Editorial

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JHM's new CME feature—helping hospitalists stay afloat

To study the phenomena of disease without books is to sail an uncharted sea, while to study books without patients is not to go to sea at all.1

‐Sir William Osler

For a typical hospitalist in the 21st century, going to sea is not a concern. Getting lost at sea, or worse yet, drowning, loom larger as threats to today's hospitals‐based providers. To help our readers navigate the rapidly changing waters that are today's hospitals, the Journal is launching a new feature. Starting with this issue of the Journal of Hospital Medicine, we are pleased to provide CME credits pertaining to articles published in the Journal at no additional cost to the reader. As the newly appointed CME Editor, I will be charged with identifying an article to be published in upcoming issues of the Journal that is likely to impact the practice of the majority of our readership. Based on the article, a series of multiple‐choice questions will be developed and readers interested in pursuing CME credit will be directed to an on‐line site to complete the questions and receive immediate CME credit along with the answers to the questions.

For our first article, CME questions have been developed for the well‐done review by Abu Jawdeh and colleagues, Evidence‐based approach for prevention of radiocontrast‐induced nephropathy,2 a topic encountered by hospitalists daily. While clinical topics will likely comprise the majority of selected topics, CME activity in the Journal will reflect the diverse roles filled by hospitalists as champions of quality improvement, patient safety, care transitions, teaching, research, and team leadership.

What may seem straightforward at first glance is actually a more complicated process behind the scenes. The Editorial Office and the production team at Wiley have worked hard to make the CME process as seamless as possible for our readers. User‐friendly features include: direct linking between the on‐line Journal and the Journal's web‐based CME activity; on‐line tracking of individual CME credits and certificates; answers to CME questions, along with explanations, available immediately upon submitting your responses; and performance measurement related to the program. In the future, we hope to take advantage of technology to enhance the CME process to reach our diverse readership. We hope you enjoy this new feature of the Journal, and please give us your feedback on it.

Acknowledgements

The author wishes to acknowledge David Kempe for his careful review and input on this editorial.

References
  1. The Quotable Osler. Silverman ME, Murray TJ and Bryan CS, editors. 1st ed.Philadelphia; PA:American College of Physicians;2003:xi.
  2. Abu Jawdeh B, A,Schelling J.Evidence‐Base Approach for Prevention of radiocontrast induced nephropathy.,J Hosp Med.2009;4(8):499505.
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Issue
Journal of Hospital Medicine - 4(8)
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459-459
Sections
Article PDF
Article PDF

To study the phenomena of disease without books is to sail an uncharted sea, while to study books without patients is not to go to sea at all.1

‐Sir William Osler

For a typical hospitalist in the 21st century, going to sea is not a concern. Getting lost at sea, or worse yet, drowning, loom larger as threats to today's hospitals‐based providers. To help our readers navigate the rapidly changing waters that are today's hospitals, the Journal is launching a new feature. Starting with this issue of the Journal of Hospital Medicine, we are pleased to provide CME credits pertaining to articles published in the Journal at no additional cost to the reader. As the newly appointed CME Editor, I will be charged with identifying an article to be published in upcoming issues of the Journal that is likely to impact the practice of the majority of our readership. Based on the article, a series of multiple‐choice questions will be developed and readers interested in pursuing CME credit will be directed to an on‐line site to complete the questions and receive immediate CME credit along with the answers to the questions.

For our first article, CME questions have been developed for the well‐done review by Abu Jawdeh and colleagues, Evidence‐based approach for prevention of radiocontrast‐induced nephropathy,2 a topic encountered by hospitalists daily. While clinical topics will likely comprise the majority of selected topics, CME activity in the Journal will reflect the diverse roles filled by hospitalists as champions of quality improvement, patient safety, care transitions, teaching, research, and team leadership.

What may seem straightforward at first glance is actually a more complicated process behind the scenes. The Editorial Office and the production team at Wiley have worked hard to make the CME process as seamless as possible for our readers. User‐friendly features include: direct linking between the on‐line Journal and the Journal's web‐based CME activity; on‐line tracking of individual CME credits and certificates; answers to CME questions, along with explanations, available immediately upon submitting your responses; and performance measurement related to the program. In the future, we hope to take advantage of technology to enhance the CME process to reach our diverse readership. We hope you enjoy this new feature of the Journal, and please give us your feedback on it.

Acknowledgements

The author wishes to acknowledge David Kempe for his careful review and input on this editorial.

To study the phenomena of disease without books is to sail an uncharted sea, while to study books without patients is not to go to sea at all.1

‐Sir William Osler

For a typical hospitalist in the 21st century, going to sea is not a concern. Getting lost at sea, or worse yet, drowning, loom larger as threats to today's hospitals‐based providers. To help our readers navigate the rapidly changing waters that are today's hospitals, the Journal is launching a new feature. Starting with this issue of the Journal of Hospital Medicine, we are pleased to provide CME credits pertaining to articles published in the Journal at no additional cost to the reader. As the newly appointed CME Editor, I will be charged with identifying an article to be published in upcoming issues of the Journal that is likely to impact the practice of the majority of our readership. Based on the article, a series of multiple‐choice questions will be developed and readers interested in pursuing CME credit will be directed to an on‐line site to complete the questions and receive immediate CME credit along with the answers to the questions.

For our first article, CME questions have been developed for the well‐done review by Abu Jawdeh and colleagues, Evidence‐based approach for prevention of radiocontrast‐induced nephropathy,2 a topic encountered by hospitalists daily. While clinical topics will likely comprise the majority of selected topics, CME activity in the Journal will reflect the diverse roles filled by hospitalists as champions of quality improvement, patient safety, care transitions, teaching, research, and team leadership.

What may seem straightforward at first glance is actually a more complicated process behind the scenes. The Editorial Office and the production team at Wiley have worked hard to make the CME process as seamless as possible for our readers. User‐friendly features include: direct linking between the on‐line Journal and the Journal's web‐based CME activity; on‐line tracking of individual CME credits and certificates; answers to CME questions, along with explanations, available immediately upon submitting your responses; and performance measurement related to the program. In the future, we hope to take advantage of technology to enhance the CME process to reach our diverse readership. We hope you enjoy this new feature of the Journal, and please give us your feedback on it.

Acknowledgements

The author wishes to acknowledge David Kempe for his careful review and input on this editorial.

References
  1. The Quotable Osler. Silverman ME, Murray TJ and Bryan CS, editors. 1st ed.Philadelphia; PA:American College of Physicians;2003:xi.
  2. Abu Jawdeh B, A,Schelling J.Evidence‐Base Approach for Prevention of radiocontrast induced nephropathy.,J Hosp Med.2009;4(8):499505.
References
  1. The Quotable Osler. Silverman ME, Murray TJ and Bryan CS, editors. 1st ed.Philadelphia; PA:American College of Physicians;2003:xi.
  2. Abu Jawdeh B, A,Schelling J.Evidence‐Base Approach for Prevention of radiocontrast induced nephropathy.,J Hosp Med.2009;4(8):499505.
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Journal of Hospital Medicine - 4(8)
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Journal of Hospital Medicine - 4(8)
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459-459
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JHM's new CME feature—helping hospitalists stay afloat
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JHM's new CME feature—helping hospitalists stay afloat
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Productivity vs. Production Capacity

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Productivity vs. production capacity: Hospitalists as medical educators

Maintaining a balance between productivity (what we do now), and production capacity (the ability to continue to do what we now do in the future) is one of the central tenets of successful organizations and societies. The economic benefits of industrialization (production) must be balanced with the needs of the environment (production capacity). It is appropriate then, that this issue of The Journal of Hospital Medicine juxtaposes Conway's1 article on hospitalists' current production of ensuring value, with articles addressing medical education, our production capacity.

What is the role of hospitalists in medical education? The article by Beasley et al.,2 confirms what has long been suspected: the growth of hospitalists in medical education has paralleled the growth of the movement as a whole. The meta‐analysis by Natarajan et al.3 further suggests that hospitalists are at the very least no worse in medical education than other specialists, and in some domains, may be superior. The theoretical fears of hospitalists as medical educators have not been borne out: utilizing hospitalists as educators does not lead to a decline in resident autonomy, nor does it lead to a decline in educational ability. But despite the fact that 73% of residency training programs utilize hospitalists, there are several reasons why the hospitalists' role in inpatient medical education should be even more robust.

The landscape of graduate medical education has dramatically changed in the past 10 years. The knowledge‐only paradigm has evolved to a comprehensive focus on the trainee's overall performance, including understanding the healthcare system in which she works (systems of care), self‐reflection on her practice (practice‐based learning), and an augmented emphasis on professionalism and interpersonal skills.4 Unfortunately, many systems have not undergone a similar paradigm change, opting instead to merely rearrange components of the old knowledge‐focused system. For example, practice‐based learning may remain relegated to journal clubs, where the focus is on the knowledge contained in the chosen article, instead of active exercises in which the resident self‐reflects on his patient care performance and seeks ways to improve that performance. Instruction in systems‐of‐care may remain within a knowledge‐only paradigm: a didactic lecture on Medicare/Medicaid and reimbursement instead of residents actively participating in quality improvement projects.

The article by Mazotti et al.,5 provides insight into the reason for this developmental arrest: there isn't enough time in the old system. The duty‐hours have decreased for residents, but since the work product has remained the same, the result has been an increase in work intensity. As work intensity increases, production capacity (medical education) is the first to be sacrificed in an effort to maintain production (getting the work done).

Here is the yet unrealized role of the hospitalist. The same degree of systems reengineering that brought about improved efficiency in patient care (shorter lengths of stay, fewer readmissions), must be applied to the inpatient education system if duty hours, a reasonable work intensity, and meaningful education in each of the core competencies are to coexist. But there is no panacea for these issues: each system is unique, and the solutions to improving the efficiency of the inpatient education environment are just as unique. Solutions require a systems architect (ie, the hospitalist) to redesign the educational environment in his particular system. It is natural to assume that the hospitalist educator, familiar with the strengths and weakness of the educational system in which he routinely works, will be best equipped to enact meaningful solutions that improve efficiency while protecting the principles of medical education.

What does it mean to change the educational system? Taiichi Ohno,6 Toyota's Chief Engineer, provides Seven Organizational Wastes, a framework for identifying areas of improvement in the educational work environment. Consider, for example, the following selected opportunities for improving the efficiency of the inpatient medical education system: (1) excessive testing or consultation leading to delayed discharge and more resident work effort (Overproduction); (2) the resident team waiting for the attending to arrive from a procedure or clinic (Waiting); (3) inadequate teaching about the principles of transitions of care, resulting in more readmissions to the teaching service (Transporting); (4) failure to have quality improvement conferences to discuss the appropriateness of admissions (Inappropriate processing); (5) failure to teach residents how to work with social work/placement services to facilitate early discharge (Unnecessary inventory); (6) failure to construct a training program that limits fragmentation, with residents moving from 1 task to the next and back again (Unnecessary motion); and (7) medical errors resulting in prolonged lengths of stay and resident work effort (Defects). There is no shortage of opportunities for improving the efficiency of the inpatient educational environment, but it requires that the systems architect is sufficiently familiar with the system to design interventions that are meaningful and effective. This is the unique advantage of the hospitalist.

But the greatest risk to inpatient medical education is yet to come, and it may be on the hospitalist's shoulders to reverse a dangerous trend. With the advent of more extensive electronic medical records, the locus of patient care has begun to shift from the bedside to a computer terminal. An unbridled drive to efficiency, without a steward to ensure the primacy of patient‐centered care, is likely to inspire the next generation of physicians to see Mr. A. Huxley as the i‐Patient, in which the entirety of his management is conducted from the safety of a computer terminal.7 Despite the need for efficiency, the patient has to remain the focal point. It is at the bedside that the resident learns that observing 5 bags of potato chips on the nightstand might obviate a million‐dollar workup for refractory hypertension. And it is at the bedside that the resident learns that despite our elaborate protocols and decision analyses, the ultimate testing and management decisions hinge upon the patient's preferences. The single best thing than can be done to augment patient safety and quality is to maximize the time the patient spends with his healthcare team; and the hospitalist, who is not in a rush to complete morning rounds in an effort to get to a clinic or an endoscopy suite, may be the person who has the time to prioritize bedside rounds as a part of the educational environment.

The article by Nazario8 establishes the urgency of integrating the humanities into patient management. For meaningful humanities instruction to occur, however, it has to occur at the bedside, not in the classroom. And this requires that the supervising physician has the time to reflect with the resident upon the humanism issues that are unique to each patient encounter. Once again, it is time that enables the luxury of this self‐reflection, a commodity that the hospitalist enjoys as a part of her job description. It is also a commodity that the hospitalist can generate by augmenting efficiency in the educational system, provided patient‐centered care remains the priority.

The role of the hospitalist has to be much more than merely patching the current paradigm of graduate medical education. Overseeing nonteaching services and serving as the night float physician are examples of these patches. While valuable, these roles are useful only in preserving production of the current system, not in enabling production capacity for the next generation of physicians. Continuing in this role without also becoming an active part of the teaching service sends a message to residents that a career as a hospitalist in a teaching environment is only to be a fourth‐year or fifth‐year resident. Why would any resident embark upon that career? Meeting the demand for 30,000 hospitalists by 2012 requires a pipeline of physicians, and answering this question will be central to achieving that goal. Residents must have hospitalist role models, occupying careers devoted to patient safety and quality; careers that are meaningful and fulfilling.

To this end, the hospital medicine community cannot be satisfied with being no worse than other specialists in medical education. As Natarajan et al.3 point out, the evaluation of inpatient medical education has, with few exceptions, been solely based upon learner's subjective opinions. Meaningful change in the educational system will require meaningful objective endpoints: participation in the quality improvement projects; patient‐centered evaluations of resident performance; end‐user evaluations of resident communication skills (clinic physicians, nurses, other services); metrics to assess the efficacy of the transition of care; and resident profiles that enable self‐assessment of their practice. It will be up to the hospitalist to assess the system to define these meaningful endpoints that ensure that inpatient education is advancing quality, safety, and patient‐centered care.

Despite all of the reasons for why hospitalists should be more involved in the teaching service, there remains the 1 reason that they are not: hospitalists on average are young, and they may not have the teaching skills that more experienced generalists or subspecialists possess. To bring about the benefits hospitalists can offer to the inpatient education environment, hospitalists must be willing to compensate for their lack of teaching experience by seeking out formal training courses in medical education. The Academic Hospitalist Academy cosponsored by the Society of Hospital Medicine (SHM), the Society of General Internal Medicine (SGIM), and the Association of Chiefs of General Internal Medicine (ACGIM) is 1 example.9

As experience is accumulated, more hospitalists have to actively seek out leadership positions in graduate medical education, aligning our strengths, in patient safety, efficiency, and systems change, with the goals and objectives of the residency and student programs. The fact that 73% of residency training programs utilize hospitalists is exciting; the fact that there are only 15 hospitalists as program directors is disappointing.2 As was the case in the clinical care environment, leadership will be just as important in the education environment, as it is important for enacting the changes that will transform the inpatient education environment to a system that is efficient, safe, and patient‐centered.

Hospitalists have been effective in their production, augmenting efficiency and quality of patient care. But the reality is that the task of ensuring value, as it pertains to patient safety and quality, is too onerous of a task to be accomplished with arithmetic gains. Generations of physicians will have to adopt a cultural change to reach the ultimate goal. It is of little consequence that we improve safety for a moment in time, only to have it fall by the wayside as successive generations of physicians take our place. Now is the time for hospitalists to fully embrace the inpatient education environment as our responsibility. Too much time has already been wasted in arguing against duty‐hours regulations. These regulations are now here to stay, and this has created a system that is currently unable to handle the strains of multiple demands. Only by using the hospitalist's expertise in systems improvements and efficiency will a new inpatient educational system evolve; one that is efficient, safe, and patient‐focused, thus ensuring current production. And also one that enables meaningful development of communication, practice‐based learning, and systems‐of‐care skills, ensuring our production capacity for years to come.

References
  1. Conway PH.Value‐driven health care: implications for hospitals and hospitalists.J Hosp Med.2009;4(8):507511.
  2. Beasley BW, McBride J, McDonald FS.Hospitalists involvement in internal medicine residencies.J Hosp Med.2009;4(8):471475.
  3. Natarajan P, Ranji S, Auerbach A, Hauer K.Effect of hospitalist attending physicians on trainee educational experiences: a systematic review.J Hosp Med.2009;4(8):490498.
  4. Accreditation Council for Graduate Medical Education (ACGME). Internal Medicine Program Requirements. Available at: http://www.acgme.org/acWebsite/RRC_140/140_prIndex.asp. Accessed August2009.
  5. Mazotti LA, Vidyarthi AR, Wachter RM, Auerbach AD, Katz PP.Impact of duty hour restriction on resident inpatient teaching.J Hosp Med.2009;4(8):476480.
  6. Ohno T.Just‐In‐Time for Today and Tomorrow.New York, NY:Productivity Press;1988.
  7. Verghese A.Culture shock: patient as icon, icon as patient.N Engl J Med.2008;359:27482751.
  8. Nazario R.The Medical humanities as tools for the teaching of patient‐centered care.J Hosp Med.2009;4(8):512514.
  9. Society of General Internal Medicine (SGIM). The Academic Hospitalist Academy. Available at: http://www.sgim.org/index.cfm?pageId=815. Accessed August2009.
Article PDF
Issue
Journal of Hospital Medicine - 4(8)
Page Number
460-462
Sections
Article PDF
Article PDF

Maintaining a balance between productivity (what we do now), and production capacity (the ability to continue to do what we now do in the future) is one of the central tenets of successful organizations and societies. The economic benefits of industrialization (production) must be balanced with the needs of the environment (production capacity). It is appropriate then, that this issue of The Journal of Hospital Medicine juxtaposes Conway's1 article on hospitalists' current production of ensuring value, with articles addressing medical education, our production capacity.

What is the role of hospitalists in medical education? The article by Beasley et al.,2 confirms what has long been suspected: the growth of hospitalists in medical education has paralleled the growth of the movement as a whole. The meta‐analysis by Natarajan et al.3 further suggests that hospitalists are at the very least no worse in medical education than other specialists, and in some domains, may be superior. The theoretical fears of hospitalists as medical educators have not been borne out: utilizing hospitalists as educators does not lead to a decline in resident autonomy, nor does it lead to a decline in educational ability. But despite the fact that 73% of residency training programs utilize hospitalists, there are several reasons why the hospitalists' role in inpatient medical education should be even more robust.

The landscape of graduate medical education has dramatically changed in the past 10 years. The knowledge‐only paradigm has evolved to a comprehensive focus on the trainee's overall performance, including understanding the healthcare system in which she works (systems of care), self‐reflection on her practice (practice‐based learning), and an augmented emphasis on professionalism and interpersonal skills.4 Unfortunately, many systems have not undergone a similar paradigm change, opting instead to merely rearrange components of the old knowledge‐focused system. For example, practice‐based learning may remain relegated to journal clubs, where the focus is on the knowledge contained in the chosen article, instead of active exercises in which the resident self‐reflects on his patient care performance and seeks ways to improve that performance. Instruction in systems‐of‐care may remain within a knowledge‐only paradigm: a didactic lecture on Medicare/Medicaid and reimbursement instead of residents actively participating in quality improvement projects.

The article by Mazotti et al.,5 provides insight into the reason for this developmental arrest: there isn't enough time in the old system. The duty‐hours have decreased for residents, but since the work product has remained the same, the result has been an increase in work intensity. As work intensity increases, production capacity (medical education) is the first to be sacrificed in an effort to maintain production (getting the work done).

