developed an algorithm for initial VAP treatment. An interdisciplinary team of experts reviewed the current literature and developed these evidence‐based consensus guidelines. Our intent is that the algorithms provide guidance to clinicians looking for a standardized approach to the diagnosis and management of this complicated clinical situation.
METHODS
Our primary goal was to develop practical algorithms that assist ICU clinicians in the diagnosis and management of VAP during daily practice. To improve the quality and credibility of these algorithms, the development process used a stepwise approach that included assembling an interdisciplinary team of experts, appraising the published evidence, and formulating the algorithms through a consensus process.18
AHRQ National Collaborative
We developed these diagnostic algorithms as part of a national collaborative effort aimed at reducing VAP and central venous catheterrelated bloodstream infections in the ICU. This effort was possible through a 2‐year Partnerships in Implementing Patient Safety grant funded by the Agency for Healthcare Research and Quality (AHRQ).19 The voluntary collaborative was conducted in 61 medical/surgical and children's hospitals across the Hospital Corporation of America (HCA), a company that owns and/or operates 173 hospitals and 107 freestanding surgery centers in 20 states, England, and Switzerland. HCA is one of the largest providers of health care in the United States. All participating hospitals had at least 1 ICU, and a total of 110 ICUs were included in the project. Most hospitals were in the southern or southeastern regions of the United States.
Interdisciplinary Team
We assembled an interdisciplinary team to develop the diagnostic algorithms. Individuals on the team represented the specialties of infectious diseases, infection control, anesthesia, critical care medicine, hospital medicine, critical care nursing, pharmacy, and biostatistics. The development phase occurred over 34 months and used an iterative process that consisted of both group conference calls and in‐person meetings.
Our goal was not to conduct a systematic review but rather to develop practical algorithms for collaborative participants in a timely manner. Our literature search strategy included MEDLINE and the Cochrane Library. We focused on articles that addressed key diagnostic issues, proposed an algorithm, or summarized a topic relevant to practicing clinicians. Extra attention was given to articles that were randomized trials, meta‐analyses, or systematic reviews. No explicit grading of articles was performed. We examined studies with outcomes of interest to clinicians, including mortality, number of ventilator days, length of stay, antibiotic utilization, and antibiotic resistance.
We screened potentially relevant articles and the references of these articles. The search results were reviewed by all members of the team, and an iterative consensus process was used to derive the current algorithms. Preliminary versions of the algorithms were shown to other AHRQ investigators and outside experts in the field, and additional modifications were made based on their feedback. The final algorithms were approved by all study investigators.
RESULTS
Literature Overview
Overall, there is an enormous body of published literature on diagnosing and managing VAP. The Medline database has listed more than 500 articles on VAP diagnosis in the past decade. Nonetheless, the best diagnostic approach remains unclear. The gold standard for diagnosing VAP is lung biopsy with histopathologic examination and tissue culture. However, this procedure is fraught with potential dangers and impractical for most critically ill patients.20 Therefore, practitioners traditionally combine their clinical suspicion (based on fever, leukocytosis, character of sputum, and radiographic changes), epidemiologic data (eg, patient demographics, medical history, and ICU infection surveillance data), and microbiologic data.
Several issues relevant to practicing clinicians deserve further mention.
Definition of VAP
Although early articles used variable criteria for diagnosing VAP, recent studies have traditionally defined VAP as an infection occurring more than 48 hours after hospital admission in a mechanically ventilated patient with a tracheostomy or endotracheal tube.2 In early 2007, the CDC revised their definition for diagnosing VAP.3 These latest criteria state there is no minimum period that the ventilator must be in place in order to diagnose VAP. This important change must be kept in mind when examining future studies.
The term VAP is more specific than the term health careassociated pneumonia. The latter encompasses patients residing in a nursing home or long‐term care facility; hospitalized in an acute care hospital for more than 48 hours in the past 90 days; receiving antibiotics, chemotherapy, or wound care within the past 30 days; or attending a hospital or hemodialysis clinic.
The CDC published detailed criteria for diagnosing VAP in its member hospitals (Tables 1 and 2).3 Because diagnosing VAP in infants, children, elderly, and immunocompromised patients is often confusing because of other conditions with similar signs and symptoms, the CDC published alternate criteria for these populations. A key objective during development of our algorithms was to consolidate and simplify these diagnostic criteria for ICU clinicians.
Radiology | Signs/symptoms/laboratory |
---|---|
| |
Two or more serial chest radiographs with at least 1 of the following*: | CRITERIA FOR ANY PATIENT |
New or progressive and persistent infiltrate | At least 1 of the following: |
Consolidation | Fever (>38C or >100.4F) with no other recognized cause |
Cavitation | Leukopenia (<4000 WBC/mm3) or leukocytosis (12,000 WBC/mm3) |
Pneumatoceles, in infants 1 year old | For adults 70 years old, altered mental status with no other recognized causeand |
Note: In patients without underlying pulmonary or cardiac disease (eg, respiratory distress syndrome, bronchopulmonary dysplasia, pulmonary edema, or chronic obstructive pulmonary disease), 1 definitive chest radiograph is acceptable.* | |
At least 2 of the following: | |
New onset of purulent sputum, or change in character of sputum, or increased respiratory secretions, or increased suctioning requirements | |
New‐onset or worsening cough or dyspnea or tachypnea‖ | |
Rales or bronchial breath sounds | |
Worsening gas exchange (eg, O2 desaturation [eg, PaO2/FiO2 240],** increased oxygen requirement, or increased ventilation demand) | |
Any laboratory criterion from Table 2 |
|
ALTERNATE CRITERIA FOR INFANTS 1 YEAR OLD | |
Worsening gas exchange (eg, O2 desaturation, increased ventilation demand or O2 requirement) | |
and | |
At least 3 of the following: | |
Temperature instability with no other recognized cause | |
Leukopenia (<4000 WBC/mm3) or leukocytosis (15,000 WBC/mm3) and left shift (10% bands) | |
New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
Apnea, tachypnea,‖ nasal flaring with retraction of chest wall, or grunting | |
Wheezing, rales, or rhonchi | |
Cough | |
Bradycadia (<100 beats/min) or tachycardia (>170 beats/min) | |
ALTERNATE CRITERIA FOR CHILD >1 OR 12 YEARS OLD | |
At least 3 of the following: | |
Fever (>38.4C or >101.1F) or hypothermia (<36.5C or <97.7F) with no other recognized cause | |
Leukopenia (<4000 WBC/mm3) or leukocytosis (15,000 WBC/mm3) | |
New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
New‐onset or worsening cough or dyspnea, apnea, or tachypnea‖ | |
Rales or bronchial breath sounds | |
Worsening gas exchange (eg, O2 desaturation <94%, increased ventilation demand or O2 requirement) | |
Any laboratory criterion from Table 2 |
|
ALTERNATE CRITERIA FOR IMMUNOCOMPROMISED PATIENTS*** | |
At least 1 of the following: | |
Fever (>38.4C or >101.1F) with no other recognized cause | |
For adults > 70 years old, altered mental status with no other recognized cause | |
New‐onset purulent sputum, change in character of sputum, increased respiratory secretions, or increased suctioning requirements | |
New‐onset or worsening cough, dyspnea, or tachypnea‖ | |
Rales or bronchial breath sounds | |
Worsening gas exchange (eg, O2 desaturation [eg, PaO2/FiO2 240],** increased oxygen requirement, or increased ventilation demand) | |
Hemoptysis | |
Pleuritic chest pain | |
Matching positive blood and sputum cultures with Candida spp. | |
Evidence of fungi or Pneumocytis from minimally contaminated LRT specimen (eg, BAL or protected specimen brushing) from 1 of the following: | |
Direct microscopic exam | |
Positive culture of fungi | |
Any laboratory criterion from Table 2 |
|
Positive growth in blood culture* not related to another source of infection |
Positive growth in culture of pleural fluid |
Positive quantitative culture from minimally contaminated LRT specimen (eg, BAL) |
5% BAL‐obtained cells contain intracellular bacteria on direct microscopic exam (eg, gram stain) |
Histopathologic exam shows at least 1 of the following: |
Abscess formation or foci of consolidation with intense PMN accumulation in bronchioles and alveoli |
Positive quantitative culture of lung parenchyma |
Evidence of lung parenchyma invasion by fungal hyphae or pseudohyphae |
Positive culture of virus or Chlamydia from respiratory secretions |
Positive detection of viral antigen or antibody from respiratory secretions (eg, EIA, FAMA, shell vial assay, PCR) |
Fourfold rise in paired sera (IgG) for pathogen (eg, influenza viruses, Chlamydia) |
Positive PCR for Chlamydia or Mycoplasma |
Positive micro‐IF test for Chlamydia |
Positive culture or visualization by micro‐IF of Legionella spp. from respiratory secretions or tissue |
Detection of Legionella pneumophila serogroup 1 antigens in urine by RIA or EIA |
Fourfold rise in L. pneumophila serogroup 1 antibody titer to 1:128 in paired acute and convalescent sera by indirect IFA |
Etiology
The most commonly isolated VAP pathogens in all patients are bacteria.21 Most of these organisms normally colonize the respiratory and gastrointestinal tracts, but some are unique to health care settings. Tracheal intubation disrupts the body's natural anatomic and physiologic defenses and facilitates easier entry of these pathogens. Typical organisms include Staphylococcus aureus, Pseudomonas aeruginosa, Enterobacter species, Klebsiella pneumoniae, Acinetobacter species, Escherichia coli, and Haemophilus influenzae.22, 23 Unfortunately, the prevalence of antimicrobial resistance among VAP pathogens is increasing.24 Risk factors for antibiotic resistance are common to ICU patients and include recent antibiotics, hemodialysis, nursing home residence, immunosuppression, and chronic wound care.5 Polymicrobial infections are frequently seen in VAP, with up to 50% of all VAP episodes caused by more than 1 organism.25
Viral VAP is rare in immunocompetent hosts, and seasonal outbreaks of influenza and other similar viruses are usually limited to nonventilated patients.26 However, influenza is underrecognized as a potential nosocomial pathogen, and numerous nosocomial outbreaks because of influenza have been reported.2731 Although herpes simplex virus is often detected in the respiratory tract of critically ill patients, its clinical importance remains unclear.32
Fungal VAP is also rare in immunocompetent hosts. On the other hand, pulmonary fungal infections are common in immunocompromised patients, especially following chemotherapy and transplantation. Candida species are often isolated from the airways of normal hosts, but most cases traditionally have been considered clinically unimportant because these organisms are normal oropharyngeal flora and rarely invade lung tissue.33, 34 It is unclear whether recent studies suggesting Candida colonization is associated with a higher risk for Pseudomonas VAP will change this conventional wisdom.3537
Immunocompromised patients with suspected VAP are unique because they are at risk not only for typical bacteria (which are the most common causes of VAP) but also for rarer opportunistic infections and noninfectious processes that mimic pneumonia.3840 While assessing these patients, clinicians must consider the status of the underlying disease, duration and type of immunosuppression, prophylactic regimens, and risk factors for noninfectious causes of pulmonary infiltrates.41 Common opportunistic infections include viruses, mycobacteria, fungi, and Pneumocystis. Noninfectious processes include pulmonary edema, drug toxicity, radiation pneumonitis, engraftment syndrome, bronchiolitis obliterans organizing pneumonia, alveolar proteinosis, transfusion‐related lung injury, alveolar hemorrhage, and progression of underlying disease. In general, diagnosing VAP in the immunocompromised patient requires a prompt, comprehensive, and multidisciplinary approach.38
In preterm and term infants, the most common VAP pathogens are gram‐negative organisms such as E. coli and P. aeruginosa. Other less common pathogens are Enterobacter, Klebsiella, Acinetobacter, Proteus, Citrobacter, and Stenotrophomonas maltophilia.42, 43 Infants with a preceding bloodstream infection or prolonged intubation are more likely to develop VAP.43, 44 Unfortunately, gram‐negative bacteria often colonize the airways of mechanically ventilated infants, and tracheal aspirate culture data are difficult to interpret in this population.42
Children are more likely to develop VAP if they are intubated for more than 48 hours. The most common pathogens isolated from tracheal aspirates in mechanically ventilated children are enteric gram‐negative bacteria, P. aeruginosa, and S. aureus.45, 46 Few studies have precisely delineated the pathogenesis of VAP in the pediatric ICU population.
Overall, the causes of VAP vary by hospital, patient population, and ICU type. Therefore, it is essential that ICU clinicians remain knowledgeable about their local surveillance data.21 Awareness of VAP microbiology is essential for optimizing initial antibiotic therapy and improving outcomes.
Early Versus Late VAP
Distinguishing between early and late VAP is important for initial antibiotic selection because the etiologic pathogens vary between these 2 periods.4749 Early VAP (days 14 of hospitalization) usually involves antibiotic‐sensitive community‐acquired bacteria and carries a better prognosis. In contrast, late VAP (5 days after hospital admission) is more likely to be caused by antibiotic‐resistant nosocomial bacteria that lead to increased morbidity and mortality. All patients who have been hospitalized or have received antibiotics during the prior 90 days should be treated as having late VAP because they are at much higher risk for colonization and infection with antibiotic‐resistant bacteria.47 Of note, 2 recent studies suggest that pathogens in the early and late periods are becoming similar at some institutions.50, 51 Overall, the distinction between early and late VAP is important because it affects the likelihood that a patient has antibiotic‐resistant bacteria. If antibiotic‐resistant pathogens are suspected, initial therapy should include empiric triple antibiotics until culture data are available.
Culturing Approaches
Because clinical criteria alone are rarely able to accurately diagnose VAP,52, 53 clinicians should also obtain a respiratory specimen for microbiologic culture. Despite the convenience of blood cultures, their sensitivity for diagnosing VAP is poor, and they rarely make the diagnosis alone.54 Two methods are available for culturing the lungsan invasive approach (eg, bronchoscopy with bronchoalveolar lavage) and a noninvasive approach (eg, tracheal aspirate).
Some investigators believe that adult patients with suspected VAP should always undergo an invasive sampling of lower‐respiratory‐tract secretions.55 Proponents of the invasive approach cite the frequency with which potential pathogens colonize the trachea of ICU patients and create spurious results on tracheal aspirates.22 In addition, several studies have shown that clinicians are more likely to narrow the spectrum of antibiotics after obtaining an invasive diagnostic sample.56 In other words, the invasive approach has been associated with better antimicrobial stewardship.
Other investigators believe that a noninvasive approach is equally safe and effective for diagnosing VAP.57 This clinical approach involves culturing a tracheal aspirate and using a pneumonia prediction score such as the clinical pulmonary infection score (CPIS; Table 3). The CPIS assigns 012 points based on 6 clinical criteria: fever, leukocyte count, oxygenation, quantity and purulence of secretions, type of radiographic abnormality, and results of sputum gram stain and culture.58 As developed, a CPIS > 6 has a sensitivity of 93% and a specificity of 100% for diagnosing VAP.58 However, the CPIS requires that nurses record sputum volume and that the laboratory stains the specimen. When the CPIS has been modified based on the unavailability of such resources, the results have been less impressive.5961 Despite studies showing that a noninvasive clinical approach can achieve adequate initial antibiotic coverage and reduce overuse of broad‐spectrum agents,62, 63 clinicians who use the CPIS must understand its inherent limitations.
Criterion | Range | Score |
---|---|---|
| ||
Temperature (C) | 36.138.4 | 0 |
38.538.9 | 1 | |
39 or 36 | 2 | |
Blood leukocytes (/mm3) | 4000 and 11,000 | 0 |
<4000 or >11,000 | 1 | |
+ band forms 500 | 2 | |
Oxygenation: PaO2/FiO2 (mmHg) | >240 or ARDS | 0 |
240 and no evidence of ARDS | 2 | |
Chest radiograph | No infiltrate | 0 |
Diffuse (or patchy) infiltrate | 1 | |
Localized infiltrate | 2 | |
Tracheal secretions | Absence of tracheal secretions | 0 |
Nonpurulent tracheal secretions | 1 | |
Purulent tracheal secretions | 2 | |
Culture of tracheal aspirate | Pathogenic bacteria culture: no growth or light growth | 0 |
Pathogenic bacteria culture: moderate/heavy growth | 1 | |
Same pathogenic bacteria seen on gram stain (add 1 point) | 2 |
A meta‐analysis56 comparing the utility of an invasive versus a noninvasive culturing approach identified 4 randomized trials examining this issue.6669 Overall, an invasive approach did not alter mortality, but patients undergoing bronchoscopy were much more likely to have their antibiotic regimens modified by clinicians. This suggests that the invasive approach may allow more directed use of antibiotics. Recently, the Canadian Critical Care Trials Group conducted a multicenter randomized trial looking at this issue.11 There was no difference between the 2 approaches in mortality, number of ventilator days, and antibiotic usage. However, all patients in this study were immediately treated with empiric broad‐spectrum antibiotics until culture results were available, and the investigators did not have a protocol for stopping antibiotics after culture data were available.
In summary, both invasive and noninvasive culturing approaches are considered acceptable options for diagnosing VAP. Readers interested in learning more about this topic should read the worthwhile Expert Discussion70 by Chastre and colleagues55 at the end of this article. In general, we recommend that ICU clinicians use a combination of clinical suspicion (based on the CPIS or other objective data) and cultures ideally obtained prior to antibiotics. Regardless of the chosen culturing approach, clinicians must recognize that 1 of the most important determinants of patient outcome is prompt administration of adequate initial antibiotics.7175
Initial Antibiotic Administration
Delaying initial antibiotics in VAP increases the risk of death.7175 If a patient receives ineffective initial therapy, a later switch to appropriate therapy does not eliminate the increased mortality risk. Therefore, a comprehensive approach to VAP diagnosis requires consideration of initial empiric antibiotic administration.
Whenever possible, clinicians should obtain a lower respiratory tract sample for microscopy and culture before administering antibiotics because performing cultures after antibiotics have been recently started will lead to a higher rate of false‐negative results.76 Unless the patient has no signs of sepsis and microscopy is completely negative, clinicians should then immediately start empiric broad‐spectrum antibiotics.57 Once the culture sensitivities are known, therapy can be deescalated to a narrower spectrum.77 Recent studies suggest that shorter durations of therapy (8 days) are as effective as longer courses and are associated with lower colonization rates by antibiotic‐resistant bacteria.62, 78
Initial broad‐spectrum antibiotics should be chosen based on local bacteriology and resistance patterns. Clinicians must remain aware of the most common bacterial pathogens in their local community, hospital, and ICU. This is essential for both ensuring adequate initial antibiotic coverage and reducing overall antibiotic days.65 Unrestrained use of broad‐spectrum antibiotics increases the risk of resistant pathogens. Clinicians must continually deescalate therapy and use narrow‐spectrum drugs as pathogens are identified.79
Prevention of VAP
In 2005, the American Thoracic Society published guidelines for the management of adults with VAP.5 These guidelines included a discussion of modifiable risk factors for preventing VAP and used an evidence‐based grading system to rank the various recommendations. The highest evidence (level 1) comes from randomized clinical trials, moderate evidence (level 2) comes from nonrandomized studies, and the lowest evidence (level 3) comes from case studies or expert opinion. Others have also published their own guidelines and recommendations for preventing VAP.8082 Table 4 shows the key VAP preventive strategies.
Strategy | Level of evidence | References |
---|---|---|
| ||
General infection control measures (hand hygiene, staff education, isolate MDR pathogens, etc.) | 1 | 2,83,84 |
ICU infection surveillance | 2 | 2,8385 |
Avoid reintubation if possible, but promptly reintubate if a patients inexorably fails extubation | 1 | 2,83,86,87 |
Use NPPV when appropriate (in selected patients) | 1 | 88 |
Use oral route for endotracheal and gastric tubes (vs. nasal route) | 2 | 89 |
Continuous suctioning of subglottic secretions (to avoid pooling on cuff and leakage into LRT) | 1 | 9092 |
Maintain endotracheal cuff pressure > 20 cm H2O (to prevent secretion leakage into LRT) | 2 | 93 |
Avoid unnecessary ventilator circuit changes | 1 | 94 |
Routinely empty condensate in ventilator circuit | 2 | 95 |
Maintain adequate nursing and therapist staffing | 2 | 9698 |
Implement ventilator weaning and sedation protocols | 2 | 99101 |
Semierect patient positioning (vs. supine) | 1 | 102 |
Avoid aspiration when using enteral nutrition | 1 | 103,104 |
Topical oral antisepsis (eg, chlorhexidine) | 1 | 105108 |
Control blood sugar with insulin | 1 | 109 |
Use heat‐moisture exchanger (vs. conventional humidifier) to reduce tubing condensate | 1 | 95 |
Avoid unnecessary red blood cell transfusions | 1 | 110 |
Use of sucralfate for GI prophylaxis | 1 | 111,112 |
Influenza vaccination for health care workers | 2 | 2 |
Some strategies are not recommended for VAP prevention in general ICU patients. Selective decontamination of the digestive tract (ie, prophylactic oral antibiotics) has been shown to reduce respiratory infections in ICU patients,113 but its overall role remains controversial because of concerns it may increase the incidence of multi‐drug‐resistant pathogens.114 Similarly, prophylactic intravenous antibiotics administered at the time of intubation can reduce VAP in certain patient populations,115 but this strategy is also associated with an increased risk of antibiotic‐resistant nosocomial infections.116 Using kinetic beds and scheduled chest physiotherapy to reduce VAP is based on the premise that critically ill patients often develop atelectasis and cannot effectively clear their secretions. Unfortunately, neither of these modalities has been shown to consistently reduce VAP in medical ICU patients.117119
Algorithms for Diagnosis and Treatment of VAP
We present algorithms for diagnosing VAP in 4 ICU populations: infant (1 year old), pediatric (1‐12 years old), immunocompromised, and adult ICU patients (Figs. 14). Because clinicians face considerable uncertainty when diagnosing VAP, we sought to develop practical algorithms for use in daily ICU practice. Although we provided the algorithms to collaborative participants as a tool for improving care, we never mandated use, and we did not monitor levels of adherence.
Five teaching cases are presented in the Appendix. We demonstrate how to utilize the diagnostic algorithms in these clinical scenarios and offer tips for clinicians wishing to employ these tools in their daily practice. These cases are useful for educating residents, nurses, and hospitalists.
Overall, our intent is that the combined use of these VAP algorithms facilitate a streamlined diagnostic approach and minimize delays in initial antibiotic administration. A primary focus of any VAP guideline should be early and appropriate antibiotics in adequate doses, with deescalation of therapy as culture data permit.5 In general, the greatest risk to a patient with VAP is delaying initial adequate antibiotic coverage, and for this reason, antibiotics must always be administered promptly. However, if culture data are negative, the clinician should consider withdrawing unnecessary antibiotics. For example, the absence of gram‐positive organisms on BAL after 72 hours would strongly suggest that MRSA is not playing a role and that vancomycin can be safely stopped. We agree with Neiderman that the decision point is not whether to start antibiotics, but whether to continue them at day 23.57
DISCUSSION
In this article, we introduce algorithms for diagnosing and managing VAP in infant, pediatric, immunocompromised, and adult ICU patients. We developed 4 algorithms because the hospitals in our system care for a wide range of patients. Our definitions for VAP were based on criteria outlined by the CDC because these rigorously developed criteria have been widely disseminated as components of the Institute for Healthcare Improvement's ventilator bundle.120 Clinicians should be able to easily incorporate these practical algorithms into their current practice.
The algorithms were developed during a collaborative across a large national health care system. We undertook this task because many clinicians were uncertain how to integrate the enormous volume of VAP literature into their daily practice, and we suspected there was large variation in practice in our ICUs. Recent studies from other health care systems provided empiric evidence to support this notion.12, 13
We offer these algorithms as practical tools to assist ICU clinicians and not as proscriptive mandates. We realize that the algorithms may need modification based on a hospital's unique bacteriology and patient populations. We also anticipate that the algorithms will adapt to future changes in VAP epidemiology, preventive strategies, emerging pathogens, and new antibiotics.
Numerous resources are available to learn more about VAP management. An excellent guideline from the Infectious Diseases Society of America and the American Thoracic Society discusses VAP issues in detail,5 although this guideline only focuses on immunocompetent adult patients. The journal Respiratory Care organized an international conference with numerous VAP experts in 2005 and subsequently devoted an entire issue to this topic.81 The Canadian Critical Care Trials Group and the Canadian Critical Care Society conducted systematic reviews and developed separate guidelines for the prevention, diagnosis, and treatment of VAP.80, 121
In summary, we present diagnostic and treatment algorithms for VAP. Our intent is that these algorithms may provide evidence‐based practical guidance to clinicians seeking a standardized approach to diagnosing and managing this challenging problem.
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- Cost‐effectiveness issues in ventilator‐associated pneumonia.Respir Care.2005;50:956–963; discussion 963–964. .
- Diagnosis and treatment of ventilator‐associated pneumonia: fiberoptic bronchoscopy with bronchoalveolar lavage is essential.Semin Respir Crit Care Med.2006;27:34–44. .
- A randomized trial of diagnostic techniques for ventilator‐associated pneumonia.N Engl J Med.2006;355:2619–2630. , , , .
- Clinical characteristics and treatment patterns among patients with ventilator‐associated pneumonia.Chest.2006;129:1210–1218. , , , et al.
- Prevention and diagnosis of ventilator‐associated pneumonia: a survey on current practices in Southern Spanish ICUs.Chest.2005;128:1667–1673. , , , .
- Why don't physicians follow clinical practice guidelines? A framework for improvement.JAMA.1999;282:1458–1465. , , , et al.
- Why do physicians not follow evidence‐based guidelines for preventing ventilator‐associated pneumonia?: a survey based on the opinions of an international panel of intensivists.Chest.2002;122:656–661. , , , , , .
- Invitation to a dialogue between researchers and clinicians about evidence‐based behavioral medicine.Ann Behav Med.2005;30:125–137. , , , et al.
- Connections between quality measurement and improvement.Med Care.2003;41:I30–I38. , , .
- Practice guidelines developed by specialty societies: the need for a critical appraisal.Lancet.2000;355:103–106. , , , , .
- Agency for Healthcare Research and Quality (AHRQ). Partnerships in Implementing Patient Safety. Online at http://www.ahrq.gov/qual/pips.htm. Accessed March 1,2007.
- The utility of open lung biopsy in patients requiring mechanical ventilation.Chest.1999;115:811–817. , .
- The microbiology of ventilator‐associated pneumonia.Respir Care.2005;50:742–763; discussion 763–765. .
- Ventilator‐associated pneumonia.Am J Respir Crit Care Med.2002;165:867–903. , .
- Overview of nosocomial infections caused by gram‐negative bacilli.Clin Infect Dis.2005;41:848–854. , .
- Increasing prevalence of antimicrobial resistance in intensive care units.Crit Care Med.2001;29:N64–N68. .
- Incidence and outcome of polymicrobial ventilator‐associated pneumonia.Chest.2002;121:1618–1623. , , , et al.
- Nosocomial transmission of influenza.Occup Med (Lond).2002;52:249–253. , , .
- Nosocomial influenza at a Canadian pediatric hospital from 1995 to 1999: opportunities for prevention.Infect Control Hosp Epidemiol.2002;23:627–629. , .
- Nosocomial influenza infection as a cause of intercurrent fevers in infants.Pediatrics.1975;55:673–677. ,
- Nosocomial influenza infection.Lancet.2000;355:1187. , .
- Nosocomial influenza B virus infection in the elderly.Ann Intern Med.1982;96:153–158. , , .
- Influenza vaccination of healthcare workers and vaccine allocation for healthcare workers during vaccine shortages.Infect Control Hosp Epidemiol.2005;26:882–890. , , , , , .
- Herpes simplex virus in the respiratory tract of critical care patients: a prospective study.Lancet.2003;362:1536–1541. , , , et al.
- Significance of the isolation of Candida species from respiratory samples in critically ill, non‐neutropenic patients. An immediate postmortem histologic study.Am J Respir Crit Care Med.1997;156:583–590. , , , et al.
- The role of Candida sp isolated from bronchoscopic samples in nonneutropenic patients.Chest.1998;114:146– 149. , , , , , .
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Physician Assistant/Hospitalist Service
Midlevel providers (physician assistants and nurse practitioners) have long been employed by academic medical centers, predominantly on surgical services, or on medical subspecialty services, where they have typically had a limited scope of practice, focused in a narrowly defined area or set of procedures.17 In contrast, there are relatively few reports of experiences deploying midlevel providers to replace house staff on inpatient general medicine services in academic centers,810 and few studies of the effect of midlevel providers on quality and efficiency of care in the academic setting. Despite this, reductions in house officer duty hours as mandated by the Accreditation Council on Graduate Medical Education (ACGME)11 have resulted in academic centers increasingly using midlevel providers to decrease house staff workload on inpatient services.12, 13 In general, midlevel practitioners on general medicine services have been deployed to: (1) care for a population of patients separate from and in parallel with house staff; this population may be narrowly defined (eg, patients with chest pain) or not; (2) assist with the management of patients cared for by house staff by performing certain tasks (eg, scheduling appointments, discharging patients). Even as midlevel providers become more prevalent on academic general medicine services, the best model of care incorporating them into clinical care remains unclear, and few studies have rigorously examined the care provided on services that use them.
We developed an inpatient general medicine service within a large academic medical center staffed by physician assistants and hospitalists to help our residency program meet ACGME duty hour requirements. We hypothesized that by creating a service that is geographically localized and supervised by full‐time hospitalists, by instituting multidisciplinary rounds, and by investing in the professional development of highly‐skilled physician assistants, we could provide care for medically complex, acutely ill general medicine inpatients with similar quality and efficiency as compared to house staff teams. We report our experience during the first year of implementing the service, and compare quality and efficiency of care on this service with that of our traditional house staff services. We also evaluate the effects of this service on patient satisfaction and self‐reported house staff workload.
PATIENTS AND METHODS
Study Setting
The study was conducted in a 747‐bed urban, academic medical center in the northeastern United States. The hospital's human research committee reviewed and approved the study design. The hospital has accredited residency and fellowship programs in all major specialties. Prior to July 2005, physician assistants were employed only on surgical and medical subspecialty services (ie, bone marrow transplant, interventional cardiology); none were employed on the inpatient general medicine service. There were approximately 44,000 inpatient admissions during the year of the study, with approximately 6500 of these to the general medicine service.
Description of the General Medicine Service
The General Medicine Service consisted of 8 traditional house staff teams, with 1 attending, 1 junior or senior resident, 2 interns, and 1 or 2 medical students. These teams admitted patients on a rotating basis every fourth day. On 4 of these teams, the attending was a hospitalist, with clinical responsibility for the majority of the patients admitted to the team. On the remaining 4 teams, the teaching attending was a primary care physician or medical subspecialist, responsible for the direct care of a small number of the team's patients, with the remainder cared for by private primary care physicians or subspecialists.
Description of the Physician Assistant/Hospitalist Service
The Physician Assistant/Clinician Educator (PACE) service opened in July 2005, and consisted of 15 beds localized to 2 adjacent inpatient pods, staffed by a single cadre of nurses and medically staffed by 1 hospitalist and 2 physician assistants from 7:00 AM to 7:00 PM on weekdays and by 1 hospitalist, 1 physician assistant, and 1 moonlighter (usually a senior medical resident or fellow) from 7:00 AM to 7:00 PM on weekends. A moonlighter, typically a senior resident or medical subspecialty fellow, admitted patients and covered nights on the service from 7:00 PM to 7:00 AM 7 days a week. The daily census goal for the service was 15 patients, limited by the number of available beds on the 2 pods, and the service accepted admissions 24 hours per day, 7 days per week, whenever beds were available. Daily morning rounds occurred at 8:00 AM and included the hospitalist, physician assistants, nurses, a care coordinator, and a pharmacist. The PACE service did not have triage guidelines related to diagnosis, complexity, or acuity, but only accepted patients via the emergency department or via a primary care physician's office, and did not accept patients transferred from outside hospitals or from the intensive care units.
Physician Assistants
All of the physician assistants on the PACE service had prior inpatient medicine experience, ranging from 6 months to 5 years. The physician assistants worked in 3‐day to 6‐day blocks of 12‐hour shifts. Their clinical responsibilities were similar to those of interns at the study hospital, and included taking histories and performing physical examinations, writing notes and orders, reviewing and assimilating data, creating and updating patient signouts, completing discharge summaries, consulting other services as needed, and communicating with nurses and family members.
Many physician assistants also had nonclinical responsibilities, taking on physician‐mentored roles in education, quality improvement, and administration. They were involved in several initiatives: (1) developing a physician assistant curriculum in hospital medicine, (2) presenting at hospital‐wide physician assistant grand rounds, (3) surveying and tracking patient and family satisfaction on the service, (4) reviewing all 72‐hour hospital readmissions, intensive care unit transfers, and deaths on the service, and (5) maintaining the service's compliance with state regulations regarding physician assistant scope of practice and prescribing.
Hospitalists
The 3 hospitalists on the PACE service worked in 7‐day blocks of 12‐hour shifts (7:00 AM to 7:00 PM). They directly supervised the physician assistants and had no competing responsibilities. The hospitalists were all recent graduates of the study hospital's internal medicine residency, with no prior clinical experience beyond residency. All were planning to work on the service for 1 to 2 years before beginning a subspecialty fellowship. In addition to supervising the clinical work of the physician assistants, the hospitalists were responsible for teaching the physician assistants on rounds and in weekly didactic sessions, guided by a curriculum in hospital medicine that focused on the most common general medicine diagnoses seen on the PACE service. The medical director of the PACE service periodically reviewed each physician assistant's clinical experience, skills and knowledge base, and held semiannual feedback sessions.
Study Patients
All general medicine patients admitted to the PACE service from July 1, 2005 to June 30, 2006 comprised the study population. The comparison group consisted of general medicine patients admitted to the 8 house staff general medicine teams; patients transferred from an intensive care unit (ICU) or another facility were excluded in order to match the admission criteria for the PACE service and improve comparability between the 2 study arms.
Data Collection and Study Outcomes
We obtained all patient data from the hospital's administrative databases. We identified patients assigned to the PACE service or to the comparison group based on the admitting service, team, and attending. We obtained patient demographics, insurance, admission source and discharge destination, admission and discharge times, dates, diagnoses, and diagnosis‐related groups (DRGs), as well as dates and times of transfers to other services, including to the intensive care unit. We also obtained the Medicare case‐mix index (CMI, based on DRG weight), and calculated a Charlson score based on billing diagnoses coded in the year prior to the index admission.14 Outcomes included length of stay (LOS) to the nearest hour, in‐hospital mortality, transfers to the intensive care unit, readmissions to the study hospital within 72 hours, 14 days, and 30 days, and total costs as derived from the hospital's cost accounting system (Transition Systems Inc., Boston, MA). Other outcomes included patient satisfaction as measured by responses to the Press‐Ganey survey routinely administered to a randomly selected 70% of recently discharged patients and effect on self‐reported resident work hours.
Statistical Analysis
Patient demographics, clinical characteristics, and study outcomes are presented using proportions, means with standard deviations, and medians with inter‐quartile ranges as appropriate. Unadjusted differences in outcomes between the two services were calculated using univariable regression techniques with service as the independent variable and each outcome as the dependent variable. We used logistic regression for dichotomous outcomes (readmissions, ICU transfers, and inpatient mortality), and linear regression for log‐transformed LOS and log‐transformed total costs of care. To adjust each outcome for potential confounders, we then built multivariable regression models. Each potential confounder was entered into the model one at a time as the independent variable. All variables found to be significant predictors of the outcome at the P < 0.10 level were then retained in the final model along with service as the predictor of interest. We used general estimating equations in all multivariable models to adjust for clustering of patients by attending physician. For logistic regression models, the effect size is presented as an odds ratio (OR); for log‐transformed linear regression models, the effect size is presented as the percent difference between groups. We also performed 2 subgroup analyses, limited to (1) the patients with the 10 most common discharge DRGs, and (2) patients admitted between the hours of 7:00 AM and 7:00 PM to remove the effects of moonlighters performing the initial admission. Except as noted above, 2‐sided P values < 0.05 were considered significant. SAS 9.1 (SAS Institute, Cary, NC) was used for all analyses.
RESULTS
Patient Demographics
Table 1 shows patient demographics and clinical characteristics of the PACE service and the comparison group. Patients in the comparison group were slightly older and tended to have slightly higher CMI and Charlson scores. Patients on the PACE service were more likely to be admitted at night (10:00 PM to 7:00 AM; 43.8% versus 30.3%; P < 0.0001). There were no significant differences in sex, race, insurance, or percentage of patients discharged to home. The 10 most common DRGs in the comparison group accounted for 37.0% of discharges, and these same DRGs accounted for 37.5% of discharges on the PACE service (Table 2).
Characteristic | PACE Service (n = 992) | House Staff Services (n = 4,202) | P value |
---|---|---|---|
| |||
Age (years) | |||
1844 | 19.1 | 18.2 | |
4564 | 35.5 | 31.9 | 0.04 |
65+ | 45.5 | 49.9 | |
Sex (% female) | 57.7 | 60.0 | NS |
Race/ethnicity | |||
White | 57.3 | 59.3 | |
Black | 24.0 | 23.5 | NS |
Hispanic | 14.1 | 13.3 | |
Other | 4.6 | 3.9 | |
Insurance | |||
Medicare | 41.9 | 43.8 | |
Commercial | 34.9 | 35.9 | |
Medicaid | 14.4 | 11.7 | NS |
Free care | 4.5 | 3.9 | |
Self pay | 1.1 | 0.8 | |
Median income by zip code of residence, USD (IQR) | 45,517 (32,49362,932) | 45,517 (35,88963,275) | NS |
Case‐mix index, median (IQR) | 1.1 (0.81.5) | 1.2 (0.91.8) | 0.001 |
Charlson score | |||
0 | 27.2 | 24.9 | |
1 | 22.6 | 21.1 | 0.02 |
2 | 16.2 | 16.5 | |
3+ | 34.0 | 37.6 | |
Admissions between 10:00 PM and 7:00 AM | 43.8 | 30.3 | <0.0001 |
Discharged to home | 81.1 | 80.5 | NS |
Diagnosis‐Related Group at Discharge | PACE Service (n = 992)* | House Staff Services (n = 4,202)* |
---|---|---|
| ||
Chest pain | 5.4 | 6.4 |
Esophagitis, gastroenteritis, and miscellaneous digestive disorders | 4.5 | 4.4 |
Heart failure and shock | 3.4 | 4.6 |
Simple pneumonia and pleurisy | 2.7 | 4.4 |
Kidney and urinary tract infections | 4.7 | 3.2 |
Chronic obstructive pulmonary disease | 4.0 | 3.3 |
Renal failure | 2.7 | 3.5 |
Gastrointestinal hemorrhage | 3.7 | 2.7 |
Nutritional and miscellaneous metabolic disorders | 3.3 | 2.4 |
Disorders of the pancreas except malignancy | 3.1 | 2.1 |
Cumulative percent | 37.5 | 37.0 |
Efficiency and Quality of Care
Table 3 compares the performance of the PACE service and the comparison group on several efficiency and quality measures. Unadjusted LOS was not significantly different, and adjusted LOS was slightly but not statistically significantly higher on the study service (adjusted LOS 5.0% higher; 95% confidence interval [CI], 0.4% to +10%). Unadjusted and adjusted total costs of care were marginally lower on the study service (adjusted total cost of care 3.9% lower; 95% CI, 7.5% to 0.3%).
PACE Service | House Staff Services | Unadjusted % Difference (95%CI) | Adjusted % Difference (95%CI)* | |
---|---|---|---|---|
PACE Service | House Staff Services | Unadjusted OR (95% CI) | Adjusted OR (95% CI) | |
| ||||
Efficiency measure | ||||
Length of stay, days, median (IQR) | 2.6 (1.6, 4.4) | 2.6 (1.4, 4.6) | +0.1% (5.6% to +6.1%) | +5.0% (0.4% to +10.0%) |
Total costs, USD, median (IQR) | 4,536 (2,848, 7,201) | 4,749 (3,046, 8,161) | 9.1% (14.0% to 3.8%) | 3.9% (7.5% to 0.3%)‖ |
Quality measure | ||||
72‐hour readmissions/100 discharges | 0.8 | 1.3 | 0.6 (0.31.3) | 0.7 (0.21.8) |
14‐day readmissions/100 discharges | 5.4 | 5.4 | 1.0 (0.71.4) | 1.1 (0.81.4) |
30‐day readmissions/100 discharges | 8.0 | 8.1 | 1.0 (0.81.3) | 1.1 (0.91.3) |
ICU transfers/100 discharges | 2.0 | 2.3 | 0.9 (0.51.4) | 1.4 (0.82.4)# |
Inpatient mortality/100 discharges | 0.7 | 1.2 | 0.6 (0.31.3) | 0.8 (0.31.8)** |
We found no differences between the PACE service and comparison group in unadjusted rates of hospital readmissions within 72 hours, 14 days, and 30 days, transfer to the intensive care units, or inpatient mortality (Table 3). The associated ORs for each outcome were similar after adjusting for patient demographics and clinical characteristics including severity of illness, as well as for clustering by attending physician.
Subgroup Analyses
When the analysis was limited to the subset of patients with the 10 most common discharge DRGs, the difference in adjusted total cost of care was similar but lost statistical significance (4.0% lower on PACE service; 95% CI, 11.0% to +3.3%). In this subgroup, LOS, readmission rates, and ICU transfer rates were not different. ORs for mortality could not be calculated because there were no deaths in this subgroup on the PACE service (data not shown). When analysis was limited to daytime admissions (to remove any potential effect of admitting by a moonlighter), the difference in total cost of care was attenuated and lost statistical significance (0.2% lower on PACE service; 95%CI, 5.9% to +5.5%). No differences were seen in LOS, mortality, and ICU transfers (data not shown). However, 14‐day readmissions (but not 72‐hour or 30‐day readmissions) were lower on the PACE service (OR, 0.49; 95% CI, 0.25‐0.93).
Patient Satisfaction
Patients were similarly satisfied with their care on the PACE service and on the house staff services. In specific areas and globally, percentages of patients satisfied with their physicians and with the discharge process were not different, as measured by the Press‐Ganey survey (Press‐Ganey Associates, South Bend, IN; Figures 1 and 2). The survey distinguishes between attendings and residents, but not physician assistants; therefore, Figure 1 only includes responses to the attending questions. Given the sampling procedure of the Press‐Ganey survey, exact response rates cannot be calculated, but Press‐Ganey reports a response rate of about 40% for the English survey and about 20% for the Spanish survey.