Here is the yet unrealized role of the hospitalist. The same degree of systems reengineering that brought about improved efficiency in patient care (shorter lengths of stay, fewer readmissions), must be applied to the inpatient education system if duty hours, a reasonable work intensity, and meaningful education in each of the core competencies are to coexist. But there is no panacea for these issues: each system is unique, and the solutions to improving the efficiency of the inpatient education environment are just as unique. Solutions require a systems architect (ie, the hospitalist) to redesign the educational environment in his particular system. It is natural to assume that the hospitalist educator, familiar with the strengths and weakness of the educational system in which he routinely works, will be best equipped to enact meaningful solutions that improve efficiency while protecting the principles of medical education.

What does it mean to change the educational system? Taiichi Ohno,6 Toyota's Chief Engineer, provides Seven Organizational Wastes, a framework for identifying areas of improvement in the educational work environment. Consider, for example, the following selected opportunities for improving the efficiency of the inpatient medical education system: (1) excessive testing or consultation leading to delayed discharge and more resident work effort (Overproduction); (2) the resident team waiting for the attending to arrive from a procedure or clinic (Waiting); (3) inadequate teaching about the principles of transitions of care, resulting in more readmissions to the teaching service (Transporting); (4) failure to have quality improvement conferences to discuss the appropriateness of admissions (Inappropriate processing); (5) failure to teach residents how to work with social work/placement services to facilitate early discharge (Unnecessary inventory); (6) failure to construct a training program that limits fragmentation, with residents moving from 1 task to the next and back again (Unnecessary motion); and (7) medical errors resulting in prolonged lengths of stay and resident work effort (Defects). There is no shortage of opportunities for improving the efficiency of the inpatient educational environment, but it requires that the systems architect is sufficiently familiar with the system to design interventions that are meaningful and effective. This is the unique advantage of the hospitalist.

But the greatest risk to inpatient medical education is yet to come, and it may be on the hospitalist's shoulders to reverse a dangerous trend. With the advent of more extensive electronic medical records, the locus of patient care has begun to shift from the bedside to a computer terminal. An unbridled drive to efficiency, without a steward to ensure the primacy of patient‐centered care, is likely to inspire the next generation of physicians to see Mr. A. Huxley as the i‐Patient, in which the entirety of his management is conducted from the safety of a computer terminal.7 Despite the need for efficiency, the patient has to remain the focal point. It is at the bedside that the resident learns that observing 5 bags of potato chips on the nightstand might obviate a million‐dollar workup for refractory hypertension. And it is at the bedside that the resident learns that despite our elaborate protocols and decision analyses, the ultimate testing and management decisions hinge upon the patient's preferences. The single best thing than can be done to augment patient safety and quality is to maximize the time the patient spends with his healthcare team; and the hospitalist, who is not in a rush to complete morning rounds in an effort to get to a clinic or an endoscopy suite, may be the person who has the time to prioritize bedside rounds as a part of the educational environment.

The article by Nazario8 establishes the urgency of integrating the humanities into patient management. For meaningful humanities instruction to occur, however, it has to occur at the bedside, not in the classroom. And this requires that the supervising physician has the time to reflect with the resident upon the humanism issues that are unique to each patient encounter. Once again, it is time that enables the luxury of this self‐reflection, a commodity that the hospitalist enjoys as a part of her job description. It is also a commodity that the hospitalist can generate by augmenting efficiency in the educational system, provided patient‐centered care remains the priority.

The role of the hospitalist has to be much more than merely patching the current paradigm of graduate medical education. Overseeing nonteaching services and serving as the night float physician are examples of these patches. While valuable, these roles are useful only in preserving production of the current system, not in enabling production capacity for the next generation of physicians. Continuing in this role without also becoming an active part of the teaching service sends a message to residents that a career as a hospitalist in a teaching environment is only to be a fourth‐year or fifth‐year resident. Why would any resident embark upon that career? Meeting the demand for 30,000 hospitalists by 2012 requires a pipeline of physicians, and answering this question will be central to achieving that goal. Residents must have hospitalist role models, occupying careers devoted to patient safety and quality; careers that are meaningful and fulfilling.

To this end, the hospital medicine community cannot be satisfied with being no worse than other specialists in medical education. As Natarajan et al.3 point out, the evaluation of inpatient medical education has, with few exceptions, been solely based upon learner's subjective opinions. Meaningful change in the educational system will require meaningful objective endpoints: participation in the quality improvement projects; patient‐centered evaluations of resident performance; end‐user evaluations of resident communication skills (clinic physicians, nurses, other services); metrics to assess the efficacy of the transition of care; and resident profiles that enable self‐assessment of their practice. It will be up to the hospitalist to assess the system to define these meaningful endpoints that ensure that inpatient education is advancing quality, safety, and patient‐centered care.

Despite all of the reasons for why hospitalists should be more involved in the teaching service, there remains the 1 reason that they are not: hospitalists on average are young, and they may not have the teaching skills that more experienced generalists or subspecialists possess. To bring about the benefits hospitalists can offer to the inpatient education environment, hospitalists must be willing to compensate for their lack of teaching experience by seeking out formal training courses in medical education. The Academic Hospitalist Academy cosponsored by the Society of Hospital Medicine (SHM), the Society of General Internal Medicine (SGIM), and the Association of Chiefs of General Internal Medicine (ACGIM) is 1 example.9

As experience is accumulated, more hospitalists have to actively seek out leadership positions in graduate medical education, aligning our strengths, in patient safety, efficiency, and systems change, with the goals and objectives of the residency and student programs. The fact that 73% of residency training programs utilize hospitalists is exciting; the fact that there are only 15 hospitalists as program directors is disappointing.2 As was the case in the clinical care environment, leadership will be just as important in the education environment, as it is important for enacting the changes that will transform the inpatient education environment to a system that is efficient, safe, and patient‐centered.

Hospitalists have been effective in their production, augmenting efficiency and quality of patient care. But the reality is that the task of ensuring value, as it pertains to patient safety and quality, is too onerous of a task to be accomplished with arithmetic gains. Generations of physicians will have to adopt a cultural change to reach the ultimate goal. It is of little consequence that we improve safety for a moment in time, only to have it fall by the wayside as successive generations of physicians take our place. Now is the time for hospitalists to fully embrace the inpatient education environment as our responsibility. Too much time has already been wasted in arguing against duty‐hours regulations. These regulations are now here to stay, and this has created a system that is currently unable to handle the strains of multiple demands. Only by using the hospitalist's expertise in systems improvements and efficiency will a new inpatient educational system evolve; one that is efficient, safe, and patient‐focused, thus ensuring current production. And also one that enables meaningful development of communication, practice‐based learning, and systems‐of‐care skills, ensuring our production capacity for years to come.

Maintaining a balance between productivity (what we do now), and production capacity (the ability to continue to do what we now do in the future) is one of the central tenets of successful organizations and societies. The economic benefits of industrialization (production) must be balanced with the needs of the environment (production capacity). It is appropriate then, that this issue of The Journal of Hospital Medicine juxtaposes Conway's1 article on hospitalists' current production of ensuring value, with articles addressing medical education, our production capacity.

What is the role of hospitalists in medical education? The article by Beasley et al.,2 confirms what has long been suspected: the growth of hospitalists in medical education has paralleled the growth of the movement as a whole. The meta‐analysis by Natarajan et al.3 further suggests that hospitalists are at the very least no worse in medical education than other specialists, and in some domains, may be superior. The theoretical fears of hospitalists as medical educators have not been borne out: utilizing hospitalists as educators does not lead to a decline in resident autonomy, nor does it lead to a decline in educational ability. But despite the fact that 73% of residency training programs utilize hospitalists, there are several reasons why the hospitalists' role in inpatient medical education should be even more robust.

The landscape of graduate medical education has dramatically changed in the past 10 years. The knowledge‐only paradigm has evolved to a comprehensive focus on the trainee's overall performance, including understanding the healthcare system in which she works (systems of care), self‐reflection on her practice (practice‐based learning), and an augmented emphasis on professionalism and interpersonal skills.4 Unfortunately, many systems have not undergone a similar paradigm change, opting instead to merely rearrange components of the old knowledge‐focused system. For example, practice‐based learning may remain relegated to journal clubs, where the focus is on the knowledge contained in the chosen article, instead of active exercises in which the resident self‐reflects on his patient care performance and seeks ways to improve that performance. Instruction in systems‐of‐care may remain within a knowledge‐only paradigm: a didactic lecture on Medicare/Medicaid and reimbursement instead of residents actively participating in quality improvement projects.

The article by Mazotti et al.,5 provides insight into the reason for this developmental arrest: there isn't enough time in the old system. The duty‐hours have decreased for residents, but since the work product has remained the same, the result has been an increase in work intensity. As work intensity increases, production capacity (medical education) is the first to be sacrificed in an effort to maintain production (getting the work done).

Here is the yet unrealized role of the hospitalist. The same degree of systems reengineering that brought about improved efficiency in patient care (shorter lengths of stay, fewer readmissions), must be applied to the inpatient education system if duty hours, a reasonable work intensity, and meaningful education in each of the core competencies are to coexist. But there is no panacea for these issues: each system is unique, and the solutions to improving the efficiency of the inpatient education environment are just as unique. Solutions require a systems architect (ie, the hospitalist) to redesign the educational environment in his particular system. It is natural to assume that the hospitalist educator, familiar with the strengths and weakness of the educational system in which he routinely works, will be best equipped to enact meaningful solutions that improve efficiency while protecting the principles of medical education.

What does it mean to change the educational system? Taiichi Ohno,6 Toyota's Chief Engineer, provides Seven Organizational Wastes, a framework for identifying areas of improvement in the educational work environment. Consider, for example, the following selected opportunities for improving the efficiency of the inpatient medical education system: (1) excessive testing or consultation leading to delayed discharge and more resident work effort (Overproduction); (2) the resident team waiting for the attending to arrive from a procedure or clinic (Waiting); (3) inadequate teaching about the principles of transitions of care, resulting in more readmissions to the teaching service (Transporting); (4) failure to have quality improvement conferences to discuss the appropriateness of admissions (Inappropriate processing); (5) failure to teach residents how to work with social work/placement services to facilitate early discharge (Unnecessary inventory); (6) failure to construct a training program that limits fragmentation, with residents moving from 1 task to the next and back again (Unnecessary motion); and (7) medical errors resulting in prolonged lengths of stay and resident work effort (Defects). There is no shortage of opportunities for improving the efficiency of the inpatient educational environment, but it requires that the systems architect is sufficiently familiar with the system to design interventions that are meaningful and effective. This is the unique advantage of the hospitalist.

But the greatest risk to inpatient medical education is yet to come, and it may be on the hospitalist's shoulders to reverse a dangerous trend. With the advent of more extensive electronic medical records, the locus of patient care has begun to shift from the bedside to a computer terminal. An unbridled drive to efficiency, without a steward to ensure the primacy of patient‐centered care, is likely to inspire the next generation of physicians to see Mr. A. Huxley as the i‐Patient, in which the entirety of his management is conducted from the safety of a computer terminal.7 Despite the need for efficiency, the patient has to remain the focal point. It is at the bedside that the resident learns that observing 5 bags of potato chips on the nightstand might obviate a million‐dollar workup for refractory hypertension. And it is at the bedside that the resident learns that despite our elaborate protocols and decision analyses, the ultimate testing and management decisions hinge upon the patient's preferences. The single best thing than can be done to augment patient safety and quality is to maximize the time the patient spends with his healthcare team; and the hospitalist, who is not in a rush to complete morning rounds in an effort to get to a clinic or an endoscopy suite, may be the person who has the time to prioritize bedside rounds as a part of the educational environment.

The article by Nazario8 establishes the urgency of integrating the humanities into patient management. For meaningful humanities instruction to occur, however, it has to occur at the bedside, not in the classroom. And this requires that the supervising physician has the time to reflect with the resident upon the humanism issues that are unique to each patient encounter. Once again, it is time that enables the luxury of this self‐reflection, a commodity that the hospitalist enjoys as a part of her job description. It is also a commodity that the hospitalist can generate by augmenting efficiency in the educational system, provided patient‐centered care remains the priority.

The role of the hospitalist has to be much more than merely patching the current paradigm of graduate medical education. Overseeing nonteaching services and serving as the night float physician are examples of these patches. While valuable, these roles are useful only in preserving production of the current system, not in enabling production capacity for the next generation of physicians. Continuing in this role without also becoming an active part of the teaching service sends a message to residents that a career as a hospitalist in a teaching environment is only to be a fourth‐year or fifth‐year resident. Why would any resident embark upon that career? Meeting the demand for 30,000 hospitalists by 2012 requires a pipeline of physicians, and answering this question will be central to achieving that goal. Residents must have hospitalist role models, occupying careers devoted to patient safety and quality; careers that are meaningful and fulfilling.

To this end, the hospital medicine community cannot be satisfied with being no worse than other specialists in medical education. As Natarajan et al.3 point out, the evaluation of inpatient medical education has, with few exceptions, been solely based upon learner's subjective opinions. Meaningful change in the educational system will require meaningful objective endpoints: participation in the quality improvement projects; patient‐centered evaluations of resident performance; end‐user evaluations of resident communication skills (clinic physicians, nurses, other services); metrics to assess the efficacy of the transition of care; and resident profiles that enable self‐assessment of their practice. It will be up to the hospitalist to assess the system to define these meaningful endpoints that ensure that inpatient education is advancing quality, safety, and patient‐centered care.

Despite all of the reasons for why hospitalists should be more involved in the teaching service, there remains the 1 reason that they are not: hospitalists on average are young, and they may not have the teaching skills that more experienced generalists or subspecialists possess. To bring about the benefits hospitalists can offer to the inpatient education environment, hospitalists must be willing to compensate for their lack of teaching experience by seeking out formal training courses in medical education. The Academic Hospitalist Academy cosponsored by the Society of Hospital Medicine (SHM), the Society of General Internal Medicine (SGIM), and the Association of Chiefs of General Internal Medicine (ACGIM) is 1 example.9

As experience is accumulated, more hospitalists have to actively seek out leadership positions in graduate medical education, aligning our strengths, in patient safety, efficiency, and systems change, with the goals and objectives of the residency and student programs. The fact that 73% of residency training programs utilize hospitalists is exciting; the fact that there are only 15 hospitalists as program directors is disappointing.2 As was the case in the clinical care environment, leadership will be just as important in the education environment, as it is important for enacting the changes that will transform the inpatient education environment to a system that is efficient, safe, and patient‐centered.

Hospitalists have been effective in their production, augmenting efficiency and quality of patient care. But the reality is that the task of ensuring value, as it pertains to patient safety and quality, is too onerous of a task to be accomplished with arithmetic gains. Generations of physicians will have to adopt a cultural change to reach the ultimate goal. It is of little consequence that we improve safety for a moment in time, only to have it fall by the wayside as successive generations of physicians take our place. Now is the time for hospitalists to fully embrace the inpatient education environment as our responsibility. Too much time has already been wasted in arguing against duty‐hours regulations. These regulations are now here to stay, and this has created a system that is currently unable to handle the strains of multiple demands. Only by using the hospitalist's expertise in systems improvements and efficiency will a new inpatient educational system evolve; one that is efficient, safe, and patient‐focused, thus ensuring current production. And also one that enables meaningful development of communication, practice‐based learning, and systems‐of‐care skills, ensuring our production capacity for years to come.

References
  1. Conway PH.Value‐driven health care: implications for hospitals and hospitalists.J Hosp Med.2009;4(8):507511.
  2. Beasley BW, McBride J, McDonald FS.Hospitalists involvement in internal medicine residencies.J Hosp Med.2009;4(8):471475.
  3. Natarajan P, Ranji S, Auerbach A, Hauer K.Effect of hospitalist attending physicians on trainee educational experiences: a systematic review.J Hosp Med.2009;4(8):490498.
  4. Accreditation Council for Graduate Medical Education (ACGME). Internal Medicine Program Requirements. Available at: http://www.acgme.org/acWebsite/RRC_140/140_prIndex.asp. Accessed August2009.
  5. Mazotti LA, Vidyarthi AR, Wachter RM, Auerbach AD, Katz PP.Impact of duty hour restriction on resident inpatient teaching.J Hosp Med.2009;4(8):476480.
  6. Ohno T.Just‐In‐Time for Today and Tomorrow.New York, NY:Productivity Press;1988.
  7. Verghese A.Culture shock: patient as icon, icon as patient.N Engl J Med.2008;359:27482751.
  8. Nazario R.The Medical humanities as tools for the teaching of patient‐centered care.J Hosp Med.2009;4(8):512514.
  9. Society of General Internal Medicine (SGIM). The Academic Hospitalist Academy. Available at: http://www.sgim.org/index.cfm?pageId=815. Accessed August2009.
References
  1. Conway PH.Value‐driven health care: implications for hospitals and hospitalists.J Hosp Med.2009;4(8):507511.
  2. Beasley BW, McBride J, McDonald FS.Hospitalists involvement in internal medicine residencies.J Hosp Med.2009;4(8):471475.
  3. Natarajan P, Ranji S, Auerbach A, Hauer K.Effect of hospitalist attending physicians on trainee educational experiences: a systematic review.J Hosp Med.2009;4(8):490498.
  4. Accreditation Council for Graduate Medical Education (ACGME). Internal Medicine Program Requirements. Available at: http://www.acgme.org/acWebsite/RRC_140/140_prIndex.asp. Accessed August2009.
  5. Mazotti LA, Vidyarthi AR, Wachter RM, Auerbach AD, Katz PP.Impact of duty hour restriction on resident inpatient teaching.J Hosp Med.2009;4(8):476480.
  6. Ohno T.Just‐In‐Time for Today and Tomorrow.New York, NY:Productivity Press;1988.
  7. Verghese A.Culture shock: patient as icon, icon as patient.N Engl J Med.2008;359:27482751.
  8. Nazario R.The Medical humanities as tools for the teaching of patient‐centered care.J Hosp Med.2009;4(8):512514.
  9. Society of General Internal Medicine (SGIM). The Academic Hospitalist Academy. Available at: http://www.sgim.org/index.cfm?pageId=815. Accessed August2009.
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Consultation Improvement Teaching Module

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A case‐based teaching module combined with audit and feedback to improve the quality of consultations

An important role of the internist is that of inpatient medical consultant.13 As consultants, internists make recommendations regarding the patient's medical care and help the primary team to care for the patient. This requires familiarity with the body of knowledge of consultative medicine, as well as process skills that relate to working with teams of providers.1, 4, 5 For some physicians, the knowledge and skills of medical consultation are acquired during residency; however, many internists feel inadequately prepared for their roles of consultants.68 Because no specific requirements for medical consultation curricula during graduate medical education have been set forth, internists and other physicians do not receive uniform or comprehensive training in this area.3, 57, 9 Although internal medicine residents may gain experience while performing consultations on subspecialty rotations (eg, cardiology), the teaching on these blocks tends to be focused on the specialty content and less so on consultative principles.1, 4

As inpatient care is increasingly being taken over by hospitalists, the role of the hospitalist has expanded to include medical consultation. It is estimated that 92% of hospitalists care for patients on medical consultation services.8 The Society of Hospital Medicine (SHM) has also included medical consultation as one of the core competencies of the hospitalist.2 Therefore, it is essential that hospitalists master the knowledge and skills that are required to serve as effective consultants.10, 11

An educational strategy that has been shown to be effective in improving medical practice is audit and feedback.1215 Providing physicians with feedback on their clinical practice has been shown to improve performance more so than other educational methods.12 Practice‐based learning and improvement (PBLI) utilizes this strategy and it has become one of the core competencies stressed by the Accreditation Council for Graduate Medical Education (ACGME). It involves analyzing one's patient care practices in order to identify areas for improvement. In this study, we tested the impact of a newly developed one‐on‐one medical consultation educational module that was combined with audit and feedback in an attempt to improve the quality of the consultations being performed by our hospitalists.

Materials and Methods

Study Design and Setting

This single group pre‐post educational intervention study took place at Johns Hopkins Bayview Medical Center (JHBMC), a 353‐bed university‐affiliated tertiary care medical center in Baltimore, MD, during the 2006‐2007 academic year.

Study Subjects

All 7 members of the hospitalist group at JHBMC who were serving on the medical consultation service during the study period participated. The internal medicine residents who elected to rotate on the consultation service during the study period were also exposed to the case‐based module component of the intervention.

Intervention

The educational intervention was delivered as a one‐on‐one session and lasted approximately 1 hour. The time was spent on the following activities:

  • A true‐false pretest to assess knowledge based on clinical scenarios (Appendix 1).

  • A case‐based module emphasizing the core principles of consultative medicine.16 The module was purposively designed to teach and stimulate thought around 3 complex general medical consultations. These cases are followed by questions about scenarios. The cases specifically address the role of medical consultant and the ways to be most effective in this role based on the recommendations of experts in the field.1, 10 Additional details about the content and format can be viewed at http://www.jhcme.com/site.16 As the physician was working through the teaching cases, the teacher would facilitate discussion around wrong answers and issues that the learner wanted to discuss.

  • The true‐false test to assess knowledge was once again administered (the posttest was identical to the pretest).

  • For the hospitalist faculty members only (and not the residents), audit and feedback was utilized. The physician was shown 2 of his/her most recent consults and was asked to reflect upon the strengths and weaknesses of the consult. The hospitalist was explicitly asked to critique them in light of the knowledge they gained from the consultation module. The teacher also gave specific feedback, both positive and negative, about the written consultations with attention directed specifically toward: the number of recommendations, the specificity of the guidance (eg, exact dosing of medications), clear documentation of their name and contact information, and documentation that the suggestions were verbally passed on to the primary team.

 

Evaluation Data

Learner knowledge, both at baseline and after the case‐based module, was assessed using a written test.

Consultations performed before and after the intervention were compared. Copies of up to 5 consults done by each hospitalist during the year before or after the educational intervention were collected. Identifiers and dates were removed from the consults so that scorers did not know whether the consults were preintervention or postintervention. Consults were scored out of a possible total of 4 to 6 pointsdepending on whether specific elements were applicable. One point was given for each of the following: (1) number of recommendations 5; (2) specific details for all drugs listed [if applicable]; (3) specific details for imaging studies suggested [if applicable]; (4) specific follow‐up documented; (5) consultant's name being clearly written; and (6) verbal contact with the referring team documented. These 6 elements were included based on expert recommendation.10 All consults were scored by 2 hospitalists independently. Disagreements in scores were infrequent (on <10% of the 48 consults scored) and these were only off by 1 point for the overall score. The disagreements were settled by discussion and consensus. All consult scores were converted to a score out of 5, to allow comparisons to be made.

Following the intervention, each participant completed an overall assessment of the educational experience.

Data Analysis

We examined the frequency of responses for each variable and reviewed the distributions. The knowledge scores on the written pretests were not normally distributed and therefore when making comparisons to the posttest, we used the Wilcoxon rank signed test. In comparing the performance scores on the consults across the 2 time periods, we compared the results with both Wilcoxon rank signed test and paired t tests. Because the results were equivalent with both tests, the means from the t tests are shown. Data were analyzed using STATA version 8 (Stata Corp., College Station, TX).

Results

Study Subjects

Among the 14 hospitalist faculty members who were on staff during the study period, 7 were performing medical consults and therefore participated in the study. The 7 faculty members had a mean age of 35 years; 5 (71%) were female, and 5 (71%) were board‐certified in Internal Medicine. The average elapsed time since completion of residency was 5.1 years and average number of years practicing as a hospitalist was 3.8 years (Table 1).

Characteristics of the Faculty Members and House Officers Who Participated in the Study
Faculty (n = 7) 
Age in years, mean (SD)35.57 (5.1)
Female, n (%)5 (71%)
Board certified, n (%)5 (71%)
Years since completion of residency, mean (SD)5.1 (4.4)
Number of years in practice, mean (SD)3.8 (2.9)
Weeks spent in medical consult rotation, mean (SD)3.7 (0.8)
Have read consultation books, n (%)5 (71%)
Housestaff (n = 11) 
Age in years, mean (SD)29.1 (1.8)
Female, n (%)7 (64%)
Residency year, n (%) 
PGY10 (0%)
PGY22 (20%)
PGY37 (70%)
PGY41 (10%)
Weeks spent in medical consult rotation, mean (SD)1.5 (0.85)
Have read consultation books, n (%)5 (50%)

There were 12 house‐staff members who were on their medical consultation rotation during the study period and were exposed to the intervention. Of the 12 house‐staff members, 11 provided demographic information. Characteristics of the 11 house‐staff participants are also shown in Table 1.

Premodule vs. Postmodule Knowledge Assessment

Both faculty and house‐staff performed very well on the true/false pretest. The small changes in the median scores from pretest to posttest did not change significantly for the faculty (pretest: 11/14, posttest: 12/14; P = 0.08), but did reach statistical significance for the house‐staff (pretest: 10/14, posttest: 12/14; P = 0.03).

Audit and Feedback

Of the 7 faculty who participated in the study, 6 performed consults both before and after the intervention. Using the consult scoring system, the scores for all 6 physicians' consults improved after the intervention compared to their earlier consults (Table 2). For 1 faculty member, the consult scores were statistically significantly higher after the intervention (P = 0.017). When all consults completed by the hospitalists were compared before and after the training, there was statistically significant improvement in consult scores (P < 0.001) (Table 2).

Comparisons of Scores for the Consultations Performed Before and After the Intervention
 Preintervention (n =27)Postintervention (n = 21) 
ConsultantScores*MeanScores*MeanP value
  • Total possible score = 5.

  • P value obtained using t test. Significance of results was equivalent when analyzed using the Wilcoxon ranked sign test.

A2, 3, 3.75, 3, 2.52.83, 3, 3, 4, 43.40.093
B3, 3, 3, 3, 12.64, 3, 3, 2.53.10.18
C2, 1.671.84, 2, 33.00.11
D4, 2.5, 3.75, 2.5, 3.753.33.75, 33.40.45
E2, 3, 1, 2, 22.03, 3, 3.753.30.017
F3, 3.75, 2.5, 4, 23.12, 3.75, 4, 43.30.27
All 2.7 3.30.0006

Satisfaction with Consultation Curricula

All faculty and house‐staff participants felt that the intervention had an impact on them (19/19, 100%). Eighteen out of 19 participants (95%) would recommend the educational session to colleagues. After participating, 82% of learners felt confident in performing medical consultations. With respect to the audit and feedback process of reviewing their previously performed consultations, all physicians claimed that their written consultation notes would change in the future.

Discussion

This curricular intervention using a case‐based module combined with audit and feedback appears to have resulted not only in improved knowledge, but also changed physician behavior in the form of higher‐quality written consultations. The teaching sessions were also well received and valued by busy hospitalists.

A review of randomized trials of audit and feedback12 revealed that this strategy is effective in improving professional practice in a variety of areas, including laboratory overutilization,13, 14 clinical practice guideline adherence,15, 17 and antibiotic utilization.13 In 1 study, internal medicine specialists audited their consultation letters and most believed that there had been lasting improvements to their notes.18 However, this study did not objectively compare the consultation letters from before audit and feedback to those written afterward but instead relied solely on the respondents' self‐assessment. It is known that many residents and recent graduates of internal medicine programs feel inadequately prepared in the role of consultant.6, 8 This work describes a curricular intervention that served to augment confidence, knowledge, and actual performance in consultation medicine of physicians. Goldman et al.'s10 Ten Commandments for Effective Consultations, which were later modified by Salerno et al.,11 were highlighted in our case‐based teachings: determine the question being asked or how you can help the requesting physician, establish the urgency of the consultation, gather primary data, be as brief as appropriate in your report, provide specific recommendations, provide contingency plans and discuss their execution, define your role in conjunction with the requesting physician, offer educational information, communicate recommendations directly to the requesting physician, and provide daily follow‐up. These tenets informed the development of the consultation scoring system that was used to assess the quality of the written consultations produced by our consultant hospitalists.

Audit and feedback is similar to PBLI, one of the ACGME core competencies for residency training. Both attempt to engage individuals by having them analyze their patient care practices, looking critically to: (1) identify areas needing improvement, and (2) consider strategies that can be implemented to enhance clinical performance. We now show that consultative medicine is an area that appears to be responsive to a mixed methodological educational intervention that includes audit and feedback.

Faculty and house‐staff knowledge of consultative medicine was assessed both before and after the case‐based educational module. Both groups scored very highly on the true/false pretest, suggesting either that their knowledge was excellent at baseline or the test was not sufficiently challenging. If their knowledge was truly very high, then the intervention need not have focused on improving knowledge. It is our interpretation that the true/false knowledge assessment was not challenging enough and therefore failed to comprehensively characterize their knowledge of consultative medicine.

Several limitations of this study should be considered. First, the sample size was small, including only 7 faculty and 12 house‐staff members. However, these numbers were sufficient to show statistically significant overall improvements in both knowledge and on the consultation scores. Second, few consultations were performed by each faculty member, ranging from 2 to 5, before and after the intervention. This may explain why only 1 out of 6 faculty members showed statistically significant improvement in the quality of consults after the intervention. Third, the true/false format of the knowledge tests allowed the subjects to score very high on the pretest, thereby making it difficult to detect knowledge gained after the intervention. Fourth, the scale used to evaluate consults has not been previously validated. The elements assessed by this scale were decided upon based on guidance from the literature10 and the authors' expertise, thereby affording it content validity evidence.19 The recommendations that guided the scale's development have been shown to improve compliance with the recommendations put forth by the consultant.1, 11 Internal structure validity evidence was conferred by the high level of agreement in scores between the independent raters. Relation to other variables validity evidence may be considered because doctors D and F scored highest on this scale and they are the 2 physicians most experienced in consult medicine. Finally, the educational intervention was time‐intensive for both learners and teacher. It consisted of a 1 hour‐long one‐on‐one session. This can be difficult to incorporate into a busy hospitalist program. The intervention can be made more efficient by having learners take the web‐based module online independently, and then meeting with the teacher for the audit and feedback component.

This consult medicine curricular intervention involving audit and feedback was beneficial to hospitalists and resulted in improved consultation notes. While resource intensive, the one‐on‐one teaching session appears to have worked and resulted in outcomes that are meaningful with respect to patient care.

References
  1. Gross R, Caputo G.Kammerer and Gross' Medical Consultation: the Internist on Surgical, Obstetric, and Psychiatric Services.3rd ed.Baltimore:Williams and Wilkins;1998.
  2. Society of Hospital Medicine.Hospitalist as consultant.J Hosp Med.2006;1(S1):70.
  3. Deyo R.The internist as consultant.Arch Intern Med.1980;140:137138.
  4. Byyny R, Siegler M, Tarlov A.Development of an academic section of general internal medicine.Am J Med.1977;63(4):493498.
  5. Moore R, Kammerer W, McGlynn T, Trautlein J, Burnside J.Consultations in internal medicine: a training program resource.J Med Educ.1977;52(4):323327.
  6. Devor M, Renvall M, Ramsdell J.Practice patterns and the adequacy of residency training in consultation medicine.J Gen Intern Med.1993;8(10):554560.
  7. Bomalaski J, Martin G, Webster J.General internal medicine consultation: the last bridge.Arch Intern Med.1983;143:875876.
  8. Plauth W,Pantilat S, Wachter R, Fenton C.Hospitalists' perceptions of their residency training needs: results of a national survey.Am J Med.2001;111(3):247254.
  9. Robie P.The service and educational contributions of a general medicine consultation service.J Gen Intern Med.1986;1:225227.
  10. Goldman L, Lee T, Rudd P.Ten commandments for effective consultations.Arch Intern Med.1983;143:17531755.
  11. Salerno S, Hurst F, Halvorson S, Mercado D.Principles of effective consultation, an update for the 21st‐century consultant.Arch Intern Med.2007;167:271275.
  12. Jamtvedt G, Young J, Kristoffersen D, O'Brien M, Oxman A.Does telling people what they have been doing change what they do? A systematic review of the effects of audit and feedback.Qual Saf Health Care.2006;15:433436.
  13. Miyakis S, Karamanof G, Liontos M, Mountokalakis T.Factors contributing to inappropriate ordering of tests in an academic medical department and the effect of an educational feedback strategy.Postgrad Med J.2006;82:823829.
  14. Winkens R, Pop P, Grol R, et al.Effects of routine individual feedback over nine years on general practitioners' requests for tests.BMJ.1996;312:490.
  15. Kisuule F, Wright S, Barreto J, Zenilman J.Improving antibiotic utilization among hospitalists: a pilot academic detailing project with a public health approach.J Hosp Med.2008;3(1):6470.
  16. Feldman L, Minter‐Jordan M. The role of the medical consultant. Johns Hopkins Consultative Medicine Essentials for Hospitalists. Available at:http://www.jhcme.com/site/article.cfm?ID=8. Accessed April2009.
  17. Hysong S, Best R, Pugh J.Audit and feedback and clinical practice guideline adherence: making feedback actionable.Implement Sci.2006;1:9.
  18. Keely E, Myers K, Dojeiji S, Campbell C.Peer assessment of outpatient consultation letters—feasibility and satisfaction.BMC Med Educ.2007;7:13.
  19. Beckman TJ, Cook DA, Mandrekar JN.What is the validity evidence for assessment of clinical teaching?J Gen Intern Med.2005;20:11591164.
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An important role of the internist is that of inpatient medical consultant.13 As consultants, internists make recommendations regarding the patient's medical care and help the primary team to care for the patient. This requires familiarity with the body of knowledge of consultative medicine, as well as process skills that relate to working with teams of providers.1, 4, 5 For some physicians, the knowledge and skills of medical consultation are acquired during residency; however, many internists feel inadequately prepared for their roles of consultants.68 Because no specific requirements for medical consultation curricula during graduate medical education have been set forth, internists and other physicians do not receive uniform or comprehensive training in this area.3, 57, 9 Although internal medicine residents may gain experience while performing consultations on subspecialty rotations (eg, cardiology), the teaching on these blocks tends to be focused on the specialty content and less so on consultative principles.1, 4

As inpatient care is increasingly being taken over by hospitalists, the role of the hospitalist has expanded to include medical consultation. It is estimated that 92% of hospitalists care for patients on medical consultation services.8 The Society of Hospital Medicine (SHM) has also included medical consultation as one of the core competencies of the hospitalist.2 Therefore, it is essential that hospitalists master the knowledge and skills that are required to serve as effective consultants.10, 11

An educational strategy that has been shown to be effective in improving medical practice is audit and feedback.1215 Providing physicians with feedback on their clinical practice has been shown to improve performance more so than other educational methods.12 Practice‐based learning and improvement (PBLI) utilizes this strategy and it has become one of the core competencies stressed by the Accreditation Council for Graduate Medical Education (ACGME). It involves analyzing one's patient care practices in order to identify areas for improvement. In this study, we tested the impact of a newly developed one‐on‐one medical consultation educational module that was combined with audit and feedback in an attempt to improve the quality of the consultations being performed by our hospitalists.

Materials and Methods

Study Design and Setting

This single group pre‐post educational intervention study took place at Johns Hopkins Bayview Medical Center (JHBMC), a 353‐bed university‐affiliated tertiary care medical center in Baltimore, MD, during the 2006‐2007 academic year.

Study Subjects

All 7 members of the hospitalist group at JHBMC who were serving on the medical consultation service during the study period participated. The internal medicine residents who elected to rotate on the consultation service during the study period were also exposed to the case‐based module component of the intervention.

Intervention

The educational intervention was delivered as a one‐on‐one session and lasted approximately 1 hour. The time was spent on the following activities:

  • A true‐false pretest to assess knowledge based on clinical scenarios (Appendix 1).

  • A case‐based module emphasizing the core principles of consultative medicine.16 The module was purposively designed to teach and stimulate thought around 3 complex general medical consultations. These cases are followed by questions about scenarios. The cases specifically address the role of medical consultant and the ways to be most effective in this role based on the recommendations of experts in the field.1, 10 Additional details about the content and format can be viewed at http://www.jhcme.com/site.16 As the physician was working through the teaching cases, the teacher would facilitate discussion around wrong answers and issues that the learner wanted to discuss.

  • The true‐false test to assess knowledge was once again administered (the posttest was identical to the pretest).

  • For the hospitalist faculty members only (and not the residents), audit and feedback was utilized. The physician was shown 2 of his/her most recent consults and was asked to reflect upon the strengths and weaknesses of the consult. The hospitalist was explicitly asked to critique them in light of the knowledge they gained from the consultation module. The teacher also gave specific feedback, both positive and negative, about the written consultations with attention directed specifically toward: the number of recommendations, the specificity of the guidance (eg, exact dosing of medications), clear documentation of their name and contact information, and documentation that the suggestions were verbally passed on to the primary team.

 

Evaluation Data

Learner knowledge, both at baseline and after the case‐based module, was assessed using a written test.

Consultations performed before and after the intervention were compared. Copies of up to 5 consults done by each hospitalist during the year before or after the educational intervention were collected. Identifiers and dates were removed from the consults so that scorers did not know whether the consults were preintervention or postintervention. Consults were scored out of a possible total of 4 to 6 pointsdepending on whether specific elements were applicable. One point was given for each of the following: (1) number of recommendations 5; (2) specific details for all drugs listed [if applicable]; (3) specific details for imaging studies suggested [if applicable]; (4) specific follow‐up documented; (5) consultant's name being clearly written; and (6) verbal contact with the referring team documented. These 6 elements were included based on expert recommendation.10 All consults were scored by 2 hospitalists independently. Disagreements in scores were infrequent (on <10% of the 48 consults scored) and these were only off by 1 point for the overall score. The disagreements were settled by discussion and consensus. All consult scores were converted to a score out of 5, to allow comparisons to be made.

Following the intervention, each participant completed an overall assessment of the educational experience.

Data Analysis

We examined the frequency of responses for each variable and reviewed the distributions. The knowledge scores on the written pretests were not normally distributed and therefore when making comparisons to the posttest, we used the Wilcoxon rank signed test. In comparing the performance scores on the consults across the 2 time periods, we compared the results with both Wilcoxon rank signed test and paired t tests. Because the results were equivalent with both tests, the means from the t tests are shown. Data were analyzed using STATA version 8 (Stata Corp., College Station, TX).

Results

Study Subjects

Among the 14 hospitalist faculty members who were on staff during the study period, 7 were performing medical consults and therefore participated in the study. The 7 faculty members had a mean age of 35 years; 5 (71%) were female, and 5 (71%) were board‐certified in Internal Medicine. The average elapsed time since completion of residency was 5.1 years and average number of years practicing as a hospitalist was 3.8 years (Table 1).

Characteristics of the Faculty Members and House Officers Who Participated in the Study
Faculty (n = 7) 
Age in years, mean (SD)35.57 (5.1)
Female, n (%)5 (71%)
Board certified, n (%)5 (71%)
Years since completion of residency, mean (SD)5.1 (4.4)
Number of years in practice, mean (SD)3.8 (2.9)
Weeks spent in medical consult rotation, mean (SD)3.7 (0.8)
Have read consultation books, n (%)5 (71%)
Housestaff (n = 11) 
Age in years, mean (SD)29.1 (1.8)
Female, n (%)7 (64%)
Residency year, n (%) 
PGY10 (0%)
PGY22 (20%)
PGY37 (70%)
PGY41 (10%)
Weeks spent in medical consult rotation, mean (SD)1.5 (0.85)
Have read consultation books, n (%)5 (50%)

There were 12 house‐staff members who were on their medical consultation rotation during the study period and were exposed to the intervention. Of the 12 house‐staff members, 11 provided demographic information. Characteristics of the 11 house‐staff participants are also shown in Table 1.

Premodule vs. Postmodule Knowledge Assessment

Both faculty and house‐staff performed very well on the true/false pretest. The small changes in the median scores from pretest to posttest did not change significantly for the faculty (pretest: 11/14, posttest: 12/14; P = 0.08), but did reach statistical significance for the house‐staff (pretest: 10/14, posttest: 12/14; P = 0.03).