Resident Duty Hours
Comparing the same month 1 year prior to implementation of the PACE service, mean self‐reported resident duty hours on the general medicine service were unchanged; however, self‐reported data were incomplete, and multiple changes took place in the residency program during the study period. For example, implementation of the PACE service allowed for the dissolution of one full house staff general medicine team and redistribution of these house staff to night float positions and an expanded medical intensive care unit.
Costs of Implementation
The costs associated with implementing the PACE service included physician and physician assistant salaries (2.5 full‐time physicians, 5 full‐time physician assistants, plus fringe) and night coverage by resident and fellow moonlighters (without fringe, and estimated at 50% effort given other moonlighter coverage responsibilities on subspecialty services). We estimated these costs at $257.50/patient‐day ($115/patient‐day for attending physician compensation, $110/patient‐day for physician assistant compensation, and $32.50/patient‐day for moonlighting coverage).
DISCUSSION
As academic centers struggle with developing a workforce to provide patient care no longer provided by residents, questions about the ideal structure of nonhouse staff inpatient services abound. Although solutions to this problem will be determined to some extent by local factors such as institutional culture and resources, some lessons learned in developing such services will be more widely applicable. We found that by implementing a geographically localized, physician assistant‐staffed hospitalist service, we were able to provide care of similar quality and efficiency to that of traditional house staff services, despite inexperienced hospitalists staffing the service and a medical residency program commonly recognized as one of the best in the country. Adjusted total costs were slightly lower on the PACE service, but this difference was small and of borderline statistical significance. Likewise, no significant differences were seen in any of several quality measures or in patient satisfaction.
Our findings add to the available evidence supporting the use of physician assistants on academic general medicine services, and are germane to academic centers facing reductions in house staff availability and seeking alternative models of care for inpatients. Several specific characteristics of the PACE service and the implications of these should be considered:
The service accepted all patients, regardless of diagnosis, acuity, or complexity of illness. This was unlike many previously described nonhouse staff services which were more limited in scope, and allowed more flexibility with patient flow. However, in the end, patients on the PACE service did have a modestly lower case mix index and Charlson score, suggesting that, despite a lack of triage guidelines, there was some bias in the triage of admissions, possibly due to a perception that physician assistants should take care of lower complexity patients. If it is desirable to have a similar distribution of higher complexity patients across house staff and nonhouse staff services, extra efforts may be necessary to overcome this perception.
The service was geographically regionalized. Geographic regionalization offered many important advantages, especially with regards to communication among staff, nursing, and consultants, and allowed for multidisciplinary rounds. However, it is possible that the modest, but not statistically significant, trend toward an increased LOS seen on the PACE service might be a reflection of geographic admitting (less incentive to discharge since discharging a patient means taking a new admission).
The education and professional development of the physician assistants was a priority. Physician assistants had considerable autonomy and responsibility, and rather than being assigned only lower level administrative tasks, performed all aspects of patient care. They also received regular teaching from the hospitalists, attended house staff teaching conferences, and developed nonclinical roles in education and quality improvement. The higher standards expected of the physician assistants were quite possibly a factor in the quality of care delivered, and almost certainly contributed to physician assistant satisfaction and retention.
Our findings contrast with those of Myers et al.,9 who found that a nonteaching service staffed by hospitalists and nurse practitioners had a significantly lower median LOS and hospital charges compared to similar patients on resident‐based services. However, unlike ours, their service cared for a select patient population, and only accepted patients with chest pain at low risk for acute coronary syndrome. Van Rhee et al.10 found that physician assistants on a general medicine service used fewer resources for patients with pneumonia, stroke, and congestive heart failure than resident physicians, and did not exceed the resources used by residents in other diagnoses. The authors did not find a difference in LOS, but did find a significantly higher mortality among patients with pneumonia cared for by physician assistants.
Several limitations should be noted. First, the study was a retrospective analysis of administrative data rather than a randomized trial, and although we employed a standard approach to adjust for a wide range of patient characteristics including severity of illness, there may have been undetected differences in the patient populations studied that may have confounded our results. Second, resident moonlighters admitted patients to the PACE service and, at other times, to the house staff services, and this may have diluted any differences between the groups. However, when we limited our analysis to the subgroup of patients admitted during the day, similar results were obtained, with the exception that the PACE service had a lower rate of 14‐day readmissions, an unexpected finding deserving of further study. Third, the study was conducted in a single academic institution and our findings may not be generalizable to others with different needs and resources; indeed, the costs associated with implementing such a service may be prohibitive for some institutions. Fourth, because of simultaneous changes that were taking place in our residency program, we are unable to accurately assess the impact of the PACE service on resident duty hours. However, resident duty hours did not increase over this time period on the general medicine service, and implementation of the service allowed for redistribution of house staff to other services and positions. Fifth, patient satisfaction data were obtained from responses to the mailed Press‐Ganey survey, to which there is a relatively low response rate. Also, we did not survey providers regarding their satisfaction with the service during the study period. Sixth, the study had limited power to detect clinically important differences in mortality and ICU transfers. Finally, this study is unable to compare this particular model of incorporating midlevel providers into general medical services with other models, only with traditional house staff services.
Future research should focus on determining the most effective and efficient ways to incorporate midlevel providers on academic general medicine services. One important question from the standpoint of house staff training is whether such services should be separate but equal, or should house staff gain experience during residency working with midlevel providers, since they are likely to encounter them in the future whether they stay in academics or not. Different models of care will likely have large implications for the quality and efficiency of patient care, house staff education and satisfaction, and physician assistant job satisfaction and turnover.
In summary, our study demonstrates that a geographically regionalized, multidisciplinary service staffed by hospitalists and physician assistants can be a safe alternative to house staff‐based services for the care of general medicine inpatients in an academic medical center.
- The physician's assistant as resident on surgical service. An example of creative problem solving in surgical manpower.Arch Surg.1980;115:310–314. , , , , , .
- Coronary arteriography performed by a physician assistant.Am J Cardiol.1987;60:784–787. , , , .
- The specialized physician assistant: an alternative to the clinical cardiology trainee.Am J Cardiol.1987;60:901–902. .
- One hospital's successful 20‐year experience with physician assistants in graduate medical education.Acad Med.1999;74:641–645. , , .
- Physicians assistants in cardiothoracic surgery: a 30‐year experience in a university center.Ann Thorac Surg.2006;81:195–199; discussion 199–200. , .
- Comparative review of use of physician assistants in a level I trauma center.Am Surg.2004;70:272–279. , , .
- Integrating midlevel practitioners into a teaching service.Am J Surg.2006;192:119–124. , , , , .
- Acute care nurse practitioners: creating and implementing a model of care for an inpatient general medical service.Am J Crit Care.2002;11:448–458. , .
- Improving resource utilization in a teaching hospital: development of a nonteaching service for chest pain admissions.Acad Med.2006;81:432–435. , , , , .
- Resource use by physician assistant services versus teaching services.JAAPA.2002;15:33–38. , , .
- for the ACGME Work Group on Resident Duty Hours, Accreditation Council for Graduate Medical Education.New requirements for resident duty hours.JAMA.2002;288:1112–1114. , , ,
- The substitution of physician assistants and nurse practitioners for physician residents in teaching hospitals.Health Aff.1995;14:181–191. , , .
- Challenges of the 80‐hour resident work rules: collaboration between surgeons and nonphysician practitioners.Surg Clin North Am.2004;84:1573–1586. , , , , .
- Adapting a clinical comorbidity index for use with ICD‐9‐CM administrative databases.J Clin Epidemiol.1992;45:613–619. , , .
Midlevel providers (physician assistants and nurse practitioners) have long been employed by academic medical centers, predominantly on surgical services, or on medical subspecialty services, where they have typically had a limited scope of practice, focused in a narrowly defined area or set of procedures.17 In contrast, there are relatively few reports of experiences deploying midlevel providers to replace house staff on inpatient general medicine services in academic centers,810 and few studies of the effect of midlevel providers on quality and efficiency of care in the academic setting. Despite this, reductions in house officer duty hours as mandated by the Accreditation Council on Graduate Medical Education (ACGME)11 have resulted in academic centers increasingly using midlevel providers to decrease house staff workload on inpatient services.12, 13 In general, midlevel practitioners on general medicine services have been deployed to: (1) care for a population of patients separate from and in parallel with house staff; this population may be narrowly defined (eg, patients with chest pain) or not; (2) assist with the management of patients cared for by house staff by performing certain tasks (eg, scheduling appointments, discharging patients). Even as midlevel providers become more prevalent on academic general medicine services, the best model of care incorporating them into clinical care remains unclear, and few studies have rigorously examined the care provided on services that use them.
We developed an inpatient general medicine service within a large academic medical center staffed by physician assistants and hospitalists to help our residency program meet ACGME duty hour requirements. We hypothesized that by creating a service that is geographically localized and supervised by full‐time hospitalists, by instituting multidisciplinary rounds, and by investing in the professional development of highly‐skilled physician assistants, we could provide care for medically complex, acutely ill general medicine inpatients with similar quality and efficiency as compared to house staff teams. We report our experience during the first year of implementing the service, and compare quality and efficiency of care on this service with that of our traditional house staff services. We also evaluate the effects of this service on patient satisfaction and self‐reported house staff workload.
PATIENTS AND METHODS
Study Setting
The study was conducted in a 747‐bed urban, academic medical center in the northeastern United States. The hospital's human research committee reviewed and approved the study design. The hospital has accredited residency and fellowship programs in all major specialties. Prior to July 2005, physician assistants were employed only on surgical and medical subspecialty services (ie, bone marrow transplant, interventional cardiology); none were employed on the inpatient general medicine service. There were approximately 44,000 inpatient admissions during the year of the study, with approximately 6500 of these to the general medicine service.
Description of the General Medicine Service
The General Medicine Service consisted of 8 traditional house staff teams, with 1 attending, 1 junior or senior resident, 2 interns, and 1 or 2 medical students. These teams admitted patients on a rotating basis every fourth day. On 4 of these teams, the attending was a hospitalist, with clinical responsibility for the majority of the patients admitted to the team. On the remaining 4 teams, the teaching attending was a primary care physician or medical subspecialist, responsible for the direct care of a small number of the team's patients, with the remainder cared for by private primary care physicians or subspecialists.
Description of the Physician Assistant/Hospitalist Service
The Physician Assistant/Clinician Educator (PACE) service opened in July 2005, and consisted of 15 beds localized to 2 adjacent inpatient pods, staffed by a single cadre of nurses and medically staffed by 1 hospitalist and 2 physician assistants from 7:00 AM to 7:00 PM on weekdays and by 1 hospitalist, 1 physician assistant, and 1 moonlighter (usually a senior medical resident or fellow) from 7:00 AM to 7:00 PM on weekends. A moonlighter, typically a senior resident or medical subspecialty fellow, admitted patients and covered nights on the service from 7:00 PM to 7:00 AM 7 days a week. The daily census goal for the service was 15 patients, limited by the number of available beds on the 2 pods, and the service accepted admissions 24 hours per day, 7 days per week, whenever beds were available. Daily morning rounds occurred at 8:00 AM and included the hospitalist, physician assistants, nurses, a care coordinator, and a pharmacist. The PACE service did not have triage guidelines related to diagnosis, complexity, or acuity, but only accepted patients via the emergency department or via a primary care physician's office, and did not accept patients transferred from outside hospitals or from the intensive care units.
Physician Assistants
All of the physician assistants on the PACE service had prior inpatient medicine experience, ranging from 6 months to 5 years. The physician assistants worked in 3‐day to 6‐day blocks of 12‐hour shifts. Their clinical responsibilities were similar to those of interns at the study hospital, and included taking histories and performing physical examinations, writing notes and orders, reviewing and assimilating data, creating and updating patient signouts, completing discharge summaries, consulting other services as needed, and communicating with nurses and family members.
Many physician assistants also had nonclinical responsibilities, taking on physician‐mentored roles in education, quality improvement, and administration. They were involved in several initiatives: (1) developing a physician assistant curriculum in hospital medicine, (2) presenting at hospital‐wide physician assistant grand rounds, (3) surveying and tracking patient and family satisfaction on the service, (4) reviewing all 72‐hour hospital readmissions, intensive care unit transfers, and deaths on the service, and (5) maintaining the service's compliance with state regulations regarding physician assistant scope of practice and prescribing.
Hospitalists
The 3 hospitalists on the PACE service worked in 7‐day blocks of 12‐hour shifts (7:00 AM to 7:00 PM). They directly supervised the physician assistants and had no competing responsibilities. The hospitalists were all recent graduates of the study hospital's internal medicine residency, with no prior clinical experience beyond residency. All were planning to work on the service for 1 to 2 years before beginning a subspecialty fellowship. In addition to supervising the clinical work of the physician assistants, the hospitalists were responsible for teaching the physician assistants on rounds and in weekly didactic sessions, guided by a curriculum in hospital medicine that focused on the most common general medicine diagnoses seen on the PACE service. The medical director of the PACE service periodically reviewed each physician assistant's clinical experience, skills and knowledge base, and held semiannual feedback sessions.
Study Patients
All general medicine patients admitted to the PACE service from July 1, 2005 to June 30, 2006 comprised the study population. The comparison group consisted of general medicine patients admitted to the 8 house staff general medicine teams; patients transferred from an intensive care unit (ICU) or another facility were excluded in order to match the admission criteria for the PACE service and improve comparability between the 2 study arms.
Data Collection and Study Outcomes
We obtained all patient data from the hospital's administrative databases. We identified patients assigned to the PACE service or to the comparison group based on the admitting service, team, and attending. We obtained patient demographics, insurance, admission source and discharge destination, admission and discharge times, dates, diagnoses, and diagnosis‐related groups (DRGs), as well as dates and times of transfers to other services, including to the intensive care unit. We also obtained the Medicare case‐mix index (CMI, based on DRG weight), and calculated a Charlson score based on billing diagnoses coded in the year prior to the index admission.14 Outcomes included length of stay (LOS) to the nearest hour, in‐hospital mortality, transfers to the intensive care unit, readmissions to the study hospital within 72 hours, 14 days, and 30 days, and total costs as derived from the hospital's cost accounting system (Transition Systems Inc., Boston, MA). Other outcomes included patient satisfaction as measured by responses to the Press‐Ganey survey routinely administered to a randomly selected 70% of recently discharged patients and effect on self‐reported resident work hours.
Statistical Analysis
Patient demographics, clinical characteristics, and study outcomes are presented using proportions, means with standard deviations, and medians with inter‐quartile ranges as appropriate. Unadjusted differences in outcomes between the two services were calculated using univariable regression techniques with service as the independent variable and each outcome as the dependent variable. We used logistic regression for dichotomous outcomes (readmissions, ICU transfers, and inpatient mortality), and linear regression for log‐transformed LOS and log‐transformed total costs of care. To adjust each outcome for potential confounders, we then built multivariable regression models. Each potential confounder was entered into the model one at a time as the independent variable. All variables found to be significant predictors of the outcome at the P < 0.10 level were then retained in the final model along with service as the predictor of interest. We used general estimating equations in all multivariable models to adjust for clustering of patients by attending physician. For logistic regression models, the effect size is presented as an odds ratio (OR); for log‐transformed linear regression models, the effect size is presented as the percent difference between groups. We also performed 2 subgroup analyses, limited to (1) the patients with the 10 most common discharge DRGs, and (2) patients admitted between the hours of 7:00 AM and 7:00 PM to remove the effects of moonlighters performing the initial admission. Except as noted above, 2‐sided P values < 0.05 were considered significant. SAS 9.1 (SAS Institute, Cary, NC) was used for all analyses.
RESULTS
Patient Demographics
Table 1 shows patient demographics and clinical characteristics of the PACE service and the comparison group. Patients in the comparison group were slightly older and tended to have slightly higher CMI and Charlson scores. Patients on the PACE service were more likely to be admitted at night (10:00 PM to 7:00 AM; 43.8% versus 30.3%; P < 0.0001). There were no significant differences in sex, race, insurance, or percentage of patients discharged to home. The 10 most common DRGs in the comparison group accounted for 37.0% of discharges, and these same DRGs accounted for 37.5% of discharges on the PACE service (Table 2).
Characteristic | PACE Service (n = 992) | House Staff Services (n = 4,202) | P value |
---|---|---|---|
| |||
Age (years) | |||
1844 | 19.1 | 18.2 | |
4564 | 35.5 | 31.9 | 0.04 |
65+ | 45.5 | 49.9 | |
Sex (% female) | 57.7 | 60.0 | NS |
Race/ethnicity | |||
White | 57.3 | 59.3 | |
Black | 24.0 | 23.5 | NS |
Hispanic | 14.1 | 13.3 | |
Other | 4.6 | 3.9 | |
Insurance | |||
Medicare | 41.9 | 43.8 | |
Commercial | 34.9 | 35.9 | |
Medicaid | 14.4 | 11.7 | NS |
Free care | 4.5 | 3.9 | |
Self pay | 1.1 | 0.8 | |
Median income by zip code of residence, USD (IQR) | 45,517 (32,49362,932) | 45,517 (35,88963,275) | NS |
Case‐mix index, median (IQR) | 1.1 (0.81.5) | 1.2 (0.91.8) | 0.001 |
Charlson score | |||
0 | 27.2 | 24.9 | |
1 | 22.6 | 21.1 | 0.02 |
2 | 16.2 | 16.5 | |
3+ | 34.0 | 37.6 | |
Admissions between 10:00 PM and 7:00 AM | 43.8 | 30.3 | <0.0001 |
Discharged to home | 81.1 | 80.5 | NS |
Diagnosis‐Related Group at Discharge | PACE Service (n = 992)* | House Staff Services (n = 4,202)* |
---|---|---|
| ||
Chest pain | 5.4 | 6.4 |
Esophagitis, gastroenteritis, and miscellaneous digestive disorders | 4.5 | 4.4 |
Heart failure and shock | 3.4 | 4.6 |
Simple pneumonia and pleurisy | 2.7 | 4.4 |
Kidney and urinary tract infections | 4.7 | 3.2 |
Chronic obstructive pulmonary disease | 4.0 | 3.3 |
Renal failure | 2.7 | 3.5 |
Gastrointestinal hemorrhage | 3.7 | 2.7 |
Nutritional and miscellaneous metabolic disorders | 3.3 | 2.4 |
Disorders of the pancreas except malignancy | 3.1 | 2.1 |
Cumulative percent | 37.5 | 37.0 |
Efficiency and Quality of Care
Table 3 compares the performance of the PACE service and the comparison group on several efficiency and quality measures. Unadjusted LOS was not significantly different, and adjusted LOS was slightly but not statistically significantly higher on the study service (adjusted LOS 5.0% higher; 95% confidence interval [CI], 0.4% to +10%). Unadjusted and adjusted total costs of care were marginally lower on the study service (adjusted total cost of care 3.9% lower; 95% CI, 7.5% to 0.3%).
PACE Service | House Staff Services | Unadjusted % Difference (95%CI) | Adjusted % Difference (95%CI)* | |
---|---|---|---|---|
PACE Service | House Staff Services | Unadjusted OR (95% CI) | Adjusted OR (95% CI) | |
| ||||
Efficiency measure | ||||
Length of stay, days, median (IQR) | 2.6 (1.6, 4.4) | 2.6 (1.4, 4.6) | +0.1% (5.6% to +6.1%) | +5.0% (0.4% to +10.0%) |
Total costs, USD, median (IQR) | 4,536 (2,848, 7,201) | 4,749 (3,046, 8,161) | 9.1% (14.0% to 3.8%) | 3.9% (7.5% to 0.3%)‖ |
Quality measure | ||||
72‐hour readmissions/100 discharges | 0.8 | 1.3 | 0.6 (0.31.3) | 0.7 (0.21.8) |
14‐day readmissions/100 discharges | 5.4 | 5.4 | 1.0 (0.71.4) | 1.1 (0.81.4) |
30‐day readmissions/100 discharges | 8.0 | 8.1 | 1.0 (0.81.3) | 1.1 (0.91.3) |
ICU transfers/100 discharges | 2.0 | 2.3 | 0.9 (0.51.4) | 1.4 (0.82.4)# |
Inpatient mortality/100 discharges | 0.7 | 1.2 | 0.6 (0.31.3) | 0.8 (0.31.8)** |
We found no differences between the PACE service and comparison group in unadjusted rates of hospital readmissions within 72 hours, 14 days, and 30 days, transfer to the intensive care units, or inpatient mortality (Table 3). The associated ORs for each outcome were similar after adjusting for patient demographics and clinical characteristics including severity of illness, as well as for clustering by attending physician.
Subgroup Analyses
When the analysis was limited to the subset of patients with the 10 most common discharge DRGs, the difference in adjusted total cost of care was similar but lost statistical significance (4.0% lower on PACE service; 95% CI, 11.0% to +3.3%). In this subgroup, LOS, readmission rates, and ICU transfer rates were not different. ORs for mortality could not be calculated because there were no deaths in this subgroup on the PACE service (data not shown). When analysis was limited to daytime admissions (to remove any potential effect of admitting by a moonlighter), the difference in total cost of care was attenuated and lost statistical significance (0.2% lower on PACE service; 95%CI, 5.9% to +5.5%). No differences were seen in LOS, mortality, and ICU transfers (data not shown). However, 14‐day readmissions (but not 72‐hour or 30‐day readmissions) were lower on the PACE service (OR, 0.49; 95% CI, 0.25‐0.93).
Patient Satisfaction
Patients were similarly satisfied with their care on the PACE service and on the house staff services. In specific areas and globally, percentages of patients satisfied with their physicians and with the discharge process were not different, as measured by the Press‐Ganey survey (Press‐Ganey Associates, South Bend, IN; Figures 1 and 2). The survey distinguishes between attendings and residents, but not physician assistants; therefore, Figure 1 only includes responses to the attending questions. Given the sampling procedure of the Press‐Ganey survey, exact response rates cannot be calculated, but Press‐Ganey reports a response rate of about 40% for the English survey and about 20% for the Spanish survey.


Resident Duty Hours
Comparing the same month 1 year prior to implementation of the PACE service, mean self‐reported resident duty hours on the general medicine service were unchanged; however, self‐reported data were incomplete, and multiple changes took place in the residency program during the study period. For example, implementation of the PACE service allowed for the dissolution of one full house staff general medicine team and redistribution of these house staff to night float positions and an expanded medical intensive care unit.
Costs of Implementation
The costs associated with implementing the PACE service included physician and physician assistant salaries (2.5 full‐time physicians, 5 full‐time physician assistants, plus fringe) and night coverage by resident and fellow moonlighters (without fringe, and estimated at 50% effort given other moonlighter coverage responsibilities on subspecialty services). We estimated these costs at $257.50/patient‐day ($115/patient‐day for attending physician compensation, $110/patient‐day for physician assistant compensation, and $32.50/patient‐day for moonlighting coverage).
DISCUSSION
As academic centers struggle with developing a workforce to provide patient care no longer provided by residents, questions about the ideal structure of nonhouse staff inpatient services abound. Although solutions to this problem will be determined to some extent by local factors such as institutional culture and resources, some lessons learned in developing such services will be more widely applicable. We found that by implementing a geographically localized, physician assistant‐staffed hospitalist service, we were able to provide care of similar quality and efficiency to that of traditional house staff services, despite inexperienced hospitalists staffing the service and a medical residency program commonly recognized as one of the best in the country. Adjusted total costs were slightly lower on the PACE service, but this difference was small and of borderline statistical significance. Likewise, no significant differences were seen in any of several quality measures or in patient satisfaction.
Our findings add to the available evidence supporting the use of physician assistants on academic general medicine services, and are germane to academic centers facing reductions in house staff availability and seeking alternative models of care for inpatients. Several specific characteristics of the PACE service and the implications of these should be considered:
The service accepted all patients, regardless of diagnosis, acuity, or complexity of illness. This was unlike many previously described nonhouse staff services which were more limited in scope, and allowed more flexibility with patient flow. However, in the end, patients on the PACE service did have a modestly lower case mix index and Charlson score, suggesting that, despite a lack of triage guidelines, there was some bias in the triage of admissions, possibly due to a perception that physician assistants should take care of lower complexity patients. If it is desirable to have a similar distribution of higher complexity patients across house staff and nonhouse staff services, extra efforts may be necessary to overcome this perception.
The service was geographically regionalized. Geographic regionalization offered many important advantages, especially with regards to communication among staff, nursing, and consultants, and allowed for multidisciplinary rounds. However, it is possible that the modest, but not statistically significant, trend toward an increased LOS seen on the PACE service might be a reflection of geographic admitting (less incentive to discharge since discharging a patient means taking a new admission).
The education and professional development of the physician assistants was a priority. Physician assistants had considerable autonomy and responsibility, and rather than being assigned only lower level administrative tasks, performed all aspects of patient care. They also received regular teaching from the hospitalists, attended house staff teaching conferences, and developed nonclinical roles in education and quality improvement. The higher standards expected of the physician assistants were quite possibly a factor in the quality of care delivered, and almost certainly contributed to physician assistant satisfaction and retention.
Our findings contrast with those of Myers et al.,9 who found that a nonteaching service staffed by hospitalists and nurse practitioners had a significantly lower median LOS and hospital charges compared to similar patients on resident‐based services. However, unlike ours, their service cared for a select patient population, and only accepted patients with chest pain at low risk for acute coronary syndrome. Van Rhee et al.10 found that physician assistants on a general medicine service used fewer resources for patients with pneumonia, stroke, and congestive heart failure than resident physicians, and did not exceed the resources used by residents in other diagnoses. The authors did not find a difference in LOS, but did find a significantly higher mortality among patients with pneumonia cared for by physician assistants.
Several limitations should be noted. First, the study was a retrospective analysis of administrative data rather than a randomized trial, and although we employed a standard approach to adjust for a wide range of patient characteristics including severity of illness, there may have been undetected differences in the patient populations studied that may have confounded our results. Second, resident moonlighters admitted patients to the PACE service and, at other times, to the house staff services, and this may have diluted any differences between the groups. However, when we limited our analysis to the subgroup of patients admitted during the day, similar results were obtained, with the exception that the PACE service had a lower rate of 14‐day readmissions, an unexpected finding deserving of further study. Third, the study was conducted in a single academic institution and our findings may not be generalizable to others with different needs and resources; indeed, the costs associated with implementing such a service may be prohibitive for some institutions. Fourth, because of simultaneous changes that were taking place in our residency program, we are unable to accurately assess the impact of the PACE service on resident duty hours. However, resident duty hours did not increase over this time period on the general medicine service, and implementation of the service allowed for redistribution of house staff to other services and positions. Fifth, patient satisfaction data were obtained from responses to the mailed Press‐Ganey survey, to which there is a relatively low response rate. Also, we did not survey providers regarding their satisfaction with the service during the study period. Sixth, the study had limited power to detect clinically important differences in mortality and ICU transfers. Finally, this study is unable to compare this particular model of incorporating midlevel providers into general medical services with other models, only with traditional house staff services.
Future research should focus on determining the most effective and efficient ways to incorporate midlevel providers on academic general medicine services. One important question from the standpoint of house staff training is whether such services should be separate but equal, or should house staff gain experience during residency working with midlevel providers, since they are likely to encounter them in the future whether they stay in academics or not. Different models of care will likely have large implications for the quality and efficiency of patient care, house staff education and satisfaction, and physician assistant job satisfaction and turnover.
In summary, our study demonstrates that a geographically regionalized, multidisciplinary service staffed by hospitalists and physician assistants can be a safe alternative to house staff‐based services for the care of general medicine inpatients in an academic medical center.
Midlevel providers (physician assistants and nurse practitioners) have long been employed by academic medical centers, predominantly on surgical services, or on medical subspecialty services, where they have typically had a limited scope of practice, focused in a narrowly defined area or set of procedures.17 In contrast, there are relatively few reports of experiences deploying midlevel providers to replace house staff on inpatient general medicine services in academic centers,810 and few studies of the effect of midlevel providers on quality and efficiency of care in the academic setting. Despite this, reductions in house officer duty hours as mandated by the Accreditation Council on Graduate Medical Education (ACGME)11 have resulted in academic centers increasingly using midlevel providers to decrease house staff workload on inpatient services.12, 13 In general, midlevel practitioners on general medicine services have been deployed to: (1) care for a population of patients separate from and in parallel with house staff; this population may be narrowly defined (eg, patients with chest pain) or not; (2) assist with the management of patients cared for by house staff by performing certain tasks (eg, scheduling appointments, discharging patients). Even as midlevel providers become more prevalent on academic general medicine services, the best model of care incorporating them into clinical care remains unclear, and few studies have rigorously examined the care provided on services that use them.
We developed an inpatient general medicine service within a large academic medical center staffed by physician assistants and hospitalists to help our residency program meet ACGME duty hour requirements. We hypothesized that by creating a service that is geographically localized and supervised by full‐time hospitalists, by instituting multidisciplinary rounds, and by investing in the professional development of highly‐skilled physician assistants, we could provide care for medically complex, acutely ill general medicine inpatients with similar quality and efficiency as compared to house staff teams. We report our experience during the first year of implementing the service, and compare quality and efficiency of care on this service with that of our traditional house staff services. We also evaluate the effects of this service on patient satisfaction and self‐reported house staff workload.
PATIENTS AND METHODS
Study Setting
The study was conducted in a 747‐bed urban, academic medical center in the northeastern United States. The hospital's human research committee reviewed and approved the study design. The hospital has accredited residency and fellowship programs in all major specialties. Prior to July 2005, physician assistants were employed only on surgical and medical subspecialty services (ie, bone marrow transplant, interventional cardiology); none were employed on the inpatient general medicine service. There were approximately 44,000 inpatient admissions during the year of the study, with approximately 6500 of these to the general medicine service.
Description of the General Medicine Service
The General Medicine Service consisted of 8 traditional house staff teams, with 1 attending, 1 junior or senior resident, 2 interns, and 1 or 2 medical students. These teams admitted patients on a rotating basis every fourth day. On 4 of these teams, the attending was a hospitalist, with clinical responsibility for the majority of the patients admitted to the team. On the remaining 4 teams, the teaching attending was a primary care physician or medical subspecialist, responsible for the direct care of a small number of the team's patients, with the remainder cared for by private primary care physicians or subspecialists.
Description of the Physician Assistant/Hospitalist Service
The Physician Assistant/Clinician Educator (PACE) service opened in July 2005, and consisted of 15 beds localized to 2 adjacent inpatient pods, staffed by a single cadre of nurses and medically staffed by 1 hospitalist and 2 physician assistants from 7:00 AM to 7:00 PM on weekdays and by 1 hospitalist, 1 physician assistant, and 1 moonlighter (usually a senior medical resident or fellow) from 7:00 AM to 7:00 PM on weekends. A moonlighter, typically a senior resident or medical subspecialty fellow, admitted patients and covered nights on the service from 7:00 PM to 7:00 AM 7 days a week. The daily census goal for the service was 15 patients, limited by the number of available beds on the 2 pods, and the service accepted admissions 24 hours per day, 7 days per week, whenever beds were available. Daily morning rounds occurred at 8:00 AM and included the hospitalist, physician assistants, nurses, a care coordinator, and a pharmacist. The PACE service did not have triage guidelines related to diagnosis, complexity, or acuity, but only accepted patients via the emergency department or via a primary care physician's office, and did not accept patients transferred from outside hospitals or from the intensive care units.
Physician Assistants
All of the physician assistants on the PACE service had prior inpatient medicine experience, ranging from 6 months to 5 years. The physician assistants worked in 3‐day to 6‐day blocks of 12‐hour shifts. Their clinical responsibilities were similar to those of interns at the study hospital, and included taking histories and performing physical examinations, writing notes and orders, reviewing and assimilating data, creating and updating patient signouts, completing discharge summaries, consulting other services as needed, and communicating with nurses and family members.
Many physician assistants also had nonclinical responsibilities, taking on physician‐mentored roles in education, quality improvement, and administration. They were involved in several initiatives: (1) developing a physician assistant curriculum in hospital medicine, (2) presenting at hospital‐wide physician assistant grand rounds, (3) surveying and tracking patient and family satisfaction on the service, (4) reviewing all 72‐hour hospital readmissions, intensive care unit transfers, and deaths on the service, and (5) maintaining the service's compliance with state regulations regarding physician assistant scope of practice and prescribing.
Hospitalists
The 3 hospitalists on the PACE service worked in 7‐day blocks of 12‐hour shifts (7:00 AM to 7:00 PM). They directly supervised the physician assistants and had no competing responsibilities. The hospitalists were all recent graduates of the study hospital's internal medicine residency, with no prior clinical experience beyond residency. All were planning to work on the service for 1 to 2 years before beginning a subspecialty fellowship. In addition to supervising the clinical work of the physician assistants, the hospitalists were responsible for teaching the physician assistants on rounds and in weekly didactic sessions, guided by a curriculum in hospital medicine that focused on the most common general medicine diagnoses seen on the PACE service. The medical director of the PACE service periodically reviewed each physician assistant's clinical experience, skills and knowledge base, and held semiannual feedback sessions.
Study Patients
All general medicine patients admitted to the PACE service from July 1, 2005 to June 30, 2006 comprised the study population. The comparison group consisted of general medicine patients admitted to the 8 house staff general medicine teams; patients transferred from an intensive care unit (ICU) or another facility were excluded in order to match the admission criteria for the PACE service and improve comparability between the 2 study arms.
Data Collection and Study Outcomes
We obtained all patient data from the hospital's administrative databases. We identified patients assigned to the PACE service or to the comparison group based on the admitting service, team, and attending. We obtained patient demographics, insurance, admission source and discharge destination, admission and discharge times, dates, diagnoses, and diagnosis‐related groups (DRGs), as well as dates and times of transfers to other services, including to the intensive care unit. We also obtained the Medicare case‐mix index (CMI, based on DRG weight), and calculated a Charlson score based on billing diagnoses coded in the year prior to the index admission.14 Outcomes included length of stay (LOS) to the nearest hour, in‐hospital mortality, transfers to the intensive care unit, readmissions to the study hospital within 72 hours, 14 days, and 30 days, and total costs as derived from the hospital's cost accounting system (Transition Systems Inc., Boston, MA). Other outcomes included patient satisfaction as measured by responses to the Press‐Ganey survey routinely administered to a randomly selected 70% of recently discharged patients and effect on self‐reported resident work hours.
Statistical Analysis
Patient demographics, clinical characteristics, and study outcomes are presented using proportions, means with standard deviations, and medians with inter‐quartile ranges as appropriate. Unadjusted differences in outcomes between the two services were calculated using univariable regression techniques with service as the independent variable and each outcome as the dependent variable. We used logistic regression for dichotomous outcomes (readmissions, ICU transfers, and inpatient mortality), and linear regression for log‐transformed LOS and log‐transformed total costs of care. To adjust each outcome for potential confounders, we then built multivariable regression models. Each potential confounder was entered into the model one at a time as the independent variable. All variables found to be significant predictors of the outcome at the P < 0.10 level were then retained in the final model along with service as the predictor of interest. We used general estimating equations in all multivariable models to adjust for clustering of patients by attending physician. For logistic regression models, the effect size is presented as an odds ratio (OR); for log‐transformed linear regression models, the effect size is presented as the percent difference between groups. We also performed 2 subgroup analyses, limited to (1) the patients with the 10 most common discharge DRGs, and (2) patients admitted between the hours of 7:00 AM and 7:00 PM to remove the effects of moonlighters performing the initial admission. Except as noted above, 2‐sided P values < 0.05 were considered significant. SAS 9.1 (SAS Institute, Cary, NC) was used for all analyses.
RESULTS
Patient Demographics
Table 1 shows patient demographics and clinical characteristics of the PACE service and the comparison group. Patients in the comparison group were slightly older and tended to have slightly higher CMI and Charlson scores. Patients on the PACE service were more likely to be admitted at night (10:00 PM to 7:00 AM; 43.8% versus 30.3%; P < 0.0001). There were no significant differences in sex, race, insurance, or percentage of patients discharged to home. The 10 most common DRGs in the comparison group accounted for 37.0% of discharges, and these same DRGs accounted for 37.5% of discharges on the PACE service (Table 2).
Characteristic | PACE Service (n = 992) | House Staff Services (n = 4,202) | P value |
---|---|---|---|
| |||
Age (years) | |||
1844 | 19.1 | 18.2 | |
4564 | 35.5 | 31.9 | 0.04 |
65+ | 45.5 | 49.9 | |
Sex (% female) | 57.7 | 60.0 | NS |
Race/ethnicity | |||
White | 57.3 | 59.3 | |
Black | 24.0 | 23.5 | NS |
Hispanic | 14.1 | 13.3 | |
Other | 4.6 | 3.9 | |
Insurance | |||
Medicare | 41.9 | 43.8 | |
Commercial | 34.9 | 35.9 | |
Medicaid | 14.4 | 11.7 | NS |
Free care | 4.5 | 3.9 | |
Self pay | 1.1 | 0.8 | |
Median income by zip code of residence, USD (IQR) | 45,517 (32,49362,932) | 45,517 (35,88963,275) | NS |
Case‐mix index, median (IQR) | 1.1 (0.81.5) | 1.2 (0.91.8) | 0.001 |
Charlson score | |||
0 | 27.2 | 24.9 | |
1 | 22.6 | 21.1 | 0.02 |
2 | 16.2 | 16.5 | |
3+ | 34.0 | 37.6 | |
Admissions between 10:00 PM and 7:00 AM | 43.8 | 30.3 | <0.0001 |
Discharged to home | 81.1 | 80.5 | NS |
Diagnosis‐Related Group at Discharge | PACE Service (n = 992)* | House Staff Services (n = 4,202)* |
---|---|---|
| ||
Chest pain | 5.4 | 6.4 |
Esophagitis, gastroenteritis, and miscellaneous digestive disorders | 4.5 | 4.4 |
Heart failure and shock | 3.4 | 4.6 |
Simple pneumonia and pleurisy | 2.7 | 4.4 |
Kidney and urinary tract infections | 4.7 | 3.2 |
Chronic obstructive pulmonary disease | 4.0 | 3.3 |
Renal failure | 2.7 | 3.5 |
Gastrointestinal hemorrhage | 3.7 | 2.7 |
Nutritional and miscellaneous metabolic disorders | 3.3 | 2.4 |
Disorders of the pancreas except malignancy | 3.1 | 2.1 |
Cumulative percent | 37.5 | 37.0 |
Efficiency and Quality of Care
Table 3 compares the performance of the PACE service and the comparison group on several efficiency and quality measures. Unadjusted LOS was not significantly different, and adjusted LOS was slightly but not statistically significantly higher on the study service (adjusted LOS 5.0% higher; 95% confidence interval [CI], 0.4% to +10%). Unadjusted and adjusted total costs of care were marginally lower on the study service (adjusted total cost of care 3.9% lower; 95% CI, 7.5% to 0.3%).
PACE Service | House Staff Services | Unadjusted % Difference (95%CI) | Adjusted % Difference (95%CI)* | |
---|---|---|---|---|
PACE Service | House Staff Services | Unadjusted OR (95% CI) | Adjusted OR (95% CI) | |
| ||||
Efficiency measure | ||||
Length of stay, days, median (IQR) | 2.6 (1.6, 4.4) | 2.6 (1.4, 4.6) | +0.1% (5.6% to +6.1%) | +5.0% (0.4% to +10.0%) |
Total costs, USD, median (IQR) | 4,536 (2,848, 7,201) | 4,749 (3,046, 8,161) | 9.1% (14.0% to 3.8%) | 3.9% (7.5% to 0.3%)‖ |
Quality measure | ||||
72‐hour readmissions/100 discharges | 0.8 | 1.3 | 0.6 (0.31.3) | 0.7 (0.21.8) |
14‐day readmissions/100 discharges | 5.4 | 5.4 | 1.0 (0.71.4) | 1.1 (0.81.4) |
30‐day readmissions/100 discharges | 8.0 | 8.1 | 1.0 (0.81.3) | 1.1 (0.91.3) |
ICU transfers/100 discharges | 2.0 | 2.3 | 0.9 (0.51.4) | 1.4 (0.82.4)# |
Inpatient mortality/100 discharges | 0.7 | 1.2 | 0.6 (0.31.3) | 0.8 (0.31.8)** |
We found no differences between the PACE service and comparison group in unadjusted rates of hospital readmissions within 72 hours, 14 days, and 30 days, transfer to the intensive care units, or inpatient mortality (Table 3). The associated ORs for each outcome were similar after adjusting for patient demographics and clinical characteristics including severity of illness, as well as for clustering by attending physician.
Subgroup Analyses
When the analysis was limited to the subset of patients with the 10 most common discharge DRGs, the difference in adjusted total cost of care was similar but lost statistical significance (4.0% lower on PACE service; 95% CI, 11.0% to +3.3%). In this subgroup, LOS, readmission rates, and ICU transfer rates were not different. ORs for mortality could not be calculated because there were no deaths in this subgroup on the PACE service (data not shown). When analysis was limited to daytime admissions (to remove any potential effect of admitting by a moonlighter), the difference in total cost of care was attenuated and lost statistical significance (0.2% lower on PACE service; 95%CI, 5.9% to +5.5%). No differences were seen in LOS, mortality, and ICU transfers (data not shown). However, 14‐day readmissions (but not 72‐hour or 30‐day readmissions) were lower on the PACE service (OR, 0.49; 95% CI, 0.25‐0.93).
Patient Satisfaction
Patients were similarly satisfied with their care on the PACE service and on the house staff services. In specific areas and globally, percentages of patients satisfied with their physicians and with the discharge process were not different, as measured by the Press‐Ganey survey (Press‐Ganey Associates, South Bend, IN; Figures 1 and 2). The survey distinguishes between attendings and residents, but not physician assistants; therefore, Figure 1 only includes responses to the attending questions. Given the sampling procedure of the Press‐Ganey survey, exact response rates cannot be calculated, but Press‐Ganey reports a response rate of about 40% for the English survey and about 20% for the Spanish survey.