Audit and Feedback

Of the 7 faculty who participated in the study, 6 performed consults both before and after the intervention. Using the consult scoring system, the scores for all 6 physicians' consults improved after the intervention compared to their earlier consults (Table 2). For 1 faculty member, the consult scores were statistically significantly higher after the intervention (P = 0.017). When all consults completed by the hospitalists were compared before and after the training, there was statistically significant improvement in consult scores (P < 0.001) (Table 2).

Comparisons of Scores for the Consultations Performed Before and After the Intervention
 Preintervention (n =27)Postintervention (n = 21) 
ConsultantScores*MeanScores*MeanP value
  • Total possible score = 5.

  • P value obtained using t test. Significance of results was equivalent when analyzed using the Wilcoxon ranked sign test.

A2, 3, 3.75, 3, 2.52.83, 3, 3, 4, 43.40.093
B3, 3, 3, 3, 12.64, 3, 3, 2.53.10.18
C2, 1.671.84, 2, 33.00.11
D4, 2.5, 3.75, 2.5, 3.753.33.75, 33.40.45
E2, 3, 1, 2, 22.03, 3, 3.753.30.017
F3, 3.75, 2.5, 4, 23.12, 3.75, 4, 43.30.27
All 2.7 3.30.0006

Satisfaction with Consultation Curricula

All faculty and house‐staff participants felt that the intervention had an impact on them (19/19, 100%). Eighteen out of 19 participants (95%) would recommend the educational session to colleagues. After participating, 82% of learners felt confident in performing medical consultations. With respect to the audit and feedback process of reviewing their previously performed consultations, all physicians claimed that their written consultation notes would change in the future.

Discussion

This curricular intervention using a case‐based module combined with audit and feedback appears to have resulted not only in improved knowledge, but also changed physician behavior in the form of higher‐quality written consultations. The teaching sessions were also well received and valued by busy hospitalists.

A review of randomized trials of audit and feedback12 revealed that this strategy is effective in improving professional practice in a variety of areas, including laboratory overutilization,13, 14 clinical practice guideline adherence,15, 17 and antibiotic utilization.13 In 1 study, internal medicine specialists audited their consultation letters and most believed that there had been lasting improvements to their notes.18 However, this study did not objectively compare the consultation letters from before audit and feedback to those written afterward but instead relied solely on the respondents' self‐assessment. It is known that many residents and recent graduates of internal medicine programs feel inadequately prepared in the role of consultant.6, 8 This work describes a curricular intervention that served to augment confidence, knowledge, and actual performance in consultation medicine of physicians. Goldman et al.'s10 Ten Commandments for Effective Consultations, which were later modified by Salerno et al.,11 were highlighted in our case‐based teachings: determine the question being asked or how you can help the requesting physician, establish the urgency of the consultation, gather primary data, be as brief as appropriate in your report, provide specific recommendations, provide contingency plans and discuss their execution, define your role in conjunction with the requesting physician, offer educational information, communicate recommendations directly to the requesting physician, and provide daily follow‐up. These tenets informed the development of the consultation scoring system that was used to assess the quality of the written consultations produced by our consultant hospitalists.

Audit and feedback is similar to PBLI, one of the ACGME core competencies for residency training. Both attempt to engage individuals by having them analyze their patient care practices, looking critically to: (1) identify areas needing improvement, and (2) consider strategies that can be implemented to enhance clinical performance. We now show that consultative medicine is an area that appears to be responsive to a mixed methodological educational intervention that includes audit and feedback.

Faculty and house‐staff knowledge of consultative medicine was assessed both before and after the case‐based educational module. Both groups scored very highly on the true/false pretest, suggesting either that their knowledge was excellent at baseline or the test was not sufficiently challenging. If their knowledge was truly very high, then the intervention need not have focused on improving knowledge. It is our interpretation that the true/false knowledge assessment was not challenging enough and therefore failed to comprehensively characterize their knowledge of consultative medicine.

Several limitations of this study should be considered. First, the sample size was small, including only 7 faculty and 12 house‐staff members. However, these numbers were sufficient to show statistically significant overall improvements in both knowledge and on the consultation scores. Second, few consultations were performed by each faculty member, ranging from 2 to 5, before and after the intervention. This may explain why only 1 out of 6 faculty members showed statistically significant improvement in the quality of consults after the intervention. Third, the true/false format of the knowledge tests allowed the subjects to score very high on the pretest, thereby making it difficult to detect knowledge gained after the intervention. Fourth, the scale used to evaluate consults has not been previously validated. The elements assessed by this scale were decided upon based on guidance from the literature10 and the authors' expertise, thereby affording it content validity evidence.19 The recommendations that guided the scale's development have been shown to improve compliance with the recommendations put forth by the consultant.1, 11 Internal structure validity evidence was conferred by the high level of agreement in scores between the independent raters. Relation to other variables validity evidence may be considered because doctors D and F scored highest on this scale and they are the 2 physicians most experienced in consult medicine. Finally, the educational intervention was time‐intensive for both learners and teacher. It consisted of a 1 hour‐long one‐on‐one session. This can be difficult to incorporate into a busy hospitalist program. The intervention can be made more efficient by having learners take the web‐based module online independently, and then meeting with the teacher for the audit and feedback component.

This consult medicine curricular intervention involving audit and feedback was beneficial to hospitalists and resulted in improved consultation notes. While resource intensive, the one‐on‐one teaching session appears to have worked and resulted in outcomes that are meaningful with respect to patient care.

An important role of the internist is that of inpatient medical consultant.13 As consultants, internists make recommendations regarding the patient's medical care and help the primary team to care for the patient. This requires familiarity with the body of knowledge of consultative medicine, as well as process skills that relate to working with teams of providers.1, 4, 5 For some physicians, the knowledge and skills of medical consultation are acquired during residency; however, many internists feel inadequately prepared for their roles of consultants.68 Because no specific requirements for medical consultation curricula during graduate medical education have been set forth, internists and other physicians do not receive uniform or comprehensive training in this area.3, 57, 9 Although internal medicine residents may gain experience while performing consultations on subspecialty rotations (eg, cardiology), the teaching on these blocks tends to be focused on the specialty content and less so on consultative principles.1, 4

As inpatient care is increasingly being taken over by hospitalists, the role of the hospitalist has expanded to include medical consultation. It is estimated that 92% of hospitalists care for patients on medical consultation services.8 The Society of Hospital Medicine (SHM) has also included medical consultation as one of the core competencies of the hospitalist.2 Therefore, it is essential that hospitalists master the knowledge and skills that are required to serve as effective consultants.10, 11

An educational strategy that has been shown to be effective in improving medical practice is audit and feedback.1215 Providing physicians with feedback on their clinical practice has been shown to improve performance more so than other educational methods.12 Practice‐based learning and improvement (PBLI) utilizes this strategy and it has become one of the core competencies stressed by the Accreditation Council for Graduate Medical Education (ACGME). It involves analyzing one's patient care practices in order to identify areas for improvement. In this study, we tested the impact of a newly developed one‐on‐one medical consultation educational module that was combined with audit and feedback in an attempt to improve the quality of the consultations being performed by our hospitalists.

Materials and Methods

Study Design and Setting

This single group pre‐post educational intervention study took place at Johns Hopkins Bayview Medical Center (JHBMC), a 353‐bed university‐affiliated tertiary care medical center in Baltimore, MD, during the 2006‐2007 academic year.

Study Subjects

All 7 members of the hospitalist group at JHBMC who were serving on the medical consultation service during the study period participated. The internal medicine residents who elected to rotate on the consultation service during the study period were also exposed to the case‐based module component of the intervention.

Intervention

The educational intervention was delivered as a one‐on‐one session and lasted approximately 1 hour. The time was spent on the following activities:

  • A true‐false pretest to assess knowledge based on clinical scenarios (Appendix 1).

  • A case‐based module emphasizing the core principles of consultative medicine.16 The module was purposively designed to teach and stimulate thought around 3 complex general medical consultations. These cases are followed by questions about scenarios. The cases specifically address the role of medical consultant and the ways to be most effective in this role based on the recommendations of experts in the field.1, 10 Additional details about the content and format can be viewed at http://www.jhcme.com/site.16 As the physician was working through the teaching cases, the teacher would facilitate discussion around wrong answers and issues that the learner wanted to discuss.

  • The true‐false test to assess knowledge was once again administered (the posttest was identical to the pretest).

  • For the hospitalist faculty members only (and not the residents), audit and feedback was utilized. The physician was shown 2 of his/her most recent consults and was asked to reflect upon the strengths and weaknesses of the consult. The hospitalist was explicitly asked to critique them in light of the knowledge they gained from the consultation module. The teacher also gave specific feedback, both positive and negative, about the written consultations with attention directed specifically toward: the number of recommendations, the specificity of the guidance (eg, exact dosing of medications), clear documentation of their name and contact information, and documentation that the suggestions were verbally passed on to the primary team.

 

Evaluation Data

Learner knowledge, both at baseline and after the case‐based module, was assessed using a written test.

Consultations performed before and after the intervention were compared. Copies of up to 5 consults done by each hospitalist during the year before or after the educational intervention were collected. Identifiers and dates were removed from the consults so that scorers did not know whether the consults were preintervention or postintervention. Consults were scored out of a possible total of 4 to 6 pointsdepending on whether specific elements were applicable. One point was given for each of the following: (1) number of recommendations 5; (2) specific details for all drugs listed [if applicable]; (3) specific details for imaging studies suggested [if applicable]; (4) specific follow‐up documented; (5) consultant's name being clearly written; and (6) verbal contact with the referring team documented. These 6 elements were included based on expert recommendation.10 All consults were scored by 2 hospitalists independently. Disagreements in scores were infrequent (on <10% of the 48 consults scored) and these were only off by 1 point for the overall score. The disagreements were settled by discussion and consensus. All consult scores were converted to a score out of 5, to allow comparisons to be made.

Following the intervention, each participant completed an overall assessment of the educational experience.

Data Analysis

We examined the frequency of responses for each variable and reviewed the distributions. The knowledge scores on the written pretests were not normally distributed and therefore when making comparisons to the posttest, we used the Wilcoxon rank signed test. In comparing the performance scores on the consults across the 2 time periods, we compared the results with both Wilcoxon rank signed test and paired t tests. Because the results were equivalent with both tests, the means from the t tests are shown. Data were analyzed using STATA version 8 (Stata Corp., College Station, TX).

Results

Study Subjects

Among the 14 hospitalist faculty members who were on staff during the study period, 7 were performing medical consults and therefore participated in the study. The 7 faculty members had a mean age of 35 years; 5 (71%) were female, and 5 (71%) were board‐certified in Internal Medicine. The average elapsed time since completion of residency was 5.1 years and average number of years practicing as a hospitalist was 3.8 years (Table 1).

Characteristics of the Faculty Members and House Officers Who Participated in the Study
Faculty (n = 7) 
Age in years, mean (SD)35.57 (5.1)
Female, n (%)5 (71%)
Board certified, n (%)5 (71%)
Years since completion of residency, mean (SD)5.1 (4.4)
Number of years in practice, mean (SD)3.8 (2.9)
Weeks spent in medical consult rotation, mean (SD)3.7 (0.8)
Have read consultation books, n (%)5 (71%)
Housestaff (n = 11) 
Age in years, mean (SD)29.1 (1.8)
Female, n (%)7 (64%)
Residency year, n (%) 
PGY10 (0%)
PGY22 (20%)
PGY37 (70%)
PGY41 (10%)
Weeks spent in medical consult rotation, mean (SD)1.5 (0.85)
Have read consultation books, n (%)5 (50%)

There were 12 house‐staff members who were on their medical consultation rotation during the study period and were exposed to the intervention. Of the 12 house‐staff members, 11 provided demographic information. Characteristics of the 11 house‐staff participants are also shown in Table 1.

Premodule vs. Postmodule Knowledge Assessment

Both faculty and house‐staff performed very well on the true/false pretest. The small changes in the median scores from pretest to posttest did not change significantly for the faculty (pretest: 11/14, posttest: 12/14; P = 0.08), but did reach statistical significance for the house‐staff (pretest: 10/14, posttest: 12/14; P = 0.03).

Audit and Feedback

Of the 7 faculty who participated in the study, 6 performed consults both before and after the intervention. Using the consult scoring system, the scores for all 6 physicians' consults improved after the intervention compared to their earlier consults (Table 2). For 1 faculty member, the consult scores were statistically significantly higher after the intervention (P = 0.017). When all consults completed by the hospitalists were compared before and after the training, there was statistically significant improvement in consult scores (P < 0.001) (Table 2).

Comparisons of Scores for the Consultations Performed Before and After the Intervention
 Preintervention (n =27)Postintervention (n = 21) 
ConsultantScores*MeanScores*MeanP value
  • Total possible score = 5.

  • P value obtained using t test. Significance of results was equivalent when analyzed using the Wilcoxon ranked sign test.

A2, 3, 3.75, 3, 2.52.83, 3, 3, 4, 43.40.093
B3, 3, 3, 3, 12.64, 3, 3, 2.53.10.18
C2, 1.671.84, 2, 33.00.11
D4, 2.5, 3.75, 2.5, 3.753.33.75, 33.40.45
E2, 3, 1, 2, 22.03, 3, 3.753.30.017
F3, 3.75, 2.5, 4, 23.12, 3.75, 4, 43.30.27
All 2.7 3.30.0006

Satisfaction with Consultation Curricula

All faculty and house‐staff participants felt that the intervention had an impact on them (19/19, 100%). Eighteen out of 19 participants (95%) would recommend the educational session to colleagues. After participating, 82% of learners felt confident in performing medical consultations. With respect to the audit and feedback process of reviewing their previously performed consultations, all physicians claimed that their written consultation notes would change in the future.

Discussion

This curricular intervention using a case‐based module combined with audit and feedback appears to have resulted not only in improved knowledge, but also changed physician behavior in the form of higher‐quality written consultations. The teaching sessions were also well received and valued by busy hospitalists.

A review of randomized trials of audit and feedback12 revealed that this strategy is effective in improving professional practice in a variety of areas, including laboratory overutilization,13, 14 clinical practice guideline adherence,15, 17 and antibiotic utilization.13 In 1 study, internal medicine specialists audited their consultation letters and most believed that there had been lasting improvements to their notes.18 However, this study did not objectively compare the consultation letters from before audit and feedback to those written afterward but instead relied solely on the respondents' self‐assessment. It is known that many residents and recent graduates of internal medicine programs feel inadequately prepared in the role of consultant.6, 8 This work describes a curricular intervention that served to augment confidence, knowledge, and actual performance in consultation medicine of physicians. Goldman et al.'s10 Ten Commandments for Effective Consultations, which were later modified by Salerno et al.,11 were highlighted in our case‐based teachings: determine the question being asked or how you can help the requesting physician, establish the urgency of the consultation, gather primary data, be as brief as appropriate in your report, provide specific recommendations, provide contingency plans and discuss their execution, define your role in conjunction with the requesting physician, offer educational information, communicate recommendations directly to the requesting physician, and provide daily follow‐up. These tenets informed the development of the consultation scoring system that was used to assess the quality of the written consultations produced by our consultant hospitalists.

Audit and feedback is similar to PBLI, one of the ACGME core competencies for residency training. Both attempt to engage individuals by having them analyze their patient care practices, looking critically to: (1) identify areas needing improvement, and (2) consider strategies that can be implemented to enhance clinical performance. We now show that consultative medicine is an area that appears to be responsive to a mixed methodological educational intervention that includes audit and feedback.

Faculty and house‐staff knowledge of consultative medicine was assessed both before and after the case‐based educational module. Both groups scored very highly on the true/false pretest, suggesting either that their knowledge was excellent at baseline or the test was not sufficiently challenging. If their knowledge was truly very high, then the intervention need not have focused on improving knowledge. It is our interpretation that the true/false knowledge assessment was not challenging enough and therefore failed to comprehensively characterize their knowledge of consultative medicine.

Several limitations of this study should be considered. First, the sample size was small, including only 7 faculty and 12 house‐staff members. However, these numbers were sufficient to show statistically significant overall improvements in both knowledge and on the consultation scores. Second, few consultations were performed by each faculty member, ranging from 2 to 5, before and after the intervention. This may explain why only 1 out of 6 faculty members showed statistically significant improvement in the quality of consults after the intervention. Third, the true/false format of the knowledge tests allowed the subjects to score very high on the pretest, thereby making it difficult to detect knowledge gained after the intervention. Fourth, the scale used to evaluate consults has not been previously validated. The elements assessed by this scale were decided upon based on guidance from the literature10 and the authors' expertise, thereby affording it content validity evidence.19 The recommendations that guided the scale's development have been shown to improve compliance with the recommendations put forth by the consultant.1, 11 Internal structure validity evidence was conferred by the high level of agreement in scores between the independent raters. Relation to other variables validity evidence may be considered because doctors D and F scored highest on this scale and they are the 2 physicians most experienced in consult medicine. Finally, the educational intervention was time‐intensive for both learners and teacher. It consisted of a 1 hour‐long one‐on‐one session. This can be difficult to incorporate into a busy hospitalist program. The intervention can be made more efficient by having learners take the web‐based module online independently, and then meeting with the teacher for the audit and feedback component.

This consult medicine curricular intervention involving audit and feedback was beneficial to hospitalists and resulted in improved consultation notes. While resource intensive, the one‐on‐one teaching session appears to have worked and resulted in outcomes that are meaningful with respect to patient care.