Resident Duty Hours
Comparing the same month 1 year prior to implementation of the PACE service, mean self‐reported resident duty hours on the general medicine service were unchanged; however, self‐reported data were incomplete, and multiple changes took place in the residency program during the study period. For example, implementation of the PACE service allowed for the dissolution of one full house staff general medicine team and redistribution of these house staff to night float positions and an expanded medical intensive care unit.
Costs of Implementation
The costs associated with implementing the PACE service included physician and physician assistant salaries (2.5 full‐time physicians, 5 full‐time physician assistants, plus fringe) and night coverage by resident and fellow moonlighters (without fringe, and estimated at 50% effort given other moonlighter coverage responsibilities on subspecialty services). We estimated these costs at $257.50/patient‐day ($115/patient‐day for attending physician compensation, $110/patient‐day for physician assistant compensation, and $32.50/patient‐day for moonlighting coverage).
DISCUSSION
As academic centers struggle with developing a workforce to provide patient care no longer provided by residents, questions about the ideal structure of nonhouse staff inpatient services abound. Although solutions to this problem will be determined to some extent by local factors such as institutional culture and resources, some lessons learned in developing such services will be more widely applicable. We found that by implementing a geographically localized, physician assistant‐staffed hospitalist service, we were able to provide care of similar quality and efficiency to that of traditional house staff services, despite inexperienced hospitalists staffing the service and a medical residency program commonly recognized as one of the best in the country. Adjusted total costs were slightly lower on the PACE service, but this difference was small and of borderline statistical significance. Likewise, no significant differences were seen in any of several quality measures or in patient satisfaction.
Our findings add to the available evidence supporting the use of physician assistants on academic general medicine services, and are germane to academic centers facing reductions in house staff availability and seeking alternative models of care for inpatients. Several specific characteristics of the PACE service and the implications of these should be considered:
The service accepted all patients, regardless of diagnosis, acuity, or complexity of illness. This was unlike many previously described nonhouse staff services which were more limited in scope, and allowed more flexibility with patient flow. However, in the end, patients on the PACE service did have a modestly lower case mix index and Charlson score, suggesting that, despite a lack of triage guidelines, there was some bias in the triage of admissions, possibly due to a perception that physician assistants should take care of lower complexity patients. If it is desirable to have a similar distribution of higher complexity patients across house staff and nonhouse staff services, extra efforts may be necessary to overcome this perception.
The service was geographically regionalized. Geographic regionalization offered many important advantages, especially with regards to communication among staff, nursing, and consultants, and allowed for multidisciplinary rounds. However, it is possible that the modest, but not statistically significant, trend toward an increased LOS seen on the PACE service might be a reflection of geographic admitting (less incentive to discharge since discharging a patient means taking a new admission).
The education and professional development of the physician assistants was a priority. Physician assistants had considerable autonomy and responsibility, and rather than being assigned only lower level administrative tasks, performed all aspects of patient care. They also received regular teaching from the hospitalists, attended house staff teaching conferences, and developed nonclinical roles in education and quality improvement. The higher standards expected of the physician assistants were quite possibly a factor in the quality of care delivered, and almost certainly contributed to physician assistant satisfaction and retention.
Our findings contrast with those of Myers et al.,9 who found that a nonteaching service staffed by hospitalists and nurse practitioners had a significantly lower median LOS and hospital charges compared to similar patients on resident‐based services. However, unlike ours, their service cared for a select patient population, and only accepted patients with chest pain at low risk for acute coronary syndrome. Van Rhee et al.10 found that physician assistants on a general medicine service used fewer resources for patients with pneumonia, stroke, and congestive heart failure than resident physicians, and did not exceed the resources used by residents in other diagnoses. The authors did not find a difference in LOS, but did find a significantly higher mortality among patients with pneumonia cared for by physician assistants.
Several limitations should be noted. First, the study was a retrospective analysis of administrative data rather than a randomized trial, and although we employed a standard approach to adjust for a wide range of patient characteristics including severity of illness, there may have been undetected differences in the patient populations studied that may have confounded our results. Second, resident moonlighters admitted patients to the PACE service and, at other times, to the house staff services, and this may have diluted any differences between the groups. However, when we limited our analysis to the subgroup of patients admitted during the day, similar results were obtained, with the exception that the PACE service had a lower rate of 14‐day readmissions, an unexpected finding deserving of further study. Third, the study was conducted in a single academic institution and our findings may not be generalizable to others with different needs and resources; indeed, the costs associated with implementing such a service may be prohibitive for some institutions. Fourth, because of simultaneous changes that were taking place in our residency program, we are unable to accurately assess the impact of the PACE service on resident duty hours. However, resident duty hours did not increase over this time period on the general medicine service, and implementation of the service allowed for redistribution of house staff to other services and positions. Fifth, patient satisfaction data were obtained from responses to the mailed Press‐Ganey survey, to which there is a relatively low response rate. Also, we did not survey providers regarding their satisfaction with the service during the study period. Sixth, the study had limited power to detect clinically important differences in mortality and ICU transfers. Finally, this study is unable to compare this particular model of incorporating midlevel providers into general medical services with other models, only with traditional house staff services.
Future research should focus on determining the most effective and efficient ways to incorporate midlevel providers on academic general medicine services. One important question from the standpoint of house staff training is whether such services should be separate but equal, or should house staff gain experience during residency working with midlevel providers, since they are likely to encounter them in the future whether they stay in academics or not. Different models of care will likely have large implications for the quality and efficiency of patient care, house staff education and satisfaction, and physician assistant job satisfaction and turnover.
In summary, our study demonstrates that a geographically regionalized, multidisciplinary service staffed by hospitalists and physician assistants can be a safe alternative to house staff‐based services for the care of general medicine inpatients in an academic medical center.
- The physician's assistant as resident on surgical service. An example of creative problem solving in surgical manpower.Arch Surg.1980;115:310–314. , , , , , .
- Coronary arteriography performed by a physician assistant.Am J Cardiol.1987;60:784–787. , , , .
- The specialized physician assistant: an alternative to the clinical cardiology trainee.Am J Cardiol.1987;60:901–902. .
- One hospital's successful 20‐year experience with physician assistants in graduate medical education.Acad Med.1999;74:641–645. , , .
- Physicians assistants in cardiothoracic surgery: a 30‐year experience in a university center.Ann Thorac Surg.2006;81:195–199; discussion 199–200. , .
- Comparative review of use of physician assistants in a level I trauma center.Am Surg.2004;70:272–279. , , .
- Integrating midlevel practitioners into a teaching service.Am J Surg.2006;192:119–124. , , , , .
- Acute care nurse practitioners: creating and implementing a model of care for an inpatient general medical service.Am J Crit Care.2002;11:448–458. , .
- Improving resource utilization in a teaching hospital: development of a nonteaching service for chest pain admissions.Acad Med.2006;81:432–435. , , , , .
- Resource use by physician assistant services versus teaching services.JAAPA.2002;15:33–38. , , .
- for the ACGME Work Group on Resident Duty Hours, Accreditation Council for Graduate Medical Education.New requirements for resident duty hours.JAMA.2002;288:1112–1114. , , ,
- The substitution of physician assistants and nurse practitioners for physician residents in teaching hospitals.Health Aff.1995;14:181–191. , , .
- Challenges of the 80‐hour resident work rules: collaboration between surgeons and nonphysician practitioners.Surg Clin North Am.2004;84:1573–1586. , , , , .
- Adapting a clinical comorbidity index for use with ICD‐9‐CM administrative databases.J Clin Epidemiol.1992;45:613–619. , , .
- The physician's assistant as resident on surgical service. An example of creative problem solving in surgical manpower.Arch Surg.1980;115:310–314. , , , , , .
- Coronary arteriography performed by a physician assistant.Am J Cardiol.1987;60:784–787. , , , .
- The specialized physician assistant: an alternative to the clinical cardiology trainee.Am J Cardiol.1987;60:901–902. .
- One hospital's successful 20‐year experience with physician assistants in graduate medical education.Acad Med.1999;74:641–645. , , .
- Physicians assistants in cardiothoracic surgery: a 30‐year experience in a university center.Ann Thorac Surg.2006;81:195–199; discussion 199–200. , .
- Comparative review of use of physician assistants in a level I trauma center.Am Surg.2004;70:272–279. , , .
- Integrating midlevel practitioners into a teaching service.Am J Surg.2006;192:119–124. , , , , .
- Acute care nurse practitioners: creating and implementing a model of care for an inpatient general medical service.Am J Crit Care.2002;11:448–458. , .
- Improving resource utilization in a teaching hospital: development of a nonteaching service for chest pain admissions.Acad Med.2006;81:432–435. , , , , .
- Resource use by physician assistant services versus teaching services.JAAPA.2002;15:33–38. , , .
- for the ACGME Work Group on Resident Duty Hours, Accreditation Council for Graduate Medical Education.New requirements for resident duty hours.JAMA.2002;288:1112–1114. , , ,
- The substitution of physician assistants and nurse practitioners for physician residents in teaching hospitals.Health Aff.1995;14:181–191. , , .
- Challenges of the 80‐hour resident work rules: collaboration between surgeons and nonphysician practitioners.Surg Clin North Am.2004;84:1573–1586. , , , , .
- Adapting a clinical comorbidity index for use with ICD‐9‐CM administrative databases.J Clin Epidemiol.1992;45:613–619. , , .
Copyright © 2008 Society of Hospital Medicine
The Irritable Heart
The approach to clinical conundrums by an expert clinician is revealed through presentation of an actual patient's case in an approach typical of morning report. Similar to patient care, sequential pieces of information are provided to the clinician who is unfamiliar with the case. The focus is on the thought processes of both the clinical team caring for the patient and the discussant.
A30‐year‐old woman was referred for evaluation of chest pain, palpitations, and exercise intolerance. She had been previously healthy, active, and physically fit. Five months prior to our evaluation, she had an elective C5C6 cervical spine discectomy with interbody allograft fusion for a chronic neck injury that occurred 11 years ago during gymnastics. Two weeks after spine surgery, the patient developed numbness and tingling of her left thumb and palm that occurred with exertion or exposure to cold and subsided with rest. These episodes increased in frequency and intensity and after 1 week became associated with sharp, occasionally stabbing chest pain that radiated to the left arm. On one occasion, the patient had an episode of exertional chest pain with prolonged left arm cyanosis. Emergent left upper extremity angiography revealed normal great vessel anatomy with spasm of the radial artery and collateral ulnar flow. The patient was diagnosed with Raynaud's phenomenon and was started on nifedipine. A subsequent rheumatologic evaluation was unrevealing, and the patient was empirically switched to amlodipine with no improvement in symptoms.
This otherwise very healthy 30‐year‐old developed a multitude of symptoms. The patient's chest pain is atypical and in a young woman is unlikely to signify atherosclerotic coronary disease, but it should not be entirely disregarded. Vasospasm triggered by exposure to cold does raise suspicion for Raynaud's phenomenon, which is not uncommon in this demographic. However, this presentation is quite unusual because the vasospasm was limited to one vascular distribution of one extremity. Associated coronary vasospasm could explain the other symptoms, although coronary spasm is generally not associated with Raynaud's phenomenon. Vasculitis may also affect the pulmonary vasculature, leading to pulmonary hypertension and exercise intolerance. The temporal association with her spine surgery is intriguing but of unclear significance.
The patient continued to have frequent exertional episodes of sharp precordial chest pain radiating to her left arm that were accompanied by dyspnea and left upper extremity symptoms despite amlodipine therapy. These now occurred with limited activity when she walked 1 to 2 blocks uphill. Over the previous 2 months, she had also noticed palpitations occurring reliably with exercise that were relieved with 15 to 20 min of rest. With prolonged episodes, she reported dizziness, nausea, and blurry vision that improved with lying down. She twice had syncope with these symptoms. She noted lower extremity edema while taking calcium channel blockers, but this had resolved after discontinuation of the drugs.
The patient's past medical history included several high‐school orthopedic injuries. She had 2 kidney stones at ages 18 and 23 and had an appendectomy at age 28. Her only medication was an oral contraceptive, and she had discontinued the amlodipine. She denied the use of tobacco, alcohol, herbal medications, or illicit substances. There was no family history of sudden death or heart disease.
Palpitations in a 30‐year‐old woman may signify a cardiac arrhythmia. Paroxysmal supraventricular arrhythmias, such as atrioventricular nodal reentrant tachycardia, atrial tachycardia, and atrial fibrillation, are well described in the young. Ventricular tachycardia (VT) is another possible cause and could be idiopathic or related to occult structural heart disease. Young patients typically tolerate lone arrhythmias quite well, and her failure to do so raises suspicion for concomitant structural heart disease. Her palpitations may be from appropriate sinus tachycardia, which could be compensatory because of inadequate cardiac output reserve, which in turn could be caused by valvular disease, congenital heart disease, or ventricular dysfunction. The exertional chest pain is worrisome for ischemia. Pulmonary hypertension, severe ventricular hypertrophy, or congenital anomalies of the coronary circulation could lead to subendocardial myocardial ischemia with exertion, resulting in angina, dyspnea, and arrhythmias. However, the patient also experiences exertional palpitations without chest pain, which may signify an exertional tachyarrhythmia possibly mediated by catecholamines. Based solely on the history, the differential diagnosis remains broad.
On physical examination, the patient was a fit, thin, healthy woman. Her blood pressure was 120/70 mm Hg supine in both arms and 115/75 mm Hg standing; her pulse was 85 supine and 110 standing, Oxygen saturation was 100% on room air. A cardiac exam revealed a normal jugular venous pressure, normal point of maximal impulse, regular rhythm with occasional ectopy, normal S1, and physiologically split S2 without extra heart sounds or murmurs. The right ventricular impulse was faintly palpable at the left sternal border. Head, neck, chest, abdominal, musculoskeletal, neurologic, extremity, and peripheral pulse examinations were normal.
Laboratory data showed a normal complete blood count and normal chemistries. Serum tests for hepatitis C antibody, cardiolipin antibody, rheumatoid factor, cryoglobulins, and anti‐nuclear antibody were negative. The erythrocyte sedimentation rate and thyroid stimulating hormone levels were within normal limits. An electrocardiogram (ECG) demonstrated a normal sinus rhythm with frequent premature ventricular complexes (PVCs) and normal axis and intervals. (Figure 1). The PR segment was normal and without preexcitation. A prior ECG from 3 months ago was similar with ventricular trigeminy.

Her unremarkable cardiac examination does not favor structural or valvular heart disease, and there are no obvious stigmata of vasculitis. She did become mildly tachycardic upon standing, and this raises the possibility of orthostatic tachycardia. A comprehensive rheumatologic panel revealed no evidence of autoimmune disease or vasculitis, and the clinical constellation is not consistent with primary or secondary Raynaud's disease. The ECG demonstrates frequent monomorphic PVCs complexes with a left bundle branch block pattern and an inferior axis. This pattern suggests that the PVCs arise from the right ventricular outflow tract. Idiopathic right ventricular outflow tract VT and arrhythmogenic right ventricular dysplasia must be considered as a cause of exertional or catecholamine‐mediated tachycardia. The normal ECG argues against arrhythmogenic right ventricular dysplasia, in which patients typically have incomplete or complete right bundle branch block, right precordial T wave abnormalities, and occasionally epsilon waves. Her QT interval is normal, but excluding long‐QT syndrome with a single ECG has poor sensitivity. The next critical step is to document her cardiac rhythm during symptoms and to exclude malignant arrhythmias.
An event recorder and exercise echocardiogram were ordered. While the patient was wearing her event recorder, she had 4 episodes of exertional syncope while hiking and successfully triggered event recording before losing consciousness. She had chest pain and left arm pain after regaining consciousness. The patient came to the emergency room for evaluation. Her blood pressure was 116/80 mm Hg supine and 112/70 mm Hg seated. Her heart rate increased from 82 supine to 132 seated. The physical examination was unremarkable. ECG showed sinus rhythm with frequent PVCs. Troponin‐I measurements 10 hours apart were 0.7 and 0.3 g/L (normal < 1.1), with normal creatinine kinase and creatinine kinase MB fractions. Interrogation of the event recorder revealed multiple episodes of a narrow complex tachycardia with rates up to 180 bpm that correlated with symptoms (Figure 2). There were no episodes of wide complex tachycardia.

The patient was not hypotensive in the emergency room, but she had evidence of a marked orthostatic tachycardia. The minimal but significant troponin elevations are also troubling. Although her clinical picture is not consistent with an acute coronary syndrome, I am concerned about other mechanisms of myocardial ischemia or injury, such as a coronary anomaly or subendocardial ischemia from globally reduced myocardial perfusion. The presence of event recorder data from her syncopal events was fortuitous and revealed a supraventricular tachycardia. The arrhythmia was gradual in onset and resolution and had no triggers, such as premature atrial or ventricular complexes, which could suggest reentrant arrhythmias. The P wave morphology was also unchanged, and this argues against an atrial tachycardia. These findings are consistent with sinus tachycardia, which was notably out of proportion to her workload. This arrhythmia may be the primary cause of syncope, such as in inappropriate sinus tachycardia, or it may be a compensatory mechanism. Tachycardia from coronary vasospasm is often preceded by ST segment changes, which are not seen here. Although the event recorder had no episodes of VT, the patient's persistent frequent PVCs are still of concern. I would obtain an echocardiogram to exclude structural heart disease and an exercise test to exclude exertional VT. Finally, coronary angiography may be helpful in excluding congenital anomalies.
The patient was admitted for evaluation. An exercise treadmill test was performed, and the patient exercised 20 min on the standard Bruce protocol with a peak heart rate of 180 bpm. The test was notable for a premature rise in heart rate (in stage 1) without a rise in blood pressure. There were no symptoms or ST/T wave changes. Transthoracic echocardiogram showed normal left ventricular size and function with normal anatomy, valves, and hemodynamics. Coronary angiography showed a right dominant system with normal anatomy and no atherosclerotic disease.
Ventricular arrhythmias could not be elicited with exercise. Her high exercise tolerance virtually excluded hemodynamically significant structural or valvular disease, and this was confirmed by the echocardiogram. Coronary angiography excluded coronary anomalies and myocardial bridging. The most intriguing finding is the rise in the patient's heart rate out of proportion to the workload. This, along with her orthostatic tachycardia, raises the issue of inappropriate sinus tachycardia or postural orthostatic tachycardia syndrome (POTS). Carotid hypersensitivity is also a possibility. The patient was hiking when she fainted, and even light pressure on the patient's neck with head turning or from a camera strap, for example, could produce syncope. Although carotid hypersensitivity usually results in sinus bradycardia and AV block, it may be followed by reflex tachycardia, which was seen in this patient's event recordings. I would perform a tilt‐table test with carotid massage to make the diagnosis.
Tilt‐table testing was performed (Figure 3). Her supine blood pressure was 128/68 mm Hg, and her heart rate was 72 bpm with no change during the 10‐min supine period. Upon elevation to a 70‐degree tilt, the patient had an immediate increase in her heart rate to 160 bpm with a blood pressure nadir of 109/58 mm Hg and symptoms of palpitations, dizziness, dyspnea, chest pain, blurry vision, and nausea. Her peak heart rate was 172 bpm, and her peak blood pressure was 122/72 mm Hg. Vital signs did not change in response to carotid sinus massage in the supine or upright positions.

The tilt‐table test has 3 notable findings. First, her heart rate increased rapidly with tilt and decreased rapidly in supine recovery. Second, her usual symptoms started immediately after tilt and quickly resolved in recovery when vital signs returned to baseline. Finally, there was only a modest drop in blood pressure. These findings are classic for POTS. POTS is defined as symptomatic orthostasis with a heart rate increase of 30 bpm or a heart rate of 120 bpm. The physiologic lesions found in the syndrome are heterogeneous, but they all lead to a failure of orthostatic compensation. In POTS, the tachycardia is a reflex secondary to hypotension (baroreceptor reflex) or reduced preload (cardiac mechanoreceptors), in contrast to inappropriate sinus tachycardia. Interestingly, blood pressure is usually preserved until the final moments preceding syncope, when venous return further declines, tachycardia decreases the diastolic filling time and stroke volume, and mean arterial pressure sharply falls.
The patient was started on labetalol (200 mg 3 times daily), and her symptoms worsened. She also developed nausea and constipation. Midodrine and pindolol were also tried without success. She was then switched to fludrocortisone, salt supplementation, and leg support stockings with dramatic improvement.
COMMENTARY
In 1871, DeCosta1 published a report on the irritable heart, noting an affliction of extreme fatigue and exercise intolerance that occurred suddenly and without obvious cause. Subsequently, the terms vasoregulatory asthenia and neurocirculatory asthenia were used to link cardiovascular symptoms to impaired regulation of peripheral blood flow.2, 3 The term POTS was first used in 1982 to describe a single patient with postural tachycardia without hypotension and palpitations, weakness, abdominal pain, and presyncope.4
POTS is one of several disorders of autonomic control associated with orthostatic intolerance. The criteria for diagnosis are listed in Table 1. POTS typically occurs in women between the ages of 15 and 50 but tends to present during adolescence or young adulthood. The physiology has only recently been elucidated. When a person stands, 500 cc of the total blood volume is displaced to the dependent extremities and inferior mesenteric vessels.5 Normally, orthostatic stabilization occurs in less than 1 minute via 3 mechanisms: baroreceptor input, sympathetic reflex tachycardia and vasoconstriction, and enhanced venous return via the pumping action of skeletal muscles and venoconstriction. In POTS, there is a failure of at least one of these mechanisms, leading to decreased venous return, a 40% reduction in stroke volume, and cerebral hypoperfusion.6
1. Consistent symptoms of orthostatic intolerance [may include excessive fatigue, exercise intolerance, recurrent syncope or near syncope, dizziness, nausea, tachycardia, palpitations, visual disturbances, blurred vision, tunnel vision, tremulousness, weakness (most noticeable in the legs), chest discomfort, shortness of breath, mood swings, and gastrointestinal complaints] |
2. Heart rate increase 30 bpm or heart rate 120 bpm within 10 min of standing or head‐up tilt |
3. Absence of a known cause of autonomic neuropathy |
POTS is divided into 2 major subtypes on the basis of pathophysiology.5, 7 The partial dysautonomic form is the most common and the type that this patient most likely had. In this form, the development of an acquired peripheral autonomic neuropathy results in a failure of sympathetic venoconstriction, which leads to excessive venous pooling in the lower extremities and splanchnic circulation.8, 9 Failure to mobilize this venous reservoir upon standing leads to excessive orthostatic tachycardia secondary to a marked reduction in stroke volume. Peripheral arterial vasoconstriction is generally preserved, which is why midodrine, an arterial vasoconstrictor, did not improve symptoms. The labetalol may have further exacerbated peripheral pooling because of its alpha‐adrenergic blocking properties. Because total plasma volume is decreased and plasma renin activity is inappropriately low,10 volume expanders, including salt, low‐dose steroids, and fluids, can attenuate symptoms.11 The extrinsic venous compression from leg and abdominal support stockings may also dramatically reduce venous pooling.
In the less common hyperadrenergic form of POTS, patients may have orthostatic hypertension, tremulousness, cold, sweaty extremities, and anxiety due to an exaggerated response to beta‐adrenergic stimulation.7 The excessive sympathetic activity, which is poorly modulated by baroreflex activity, may be due to impaired mechanisms of norepinephrine reuptake by sympathetic ganglia.12 Consequently, serum norepinephrine levels are markedly elevated (>600 pg/mL).5
In adults, the presence of a POTS trigger is common and is usually an antecedent viral illness. Antibodies to the ganglionic acetylcholine receptor have been found in a subset of POTS patients,13 and this may suggest an idiopathic or postinflammatory autoimmune mechanism.14 This patient's presentation is unique because her symptoms developed after C5C6 spine surgery. The cervical spinal cord and sympathetic ganglia are dense with nerves involved in autonomic cardiovascular control, and damage to these fibers could explain the patient's physiology and symptoms. Among these, the descending vasomotor pathways traverse through the C5C8 area to innervate the splanchnic and leg venous circulation, receiving input from the heart along the way.15 The pattern of numbness and tingling fits the C5/C6 dermatomal distribution, as does the innervation of the radial artery. The frequent PVCs with a left bundle branch block pattern and inferior axis appear to arise from the right ventricular outflow tract and may be associated with regional sympathetic denervation, which has been described in idiopathic ventricular arrhythmias.16 POTS has been anecdotally reported after neck injury from motor vehicle accidents (whiplash), which is also thought to be related to cervical sympathetic nerve damage (B.P. Grubb, personal communication, 2005). Most cases of triggered POTS improve spontaneously after months to years, but this patient's prognosis remains uncertain because of the presumed mechanical disruption of the autonomic nerve fibers at the time of surgery.
This case demonstrates the complexities of arriving at a unifying diagnosis in the setting of a constellation of nonspecific symptoms and findings, some of which even suggest life‐threatening conditions. Because young women are primarily affected, symptoms of POTS can be mistakenly attributed to anxiety or other nonphysiological factors. A systematic approach excluded life‐threatening causes, including primary ventricular arrhythmias, coronary vasospasm, and coronary anomalies. The investigations narrowed the differential diagnosis, and the tilt‐table test confirmed POTS. Because the cardiac and circulatory dysautonomias encompass an array of distinct physiologic processes, understanding the patient's mechanism is critical to her management. The only effective therapies were those that counteracted venous pooling and improved venous return.
Teaching Points
-
The differential diagnosis of exertional syncope is extremely broad, ranging from benign to malignant conditions, and requires a systematic evaluation of the heart and circulatory system.
-
The diagnosis of POTS is elusive and frequently missed. Referral for tilt‐table testing is useful in identifying the mechanism of sinus tachycardia and syncope. Marked orthostatic tachycardia and symptoms of cerebral hypoperfusion out of proportion to the degree of hypotension strongly suggest POTS.
-
Cardiac and circulatory dysautonomias have distinct and varied mechanisms. Therapies, including beta‐blockers, vasoconstrictors, and volume expanders, must be directed at the underlying physiological defect.
- An irritable heart.Am J Med Sci.1871;27:145–161. .
- Low physical working capacity in suspected heart cases due to inadequate adjustment of peripheral blood flow (vasoregulatory asthenia).Acta Med Scand.1957;158(6):413–436. , , , , , .
- Orthostatic tachycardia and orthostatic hypotension: defects in the return of venous blood to the heart.Am Heart J.1944;27:145–163. , , .
- Postural tachycardia syndrome. Reversal of sympathetic hyperresponsiveness and clinical improvement during sodium loading.Am J Med.1982;72(5):847–850. , .
- The postural orthostatic tachycardia syndrome: definitions, diagnosis, and management.Pacing Clin Electrophysiol.2003;26(8):1747– 1757. , , .
- Clinical disorders of the autonomic nervous system associated with orthostatic intolerance: an overview of classification, clinical evaluation, and management.Pacing Clin Electrophysiol.1999;22(5):798–810. , .
- Idiopathic orthostatic intolerance and postural tachycardia syndromes.Am J Med Sci.1999;317(2):88–101. , .
- Splanchnic‐mesenteric capacitance bed in the postural tachycardia syndrome (POTS).Auton Neurosci.2000;86(1–2):107–113. , , , et al.
- Abnormal orthostatic changes in blood pressure and heart rate in subjects with intact sympathetic nervous function: evidence for excessive venous pooling.J Lab Clin Med.1988;111(3):326–335. , , , .
- Renin‐aldosterone paradox and perturbed blood volume regulation underlying postural tachycardia syndrome.Circulation.2005;111(13):1574–1582. , , , et al.
- Clinical practice. Neurocardiogenic syncope.N Engl J Med.2005;352(10):1004–1010. .
- Orthostatic intolerance and tachycardia associated with norepinephrine‐transporter deficiency.N Engl J Med.2000;342(8):541–549. , , , et al.
- Autoantibodies to ganglionic acetylcholine receptors in autoimmune autonomic neuropathies.N Engl J Med.2000;343(12):847–855. , , , , , .
- The postural tachycardia syndrome: a concise guide to diagnosis and management.J Cardiovasc Electrophysiol.2006;17(1):108–112. , , .
- Neurovegetative regulation of the vascular system. In:Lanzer P,Topol EJ, eds.Panvascular Medicine.Berlin, Germany:Springer‐Verlag;2002:175–187. , , .
- Regional cardiac sympathetic denervation in patients with ventricular tachycardia in the absence of coronary artery disease.J Am Coll Cardiol.1993;22(5):1344–1353. , , , et al.
The approach to clinical conundrums by an expert clinician is revealed through presentation of an actual patient's case in an approach typical of morning report. Similar to patient care, sequential pieces of information are provided to the clinician who is unfamiliar with the case. The focus is on the thought processes of both the clinical team caring for the patient and the discussant.
A30‐year‐old woman was referred for evaluation of chest pain, palpitations, and exercise intolerance. She had been previously healthy, active, and physically fit. Five months prior to our evaluation, she had an elective C5C6 cervical spine discectomy with interbody allograft fusion for a chronic neck injury that occurred 11 years ago during gymnastics. Two weeks after spine surgery, the patient developed numbness and tingling of her left thumb and palm that occurred with exertion or exposure to cold and subsided with rest. These episodes increased in frequency and intensity and after 1 week became associated with sharp, occasionally stabbing chest pain that radiated to the left arm. On one occasion, the patient had an episode of exertional chest pain with prolonged left arm cyanosis. Emergent left upper extremity angiography revealed normal great vessel anatomy with spasm of the radial artery and collateral ulnar flow. The patient was diagnosed with Raynaud's phenomenon and was started on nifedipine. A subsequent rheumatologic evaluation was unrevealing, and the patient was empirically switched to amlodipine with no improvement in symptoms.
This otherwise very healthy 30‐year‐old developed a multitude of symptoms. The patient's chest pain is atypical and in a young woman is unlikely to signify atherosclerotic coronary disease, but it should not be entirely disregarded. Vasospasm triggered by exposure to cold does raise suspicion for Raynaud's phenomenon, which is not uncommon in this demographic. However, this presentation is quite unusual because the vasospasm was limited to one vascular distribution of one extremity. Associated coronary vasospasm could explain the other symptoms, although coronary spasm is generally not associated with Raynaud's phenomenon. Vasculitis may also affect the pulmonary vasculature, leading to pulmonary hypertension and exercise intolerance. The temporal association with her spine surgery is intriguing but of unclear significance.
The patient continued to have frequent exertional episodes of sharp precordial chest pain radiating to her left arm that were accompanied by dyspnea and left upper extremity symptoms despite amlodipine therapy. These now occurred with limited activity when she walked 1 to 2 blocks uphill. Over the previous 2 months, she had also noticed palpitations occurring reliably with exercise that were relieved with 15 to 20 min of rest. With prolonged episodes, she reported dizziness, nausea, and blurry vision that improved with lying down. She twice had syncope with these symptoms. She noted lower extremity edema while taking calcium channel blockers, but this had resolved after discontinuation of the drugs.
The patient's past medical history included several high‐school orthopedic injuries. She had 2 kidney stones at ages 18 and 23 and had an appendectomy at age 28. Her only medication was an oral contraceptive, and she had discontinued the amlodipine. She denied the use of tobacco, alcohol, herbal medications, or illicit substances. There was no family history of sudden death or heart disease.
Palpitations in a 30‐year‐old woman may signify a cardiac arrhythmia. Paroxysmal supraventricular arrhythmias, such as atrioventricular nodal reentrant tachycardia, atrial tachycardia, and atrial fibrillation, are well described in the young. Ventricular tachycardia (VT) is another possible cause and could be idiopathic or related to occult structural heart disease. Young patients typically tolerate lone arrhythmias quite well, and her failure to do so raises suspicion for concomitant structural heart disease. Her palpitations may be from appropriate sinus tachycardia, which could be compensatory because of inadequate cardiac output reserve, which in turn could be caused by valvular disease, congenital heart disease, or ventricular dysfunction. The exertional chest pain is worrisome for ischemia. Pulmonary hypertension, severe ventricular hypertrophy, or congenital anomalies of the coronary circulation could lead to subendocardial myocardial ischemia with exertion, resulting in angina, dyspnea, and arrhythmias. However, the patient also experiences exertional palpitations without chest pain, which may signify an exertional tachyarrhythmia possibly mediated by catecholamines. Based solely on the history, the differential diagnosis remains broad.
On physical examination, the patient was a fit, thin, healthy woman. Her blood pressure was 120/70 mm Hg supine in both arms and 115/75 mm Hg standing; her pulse was 85 supine and 110 standing, Oxygen saturation was 100% on room air. A cardiac exam revealed a normal jugular venous pressure, normal point of maximal impulse, regular rhythm with occasional ectopy, normal S1, and physiologically split S2 without extra heart sounds or murmurs. The right ventricular impulse was faintly palpable at the left sternal border. Head, neck, chest, abdominal, musculoskeletal, neurologic, extremity, and peripheral pulse examinations were normal.
Laboratory data showed a normal complete blood count and normal chemistries. Serum tests for hepatitis C antibody, cardiolipin antibody, rheumatoid factor, cryoglobulins, and anti‐nuclear antibody were negative. The erythrocyte sedimentation rate and thyroid stimulating hormone levels were within normal limits. An electrocardiogram (ECG) demonstrated a normal sinus rhythm with frequent premature ventricular complexes (PVCs) and normal axis and intervals. (Figure 1). The PR segment was normal and without preexcitation. A prior ECG from 3 months ago was similar with ventricular trigeminy.

Her unremarkable cardiac examination does not favor structural or valvular heart disease, and there are no obvious stigmata of vasculitis. She did become mildly tachycardic upon standing, and this raises the possibility of orthostatic tachycardia. A comprehensive rheumatologic panel revealed no evidence of autoimmune disease or vasculitis, and the clinical constellation is not consistent with primary or secondary Raynaud's disease. The ECG demonstrates frequent monomorphic PVCs complexes with a left bundle branch block pattern and an inferior axis. This pattern suggests that the PVCs arise from the right ventricular outflow tract. Idiopathic right ventricular outflow tract VT and arrhythmogenic right ventricular dysplasia must be considered as a cause of exertional or catecholamine‐mediated tachycardia. The normal ECG argues against arrhythmogenic right ventricular dysplasia, in which patients typically have incomplete or complete right bundle branch block, right precordial T wave abnormalities, and occasionally epsilon waves. Her QT interval is normal, but excluding long‐QT syndrome with a single ECG has poor sensitivity. The next critical step is to document her cardiac rhythm during symptoms and to exclude malignant arrhythmias.
An event recorder and exercise echocardiogram were ordered. While the patient was wearing her event recorder, she had 4 episodes of exertional syncope while hiking and successfully triggered event recording before losing consciousness. She had chest pain and left arm pain after regaining consciousness. The patient came to the emergency room for evaluation. Her blood pressure was 116/80 mm Hg supine and 112/70 mm Hg seated. Her heart rate increased from 82 supine to 132 seated. The physical examination was unremarkable. ECG showed sinus rhythm with frequent PVCs. Troponin‐I measurements 10 hours apart were 0.7 and 0.3 g/L (normal < 1.1), with normal creatinine kinase and creatinine kinase MB fractions. Interrogation of the event recorder revealed multiple episodes of a narrow complex tachycardia with rates up to 180 bpm that correlated with symptoms (Figure 2). There were no episodes of wide complex tachycardia.

The patient was not hypotensive in the emergency room, but she had evidence of a marked orthostatic tachycardia. The minimal but significant troponin elevations are also troubling. Although her clinical picture is not consistent with an acute coronary syndrome, I am concerned about other mechanisms of myocardial ischemia or injury, such as a coronary anomaly or subendocardial ischemia from globally reduced myocardial perfusion. The presence of event recorder data from her syncopal events was fortuitous and revealed a supraventricular tachycardia. The arrhythmia was gradual in onset and resolution and had no triggers, such as premature atrial or ventricular complexes, which could suggest reentrant arrhythmias. The P wave morphology was also unchanged, and this argues against an atrial tachycardia. These findings are consistent with sinus tachycardia, which was notably out of proportion to her workload. This arrhythmia may be the primary cause of syncope, such as in inappropriate sinus tachycardia, or it may be a compensatory mechanism. Tachycardia from coronary vasospasm is often preceded by ST segment changes, which are not seen here. Although the event recorder had no episodes of VT, the patient's persistent frequent PVCs are still of concern. I would obtain an echocardiogram to exclude structural heart disease and an exercise test to exclude exertional VT. Finally, coronary angiography may be helpful in excluding congenital anomalies.
The patient was admitted for evaluation. An exercise treadmill test was performed, and the patient exercised 20 min on the standard Bruce protocol with a peak heart rate of 180 bpm. The test was notable for a premature rise in heart rate (in stage 1) without a rise in blood pressure. There were no symptoms or ST/T wave changes. Transthoracic echocardiogram showed normal left ventricular size and function with normal anatomy, valves, and hemodynamics. Coronary angiography showed a right dominant system with normal anatomy and no atherosclerotic disease.
Ventricular arrhythmias could not be elicited with exercise. Her high exercise tolerance virtually excluded hemodynamically significant structural or valvular disease, and this was confirmed by the echocardiogram. Coronary angiography excluded coronary anomalies and myocardial bridging. The most intriguing finding is the rise in the patient's heart rate out of proportion to the workload. This, along with her orthostatic tachycardia, raises the issue of inappropriate sinus tachycardia or postural orthostatic tachycardia syndrome (POTS). Carotid hypersensitivity is also a possibility. The patient was hiking when she fainted, and even light pressure on the patient's neck with head turning or from a camera strap, for example, could produce syncope. Although carotid hypersensitivity usually results in sinus bradycardia and AV block, it may be followed by reflex tachycardia, which was seen in this patient's event recordings. I would perform a tilt‐table test with carotid massage to make the diagnosis.
Tilt‐table testing was performed (Figure 3). Her supine blood pressure was 128/68 mm Hg, and her heart rate was 72 bpm with no change during the 10‐min supine period. Upon elevation to a 70‐degree tilt, the patient had an immediate increase in her heart rate to 160 bpm with a blood pressure nadir of 109/58 mm Hg and symptoms of palpitations, dizziness, dyspnea, chest pain, blurry vision, and nausea. Her peak heart rate was 172 bpm, and her peak blood pressure was 122/72 mm Hg. Vital signs did not change in response to carotid sinus massage in the supine or upright positions.

The tilt‐table test has 3 notable findings. First, her heart rate increased rapidly with tilt and decreased rapidly in supine recovery. Second, her usual symptoms started immediately after tilt and quickly resolved in recovery when vital signs returned to baseline. Finally, there was only a modest drop in blood pressure. These findings are classic for POTS. POTS is defined as symptomatic orthostasis with a heart rate increase of 30 bpm or a heart rate of 120 bpm. The physiologic lesions found in the syndrome are heterogeneous, but they all lead to a failure of orthostatic compensation. In POTS, the tachycardia is a reflex secondary to hypotension (baroreceptor reflex) or reduced preload (cardiac mechanoreceptors), in contrast to inappropriate sinus tachycardia. Interestingly, blood pressure is usually preserved until the final moments preceding syncope, when venous return further declines, tachycardia decreases the diastolic filling time and stroke volume, and mean arterial pressure sharply falls.
The patient was started on labetalol (200 mg 3 times daily), and her symptoms worsened. She also developed nausea and constipation. Midodrine and pindolol were also tried without success. She was then switched to fludrocortisone, salt supplementation, and leg support stockings with dramatic improvement.
COMMENTARY
In 1871, DeCosta1 published a report on the irritable heart, noting an affliction of extreme fatigue and exercise intolerance that occurred suddenly and without obvious cause. Subsequently, the terms vasoregulatory asthenia and neurocirculatory asthenia were used to link cardiovascular symptoms to impaired regulation of peripheral blood flow.2, 3 The term POTS was first used in 1982 to describe a single patient with postural tachycardia without hypotension and palpitations, weakness, abdominal pain, and presyncope.4
POTS is one of several disorders of autonomic control associated with orthostatic intolerance. The criteria for diagnosis are listed in Table 1. POTS typically occurs in women between the ages of 15 and 50 but tends to present during adolescence or young adulthood. The physiology has only recently been elucidated. When a person stands, 500 cc of the total blood volume is displaced to the dependent extremities and inferior mesenteric vessels.5 Normally, orthostatic stabilization occurs in less than 1 minute via 3 mechanisms: baroreceptor input, sympathetic reflex tachycardia and vasoconstriction, and enhanced venous return via the pumping action of skeletal muscles and venoconstriction. In POTS, there is a failure of at least one of these mechanisms, leading to decreased venous return, a 40% reduction in stroke volume, and cerebral hypoperfusion.6
1. Consistent symptoms of orthostatic intolerance [may include excessive fatigue, exercise intolerance, recurrent syncope or near syncope, dizziness, nausea, tachycardia, palpitations, visual disturbances, blurred vision, tunnel vision, tremulousness, weakness (most noticeable in the legs), chest discomfort, shortness of breath, mood swings, and gastrointestinal complaints] |
2. Heart rate increase 30 bpm or heart rate 120 bpm within 10 min of standing or head‐up tilt |
3. Absence of a known cause of autonomic neuropathy |
POTS is divided into 2 major subtypes on the basis of pathophysiology.5, 7 The partial dysautonomic form is the most common and the type that this patient most likely had. In this form, the development of an acquired peripheral autonomic neuropathy results in a failure of sympathetic venoconstriction, which leads to excessive venous pooling in the lower extremities and splanchnic circulation.8, 9 Failure to mobilize this venous reservoir upon standing leads to excessive orthostatic tachycardia secondary to a marked reduction in stroke volume. Peripheral arterial vasoconstriction is generally preserved, which is why midodrine, an arterial vasoconstrictor, did not improve symptoms. The labetalol may have further exacerbated peripheral pooling because of its alpha‐adrenergic blocking properties. Because total plasma volume is decreased and plasma renin activity is inappropriately low,10 volume expanders, including salt, low‐dose steroids, and fluids, can attenuate symptoms.11 The extrinsic venous compression from leg and abdominal support stockings may also dramatically reduce venous pooling.
In the less common hyperadrenergic form of POTS, patients may have orthostatic hypertension, tremulousness, cold, sweaty extremities, and anxiety due to an exaggerated response to beta‐adrenergic stimulation.7 The excessive sympathetic activity, which is poorly modulated by baroreflex activity, may be due to impaired mechanisms of norepinephrine reuptake by sympathetic ganglia.12 Consequently, serum norepinephrine levels are markedly elevated (>600 pg/mL).5
In adults, the presence of a POTS trigger is common and is usually an antecedent viral illness. Antibodies to the ganglionic acetylcholine receptor have been found in a subset of POTS patients,13 and this may suggest an idiopathic or postinflammatory autoimmune mechanism.14 This patient's presentation is unique because her symptoms developed after C5C6 spine surgery. The cervical spinal cord and sympathetic ganglia are dense with nerves involved in autonomic cardiovascular control, and damage to these fibers could explain the patient's physiology and symptoms. Among these, the descending vasomotor pathways traverse through the C5C8 area to innervate the splanchnic and leg venous circulation, receiving input from the heart along the way.15 The pattern of numbness and tingling fits the C5/C6 dermatomal distribution, as does the innervation of the radial artery. The frequent PVCs with a left bundle branch block pattern and inferior axis appear to arise from the right ventricular outflow tract and may be associated with regional sympathetic denervation, which has been described in idiopathic ventricular arrhythmias.16 POTS has been anecdotally reported after neck injury from motor vehicle accidents (whiplash), which is also thought to be related to cervical sympathetic nerve damage (B.P. Grubb, personal communication, 2005). Most cases of triggered POTS improve spontaneously after months to years, but this patient's prognosis remains uncertain because of the presumed mechanical disruption of the autonomic nerve fibers at the time of surgery.
This case demonstrates the complexities of arriving at a unifying diagnosis in the setting of a constellation of nonspecific symptoms and findings, some of which even suggest life‐threatening conditions. Because young women are primarily affected, symptoms of POTS can be mistakenly attributed to anxiety or other nonphysiological factors. A systematic approach excluded life‐threatening causes, including primary ventricular arrhythmias, coronary vasospasm, and coronary anomalies. The investigations narrowed the differential diagnosis, and the tilt‐table test confirmed POTS. Because the cardiac and circulatory dysautonomias encompass an array of distinct physiologic processes, understanding the patient's mechanism is critical to her management. The only effective therapies were those that counteracted venous pooling and improved venous return.
Teaching Points
-
The differential diagnosis of exertional syncope is extremely broad, ranging from benign to malignant conditions, and requires a systematic evaluation of the heart and circulatory system.
-
The diagnosis of POTS is elusive and frequently missed. Referral for tilt‐table testing is useful in identifying the mechanism of sinus tachycardia and syncope. Marked orthostatic tachycardia and symptoms of cerebral hypoperfusion out of proportion to the degree of hypotension strongly suggest POTS.
-
Cardiac and circulatory dysautonomias have distinct and varied mechanisms. Therapies, including beta‐blockers, vasoconstrictors, and volume expanders, must be directed at the underlying physiological defect.
The approach to clinical conundrums by an expert clinician is revealed through presentation of an actual patient's case in an approach typical of morning report. Similar to patient care, sequential pieces of information are provided to the clinician who is unfamiliar with the case. The focus is on the thought processes of both the clinical team caring for the patient and the discussant.
A30‐year‐old woman was referred for evaluation of chest pain, palpitations, and exercise intolerance. She had been previously healthy, active, and physically fit. Five months prior to our evaluation, she had an elective C5C6 cervical spine discectomy with interbody allograft fusion for a chronic neck injury that occurred 11 years ago during gymnastics. Two weeks after spine surgery, the patient developed numbness and tingling of her left thumb and palm that occurred with exertion or exposure to cold and subsided with rest. These episodes increased in frequency and intensity and after 1 week became associated with sharp, occasionally stabbing chest pain that radiated to the left arm. On one occasion, the patient had an episode of exertional chest pain with prolonged left arm cyanosis. Emergent left upper extremity angiography revealed normal great vessel anatomy with spasm of the radial artery and collateral ulnar flow. The patient was diagnosed with Raynaud's phenomenon and was started on nifedipine. A subsequent rheumatologic evaluation was unrevealing, and the patient was empirically switched to amlodipine with no improvement in symptoms.
This otherwise very healthy 30‐year‐old developed a multitude of symptoms. The patient's chest pain is atypical and in a young woman is unlikely to signify atherosclerotic coronary disease, but it should not be entirely disregarded. Vasospasm triggered by exposure to cold does raise suspicion for Raynaud's phenomenon, which is not uncommon in this demographic. However, this presentation is quite unusual because the vasospasm was limited to one vascular distribution of one extremity. Associated coronary vasospasm could explain the other symptoms, although coronary spasm is generally not associated with Raynaud's phenomenon. Vasculitis may also affect the pulmonary vasculature, leading to pulmonary hypertension and exercise intolerance. The temporal association with her spine surgery is intriguing but of unclear significance.
The patient continued to have frequent exertional episodes of sharp precordial chest pain radiating to her left arm that were accompanied by dyspnea and left upper extremity symptoms despite amlodipine therapy. These now occurred with limited activity when she walked 1 to 2 blocks uphill. Over the previous 2 months, she had also noticed palpitations occurring reliably with exercise that were relieved with 15 to 20 min of rest. With prolonged episodes, she reported dizziness, nausea, and blurry vision that improved with lying down. She twice had syncope with these symptoms. She noted lower extremity edema while taking calcium channel blockers, but this had resolved after discontinuation of the drugs.
The patient's past medical history included several high‐school orthopedic injuries. She had 2 kidney stones at ages 18 and 23 and had an appendectomy at age 28. Her only medication was an oral contraceptive, and she had discontinued the amlodipine. She denied the use of tobacco, alcohol, herbal medications, or illicit substances. There was no family history of sudden death or heart disease.
Palpitations in a 30‐year‐old woman may signify a cardiac arrhythmia. Paroxysmal supraventricular arrhythmias, such as atrioventricular nodal reentrant tachycardia, atrial tachycardia, and atrial fibrillation, are well described in the young. Ventricular tachycardia (VT) is another possible cause and could be idiopathic or related to occult structural heart disease. Young patients typically tolerate lone arrhythmias quite well, and her failure to do so raises suspicion for concomitant structural heart disease. Her palpitations may be from appropriate sinus tachycardia, which could be compensatory because of inadequate cardiac output reserve, which in turn could be caused by valvular disease, congenital heart disease, or ventricular dysfunction. The exertional chest pain is worrisome for ischemia. Pulmonary hypertension, severe ventricular hypertrophy, or congenital anomalies of the coronary circulation could lead to subendocardial myocardial ischemia with exertion, resulting in angina, dyspnea, and arrhythmias. However, the patient also experiences exertional palpitations without chest pain, which may signify an exertional tachyarrhythmia possibly mediated by catecholamines. Based solely on the history, the differential diagnosis remains broad.
On physical examination, the patient was a fit, thin, healthy woman. Her blood pressure was 120/70 mm Hg supine in both arms and 115/75 mm Hg standing; her pulse was 85 supine and 110 standing, Oxygen saturation was 100% on room air. A cardiac exam revealed a normal jugular venous pressure, normal point of maximal impulse, regular rhythm with occasional ectopy, normal S1, and physiologically split S2 without extra heart sounds or murmurs. The right ventricular impulse was faintly palpable at the left sternal border. Head, neck, chest, abdominal, musculoskeletal, neurologic, extremity, and peripheral pulse examinations were normal.
Laboratory data showed a normal complete blood count and normal chemistries. Serum tests for hepatitis C antibody, cardiolipin antibody, rheumatoid factor, cryoglobulins, and anti‐nuclear antibody were negative. The erythrocyte sedimentation rate and thyroid stimulating hormone levels were within normal limits. An electrocardiogram (ECG) demonstrated a normal sinus rhythm with frequent premature ventricular complexes (PVCs) and normal axis and intervals. (Figure 1). The PR segment was normal and without preexcitation. A prior ECG from 3 months ago was similar with ventricular trigeminy.

Her unremarkable cardiac examination does not favor structural or valvular heart disease, and there are no obvious stigmata of vasculitis. She did become mildly tachycardic upon standing, and this raises the possibility of orthostatic tachycardia. A comprehensive rheumatologic panel revealed no evidence of autoimmune disease or vasculitis, and the clinical constellation is not consistent with primary or secondary Raynaud's disease. The ECG demonstrates frequent monomorphic PVCs complexes with a left bundle branch block pattern and an inferior axis. This pattern suggests that the PVCs arise from the right ventricular outflow tract. Idiopathic right ventricular outflow tract VT and arrhythmogenic right ventricular dysplasia must be considered as a cause of exertional or catecholamine‐mediated tachycardia. The normal ECG argues against arrhythmogenic right ventricular dysplasia, in which patients typically have incomplete or complete right bundle branch block, right precordial T wave abnormalities, and occasionally epsilon waves. Her QT interval is normal, but excluding long‐QT syndrome with a single ECG has poor sensitivity. The next critical step is to document her cardiac rhythm during symptoms and to exclude malignant arrhythmias.
An event recorder and exercise echocardiogram were ordered. While the patient was wearing her event recorder, she had 4 episodes of exertional syncope while hiking and successfully triggered event recording before losing consciousness. She had chest pain and left arm pain after regaining consciousness. The patient came to the emergency room for evaluation. Her blood pressure was 116/80 mm Hg supine and 112/70 mm Hg seated. Her heart rate increased from 82 supine to 132 seated. The physical examination was unremarkable. ECG showed sinus rhythm with frequent PVCs. Troponin‐I measurements 10 hours apart were 0.7 and 0.3 g/L (normal < 1.1), with normal creatinine kinase and creatinine kinase MB fractions. Interrogation of the event recorder revealed multiple episodes of a narrow complex tachycardia with rates up to 180 bpm that correlated with symptoms (Figure 2). There were no episodes of wide complex tachycardia.

The patient was not hypotensive in the emergency room, but she had evidence of a marked orthostatic tachycardia. The minimal but significant troponin elevations are also troubling. Although her clinical picture is not consistent with an acute coronary syndrome, I am concerned about other mechanisms of myocardial ischemia or injury, such as a coronary anomaly or subendocardial ischemia from globally reduced myocardial perfusion. The presence of event recorder data from her syncopal events was fortuitous and revealed a supraventricular tachycardia. The arrhythmia was gradual in onset and resolution and had no triggers, such as premature atrial or ventricular complexes, which could suggest reentrant arrhythmias. The P wave morphology was also unchanged, and this argues against an atrial tachycardia. These findings are consistent with sinus tachycardia, which was notably out of proportion to her workload. This arrhythmia may be the primary cause of syncope, such as in inappropriate sinus tachycardia, or it may be a compensatory mechanism. Tachycardia from coronary vasospasm is often preceded by ST segment changes, which are not seen here. Although the event recorder had no episodes of VT, the patient's persistent frequent PVCs are still of concern. I would obtain an echocardiogram to exclude structural heart disease and an exercise test to exclude exertional VT. Finally, coronary angiography may be helpful in excluding congenital anomalies.
The patient was admitted for evaluation. An exercise treadmill test was performed, and the patient exercised 20 min on the standard Bruce protocol with a peak heart rate of 180 bpm. The test was notable for a premature rise in heart rate (in stage 1) without a rise in blood pressure. There were no symptoms or ST/T wave changes. Transthoracic echocardiogram showed normal left ventricular size and function with normal anatomy, valves, and hemodynamics. Coronary angiography showed a right dominant system with normal anatomy and no atherosclerotic disease.
Ventricular arrhythmias could not be elicited with exercise. Her high exercise tolerance virtually excluded hemodynamically significant structural or valvular disease, and this was confirmed by the echocardiogram. Coronary angiography excluded coronary anomalies and myocardial bridging. The most intriguing finding is the rise in the patient's heart rate out of proportion to the workload. This, along with her orthostatic tachycardia, raises the issue of inappropriate sinus tachycardia or postural orthostatic tachycardia syndrome (POTS). Carotid hypersensitivity is also a possibility. The patient was hiking when she fainted, and even light pressure on the patient's neck with head turning or from a camera strap, for example, could produce syncope. Although carotid hypersensitivity usually results in sinus bradycardia and AV block, it may be followed by reflex tachycardia, which was seen in this patient's event recordings. I would perform a tilt‐table test with carotid massage to make the diagnosis.
Tilt‐table testing was performed (Figure 3). Her supine blood pressure was 128/68 mm Hg, and her heart rate was 72 bpm with no change during the 10‐min supine period. Upon elevation to a 70‐degree tilt, the patient had an immediate increase in her heart rate to 160 bpm with a blood pressure nadir of 109/58 mm Hg and symptoms of palpitations, dizziness, dyspnea, chest pain, blurry vision, and nausea. Her peak heart rate was 172 bpm, and her peak blood pressure was 122/72 mm Hg. Vital signs did not change in response to carotid sinus massage in the supine or upright positions.

The tilt‐table test has 3 notable findings. First, her heart rate increased rapidly with tilt and decreased rapidly in supine recovery. Second, her usual symptoms started immediately after tilt and quickly resolved in recovery when vital signs returned to baseline. Finally, there was only a modest drop in blood pressure. These findings are classic for POTS. POTS is defined as symptomatic orthostasis with a heart rate increase of 30 bpm or a heart rate of 120 bpm. The physiologic lesions found in the syndrome are heterogeneous, but they all lead to a failure of orthostatic compensation. In POTS, the tachycardia is a reflex secondary to hypotension (baroreceptor reflex) or reduced preload (cardiac mechanoreceptors), in contrast to inappropriate sinus tachycardia. Interestingly, blood pressure is usually preserved until the final moments preceding syncope, when venous return further declines, tachycardia decreases the diastolic filling time and stroke volume, and mean arterial pressure sharply falls.
The patient was started on labetalol (200 mg 3 times daily), and her symptoms worsened. She also developed nausea and constipation. Midodrine and pindolol were also tried without success. She was then switched to fludrocortisone, salt supplementation, and leg support stockings with dramatic improvement.
COMMENTARY
In 1871, DeCosta1 published a report on the irritable heart, noting an affliction of extreme fatigue and exercise intolerance that occurred suddenly and without obvious cause. Subsequently, the terms vasoregulatory asthenia and neurocirculatory asthenia were used to link cardiovascular symptoms to impaired regulation of peripheral blood flow.2, 3 The term POTS was first used in 1982 to describe a single patient with postural tachycardia without hypotension and palpitations, weakness, abdominal pain, and presyncope.4
POTS is one of several disorders of autonomic control associated with orthostatic intolerance. The criteria for diagnosis are listed in Table 1. POTS typically occurs in women between the ages of 15 and 50 but tends to present during adolescence or young adulthood. The physiology has only recently been elucidated. When a person stands, 500 cc of the total blood volume is displaced to the dependent extremities and inferior mesenteric vessels.5 Normally, orthostatic stabilization occurs in less than 1 minute via 3 mechanisms: baroreceptor input, sympathetic reflex tachycardia and vasoconstriction, and enhanced venous return via the pumping action of skeletal muscles and venoconstriction. In POTS, there is a failure of at least one of these mechanisms, leading to decreased venous return, a 40% reduction in stroke volume, and cerebral hypoperfusion.6
1. Consistent symptoms of orthostatic intolerance [may include excessive fatigue, exercise intolerance, recurrent syncope or near syncope, dizziness, nausea, tachycardia, palpitations, visual disturbances, blurred vision, tunnel vision, tremulousness, weakness (most noticeable in the legs), chest discomfort, shortness of breath, mood swings, and gastrointestinal complaints] |
2. Heart rate increase 30 bpm or heart rate 120 bpm within 10 min of standing or head‐up tilt |
3. Absence of a known cause of autonomic neuropathy |
POTS is divided into 2 major subtypes on the basis of pathophysiology.5, 7 The partial dysautonomic form is the most common and the type that this patient most likely had. In this form, the development of an acquired peripheral autonomic neuropathy results in a failure of sympathetic venoconstriction, which leads to excessive venous pooling in the lower extremities and splanchnic circulation.8, 9 Failure to mobilize this venous reservoir upon standing leads to excessive orthostatic tachycardia secondary to a marked reduction in stroke volume. Peripheral arterial vasoconstriction is generally preserved, which is why midodrine, an arterial vasoconstrictor, did not improve symptoms. The labetalol may have further exacerbated peripheral pooling because of its alpha‐adrenergic blocking properties. Because total plasma volume is decreased and plasma renin activity is inappropriately low,10 volume expanders, including salt, low‐dose steroids, and fluids, can attenuate symptoms.11 The extrinsic venous compression from leg and abdominal support stockings may also dramatically reduce venous pooling.
In the less common hyperadrenergic form of POTS, patients may have orthostatic hypertension, tremulousness, cold, sweaty extremities, and anxiety due to an exaggerated response to beta‐adrenergic stimulation.7 The excessive sympathetic activity, which is poorly modulated by baroreflex activity, may be due to impaired mechanisms of norepinephrine reuptake by sympathetic ganglia.12 Consequently, serum norepinephrine levels are markedly elevated (>600 pg/mL).5
In adults, the presence of a POTS trigger is common and is usually an antecedent viral illness. Antibodies to the ganglionic acetylcholine receptor have been found in a subset of POTS patients,13 and this may suggest an idiopathic or postinflammatory autoimmune mechanism.14 This patient's presentation is unique because her symptoms developed after C5C6 spine surgery. The cervical spinal cord and sympathetic ganglia are dense with nerves involved in autonomic cardiovascular control, and damage to these fibers could explain the patient's physiology and symptoms. Among these, the descending vasomotor pathways traverse through the C5C8 area to innervate the splanchnic and leg venous circulation, receiving input from the heart along the way.15 The pattern of numbness and tingling fits the C5/C6 dermatomal distribution, as does the innervation of the radial artery. The frequent PVCs with a left bundle branch block pattern and inferior axis appear to arise from the right ventricular outflow tract and may be associated with regional sympathetic denervation, which has been described in idiopathic ventricular arrhythmias.16 POTS has been anecdotally reported after neck injury from motor vehicle accidents (whiplash), which is also thought to be related to cervical sympathetic nerve damage (B.P. Grubb, personal communication, 2005). Most cases of triggered POTS improve spontaneously after months to years, but this patient's prognosis remains uncertain because of the presumed mechanical disruption of the autonomic nerve fibers at the time of surgery.
This case demonstrates the complexities of arriving at a unifying diagnosis in the setting of a constellation of nonspecific symptoms and findings, some of which even suggest life‐threatening conditions. Because young women are primarily affected, symptoms of POTS can be mistakenly attributed to anxiety or other nonphysiological factors. A systematic approach excluded life‐threatening causes, including primary ventricular arrhythmias, coronary vasospasm, and coronary anomalies. The investigations narrowed the differential diagnosis, and the tilt‐table test confirmed POTS. Because the cardiac and circulatory dysautonomias encompass an array of distinct physiologic processes, understanding the patient's mechanism is critical to her management. The only effective therapies were those that counteracted venous pooling and improved venous return.
Teaching Points
-
The differential diagnosis of exertional syncope is extremely broad, ranging from benign to malignant conditions, and requires a systematic evaluation of the heart and circulatory system.
-
The diagnosis of POTS is elusive and frequently missed. Referral for tilt‐table testing is useful in identifying the mechanism of sinus tachycardia and syncope. Marked orthostatic tachycardia and symptoms of cerebral hypoperfusion out of proportion to the degree of hypotension strongly suggest POTS.
-
Cardiac and circulatory dysautonomias have distinct and varied mechanisms. Therapies, including beta‐blockers, vasoconstrictors, and volume expanders, must be directed at the underlying physiological defect.
- An irritable heart.Am J Med Sci.1871;27:145–161. .
- Low physical working capacity in suspected heart cases due to inadequate adjustment of peripheral blood flow (vasoregulatory asthenia).Acta Med Scand.1957;158(6):413–436. , , , , , .
- Orthostatic tachycardia and orthostatic hypotension: defects in the return of venous blood to the heart.Am Heart J.1944;27:145–163. , , .
- Postural tachycardia syndrome. Reversal of sympathetic hyperresponsiveness and clinical improvement during sodium loading.Am J Med.1982;72(5):847–850. , .
- The postural orthostatic tachycardia syndrome: definitions, diagnosis, and management.Pacing Clin Electrophysiol.2003;26(8):1747– 1757. , , .
- Clinical disorders of the autonomic nervous system associated with orthostatic intolerance: an overview of classification, clinical evaluation, and management.Pacing Clin Electrophysiol.1999;22(5):798–810. , .
- Idiopathic orthostatic intolerance and postural tachycardia syndromes.Am J Med Sci.1999;317(2):88–101. , .
- Splanchnic‐mesenteric capacitance bed in the postural tachycardia syndrome (POTS).Auton Neurosci.2000;86(1–2):107–113. , , , et al.
- Abnormal orthostatic changes in blood pressure and heart rate in subjects with intact sympathetic nervous function: evidence for excessive venous pooling.J Lab Clin Med.1988;111(3):326–335. , , , .
- Renin‐aldosterone paradox and perturbed blood volume regulation underlying postural tachycardia syndrome.Circulation.2005;111(13):1574–1582. , , , et al.
- Clinical practice. Neurocardiogenic syncope.N Engl J Med.2005;352(10):1004–1010. .
- Orthostatic intolerance and tachycardia associated with norepinephrine‐transporter deficiency.N Engl J Med.2000;342(8):541–549. , , , et al.
- Autoantibodies to ganglionic acetylcholine receptors in autoimmune autonomic neuropathies.N Engl J Med.2000;343(12):847–855. , , , , , .
- The postural tachycardia syndrome: a concise guide to diagnosis and management.J Cardiovasc Electrophysiol.2006;17(1):108–112. , , .
- Neurovegetative regulation of the vascular system. In:Lanzer P,Topol EJ, eds.Panvascular Medicine.Berlin, Germany:Springer‐Verlag;2002:175–187. , , .
- Regional cardiac sympathetic denervation in patients with ventricular tachycardia in the absence of coronary artery disease.J Am Coll Cardiol.1993;22(5):1344–1353. , , , et al.
- An irritable heart.Am J Med Sci.1871;27:145–161. .
- Low physical working capacity in suspected heart cases due to inadequate adjustment of peripheral blood flow (vasoregulatory asthenia).Acta Med Scand.1957;158(6):413–436. , , , , , .
- Orthostatic tachycardia and orthostatic hypotension: defects in the return of venous blood to the heart.Am Heart J.1944;27:145–163. , , .
- Postural tachycardia syndrome. Reversal of sympathetic hyperresponsiveness and clinical improvement during sodium loading.Am J Med.1982;72(5):847–850. , .
- The postural orthostatic tachycardia syndrome: definitions, diagnosis, and management.Pacing Clin Electrophysiol.2003;26(8):1747– 1757. , , .
- Clinical disorders of the autonomic nervous system associated with orthostatic intolerance: an overview of classification, clinical evaluation, and management.Pacing Clin Electrophysiol.1999;22(5):798–810. , .
- Idiopathic orthostatic intolerance and postural tachycardia syndromes.Am J Med Sci.1999;317(2):88–101. , .
- Splanchnic‐mesenteric capacitance bed in the postural tachycardia syndrome (POTS).Auton Neurosci.2000;86(1–2):107–113. , , , et al.
- Abnormal orthostatic changes in blood pressure and heart rate in subjects with intact sympathetic nervous function: evidence for excessive venous pooling.J Lab Clin Med.1988;111(3):326–335. , , , .
- Renin‐aldosterone paradox and perturbed blood volume regulation underlying postural tachycardia syndrome.Circulation.2005;111(13):1574–1582. , , , et al.
- Clinical practice. Neurocardiogenic syncope.N Engl J Med.2005;352(10):1004–1010. .
- Orthostatic intolerance and tachycardia associated with norepinephrine‐transporter deficiency.N Engl J Med.2000;342(8):541–549. , , , et al.
- Autoantibodies to ganglionic acetylcholine receptors in autoimmune autonomic neuropathies.N Engl J Med.2000;343(12):847–855. , , , , , .
- The postural tachycardia syndrome: a concise guide to diagnosis and management.J Cardiovasc Electrophysiol.2006;17(1):108–112. , , .
- Neurovegetative regulation of the vascular system. In:Lanzer P,Topol EJ, eds.Panvascular Medicine.Berlin, Germany:Springer‐Verlag;2002:175–187. , , .
- Regional cardiac sympathetic denervation in patients with ventricular tachycardia in the absence of coronary artery disease.J Am Coll Cardiol.1993;22(5):1344–1353. , , , et al.
Tobacco, Alcohol, and Drug Use Among Hospital Patients
Population‐based surveys of the adult US population estimate a prevalence of smoking of 25% and a prevalence of hazardous alcohol or illegal drug use of 23% and 8% respectively,1 with frequent concurrent use of these substances.2 The mortality associated with smoking and substance use is extremely high with tobacco first, alcohol third, and illicit drug use ninth as the leading causes of death in the US.3 Worldwide, the burden of disease from tobacco, alcohol, and illicit drugs accounts for almost 10% of all disability‐adjusted life years.4 Despite the availability of effective treatments,57 many patients do not receive professional intervention and few are offered comprehensive programs that address all of their harmful substance use.
Interventions have been successfully implemented for hospitalized smokers. Earlier work by Emmons8 and Orleans9 suggests that many smokers seek assistance to quit smoking during hospitalization. Over the past 15 years, hospital‐based smoking cessation interventions have been successfully implemented.10 Although mute on hospital‐based settings, the United States Preventive Service Task Force recommends screening and counseling interventions to reduce alcohol misuse among adults seen in primary care settings (B recommendation).6 Referral to specialized care is the accepted standard for most patients with substance dependence disorders7 regardless of the medical setting in which the diagnosis is made. Hospitalization provides a unique opportunity to initiate change in harmful substance use and smoking;11 however, interventions rarely are coordinated.
A high prevalence of smoking among substance users has been reported from population‐based surveys1215 and among patients in substance use treatment facilities.1618 Rates of concurrent smoking and substance use range from 35%44% in population‐based studies and may reach 80% in populations seeking substance use treatment.19 A recent hospital‐based study found at‐risk alcohol users were 3 times more likely to smoke.20 There are limited data describing concurrent smoking and substance use in the hospital population,15 and no reports describing the association between patients' willingness to quit smoking and readiness to change substance use behavior.
To better inform hospital‐based smoking and substance use intervention strategies, the epidemiology of smoking and substance use in the hospital population needs to be better described. Furthermore, there may be opportunities for synergy between these programs. In this study, we screened inpatients from multiple services at 2 hospitals for tobacco, alcohol, and illicit substance use. We report the prevalence and co‐occurrence of these behaviors and willingness to quit smoking among patients with and without at‐risk substance use.
METHODS
Data for this study were obtained for a 5‐year Substance Abuse and Mental Health Services Administration (SAMHSA) grant to the Illinois Office of the Governor. The grant was awarded to implement screening, brief intervention, brief treatment, and referral to treatment programs for patients of the Cook County Bureau of Health Services who had alcohol or other drug use disorders. We analyzed data collected from nonIntensive Care Unit patients who had been hospitalized on the internal medicine, family practice, HIV, or surgery services at John H. Stroger Jr Hospital of Cook County (formerly Cook County Hospital, a 464‐bed public, tertiary‐care hospital) or Provident Hospital of Cook County (a 100‐bed public community hospital), in Chicago, Illinois. Because internal medicine and family practice patients were similar in demographic characteristics and interview responses, we considered these as a single service. There is an HIV service at Stroger Hospital; all HIV‐infected patients are admitted or transferred to this service. For each patient, we used data collected from their initial hospitalization during a 9‐month study period (April 1, 2006 through December 31, 2006). Using hospital admission data, we estimated that 65% of patients were interviewed by a counselor; only 5% of patients could not be interviewed due to patient refusal or mental status changes.
Patients were screened for alcohol use, drug use, and smoking history by bedside interview. We defined at‐risk substance use as any illicit drug use within the previous 3 months or alcohol use that exceeded the National Institute for Alcohol Abuse and Alcoholism (NIAAA) guidelines for low‐risk drinking (no more than 5 drinks per day or 14 drinks per week for men up to age 65; no more than 3 drinks per day or 7 drinks per week for men over 65 and women). Based on their responses to questions about smoking history, patients were categorized into the following 4 groups: current smokers (ie, smoked within the previous 7 days), recent quitters (ie, quit within 8 days and 6 months), ex‐smokers (quit more than 6 months ago), or never smokers. Current smokers were also asked about their heaviness of smoking and willingness to quit. All smokers received a counseling session during hospitalization. All smokers who indicated a desire to quit were encouraged to call the Illinois Quitline after hospital discharge. Individuals who smoked between 10‐14 cigarettes per day and smoked their first cigarette within 30 minutes of waking or who smoked 15 or more cigarettes per day were classified as moderate or heavy smokers; all other smokers were classified as light smokers. We established these cut‐points by modifying the Public Health Service guideline and Heaviness of Smoking Index.5, 21, 22 The heaviness of smoking classification was used to guide recommendations to the primary service regarding the appropriateness of nicotine patch therapy during and after hospitalization. For moderate to heavy smokers who were willing to quit, the recommendation was to continue nicotine replacement after hospitalization.5
Patients were considered low health risk if their alcohol use did not exceed NIAAA guidelines and they reported no recent drug use. For all patients who reported alcohol use that exceeded the NIAAA guidelines or recent drug use, we administered the Texas Christian University Drug Screen II (TCU)23 to further characterize the severity of their use. Patients who had a TCU score of 3 were considered at‐risk substance users with substance dependence disorder; patients with scores of 2 or less were considered at‐risk substance users without dependence. Among all at‐risk substance users, we used a 10‐point visual analog scale to assess their readiness to change substance use. After evaluating the distribution and clustering of scores, we prespecified that a score 8 was indicative of a patient being ready to change their substance use behavior. This ruler has been successfully implemented as part of the Brief Negotiated Interview and Active Referral to Treatment Institute toolbox.24
Analysis
To facilitate comparison with other data sources, we used the same age categories as the National Survey on Drug Use and Health.1 Differences between proportions were evaluated by the chi‐squared test. We analyzed the trend in smoking behavior across the strata of substance use (ie, number of substances used and severity of use) using the Cochrane‐Armitage test for trend. To evaluate the association between substance use and smoking, multivariable models were constructed that included terms to adjust for age, race, gender, and hospital service; potential confounders (eg, age, race, gender, and service) were included in the final model if they significantly contributed to the outcome variable (P < 0.1). From these multivariable models, prevalence ratios were estimated using the binary log transformation in PROC GENMOD.25, 26 All data were analyzed using SAS version 9.0 (SAS Institute Inc., Cary, NC).
RESULTS
Patient Characteristics
Of the 7,714 unique patients interviewed at the 2 hospitals, we had data on smoking status for 7,391 (96%) (Table 1). The mean age was 50 years, most were male, cared for by the internal medicine or family practice service, and the most common racial/ethnic category was non‐Hispanic Black, followed by Hispanic, non‐Hispanic White, and Asian (Table 1). More than one‐quarter of patients reported at‐risk substance use other than tobacco; the most common substance used was alcohol followed by cocaine, marijuana, and then heroin (Table 1). Most patients who were at‐risk substance users (52%) met criteria for substance dependence disorder.23
Characteristic | N | (%) | Smoking prevalence* (%) | Prevalence ratio (95% CI) | |
---|---|---|---|---|---|
| |||||
Age category | |||||
18‐25 | 479 | (6) | 35 | 2.6 | (2.1 to 3.1) |
26‐34 | 664 | (9) | 38 | 2.8 | (2.4 to 3.4) |
35‐44 | 1306 | (18) | 46 | 3.4 | (2.9 to 4.0) |
45‐54 | 2182 | (30) | 46 | 3.4 | (2.9 to 4.0) |
55‐64 | 1563 | (21) | 31 | 2.3 | (2.0 to 2.7) |
65 and older | 1185 | (16) | 13 | ref | |
Race/Ethnicity | |||||
Non Hispanic Black | 4990 | (68) | 45 | 3.0 | (2.2 to 4.0) |
Non Hispanic White | 850 | (12) | 40 | 2.7 | (2.0 to 3.6) |
Hispanic | 1222 | (17) | 19 | 1.3 | (0.9 to 1.7) |
Asian | 253 | (3) | 15 | ref | |
Other | 27 | (<1) | |||
Gender | |||||
Male | 4279 | (58) | 42 | 1.5 | (1.4 to 1.6) |
Female | 3099 | (42) | 29 | ref | |
Service | |||||
HIV | 227 | (3) | 52 | 1.7 | (1.5 to 2.0) |
Internal medicine or | 6278 | (85) | 36 | 1.2 | (1.1 to 1.3) |
family practice | |||||
Surgery | 886 | (12) | 31 | ref |
Tobacco Use
Many hospitalized patients were current smokers (36%) and 35% of current smokers were moderate to heavy smokers. The prevalence of smoking varied significantly by age category, race, gender, and service. By age category, the prevalence of smoking peaked at 3554 years with lower rates of smoking at either extreme of age (Table 1). Non‐Hispanic Blacks and Whites had a prevalence of smoking 3‐fold higher than Asians; Hispanics were less likely to smoke than non‐Hispanic Whites or Blacks. Men were more likely to smoke than women, and patients on the HIV or internal medicine/family practice services had a higher prevalence of smoking compared to patients on the surgery service (Table 1).
The proportion of current smokers who were moderate to heavy smokers was similar between patients with no‐risk or low‐risk substance use and those who had at‐risk substance use without dependence (32% versus 34%, respectively); however, current smokers who were substance‐dependent were 40% more likely to be moderate to heavy smokers (48%) (prevalence ratio [PR]: 1.4, 95% confidence interval [CI]: 1.1 to 1.9).
Concurrent Tobacco and Substance Use
Compared to patients who reported low‐risk substance use, patients with at‐risk substance use had a dramatically higher prevalence of smoking (Table 2). In addition, there was a significant increase in the likelihood of smoking across the 3 levels of substance use and the number of substances used (Table 2).
N | (%) | Smoking prevalence (%) | Adjusted prevalence ratio (95% CI)* | ||
---|---|---|---|---|---|
| |||||
Risk Index | |||||
Low Health Risk | 5419 | (73) | 24 | ref | |
At‐Risk, not dependent | 945 | (13) | 64 | 2.2 | (2.0 to 2.3) |
At‐Risk, dependent | 1027 | (14) | 75 | 2.5 | (2.3 to 2.6) |
Specific substance use | |||||
Low Health Risk | 5419 | (73) | 24 | ref | |
At‐Risk Alcohol Use | 1171 | (16) | 68 | 2.2 | (2.1 to 2.4) |
At‐ Risk Marijuana Use | 688 | (9) | 70 | 2.1 | (2.0 to 2.3) |
At‐Risk Cocaine Use | 503 | (7) | 79 | 2.4 | (2.2 to 2.6) |
At‐Risk Heroin Use | 448 | (6) | 82 | 2.4 | (2.2 to 2.6) |
Number of drugs | |||||
None | 5419 | (73) | 24 | ref | |
One | 1284 | (17) | 64 | 2.2 | (2.0 to 2.3) |
Two or more | 688 | (9) | 81 | 2.6 | (2.5 to 2.8) |
Willingness to Quit
Most patients (61%) who smoked were willing to immediately quit smoking. After adjusting for other demographic confounders, non‐Hispanic Blacks and the elderly (age > 65) were more willing to quit (P < 0.05, data not shown). The substance use risk categories of low risk, at‐risk, and dependence were not associated with willingness to quit tobacco (Fig. 1, left panel).