References
  1. Gross R, Caputo G.Kammerer and Gross' Medical Consultation: the Internist on Surgical, Obstetric, and Psychiatric Services.3rd ed.Baltimore:Williams and Wilkins;1998.
  2. Society of Hospital Medicine.Hospitalist as consultant.J Hosp Med.2006;1(S1):70.
  3. Deyo R.The internist as consultant.Arch Intern Med.1980;140:137138.
  4. Byyny R, Siegler M, Tarlov A.Development of an academic section of general internal medicine.Am J Med.1977;63(4):493498.
  5. Moore R, Kammerer W, McGlynn T, Trautlein J, Burnside J.Consultations in internal medicine: a training program resource.J Med Educ.1977;52(4):323327.
  6. Devor M, Renvall M, Ramsdell J.Practice patterns and the adequacy of residency training in consultation medicine.J Gen Intern Med.1993;8(10):554560.
  7. Bomalaski J, Martin G, Webster J.General internal medicine consultation: the last bridge.Arch Intern Med.1983;143:875876.
  8. Plauth W,Pantilat S, Wachter R, Fenton C.Hospitalists' perceptions of their residency training needs: results of a national survey.Am J Med.2001;111(3):247254.
  9. Robie P.The service and educational contributions of a general medicine consultation service.J Gen Intern Med.1986;1:225227.
  10. Goldman L, Lee T, Rudd P.Ten commandments for effective consultations.Arch Intern Med.1983;143:17531755.
  11. Salerno S, Hurst F, Halvorson S, Mercado D.Principles of effective consultation, an update for the 21st‐century consultant.Arch Intern Med.2007;167:271275.
  12. Jamtvedt G, Young J, Kristoffersen D, O'Brien M, Oxman A.Does telling people what they have been doing change what they do? A systematic review of the effects of audit and feedback.Qual Saf Health Care.2006;15:433436.
  13. Miyakis S, Karamanof G, Liontos M, Mountokalakis T.Factors contributing to inappropriate ordering of tests in an academic medical department and the effect of an educational feedback strategy.Postgrad Med J.2006;82:823829.
  14. Winkens R, Pop P, Grol R, et al.Effects of routine individual feedback over nine years on general practitioners' requests for tests.BMJ.1996;312:490.
  15. Kisuule F, Wright S, Barreto J, Zenilman J.Improving antibiotic utilization among hospitalists: a pilot academic detailing project with a public health approach.J Hosp Med.2008;3(1):6470.
  16. Feldman L, Minter‐Jordan M. The role of the medical consultant. Johns Hopkins Consultative Medicine Essentials for Hospitalists. Available at:http://www.jhcme.com/site/article.cfm?ID=8. Accessed April2009.
  17. Hysong S, Best R, Pugh J.Audit and feedback and clinical practice guideline adherence: making feedback actionable.Implement Sci.2006;1:9.
  18. Keely E, Myers K, Dojeiji S, Campbell C.Peer assessment of outpatient consultation letters—feasibility and satisfaction.BMC Med Educ.2007;7:13.
  19. Beckman TJ, Cook DA, Mandrekar JN.What is the validity evidence for assessment of clinical teaching?J Gen Intern Med.2005;20:11591164.
References
  1. Gross R, Caputo G.Kammerer and Gross' Medical Consultation: the Internist on Surgical, Obstetric, and Psychiatric Services.3rd ed.Baltimore:Williams and Wilkins;1998.
  2. Society of Hospital Medicine.Hospitalist as consultant.J Hosp Med.2006;1(S1):70.
  3. Deyo R.The internist as consultant.Arch Intern Med.1980;140:137138.
  4. Byyny R, Siegler M, Tarlov A.Development of an academic section of general internal medicine.Am J Med.1977;63(4):493498.
  5. Moore R, Kammerer W, McGlynn T, Trautlein J, Burnside J.Consultations in internal medicine: a training program resource.J Med Educ.1977;52(4):323327.
  6. Devor M, Renvall M, Ramsdell J.Practice patterns and the adequacy of residency training in consultation medicine.J Gen Intern Med.1993;8(10):554560.
  7. Bomalaski J, Martin G, Webster J.General internal medicine consultation: the last bridge.Arch Intern Med.1983;143:875876.
  8. Plauth W,Pantilat S, Wachter R, Fenton C.Hospitalists' perceptions of their residency training needs: results of a national survey.Am J Med.2001;111(3):247254.
  9. Robie P.The service and educational contributions of a general medicine consultation service.J Gen Intern Med.1986;1:225227.
  10. Goldman L, Lee T, Rudd P.Ten commandments for effective consultations.Arch Intern Med.1983;143:17531755.
  11. Salerno S, Hurst F, Halvorson S, Mercado D.Principles of effective consultation, an update for the 21st‐century consultant.Arch Intern Med.2007;167:271275.
  12. Jamtvedt G, Young J, Kristoffersen D, O'Brien M, Oxman A.Does telling people what they have been doing change what they do? A systematic review of the effects of audit and feedback.Qual Saf Health Care.2006;15:433436.
  13. Miyakis S, Karamanof G, Liontos M, Mountokalakis T.Factors contributing to inappropriate ordering of tests in an academic medical department and the effect of an educational feedback strategy.Postgrad Med J.2006;82:823829.
  14. Winkens R, Pop P, Grol R, et al.Effects of routine individual feedback over nine years on general practitioners' requests for tests.BMJ.1996;312:490.
  15. Kisuule F, Wright S, Barreto J, Zenilman J.Improving antibiotic utilization among hospitalists: a pilot academic detailing project with a public health approach.J Hosp Med.2008;3(1):6470.
  16. Feldman L, Minter‐Jordan M. The role of the medical consultant. Johns Hopkins Consultative Medicine Essentials for Hospitalists. Available at:http://www.jhcme.com/site/article.cfm?ID=8. Accessed April2009.
  17. Hysong S, Best R, Pugh J.Audit and feedback and clinical practice guideline adherence: making feedback actionable.Implement Sci.2006;1:9.
  18. Keely E, Myers K, Dojeiji S, Campbell C.Peer assessment of outpatient consultation letters—feasibility and satisfaction.BMC Med Educ.2007;7:13.
  19. Beckman TJ, Cook DA, Mandrekar JN.What is the validity evidence for assessment of clinical teaching?J Gen Intern Med.2005;20:11591164.
Issue
Journal of Hospital Medicine - 4(8)
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Journal of Hospital Medicine - 4(8)
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486-489
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486-489
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A case‐based teaching module combined with audit and feedback to improve the quality of consultations
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A case‐based teaching module combined with audit and feedback to improve the quality of consultations
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audit and feedback, medical consultation, medical education
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audit and feedback, medical consultation, medical education
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Delays in Pediatric Discharge

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Delays in discharge in a tertiary care pediatric hospital

Inpatient pediatrics is undergoing a paradigm shift in at least 3 ways. First, more children with chronic disease are being cared for in the hospital over time.1 Second, previous inpatient conditions are treated at home with advancing technology such as peripherally‐inserted catheters.2 Third, there are new areas of growing specialization, such as hospital medicine, in which the practitioners deliver more efficient care.3, 4

Nationwide, there is increasing pressure to improve inpatient quality of care. The Institute of Medicine defines 6 aims for improvement, including timeliness (reducing waits and sometimes harmful delays for both those who receive and those who give care) and efficiency of care (avoiding waste, including waste of equipment, supplies, ideas, and energy).5 Reducing unnecessary stays in the hospital is a potential quality measure that hospitals may use to address the timeliness and efficiency of care delivered to hospitalized children.

Delays in discharge have been used as markers of unnecessary stays in the hospital for inpatient adult and pediatric care,6, 7 but these are limited to inpatient systems from almost 20 years ago. Current reasons why patients are delayed from discharge, if at all, are not well described. We undertook this study to describe delays in hospital discharges at a tertiary‐care children's hospital in terms of number of patients, length of days of delay, and type of delay. In addition, we sought to characterize the impact of discharge delays on overall length of stay (LOS) and costs.

Methods

Patient Population/Study Design

All children cared for on 2 pediatric medical teams at Primary Children's Medical Center during the month of August 2004 were eligible for the study. Two research assistants independently attended team rounds and collected data relating to: the reasons for ongoing hospitalization, pending items (eg, consultations, tests), and the plan of care for that day. The research assistants each attended daily team rounds for the entire month of August (1 for each team, switching to the opposite team after 2 weeks). This was combined with information available in the Patient Tracker, a software tool developed to improve communication between caregivers and improve discharge efficiency.8 This software tool details diagnoses, daily medical care plans, discharge criteria, and ongoing medical interventions while tracking daily changes in interventions and the medical care plan for each patient cared for on a pediatric medical team.

The research assistants subsequently presented their observations along with information from Patient Tracker to 2 experienced physicians (R.S. and B.S.) who independently determined if a delay occurred, the number of delay days extending discharge, and the cause of the delay, if present, categorized according to the taxonomy of the Delay Tool.6, 7 If there was not enough information for either of the physicians to identify and classify a delay, the electronic medical record of the patient was also reviewed. Discrepancies between physicians assigning delays were discussed until consensus was reached.

The study was approved by the Institutional Review Board of the University of Utah Health Sciences Center and Primary Children's Medical Center (PCMC).

Setting

PCMC is a 233‐bed tertiary‐care children's hospital, owned and operated by Intermountain Healthcare (a not‐for‐profit vertically integrated managed care organization) in the Intermountain West, which serves as both the primary hospital for Salt Lake County and as a tertiary‐care children's hospital for 5 states (UT, MT, WY, ID, and NV).9

Study Definitions

Delay and Length of Delay

Delays in discharge were measured using a validated and reliable instrument, the Delay Tool.6, 7 A discharge was classified as delayed if there was no medical reason for the patient to be in the hospital on a given day, identical to the definition used in the original studies to validate the tool. Delays were recorded as whole days, not fractions of days or hours, as described in the original validation of the tool. For example, if the medical team requested a consultation, and the consultant's opinion was rendered late, but the patient would have remained in the hospital anyway, then this period of time would not count as a delay. However, if the medical team did not receive a consultant's opinion within the standard time (24 hours as defined for this study and in validating studies for the Delay Tool), and the patient's sole reason for being in the hospital during that day was waiting for that opinion, then that period of time would count toward a delay due to a late consultative opinion. Delays of less than 1 day, due to the mechanics of discharging a patient from the hospital (providing prescriptions, follow up, communication, arranging home health, and transportation) were not measured in this study, to match the original methodology of the Delay Tool.

Type of Delay

Primary reason for delay was assigned according to the taxonomy of the Delay Tool.6, 7 Delays were categorized to 1 of the following: (1) test scheduling; (2) obtaining test results; (3) surgery; (4) consultation; (5) patient (eg, family unavailable for decision‐making); (6) physician responsibility; (7) education, training. or research; (8) discharge planning or scheduling; and (9) availability of outside care and resources. There are 166 subcategories that clarify why a delay occurred. For example, within the main category of obtaining test results (2), there are 3 subcategories of delays related to problem in executing the test (2.1), return of results is delayed (2.2), and test results not reviewed within standard time of return (2.3). Subcategories are further divided to provide detail on the cause of delay. For example, a delay categorized as a 2.1:1 [(2) obtaining test results; (2.1) problem in executing the test; and 2.1:1 test to be done by MD is delayed beyond day desired], or 2.3:1 [(2) obtaining test results; (2.3) test results not reviewed within standard time of return; and 2.3:1 delay because physician did not review results]) both relate to physician causes of delays within the general category of obtaining test results. Some delays had more than 1 cause. A secondary cause of delay was assigned if applicable; however, the number of days delayed was attributed to the primary cause for analysis purposes.

Exemptions to Delay and Special Populations

Certain subpopulations of patients presented unique issues that led to them being unlikely to be classified as having a delay. For example, patients with a diagnosis of new onset of type 1 diabetes are historically admitted for 3 days at our hospital, which includes a specific education program; delays were not considered until this minimum period had passed. Children with medically complex care (eg, multisystem disease, multiple specialists involved, multiple medications) were included in this study.10 However, these children with frequent hospital admission were often fragile at discharge, and could meet criteria for readmission even on the date of their discharge, hence assigning a delay day was usually not indicated because of easily justified ongoing medical need for hospitalization.

Study Variables

The LOS, total costs, and routine demographic and administrative data for each study patient were extracted from Intermountain Healthcare's Enterprise Data Warehouse (EDW). The EDW contains detailed data about the cost of providing health care. Costs were derived from the hospital's cost accounting program, the Standard Cost Master, which is a transaction‐based microcosting accounting system.1113

For patients whose LOS extended before August 1 or after August 31, total hospital costs were averaged per day, and only days falling inside the month of August were counted in calculating the impact the delays in discharge had on the total costs of hospitalization. Hospital days that extended outside of August were not counted in either the numerator for potential days of delay or in the denominator for total days in the hospital.

Analyses

Descriptive statistics were calculated for the number, length of days of delay, and type of delay. Interrater reliability to assign a delay was ascertained for the 2 physicians. Mean LOS, mean total costs, and standard deviations (SDs) were calculated. All analyses were performed using Statistical Analytical Software version 9.13 (SAS Institute, Cary, NC).

Results

During the 31 days of the study, 171 patients occupied hospital beds an average of 7.3 days on the 2 inpatient medical teams, for a total of 911 inpatient days. Seven patients were admitted prior to August 1; 6 of these were discharged during the month of August and 1 stayed through the entire month and was discharged in September. Three additional patients were admitted in August and discharged in September. There were 6 readmissions during the month of August, and 1 patient was excluded from the study because of lack of sufficient information. All patients with delays were able to be classified according to the Delay Tool taxonomy. Interrater reliability for the 2 study physicians was 98%.

The characteristics between the patients who did and did not experience a delay in discharge are shown in Table 1. Thirty‐nine of 171 patients (22.8%), experienced at least 1 delay day. Eighteen of 39 patients had only 1 delay day (46.2%) and 11 patients experienced 2 delayed days (28.2%) (Figure 1). The average length of delay was 2.1 days.

Figure 1
Number of patients experiencing delay by the number of delay days.
Characteristics of Patients Who Did and Did Not Experience a Delay in Discharge
 Nondelayed Patients (N = 132)Delayed Patients (N = 39)P Value
  • Continuous variables were analyzed using the Kruskal‐Wallis test.

  • Dichotomous variables were analyzed using the chi‐square test.

  • Abbreviations: APR‐DRG SOI, all‐payer‐refined diagnosis‐related groups severity of illness; ICD‐9 CM, International Classification of Diseases Clinical Modification, ninth revision; LOS, length of stay; SD, standard deviation.

Age (months), mean (SD)*22.6 (14.4)15.0 (14.6)0.009
LOS during August (days), mean (SD)*4.64 (6.1)7.64 (7.15)<0.001
Total costs during August ($), mean (SD)*10,451 (19,254)14,341 (16,241)0.002
Number of ICD‐9 CM diagnoses codes, mean (SD)*7.1 (7.4)8.5 (7.3)0.056
Number of ICD‐9 CM procedure codes, mean (SD)*1.7 (3.8)1.6 (2.6)0.068
Number of Patients with APR‐DRG SOI 3 (%)59 (44.7%)19 (48.7%)0.65

Delays attributed to physician responsibility accounted for 42.3% (16.5/39) of patient delays (conservative management or clinical decision‐making), with discharge planning delays accounting for 21.8% (family‐related, patient‐related, and hospital‐related problems), consultation for 14.1% (delay in obtaining or lack of follow‐up), test scheduling for 12.8%, and obtaining test results for 5.1% (ordering and weekend scheduling). There were no primary delays due to surgery, education and research, or unavailability of outside resources such as a skilled nursing bed. Four patients had a single additional secondary cause of delay assigned to them, related to physician responsibility, consultation, surgery and test scheduling; these were split, attributing 0.5 patients to each delay type (thus, the 17/39 patients delayed for physician responsibility was analyzed as 16.5/39) (Table 2).

Study Patients (N = 171) and Hospital Days (N = 911) with Delays
Delay CategoryNumber of Patients Experiencing Delays*Percentage of All Patients Experiencing Delays (%)Percentage of Study Patients Observed (%)Total Delay DaysAverage Length of Delays (days)Percentage of Hospital Days That Were Delay Days (%)
  • Some delays were contributed to by more than 1 category, these were split, attributing 0.5 patients to each delay type.

1. Scheduling512.82.92163.201.76
2. Obtaining results25.11.1731.500.33
3. Surgery0.51.30.291.53.000.16
4. Consultation5.514.13.2210.51.911.15
5. Patient12.60.5822.000.22
6. Physician16.542.39.6533.52.033.68
7. Education000.00000.00
8. Discharge8.521.84.9715.51.821.70
9. Outside000.00000.00
Total3910022.81822.109.00

There were 82 delay‐related hospital days of 911 total inpatient days on the 2 medical teams for August 2004 (9%). More than $170,000 in excess costs was incurred due to delay days from a total of approximately 1.9 million dollars in patient costs for the month (8.9%).

Discussion

This study finds that discharge delays in a tertiary care children's hospital are common; almost 1 in 4 patients experienced a medically unnecessary excess hospital stay of at least 1 day. The average length of a delay was 2.1 days, and overall, delays consumed 9% of pediatric hospital days and 8.9% of total costs. The most common reason for a delay was related to physician clinical care, including excessively conservative management and variability in clinical decision‐making.

Our study results are similar to the other 2 published studies that use the Delay Tool. In the adult and pediatric studies, between 10% and 30% of patients experienced a delay in discharge, with the average length of delay between 2.9 and 3 days.6, 7 Although both studies were conducted at teaching hospitals, what is particularly interesting is that they were conducted almost 20 years ago. During this period of time, there has been a shift in the inpatient pediatric patient population. In recent years, children who are cared for in the hospital have more chronic illnesses.1 In addition, there has been a shift in the types of conditions that may be cared for at home and those that now require inpatient stay.2 Despite this, delays continue at a similar proportion, but the cause of delays have shifted from scheduling and consultation to physician responsibility.

There is another tool in the literature which is more widely used, the Pediatric Appropriateness Evaluation Protocol (PAEP), which is based on the Appropriateness Evaluation Protocol for adults.1417 This tool is used to determine the appropriateness of ongoing hospitalization, not the cause of delay if ongoing hospitalization is inappropriate. The 3 areas that are evaluated (medical services, nursing and ancillary services, and patient's condition) have objective criteria that dictate if the hospitalization is appropriate or not (eg, parenteral (intravenous) therapy for at least 8 hours on that day, under nursing and ancillary services). The PAEP may be less sensitive given today's healthcare resource utilization climate. Many clinicians and families would agree that insertion of a peripheral central catheter is an acceptable form of outpatient treatment for many pediatric conditions. In conjunction with the Delay Tool, the PAEP could be used to determine if a delay occurred, then the Delay Tool used to categorize the cause of the delay. We choose to use expert clinician judgment to determine if a delay had occurred. We were more interested in why patients who are admitted (appropriately or inappropriately) cannot be discharged sooner, thus allowing for future intervention studies targeted to impact delays in discharge, as elucidated in this study. The Delay Tool specifically allowed us to categorize the reasons for delays. Given that the average LOS for patients in the nondelayed group was over 4 days, despite not using a tool such as the PAEP, we believe that these were likely to be appropriate admissions.

A recent study reported the first use of the Medical Care Appropriateness Protocol (MCAP) in a tertiary‐care children's hospital. The authors used the MCAP to determine the impact of an intervention on reducing inappropriate hospitals days for children. This tool is similarly labor‐intensive to the Delay Tool. Interestingly, this Canadian study found a high rate of inappropriate hospital days (47%), which may be in part attributable to a different outcome measurement tool and/or a different health care system.18

There are several limitations to our study that deserve mention. The Delay Tool requires clinician judgment regarding whether or not there was a delay in discharge for that day. We may have introduced some bias in our study, as hospitalist investigators assigned the delay and blinding to the attending physician specialty of record was not feasible. However, our results are similar to the other 2 published studies that have used this tool, and we specifically chose not to analyze or report results in terms of hospitalist and nonhospitalist attending physicians. The Delay Tool is not designed to differentiate shorter delays in terms of hours instead of days (eg, due to the inability for the patient to get a ride home). Shorter delays may be of particular importance depending on the occupancy rate of the hospital, the demand for beds, and other patient and hospital factors. We could not capture these shorter delays (although they did occur frequently) due to the original description of the Delay Tool. In addition, we would not have been able to report data on the impact on LOS and costs, as these are attributed to whole days in the hospital. However, if we had been able to differentiate shorter delays, this would bias our results to show a greater percentage of delays over smaller increments of time. Generalizability is an issue, given that this was a single‐center study. This study sample included over 80 different attending physicians participating in community pediatrician, subspecialty, and hospitalist practice groups. However, the patient population at PCMC is similar to other medium and large children's hospitals in the United States. The month observed may not reflect the entire year of hospitalizationsthere may be seasonal variations with delays depending on the volume and type of illness seen. The study was conducted in August, when there are newer house staff present. However, physician responsibility, which was the largest source of delays in our study, had little attribution to house staff. Most of the decisions were those of attending physicians, which would largely be unaffected by the time of year of the study. Finally, we were unable to assess the safety of the potential earlier discharge, as this was an observational study. However, in any future intervention studies examining processes to discharge patients sooner, measures of safety to the patient are a necessity. Finally, given the potential of ongoing admission, even on the date of discharge of our most fragile patients, this approach to discovering causes of delay may not apply to this important group, which is responsible for significant and growing resource utilization.

Despite these limitations, our findings demonstrate that in an era of children staying in the hospital less, and more medically‐complex children being admitted,10 a substantial number of children who are hospitalized at a children's hospital may have been discharged sooner. The majority of these decisions were directly related to physician responsibility. As consumers, providers, and hospitals work together to develop quality measures that are reflective of inpatient pediatric care, the Delay Tool may be able to highlight 2 aims of quality (ie, timeliness and efficiency of care) that could be used to assess the impact of interventions designed to safely discharge patients sooner. Interventions such as audit‐feedback,18 clinical guideline deployment,19 and hospitalist systems of care4 continue to hold the promise of earlier discharge; however, tools designed to measure inappropriate use of hospital days should be employed to demonstrate their effectiveness. Our study demonstrates ongoing waste in children's hospitals.