Regardless of substance use category, most patients were ready to change their substance use behavior (Fig. 1). Those patients who were ready to change their substance use behavior, regardless of whether they were substance‐dependent, were significantly more likely to report a willingness to quit smoking than those who were not ready to change (Fig. 1, right panel). In fact, at‐risk substance users without dependence who were ready to change their substance use were more willing to quit smoking than patients without at‐risk substance use (72% versus 64%; P < 0.05).
DISCUSSION
Among hospital patients, we found a 46% absolute increase in the prevalence of smoking among those who used illicit substances or alcohol above NIAAA guidelines compared to those who did not report such use. The prevalence of smoking increased across the spectrum of substance use, being highest for patients who met criteria for dependence. Also, patients who were substance dependent were more likely to be moderate to heavy smokers, suggesting an association between alcohol or other drug dependence disorders and nicotine dependence. Regardless of their patterns of substance use, most patients expressed a desire to immediately quit smoking and there was a strong association between willingness to quit smoking and readiness to reduce substance use.
In our hospital population, the prevalence of smoking among patients who use illicit drugs or at‐risk quantities of alcohol far exceeds estimates obtained from population‐based surveys. In addition to the relatively high prevalence of smoking, focusing attention on hospital patients who use substances is important for several other reasons. Individuals who use substances are less likely to receive health care from a primary care physician.28 Also, most patients who have substance use disorders do not enter treatment programs,1 even after hospitalization.29 Further, hospitals provide a setting that facilitates change; patients are temporarily required to stop smoking, and often they are available for relatively long counseling sessions. Finally, for patients without substance use disorders, hospital‐based smoking cessation intervention programs have been proven to be successful in several randomized controlled trials.10, 30
Because alcohol and drug use are so common among hospitalized smokers, it is unfortunate that there is little evidence from clinical trials to inform intervention strategies for patients with concurrent use. The clinical trials that form the evidence base for intervention among hospitalized smokers10 either have explicitly excluded patients who reported substance use,10, 15, 3133 did not assess baseline substance use,34, 35 or were underpowered to perform subgroup analyses on this population.36 Awaiting better evidence, we have chosen to routinely screen hospital patients for tobacco, alcohol, and drug use. For treatment strategies, we extrapolate the findings from successful interventions in the ambulatory setting37 or among hospital patients who do not use substances to our population. We offer smoking cessation interventions to patients regardless of other substance use.
Understanding the similarities and differences between smokers who use substances and those who do not is important in implementing successful strategies for smoking cessation. Rather than a step‐wise increase in heaviness of smoking across substance use categories (ie, no‐risk or low‐risk use, at‐risk use without dependence, and substance dependence), we found an increased heaviness of smoking only among substance‐dependent smokers; there was no difference in heaviness of smoking between those with at‐risk use without dependence and those with no‐risk or low‐risk use. Because interventions for patients who have nicotine dependence are more likely to succeed when pharmacotherapy is offered as an adjunct to behavior therapy,38 smokers who also are substance‐dependent likely will benefit from the addition of pharmacotherapy. One similarity is that all patients, regardless of substance use category, were willing to quit smoking. In fact, hospitalized smokers who were ready to change at‐risk substance use were more willing to quit smoking than patients who had no‐risk or low‐risk substance use. Previous investigators have found that smokers who use substances have fewer quit attempts,39 higher nicotine dependence,37, 39 and lower enrollment in smoking cessation interventions.38
Our study only includes data from patients at 2 public hospitals; therefore, our findings may not generalize to populations of higher socioeconomic status. Also, our smoking screening tool had relatively low sensitivity for categorizing current smokers as moderate to heavy smokers; therefore, we may have underestimated the number of moderate to heavy smokers.5, 22 Further, given our cross‐sectional study design, we were unable to evaluate whether patients who have at‐risk substance use remain willing to quit smoking after hospital discharge or to the effectiveness of our smoking cessation program. Finally, socially desirable responses may have caused patients to overstate their willingness to quit tobacco and readiness to change substance use. Additional research is needed to determine whether post‐hospitalization quit rates are similar between smokers with and without at‐risk substance use, and the optimal timing for smoking cessation interventions in relation to substance dependence treatment.40
Hospital patients who have substance use disorders are also highly likely to smoke, and these patients express a willingness to quit smoking. Given the frequency of concurrent smoking and other substance misuse and patients' desire to change both behaviors, there is a role for coordination of substance use and smoking cessation intervention programs.
- US Department of Health 24:201–208.
- Actual causes of death in the United States, 2000.JAMA.2004;291:1238–1245. , , , .
- Global burden of disease from alcohol, illicit drugs and tobacco.Drug Alcohol Rev.2006;25:503–513. , , .
- A clinical practice guideline for treating tobacco use and dependence,:A US Public Health Service report. The tobacco use and dependence clinical practice guideline panel, staff, and consortium representatives.JAMA.2000;283:3244–3254.
- U.S.Preventive Services Task Force. Behavioral counseling interventions in primary care to reduce risky/harmful alcohol use by adults: a summary of the evidence for the U.S. Preventive Services Task Force.Ann Intern Med.2004;140:557–568. , , , , ,
- Work Group on Substance Use Disorders, , , et al.Treatment of patients with substance use disorders, second edition. American Psychiatic Association.Am J Psych.2006;163(8 Suppl):75–82.
- Smokers who are hospitalized: a window of opportunity for cessation interventions.Prev Med.1992;21;262–269. , .
- Helping hospitalized smokers quit: new directions for treatment and research.J Consult Clin Psychol.1993;61:778–89. , , .
- Interventions for smoking cessation in hospitalised patients.Cochrane Database Sys Rev.2007;3(3);CD001837. , , .
- Expanding the roles of hospitalists physicians to include public health.J Hosp Med.2007;2:93–101. , , , .
- Smoking status as a clinical indicator for alcohol misuse in US adults.Arch Intern Med.2007;167:716–721. , , , , .
- Alcohol high risk drinking, abuse and dependence among tobacco smoking medical care patients and the general population.Drug Alcohol Depend.2003;69:189–195. , , , , .
- Nicotine dependence and psychiatric disorders in the United States: results from the national epidemiologic survey on alcohol and related conditions.Arch Gen Psychiatry.2004;61:1107–1115. , , , , .
- Smoking and mental illness: A population‐based prevalence study.JAMA.2000;284:2606–2610. , , , , , .
- Clinical Implications of the association between smoking and alcoholism. In:Fertig JB,Allen JP, eds.Alcohol and Tobacco: From Basic Science to Clinical Practice.Bethesda, MD:NIAAA Research;1995:171–185. .
- Smoking and drinking among alcoholics in treatment: cross‐sectional and longitudinal relationships.J Stud Alcohol.2000;61:157–163. , , , , , .
- Interrelationship of smoking and alcohol dependence, use and urges to use.J Stud Alcohol.1995;56:202–206. , , , et al.
- Tobacco cessation treatment for alcohol‐dependent smokers: when is the best time?Alcohol Res Health.2006;29:203–207. , , .
- Substance use in the general hospital.Addict Behav.2003;28:483–499. , , , et al.
- Measuring the heaviness of smoking: Using self‐reported time to the first cigarette of the day and number of cigarettes smoked per day.Br J Addict.1989;84:791–799. , , , , .
- The Heaviness of Smoking Index as a predictor of smoking cessation in Canada.Addict Behav.2007;32:1031–1042. , , , .
- Effectiveness of screening instruments in detecting substance use disorders among prisoners.J Subst Abuse Treat.2000;18:349–358. , , , et al.
- Th BNI‐ART Institute, Readiness Ruler. http://www.ed.bmc.org/sbirt/techniques.php. Accessed August 20,2008.
- A modified poisson regression approach to prospective studies with binary data.Am J Epidemiol.2004;159:702–706. .
- Estimating the relative risk in cohort studies and clinical trials of common outcomes.Am J Epidemiol.2003;157:940–943. , , , .
- Do smokers with alcohol problems have more difficulty quitting?Drug Alcohol Depend.2006;82:91–102. , .
- Emergency room and primary care services utilization and associated alcohol and drug use in the United States general population.Alcohol Alcohol.1999;34:581–589. .
- Brief intervention for medical inpatients with unhealthy alcohol use: a randomized, controlled trial.Ann Intern Med.2007;146:167–176. , , , et al.
- Smoking cessation interventions among hospitalized patients: what have we learned?Prev Med.2001;32:376–388. , , .
- Smoking cessation and severity of disease: the Coronary Artery Smoking Intervention Study.Health Psychol.1992;11:119–126. , , , et al.
- A randomized controlled trial of smoking cessation counseling after myocardial infarction.Prev Med.2000;30:261–268. , , , , .
- Comorbid cigarette and alcohol addiction: epidemiology and treatment.J Addict Dis.1998;17:55–66. , .
- A case‐management system for coronary risk factor modification after acute myocardial infarction.Ann Intern Med.1994;120:721–729. , , , et al.
- A nurse‐managed smoking cessation program for hospitalized smokers.Am J Public Health.1996;86:1557–1560. , , , et al.
- Smoking cessation after surgery. A randomized trial.Arch Intern Med.1997;157:1371–1376. , , , .
- Efficacy of nicotine patch in smokers with a history of alcoholism.Alcohol Clin Exp Res.2003;27:946–954. , , , , .
- Predictors of tobacco quit attempts among recovering alcoholics.J Subst Abuse.1996;8:431–443. , , , .
- Is dependence on one drug associated with dependence on other drugs? The cases of alcohol, caffeine and nicotine.Am J Addict.2000;9:196–201. , , .
- Nicotine interventions with comorbid populations.Am J Prev Med.2007;33:S406–S413. .
Population‐based surveys of the adult US population estimate a prevalence of smoking of 25% and a prevalence of hazardous alcohol or illegal drug use of 23% and 8% respectively,1 with frequent concurrent use of these substances.2 The mortality associated with smoking and substance use is extremely high with tobacco first, alcohol third, and illicit drug use ninth as the leading causes of death in the US.3 Worldwide, the burden of disease from tobacco, alcohol, and illicit drugs accounts for almost 10% of all disability‐adjusted life years.4 Despite the availability of effective treatments,57 many patients do not receive professional intervention and few are offered comprehensive programs that address all of their harmful substance use.
Interventions have been successfully implemented for hospitalized smokers. Earlier work by Emmons8 and Orleans9 suggests that many smokers seek assistance to quit smoking during hospitalization. Over the past 15 years, hospital‐based smoking cessation interventions have been successfully implemented.10 Although mute on hospital‐based settings, the United States Preventive Service Task Force recommends screening and counseling interventions to reduce alcohol misuse among adults seen in primary care settings (B recommendation).6 Referral to specialized care is the accepted standard for most patients with substance dependence disorders7 regardless of the medical setting in which the diagnosis is made. Hospitalization provides a unique opportunity to initiate change in harmful substance use and smoking;11 however, interventions rarely are coordinated.
A high prevalence of smoking among substance users has been reported from population‐based surveys1215 and among patients in substance use treatment facilities.1618 Rates of concurrent smoking and substance use range from 35%44% in population‐based studies and may reach 80% in populations seeking substance use treatment.19 A recent hospital‐based study found at‐risk alcohol users were 3 times more likely to smoke.20 There are limited data describing concurrent smoking and substance use in the hospital population,15 and no reports describing the association between patients' willingness to quit smoking and readiness to change substance use behavior.
To better inform hospital‐based smoking and substance use intervention strategies, the epidemiology of smoking and substance use in the hospital population needs to be better described. Furthermore, there may be opportunities for synergy between these programs. In this study, we screened inpatients from multiple services at 2 hospitals for tobacco, alcohol, and illicit substance use. We report the prevalence and co‐occurrence of these behaviors and willingness to quit smoking among patients with and without at‐risk substance use.
METHODS
Data for this study were obtained for a 5‐year Substance Abuse and Mental Health Services Administration (SAMHSA) grant to the Illinois Office of the Governor. The grant was awarded to implement screening, brief intervention, brief treatment, and referral to treatment programs for patients of the Cook County Bureau of Health Services who had alcohol or other drug use disorders. We analyzed data collected from nonIntensive Care Unit patients who had been hospitalized on the internal medicine, family practice, HIV, or surgery services at John H. Stroger Jr Hospital of Cook County (formerly Cook County Hospital, a 464‐bed public, tertiary‐care hospital) or Provident Hospital of Cook County (a 100‐bed public community hospital), in Chicago, Illinois. Because internal medicine and family practice patients were similar in demographic characteristics and interview responses, we considered these as a single service. There is an HIV service at Stroger Hospital; all HIV‐infected patients are admitted or transferred to this service. For each patient, we used data collected from their initial hospitalization during a 9‐month study period (April 1, 2006 through December 31, 2006). Using hospital admission data, we estimated that 65% of patients were interviewed by a counselor; only 5% of patients could not be interviewed due to patient refusal or mental status changes.
Patients were screened for alcohol use, drug use, and smoking history by bedside interview. We defined at‐risk substance use as any illicit drug use within the previous 3 months or alcohol use that exceeded the National Institute for Alcohol Abuse and Alcoholism (NIAAA) guidelines for low‐risk drinking (no more than 5 drinks per day or 14 drinks per week for men up to age 65; no more than 3 drinks per day or 7 drinks per week for men over 65 and women). Based on their responses to questions about smoking history, patients were categorized into the following 4 groups: current smokers (ie, smoked within the previous 7 days), recent quitters (ie, quit within 8 days and 6 months), ex‐smokers (quit more than 6 months ago), or never smokers. Current smokers were also asked about their heaviness of smoking and willingness to quit. All smokers received a counseling session during hospitalization. All smokers who indicated a desire to quit were encouraged to call the Illinois Quitline after hospital discharge. Individuals who smoked between 10‐14 cigarettes per day and smoked their first cigarette within 30 minutes of waking or who smoked 15 or more cigarettes per day were classified as moderate or heavy smokers; all other smokers were classified as light smokers. We established these cut‐points by modifying the Public Health Service guideline and Heaviness of Smoking Index.5, 21, 22 The heaviness of smoking classification was used to guide recommendations to the primary service regarding the appropriateness of nicotine patch therapy during and after hospitalization. For moderate to heavy smokers who were willing to quit, the recommendation was to continue nicotine replacement after hospitalization.5
Patients were considered low health risk if their alcohol use did not exceed NIAAA guidelines and they reported no recent drug use. For all patients who reported alcohol use that exceeded the NIAAA guidelines or recent drug use, we administered the Texas Christian University Drug Screen II (TCU)23 to further characterize the severity of their use. Patients who had a TCU score of 3 were considered at‐risk substance users with substance dependence disorder; patients with scores of 2 or less were considered at‐risk substance users without dependence. Among all at‐risk substance users, we used a 10‐point visual analog scale to assess their readiness to change substance use. After evaluating the distribution and clustering of scores, we prespecified that a score 8 was indicative of a patient being ready to change their substance use behavior. This ruler has been successfully implemented as part of the Brief Negotiated Interview and Active Referral to Treatment Institute toolbox.24
Analysis
To facilitate comparison with other data sources, we used the same age categories as the National Survey on Drug Use and Health.1 Differences between proportions were evaluated by the chi‐squared test. We analyzed the trend in smoking behavior across the strata of substance use (ie, number of substances used and severity of use) using the Cochrane‐Armitage test for trend. To evaluate the association between substance use and smoking, multivariable models were constructed that included terms to adjust for age, race, gender, and hospital service; potential confounders (eg, age, race, gender, and service) were included in the final model if they significantly contributed to the outcome variable (P < 0.1). From these multivariable models, prevalence ratios were estimated using the binary log transformation in PROC GENMOD.25, 26 All data were analyzed using SAS version 9.0 (SAS Institute Inc., Cary, NC).
RESULTS
Patient Characteristics
Of the 7,714 unique patients interviewed at the 2 hospitals, we had data on smoking status for 7,391 (96%) (Table 1). The mean age was 50 years, most were male, cared for by the internal medicine or family practice service, and the most common racial/ethnic category was non‐Hispanic Black, followed by Hispanic, non‐Hispanic White, and Asian (Table 1). More than one‐quarter of patients reported at‐risk substance use other than tobacco; the most common substance used was alcohol followed by cocaine, marijuana, and then heroin (Table 1). Most patients who were at‐risk substance users (52%) met criteria for substance dependence disorder.23
Characteristic | N | (%) | Smoking prevalence* (%) | Prevalence ratio (95% CI) | |
---|---|---|---|---|---|
| |||||
Age category | |||||
18‐25 | 479 | (6) | 35 | 2.6 | (2.1 to 3.1) |
26‐34 | 664 | (9) | 38 | 2.8 | (2.4 to 3.4) |
35‐44 | 1306 | (18) | 46 | 3.4 | (2.9 to 4.0) |
45‐54 | 2182 | (30) | 46 | 3.4 | (2.9 to 4.0) |
55‐64 | 1563 | (21) | 31 | 2.3 | (2.0 to 2.7) |
65 and older | 1185 | (16) | 13 | ref | |
Race/Ethnicity | |||||
Non Hispanic Black | 4990 | (68) | 45 | 3.0 | (2.2 to 4.0) |
Non Hispanic White | 850 | (12) | 40 | 2.7 | (2.0 to 3.6) |
Hispanic | 1222 | (17) | 19 | 1.3 | (0.9 to 1.7) |
Asian | 253 | (3) | 15 | ref | |
Other | 27 | (<1) | |||
Gender | |||||
Male | 4279 | (58) | 42 | 1.5 | (1.4 to 1.6) |
Female | 3099 | (42) | 29 | ref | |
Service | |||||
HIV | 227 | (3) | 52 | 1.7 | (1.5 to 2.0) |
Internal medicine or | 6278 | (85) | 36 | 1.2 | (1.1 to 1.3) |
family practice | |||||
Surgery | 886 | (12) | 31 | ref |
Tobacco Use
Many hospitalized patients were current smokers (36%) and 35% of current smokers were moderate to heavy smokers. The prevalence of smoking varied significantly by age category, race, gender, and service. By age category, the prevalence of smoking peaked at 3554 years with lower rates of smoking at either extreme of age (Table 1). Non‐Hispanic Blacks and Whites had a prevalence of smoking 3‐fold higher than Asians; Hispanics were less likely to smoke than non‐Hispanic Whites or Blacks. Men were more likely to smoke than women, and patients on the HIV or internal medicine/family practice services had a higher prevalence of smoking compared to patients on the surgery service (Table 1).
The proportion of current smokers who were moderate to heavy smokers was similar between patients with no‐risk or low‐risk substance use and those who had at‐risk substance use without dependence (32% versus 34%, respectively); however, current smokers who were substance‐dependent were 40% more likely to be moderate to heavy smokers (48%) (prevalence ratio [PR]: 1.4, 95% confidence interval [CI]: 1.1 to 1.9).
Concurrent Tobacco and Substance Use
Compared to patients who reported low‐risk substance use, patients with at‐risk substance use had a dramatically higher prevalence of smoking (Table 2). In addition, there was a significant increase in the likelihood of smoking across the 3 levels of substance use and the number of substances used (Table 2).
N | (%) | Smoking prevalence (%) | Adjusted prevalence ratio (95% CI)* | ||
---|---|---|---|---|---|
| |||||
Risk Index | |||||
Low Health Risk | 5419 | (73) | 24 | ref | |
At‐Risk, not dependent | 945 | (13) | 64 | 2.2 | (2.0 to 2.3) |
At‐Risk, dependent | 1027 | (14) | 75 | 2.5 | (2.3 to 2.6) |
Specific substance use | |||||
Low Health Risk | 5419 | (73) | 24 | ref | |
At‐Risk Alcohol Use | 1171 | (16) | 68 | 2.2 | (2.1 to 2.4) |
At‐ Risk Marijuana Use | 688 | (9) | 70 | 2.1 | (2.0 to 2.3) |
At‐Risk Cocaine Use | 503 | (7) | 79 | 2.4 | (2.2 to 2.6) |
At‐Risk Heroin Use | 448 | (6) | 82 | 2.4 | (2.2 to 2.6) |
Number of drugs | |||||
None | 5419 | (73) | 24 | ref | |
One | 1284 | (17) | 64 | 2.2 | (2.0 to 2.3) |
Two or more | 688 | (9) | 81 | 2.6 | (2.5 to 2.8) |
Willingness to Quit
Most patients (61%) who smoked were willing to immediately quit smoking. After adjusting for other demographic confounders, non‐Hispanic Blacks and the elderly (age > 65) were more willing to quit (P < 0.05, data not shown). The substance use risk categories of low risk, at‐risk, and dependence were not associated with willingness to quit tobacco (Fig. 1, left panel).

Regardless of substance use category, most patients were ready to change their substance use behavior (Fig. 1). Those patients who were ready to change their substance use behavior, regardless of whether they were substance‐dependent, were significantly more likely to report a willingness to quit smoking than those who were not ready to change (Fig. 1, right panel). In fact, at‐risk substance users without dependence who were ready to change their substance use were more willing to quit smoking than patients without at‐risk substance use (72% versus 64%; P < 0.05).
DISCUSSION
Among hospital patients, we found a 46% absolute increase in the prevalence of smoking among those who used illicit substances or alcohol above NIAAA guidelines compared to those who did not report such use. The prevalence of smoking increased across the spectrum of substance use, being highest for patients who met criteria for dependence. Also, patients who were substance dependent were more likely to be moderate to heavy smokers, suggesting an association between alcohol or other drug dependence disorders and nicotine dependence. Regardless of their patterns of substance use, most patients expressed a desire to immediately quit smoking and there was a strong association between willingness to quit smoking and readiness to reduce substance use.
In our hospital population, the prevalence of smoking among patients who use illicit drugs or at‐risk quantities of alcohol far exceeds estimates obtained from population‐based surveys. In addition to the relatively high prevalence of smoking, focusing attention on hospital patients who use substances is important for several other reasons. Individuals who use substances are less likely to receive health care from a primary care physician.28 Also, most patients who have substance use disorders do not enter treatment programs,1 even after hospitalization.29 Further, hospitals provide a setting that facilitates change; patients are temporarily required to stop smoking, and often they are available for relatively long counseling sessions. Finally, for patients without substance use disorders, hospital‐based smoking cessation intervention programs have been proven to be successful in several randomized controlled trials.10, 30
Because alcohol and drug use are so common among hospitalized smokers, it is unfortunate that there is little evidence from clinical trials to inform intervention strategies for patients with concurrent use. The clinical trials that form the evidence base for intervention among hospitalized smokers10 either have explicitly excluded patients who reported substance use,10, 15, 3133 did not assess baseline substance use,34, 35 or were underpowered to perform subgroup analyses on this population.36 Awaiting better evidence, we have chosen to routinely screen hospital patients for tobacco, alcohol, and drug use. For treatment strategies, we extrapolate the findings from successful interventions in the ambulatory setting37 or among hospital patients who do not use substances to our population. We offer smoking cessation interventions to patients regardless of other substance use.
Understanding the similarities and differences between smokers who use substances and those who do not is important in implementing successful strategies for smoking cessation. Rather than a step‐wise increase in heaviness of smoking across substance use categories (ie, no‐risk or low‐risk use, at‐risk use without dependence, and substance dependence), we found an increased heaviness of smoking only among substance‐dependent smokers; there was no difference in heaviness of smoking between those with at‐risk use without dependence and those with no‐risk or low‐risk use. Because interventions for patients who have nicotine dependence are more likely to succeed when pharmacotherapy is offered as an adjunct to behavior therapy,38 smokers who also are substance‐dependent likely will benefit from the addition of pharmacotherapy. One similarity is that all patients, regardless of substance use category, were willing to quit smoking. In fact, hospitalized smokers who were ready to change at‐risk substance use were more willing to quit smoking than patients who had no‐risk or low‐risk substance use. Previous investigators have found that smokers who use substances have fewer quit attempts,39 higher nicotine dependence,37, 39 and lower enrollment in smoking cessation interventions.38
Our study only includes data from patients at 2 public hospitals; therefore, our findings may not generalize to populations of higher socioeconomic status. Also, our smoking screening tool had relatively low sensitivity for categorizing current smokers as moderate to heavy smokers; therefore, we may have underestimated the number of moderate to heavy smokers.5, 22 Further, given our cross‐sectional study design, we were unable to evaluate whether patients who have at‐risk substance use remain willing to quit smoking after hospital discharge or to the effectiveness of our smoking cessation program. Finally, socially desirable responses may have caused patients to overstate their willingness to quit tobacco and readiness to change substance use. Additional research is needed to determine whether post‐hospitalization quit rates are similar between smokers with and without at‐risk substance use, and the optimal timing for smoking cessation interventions in relation to substance dependence treatment.40
Hospital patients who have substance use disorders are also highly likely to smoke, and these patients express a willingness to quit smoking. Given the frequency of concurrent smoking and other substance misuse and patients' desire to change both behaviors, there is a role for coordination of substance use and smoking cessation intervention programs.
Population‐based surveys of the adult US population estimate a prevalence of smoking of 25% and a prevalence of hazardous alcohol or illegal drug use of 23% and 8% respectively,1 with frequent concurrent use of these substances.2 The mortality associated with smoking and substance use is extremely high with tobacco first, alcohol third, and illicit drug use ninth as the leading causes of death in the US.3 Worldwide, the burden of disease from tobacco, alcohol, and illicit drugs accounts for almost 10% of all disability‐adjusted life years.4 Despite the availability of effective treatments,57 many patients do not receive professional intervention and few are offered comprehensive programs that address all of their harmful substance use.
Interventions have been successfully implemented for hospitalized smokers. Earlier work by Emmons8 and Orleans9 suggests that many smokers seek assistance to quit smoking during hospitalization. Over the past 15 years, hospital‐based smoking cessation interventions have been successfully implemented.10 Although mute on hospital‐based settings, the United States Preventive Service Task Force recommends screening and counseling interventions to reduce alcohol misuse among adults seen in primary care settings (B recommendation).6 Referral to specialized care is the accepted standard for most patients with substance dependence disorders7 regardless of the medical setting in which the diagnosis is made. Hospitalization provides a unique opportunity to initiate change in harmful substance use and smoking;11 however, interventions rarely are coordinated.
A high prevalence of smoking among substance users has been reported from population‐based surveys1215 and among patients in substance use treatment facilities.1618 Rates of concurrent smoking and substance use range from 35%44% in population‐based studies and may reach 80% in populations seeking substance use treatment.19 A recent hospital‐based study found at‐risk alcohol users were 3 times more likely to smoke.20 There are limited data describing concurrent smoking and substance use in the hospital population,15 and no reports describing the association between patients' willingness to quit smoking and readiness to change substance use behavior.
To better inform hospital‐based smoking and substance use intervention strategies, the epidemiology of smoking and substance use in the hospital population needs to be better described. Furthermore, there may be opportunities for synergy between these programs. In this study, we screened inpatients from multiple services at 2 hospitals for tobacco, alcohol, and illicit substance use. We report the prevalence and co‐occurrence of these behaviors and willingness to quit smoking among patients with and without at‐risk substance use.
METHODS
Data for this study were obtained for a 5‐year Substance Abuse and Mental Health Services Administration (SAMHSA) grant to the Illinois Office of the Governor. The grant was awarded to implement screening, brief intervention, brief treatment, and referral to treatment programs for patients of the Cook County Bureau of Health Services who had alcohol or other drug use disorders. We analyzed data collected from nonIntensive Care Unit patients who had been hospitalized on the internal medicine, family practice, HIV, or surgery services at John H. Stroger Jr Hospital of Cook County (formerly Cook County Hospital, a 464‐bed public, tertiary‐care hospital) or Provident Hospital of Cook County (a 100‐bed public community hospital), in Chicago, Illinois. Because internal medicine and family practice patients were similar in demographic characteristics and interview responses, we considered these as a single service. There is an HIV service at Stroger Hospital; all HIV‐infected patients are admitted or transferred to this service. For each patient, we used data collected from their initial hospitalization during a 9‐month study period (April 1, 2006 through December 31, 2006). Using hospital admission data, we estimated that 65% of patients were interviewed by a counselor; only 5% of patients could not be interviewed due to patient refusal or mental status changes.
Patients were screened for alcohol use, drug use, and smoking history by bedside interview. We defined at‐risk substance use as any illicit drug use within the previous 3 months or alcohol use that exceeded the National Institute for Alcohol Abuse and Alcoholism (NIAAA) guidelines for low‐risk drinking (no more than 5 drinks per day or 14 drinks per week for men up to age 65; no more than 3 drinks per day or 7 drinks per week for men over 65 and women). Based on their responses to questions about smoking history, patients were categorized into the following 4 groups: current smokers (ie, smoked within the previous 7 days), recent quitters (ie, quit within 8 days and 6 months), ex‐smokers (quit more than 6 months ago), or never smokers. Current smokers were also asked about their heaviness of smoking and willingness to quit. All smokers received a counseling session during hospitalization. All smokers who indicated a desire to quit were encouraged to call the Illinois Quitline after hospital discharge. Individuals who smoked between 10‐14 cigarettes per day and smoked their first cigarette within 30 minutes of waking or who smoked 15 or more cigarettes per day were classified as moderate or heavy smokers; all other smokers were classified as light smokers. We established these cut‐points by modifying the Public Health Service guideline and Heaviness of Smoking Index.5, 21, 22 The heaviness of smoking classification was used to guide recommendations to the primary service regarding the appropriateness of nicotine patch therapy during and after hospitalization. For moderate to heavy smokers who were willing to quit, the recommendation was to continue nicotine replacement after hospitalization.5
Patients were considered low health risk if their alcohol use did not exceed NIAAA guidelines and they reported no recent drug use. For all patients who reported alcohol use that exceeded the NIAAA guidelines or recent drug use, we administered the Texas Christian University Drug Screen II (TCU)23 to further characterize the severity of their use. Patients who had a TCU score of 3 were considered at‐risk substance users with substance dependence disorder; patients with scores of 2 or less were considered at‐risk substance users without dependence. Among all at‐risk substance users, we used a 10‐point visual analog scale to assess their readiness to change substance use. After evaluating the distribution and clustering of scores, we prespecified that a score 8 was indicative of a patient being ready to change their substance use behavior. This ruler has been successfully implemented as part of the Brief Negotiated Interview and Active Referral to Treatment Institute toolbox.24
Analysis
To facilitate comparison with other data sources, we used the same age categories as the National Survey on Drug Use and Health.1 Differences between proportions were evaluated by the chi‐squared test. We analyzed the trend in smoking behavior across the strata of substance use (ie, number of substances used and severity of use) using the Cochrane‐Armitage test for trend. To evaluate the association between substance use and smoking, multivariable models were constructed that included terms to adjust for age, race, gender, and hospital service; potential confounders (eg, age, race, gender, and service) were included in the final model if they significantly contributed to the outcome variable (P < 0.1). From these multivariable models, prevalence ratios were estimated using the binary log transformation in PROC GENMOD.25, 26 All data were analyzed using SAS version 9.0 (SAS Institute Inc., Cary, NC).
RESULTS
Patient Characteristics
Of the 7,714 unique patients interviewed at the 2 hospitals, we had data on smoking status for 7,391 (96%) (Table 1). The mean age was 50 years, most were male, cared for by the internal medicine or family practice service, and the most common racial/ethnic category was non‐Hispanic Black, followed by Hispanic, non‐Hispanic White, and Asian (Table 1). More than one‐quarter of patients reported at‐risk substance use other than tobacco; the most common substance used was alcohol followed by cocaine, marijuana, and then heroin (Table 1). Most patients who were at‐risk substance users (52%) met criteria for substance dependence disorder.23
Characteristic | N | (%) | Smoking prevalence* (%) | Prevalence ratio (95% CI) | |
---|---|---|---|---|---|
| |||||
Age category | |||||
18‐25 | 479 | (6) | 35 | 2.6 | (2.1 to 3.1) |
26‐34 | 664 | (9) | 38 | 2.8 | (2.4 to 3.4) |
35‐44 | 1306 | (18) | 46 | 3.4 | (2.9 to 4.0) |
45‐54 | 2182 | (30) | 46 | 3.4 | (2.9 to 4.0) |
55‐64 | 1563 | (21) | 31 | 2.3 | (2.0 to 2.7) |
65 and older | 1185 | (16) | 13 | ref | |
Race/Ethnicity | |||||
Non Hispanic Black | 4990 | (68) | 45 | 3.0 | (2.2 to 4.0) |
Non Hispanic White | 850 | (12) | 40 | 2.7 | (2.0 to 3.6) |
Hispanic | 1222 | (17) | 19 | 1.3 | (0.9 to 1.7) |
Asian | 253 | (3) | 15 | ref | |
Other | 27 | (<1) | |||
Gender | |||||
Male | 4279 | (58) | 42 | 1.5 | (1.4 to 1.6) |
Female | 3099 | (42) | 29 | ref | |
Service | |||||
HIV | 227 | (3) | 52 | 1.7 | (1.5 to 2.0) |
Internal medicine or | 6278 | (85) | 36 | 1.2 | (1.1 to 1.3) |
family practice | |||||
Surgery | 886 | (12) | 31 | ref |
Tobacco Use
Many hospitalized patients were current smokers (36%) and 35% of current smokers were moderate to heavy smokers. The prevalence of smoking varied significantly by age category, race, gender, and service. By age category, the prevalence of smoking peaked at 3554 years with lower rates of smoking at either extreme of age (Table 1). Non‐Hispanic Blacks and Whites had a prevalence of smoking 3‐fold higher than Asians; Hispanics were less likely to smoke than non‐Hispanic Whites or Blacks. Men were more likely to smoke than women, and patients on the HIV or internal medicine/family practice services had a higher prevalence of smoking compared to patients on the surgery service (Table 1).
The proportion of current smokers who were moderate to heavy smokers was similar between patients with no‐risk or low‐risk substance use and those who had at‐risk substance use without dependence (32% versus 34%, respectively); however, current smokers who were substance‐dependent were 40% more likely to be moderate to heavy smokers (48%) (prevalence ratio [PR]: 1.4, 95% confidence interval [CI]: 1.1 to 1.9).
Concurrent Tobacco and Substance Use
Compared to patients who reported low‐risk substance use, patients with at‐risk substance use had a dramatically higher prevalence of smoking (Table 2). In addition, there was a significant increase in the likelihood of smoking across the 3 levels of substance use and the number of substances used (Table 2).
N | (%) | Smoking prevalence (%) | Adjusted prevalence ratio (95% CI)* | ||
---|---|---|---|---|---|
| |||||
Risk Index | |||||
Low Health Risk | 5419 | (73) | 24 | ref | |
At‐Risk, not dependent | 945 | (13) | 64 | 2.2 | (2.0 to 2.3) |
At‐Risk, dependent | 1027 | (14) | 75 | 2.5 | (2.3 to 2.6) |
Specific substance use | |||||
Low Health Risk | 5419 | (73) | 24 | ref | |
At‐Risk Alcohol Use | 1171 | (16) | 68 | 2.2 | (2.1 to 2.4) |
At‐ Risk Marijuana Use | 688 | (9) | 70 | 2.1 | (2.0 to 2.3) |
At‐Risk Cocaine Use | 503 | (7) | 79 | 2.4 | (2.2 to 2.6) |
At‐Risk Heroin Use | 448 | (6) | 82 | 2.4 | (2.2 to 2.6) |
Number of drugs | |||||
None | 5419 | (73) | 24 | ref | |
One | 1284 | (17) | 64 | 2.2 | (2.0 to 2.3) |
Two or more | 688 | (9) | 81 | 2.6 | (2.5 to 2.8) |
Willingness to Quit
Most patients (61%) who smoked were willing to immediately quit smoking. After adjusting for other demographic confounders, non‐Hispanic Blacks and the elderly (age > 65) were more willing to quit (P < 0.05, data not shown). The substance use risk categories of low risk, at‐risk, and dependence were not associated with willingness to quit tobacco (Fig. 1, left panel).

Regardless of substance use category, most patients were ready to change their substance use behavior (Fig. 1). Those patients who were ready to change their substance use behavior, regardless of whether they were substance‐dependent, were significantly more likely to report a willingness to quit smoking than those who were not ready to change (Fig. 1, right panel). In fact, at‐risk substance users without dependence who were ready to change their substance use were more willing to quit smoking than patients without at‐risk substance use (72% versus 64%; P < 0.05).
DISCUSSION
Among hospital patients, we found a 46% absolute increase in the prevalence of smoking among those who used illicit substances or alcohol above NIAAA guidelines compared to those who did not report such use. The prevalence of smoking increased across the spectrum of substance use, being highest for patients who met criteria for dependence. Also, patients who were substance dependent were more likely to be moderate to heavy smokers, suggesting an association between alcohol or other drug dependence disorders and nicotine dependence. Regardless of their patterns of substance use, most patients expressed a desire to immediately quit smoking and there was a strong association between willingness to quit smoking and readiness to reduce substance use.
In our hospital population, the prevalence of smoking among patients who use illicit drugs or at‐risk quantities of alcohol far exceeds estimates obtained from population‐based surveys. In addition to the relatively high prevalence of smoking, focusing attention on hospital patients who use substances is important for several other reasons. Individuals who use substances are less likely to receive health care from a primary care physician.28 Also, most patients who have substance use disorders do not enter treatment programs,1 even after hospitalization.29 Further, hospitals provide a setting that facilitates change; patients are temporarily required to stop smoking, and often they are available for relatively long counseling sessions. Finally, for patients without substance use disorders, hospital‐based smoking cessation intervention programs have been proven to be successful in several randomized controlled trials.10, 30
Because alcohol and drug use are so common among hospitalized smokers, it is unfortunate that there is little evidence from clinical trials to inform intervention strategies for patients with concurrent use. The clinical trials that form the evidence base for intervention among hospitalized smokers10 either have explicitly excluded patients who reported substance use,10, 15, 3133 did not assess baseline substance use,34, 35 or were underpowered to perform subgroup analyses on this population.36 Awaiting better evidence, we have chosen to routinely screen hospital patients for tobacco, alcohol, and drug use. For treatment strategies, we extrapolate the findings from successful interventions in the ambulatory setting37 or among hospital patients who do not use substances to our population. We offer smoking cessation interventions to patients regardless of other substance use.
Understanding the similarities and differences between smokers who use substances and those who do not is important in implementing successful strategies for smoking cessation. Rather than a step‐wise increase in heaviness of smoking across substance use categories (ie, no‐risk or low‐risk use, at‐risk use without dependence, and substance dependence), we found an increased heaviness of smoking only among substance‐dependent smokers; there was no difference in heaviness of smoking between those with at‐risk use without dependence and those with no‐risk or low‐risk use. Because interventions for patients who have nicotine dependence are more likely to succeed when pharmacotherapy is offered as an adjunct to behavior therapy,38 smokers who also are substance‐dependent likely will benefit from the addition of pharmacotherapy. One similarity is that all patients, regardless of substance use category, were willing to quit smoking. In fact, hospitalized smokers who were ready to change at‐risk substance use were more willing to quit smoking than patients who had no‐risk or low‐risk substance use. Previous investigators have found that smokers who use substances have fewer quit attempts,39 higher nicotine dependence,37, 39 and lower enrollment in smoking cessation interventions.38
Our study only includes data from patients at 2 public hospitals; therefore, our findings may not generalize to populations of higher socioeconomic status. Also, our smoking screening tool had relatively low sensitivity for categorizing current smokers as moderate to heavy smokers; therefore, we may have underestimated the number of moderate to heavy smokers.5, 22 Further, given our cross‐sectional study design, we were unable to evaluate whether patients who have at‐risk substance use remain willing to quit smoking after hospital discharge or to the effectiveness of our smoking cessation program. Finally, socially desirable responses may have caused patients to overstate their willingness to quit tobacco and readiness to change substance use. Additional research is needed to determine whether post‐hospitalization quit rates are similar between smokers with and without at‐risk substance use, and the optimal timing for smoking cessation interventions in relation to substance dependence treatment.40
Hospital patients who have substance use disorders are also highly likely to smoke, and these patients express a willingness to quit smoking. Given the frequency of concurrent smoking and other substance misuse and patients' desire to change both behaviors, there is a role for coordination of substance use and smoking cessation intervention programs.
- US Department of Health 24:201–208.
- Actual causes of death in the United States, 2000.JAMA.2004;291:1238–1245. , , , .
- Global burden of disease from alcohol, illicit drugs and tobacco.Drug Alcohol Rev.2006;25:503–513. , , .
- A clinical practice guideline for treating tobacco use and dependence,:A US Public Health Service report. The tobacco use and dependence clinical practice guideline panel, staff, and consortium representatives.JAMA.2000;283:3244–3254.
- U.S.Preventive Services Task Force. Behavioral counseling interventions in primary care to reduce risky/harmful alcohol use by adults: a summary of the evidence for the U.S. Preventive Services Task Force.Ann Intern Med.2004;140:557–568. , , , , ,
- Work Group on Substance Use Disorders, , , et al.Treatment of patients with substance use disorders, second edition. American Psychiatic Association.Am J Psych.2006;163(8 Suppl):75–82.
- Smokers who are hospitalized: a window of opportunity for cessation interventions.Prev Med.1992;21;262–269. , .
- Helping hospitalized smokers quit: new directions for treatment and research.J Consult Clin Psychol.1993;61:778–89. , , .
- Interventions for smoking cessation in hospitalised patients.Cochrane Database Sys Rev.2007;3(3);CD001837. , , .
- Expanding the roles of hospitalists physicians to include public health.J Hosp Med.2007;2:93–101. , , , .
- Smoking status as a clinical indicator for alcohol misuse in US adults.Arch Intern Med.2007;167:716–721. , , , , .
- Alcohol high risk drinking, abuse and dependence among tobacco smoking medical care patients and the general population.Drug Alcohol Depend.2003;69:189–195. , , , , .
- Nicotine dependence and psychiatric disorders in the United States: results from the national epidemiologic survey on alcohol and related conditions.Arch Gen Psychiatry.2004;61:1107–1115. , , , , .
- Smoking and mental illness: A population‐based prevalence study.JAMA.2000;284:2606–2610. , , , , , .
- Clinical Implications of the association between smoking and alcoholism. In:Fertig JB,Allen JP, eds.Alcohol and Tobacco: From Basic Science to Clinical Practice.Bethesda, MD:NIAAA Research;1995:171–185. .
- Smoking and drinking among alcoholics in treatment: cross‐sectional and longitudinal relationships.J Stud Alcohol.2000;61:157–163. , , , , , .
- Interrelationship of smoking and alcohol dependence, use and urges to use.J Stud Alcohol.1995;56:202–206. , , , et al.
- Tobacco cessation treatment for alcohol‐dependent smokers: when is the best time?Alcohol Res Health.2006;29:203–207. , , .
- Substance use in the general hospital.Addict Behav.2003;28:483–499. , , , et al.
- Measuring the heaviness of smoking: Using self‐reported time to the first cigarette of the day and number of cigarettes smoked per day.Br J Addict.1989;84:791–799. , , , , .
- The Heaviness of Smoking Index as a predictor of smoking cessation in Canada.Addict Behav.2007;32:1031–1042. , , , .
- Effectiveness of screening instruments in detecting substance use disorders among prisoners.J Subst Abuse Treat.2000;18:349–358. , , , et al.
- Th BNI‐ART Institute, Readiness Ruler. http://www.ed.bmc.org/sbirt/techniques.php. Accessed August 20,2008.
- A modified poisson regression approach to prospective studies with binary data.Am J Epidemiol.2004;159:702–706. .
- Estimating the relative risk in cohort studies and clinical trials of common outcomes.Am J Epidemiol.2003;157:940–943. , , , .
- Do smokers with alcohol problems have more difficulty quitting?Drug Alcohol Depend.2006;82:91–102. , .
- Emergency room and primary care services utilization and associated alcohol and drug use in the United States general population.Alcohol Alcohol.1999;34:581–589. .
- Brief intervention for medical inpatients with unhealthy alcohol use: a randomized, controlled trial.Ann Intern Med.2007;146:167–176. , , , et al.
- Smoking cessation interventions among hospitalized patients: what have we learned?Prev Med.2001;32:376–388. , , .
- Smoking cessation and severity of disease: the Coronary Artery Smoking Intervention Study.Health Psychol.1992;11:119–126. , , , et al.
- A randomized controlled trial of smoking cessation counseling after myocardial infarction.Prev Med.2000;30:261–268. , , , , .
- Comorbid cigarette and alcohol addiction: epidemiology and treatment.J Addict Dis.1998;17:55–66. , .
- A case‐management system for coronary risk factor modification after acute myocardial infarction.Ann Intern Med.1994;120:721–729. , , , et al.
- A nurse‐managed smoking cessation program for hospitalized smokers.Am J Public Health.1996;86:1557–1560. , , , et al.
- Smoking cessation after surgery. A randomized trial.Arch Intern Med.1997;157:1371–1376. , , , .
- Efficacy of nicotine patch in smokers with a history of alcoholism.Alcohol Clin Exp Res.2003;27:946–954. , , , , .
- Predictors of tobacco quit attempts among recovering alcoholics.J Subst Abuse.1996;8:431–443. , , , .
- Is dependence on one drug associated with dependence on other drugs? The cases of alcohol, caffeine and nicotine.Am J Addict.2000;9:196–201. , , .
- Nicotine interventions with comorbid populations.Am J Prev Med.2007;33:S406–S413. .
- US Department of Health 24:201–208.
- Actual causes of death in the United States, 2000.JAMA.2004;291:1238–1245. , , , .
- Global burden of disease from alcohol, illicit drugs and tobacco.Drug Alcohol Rev.2006;25:503–513. , , .
- A clinical practice guideline for treating tobacco use and dependence,:A US Public Health Service report. The tobacco use and dependence clinical practice guideline panel, staff, and consortium representatives.JAMA.2000;283:3244–3254.
- U.S.Preventive Services Task Force. Behavioral counseling interventions in primary care to reduce risky/harmful alcohol use by adults: a summary of the evidence for the U.S. Preventive Services Task Force.Ann Intern Med.2004;140:557–568. , , , , ,
- Work Group on Substance Use Disorders, , , et al.Treatment of patients with substance use disorders, second edition. American Psychiatic Association.Am J Psych.2006;163(8 Suppl):75–82.
- Smokers who are hospitalized: a window of opportunity for cessation interventions.Prev Med.1992;21;262–269. , .
- Helping hospitalized smokers quit: new directions for treatment and research.J Consult Clin Psychol.1993;61:778–89. , , .
- Interventions for smoking cessation in hospitalised patients.Cochrane Database Sys Rev.2007;3(3);CD001837. , , .
- Expanding the roles of hospitalists physicians to include public health.J Hosp Med.2007;2:93–101. , , , .
- Smoking status as a clinical indicator for alcohol misuse in US adults.Arch Intern Med.2007;167:716–721. , , , , .
- Alcohol high risk drinking, abuse and dependence among tobacco smoking medical care patients and the general population.Drug Alcohol Depend.2003;69:189–195. , , , , .
- Nicotine dependence and psychiatric disorders in the United States: results from the national epidemiologic survey on alcohol and related conditions.Arch Gen Psychiatry.2004;61:1107–1115. , , , , .
- Smoking and mental illness: A population‐based prevalence study.JAMA.2000;284:2606–2610. , , , , , .
- Clinical Implications of the association between smoking and alcoholism. In:Fertig JB,Allen JP, eds.Alcohol and Tobacco: From Basic Science to Clinical Practice.Bethesda, MD:NIAAA Research;1995:171–185. .
- Smoking and drinking among alcoholics in treatment: cross‐sectional and longitudinal relationships.J Stud Alcohol.2000;61:157–163. , , , , , .
- Interrelationship of smoking and alcohol dependence, use and urges to use.J Stud Alcohol.1995;56:202–206. , , , et al.
- Tobacco cessation treatment for alcohol‐dependent smokers: when is the best time?Alcohol Res Health.2006;29:203–207. , , .
- Substance use in the general hospital.Addict Behav.2003;28:483–499. , , , et al.
- Measuring the heaviness of smoking: Using self‐reported time to the first cigarette of the day and number of cigarettes smoked per day.Br J Addict.1989;84:791–799. , , , , .
- The Heaviness of Smoking Index as a predictor of smoking cessation in Canada.Addict Behav.2007;32:1031–1042. , , , .
- Effectiveness of screening instruments in detecting substance use disorders among prisoners.J Subst Abuse Treat.2000;18:349–358. , , , et al.
- Th BNI‐ART Institute, Readiness Ruler. http://www.ed.bmc.org/sbirt/techniques.php. Accessed August 20,2008.
- A modified poisson regression approach to prospective studies with binary data.Am J Epidemiol.2004;159:702–706. .
- Estimating the relative risk in cohort studies and clinical trials of common outcomes.Am J Epidemiol.2003;157:940–943. , , , .
- Do smokers with alcohol problems have more difficulty quitting?Drug Alcohol Depend.2006;82:91–102. , .
- Emergency room and primary care services utilization and associated alcohol and drug use in the United States general population.Alcohol Alcohol.1999;34:581–589. .
- Brief intervention for medical inpatients with unhealthy alcohol use: a randomized, controlled trial.Ann Intern Med.2007;146:167–176. , , , et al.
- Smoking cessation interventions among hospitalized patients: what have we learned?Prev Med.2001;32:376–388. , , .
- Smoking cessation and severity of disease: the Coronary Artery Smoking Intervention Study.Health Psychol.1992;11:119–126. , , , et al.
- A randomized controlled trial of smoking cessation counseling after myocardial infarction.Prev Med.2000;30:261–268. , , , , .
- Comorbid cigarette and alcohol addiction: epidemiology and treatment.J Addict Dis.1998;17:55–66. , .
- A case‐management system for coronary risk factor modification after acute myocardial infarction.Ann Intern Med.1994;120:721–729. , , , et al.
- A nurse‐managed smoking cessation program for hospitalized smokers.Am J Public Health.1996;86:1557–1560. , , , et al.
- Smoking cessation after surgery. A randomized trial.Arch Intern Med.1997;157:1371–1376. , , , .
- Efficacy of nicotine patch in smokers with a history of alcoholism.Alcohol Clin Exp Res.2003;27:946–954. , , , , .
- Predictors of tobacco quit attempts among recovering alcoholics.J Subst Abuse.1996;8:431–443. , , , .
- Is dependence on one drug associated with dependence on other drugs? The cases of alcohol, caffeine and nicotine.Am J Addict.2000;9:196–201. , , .
- Nicotine interventions with comorbid populations.Am J Prev Med.2007;33:S406–S413. .
Copyright © 2008 Society of Hospital Medicine
Curriculum for the Hospitalized Aging Medical Patient
A crucial arena of innovative educational programs for the care of the elderly must include the hospital setting, a place of great cost, morbidity, and mortality for a population currently occupying approximately half of US hospital beds.1 With a marked acceleration in the number of persons living to an advanced age, there is a clear imperative to address the health‐care needs of the elderly, particularly the complex and frail.24 An educational grounding that steps beyond the traditional organ‐based models of disease to a much broader patient‐centered framework of care is necessary to aid physicians in advanced clinical decision‐making in the care of older patients. Organizing the medical care of the older patient within existing systems of care and a team care management network must also be improved.
Curricular materials and methods are widely available for teaching geriatric medicine,57 but most are geared toward outpatient care and management, with few addressing the care of the hospitalized, older medical patient.810 There is even less published on curricular materials, methods, and tools for such teaching outside of specialized hospital‐based geriatric units by nongeriatrics‐trained faculty.1113 Furthermore, the evaluation of geriatrics educational programs in the hospital setting has not been done with the ultimate assessment, the linking of educational programs to demonstrated changes in clinical practice and patient care outcomes.
To address these needs, we designed and implemented the Curriculum for the Hospitalized Aging Medical Patient (CHAMP) Faculty Development Program (FDP). CHAMP was funded by a grant from the Donald W. Reynolds Foundation Aging and Quality of Life Program with a matching commitment from the University of Chicago Department of Medicine. At the core of CHAMP are principles of care for the older patient in the hospital setting, with an emphasis on identifying and providing care for the complex and frail elderly with nongeriatrician inpatient medicine faculty as the primary teachers of these materials. The overall educational goals of the CHAMP FDP are the following: (1) to train hospitalists and general internists to recognize opportunities to teach geriatric medicine topics specific to the care of the hospitalized older patient; (2) to create teaching materials, tools, and methods that can be used in the busy medical inpatient setting at the bedside; (3) to create materials and tools that facilitate teaching the Accreditation Council for Graduate Medical Education (ACGME) core competencies14 during ward rounds; and (4) to increase the frequency and effectiveness with which this geriatrics content is taught in the hospital setting. This article describes the development and refinement of the CHAMP FDP and evaluation results to date.
METHODS
The CHAMP FDP was developed by a core group of geriatricians, hospitalists, general medicine faculty, and PhD educators from the Office of the Dean at the University of Chicago Pritzker School of Medicine. The core group piloted the FDP for themselves in spring 2004, and the FDP was offered to target learners annually from 2004 to 2006.
CHAMP Participants
The targeted faculty learners for the CHAMP FDP were hospitalists and general internists who attend on an inpatient medicine service for 1 to 4 months yearly. CHAMP Faculty Scholars were self‐selected from the eligible faculty of the University of Chicago. Approximately one‐third of the CHAMP Faculty Scholars held significant administrative and/or teaching positions in the Department of Medicine, residency program, or medical school. Overall, general internist and hospitalist faculty members of the University of Chicago are highly rated inpatient teachers with a 2004‐2007 average overall resident teaching rating of 3.79 (standard deviation = 0.53) on a scale of 1 to 4 (4 = outstanding). For each yearly cohort, we sought to train 8 to 10 Faculty Scholars. The Donald W. Reynolds Foundation grant funds supported the time of the Faculty Scholars to attend the CHAMP FDP 4 hours weekly for the 12 weeks of the course with release from a half‐day of outpatient clinical duties per week for the length of the FDP. Scholars also received continuing medical education credit for time spent in the FDP.
CHAMP Course Design, Structure, and Content
Design and Structure
The CHAMP FDP consists of twelve 4‐hour sessions given once weekly from September through November of each calendar year. Each session is composed of discrete teaching modules. During the first 2 hours of each session, 1 or 2 modules cover inpatient geriatric medicine content. The remaining 2 hours are devoted to modules consisting of the Stanford FDP for Medical Teachers: Improving Clinical Teaching (first 7 sessions)15, 16 and a course developed for the CHAMP FDP named Teaching on Today's Wards (remaining 5 sessions).
In addition to the overarching goals of the CHAMP FDP, each CHAMP module has specific learning objectives and an evaluation process based on the standard precepts of curriculum design.17 Further modifications of the CHAMP content and methods were strongly influenced by subsequent formal evaluative feedback on the course content, materials, and methods by the Faculty Scholars in each of the 4 FDP groups to date.
Geriatrics Content
The FDP geriatrics content and design model were developed as follows: reviewing existing published geriatrics curricular materials,5, 6, 8, 18 including high‐risk areas of geriatric hospital care;1922 drawing from the experience of the inpatient geriatric evaluation and treatment units;2325 and reviewing the Joint Commission mandates26 that have a particular impact on the care of the older hospitalized patients (eg, high‐risk medications, medication reconciliation, restraint use, and transitions of care). Final curricular materials were approved by consensus of the University of Chicago geriatrics/hospitalist core CHAMP faculty. A needs assessment surveying hospitalists at a regional Society of Hospital Medicine meeting showed a strong concordance between geriatrics topics that respondents thought they were least confident about in their knowledge, that they thought would be most useful to learn, and that we proposed for the core geriatrics topics for the CHAMP FDP, including pharmacy of aging, pressure ulcers, delirium, palliative care, decision‐making capacity, and dementia.27
Each geriatric topic is presented in 30‐ to 90‐minute teaching sessions with didactic lectures and case‐based discussions and is organized around 4 broad themes (Table 1). These lectures emphasize application of the content to bedside teaching during hospital medicine rounds. For example, the session on dementia focuses on assessing decision‐making capacity, the impact of dementia on the care of other medical illnesses and discharge decisions, dementia‐associated frailty with increased risk of hospitalization‐related adverse outcomes, and pain assessment in persons with dementia.
|
Theme 1: Identify the frail/vulnerable elder |
Identification and assessment of the vulnerable hospitalized older patient |
Dementia in hospitalized older medical patients: Recognition of and screening for dementia, assessment of medical decision‐making capacity, implications for the treatment of nondementia illness, pain assessment, and improvement of the posthospitalization transition of care |
Theme 2: Recognize and avoid hazards of hospitalization |
Delirium: Diagnosis, treatment, risk stratification, and prevention |
Falls: Assessment and prevention |
Foley catheters: Scope of the problem, appropriate indications, and management |
Deconditioning: Scope of the problem and prevention |
Adverse drug reactions and medication errors: Principles of drug review |
Pressure ulcers: Assessment, treatment, and prevention |
Theme 3: Palliate and address end‐of‐life issues |
Pain control: General principles and use of opiates |
Symptom management in advanced disease: Nausea |
Difficult conversations and advance directives |
Hospice and palliative care and changing goals of care |
Theme 4: Improve transitions of care |
The ideal hospital discharge: Core components and determining destination |
Destinations of posthospital care: Nursing homes for skilled rehabilitation and long‐term care |
The CHAMP materials created for teaching each topic at the bedside included topic‐specific teaching triggers, clinical teaching questions, and summary teaching points. The bedside teaching materials and other teaching tools, such as pocket cards with teaching triggers and clinical content (see the example in the appendix), commonly used geriatric measures (eg, the Confusion Assessment Method for delirium),28 and sample forms for teaching aspects of practice‐based learning and improvement and systems‐based practice, were available to Faculty Scholars electronically on the University of Chicago Course Management System (the CHALK E‐learning Web site). The CHAMP materials are now published at the University of Chicago Web site (
Teaching Content
The material referring to the process of teaching has been organized under 4 components in the CHAMP FDP.
The Stanford FDP for Medical Teachers15, 16
This established teaching skills course uses case scenarios and practice sessions to hone skills in key elements of teaching: learning climate, control of session, communication of goals, promotion of understanding and retention, evaluation, feedback, and promotion of self‐directed learning. This portion of the FDP was taught by a University of Chicago General Medicine faculty member trained and certified to teach the course at Stanford.
Teaching on Today's Wards
The Teaching on Today's Wards component was developed specifically for CHAMP to address the following: (1) to improve bedside teaching in the specific setting of the inpatient wards; (2) to increase the amount of geriatric medicine content taught by nongeriatrics faculty during bedside rounds; and (3) to teach the specific ACGME core competencies of professionalism, communication, practice‐based learning and improvement, and systems‐based practice during ward rounds (Table 2).
ACGME Core Competency | Addressed in CHAMP Curriculum |
---|---|
| |
Knowledge/patient care | All geriatric lectures (see Table 1) |
Professionalism | Geriatric lectures |
1. Advance directives and difficult conversations | |
2. Dementia: Decision‐making capacity | |
Teaching on Today's Wards exercises and games | |
1. Process mapping | |
2. I Hope I Get a Good Team game | |
3. Deciding What To Teach/Missed Teaching Opportunities game | |
Communication | Geriatric lectures |
1. Advance directives and difficult conversations | |
2. Dementia: Decision‐making capacity | |
3. Destinations for posthospital care: Nursing homes | |
Teaching on Today's Wards exercises and games | |
1. Process mapping | |
2. Deciding What To Teach/Missed Teaching Opportunities game | |
Systems‐based practice | Geriatric lectures |
1. Frailty: Screening | |
2. Delirium: Screening and prevention | |
3. Deconditioning: Prevention | |
4. Falls: Prevention | |
5. Pressure ulcers: Prevention | |
6. Drugs and aging: Drug review | |
7. Foley catheter: Indications for use | |
8. Ideal hospital discharge | |
Teaching on Today's Wards exercises and games | |
1. Process mapping | |
2. Deciding What To Teach/Missed Teaching Opportunities game | |
3. Quality improvement projects | |
Practice‐based learning and improvement | Teaching on Today's Wards exercises and games |
1. Case audit | |
2. Census audit | |
3. Process mapping |
Session one of Teaching on Today's Wards takes the Faculty Scholars through an exploration of their teaching process on a postcall day using process mapping.29, 30 This technique, similar to constructing a flow chart, involves outlining the series of steps involved in one's actual (not ideal) process of postcall teaching. Faculty Scholars then explore how to recognize opportunities and add geriatric topics and the ACGME core competencies to their teaching on the basis of their own teaching process, skill sets, and clinical experience.
Session two explores goal setting, team dynamics, and the incorporation of more geriatrics teaching into the Faculty Scholar's teaching agenda through a series of interactive card game exercises facilitated in small group discussion. Card game 1, I Hope I Get a Good Team, allows learners to practice goal setting for their inpatient team using a hypothetical game card team based on the learning level, individuals' strengths and weaknesses, and individuals' roles in the team hierarchy. Card game 2, Deciding What To Teach/Missed Opportunities, helps learners develop a teaching agenda on any set of patients that incorporates the CHAMP geriatric topics and the ACGME core competencies.
Sessions three and four teach learners about the systems‐based practice and practice‐based learning and improvement competencies, including an introduction to quality improvement. These interactive sessions introduce Faculty Scholars to the plan‐do‐study‐act method,31 using the example of census and case audits32 to provide an objective and structured method of assessing care. These audits provide a structure for the medical team to review its actual care and management practices and for faculty to teach quality improvement. Examples of census audits developed by CHAMP faculty, including deep venous thrombosis prophylaxis, Foley catheter use, and use of proton pump inhibitors, provide models for the faculty learners to create their own audits.
The fifth session focuses on developing skills for life‐long learning. Based on previous work on medical education and evidence‐based medicine,33, 34 these sessions provide learners with a framework to identify and address knowledge gaps, obtain effective consultation, ask pertinent questions of learners, and self‐assess their teaching skills.
Observed Structured Teaching Exercises
Observed structured teaching exercises allow the deliberate practice of teaching new curricular materials and skills and have been shown to improve teaching skills for both faculty and resident teachers using standardized students in a simulated teaching environment.3537 The observed structured teaching exercises developed for CHAMP allow the Faculty Scholars to practice teaching geriatrics content using the one‐minute preceptor teaching method.38
Commitment to Change (CTC) Contracts
CTC contracts provide a method for sustaining CHAMP teaching. At the end of the FDP, we ask Faculty Scholars to sign a CTC contract,39, 40 selecting at least 1 geriatric topic and 1 topic from Teaching on Today's Wards to teach in future inpatient teaching attending months. Over the year(s) following the FDP, the CHAMP project director frequently contacts the Faculty Scholars via e‐mail and phone interviews before, during, and after each month of inpatient service. The CTC contract is formally reviewed and revised annually with each CHAMP Faculty Scholar by the CHAMP project director and a core CHAMP faculty member.
Evaluation
A comprehensive multilevel evaluation scheme was developed based on the work of Kirkpatrick,41 including participant experience and teaching and subsequent clinical outcomes. This article reports only on the knowledge, attitudes, and behavioral self‐report data collected from participants, and remaining data will be presented in future articles.
The evaluation of the FDP program includes many commonly used methods for evaluating faculty learners, including recollection and retention of course content and self‐reported behavioral changes regarding the incorporation of the material into clinical teaching and practice. The more proximal evaluation includes precourse and postcourse performance on a previously validated geriatric medicine knowledge test,4244 precourse and postcourse performance on a validated survey of attitudes regarding older persons and geriatric medicine,45 a self‐assessment survey measuring self‐reported importance of and confidence in practicing and teaching geriatric skills, and Faculty Scholars' reports of subsequent frequency of teaching on the geriatric medicine and Teaching on Today's Wards content.
Faculty Scholars' feedback regarding their reaction to and satisfaction with the CHAMP FDP includes immediate postsession evaluations of each individual CHAMP FDP session and its content.
Analyses
We calculated the overall satisfaction of the FDP by aggregating evaluations for all session modules across the 4 cohorts. Satisfaction was measured with 6 questions, which included an overall satisfaction question and were answered with 5‐point Likert scales.
Pre‐CHAMP and post‐CHAMP scores on the geriatrics knowledge test and geriatrics attitude scale were calculated for each participant and compared with paired‐sample t tests. Composite scores for the self‐reported behavior for importance of/confidence in practice and importance of/confidence in teaching were calculated for each set of responses from each participant. The average scores across all 14 geriatrics content items for importance of/confidence in practice and importance of/confidence in teaching were calculated pre‐CHAMP and post‐CHAMP and compared with a paired‐sample t test. Similarly, self‐reported behavior ratings of importance of/confidence in teaching were calculated by the averaging of responses across the 10 Teaching on Today's Wards items. Pre‐CHAMP and post‐CHAMP average scores were compared with paired‐sample t tests on SPSS version 14 (SPSS, Chicago, IL). Data from the pilot sessions were included in the analyses to provide adequate power.
RESULTS
We pilot‐tested the format, materials, methods, and evaluation components of the CHAMP FDP with the CHAMP core faculty in the spring of 2004. The revised CHAMP FDP was given in the fall of 2004 to the first group of 8 faculty learners. Similar annual CHAMP FDPs have occurred since 2004, with a total of 29 Faculty Scholars by 2006. This includes approximately half of the University of Chicago general medicine faculty and the majority of the hospitalist faculty. Geriatrics fellows, a medicine chief resident, and other internal medicine subspecialists have also taken the CHAMP FDP. The average evaluations of all CHAMP sessions by all participants are shown in Table 3.
Rating Criteria* | Average (SD) | N |
---|---|---|
| ||
Teaching methods were appropriate for the content covered. | 4.5 0.8 | 571 |
The module made an important contribution to my practice. | 4.4 0.9 | 566 |
Supplemental materials were effectively used to enhance learning. | 4.0 1.6 | 433 |
I feel prepared to teach the material covered in this module. | 4.1 1.0 | 567 |
I feel prepared to incorporate this material into my practice. | 4.4 0.8 | 569 |
Overall, this was a valuable educational experience. | 4.5 0.8 | 565 |
Faculty Scholars rated the FDP highly regarding preparation for teaching and incorporation of the material into their teaching and practice. Likewise, qualitative comments by the Faculty Scholars were strongly supportive of CHAMP:
Significantly more aware and confident in teaching around typical geriatric issues present in our patients.
Provided concrete, structured ideas about curriculum, learning goals, content materials and how to implement them.
The online teaching resources were something I used on an almost daily basis.
Wish we had this for outpatient.
CHAMP had a favorable impact on the Faculty Scholars across the domains of knowledge, attitudes, and perceived behavior change (Table 4). Significant differences on paired‐sample t tests found significant improvement on all but one measure (importance of teaching). After the CHAMP program, Faculty Scholars were more knowledgeable about geriatrics content (P = 0.023), had more positive attitudes to older patients (P = 0.049), and had greater confidence in their ability to care for older patients (P < 0.001) and teach geriatric medicine skills (P < 0.001) and Teaching on Today's Wards content (P < 0.001). There was a significant increase in the perceived importance of practicing the learned skills (P = 0.008) and Teaching on Today's Wards (P = 0.001). The increased importance of teaching geriatrics skills was marginally significant (P = 0.064).
Domain | N | Average Response | SE | P Value* | ||
---|---|---|---|---|---|---|
Pre‐CHAMP | Post‐CHAMP | |||||
| ||||||
Knowledge | Geriatric medicine knowledge test | 21 | 62.14 | 68.05 | 2.40 | 0.023 |
Attitudes | Geriatrics attitude scale | 26 | 56.86 | 58.38 | 0.736 | 0.049 |
Self‐report behavior change | Importance of practice | 28 | 4.40 | 4.62 | 0.078 | 0.008 |
Confidence in practice | 28 | 3.59 | 4.33 | 0.096 | <0.001 | |
Importance of teaching | 27 | 4.52 | 4.66 | 0.074 | 0.064 | |
Confidence in teaching | 27 | 3.42 | 4.47 | 0.112 | <0.001 | |
Importance of Teaching on Today's Wards∥ | 27 | 3.92 | 4.30 | 0.093 | 0.001 | |
Confidence in Teaching on Today's Wards∥ | 27 | 2.81 | 4.05 | 0.136 | <0.001 |
DISCUSSION
Central to CHAMP's design are (1) the creation of teaching materials and teaching resources that specifically address the challenges of teaching the care of the hospitalized older patient in busy hospital settings, (2) the provision of methods to reinforce the newly learned geriatrics teaching skills, and (3) a multidimensional evaluation scheme. The enthusiastic response to the CHAMP FDP and the evaluation results to date support the relevance and importance of CHAMP's focus, materials, and educational methods. The ideal outcome for our CHAMP FDP graduates is more informed, confident, and frequent teaching of geriatrics topics keyed to quality improvement and systems of care through a more streamlined but personalized bedside teaching process.13, 46 The CHAMP Faculty Scholar graduates' self‐report surveys of their performance and teaching of CHAMP course geriatrics skills did reveal a significant shift in clinical behavior, teaching, and confidence. Although the strongest indicator of perceived behavior change was in the enhanced self‐confidence in practicing and teaching, the significant changes in knowledge and attitude reinforce our observations of a shift in the mindset about teaching and caring for hospitalized elderly patients. This provides strong evidence for the efficacy of the CHAMP course in positively influencing participants.
Our biggest challenge with the CHAMP FDP was providing enough ongoing support to reinforce learning with an eye on the greater goal of changing teaching behaviors and clinical outcomes. After pilot testing, we added multiple types of support and follow‐up to the FDP: observed structured teaching exercises to practice CHAMP geriatrics content and teaching skills; modification of Teaching on Today's Wards through the addition of practice‐oriented exercises, games, and tutorials; frequent contact with our Faculty Scholar graduates post‐CHAMP FDP through CTC contracts; annual Faculty Scholars reunions; and continued access for the scholars to CHAMP materials on our Web site. Maintaining face‐to‐face contact between CHAMP core faculty and Faculty Scholars once the latter have finished the FDP has been challenging, largely because of clinical and teaching obligations over geographically separate sites. To overcome this, we are working to integrate CHAMP core faculty into hospitalist and general medicine section lecture series, increasing the frequency of CHAMP reunions, renewing CTC contracts with the Faculty Scholar graduates annually, and considering the concept of CHAMP core faculty guests attending during Faculty Scholars inpatient ward rounds.47
The CHAMP FDP and our evaluations to date have several limitations. First, FDP Scholars were volunteer participants who may have been more motivated to improve their geriatric care and teaching than nonparticipants. However, FDP Scholars had only moderate levels of geriatrics knowledge, attitudes, and confidence in their teaching on baseline testing and showed marked improvements in these domains after the FDP. In addition, Scholars' FDP participation was made possible by a reduction of other clinical obligations through direct reimbursement to their sections with CHAMP funds. Other incentives for CHAMP participation could include its focus on generalizable bedside teaching skills and provision of specific techniques for teaching the ACGME core competencies and quality improvement while using geriatrics content. Although the CHAMP FDP in its 48‐hour format is not sustainable or generalizable, the FDP modules and CHAMP materials were specifically designed to be usable in small pieces that could be incorporated into existing teaching structures, grand rounds, section meetings, teacher conferences, and continuing medical education workshops. CHAMP core group members have already presented and taught CHAMP components in many venues (see Dissemination on the CHAMP Web site). The excitement generated by CHAMP at national and specialty meetings, including multiple requests for materials, speaks to widespread interest in our CHAMP model. We are pursuing the creation of a mini‐CHAMP, an abbreviated FDP with an online component. These activities as well as feedback from users of CHAMP materials from the CHAMP Web site and the Portal of Geriatric Online Education will provide important opportunities for examining the use and acceptance of CHAMP outside our institution.
Another limitation of the CHAMP FDP is reliance on FDP Scholar self‐assessment in several of the evaluation components. Some studies have shown poor concordance between physicians' self‐assessment and external assessment over a range of domains.48 However, others have noted that despite these limitations, self‐assessment remains an essential tool for enabling physicians to discover the motivational discomfort of a performance gap, which may lead to changing concepts and mental models or changing work‐flow processes.49 Teaching on Today's Wards sessions in CHAMP emphasize self‐audit processes (such as process mapping and census audits) that can augment self‐assessment. We used such self‐audit processes in 1 small pilot study to date, providing summative and qualitative feedback to a group of FDP Scholars on their use of census audits.
However, the evaluation of the CHAMP FDP is enhanced by a yearly survey of all medical residents and medical students and by the linking of the teaching reported by residents and medical students to specific attendings. We have begun the analysis of resident perceptions of being taught CHAMP geriatrics topics by CHAMP faculty versus non‐CHAMP faculty. In addition, we are gathering data on patient‐level process of care and outcomes tied to the CHAMP FDP course session objectives by linking to the ongoing University of Chicago Hospitalist Project, a large clinical research project that enrolls general medicine inpatients in a study examining the quality of care and resource allocation for these patients.50 Because the ultimate goal of CHAMP is to improve the quality of care and outcomes for elderly hospitalized patients, the University of Chicago Hospitalist Project infrastructure was modified by the incorporation of the Vulnerable Elder Survey‐1351 and a process‐of‐care chart audit specifically based on the Assessing Care of the Vulnerable Elders Hospital Quality Indicators.52 Preliminary work included testing and validating these measures.53 Further evaluation of these clinical outcomes and CHAMP's efficacy and durability at the University of Chicago is ongoing and will be presented in future reports.
CONCLUSIONS
Through a collaboration of geriatricians, hospitalists, and general internists, the CHAMP FDP provides educational materials and methods keyed to bedside teaching in the fast‐paced world of the hospital. CHAMP improves faculty knowledge and attitudes and the frequency of teaching geriatrics topics and skills necessary to deliver quality care to the elderly hospitalized medical patient. Although the CHAMP FDP was developed and refined for use at a specific institution, the multitiered CHAMP FDP materials and methods have the potential for widespread use by multiple types of inpatient attendings for teaching the care of the older hospitalized medicine patient. Hospitalists in particular will require this expertise as both clinicians and teachers as their role, leadership, and influence continue to expand nationally.
Acknowledgements
The Curriculum for the Hospitalized Aging Medical Patient (CHAMP) Program was supported by funding from the Donald W. Reynolds Foundation with matching funds from the University of Chicago Department of Medicine, by the Hartford Foundation Geriatrics Center for Excellence, and by a Geriatric Academic Career Award to Don Scott. Presentations on CHAMP and its materials include a number of national and international meeting venues, including meetings of the Society of Hospital Medicine, the American Geriatrics Society, and the Association of Program Directors in Internal Medicine and the International Ottawa Conference.
APPENDIX
EXAMPLE OF A CHAMP POCKET CARD: FOLEY CATHETERS
CHAMP: Foley Catheters | CHAMP: Inability to Void | |
---|---|---|
| ||
Catherine DuBeau, MD, Geriatrics, University of Chicago | Catherine DuBeau, MD, Geriatrics, University of Chicago | |
1. Does this patient have a catheter? Incorporate regular catheter checks on rounds as a practice‐based learning and improvement exercise. | 1. Is there a medical reason for this patient's inability to void? | |
Two Basic Reasons | ||
2. Does this patient need a catheter? | Poor pump | |
Only Four Indications | ▪ Meds: anticholinergics, Ca++ blockers, narcotics | |
a. Inability to void | ▪ Sacral cord disease | |
b. Urinary incontinence and | ▪ Neuropathy: DM, B12 | |
▪ Open sacral or perineal wound | ▪ Constipation/emmpaction | |
▪ Palliative care | Blocked outlet | |
c. Urine output monitoring | ▪ Prostate disease | |
▪ Critical illnessfrequent/urgent monitoring needed | ▪ Suprasacral spinal cord disease (eg, MS) with detrusor‐sphincter dyssynergia | |
▪ Patient unable/unwilling to collect urine | ▪ Women: scarring, large cystocele | |
d. After general or spinal anesthesia | ▪ Constipation/emmpaction | |
3. Why should catheter use be minimized? | Evaluation of Inability To Void | |
a. Infection risk | ||
▪ Cause of 40% of nosocomial infections | Action Step | Possible Medical Reasons |
b. Morbidity | ||
▪ Internal catheters | ||
○Associated with delirium | Review meds | ‐Cholinergics, narcotics, calcium channel blockers, ‐agonists |
○Urethral and meatal injury | ||
○Bladder and renal stones | ||
○Fever | Review med Hx | Diabetes with neuropathy, sacral/subsacral cord, B12, GU surgery or radiation |
○Polymicrobial bacteruria | ||
▪ External (condom) catheters | ||
○Penile cellulitus/necrosis | Physical exam | Womenpelvic for prolapse; all‐sacral root S2‐4anal wink and bulbocavernosus reflexes |
○Urinary retention | ||
○Bacteruria and infection | ||
c. Foleys are uncomfortable/painful. | Postvoiding residual | This should have been done in the evaluation of the patient's inability to void and repeated after catheter removal with voiding trial. |
d. Foleys are restrictive falls and delirium. | ||
e. Cost |
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- Changing physician performance: a systematic review of the effect of continuing medical education strategies.J Am Med Assoc.1995;274:700–750. , , , .