Conclusions

Almost 1 out of 4 patients in this 1‐month period could have been discharged sooner than they were. The impact of delays on costs and LOS are substantial and should provide strong incentives to develop effective interventions. Such interventions will need to address variations in physician criteria for discharge, more efficient discharge planning, and timely scheduling of consultation and diagnostic testing.

Acknowledgements

The authors thank Joni R. Beshanky and Harry Selker for their help and training in the use of the Delay Tool.

References
  1. Wise PH.The transformation of child health in the United States: social disparities in child health persistent despite dramatic improvement in child health overall.Health Aff (Millwood).2004;23(5):925.
  2. Srivastava R, Muret‐Wagstaff S, Young P, James BC.Hospitalist care of medically complex children.Pediatr Res.2004;55(4):314A315A.
  3. Landrigan CP, Conway PH, Edwards S, Srivastava R.Pediatric hospitalists: a systematic review of the literature.Pediatrics.2006;117(5):17361744.
  4. Lye PS, Rauch DA, Ottolini MC, et al.Pediatric hospitalists: report of a leadership conference.Pediatrics.2006;117(4):11221130.
  5. Institute of Medicine.Crossing the Quality Chasm: A New Health System for the Twenty‐first Century.Washington, DC:National Academy Press;2001.
  6. Klein JD, Beshansky JR, Selker HP.Using the Delay Tool to attribute causes for unnecessary pediatric hospital days.Med Care.1990;28(10):982989.
  7. Selker HP, Beshansky JR, Pauker SG, Kassirer JP.The epidemiology of delays in a teaching hospital. The development and use of a tool that detects unnecessary hospital days.Med Care.1989;27(2):112129.
  8. Maloney C, Wolfe D, Gesteland P, Hales J, Nkoy F.A tool for improving patient discharge process and hospital communication practices: the Patient Tracker.AMIA Annu Symp Proc.2007;11:493497.
  9. Norlin C, Osborn LM.Organizational responses to managed care: issues for academic health centers and implications for pediatric programs.Pediatrics.1998;101(4 Pt 2):805811; discussion 811–802.
  10. Srivastava R, Stone BL, Murphy NA.Hospitalist care of the medically complex child.Pediatr Clin North Am.2005;52(4):11651187.
  11. Ampofo K, Gesteland PH, Bender J, et al.Epidemiology, complications, and cost of hospitalization in children with laboratory‐confirmed influenza infection.Pediatrics.2006;118(6):24092417.
  12. Harbarth S, Burke JP, Lloyd JF, Evans RS, Pestotnik SL, Samore MH.Clinical and economic outcomes of conventional amphotericin B‐associated nephrotoxicity.Clin Infect Dis.2002;35(12):e120e127.
  13. Evans RS, Classen DC, Stevens LE, et al.Using a hospital information system to assess the effects of adverse drug events.Proc Annu Symp Comput Appl Med Care.1993;1993:161165.
  14. Gloor JE, Kissoon N, Joubert GI.Appropriateness of hospitalization in a Canadian pediatric hospital.Pediatrics.1993;91(1):7074.
  15. Formby DJ, McMullin ND, Danagher K, Oldham DR.The appropriateness evaluation protocol: application in an Australian children's hospital.Aust Clin Rev.1991;11(4):123131.
  16. Kreger BE, Restuccia JD.Assessing the need to hospitalize children: pediatric appropriateness evaluation protocol.Pediatrics.1989;84(2):242247.
  17. Kemper KJ.Medically inappropriate hospital use in a pediatric population.N Engl J Med.1988;318(16):10331037.
  18. Mahant S, Peterson R, Campbell M, MacGregor DL, Friedman JN.Reducing inappropriate hospital use on a general pediatric inpatient unit.Pediatrics.2008;121(5):e1068e1073.
  19. Simmons JM, Kotagal UR.Reliable implementation of clinical pathways: what will it take—that is the question.J Pediatr.2008;152(3):303304.
Article PDF
Issue
Journal of Hospital Medicine - 4(8)
Page Number
481-485
Legacy Keywords
children's hospital, delays in discharge, pediatrics
Sections
Article PDF
Article PDF

Inpatient pediatrics is undergoing a paradigm shift in at least 3 ways. First, more children with chronic disease are being cared for in the hospital over time.1 Second, previous inpatient conditions are treated at home with advancing technology such as peripherally‐inserted catheters.2 Third, there are new areas of growing specialization, such as hospital medicine, in which the practitioners deliver more efficient care.3, 4

Nationwide, there is increasing pressure to improve inpatient quality of care. The Institute of Medicine defines 6 aims for improvement, including timeliness (reducing waits and sometimes harmful delays for both those who receive and those who give care) and efficiency of care (avoiding waste, including waste of equipment, supplies, ideas, and energy).5 Reducing unnecessary stays in the hospital is a potential quality measure that hospitals may use to address the timeliness and efficiency of care delivered to hospitalized children.

Delays in discharge have been used as markers of unnecessary stays in the hospital for inpatient adult and pediatric care,6, 7 but these are limited to inpatient systems from almost 20 years ago. Current reasons why patients are delayed from discharge, if at all, are not well described. We undertook this study to describe delays in hospital discharges at a tertiary‐care children's hospital in terms of number of patients, length of days of delay, and type of delay. In addition, we sought to characterize the impact of discharge delays on overall length of stay (LOS) and costs.

Methods

Patient Population/Study Design

All children cared for on 2 pediatric medical teams at Primary Children's Medical Center during the month of August 2004 were eligible for the study. Two research assistants independently attended team rounds and collected data relating to: the reasons for ongoing hospitalization, pending items (eg, consultations, tests), and the plan of care for that day. The research assistants each attended daily team rounds for the entire month of August (1 for each team, switching to the opposite team after 2 weeks). This was combined with information available in the Patient Tracker, a software tool developed to improve communication between caregivers and improve discharge efficiency.8 This software tool details diagnoses, daily medical care plans, discharge criteria, and ongoing medical interventions while tracking daily changes in interventions and the medical care plan for each patient cared for on a pediatric medical team.

The research assistants subsequently presented their observations along with information from Patient Tracker to 2 experienced physicians (R.S. and B.S.) who independently determined if a delay occurred, the number of delay days extending discharge, and the cause of the delay, if present, categorized according to the taxonomy of the Delay Tool.6, 7 If there was not enough information for either of the physicians to identify and classify a delay, the electronic medical record of the patient was also reviewed. Discrepancies between physicians assigning delays were discussed until consensus was reached.

The study was approved by the Institutional Review Board of the University of Utah Health Sciences Center and Primary Children's Medical Center (PCMC).

Setting

PCMC is a 233‐bed tertiary‐care children's hospital, owned and operated by Intermountain Healthcare (a not‐for‐profit vertically integrated managed care organization) in the Intermountain West, which serves as both the primary hospital for Salt Lake County and as a tertiary‐care children's hospital for 5 states (UT, MT, WY, ID, and NV).9

Study Definitions

Delay and Length of Delay

Delays in discharge were measured using a validated and reliable instrument, the Delay Tool.6, 7 A discharge was classified as delayed if there was no medical reason for the patient to be in the hospital on a given day, identical to the definition used in the original studies to validate the tool. Delays were recorded as whole days, not fractions of days or hours, as described in the original validation of the tool. For example, if the medical team requested a consultation, and the consultant's opinion was rendered late, but the patient would have remained in the hospital anyway, then this period of time would not count as a delay. However, if the medical team did not receive a consultant's opinion within the standard time (24 hours as defined for this study and in validating studies for the Delay Tool), and the patient's sole reason for being in the hospital during that day was waiting for that opinion, then that period of time would count toward a delay due to a late consultative opinion. Delays of less than 1 day, due to the mechanics of discharging a patient from the hospital (providing prescriptions, follow up, communication, arranging home health, and transportation) were not measured in this study, to match the original methodology of the Delay Tool.

Type of Delay

Primary reason for delay was assigned according to the taxonomy of the Delay Tool.6, 7 Delays were categorized to 1 of the following: (1) test scheduling; (2) obtaining test results; (3) surgery; (4) consultation; (5) patient (eg, family unavailable for decision‐making); (6) physician responsibility; (7) education, training. or research; (8) discharge planning or scheduling; and (9) availability of outside care and resources. There are 166 subcategories that clarify why a delay occurred. For example, within the main category of obtaining test results (2), there are 3 subcategories of delays related to problem in executing the test (2.1), return of results is delayed (2.2), and test results not reviewed within standard time of return (2.3). Subcategories are further divided to provide detail on the cause of delay. For example, a delay categorized as a 2.1:1 [(2) obtaining test results; (2.1) problem in executing the test; and 2.1:1 test to be done by MD is delayed beyond day desired], or 2.3:1 [(2) obtaining test results; (2.3) test results not reviewed within standard time of return; and 2.3:1 delay because physician did not review results]) both relate to physician causes of delays within the general category of obtaining test results. Some delays had more than 1 cause. A secondary cause of delay was assigned if applicable; however, the number of days delayed was attributed to the primary cause for analysis purposes.

Exemptions to Delay and Special Populations

Certain subpopulations of patients presented unique issues that led to them being unlikely to be classified as having a delay. For example, patients with a diagnosis of new onset of type 1 diabetes are historically admitted for 3 days at our hospital, which includes a specific education program; delays were not considered until this minimum period had passed. Children with medically complex care (eg, multisystem disease, multiple specialists involved, multiple medications) were included in this study.10 However, these children with frequent hospital admission were often fragile at discharge, and could meet criteria for readmission even on the date of their discharge, hence assigning a delay day was usually not indicated because of easily justified ongoing medical need for hospitalization.

Study Variables

The LOS, total costs, and routine demographic and administrative data for each study patient were extracted from Intermountain Healthcare's Enterprise Data Warehouse (EDW). The EDW contains detailed data about the cost of providing health care. Costs were derived from the hospital's cost accounting program, the Standard Cost Master, which is a transaction‐based microcosting accounting system.1113

For patients whose LOS extended before August 1 or after August 31, total hospital costs were averaged per day, and only days falling inside the month of August were counted in calculating the impact the delays in discharge had on the total costs of hospitalization. Hospital days that extended outside of August were not counted in either the numerator for potential days of delay or in the denominator for total days in the hospital.

Analyses

Descriptive statistics were calculated for the number, length of days of delay, and type of delay. Interrater reliability to assign a delay was ascertained for the 2 physicians. Mean LOS, mean total costs, and standard deviations (SDs) were calculated. All analyses were performed using Statistical Analytical Software version 9.13 (SAS Institute, Cary, NC).

Results

During the 31 days of the study, 171 patients occupied hospital beds an average of 7.3 days on the 2 inpatient medical teams, for a total of 911 inpatient days. Seven patients were admitted prior to August 1; 6 of these were discharged during the month of August and 1 stayed through the entire month and was discharged in September. Three additional patients were admitted in August and discharged in September. There were 6 readmissions during the month of August, and 1 patient was excluded from the study because of lack of sufficient information. All patients with delays were able to be classified according to the Delay Tool taxonomy. Interrater reliability for the 2 study physicians was 98%.

The characteristics between the patients who did and did not experience a delay in discharge are shown in Table 1. Thirty‐nine of 171 patients (22.8%), experienced at least 1 delay day. Eighteen of 39 patients had only 1 delay day (46.2%) and 11 patients experienced 2 delayed days (28.2%) (Figure 1). The average length of delay was 2.1 days.

Figure 1
Number of patients experiencing delay by the number of delay days.
Characteristics of Patients Who Did and Did Not Experience a Delay in Discharge
 Nondelayed Patients (N = 132)Delayed Patients (N = 39)P Value
  • Continuous variables were analyzed using the Kruskal‐Wallis test.

  • Dichotomous variables were analyzed using the chi‐square test.

  • Abbreviations: APR‐DRG SOI, all‐payer‐refined diagnosis‐related groups severity of illness; ICD‐9 CM, International Classification of Diseases Clinical Modification, ninth revision; LOS, length of stay; SD, standard deviation.

Age (months), mean (SD)*22.6 (14.4)15.0 (14.6)0.009
LOS during August (days), mean (SD)*4.64 (6.1)7.64 (7.15)<0.001
Total costs during August ($), mean (SD)*10,451 (19,254)14,341 (16,241)0.002
Number of ICD‐9 CM diagnoses codes, mean (SD)*7.1 (7.4)8.5 (7.3)0.056
Number of ICD‐9 CM procedure codes, mean (SD)*1.7 (3.8)1.6 (2.6)0.068
Number of Patients with APR‐DRG SOI 3 (%)59 (44.7%)19 (48.7%)0.65

Delays attributed to physician responsibility accounted for 42.3% (16.5/39) of patient delays (conservative management or clinical decision‐making), with discharge planning delays accounting for 21.8% (family‐related, patient‐related, and hospital‐related problems), consultation for 14.1% (delay in obtaining or lack of follow‐up), test scheduling for 12.8%, and obtaining test results for 5.1% (ordering and weekend scheduling). There were no primary delays due to surgery, education and research, or unavailability of outside resources such as a skilled nursing bed. Four patients had a single additional secondary cause of delay assigned to them, related to physician responsibility, consultation, surgery and test scheduling; these were split, attributing 0.5 patients to each delay type (thus, the 17/39 patients delayed for physician responsibility was analyzed as 16.5/39) (Table 2).

Study Patients (N = 171) and Hospital Days (N = 911) with Delays
Delay CategoryNumber of Patients Experiencing Delays*Percentage of All Patients Experiencing Delays (%)Percentage of Study Patients Observed (%)Total Delay DaysAverage Length of Delays (days)Percentage of Hospital Days That Were Delay Days (%)
  • Some delays were contributed to by more than 1 category, these were split, attributing 0.5 patients to each delay type.

1. Scheduling512.82.92163.201.76
2. Obtaining results25.11.1731.500.33
3. Surgery0.51.30.291.53.000.16
4. Consultation5.514.13.2210.51.911.15
5. Patient12.60.5822.000.22
6. Physician16.542.39.6533.52.033.68
7. Education000.00000.00
8. Discharge8.521.84.9715.51.821.70
9. Outside000.00000.00
Total3910022.81822.109.00

There were 82 delay‐related hospital days of 911 total inpatient days on the 2 medical teams for August 2004 (9%). More than $170,000 in excess costs was incurred due to delay days from a total of approximately 1.9 million dollars in patient costs for the month (8.9%).

Discussion

This study finds that discharge delays in a tertiary care children's hospital are common; almost 1 in 4 patients experienced a medically unnecessary excess hospital stay of at least 1 day. The average length of a delay was 2.1 days, and overall, delays consumed 9% of pediatric hospital days and 8.9% of total costs. The most common reason for a delay was related to physician clinical care, including excessively conservative management and variability in clinical decision‐making.

Our study results are similar to the other 2 published studies that use the Delay Tool. In the adult and pediatric studies, between 10% and 30% of patients experienced a delay in discharge, with the average length of delay between 2.9 and 3 days.6, 7 Although both studies were conducted at teaching hospitals, what is particularly interesting is that they were conducted almost 20 years ago. During this period of time, there has been a shift in the inpatient pediatric patient population. In recent years, children who are cared for in the hospital have more chronic illnesses.1 In addition, there has been a shift in the types of conditions that may be cared for at home and those that now require inpatient stay.2 Despite this, delays continue at a similar proportion, but the cause of delays have shifted from scheduling and consultation to physician responsibility.

There is another tool in the literature which is more widely used, the Pediatric Appropriateness Evaluation Protocol (PAEP), which is based on the Appropriateness Evaluation Protocol for adults.1417 This tool is used to determine the appropriateness of ongoing hospitalization, not the cause of delay if ongoing hospitalization is inappropriate. The 3 areas that are evaluated (medical services, nursing and ancillary services, and patient's condition) have objective criteria that dictate if the hospitalization is appropriate or not (eg, parenteral (intravenous) therapy for at least 8 hours on that day, under nursing and ancillary services). The PAEP may be less sensitive given today's healthcare resource utilization climate. Many clinicians and families would agree that insertion of a peripheral central catheter is an acceptable form of outpatient treatment for many pediatric conditions. In conjunction with the Delay Tool, the PAEP could be used to determine if a delay occurred, then the Delay Tool used to categorize the cause of the delay. We choose to use expert clinician judgment to determine if a delay had occurred. We were more interested in why patients who are admitted (appropriately or inappropriately) cannot be discharged sooner, thus allowing for future intervention studies targeted to impact delays in discharge, as elucidated in this study. The Delay Tool specifically allowed us to categorize the reasons for delays. Given that the average LOS for patients in the nondelayed group was over 4 days, despite not using a tool such as the PAEP, we believe that these were likely to be appropriate admissions.

A recent study reported the first use of the Medical Care Appropriateness Protocol (MCAP) in a tertiary‐care children's hospital. The authors used the MCAP to determine the impact of an intervention on reducing inappropriate hospitals days for children. This tool is similarly labor‐intensive to the Delay Tool. Interestingly, this Canadian study found a high rate of inappropriate hospital days (47%), which may be in part attributable to a different outcome measurement tool and/or a different health care system.18

There are several limitations to our study that deserve mention. The Delay Tool requires clinician judgment regarding whether or not there was a delay in discharge for that day. We may have introduced some bias in our study, as hospitalist investigators assigned the delay and blinding to the attending physician specialty of record was not feasible. However, our results are similar to the other 2 published studies that have used this tool, and we specifically chose not to analyze or report results in terms of hospitalist and nonhospitalist attending physicians. The Delay Tool is not designed to differentiate shorter delays in terms of hours instead of days (eg, due to the inability for the patient to get a ride home). Shorter delays may be of particular importance depending on the occupancy rate of the hospital, the demand for beds, and other patient and hospital factors. We could not capture these shorter delays (although they did occur frequently) due to the original description of the Delay Tool. In addition, we would not have been able to report data on the impact on LOS and costs, as these are attributed to whole days in the hospital. However, if we had been able to differentiate shorter delays, this would bias our results to show a greater percentage of delays over smaller increments of time. Generalizability is an issue, given that this was a single‐center study. This study sample included over 80 different attending physicians participating in community pediatrician, subspecialty, and hospitalist practice groups. However, the patient population at PCMC is similar to other medium and large children's hospitals in the United States. The month observed may not reflect the entire year of hospitalizationsthere may be seasonal variations with delays depending on the volume and type of illness seen. The study was conducted in August, when there are newer house staff present. However, physician responsibility, which was the largest source of delays in our study, had little attribution to house staff. Most of the decisions were those of attending physicians, which would largely be unaffected by the time of year of the study. Finally, we were unable to assess the safety of the potential earlier discharge, as this was an observational study. However, in any future intervention studies examining processes to discharge patients sooner, measures of safety to the patient are a necessity. Finally, given the potential of ongoing admission, even on the date of discharge of our most fragile patients, this approach to discovering causes of delay may not apply to this important group, which is responsible for significant and growing resource utilization.

Despite these limitations, our findings demonstrate that in an era of children staying in the hospital less, and more medically‐complex children being admitted,10 a substantial number of children who are hospitalized at a children's hospital may have been discharged sooner. The majority of these decisions were directly related to physician responsibility. As consumers, providers, and hospitals work together to develop quality measures that are reflective of inpatient pediatric care, the Delay Tool may be able to highlight 2 aims of quality (ie, timeliness and efficiency of care) that could be used to assess the impact of interventions designed to safely discharge patients sooner. Interventions such as audit‐feedback,18 clinical guideline deployment,19 and hospitalist systems of care4 continue to hold the promise of earlier discharge; however, tools designed to measure inappropriate use of hospital days should be employed to demonstrate their effectiveness. Our study demonstrates ongoing waste in children's hospitals.

Conclusions

Almost 1 out of 4 patients in this 1‐month period could have been discharged sooner than they were. The impact of delays on costs and LOS are substantial and should provide strong incentives to develop effective interventions. Such interventions will need to address variations in physician criteria for discharge, more efficient discharge planning, and timely scheduling of consultation and diagnostic testing.

Acknowledgements

The authors thank Joni R. Beshanky and Harry Selker for their help and training in the use of the Delay Tool.

Inpatient pediatrics is undergoing a paradigm shift in at least 3 ways. First, more children with chronic disease are being cared for in the hospital over time.1 Second, previous inpatient conditions are treated at home with advancing technology such as peripherally‐inserted catheters.2 Third, there are new areas of growing specialization, such as hospital medicine, in which the practitioners deliver more efficient care.3, 4

Nationwide, there is increasing pressure to improve inpatient quality of care. The Institute of Medicine defines 6 aims for improvement, including timeliness (reducing waits and sometimes harmful delays for both those who receive and those who give care) and efficiency of care (avoiding waste, including waste of equipment, supplies, ideas, and energy).5 Reducing unnecessary stays in the hospital is a potential quality measure that hospitals may use to address the timeliness and efficiency of care delivered to hospitalized children.

Delays in discharge have been used as markers of unnecessary stays in the hospital for inpatient adult and pediatric care,6, 7 but these are limited to inpatient systems from almost 20 years ago. Current reasons why patients are delayed from discharge, if at all, are not well described. We undertook this study to describe delays in hospital discharges at a tertiary‐care children's hospital in terms of number of patients, length of days of delay, and type of delay. In addition, we sought to characterize the impact of discharge delays on overall length of stay (LOS) and costs.

Methods

Patient Population/Study Design

All children cared for on 2 pediatric medical teams at Primary Children's Medical Center during the month of August 2004 were eligible for the study. Two research assistants independently attended team rounds and collected data relating to: the reasons for ongoing hospitalization, pending items (eg, consultations, tests), and the plan of care for that day. The research assistants each attended daily team rounds for the entire month of August (1 for each team, switching to the opposite team after 2 weeks). This was combined with information available in the Patient Tracker, a software tool developed to improve communication between caregivers and improve discharge efficiency.8 This software tool details diagnoses, daily medical care plans, discharge criteria, and ongoing medical interventions while tracking daily changes in interventions and the medical care plan for each patient cared for on a pediatric medical team.

The research assistants subsequently presented their observations along with information from Patient Tracker to 2 experienced physicians (R.S. and B.S.) who independently determined if a delay occurred, the number of delay days extending discharge, and the cause of the delay, if present, categorized according to the taxonomy of the Delay Tool.6, 7 If there was not enough information for either of the physicians to identify and classify a delay, the electronic medical record of the patient was also reviewed. Discrepancies between physicians assigning delays were discussed until consensus was reached.

The study was approved by the Institutional Review Board of the University of Utah Health Sciences Center and Primary Children's Medical Center (PCMC).

Setting

PCMC is a 233‐bed tertiary‐care children's hospital, owned and operated by Intermountain Healthcare (a not‐for‐profit vertically integrated managed care organization) in the Intermountain West, which serves as both the primary hospital for Salt Lake County and as a tertiary‐care children's hospital for 5 states (UT, MT, WY, ID, and NV).9

Study Definitions

Delay and Length of Delay

Delays in discharge were measured using a validated and reliable instrument, the Delay Tool.6, 7 A discharge was classified as delayed if there was no medical reason for the patient to be in the hospital on a given day, identical to the definition used in the original studies to validate the tool. Delays were recorded as whole days, not fractions of days or hours, as described in the original validation of the tool. For example, if the medical team requested a consultation, and the consultant's opinion was rendered late, but the patient would have remained in the hospital anyway, then this period of time would not count as a delay. However, if the medical team did not receive a consultant's opinion within the standard time (24 hours as defined for this study and in validating studies for the Delay Tool), and the patient's sole reason for being in the hospital during that day was waiting for that opinion, then that period of time would count toward a delay due to a late consultative opinion. Delays of less than 1 day, due to the mechanics of discharging a patient from the hospital (providing prescriptions, follow up, communication, arranging home health, and transportation) were not measured in this study, to match the original methodology of the Delay Tool.

Type of Delay

Primary reason for delay was assigned according to the taxonomy of the Delay Tool.6, 7 Delays were categorized to 1 of the following: (1) test scheduling; (2) obtaining test results; (3) surgery; (4) consultation; (5) patient (eg, family unavailable for decision‐making); (6) physician responsibility; (7) education, training. or research; (8) discharge planning or scheduling; and (9) availability of outside care and resources. There are 166 subcategories that clarify why a delay occurred. For example, within the main category of obtaining test results (2), there are 3 subcategories of delays related to problem in executing the test (2.1), return of results is delayed (2.2), and test results not reviewed within standard time of return (2.3). Subcategories are further divided to provide detail on the cause of delay. For example, a delay categorized as a 2.1:1 [(2) obtaining test results; (2.1) problem in executing the test; and 2.1:1 test to be done by MD is delayed beyond day desired], or 2.3:1 [(2) obtaining test results; (2.3) test results not reviewed within standard time of return; and 2.3:1 delay because physician did not review results]) both relate to physician causes of delays within the general category of obtaining test results. Some delays had more than 1 cause. A secondary cause of delay was assigned if applicable; however, the number of days delayed was attributed to the primary cause for analysis purposes.

Exemptions to Delay and Special Populations

Certain subpopulations of patients presented unique issues that led to them being unlikely to be classified as having a delay. For example, patients with a diagnosis of new onset of type 1 diabetes are historically admitted for 3 days at our hospital, which includes a specific education program; delays were not considered until this minimum period had passed. Children with medically complex care (eg, multisystem disease, multiple specialists involved, multiple medications) were included in this study.10 However, these children with frequent hospital admission were often fragile at discharge, and could meet criteria for readmission even on the date of their discharge, hence assigning a delay day was usually not indicated because of easily justified ongoing medical need for hospitalization.

Study Variables

The LOS, total costs, and routine demographic and administrative data for each study patient were extracted from Intermountain Healthcare's Enterprise Data Warehouse (EDW). The EDW contains detailed data about the cost of providing health care. Costs were derived from the hospital's cost accounting program, the Standard Cost Master, which is a transaction‐based microcosting accounting system.1113

For patients whose LOS extended before August 1 or after August 31, total hospital costs were averaged per day, and only days falling inside the month of August were counted in calculating the impact the delays in discharge had on the total costs of hospitalization. Hospital days that extended outside of August were not counted in either the numerator for potential days of delay or in the denominator for total days in the hospital.

Analyses

Descriptive statistics were calculated for the number, length of days of delay, and type of delay. Interrater reliability to assign a delay was ascertained for the 2 physicians. Mean LOS, mean total costs, and standard deviations (SDs) were calculated. All analyses were performed using Statistical Analytical Software version 9.13 (SAS Institute, Cary, NC).

Results

During the 31 days of the study, 171 patients occupied hospital beds an average of 7.3 days on the 2 inpatient medical teams, for a total of 911 inpatient days. Seven patients were admitted prior to August 1; 6 of these were discharged during the month of August and 1 stayed through the entire month and was discharged in September. Three additional patients were admitted in August and discharged in September. There were 6 readmissions during the month of August, and 1 patient was excluded from the study because of lack of sufficient information. All patients with delays were able to be classified according to the Delay Tool taxonomy. Interrater reliability for the 2 study physicians was 98%.

The characteristics between the patients who did and did not experience a delay in discharge are shown in Table 1. Thirty‐nine of 171 patients (22.8%), experienced at least 1 delay day. Eighteen of 39 patients had only 1 delay day (46.2%) and 11 patients experienced 2 delayed days (28.2%) (Figure 1). The average length of delay was 2.1 days.

Figure 1
Number of patients experiencing delay by the number of delay days.
Characteristics of Patients Who Did and Did Not Experience a Delay in Discharge
 Nondelayed Patients (N = 132)Delayed Patients (N = 39)P Value
  • Continuous variables were analyzed using the Kruskal‐Wallis test.

  • Dichotomous variables were analyzed using the chi‐square test.

  • Abbreviations: APR‐DRG SOI, all‐payer‐refined diagnosis‐related groups severity of illness; ICD‐9 CM, International Classification of Diseases Clinical Modification, ninth revision; LOS, length of stay; SD, standard deviation.

Age (months), mean (SD)*22.6 (14.4)15.0 (14.6)0.009
LOS during August (days), mean (SD)*4.64 (6.1)7.64 (7.15)<0.001
Total costs during August ($), mean (SD)*10,451 (19,254)14,341 (16,241)0.002
Number of ICD‐9 CM diagnoses codes, mean (SD)*7.1 (7.4)8.5 (7.3)0.056
Number of ICD‐9 CM procedure codes, mean (SD)*1.7 (3.8)1.6 (2.6)0.068
Number of Patients with APR‐DRG SOI 3 (%)59 (44.7%)19 (48.7%)0.65

Delays attributed to physician responsibility accounted for 42.3% (16.5/39) of patient delays (conservative management or clinical decision‐making), with discharge planning delays accounting for 21.8% (family‐related, patient‐related, and hospital‐related problems), consultation for 14.1% (delay in obtaining or lack of follow‐up), test scheduling for 12.8%, and obtaining test results for 5.1% (ordering and weekend scheduling). There were no primary delays due to surgery, education and research, or unavailability of outside resources such as a skilled nursing bed. Four patients had a single additional secondary cause of delay assigned to them, related to physician responsibility, consultation, surgery and test scheduling; these were split, attributing 0.5 patients to each delay type (thus, the 17/39 patients delayed for physician responsibility was analyzed as 16.5/39) (Table 2).

Study Patients (N = 171) and Hospital Days (N = 911) with Delays
Delay CategoryNumber of Patients Experiencing Delays*Percentage of All Patients Experiencing Delays (%)Percentage of Study Patients Observed (%)Total Delay DaysAverage Length of Delays (days)Percentage of Hospital Days That Were Delay Days (%)
  • Some delays were contributed to by more than 1 category, these were split, attributing 0.5 patients to each delay type.

1. Scheduling512.82.92163.201.76
2. Obtaining results25.11.1731.500.33
3. Surgery0.51.30.291.53.000.16
4. Consultation5.514.13.2210.51.911.15
5. Patient12.60.5822.000.22
6. Physician16.542.39.6533.52.033.68
7. Education000.00000.00
8. Discharge8.521.84.9715.51.821.70
9. Outside000.00000.00
Total3910022.81822.109.00

There were 82 delay‐related hospital days of 911 total inpatient days on the 2 medical teams for August 2004 (9%). More than $170,000 in excess costs was incurred due to delay days from a total of approximately 1.9 million dollars in patient costs for the month (8.9%).

Discussion

This study finds that discharge delays in a tertiary care children's hospital are common; almost 1 in 4 patients experienced a medically unnecessary excess hospital stay of at least 1 day. The average length of a delay was 2.1 days, and overall, delays consumed 9% of pediatric hospital days and 8.9% of total costs. The most common reason for a delay was related to physician clinical care, including excessively conservative management and variability in clinical decision‐making.

Our study results are similar to the other 2 published studies that use the Delay Tool. In the adult and pediatric studies, between 10% and 30% of patients experienced a delay in discharge, with the average length of delay between 2.9 and 3 days.6, 7 Although both studies were conducted at teaching hospitals, what is particularly interesting is that they were conducted almost 20 years ago. During this period of time, there has been a shift in the inpatient pediatric patient population. In recent years, children who are cared for in the hospital have more chronic illnesses.1 In addition, there has been a shift in the types of conditions that may be cared for at home and those that now require inpatient stay.2 Despite this, delays continue at a similar proportion, but the cause of delays have shifted from scheduling and consultation to physician responsibility.

There is another tool in the literature which is more widely used, the Pediatric Appropriateness Evaluation Protocol (PAEP), which is based on the Appropriateness Evaluation Protocol for adults.1417 This tool is used to determine the appropriateness of ongoing hospitalization, not the cause of delay if ongoing hospitalization is inappropriate. The 3 areas that are evaluated (medical services, nursing and ancillary services, and patient's condition) have objective criteria that dictate if the hospitalization is appropriate or not (eg, parenteral (intravenous) therapy for at least 8 hours on that day, under nursing and ancillary services). The PAEP may be less sensitive given today's healthcare resource utilization climate. Many clinicians and families would agree that insertion of a peripheral central catheter is an acceptable form of outpatient treatment for many pediatric conditions. In conjunction with the Delay Tool, the PAEP could be used to determine if a delay occurred, then the Delay Tool used to categorize the cause of the delay. We choose to use expert clinician judgment to determine if a delay had occurred. We were more interested in why patients who are admitted (appropriately or inappropriately) cannot be discharged sooner, thus allowing for future intervention studies targeted to impact delays in discharge, as elucidated in this study. The Delay Tool specifically allowed us to categorize the reasons for delays. Given that the average LOS for patients in the nondelayed group was over 4 days, despite not using a tool such as the PAEP, we believe that these were likely to be appropriate admissions.

A recent study reported the first use of the Medical Care Appropriateness Protocol (MCAP) in a tertiary‐care children's hospital. The authors used the MCAP to determine the impact of an intervention on reducing inappropriate hospitals days for children. This tool is similarly labor‐intensive to the Delay Tool. Interestingly, this Canadian study found a high rate of inappropriate hospital days (47%), which may be in part attributable to a different outcome measurement tool and/or a different health care system.18

There are several limitations to our study that deserve mention. The Delay Tool requires clinician judgment regarding whether or not there was a delay in discharge for that day. We may have introduced some bias in our study, as hospitalist investigators assigned the delay and blinding to the attending physician specialty of record was not feasible. However, our results are similar to the other 2 published studies that have used this tool, and we specifically chose not to analyze or report results in terms of hospitalist and nonhospitalist attending physicians. The Delay Tool is not designed to differentiate shorter delays in terms of hours instead of days (eg, due to the inability for the patient to get a ride home). Shorter delays may be of particular importance depending on the occupancy rate of the hospital, the demand for beds, and other patient and hospital factors. We could not capture these shorter delays (although they did occur frequently) due to the original description of the Delay Tool. In addition, we would not have been able to report data on the impact on LOS and costs, as these are attributed to whole days in the hospital. However, if we had been able to differentiate shorter delays, this would bias our results to show a greater percentage of delays over smaller increments of time. Generalizability is an issue, given that this was a single‐center study. This study sample included over 80 different attending physicians participating in community pediatrician, subspecialty, and hospitalist practice groups. However, the patient population at PCMC is similar to other medium and large children's hospitals in the United States. The month observed may not reflect the entire year of hospitalizationsthere may be seasonal variations with delays depending on the volume and type of illness seen. The study was conducted in August, when there are newer house staff present. However, physician responsibility, which was the largest source of delays in our study, had little attribution to house staff. Most of the decisions were those of attending physicians, which would largely be unaffected by the time of year of the study. Finally, we were unable to assess the safety of the potential earlier discharge, as this was an observational study. However, in any future intervention studies examining processes to discharge patients sooner, measures of safety to the patient are a necessity. Finally, given the potential of ongoing admission, even on the date of discharge of our most fragile patients, this approach to discovering causes of delay may not apply to this important group, which is responsible for significant and growing resource utilization.

Despite these limitations, our findings demonstrate that in an era of children staying in the hospital less, and more medically‐complex children being admitted,10 a substantial number of children who are hospitalized at a children's hospital may have been discharged sooner. The majority of these decisions were directly related to physician responsibility. As consumers, providers, and hospitals work together to develop quality measures that are reflective of inpatient pediatric care, the Delay Tool may be able to highlight 2 aims of quality (ie, timeliness and efficiency of care) that could be used to assess the impact of interventions designed to safely discharge patients sooner. Interventions such as audit‐feedback,18 clinical guideline deployment,19 and hospitalist systems of care4 continue to hold the promise of earlier discharge; however, tools designed to measure inappropriate use of hospital days should be employed to demonstrate their effectiveness. Our study demonstrates ongoing waste in children's hospitals.

Conclusions

Almost 1 out of 4 patients in this 1‐month period could have been discharged sooner than they were. The impact of delays on costs and LOS are substantial and should provide strong incentives to develop effective interventions. Such interventions will need to address variations in physician criteria for discharge, more efficient discharge planning, and timely scheduling of consultation and diagnostic testing.

Acknowledgements

The authors thank Joni R. Beshanky and Harry Selker for their help and training in the use of the Delay Tool.

References
  1. Wise PH.The transformation of child health in the United States: social disparities in child health persistent despite dramatic improvement in child health overall.Health Aff (Millwood).2004;23(5):925.
  2. Srivastava R, Muret‐Wagstaff S, Young P, James BC.Hospitalist care of medically complex children.Pediatr Res.2004;55(4):314A315A.
  3. Landrigan CP, Conway PH, Edwards S, Srivastava R.Pediatric hospitalists: a systematic review of the literature.Pediatrics.2006;117(5):17361744.
  4. Lye PS, Rauch DA, Ottolini MC, et al.Pediatric hospitalists: report of a leadership conference.Pediatrics.2006;117(4):11221130.
  5. Institute of Medicine.Crossing the Quality Chasm: A New Health System for the Twenty‐first Century.Washington, DC:National Academy Press;2001.
  6. Klein JD, Beshansky JR, Selker HP.Using the Delay Tool to attribute causes for unnecessary pediatric hospital days.Med Care.1990;28(10):982989.
  7. Selker HP, Beshansky JR, Pauker SG, Kassirer JP.The epidemiology of delays in a teaching hospital. The development and use of a tool that detects unnecessary hospital days.Med Care.1989;27(2):112129.
  8. Maloney C, Wolfe D, Gesteland P, Hales J, Nkoy F.A tool for improving patient discharge process and hospital communication practices: the Patient Tracker.AMIA Annu Symp Proc.2007;11:493497.
  9. Norlin C, Osborn LM.Organizational responses to managed care: issues for academic health centers and implications for pediatric programs.Pediatrics.1998;101(4 Pt 2):805811; discussion 811–802.
  10. Srivastava R, Stone BL, Murphy NA.Hospitalist care of the medically complex child.Pediatr Clin North Am.2005;52(4):11651187.
  11. Ampofo K, Gesteland PH, Bender J, et al.Epidemiology, complications, and cost of hospitalization in children with laboratory‐confirmed influenza infection.Pediatrics.2006;118(6):24092417.
  12. Harbarth S, Burke JP, Lloyd JF, Evans RS, Pestotnik SL, Samore MH.Clinical and economic outcomes of conventional amphotericin B‐associated nephrotoxicity.Clin Infect Dis.2002;35(12):e120e127.
  13. Evans RS, Classen DC, Stevens LE, et al.Using a hospital information system to assess the effects of adverse drug events.Proc Annu Symp Comput Appl Med Care.1993;1993:161165.
  14. Gloor JE, Kissoon N, Joubert GI.Appropriateness of hospitalization in a Canadian pediatric hospital.Pediatrics.1993;91(1):7074.
  15. Formby DJ, McMullin ND, Danagher K, Oldham DR.The appropriateness evaluation protocol: application in an Australian children's hospital.Aust Clin Rev.1991;11(4):123131.
  16. Kreger BE, Restuccia JD.Assessing the need to hospitalize children: pediatric appropriateness evaluation protocol.Pediatrics.1989;84(2):242247.
  17. Kemper KJ.Medically inappropriate hospital use in a pediatric population.N Engl J Med.1988;318(16):10331037.
  18. Mahant S, Peterson R, Campbell M, MacGregor DL, Friedman JN.Reducing inappropriate hospital use on a general pediatric inpatient unit.Pediatrics.2008;121(5):e1068e1073.
  19. Simmons JM, Kotagal UR.Reliable implementation of clinical pathways: what will it take—that is the question.J Pediatr.2008;152(3):303304.
References
  1. Wise PH.The transformation of child health in the United States: social disparities in child health persistent despite dramatic improvement in child health overall.Health Aff (Millwood).2004;23(5):925.
  2. Srivastava R, Muret‐Wagstaff S, Young P, James BC.Hospitalist care of medically complex children.Pediatr Res.2004;55(4):314A315A.
  3. Landrigan CP, Conway PH, Edwards S, Srivastava R.Pediatric hospitalists: a systematic review of the literature.Pediatrics.2006;117(5):17361744.
  4. Lye PS, Rauch DA, Ottolini MC, et al.Pediatric hospitalists: report of a leadership conference.Pediatrics.2006;117(4):11221130.
  5. Institute of Medicine.Crossing the Quality Chasm: A New Health System for the Twenty‐first Century.Washington, DC:National Academy Press;2001.
  6. Klein JD, Beshansky JR, Selker HP.Using the Delay Tool to attribute causes for unnecessary pediatric hospital days.Med Care.1990;28(10):982989.
  7. Selker HP, Beshansky JR, Pauker SG, Kassirer JP.The epidemiology of delays in a teaching hospital. The development and use of a tool that detects unnecessary hospital days.Med Care.1989;27(2):112129.
  8. Maloney C, Wolfe D, Gesteland P, Hales J, Nkoy F.A tool for improving patient discharge process and hospital communication practices: the Patient Tracker.AMIA Annu Symp Proc.2007;11:493497.
  9. Norlin C, Osborn LM.Organizational responses to managed care: issues for academic health centers and implications for pediatric programs.Pediatrics.1998;101(4 Pt 2):805811; discussion 811–802.
  10. Srivastava R, Stone BL, Murphy NA.Hospitalist care of the medically complex child.Pediatr Clin North Am.2005;52(4):11651187.
  11. Ampofo K, Gesteland PH, Bender J, et al.Epidemiology, complications, and cost of hospitalization in children with laboratory‐confirmed influenza infection.Pediatrics.2006;118(6):24092417.
  12. Harbarth S, Burke JP, Lloyd JF, Evans RS, Pestotnik SL, Samore MH.Clinical and economic outcomes of conventional amphotericin B‐associated nephrotoxicity.Clin Infect Dis.2002;35(12):e120e127.
  13. Evans RS, Classen DC, Stevens LE, et al.Using a hospital information system to assess the effects of adverse drug events.Proc Annu Symp Comput Appl Med Care.1993;1993:161165.
  14. Gloor JE, Kissoon N, Joubert GI.Appropriateness of hospitalization in a Canadian pediatric hospital.Pediatrics.1993;91(1):7074.
  15. Formby DJ, McMullin ND, Danagher K, Oldham DR.The appropriateness evaluation protocol: application in an Australian children's hospital.Aust Clin Rev.1991;11(4):123131.
  16. Kreger BE, Restuccia JD.Assessing the need to hospitalize children: pediatric appropriateness evaluation protocol.Pediatrics.1989;84(2):242247.
  17. Kemper KJ.Medically inappropriate hospital use in a pediatric population.N Engl J Med.1988;318(16):10331037.
  18. Mahant S, Peterson R, Campbell M, MacGregor DL, Friedman JN.Reducing inappropriate hospital use on a general pediatric inpatient unit.Pediatrics.2008;121(5):e1068e1073.
  19. Simmons JM, Kotagal UR.Reliable implementation of clinical pathways: what will it take—that is the question.J Pediatr.2008;152(3):303304.
Issue
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Delays in discharge in a tertiary care pediatric hospital
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Delays in discharge in a tertiary care pediatric hospital
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World Mental Health Day: Preventing suicide