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- Acute hospital care. In:Cassel C,Cohen HJ,Larson EB, et al., eds.Geriatric Medicine,4th ed.New York:Springer‐Verlag;2003. .
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- Importance of functional measures in predicting mortality among older hospitalized patients.JAMA.1998;279:1187–1193. , , , et al.
- Cognitive screening predicts magnitude of functional recovery from admission to 3 months after discharge in hospitalized elders.J Gerontol Med Sci.2003;58:37–45. , , , et al.
- Comprehensive discharge planning and home follow‐up of hospitalized elders: a randomized controlled trial.JAMA.1999;17:613–620. , , , et al.
- A randomized trial of care in a hospital medical unit especially designed to improve the functional outcomes of acutely ill older patients.N Engl J Med.1995;332:1338–1344. , , , et al.
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- Effects of a multicomponent intervention on functional outcomes and process of care in hospitalized older patients: a randomized controlled trial of acute care for the elders (ACE) in a community hospital.J Am Geriatr Soc.2000;48:1572–1581. , , , et al.
- The Joint Commission. Available at http://www.jcinc.com. Accessed April2008.
- A learner's needs assessment in geriatric medicine for hospitalists. Paper to be presented at: American Geriatrics Society Annual Meeting; May2004; Las Vegas, NV. , , , et al.
- Clarifying confusion: the confusion assessment method. A new method for detecting delirium.Ann Intern Med1990;113:941–948. , , , et al.
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- The vulnerable elders survey: a tool for identifying vulnerable older people in the community.J Am Geriatr Soc.2001;49:1691–1699. , , , et al.
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A crucial arena of innovative educational programs for the care of the elderly must include the hospital setting, a place of great cost, morbidity, and mortality for a population currently occupying approximately half of US hospital beds.1 With a marked acceleration in the number of persons living to an advanced age, there is a clear imperative to address the health‐care needs of the elderly, particularly the complex and frail.24 An educational grounding that steps beyond the traditional organ‐based models of disease to a much broader patient‐centered framework of care is necessary to aid physicians in advanced clinical decision‐making in the care of older patients. Organizing the medical care of the older patient within existing systems of care and a team care management network must also be improved.
Curricular materials and methods are widely available for teaching geriatric medicine,57 but most are geared toward outpatient care and management, with few addressing the care of the hospitalized, older medical patient.810 There is even less published on curricular materials, methods, and tools for such teaching outside of specialized hospital‐based geriatric units by nongeriatrics‐trained faculty.1113 Furthermore, the evaluation of geriatrics educational programs in the hospital setting has not been done with the ultimate assessment, the linking of educational programs to demonstrated changes in clinical practice and patient care outcomes.
To address these needs, we designed and implemented the Curriculum for the Hospitalized Aging Medical Patient (CHAMP) Faculty Development Program (FDP). CHAMP was funded by a grant from the Donald W. Reynolds Foundation Aging and Quality of Life Program with a matching commitment from the University of Chicago Department of Medicine. At the core of CHAMP are principles of care for the older patient in the hospital setting, with an emphasis on identifying and providing care for the complex and frail elderly with nongeriatrician inpatient medicine faculty as the primary teachers of these materials. The overall educational goals of the CHAMP FDP are the following: (1) to train hospitalists and general internists to recognize opportunities to teach geriatric medicine topics specific to the care of the hospitalized older patient; (2) to create teaching materials, tools, and methods that can be used in the busy medical inpatient setting at the bedside; (3) to create materials and tools that facilitate teaching the Accreditation Council for Graduate Medical Education (ACGME) core competencies14 during ward rounds; and (4) to increase the frequency and effectiveness with which this geriatrics content is taught in the hospital setting. This article describes the development and refinement of the CHAMP FDP and evaluation results to date.
METHODS
The CHAMP FDP was developed by a core group of geriatricians, hospitalists, general medicine faculty, and PhD educators from the Office of the Dean at the University of Chicago Pritzker School of Medicine. The core group piloted the FDP for themselves in spring 2004, and the FDP was offered to target learners annually from 2004 to 2006.
CHAMP Participants
The targeted faculty learners for the CHAMP FDP were hospitalists and general internists who attend on an inpatient medicine service for 1 to 4 months yearly. CHAMP Faculty Scholars were self‐selected from the eligible faculty of the University of Chicago. Approximately one‐third of the CHAMP Faculty Scholars held significant administrative and/or teaching positions in the Department of Medicine, residency program, or medical school. Overall, general internist and hospitalist faculty members of the University of Chicago are highly rated inpatient teachers with a 2004‐2007 average overall resident teaching rating of 3.79 (standard deviation = 0.53) on a scale of 1 to 4 (4 = outstanding). For each yearly cohort, we sought to train 8 to 10 Faculty Scholars. The Donald W. Reynolds Foundation grant funds supported the time of the Faculty Scholars to attend the CHAMP FDP 4 hours weekly for the 12 weeks of the course with release from a half‐day of outpatient clinical duties per week for the length of the FDP. Scholars also received continuing medical education credit for time spent in the FDP.
CHAMP Course Design, Structure, and Content
Design and Structure
The CHAMP FDP consists of twelve 4‐hour sessions given once weekly from September through November of each calendar year. Each session is composed of discrete teaching modules. During the first 2 hours of each session, 1 or 2 modules cover inpatient geriatric medicine content. The remaining 2 hours are devoted to modules consisting of the Stanford FDP for Medical Teachers: Improving Clinical Teaching (first 7 sessions)15, 16 and a course developed for the CHAMP FDP named Teaching on Today's Wards (remaining 5 sessions).
In addition to the overarching goals of the CHAMP FDP, each CHAMP module has specific learning objectives and an evaluation process based on the standard precepts of curriculum design.17 Further modifications of the CHAMP content and methods were strongly influenced by subsequent formal evaluative feedback on the course content, materials, and methods by the Faculty Scholars in each of the 4 FDP groups to date.
Geriatrics Content
The FDP geriatrics content and design model were developed as follows: reviewing existing published geriatrics curricular materials,5, 6, 8, 18 including high‐risk areas of geriatric hospital care;1922 drawing from the experience of the inpatient geriatric evaluation and treatment units;2325 and reviewing the Joint Commission mandates26 that have a particular impact on the care of the older hospitalized patients (eg, high‐risk medications, medication reconciliation, restraint use, and transitions of care). Final curricular materials were approved by consensus of the University of Chicago geriatrics/hospitalist core CHAMP faculty. A needs assessment surveying hospitalists at a regional Society of Hospital Medicine meeting showed a strong concordance between geriatrics topics that respondents thought they were least confident about in their knowledge, that they thought would be most useful to learn, and that we proposed for the core geriatrics topics for the CHAMP FDP, including pharmacy of aging, pressure ulcers, delirium, palliative care, decision‐making capacity, and dementia.27
Each geriatric topic is presented in 30‐ to 90‐minute teaching sessions with didactic lectures and case‐based discussions and is organized around 4 broad themes (Table 1). These lectures emphasize application of the content to bedside teaching during hospital medicine rounds. For example, the session on dementia focuses on assessing decision‐making capacity, the impact of dementia on the care of other medical illnesses and discharge decisions, dementia‐associated frailty with increased risk of hospitalization‐related adverse outcomes, and pain assessment in persons with dementia.
|
Theme 1: Identify the frail/vulnerable elder |
Identification and assessment of the vulnerable hospitalized older patient |
Dementia in hospitalized older medical patients: Recognition of and screening for dementia, assessment of medical decision‐making capacity, implications for the treatment of nondementia illness, pain assessment, and improvement of the posthospitalization transition of care |
Theme 2: Recognize and avoid hazards of hospitalization |
Delirium: Diagnosis, treatment, risk stratification, and prevention |
Falls: Assessment and prevention |
Foley catheters: Scope of the problem, appropriate indications, and management |
Deconditioning: Scope of the problem and prevention |
Adverse drug reactions and medication errors: Principles of drug review |
Pressure ulcers: Assessment, treatment, and prevention |
Theme 3: Palliate and address end‐of‐life issues |
Pain control: General principles and use of opiates |
Symptom management in advanced disease: Nausea |
Difficult conversations and advance directives |
Hospice and palliative care and changing goals of care |
Theme 4: Improve transitions of care |
The ideal hospital discharge: Core components and determining destination |
Destinations of posthospital care: Nursing homes for skilled rehabilitation and long‐term care |
The CHAMP materials created for teaching each topic at the bedside included topic‐specific teaching triggers, clinical teaching questions, and summary teaching points. The bedside teaching materials and other teaching tools, such as pocket cards with teaching triggers and clinical content (see the example in the appendix), commonly used geriatric measures (eg, the Confusion Assessment Method for delirium),28 and sample forms for teaching aspects of practice‐based learning and improvement and systems‐based practice, were available to Faculty Scholars electronically on the University of Chicago Course Management System (the CHALK E‐learning Web site). The CHAMP materials are now published at the University of Chicago Web site (
Teaching Content
The material referring to the process of teaching has been organized under 4 components in the CHAMP FDP.
The Stanford FDP for Medical Teachers15, 16
This established teaching skills course uses case scenarios and practice sessions to hone skills in key elements of teaching: learning climate, control of session, communication of goals, promotion of understanding and retention, evaluation, feedback, and promotion of self‐directed learning. This portion of the FDP was taught by a University of Chicago General Medicine faculty member trained and certified to teach the course at Stanford.
Teaching on Today's Wards
The Teaching on Today's Wards component was developed specifically for CHAMP to address the following: (1) to improve bedside teaching in the specific setting of the inpatient wards; (2) to increase the amount of geriatric medicine content taught by nongeriatrics faculty during bedside rounds; and (3) to teach the specific ACGME core competencies of professionalism, communication, practice‐based learning and improvement, and systems‐based practice during ward rounds (Table 2).
ACGME Core Competency | Addressed in CHAMP Curriculum |
---|---|
| |
Knowledge/patient care | All geriatric lectures (see Table 1) |
Professionalism | Geriatric lectures |
1. Advance directives and difficult conversations | |
2. Dementia: Decision‐making capacity | |
Teaching on Today's Wards exercises and games | |
1. Process mapping | |
2. I Hope I Get a Good Team game | |
3. Deciding What To Teach/Missed Teaching Opportunities game | |
Communication | Geriatric lectures |
1. Advance directives and difficult conversations | |
2. Dementia: Decision‐making capacity | |
3. Destinations for posthospital care: Nursing homes | |
Teaching on Today's Wards exercises and games | |
1. Process mapping | |
2. Deciding What To Teach/Missed Teaching Opportunities game | |
Systems‐based practice | Geriatric lectures |
1. Frailty: Screening | |
2. Delirium: Screening and prevention | |
3. Deconditioning: Prevention | |
4. Falls: Prevention | |
5. Pressure ulcers: Prevention | |
6. Drugs and aging: Drug review | |
7. Foley catheter: Indications for use | |
8. Ideal hospital discharge | |
Teaching on Today's Wards exercises and games | |
1. Process mapping | |
2. Deciding What To Teach/Missed Teaching Opportunities game | |
3. Quality improvement projects | |
Practice‐based learning and improvement | Teaching on Today's Wards exercises and games |
1. Case audit | |
2. Census audit | |
3. Process mapping |
Session one of Teaching on Today's Wards takes the Faculty Scholars through an exploration of their teaching process on a postcall day using process mapping.29, 30 This technique, similar to constructing a flow chart, involves outlining the series of steps involved in one's actual (not ideal) process of postcall teaching. Faculty Scholars then explore how to recognize opportunities and add geriatric topics and the ACGME core competencies to their teaching on the basis of their own teaching process, skill sets, and clinical experience.
Session two explores goal setting, team dynamics, and the incorporation of more geriatrics teaching into the Faculty Scholar's teaching agenda through a series of interactive card game exercises facilitated in small group discussion. Card game 1, I Hope I Get a Good Team, allows learners to practice goal setting for their inpatient team using a hypothetical game card team based on the learning level, individuals' strengths and weaknesses, and individuals' roles in the team hierarchy. Card game 2, Deciding What To Teach/Missed Opportunities, helps learners develop a teaching agenda on any set of patients that incorporates the CHAMP geriatric topics and the ACGME core competencies.
Sessions three and four teach learners about the systems‐based practice and practice‐based learning and improvement competencies, including an introduction to quality improvement. These interactive sessions introduce Faculty Scholars to the plan‐do‐study‐act method,31 using the example of census and case audits32 to provide an objective and structured method of assessing care. These audits provide a structure for the medical team to review its actual care and management practices and for faculty to teach quality improvement. Examples of census audits developed by CHAMP faculty, including deep venous thrombosis prophylaxis, Foley catheter use, and use of proton pump inhibitors, provide models for the faculty learners to create their own audits.
The fifth session focuses on developing skills for life‐long learning. Based on previous work on medical education and evidence‐based medicine,33, 34 these sessions provide learners with a framework to identify and address knowledge gaps, obtain effective consultation, ask pertinent questions of learners, and self‐assess their teaching skills.
Observed Structured Teaching Exercises
Observed structured teaching exercises allow the deliberate practice of teaching new curricular materials and skills and have been shown to improve teaching skills for both faculty and resident teachers using standardized students in a simulated teaching environment.3537 The observed structured teaching exercises developed for CHAMP allow the Faculty Scholars to practice teaching geriatrics content using the one‐minute preceptor teaching method.38
Commitment to Change (CTC) Contracts
CTC contracts provide a method for sustaining CHAMP teaching. At the end of the FDP, we ask Faculty Scholars to sign a CTC contract,39, 40 selecting at least 1 geriatric topic and 1 topic from Teaching on Today's Wards to teach in future inpatient teaching attending months. Over the year(s) following the FDP, the CHAMP project director frequently contacts the Faculty Scholars via e‐mail and phone interviews before, during, and after each month of inpatient service. The CTC contract is formally reviewed and revised annually with each CHAMP Faculty Scholar by the CHAMP project director and a core CHAMP faculty member.
Evaluation
A comprehensive multilevel evaluation scheme was developed based on the work of Kirkpatrick,41 including participant experience and teaching and subsequent clinical outcomes. This article reports only on the knowledge, attitudes, and behavioral self‐report data collected from participants, and remaining data will be presented in future articles.
The evaluation of the FDP program includes many commonly used methods for evaluating faculty learners, including recollection and retention of course content and self‐reported behavioral changes regarding the incorporation of the material into clinical teaching and practice. The more proximal evaluation includes precourse and postcourse performance on a previously validated geriatric medicine knowledge test,4244 precourse and postcourse performance on a validated survey of attitudes regarding older persons and geriatric medicine,45 a self‐assessment survey measuring self‐reported importance of and confidence in practicing and teaching geriatric skills, and Faculty Scholars' reports of subsequent frequency of teaching on the geriatric medicine and Teaching on Today's Wards content.
Faculty Scholars' feedback regarding their reaction to and satisfaction with the CHAMP FDP includes immediate postsession evaluations of each individual CHAMP FDP session and its content.
Analyses
We calculated the overall satisfaction of the FDP by aggregating evaluations for all session modules across the 4 cohorts. Satisfaction was measured with 6 questions, which included an overall satisfaction question and were answered with 5‐point Likert scales.
Pre‐CHAMP and post‐CHAMP scores on the geriatrics knowledge test and geriatrics attitude scale were calculated for each participant and compared with paired‐sample t tests. Composite scores for the self‐reported behavior for importance of/confidence in practice and importance of/confidence in teaching were calculated for each set of responses from each participant. The average scores across all 14 geriatrics content items for importance of/confidence in practice and importance of/confidence in teaching were calculated pre‐CHAMP and post‐CHAMP and compared with a paired‐sample t test. Similarly, self‐reported behavior ratings of importance of/confidence in teaching were calculated by the averaging of responses across the 10 Teaching on Today's Wards items. Pre‐CHAMP and post‐CHAMP average scores were compared with paired‐sample t tests on SPSS version 14 (SPSS, Chicago, IL). Data from the pilot sessions were included in the analyses to provide adequate power.
RESULTS
We pilot‐tested the format, materials, methods, and evaluation components of the CHAMP FDP with the CHAMP core faculty in the spring of 2004. The revised CHAMP FDP was given in the fall of 2004 to the first group of 8 faculty learners. Similar annual CHAMP FDPs have occurred since 2004, with a total of 29 Faculty Scholars by 2006. This includes approximately half of the University of Chicago general medicine faculty and the majority of the hospitalist faculty. Geriatrics fellows, a medicine chief resident, and other internal medicine subspecialists have also taken the CHAMP FDP. The average evaluations of all CHAMP sessions by all participants are shown in Table 3.
Rating Criteria* | Average (SD) | N |
---|---|---|
| ||
Teaching methods were appropriate for the content covered. | 4.5 0.8 | 571 |
The module made an important contribution to my practice. | 4.4 0.9 | 566 |
Supplemental materials were effectively used to enhance learning. | 4.0 1.6 | 433 |
I feel prepared to teach the material covered in this module. | 4.1 1.0 | 567 |
I feel prepared to incorporate this material into my practice. | 4.4 0.8 | 569 |
Overall, this was a valuable educational experience. | 4.5 0.8 | 565 |
Faculty Scholars rated the FDP highly regarding preparation for teaching and incorporation of the material into their teaching and practice. Likewise, qualitative comments by the Faculty Scholars were strongly supportive of CHAMP:
Significantly more aware and confident in teaching around typical geriatric issues present in our patients.
Provided concrete, structured ideas about curriculum, learning goals, content materials and how to implement them.
The online teaching resources were something I used on an almost daily basis.
Wish we had this for outpatient.
CHAMP had a favorable impact on the Faculty Scholars across the domains of knowledge, attitudes, and perceived behavior change (Table 4). Significant differences on paired‐sample t tests found significant improvement on all but one measure (importance of teaching). After the CHAMP program, Faculty Scholars were more knowledgeable about geriatrics content (P = 0.023), had more positive attitudes to older patients (P = 0.049), and had greater confidence in their ability to care for older patients (P < 0.001) and teach geriatric medicine skills (P < 0.001) and Teaching on Today's Wards content (P < 0.001). There was a significant increase in the perceived importance of practicing the learned skills (P = 0.008) and Teaching on Today's Wards (P = 0.001). The increased importance of teaching geriatrics skills was marginally significant (P = 0.064).
Domain | N | Average Response | SE | P Value* | ||
---|---|---|---|---|---|---|
Pre‐CHAMP | Post‐CHAMP | |||||
| ||||||
Knowledge | Geriatric medicine knowledge test | 21 | 62.14 | 68.05 | 2.40 | 0.023 |
Attitudes | Geriatrics attitude scale | 26 | 56.86 | 58.38 | 0.736 | 0.049 |
Self‐report behavior change | Importance of practice | 28 | 4.40 | 4.62 | 0.078 | 0.008 |
Confidence in practice | 28 | 3.59 | 4.33 | 0.096 | <0.001 | |
Importance of teaching | 27 | 4.52 | 4.66 | 0.074 | 0.064 | |
Confidence in teaching | 27 | 3.42 | 4.47 | 0.112 | <0.001 | |
Importance of Teaching on Today's Wards∥ | 27 | 3.92 | 4.30 | 0.093 | 0.001 | |
Confidence in Teaching on Today's Wards∥ | 27 | 2.81 | 4.05 | 0.136 | <0.001 |
DISCUSSION
Central to CHAMP's design are (1) the creation of teaching materials and teaching resources that specifically address the challenges of teaching the care of the hospitalized older patient in busy hospital settings, (2) the provision of methods to reinforce the newly learned geriatrics teaching skills, and (3) a multidimensional evaluation scheme. The enthusiastic response to the CHAMP FDP and the evaluation results to date support the relevance and importance of CHAMP's focus, materials, and educational methods. The ideal outcome for our CHAMP FDP graduates is more informed, confident, and frequent teaching of geriatrics topics keyed to quality improvement and systems of care through a more streamlined but personalized bedside teaching process.13, 46 The CHAMP Faculty Scholar graduates' self‐report surveys of their performance and teaching of CHAMP course geriatrics skills did reveal a significant shift in clinical behavior, teaching, and confidence. Although the strongest indicator of perceived behavior change was in the enhanced self‐confidence in practicing and teaching, the significant changes in knowledge and attitude reinforce our observations of a shift in the mindset about teaching and caring for hospitalized elderly patients. This provides strong evidence for the efficacy of the CHAMP course in positively influencing participants.
Our biggest challenge with the CHAMP FDP was providing enough ongoing support to reinforce learning with an eye on the greater goal of changing teaching behaviors and clinical outcomes. After pilot testing, we added multiple types of support and follow‐up to the FDP: observed structured teaching exercises to practice CHAMP geriatrics content and teaching skills; modification of Teaching on Today's Wards through the addition of practice‐oriented exercises, games, and tutorials; frequent contact with our Faculty Scholar graduates post‐CHAMP FDP through CTC contracts; annual Faculty Scholars reunions; and continued access for the scholars to CHAMP materials on our Web site. Maintaining face‐to‐face contact between CHAMP core faculty and Faculty Scholars once the latter have finished the FDP has been challenging, largely because of clinical and teaching obligations over geographically separate sites. To overcome this, we are working to integrate CHAMP core faculty into hospitalist and general medicine section lecture series, increasing the frequency of CHAMP reunions, renewing CTC contracts with the Faculty Scholar graduates annually, and considering the concept of CHAMP core faculty guests attending during Faculty Scholars inpatient ward rounds.47
The CHAMP FDP and our evaluations to date have several limitations. First, FDP Scholars were volunteer participants who may have been more motivated to improve their geriatric care and teaching than nonparticipants. However, FDP Scholars had only moderate levels of geriatrics knowledge, attitudes, and confidence in their teaching on baseline testing and showed marked improvements in these domains after the FDP. In addition, Scholars' FDP participation was made possible by a reduction of other clinical obligations through direct reimbursement to their sections with CHAMP funds. Other incentives for CHAMP participation could include its focus on generalizable bedside teaching skills and provision of specific techniques for teaching the ACGME core competencies and quality improvement while using geriatrics content. Although the CHAMP FDP in its 48‐hour format is not sustainable or generalizable, the FDP modules and CHAMP materials were specifically designed to be usable in small pieces that could be incorporated into existing teaching structures, grand rounds, section meetings, teacher conferences, and continuing medical education workshops. CHAMP core group members have already presented and taught CHAMP components in many venues (see Dissemination on the CHAMP Web site). The excitement generated by CHAMP at national and specialty meetings, including multiple requests for materials, speaks to widespread interest in our CHAMP model. We are pursuing the creation of a mini‐CHAMP, an abbreviated FDP with an online component. These activities as well as feedback from users of CHAMP materials from the CHAMP Web site and the Portal of Geriatric Online Education will provide important opportunities for examining the use and acceptance of CHAMP outside our institution.
Another limitation of the CHAMP FDP is reliance on FDP Scholar self‐assessment in several of the evaluation components. Some studies have shown poor concordance between physicians' self‐assessment and external assessment over a range of domains.48 However, others have noted that despite these limitations, self‐assessment remains an essential tool for enabling physicians to discover the motivational discomfort of a performance gap, which may lead to changing concepts and mental models or changing work‐flow processes.49 Teaching on Today's Wards sessions in CHAMP emphasize self‐audit processes (such as process mapping and census audits) that can augment self‐assessment. We used such self‐audit processes in 1 small pilot study to date, providing summative and qualitative feedback to a group of FDP Scholars on their use of census audits.
However, the evaluation of the CHAMP FDP is enhanced by a yearly survey of all medical residents and medical students and by the linking of the teaching reported by residents and medical students to specific attendings. We have begun the analysis of resident perceptions of being taught CHAMP geriatrics topics by CHAMP faculty versus non‐CHAMP faculty. In addition, we are gathering data on patient‐level process of care and outcomes tied to the CHAMP FDP course session objectives by linking to the ongoing University of Chicago Hospitalist Project, a large clinical research project that enrolls general medicine inpatients in a study examining the quality of care and resource allocation for these patients.50 Because the ultimate goal of CHAMP is to improve the quality of care and outcomes for elderly hospitalized patients, the University of Chicago Hospitalist Project infrastructure was modified by the incorporation of the Vulnerable Elder Survey‐1351 and a process‐of‐care chart audit specifically based on the Assessing Care of the Vulnerable Elders Hospital Quality Indicators.52 Preliminary work included testing and validating these measures.53 Further evaluation of these clinical outcomes and CHAMP's efficacy and durability at the University of Chicago is ongoing and will be presented in future reports.
CONCLUSIONS
Through a collaboration of geriatricians, hospitalists, and general internists, the CHAMP FDP provides educational materials and methods keyed to bedside teaching in the fast‐paced world of the hospital. CHAMP improves faculty knowledge and attitudes and the frequency of teaching geriatrics topics and skills necessary to deliver quality care to the elderly hospitalized medical patient. Although the CHAMP FDP was developed and refined for use at a specific institution, the multitiered CHAMP FDP materials and methods have the potential for widespread use by multiple types of inpatient attendings for teaching the care of the older hospitalized medicine patient. Hospitalists in particular will require this expertise as both clinicians and teachers as their role, leadership, and influence continue to expand nationally.
Acknowledgements
The Curriculum for the Hospitalized Aging Medical Patient (CHAMP) Program was supported by funding from the Donald W. Reynolds Foundation with matching funds from the University of Chicago Department of Medicine, by the Hartford Foundation Geriatrics Center for Excellence, and by a Geriatric Academic Career Award to Don Scott. Presentations on CHAMP and its materials include a number of national and international meeting venues, including meetings of the Society of Hospital Medicine, the American Geriatrics Society, and the Association of Program Directors in Internal Medicine and the International Ottawa Conference.
APPENDIX
EXAMPLE OF A CHAMP POCKET CARD: FOLEY CATHETERS
CHAMP: Foley Catheters | CHAMP: Inability to Void | |
---|---|---|
| ||
Catherine DuBeau, MD, Geriatrics, University of Chicago | Catherine DuBeau, MD, Geriatrics, University of Chicago | |
1. Does this patient have a catheter? Incorporate regular catheter checks on rounds as a practice‐based learning and improvement exercise. | 1. Is there a medical reason for this patient's inability to void? | |
Two Basic Reasons | ||
2. Does this patient need a catheter? | Poor pump | |
Only Four Indications | ▪ Meds: anticholinergics, Ca++ blockers, narcotics | |
a. Inability to void | ▪ Sacral cord disease | |
b. Urinary incontinence and | ▪ Neuropathy: DM, B12 | |
▪ Open sacral or perineal wound | ▪ Constipation/emmpaction | |
▪ Palliative care | Blocked outlet | |
c. Urine output monitoring | ▪ Prostate disease | |
▪ Critical illnessfrequent/urgent monitoring needed | ▪ Suprasacral spinal cord disease (eg, MS) with detrusor‐sphincter dyssynergia | |
▪ Patient unable/unwilling to collect urine | ▪ Women: scarring, large cystocele | |
d. After general or spinal anesthesia | ▪ Constipation/emmpaction | |
3. Why should catheter use be minimized? | Evaluation of Inability To Void | |
a. Infection risk | ||
▪ Cause of 40% of nosocomial infections | Action Step | Possible Medical Reasons |
b. Morbidity | ||
▪ Internal catheters | ||
○Associated with delirium | Review meds | ‐Cholinergics, narcotics, calcium channel blockers, ‐agonists |
○Urethral and meatal injury | ||
○Bladder and renal stones | ||
○Fever | Review med Hx | Diabetes with neuropathy, sacral/subsacral cord, B12, GU surgery or radiation |
○Polymicrobial bacteruria | ||
▪ External (condom) catheters | ||
○Penile cellulitus/necrosis | Physical exam | Womenpelvic for prolapse; all‐sacral root S2‐4anal wink and bulbocavernosus reflexes |
○Urinary retention | ||
○Bacteruria and infection | ||
c. Foleys are uncomfortable/painful. | Postvoiding residual | This should have been done in the evaluation of the patient's inability to void and repeated after catheter removal with voiding trial. |
d. Foleys are restrictive falls and delirium. | ||
e. Cost |
A crucial arena of innovative educational programs for the care of the elderly must include the hospital setting, a place of great cost, morbidity, and mortality for a population currently occupying approximately half of US hospital beds.1 With a marked acceleration in the number of persons living to an advanced age, there is a clear imperative to address the health‐care needs of the elderly, particularly the complex and frail.24 An educational grounding that steps beyond the traditional organ‐based models of disease to a much broader patient‐centered framework of care is necessary to aid physicians in advanced clinical decision‐making in the care of older patients. Organizing the medical care of the older patient within existing systems of care and a team care management network must also be improved.
Curricular materials and methods are widely available for teaching geriatric medicine,57 but most are geared toward outpatient care and management, with few addressing the care of the hospitalized, older medical patient.810 There is even less published on curricular materials, methods, and tools for such teaching outside of specialized hospital‐based geriatric units by nongeriatrics‐trained faculty.1113 Furthermore, the evaluation of geriatrics educational programs in the hospital setting has not been done with the ultimate assessment, the linking of educational programs to demonstrated changes in clinical practice and patient care outcomes.
To address these needs, we designed and implemented the Curriculum for the Hospitalized Aging Medical Patient (CHAMP) Faculty Development Program (FDP). CHAMP was funded by a grant from the Donald W. Reynolds Foundation Aging and Quality of Life Program with a matching commitment from the University of Chicago Department of Medicine. At the core of CHAMP are principles of care for the older patient in the hospital setting, with an emphasis on identifying and providing care for the complex and frail elderly with nongeriatrician inpatient medicine faculty as the primary teachers of these materials. The overall educational goals of the CHAMP FDP are the following: (1) to train hospitalists and general internists to recognize opportunities to teach geriatric medicine topics specific to the care of the hospitalized older patient; (2) to create teaching materials, tools, and methods that can be used in the busy medical inpatient setting at the bedside; (3) to create materials and tools that facilitate teaching the Accreditation Council for Graduate Medical Education (ACGME) core competencies14 during ward rounds; and (4) to increase the frequency and effectiveness with which this geriatrics content is taught in the hospital setting. This article describes the development and refinement of the CHAMP FDP and evaluation results to date.
METHODS
The CHAMP FDP was developed by a core group of geriatricians, hospitalists, general medicine faculty, and PhD educators from the Office of the Dean at the University of Chicago Pritzker School of Medicine. The core group piloted the FDP for themselves in spring 2004, and the FDP was offered to target learners annually from 2004 to 2006.
CHAMP Participants
The targeted faculty learners for the CHAMP FDP were hospitalists and general internists who attend on an inpatient medicine service for 1 to 4 months yearly. CHAMP Faculty Scholars were self‐selected from the eligible faculty of the University of Chicago. Approximately one‐third of the CHAMP Faculty Scholars held significant administrative and/or teaching positions in the Department of Medicine, residency program, or medical school. Overall, general internist and hospitalist faculty members of the University of Chicago are highly rated inpatient teachers with a 2004‐2007 average overall resident teaching rating of 3.79 (standard deviation = 0.53) on a scale of 1 to 4 (4 = outstanding). For each yearly cohort, we sought to train 8 to 10 Faculty Scholars. The Donald W. Reynolds Foundation grant funds supported the time of the Faculty Scholars to attend the CHAMP FDP 4 hours weekly for the 12 weeks of the course with release from a half‐day of outpatient clinical duties per week for the length of the FDP. Scholars also received continuing medical education credit for time spent in the FDP.
CHAMP Course Design, Structure, and Content
Design and Structure
The CHAMP FDP consists of twelve 4‐hour sessions given once weekly from September through November of each calendar year. Each session is composed of discrete teaching modules. During the first 2 hours of each session, 1 or 2 modules cover inpatient geriatric medicine content. The remaining 2 hours are devoted to modules consisting of the Stanford FDP for Medical Teachers: Improving Clinical Teaching (first 7 sessions)15, 16 and a course developed for the CHAMP FDP named Teaching on Today's Wards (remaining 5 sessions).
In addition to the overarching goals of the CHAMP FDP, each CHAMP module has specific learning objectives and an evaluation process based on the standard precepts of curriculum design.17 Further modifications of the CHAMP content and methods were strongly influenced by subsequent formal evaluative feedback on the course content, materials, and methods by the Faculty Scholars in each of the 4 FDP groups to date.
Geriatrics Content
The FDP geriatrics content and design model were developed as follows: reviewing existing published geriatrics curricular materials,5, 6, 8, 18 including high‐risk areas of geriatric hospital care;1922 drawing from the experience of the inpatient geriatric evaluation and treatment units;2325 and reviewing the Joint Commission mandates26 that have a particular impact on the care of the older hospitalized patients (eg, high‐risk medications, medication reconciliation, restraint use, and transitions of care). Final curricular materials were approved by consensus of the University of Chicago geriatrics/hospitalist core CHAMP faculty. A needs assessment surveying hospitalists at a regional Society of Hospital Medicine meeting showed a strong concordance between geriatrics topics that respondents thought they were least confident about in their knowledge, that they thought would be most useful to learn, and that we proposed for the core geriatrics topics for the CHAMP FDP, including pharmacy of aging, pressure ulcers, delirium, palliative care, decision‐making capacity, and dementia.27
Each geriatric topic is presented in 30‐ to 90‐minute teaching sessions with didactic lectures and case‐based discussions and is organized around 4 broad themes (Table 1). These lectures emphasize application of the content to bedside teaching during hospital medicine rounds. For example, the session on dementia focuses on assessing decision‐making capacity, the impact of dementia on the care of other medical illnesses and discharge decisions, dementia‐associated frailty with increased risk of hospitalization‐related adverse outcomes, and pain assessment in persons with dementia.
|
Theme 1: Identify the frail/vulnerable elder |
Identification and assessment of the vulnerable hospitalized older patient |
Dementia in hospitalized older medical patients: Recognition of and screening for dementia, assessment of medical decision‐making capacity, implications for the treatment of nondementia illness, pain assessment, and improvement of the posthospitalization transition of care |
Theme 2: Recognize and avoid hazards of hospitalization |
Delirium: Diagnosis, treatment, risk stratification, and prevention |
Falls: Assessment and prevention |
Foley catheters: Scope of the problem, appropriate indications, and management |
Deconditioning: Scope of the problem and prevention |
Adverse drug reactions and medication errors: Principles of drug review |
Pressure ulcers: Assessment, treatment, and prevention |
Theme 3: Palliate and address end‐of‐life issues |
Pain control: General principles and use of opiates |
Symptom management in advanced disease: Nausea |
Difficult conversations and advance directives |
Hospice and palliative care and changing goals of care |
Theme 4: Improve transitions of care |
The ideal hospital discharge: Core components and determining destination |
Destinations of posthospital care: Nursing homes for skilled rehabilitation and long‐term care |
The CHAMP materials created for teaching each topic at the bedside included topic‐specific teaching triggers, clinical teaching questions, and summary teaching points. The bedside teaching materials and other teaching tools, such as pocket cards with teaching triggers and clinical content (see the example in the appendix), commonly used geriatric measures (eg, the Confusion Assessment Method for delirium),28 and sample forms for teaching aspects of practice‐based learning and improvement and systems‐based practice, were available to Faculty Scholars electronically on the University of Chicago Course Management System (the CHALK E‐learning Web site). The CHAMP materials are now published at the University of Chicago Web site (
Teaching Content
The material referring to the process of teaching has been organized under 4 components in the CHAMP FDP.
The Stanford FDP for Medical Teachers15, 16
This established teaching skills course uses case scenarios and practice sessions to hone skills in key elements of teaching: learning climate, control of session, communication of goals, promotion of understanding and retention, evaluation, feedback, and promotion of self‐directed learning. This portion of the FDP was taught by a University of Chicago General Medicine faculty member trained and certified to teach the course at Stanford.
Teaching on Today's Wards
The Teaching on Today's Wards component was developed specifically for CHAMP to address the following: (1) to improve bedside teaching in the specific setting of the inpatient wards; (2) to increase the amount of geriatric medicine content taught by nongeriatrics faculty during bedside rounds; and (3) to teach the specific ACGME core competencies of professionalism, communication, practice‐based learning and improvement, and systems‐based practice during ward rounds (Table 2).
ACGME Core Competency | Addressed in CHAMP Curriculum |
---|---|
| |
Knowledge/patient care | All geriatric lectures (see Table 1) |
Professionalism | Geriatric lectures |
1. Advance directives and difficult conversations | |
2. Dementia: Decision‐making capacity | |
Teaching on Today's Wards exercises and games | |
1. Process mapping | |
2. I Hope I Get a Good Team game | |
3. Deciding What To Teach/Missed Teaching Opportunities game | |
Communication | Geriatric lectures |
1. Advance directives and difficult conversations | |
2. Dementia: Decision‐making capacity | |
3. Destinations for posthospital care: Nursing homes | |
Teaching on Today's Wards exercises and games | |
1. Process mapping | |
2. Deciding What To Teach/Missed Teaching Opportunities game | |
Systems‐based practice | Geriatric lectures |
1. Frailty: Screening | |
2. Delirium: Screening and prevention | |
3. Deconditioning: Prevention | |
4. Falls: Prevention | |
5. Pressure ulcers: Prevention | |
6. Drugs and aging: Drug review | |
7. Foley catheter: Indications for use | |
8. Ideal hospital discharge | |
Teaching on Today's Wards exercises and games | |
1. Process mapping | |
2. Deciding What To Teach/Missed Teaching Opportunities game | |
3. Quality improvement projects | |
Practice‐based learning and improvement | Teaching on Today's Wards exercises and games |
1. Case audit | |
2. Census audit | |
3. Process mapping |
Session one of Teaching on Today's Wards takes the Faculty Scholars through an exploration of their teaching process on a postcall day using process mapping.29, 30 This technique, similar to constructing a flow chart, involves outlining the series of steps involved in one's actual (not ideal) process of postcall teaching. Faculty Scholars then explore how to recognize opportunities and add geriatric topics and the ACGME core competencies to their teaching on the basis of their own teaching process, skill sets, and clinical experience.
Session two explores goal setting, team dynamics, and the incorporation of more geriatrics teaching into the Faculty Scholar's teaching agenda through a series of interactive card game exercises facilitated in small group discussion. Card game 1, I Hope I Get a Good Team, allows learners to practice goal setting for their inpatient team using a hypothetical game card team based on the learning level, individuals' strengths and weaknesses, and individuals' roles in the team hierarchy. Card game 2, Deciding What To Teach/Missed Opportunities, helps learners develop a teaching agenda on any set of patients that incorporates the CHAMP geriatric topics and the ACGME core competencies.
Sessions three and four teach learners about the systems‐based practice and practice‐based learning and improvement competencies, including an introduction to quality improvement. These interactive sessions introduce Faculty Scholars to the plan‐do‐study‐act method,31 using the example of census and case audits32 to provide an objective and structured method of assessing care. These audits provide a structure for the medical team to review its actual care and management practices and for faculty to teach quality improvement. Examples of census audits developed by CHAMP faculty, including deep venous thrombosis prophylaxis, Foley catheter use, and use of proton pump inhibitors, provide models for the faculty learners to create their own audits.
The fifth session focuses on developing skills for life‐long learning. Based on previous work on medical education and evidence‐based medicine,33, 34 these sessions provide learners with a framework to identify and address knowledge gaps, obtain effective consultation, ask pertinent questions of learners, and self‐assess their teaching skills.
Observed Structured Teaching Exercises
Observed structured teaching exercises allow the deliberate practice of teaching new curricular materials and skills and have been shown to improve teaching skills for both faculty and resident teachers using standardized students in a simulated teaching environment.3537 The observed structured teaching exercises developed for CHAMP allow the Faculty Scholars to practice teaching geriatrics content using the one‐minute preceptor teaching method.38
Commitment to Change (CTC) Contracts
CTC contracts provide a method for sustaining CHAMP teaching. At the end of the FDP, we ask Faculty Scholars to sign a CTC contract,39, 40 selecting at least 1 geriatric topic and 1 topic from Teaching on Today's Wards to teach in future inpatient teaching attending months. Over the year(s) following the FDP, the CHAMP project director frequently contacts the Faculty Scholars via e‐mail and phone interviews before, during, and after each month of inpatient service. The CTC contract is formally reviewed and revised annually with each CHAMP Faculty Scholar by the CHAMP project director and a core CHAMP faculty member.
Evaluation
A comprehensive multilevel evaluation scheme was developed based on the work of Kirkpatrick,41 including participant experience and teaching and subsequent clinical outcomes. This article reports only on the knowledge, attitudes, and behavioral self‐report data collected from participants, and remaining data will be presented in future articles.
The evaluation of the FDP program includes many commonly used methods for evaluating faculty learners, including recollection and retention of course content and self‐reported behavioral changes regarding the incorporation of the material into clinical teaching and practice. The more proximal evaluation includes precourse and postcourse performance on a previously validated geriatric medicine knowledge test,4244 precourse and postcourse performance on a validated survey of attitudes regarding older persons and geriatric medicine,45 a self‐assessment survey measuring self‐reported importance of and confidence in practicing and teaching geriatric skills, and Faculty Scholars' reports of subsequent frequency of teaching on the geriatric medicine and Teaching on Today's Wards content.
Faculty Scholars' feedback regarding their reaction to and satisfaction with the CHAMP FDP includes immediate postsession evaluations of each individual CHAMP FDP session and its content.
Analyses
We calculated the overall satisfaction of the FDP by aggregating evaluations for all session modules across the 4 cohorts. Satisfaction was measured with 6 questions, which included an overall satisfaction question and were answered with 5‐point Likert scales.
Pre‐CHAMP and post‐CHAMP scores on the geriatrics knowledge test and geriatrics attitude scale were calculated for each participant and compared with paired‐sample t tests. Composite scores for the self‐reported behavior for importance of/confidence in practice and importance of/confidence in teaching were calculated for each set of responses from each participant. The average scores across all 14 geriatrics content items for importance of/confidence in practice and importance of/confidence in teaching were calculated pre‐CHAMP and post‐CHAMP and compared with a paired‐sample t test. Similarly, self‐reported behavior ratings of importance of/confidence in teaching were calculated by the averaging of responses across the 10 Teaching on Today's Wards items. Pre‐CHAMP and post‐CHAMP average scores were compared with paired‐sample t tests on SPSS version 14 (SPSS, Chicago, IL). Data from the pilot sessions were included in the analyses to provide adequate power.
RESULTS
We pilot‐tested the format, materials, methods, and evaluation components of the CHAMP FDP with the CHAMP core faculty in the spring of 2004. The revised CHAMP FDP was given in the fall of 2004 to the first group of 8 faculty learners. Similar annual CHAMP FDPs have occurred since 2004, with a total of 29 Faculty Scholars by 2006. This includes approximately half of the University of Chicago general medicine faculty and the majority of the hospitalist faculty. Geriatrics fellows, a medicine chief resident, and other internal medicine subspecialists have also taken the CHAMP FDP. The average evaluations of all CHAMP sessions by all participants are shown in Table 3.
Rating Criteria* | Average (SD) | N |
---|---|---|
| ||
Teaching methods were appropriate for the content covered. | 4.5 0.8 | 571 |
The module made an important contribution to my practice. | 4.4 0.9 | 566 |
Supplemental materials were effectively used to enhance learning. | 4.0 1.6 | 433 |
I feel prepared to teach the material covered in this module. | 4.1 1.0 | 567 |
I feel prepared to incorporate this material into my practice. | 4.4 0.8 | 569 |
Overall, this was a valuable educational experience. | 4.5 0.8 | 565 |
Faculty Scholars rated the FDP highly regarding preparation for teaching and incorporation of the material into their teaching and practice. Likewise, qualitative comments by the Faculty Scholars were strongly supportive of CHAMP:
Significantly more aware and confident in teaching around typical geriatric issues present in our patients.
Provided concrete, structured ideas about curriculum, learning goals, content materials and how to implement them.
The online teaching resources were something I used on an almost daily basis.
Wish we had this for outpatient.
CHAMP had a favorable impact on the Faculty Scholars across the domains of knowledge, attitudes, and perceived behavior change (Table 4). Significant differences on paired‐sample t tests found significant improvement on all but one measure (importance of teaching). After the CHAMP program, Faculty Scholars were more knowledgeable about geriatrics content (P = 0.023), had more positive attitudes to older patients (P = 0.049), and had greater confidence in their ability to care for older patients (P < 0.001) and teach geriatric medicine skills (P < 0.001) and Teaching on Today's Wards content (P < 0.001). There was a significant increase in the perceived importance of practicing the learned skills (P = 0.008) and Teaching on Today's Wards (P = 0.001). The increased importance of teaching geriatrics skills was marginally significant (P = 0.064).
Domain | N | Average Response | SE | P Value* | ||
---|---|---|---|---|---|---|
Pre‐CHAMP | Post‐CHAMP | |||||
| ||||||
Knowledge | Geriatric medicine knowledge test | 21 | 62.14 | 68.05 | 2.40 | 0.023 |
Attitudes | Geriatrics attitude scale | 26 | 56.86 | 58.38 | 0.736 | 0.049 |
Self‐report behavior change | Importance of practice | 28 | 4.40 | 4.62 | 0.078 | 0.008 |
Confidence in practice | 28 | 3.59 | 4.33 | 0.096 | <0.001 | |
Importance of teaching | 27 | 4.52 | 4.66 | 0.074 | 0.064 | |
Confidence in teaching | 27 | 3.42 | 4.47 | 0.112 | <0.001 | |
Importance of Teaching on Today's Wards∥ | 27 | 3.92 | 4.30 | 0.093 | 0.001 | |
Confidence in Teaching on Today's Wards∥ | 27 | 2.81 | 4.05 | 0.136 | <0.001 |
DISCUSSION
Central to CHAMP's design are (1) the creation of teaching materials and teaching resources that specifically address the challenges of teaching the care of the hospitalized older patient in busy hospital settings, (2) the provision of methods to reinforce the newly learned geriatrics teaching skills, and (3) a multidimensional evaluation scheme. The enthusiastic response to the CHAMP FDP and the evaluation results to date support the relevance and importance of CHAMP's focus, materials, and educational methods. The ideal outcome for our CHAMP FDP graduates is more informed, confident, and frequent teaching of geriatrics topics keyed to quality improvement and systems of care through a more streamlined but personalized bedside teaching process.13, 46 The CHAMP Faculty Scholar graduates' self‐report surveys of their performance and teaching of CHAMP course geriatrics skills did reveal a significant shift in clinical behavior, teaching, and confidence. Although the strongest indicator of perceived behavior change was in the enhanced self‐confidence in practicing and teaching, the significant changes in knowledge and attitude reinforce our observations of a shift in the mindset about teaching and caring for hospitalized elderly patients. This provides strong evidence for the efficacy of the CHAMP course in positively influencing participants.
Our biggest challenge with the CHAMP FDP was providing enough ongoing support to reinforce learning with an eye on the greater goal of changing teaching behaviors and clinical outcomes. After pilot testing, we added multiple types of support and follow‐up to the FDP: observed structured teaching exercises to practice CHAMP geriatrics content and teaching skills; modification of Teaching on Today's Wards through the addition of practice‐oriented exercises, games, and tutorials; frequent contact with our Faculty Scholar graduates post‐CHAMP FDP through CTC contracts; annual Faculty Scholars reunions; and continued access for the scholars to CHAMP materials on our Web site. Maintaining face‐to‐face contact between CHAMP core faculty and Faculty Scholars once the latter have finished the FDP has been challenging, largely because of clinical and teaching obligations over geographically separate sites. To overcome this, we are working to integrate CHAMP core faculty into hospitalist and general medicine section lecture series, increasing the frequency of CHAMP reunions, renewing CTC contracts with the Faculty Scholar graduates annually, and considering the concept of CHAMP core faculty guests attending during Faculty Scholars inpatient ward rounds.47
The CHAMP FDP and our evaluations to date have several limitations. First, FDP Scholars were volunteer participants who may have been more motivated to improve their geriatric care and teaching than nonparticipants. However, FDP Scholars had only moderate levels of geriatrics knowledge, attitudes, and confidence in their teaching on baseline testing and showed marked improvements in these domains after the FDP. In addition, Scholars' FDP participation was made possible by a reduction of other clinical obligations through direct reimbursement to their sections with CHAMP funds. Other incentives for CHAMP participation could include its focus on generalizable bedside teaching skills and provision of specific techniques for teaching the ACGME core competencies and quality improvement while using geriatrics content. Although the CHAMP FDP in its 48‐hour format is not sustainable or generalizable, the FDP modules and CHAMP materials were specifically designed to be usable in small pieces that could be incorporated into existing teaching structures, grand rounds, section meetings, teacher conferences, and continuing medical education workshops. CHAMP core group members have already presented and taught CHAMP components in many venues (see Dissemination on the CHAMP Web site). The excitement generated by CHAMP at national and specialty meetings, including multiple requests for materials, speaks to widespread interest in our CHAMP model. We are pursuing the creation of a mini‐CHAMP, an abbreviated FDP with an online component. These activities as well as feedback from users of CHAMP materials from the CHAMP Web site and the Portal of Geriatric Online Education will provide important opportunities for examining the use and acceptance of CHAMP outside our institution.
Another limitation of the CHAMP FDP is reliance on FDP Scholar self‐assessment in several of the evaluation components. Some studies have shown poor concordance between physicians' self‐assessment and external assessment over a range of domains.48 However, others have noted that despite these limitations, self‐assessment remains an essential tool for enabling physicians to discover the motivational discomfort of a performance gap, which may lead to changing concepts and mental models or changing work‐flow processes.49 Teaching on Today's Wards sessions in CHAMP emphasize self‐audit processes (such as process mapping and census audits) that can augment self‐assessment. We used such self‐audit processes in 1 small pilot study to date, providing summative and qualitative feedback to a group of FDP Scholars on their use of census audits.
However, the evaluation of the CHAMP FDP is enhanced by a yearly survey of all medical residents and medical students and by the linking of the teaching reported by residents and medical students to specific attendings. We have begun the analysis of resident perceptions of being taught CHAMP geriatrics topics by CHAMP faculty versus non‐CHAMP faculty. In addition, we are gathering data on patient‐level process of care and outcomes tied to the CHAMP FDP course session objectives by linking to the ongoing University of Chicago Hospitalist Project, a large clinical research project that enrolls general medicine inpatients in a study examining the quality of care and resource allocation for these patients.50 Because the ultimate goal of CHAMP is to improve the quality of care and outcomes for elderly hospitalized patients, the University of Chicago Hospitalist Project infrastructure was modified by the incorporation of the Vulnerable Elder Survey‐1351 and a process‐of‐care chart audit specifically based on the Assessing Care of the Vulnerable Elders Hospital Quality Indicators.52 Preliminary work included testing and validating these measures.53 Further evaluation of these clinical outcomes and CHAMP's efficacy and durability at the University of Chicago is ongoing and will be presented in future reports.
CONCLUSIONS
Through a collaboration of geriatricians, hospitalists, and general internists, the CHAMP FDP provides educational materials and methods keyed to bedside teaching in the fast‐paced world of the hospital. CHAMP improves faculty knowledge and attitudes and the frequency of teaching geriatrics topics and skills necessary to deliver quality care to the elderly hospitalized medical patient. Although the CHAMP FDP was developed and refined for use at a specific institution, the multitiered CHAMP FDP materials and methods have the potential for widespread use by multiple types of inpatient attendings for teaching the care of the older hospitalized medicine patient. Hospitalists in particular will require this expertise as both clinicians and teachers as their role, leadership, and influence continue to expand nationally.
Acknowledgements
The Curriculum for the Hospitalized Aging Medical Patient (CHAMP) Program was supported by funding from the Donald W. Reynolds Foundation with matching funds from the University of Chicago Department of Medicine, by the Hartford Foundation Geriatrics Center for Excellence, and by a Geriatric Academic Career Award to Don Scott. Presentations on CHAMP and its materials include a number of national and international meeting venues, including meetings of the Society of Hospital Medicine, the American Geriatrics Society, and the Association of Program Directors in Internal Medicine and the International Ottawa Conference.
APPENDIX
EXAMPLE OF A CHAMP POCKET CARD: FOLEY CATHETERS
CHAMP: Foley Catheters | CHAMP: Inability to Void | |
---|---|---|
| ||
Catherine DuBeau, MD, Geriatrics, University of Chicago | Catherine DuBeau, MD, Geriatrics, University of Chicago | |
1. Does this patient have a catheter? Incorporate regular catheter checks on rounds as a practice‐based learning and improvement exercise. | 1. Is there a medical reason for this patient's inability to void? | |
Two Basic Reasons | ||
2. Does this patient need a catheter? | Poor pump | |
Only Four Indications | ▪ Meds: anticholinergics, Ca++ blockers, narcotics | |
a. Inability to void | ▪ Sacral cord disease | |
b. Urinary incontinence and | ▪ Neuropathy: DM, B12 | |
▪ Open sacral or perineal wound | ▪ Constipation/emmpaction | |
▪ Palliative care | Blocked outlet | |
c. Urine output monitoring | ▪ Prostate disease | |
▪ Critical illnessfrequent/urgent monitoring needed | ▪ Suprasacral spinal cord disease (eg, MS) with detrusor‐sphincter dyssynergia | |
▪ Patient unable/unwilling to collect urine | ▪ Women: scarring, large cystocele | |
d. After general or spinal anesthesia | ▪ Constipation/emmpaction | |
3. Why should catheter use be minimized? | Evaluation of Inability To Void | |
a. Infection risk | ||
▪ Cause of 40% of nosocomial infections | Action Step | Possible Medical Reasons |
b. Morbidity | ||
▪ Internal catheters | ||
○Associated with delirium | Review meds | ‐Cholinergics, narcotics, calcium channel blockers, ‐agonists |
○Urethral and meatal injury | ||
○Bladder and renal stones | ||
○Fever | Review med Hx | Diabetes with neuropathy, sacral/subsacral cord, B12, GU surgery or radiation |
○Polymicrobial bacteruria | ||
▪ External (condom) catheters | ||
○Penile cellulitus/necrosis | Physical exam | Womenpelvic for prolapse; all‐sacral root S2‐4anal wink and bulbocavernosus reflexes |
○Urinary retention | ||
○Bacteruria and infection | ||
c. Foleys are uncomfortable/painful. | Postvoiding residual | This should have been done in the evaluation of the patient's inability to void and repeated after catheter removal with voiding trial. |
d. Foleys are restrictive falls and delirium. | ||
e. Cost |
- 2002 National Hospital Discharge Survey.Hyattsville, MD:National Center for Health Statistics;2002.Advance Data from Vital and Health Statistics 342. , .
- The critical shortage of geriatrics faculty.J Am Geriatr Soc.1993;41:560–569. , , , et al.
- Development of geriatrics‐oriented faculty in general internal medicine.Ann Intern Med.2003;139:615–620. , , , et al.
- General internal medicine and geriatrics: building a foundation to improve the training of general internists in the care of older adults.Ann Intern Med.2003;139:609–614. , , .
- Curriculum recommendations for resident training in nursing home care. A collaborative effort of the Society of General Internal Medicine Task Force on Geriatric Medicine, the Society of Teachers of Family Medicine Geriatrics Task Force, the American Medical Directors Association, and the American Geriatrics Society Education Committee.J Am Geriatr Soc.1994;42:1200–1201. , .
- Curriculum recommendations for resident training in geriatrics interdisciplinary team care.J Am Geriatr Soc.1999;47:1145–1148. , , , , .
- A national survey on the current status of family practice residency education in geriatric medicine.Fam Med.2003;35:35–41. , , , , .
- ACGME requirements for geriatrics medicine curricula in medical specialties: progress made and progress needed.Acad Med.2005;80:279–285. , .
- Improving geriatrics training in internal medicine residency programs: best practices and sustainable solutions.Ann Intern Med.2003;139:628–634. , , , et al.
- Core competencies in hospital medicine.J Hosp Med.2006;1(suppl 1):48–56. , , , , .
- A medical unit for the acute care of the elderly.J Am Geriatr Soc.1994;42:545–552. , , , .
- Dissemination and characteristics of acute care of elders (ACE) units in the United States.Int J Technol Assess Health Care.2003;19:220–227. , , , et al.
- Changing physician performance: a systematic review of the effect of continuing medical education strategies.J Am Med Assoc.1995;274:700–750. , , , .
- Accreditation Council for Graduate Medical Education. Outcome project: general competencies. Available at: http://www.acgme.org/outcome/comp/compfull.asp. Accessed October2005.
- The Stanford faculty development program for medical teachers: a dissemination approach to faculty development for medical teachers.Teach Learn Med.1992;4:180–187. , , , et al.
- How do you get to teaching improvement? A longitudinal faculty development program for medical educators.Teach Learn Med.1998;11:52–57. , , .
- Curriculum Development for Medical Education: A Six‐Step Approach.Baltimore, MD:Johns Hopkins University Press;1998. .
- Acute hospital care. In:Cassel C,Cohen HJ,Larson EB, et al., eds.Geriatric Medicine,4th ed.New York:Springer‐Verlag;2003. .
- A multicomponent intervention to prevent delirium in hospitalized older patients.N Engl J Med.1999;340:669–676. , , , et al.
- Importance of functional measures in predicting mortality among older hospitalized patients.JAMA.1998;279:1187–1193. , , , et al.
- Cognitive screening predicts magnitude of functional recovery from admission to 3 months after discharge in hospitalized elders.J Gerontol Med Sci.2003;58:37–45. , , , et al.
- Comprehensive discharge planning and home follow‐up of hospitalized elders: a randomized controlled trial.JAMA.1999;17:613–620. , , , et al.
- A randomized trial of care in a hospital medical unit especially designed to improve the functional outcomes of acutely ill older patients.N Engl J Med.1995;332:1338–1344. , , , et al.
- A controlled trial of inpatient and outpatient geriatric evaluation and management.N Engl J Med.2002;346:905–912. , , , et al.
- Effects of a multicomponent intervention on functional outcomes and process of care in hospitalized older patients: a randomized controlled trial of acute care for the elders (ACE) in a community hospital.J Am Geriatr Soc.2000;48:1572–1581. , , , et al.
- The Joint Commission. Available at http://www.jcinc.com. Accessed April2008.
- A learner's needs assessment in geriatric medicine for hospitalists. Paper to be presented at: American Geriatrics Society Annual Meeting; May2004; Las Vegas, NV. , , , et al.
- Clarifying confusion: the confusion assessment method. A new method for detecting delirium.Ann Intern Med1990;113:941–948. , , , et al.
- Meeting the JCAHO national patient safety goal: a model for building a standardized hand‐off protocol.Jt Comm J Qual Saf.2006;32:645–655. , .
- Safety by design: understanding the dynamic complexity of redesigning care around the clinical microsystem.Qual Saf Health Care.2006;15(suppl 1):i10–i16. , .
- The PDSA cycle at the core of learning in health professions education.Jt Comm J Qual Improv.1996;22:206–212. , .
- A case‐based approach to teaching practice‐based learning and improvement on the wards.Semin Med Pract.2005;8:64–74. , , .
- Does the structure of questions affect the outcome of curbside consultations with specialty colleagues?Arch Fam Med.2000;9:541–547. , , , .
- Enhancing medical student consultation request skills in an academic emergency department.J Emerg Med.1998;16:659–662. , , .
- Using an objective structured teaching evaluation for faculty development.Med Educ.2005;39:1160–1161. , , , .
- Using standardised students in faculty development workshops to improve clinical teaching skills.Med Educ.2003;37:621. , .
- Reliability and validity of an objective structured teaching examination for generalist resident teachers.Acad Med.2002;77:S29. , , , , , .
- A five‐step “microskills” model of clinical teaching.J Am Board Fam Pract.1992;5:419–424. , , , .
- Commitment to change: theoretical foundations, methods, and outcomes.J Cont Educ Health Prof.1999;19:200–207. , .
- Commitment to change: a strategy for promoting educational effectiveness.J Cont Educ Health Prof.2000;20:156–163. .
- Evaluation of training. In:Craig R,Bittel I, eds.Training and Development Handbook.New York, NY:McGraw‐Hill;1967. .
- Development and evaluation of a geriatrics knowledge test for primary care residents.J Gen Intern Med.1997;12:450–452. , , , et al.
- UNIPAC Three: Assessment and Treatment of Pain in the Terminally Ill.2nd ed.Glenview, IL:American Academy of Hospice and Palliative Care;2003. , .
- Development and validation of a geriatric knowledge test for medical students.J Am Geriatr Soc.2004;52:983–988. , , , et al.
- Development and validation of a geriatrics attitudes scale for primary care residents.J Am Geriatr Soc.1998;46:1425–1430. , , , et al.
- No magic bullets: a systematic review of 102 trials of interventions to improve professional practice.Can Med Assoc J.1995;153:1423–1431. , , , .
- Faculty development in geriatrics for clinician educators: a unique model for skills acquisition and academic achievement.J Am Geriatr Soc.2005;53:516–521. , , , , .
- Accuracy of physician self‐assessment compared with observed measures of competence: a systematic review.JAMA.2006;296:1094–1102. , , , et al.
- Self‐assessment in lifelong learning and improving performance in practice: physician know thyself.JAMA.2006;296:1137–1139. , .
- Effects of physician experience on costs and outcomes on an academic general medicine service: results of a trial of hospitalists.Ann Intern Med.2002;137:866–874. , , , et al.
- The vulnerable elders survey: a tool for identifying vulnerable older people in the community.J Am Geriatr Soc.2001;49:1691–1699. , , , et al.
- the ACOVE Investigators.Assessing care of vulnerable elders: ACOVE project overview.Ann Intern Med.2001;135:642–646. , , and
- Using assessing care of vulnerable elders quality indicators to measure quality of hospital care for vulnerable elders.J Am Geriatr Soc.2007;55:1705–1711. , , , et al.
- 2002 National Hospital Discharge Survey.Hyattsville, MD:National Center for Health Statistics;2002.Advance Data from Vital and Health Statistics 342. , .
- The critical shortage of geriatrics faculty.J Am Geriatr Soc.1993;41:560–569. , , , et al.
- Development of geriatrics‐oriented faculty in general internal medicine.Ann Intern Med.2003;139:615–620. , , , et al.
- General internal medicine and geriatrics: building a foundation to improve the training of general internists in the care of older adults.Ann Intern Med.2003;139:609–614. , , .
- Curriculum recommendations for resident training in nursing home care. A collaborative effort of the Society of General Internal Medicine Task Force on Geriatric Medicine, the Society of Teachers of Family Medicine Geriatrics Task Force, the American Medical Directors Association, and the American Geriatrics Society Education Committee.J Am Geriatr Soc.1994;42:1200–1201. , .
- Curriculum recommendations for resident training in geriatrics interdisciplinary team care.J Am Geriatr Soc.1999;47:1145–1148. , , , , .
- A national survey on the current status of family practice residency education in geriatric medicine.Fam Med.2003;35:35–41. , , , , .
- ACGME requirements for geriatrics medicine curricula in medical specialties: progress made and progress needed.Acad Med.2005;80:279–285. , .
- Improving geriatrics training in internal medicine residency programs: best practices and sustainable solutions.Ann Intern Med.2003;139:628–634. , , , et al.
- Core competencies in hospital medicine.J Hosp Med.2006;1(suppl 1):48–56. , , , , .
- A medical unit for the acute care of the elderly.J Am Geriatr Soc.1994;42:545–552. , , , .
- Dissemination and characteristics of acute care of elders (ACE) units in the United States.Int J Technol Assess Health Care.2003;19:220–227. , , , et al.
- Changing physician performance: a systematic review of the effect of continuing medical education strategies.J Am Med Assoc.1995;274:700–750. , , , .
- Accreditation Council for Graduate Medical Education. Outcome project: general competencies. Available at: http://www.acgme.org/outcome/comp/compfull.asp. Accessed October2005.
- The Stanford faculty development program for medical teachers: a dissemination approach to faculty development for medical teachers.Teach Learn Med.1992;4:180–187. , , , et al.
- How do you get to teaching improvement? A longitudinal faculty development program for medical educators.Teach Learn Med.1998;11:52–57. , , .
- Curriculum Development for Medical Education: A Six‐Step Approach.Baltimore, MD:Johns Hopkins University Press;1998. .
- Acute hospital care. In:Cassel C,Cohen HJ,Larson EB, et al., eds.Geriatric Medicine,4th ed.New York:Springer‐Verlag;2003. .
- A multicomponent intervention to prevent delirium in hospitalized older patients.N Engl J Med.1999;340:669–676. , , , et al.
- Importance of functional measures in predicting mortality among older hospitalized patients.JAMA.1998;279:1187–1193. , , , et al.
- Cognitive screening predicts magnitude of functional recovery from admission to 3 months after discharge in hospitalized elders.J Gerontol Med Sci.2003;58:37–45. , , , et al.
- Comprehensive discharge planning and home follow‐up of hospitalized elders: a randomized controlled trial.JAMA.1999;17:613–620. , , , et al.
- A randomized trial of care in a hospital medical unit especially designed to improve the functional outcomes of acutely ill older patients.N Engl J Med.1995;332:1338–1344. , , , et al.
- A controlled trial of inpatient and outpatient geriatric evaluation and management.N Engl J Med.2002;346:905–912. , , , et al.
- Effects of a multicomponent intervention on functional outcomes and process of care in hospitalized older patients: a randomized controlled trial of acute care for the elders (ACE) in a community hospital.J Am Geriatr Soc.2000;48:1572–1581. , , , et al.
- The Joint Commission. Available at http://www.jcinc.com. Accessed April2008.
- A learner's needs assessment in geriatric medicine for hospitalists. Paper to be presented at: American Geriatrics Society Annual Meeting; May2004; Las Vegas, NV. , , , et al.
- Clarifying confusion: the confusion assessment method. A new method for detecting delirium.Ann Intern Med1990;113:941–948. , , , et al.
- Meeting the JCAHO national patient safety goal: a model for building a standardized hand‐off protocol.Jt Comm J Qual Saf.2006;32:645–655. , .
- Safety by design: understanding the dynamic complexity of redesigning care around the clinical microsystem.Qual Saf Health Care.2006;15(suppl 1):i10–i16. , .
- The PDSA cycle at the core of learning in health professions education.Jt Comm J Qual Improv.1996;22:206–212. , .
- A case‐based approach to teaching practice‐based learning and improvement on the wards.Semin Med Pract.2005;8:64–74. , , .
- Does the structure of questions affect the outcome of curbside consultations with specialty colleagues?Arch Fam Med.2000;9:541–547. , , , .
- Enhancing medical student consultation request skills in an academic emergency department.J Emerg Med.1998;16:659–662. , , .
- Using an objective structured teaching evaluation for faculty development.Med Educ.2005;39:1160–1161. , , , .
- Using standardised students in faculty development workshops to improve clinical teaching skills.Med Educ.2003;37:621. , .
- Reliability and validity of an objective structured teaching examination for generalist resident teachers.Acad Med.2002;77:S29. , , , , , .
- A five‐step “microskills” model of clinical teaching.J Am Board Fam Pract.1992;5:419–424. , , , .
- Commitment to change: theoretical foundations, methods, and outcomes.J Cont Educ Health Prof.1999;19:200–207. , .
- Commitment to change: a strategy for promoting educational effectiveness.J Cont Educ Health Prof.2000;20:156–163. .
- Evaluation of training. In:Craig R,Bittel I, eds.Training and Development Handbook.New York, NY:McGraw‐Hill;1967. .
- Development and evaluation of a geriatrics knowledge test for primary care residents.J Gen Intern Med.1997;12:450–452. , , , et al.
- UNIPAC Three: Assessment and Treatment of Pain in the Terminally Ill.2nd ed.Glenview, IL:American Academy of Hospice and Palliative Care;2003. , .
- Development and validation of a geriatric knowledge test for medical students.J Am Geriatr Soc.2004;52:983–988. , , , et al.
- Development and validation of a geriatrics attitudes scale for primary care residents.J Am Geriatr Soc.1998;46:1425–1430. , , , et al.
- No magic bullets: a systematic review of 102 trials of interventions to improve professional practice.Can Med Assoc J.1995;153:1423–1431. , , , .
- Faculty development in geriatrics for clinician educators: a unique model for skills acquisition and academic achievement.J Am Geriatr Soc.2005;53:516–521. , , , , .
- Accuracy of physician self‐assessment compared with observed measures of competence: a systematic review.JAMA.2006;296:1094–1102. , , , et al.
- Self‐assessment in lifelong learning and improving performance in practice: physician know thyself.JAMA.2006;296:1137–1139. , .
- Effects of physician experience on costs and outcomes on an academic general medicine service: results of a trial of hospitalists.Ann Intern Med.2002;137:866–874. , , , et al.
- The vulnerable elders survey: a tool for identifying vulnerable older people in the community.J Am Geriatr Soc.2001;49:1691–1699. , , , et al.
- the ACOVE Investigators.Assessing care of vulnerable elders: ACOVE project overview.Ann Intern Med.2001;135:642–646. , , and
- Using assessing care of vulnerable elders quality indicators to measure quality of hospital care for vulnerable elders.J Am Geriatr Soc.2007;55:1705–1711. , , , et al.
Copyright © 2008 Society of Hospital Medicine
Admitting to a Readmit Problem
Admitting to a Readmit Problem
We have a friendly disagreement within our hospitalist group. Some of our physicians believe we should track readmission rates. They believe it is a marker of quality. Others do not. What do you think?
Richard Mackiewicz, MD, New York, NY
Dr. Hospitalist responds:
Policymakers certainly are thinking about hospital readmission rates these days. Hospital readmissions sometimes can indicate poor care or poor coordination of care. Most hospitalist programs do not track readmission rates…but maybe they should.
I have a feeling payers, such as Medicare, will implement policies in the future that will force hospitals and hospitalists to closely monitor readmission rates. Why do I think that? Because, aside from poor care, unnecessary readmissions cost the system money—lots of money. What if I told you 17% of your patients are readmitted to a hospital within 30 days? Not high enough? How about 31%?
I admit my hospitalist program doesn’t track readmission rates. I have no clue what percentage of our patients get readmitted within 30 days. But MedPAC does. A recent MedPAC analysis of 2005 Medicare Provider Analysis and Review data found 6.2% of patients discharged from hospitals are readmitted within seven days. This percentage grows to 11.3% at 15 days and 17.6% at 30 days. That 17.6% translates to roughly $15 billion in Medicare spending.
Data for patients with end-stage renal disease (ESRD) are even more staggering. Hospitalized ESRD patients are readmitted within seven days at a rate of 11.2%. Within 15 days, that becomes 20.4%. Within 30 days, 31.6% of patients with ESRD are readmitted to the hospital.
Surprised at the high numbers? I was. It’s not just patients of this type. Some of my patients get readmitted for reasons that have nothing to do with previous admissions. How can we prevent that? MedPAC ran numbers with only “potentially preventable hospital readmission rates.” The readmission rates for all comers were 5.2% at seven days, 8.8% at 15 days and 13.3% at 30 days. This translated to $5, $8, and $12 billion dollars, respectively, in potentially unnecessary spending of Medicare dollars.
If unnecessary hospital readmissions are so bad, why haven’t hospitals and hospitalists placed a bigger emphasis on preventing them? There are several reasons. One is a lack of awareness of the problem, but the main reason likely is lack of financial incentive to do so.
Most hospitals receive Medicare payment regardless of readmissions. In some states, CMS contractors and quality improvement organizations aggressively have denied payment for readmissions within 30 days, but these are the exceptions, not the rules. In many parts of the country, hospitals have no financial incentive to reduce readmissions unless they can fill the unused beds with more “profitable” patients.
Under the case-based DRG payment model, Medicare actually rewards hospitals for shorter lengths of stay. Hospitals have developed systems to encourage providers to discharge patients as quickly as possible. In fact, many hospitals even look at physicians’ inpatient length of stay as a measure of performance. From the physician perspective, why not discharge the patient as quickly as medically appropriate? The hospital commends you for doing so and if the patient is readmitted, you get to bill a higher admission code rather than a lower-paying subsequent day visit code. More admission and discharge billing means more money.
So how will policymakers address the issue of unnecessary hospital readmissions? Simple. They’ll restructure the compensation model. Medicare addressed the problem of hospital-acquired infections by not paying for them. Hospitals reacted by implementing measures to minimize and prevent the development of these complications. MedPAC has suggested Medicare disclose the risk-adjusted readmission rates for all hospitals and determine benchmark readmission rates for certain conditions (e.g., heart failure, COPD exacerbations, and CABG). Hospitals would receive payment based on how close they come to these benchmarks.
Depending on the approach, Medicare could take away dollars from low performers and/or pay more to high performers. Don’t expect Medicare to limit compensation incentives to acute care hospitals. Expect policy changes to also affect post-acute care facilities, home health providers and physicians.
One thing is certain: Hospitals and payers will expect and demand hospitalists to lead the effort to reduce unnecessary readmissions. No other group of physicians is better positioned to do so. How can hospitalists minimize the risk of hospital readmission? MedPAC has several suggestions:
- Provide better, safer care during the inpatient stay;
- Attend to patients’ medication needs at discharge;
- Improve communication with patients before and after; discharge;
- Improve communication with other providers; and
- Review practice patterns.
Do these suggestions sound familiar? They should. Most of them are signs of high functioning hospitalists and hospitalist groups, and you should already be doing them routinely. TH
Reference:
- MedPAC Report to the Congress: Promoting Greater Efficiency in Medicare, June 2007.
Admitting to a Readmit Problem
We have a friendly disagreement within our hospitalist group. Some of our physicians believe we should track readmission rates. They believe it is a marker of quality. Others do not. What do you think?
Richard Mackiewicz, MD, New York, NY
Dr. Hospitalist responds:
Policymakers certainly are thinking about hospital readmission rates these days. Hospital readmissions sometimes can indicate poor care or poor coordination of care. Most hospitalist programs do not track readmission rates…but maybe they should.
I have a feeling payers, such as Medicare, will implement policies in the future that will force hospitals and hospitalists to closely monitor readmission rates. Why do I think that? Because, aside from poor care, unnecessary readmissions cost the system money—lots of money. What if I told you 17% of your patients are readmitted to a hospital within 30 days? Not high enough? How about 31%?
I admit my hospitalist program doesn’t track readmission rates. I have no clue what percentage of our patients get readmitted within 30 days. But MedPAC does. A recent MedPAC analysis of 2005 Medicare Provider Analysis and Review data found 6.2% of patients discharged from hospitals are readmitted within seven days. This percentage grows to 11.3% at 15 days and 17.6% at 30 days. That 17.6% translates to roughly $15 billion in Medicare spending.
Data for patients with end-stage renal disease (ESRD) are even more staggering. Hospitalized ESRD patients are readmitted within seven days at a rate of 11.2%. Within 15 days, that becomes 20.4%. Within 30 days, 31.6% of patients with ESRD are readmitted to the hospital.
Surprised at the high numbers? I was. It’s not just patients of this type. Some of my patients get readmitted for reasons that have nothing to do with previous admissions. How can we prevent that? MedPAC ran numbers with only “potentially preventable hospital readmission rates.” The readmission rates for all comers were 5.2% at seven days, 8.8% at 15 days and 13.3% at 30 days. This translated to $5, $8, and $12 billion dollars, respectively, in potentially unnecessary spending of Medicare dollars.
If unnecessary hospital readmissions are so bad, why haven’t hospitals and hospitalists placed a bigger emphasis on preventing them? There are several reasons. One is a lack of awareness of the problem, but the main reason likely is lack of financial incentive to do so.
Most hospitals receive Medicare payment regardless of readmissions. In some states, CMS contractors and quality improvement organizations aggressively have denied payment for readmissions within 30 days, but these are the exceptions, not the rules. In many parts of the country, hospitals have no financial incentive to reduce readmissions unless they can fill the unused beds with more “profitable” patients.
Under the case-based DRG payment model, Medicare actually rewards hospitals for shorter lengths of stay. Hospitals have developed systems to encourage providers to discharge patients as quickly as possible. In fact, many hospitals even look at physicians’ inpatient length of stay as a measure of performance. From the physician perspective, why not discharge the patient as quickly as medically appropriate? The hospital commends you for doing so and if the patient is readmitted, you get to bill a higher admission code rather than a lower-paying subsequent day visit code. More admission and discharge billing means more money.
So how will policymakers address the issue of unnecessary hospital readmissions? Simple. They’ll restructure the compensation model. Medicare addressed the problem of hospital-acquired infections by not paying for them. Hospitals reacted by implementing measures to minimize and prevent the development of these complications. MedPAC has suggested Medicare disclose the risk-adjusted readmission rates for all hospitals and determine benchmark readmission rates for certain conditions (e.g., heart failure, COPD exacerbations, and CABG). Hospitals would receive payment based on how close they come to these benchmarks.
Depending on the approach, Medicare could take away dollars from low performers and/or pay more to high performers. Don’t expect Medicare to limit compensation incentives to acute care hospitals. Expect policy changes to also affect post-acute care facilities, home health providers and physicians.
One thing is certain: Hospitals and payers will expect and demand hospitalists to lead the effort to reduce unnecessary readmissions. No other group of physicians is better positioned to do so. How can hospitalists minimize the risk of hospital readmission? MedPAC has several suggestions:
- Provide better, safer care during the inpatient stay;
- Attend to patients’ medication needs at discharge;
- Improve communication with patients before and after; discharge;
- Improve communication with other providers; and
- Review practice patterns.
Do these suggestions sound familiar? They should. Most of them are signs of high functioning hospitalists and hospitalist groups, and you should already be doing them routinely. TH
Reference:
- MedPAC Report to the Congress: Promoting Greater Efficiency in Medicare, June 2007.
Admitting to a Readmit Problem
We have a friendly disagreement within our hospitalist group. Some of our physicians believe we should track readmission rates. They believe it is a marker of quality. Others do not. What do you think?
Richard Mackiewicz, MD, New York, NY
Dr. Hospitalist responds:
Policymakers certainly are thinking about hospital readmission rates these days. Hospital readmissions sometimes can indicate poor care or poor coordination of care. Most hospitalist programs do not track readmission rates…but maybe they should.
I have a feeling payers, such as Medicare, will implement policies in the future that will force hospitals and hospitalists to closely monitor readmission rates. Why do I think that? Because, aside from poor care, unnecessary readmissions cost the system money—lots of money. What if I told you 17% of your patients are readmitted to a hospital within 30 days? Not high enough? How about 31%?
I admit my hospitalist program doesn’t track readmission rates. I have no clue what percentage of our patients get readmitted within 30 days. But MedPAC does. A recent MedPAC analysis of 2005 Medicare Provider Analysis and Review data found 6.2% of patients discharged from hospitals are readmitted within seven days. This percentage grows to 11.3% at 15 days and 17.6% at 30 days. That 17.6% translates to roughly $15 billion in Medicare spending.
Data for patients with end-stage renal disease (ESRD) are even more staggering. Hospitalized ESRD patients are readmitted within seven days at a rate of 11.2%. Within 15 days, that becomes 20.4%. Within 30 days, 31.6% of patients with ESRD are readmitted to the hospital.
Surprised at the high numbers? I was. It’s not just patients of this type. Some of my patients get readmitted for reasons that have nothing to do with previous admissions. How can we prevent that? MedPAC ran numbers with only “potentially preventable hospital readmission rates.” The readmission rates for all comers were 5.2% at seven days, 8.8% at 15 days and 13.3% at 30 days. This translated to $5, $8, and $12 billion dollars, respectively, in potentially unnecessary spending of Medicare dollars.
If unnecessary hospital readmissions are so bad, why haven’t hospitals and hospitalists placed a bigger emphasis on preventing them? There are several reasons. One is a lack of awareness of the problem, but the main reason likely is lack of financial incentive to do so.
Most hospitals receive Medicare payment regardless of readmissions. In some states, CMS contractors and quality improvement organizations aggressively have denied payment for readmissions within 30 days, but these are the exceptions, not the rules. In many parts of the country, hospitals have no financial incentive to reduce readmissions unless they can fill the unused beds with more “profitable” patients.
Under the case-based DRG payment model, Medicare actually rewards hospitals for shorter lengths of stay. Hospitals have developed systems to encourage providers to discharge patients as quickly as possible. In fact, many hospitals even look at physicians’ inpatient length of stay as a measure of performance. From the physician perspective, why not discharge the patient as quickly as medically appropriate? The hospital commends you for doing so and if the patient is readmitted, you get to bill a higher admission code rather than a lower-paying subsequent day visit code. More admission and discharge billing means more money.
So how will policymakers address the issue of unnecessary hospital readmissions? Simple. They’ll restructure the compensation model. Medicare addressed the problem of hospital-acquired infections by not paying for them. Hospitals reacted by implementing measures to minimize and prevent the development of these complications. MedPAC has suggested Medicare disclose the risk-adjusted readmission rates for all hospitals and determine benchmark readmission rates for certain conditions (e.g., heart failure, COPD exacerbations, and CABG). Hospitals would receive payment based on how close they come to these benchmarks.
Depending on the approach, Medicare could take away dollars from low performers and/or pay more to high performers. Don’t expect Medicare to limit compensation incentives to acute care hospitals. Expect policy changes to also affect post-acute care facilities, home health providers and physicians.
One thing is certain: Hospitals and payers will expect and demand hospitalists to lead the effort to reduce unnecessary readmissions. No other group of physicians is better positioned to do so. How can hospitalists minimize the risk of hospital readmission? MedPAC has several suggestions:
- Provide better, safer care during the inpatient stay;
- Attend to patients’ medication needs at discharge;
- Improve communication with patients before and after; discharge;
- Improve communication with other providers; and
- Review practice patterns.
Do these suggestions sound familiar? They should. Most of them are signs of high functioning hospitalists and hospitalist groups, and you should already be doing them routinely. TH
Reference:
- MedPAC Report to the Congress: Promoting Greater Efficiency in Medicare, June 2007.