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Changed
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Increased engagement of men in mental health services is needed

 

Each year, the World Federation of Mental Health chooses a theme for World Mental Health Day, which is Oct. 10. This year’s theme is “Mental Health Promotion and Suicide Prevention.”

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About 800,000 people die by suicide every year, according to the World Health Organization. Suicide is the second-leading cause of death among people aged 15-29 years.1

Most suicide occurs in low- and middle-income countries, the WHO reports. In addition, almost two-thirds of those deaths around the world occur in males, a recent study shows.2 The study, conducted by Danah Alothman and Andrew Fogarty, MBBS, of the NIHR Biomedical Research Center at the University of Nottingham (England), looked at sex-specific suicide rates for 182 countries in 2015.

They found that the highest difference between male:female suicide rates were in the Americas (median, 4:1/100,000), and the lowest were in Africa and Asia (median for both continents, 2.7:1/100,000).

“The implication is that as societies become richer and more educated, males have a higher risk of dying as a consequence of suicide relative to females,” they wrote in the Journal of Affective Disorders.

For clinicians who treat patients with mental illness, particularly those of us who practice in the Americas, this sex differential is concerning. We know that women are more likely to be diagnosed the depression.3 But perhaps this has something to do with the way men are socialized around the world. In other words, as John S. Ogrodniczuk, PhD, and John L. Oliffe, PhD, wrote,4 depression in men “often manifests as irritability; anger; hostile, aggressive, abusive behavior; risk taking, substance abuse; and escaping behavior.” They argue that the outward behavior shown by some men with depression might, in fact, “serve as a cover-up mechanism to hide the internal turmoil” they are experiencing. We certainly know that some men adhere to masculine norms such as stoicism, which in turn, heightens self-stigma. Unfortunately, men seek help for depression less often than do women.5 So one key question becomes: What can we as mental health professionals do to better meet the treatment needs of our male patients?



I would like to see more clinical interventions that are tailored to increase the engagement of men in mental health services. One example of a program that could hold promise in this area is one called Men at Risk. That program, developed by the nonprofit Centre for Suicide Prevention, in Grande Prairie, Alta., helps men who work in the oil, forestry, and agriculture sectors talk about their challenges and encourages them to let go of stigma.6

Factors other than male gender also might increase the likelihood of suicide. It has rightly been said that genetics and environment play a big role on the psyche of the individuals, and the act of suicide is no different when we discuss the etiologic factors that lead to perpetration of such an act. Genetic vulnerability is a factor that cannot be modified or altered in an easy way, hence, control of environmental factors is more pertinent.

Poverty and violence are two major detrimental factors that have reached alarming proportions and can lead people end their lives.

The developing countries, and now to a significant extent, developed countries, face terrorism that affect the human psyche and can lead to depression, psychosis, and substance abuse, and hence, increase the vulnerability toward the act of suicide. In our offices, we psychiatrists come across patients with borderline personality disorder, for example, who present to emergency departments with multiple and repeated suicidal attempts. There is a big role of genetics here – and role of specific interventions, such as dialectical behavior therapy. Pharmacologic treatment can play a vital role.

In order to make the world a safe place, joint global efforts are required. Enhanced security steps, improved immigration screening, and political will are essential to curb this heartbreaking act. Responsible reporting on the part of the media is needed to make suicide contagion less likely.7

Dr. Amin A. Muhammad

Among other important measures are reducing access to guns and other firearms, and increasing health education about consumption of alcohol and other substances. We also need early identification and prompt treatment of mental illnesses; alleviation of poverty; mobilization of community supports; activation of multiple crisis lines; increased availability and affordability of psychotropic medications; reduction of waiting times for seeking treatment of mental illness; enhanced training of crisis workers; and refresher courses for psychiatrists, family physicians, and other allied mental health workers. Above all, strategies are needed to address the stigma associated with seeking help for mental health issues.

Suicide is a global public health issue, and it is of the utmost importance that a collaborative effort be placed in perspective by individual countries within their own health-related policies and parameters.

Good-quality data on suicide prevalence rates would be of the utmost help in understanding the magnitude of this grave problem. The WHO Mental Health Action Plan 2013-2020 indicates the commitment of member states to work toward the global target of reducing the suicide rate in countries by 10% by 2020.

Individual and collective efforts should become the priority to achieve this target going forward.
 

References

1. World Health Organization. Suicide. 2019 Sep 2.

2. Alothman D and A Fogarty. J Affect Disord. 2020 Jan 1. doi: 10.1016/j.jad.2019.08.093.

3. Albert PR. J Psychiatry Neurosci. 2015 Jul;40(4):219-21.

4. Ogrodniczuk JS and JL Oliffe. Can Fam Physician. 2011;57(2):153-5.

5. Seidler ZE et al. Clin Psychology Rev. 2016;49:106-18.

6. Ellwand O. Men at risk program helping men in Alberta trades, industry, agriculture struggling with mental health issues. Edmonton Sun. 2016 Mar 27.

7. American Association of Suicidology, et al. Recommendations for reporting on suicide.
 

Dr. Muhammad is clinical professor of psychiatry and consultant psychiatrist at Niagara Health Service, St. Catharines, Ont.

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Increased engagement of men in mental health services is needed

Increased engagement of men in mental health services is needed

 

Each year, the World Federation of Mental Health chooses a theme for World Mental Health Day, which is Oct. 10. This year’s theme is “Mental Health Promotion and Suicide Prevention.”

Vstock LLC/ThinkStock

About 800,000 people die by suicide every year, according to the World Health Organization. Suicide is the second-leading cause of death among people aged 15-29 years.1

Most suicide occurs in low- and middle-income countries, the WHO reports. In addition, almost two-thirds of those deaths around the world occur in males, a recent study shows.2 The study, conducted by Danah Alothman and Andrew Fogarty, MBBS, of the NIHR Biomedical Research Center at the University of Nottingham (England), looked at sex-specific suicide rates for 182 countries in 2015.

They found that the highest difference between male:female suicide rates were in the Americas (median, 4:1/100,000), and the lowest were in Africa and Asia (median for both continents, 2.7:1/100,000).

“The implication is that as societies become richer and more educated, males have a higher risk of dying as a consequence of suicide relative to females,” they wrote in the Journal of Affective Disorders.

For clinicians who treat patients with mental illness, particularly those of us who practice in the Americas, this sex differential is concerning. We know that women are more likely to be diagnosed the depression.3 But perhaps this has something to do with the way men are socialized around the world. In other words, as John S. Ogrodniczuk, PhD, and John L. Oliffe, PhD, wrote,4 depression in men “often manifests as irritability; anger; hostile, aggressive, abusive behavior; risk taking, substance abuse; and escaping behavior.” They argue that the outward behavior shown by some men with depression might, in fact, “serve as a cover-up mechanism to hide the internal turmoil” they are experiencing. We certainly know that some men adhere to masculine norms such as stoicism, which in turn, heightens self-stigma. Unfortunately, men seek help for depression less often than do women.5 So one key question becomes: What can we as mental health professionals do to better meet the treatment needs of our male patients?



I would like to see more clinical interventions that are tailored to increase the engagement of men in mental health services. One example of a program that could hold promise in this area is one called Men at Risk. That program, developed by the nonprofit Centre for Suicide Prevention, in Grande Prairie, Alta., helps men who work in the oil, forestry, and agriculture sectors talk about their challenges and encourages them to let go of stigma.6

Factors other than male gender also might increase the likelihood of suicide. It has rightly been said that genetics and environment play a big role on the psyche of the individuals, and the act of suicide is no different when we discuss the etiologic factors that lead to perpetration of such an act. Genetic vulnerability is a factor that cannot be modified or altered in an easy way, hence, control of environmental factors is more pertinent.

Poverty and violence are two major detrimental factors that have reached alarming proportions and can lead people end their lives.

The developing countries, and now to a significant extent, developed countries, face terrorism that affect the human psyche and can lead to depression, psychosis, and substance abuse, and hence, increase the vulnerability toward the act of suicide. In our offices, we psychiatrists come across patients with borderline personality disorder, for example, who present to emergency departments with multiple and repeated suicidal attempts. There is a big role of genetics here – and role of specific interventions, such as dialectical behavior therapy. Pharmacologic treatment can play a vital role.

In order to make the world a safe place, joint global efforts are required. Enhanced security steps, improved immigration screening, and political will are essential to curb this heartbreaking act. Responsible reporting on the part of the media is needed to make suicide contagion less likely.7

Dr. Amin A. Muhammad

Among other important measures are reducing access to guns and other firearms, and increasing health education about consumption of alcohol and other substances. We also need early identification and prompt treatment of mental illnesses; alleviation of poverty; mobilization of community supports; activation of multiple crisis lines; increased availability and affordability of psychotropic medications; reduction of waiting times for seeking treatment of mental illness; enhanced training of crisis workers; and refresher courses for psychiatrists, family physicians, and other allied mental health workers. Above all, strategies are needed to address the stigma associated with seeking help for mental health issues.

Suicide is a global public health issue, and it is of the utmost importance that a collaborative effort be placed in perspective by individual countries within their own health-related policies and parameters.

Good-quality data on suicide prevalence rates would be of the utmost help in understanding the magnitude of this grave problem. The WHO Mental Health Action Plan 2013-2020 indicates the commitment of member states to work toward the global target of reducing the suicide rate in countries by 10% by 2020.

Individual and collective efforts should become the priority to achieve this target going forward.
 

References

1. World Health Organization. Suicide. 2019 Sep 2.

2. Alothman D and A Fogarty. J Affect Disord. 2020 Jan 1. doi: 10.1016/j.jad.2019.08.093.

3. Albert PR. J Psychiatry Neurosci. 2015 Jul;40(4):219-21.

4. Ogrodniczuk JS and JL Oliffe. Can Fam Physician. 2011;57(2):153-5.

5. Seidler ZE et al. Clin Psychology Rev. 2016;49:106-18.

6. Ellwand O. Men at risk program helping men in Alberta trades, industry, agriculture struggling with mental health issues. Edmonton Sun. 2016 Mar 27.

7. American Association of Suicidology, et al. Recommendations for reporting on suicide.
 

Dr. Muhammad is clinical professor of psychiatry and consultant psychiatrist at Niagara Health Service, St. Catharines, Ont.

 

Each year, the World Federation of Mental Health chooses a theme for World Mental Health Day, which is Oct. 10. This year’s theme is “Mental Health Promotion and Suicide Prevention.”

Vstock LLC/ThinkStock

About 800,000 people die by suicide every year, according to the World Health Organization. Suicide is the second-leading cause of death among people aged 15-29 years.1

Most suicide occurs in low- and middle-income countries, the WHO reports. In addition, almost two-thirds of those deaths around the world occur in males, a recent study shows.2 The study, conducted by Danah Alothman and Andrew Fogarty, MBBS, of the NIHR Biomedical Research Center at the University of Nottingham (England), looked at sex-specific suicide rates for 182 countries in 2015.

They found that the highest difference between male:female suicide rates were in the Americas (median, 4:1/100,000), and the lowest were in Africa and Asia (median for both continents, 2.7:1/100,000).

“The implication is that as societies become richer and more educated, males have a higher risk of dying as a consequence of suicide relative to females,” they wrote in the Journal of Affective Disorders.

For clinicians who treat patients with mental illness, particularly those of us who practice in the Americas, this sex differential is concerning. We know that women are more likely to be diagnosed the depression.3 But perhaps this has something to do with the way men are socialized around the world. In other words, as John S. Ogrodniczuk, PhD, and John L. Oliffe, PhD, wrote,4 depression in men “often manifests as irritability; anger; hostile, aggressive, abusive behavior; risk taking, substance abuse; and escaping behavior.” They argue that the outward behavior shown by some men with depression might, in fact, “serve as a cover-up mechanism to hide the internal turmoil” they are experiencing. We certainly know that some men adhere to masculine norms such as stoicism, which in turn, heightens self-stigma. Unfortunately, men seek help for depression less often than do women.5 So one key question becomes: What can we as mental health professionals do to better meet the treatment needs of our male patients?



I would like to see more clinical interventions that are tailored to increase the engagement of men in mental health services. One example of a program that could hold promise in this area is one called Men at Risk. That program, developed by the nonprofit Centre for Suicide Prevention, in Grande Prairie, Alta., helps men who work in the oil, forestry, and agriculture sectors talk about their challenges and encourages them to let go of stigma.6

Factors other than male gender also might increase the likelihood of suicide. It has rightly been said that genetics and environment play a big role on the psyche of the individuals, and the act of suicide is no different when we discuss the etiologic factors that lead to perpetration of such an act. Genetic vulnerability is a factor that cannot be modified or altered in an easy way, hence, control of environmental factors is more pertinent.

Poverty and violence are two major detrimental factors that have reached alarming proportions and can lead people end their lives.

The developing countries, and now to a significant extent, developed countries, face terrorism that affect the human psyche and can lead to depression, psychosis, and substance abuse, and hence, increase the vulnerability toward the act of suicide. In our offices, we psychiatrists come across patients with borderline personality disorder, for example, who present to emergency departments with multiple and repeated suicidal attempts. There is a big role of genetics here – and role of specific interventions, such as dialectical behavior therapy. Pharmacologic treatment can play a vital role.

In order to make the world a safe place, joint global efforts are required. Enhanced security steps, improved immigration screening, and political will are essential to curb this heartbreaking act. Responsible reporting on the part of the media is needed to make suicide contagion less likely.7

Dr. Amin A. Muhammad

Among other important measures are reducing access to guns and other firearms, and increasing health education about consumption of alcohol and other substances. We also need early identification and prompt treatment of mental illnesses; alleviation of poverty; mobilization of community supports; activation of multiple crisis lines; increased availability and affordability of psychotropic medications; reduction of waiting times for seeking treatment of mental illness; enhanced training of crisis workers; and refresher courses for psychiatrists, family physicians, and other allied mental health workers. Above all, strategies are needed to address the stigma associated with seeking help for mental health issues.

Suicide is a global public health issue, and it is of the utmost importance that a collaborative effort be placed in perspective by individual countries within their own health-related policies and parameters.

Good-quality data on suicide prevalence rates would be of the utmost help in understanding the magnitude of this grave problem. The WHO Mental Health Action Plan 2013-2020 indicates the commitment of member states to work toward the global target of reducing the suicide rate in countries by 10% by 2020.

Individual and collective efforts should become the priority to achieve this target going forward.
 

References

1. World Health Organization. Suicide. 2019 Sep 2.

2. Alothman D and A Fogarty. J Affect Disord. 2020 Jan 1. doi: 10.1016/j.jad.2019.08.093.

3. Albert PR. J Psychiatry Neurosci. 2015 Jul;40(4):219-21.

4. Ogrodniczuk JS and JL Oliffe. Can Fam Physician. 2011;57(2):153-5.

5. Seidler ZE et al. Clin Psychology Rev. 2016;49:106-18.

6. Ellwand O. Men at risk program helping men in Alberta trades, industry, agriculture struggling with mental health issues. Edmonton Sun. 2016 Mar 27.

7. American Association of Suicidology, et al. Recommendations for reporting on suicide.
 

Dr. Muhammad is clinical professor of psychiatry and consultant psychiatrist at Niagara Health Service, St. Catharines, Ont.

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Vorinostat demonstrates consistent safety

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Vorinostat demonstrates consistent safety

Berlin, Germany—Vorinostat demonstrates safety and tolerability alone and in combination with other systemic treatments for a wide range of solid and hematologic malignancies, according to a study of collated data from the vorinostat clinical trial program.

Investigators presented the safety data in a poster at the ECCO 15 - 34th ESMO Multidisciplinary Congress. The data suggest that a supratherapeutic single dose (800 mg) of this orally active histone deacetylase inhibitor does not prolong ventricular repolarization to a significant degree. This is reassuring, since cardiac rhythm and EEG changes are thought to be a class effect of HDACs.

Lead author David Siegel, MD, from Hackensack University Medical Center, Hackensack, New Jersey, and his fellow researchers observed that the study data support the overall safety profile of vorinostat use in cancer patients.

They based their analysis on 18 phase 1 and phase 2 vorinostat trials that included 498 patients, 341 who received the agent as monotherapy and 157 treated with the drug in combination with other therapies.

Vorinostat is approved by the US Food and Drug Administration to treat relapsed or refractory cutaneous T-cell lymphoma and was dosed at the approved level of 400 mg/day for 156 of the 341 patients in the monotherapy cohort. In the combination group, vorinostat was given on weekly or 2-weekly schedules instead of continuous dosing. 

In the monotherapy group, the most commonly reported treatment-related adverse events were fatigue (61.9%), nausea (55.7%), diarrhea (49.3%), and anorexia (48.1%). The most common grade 3/4 adverse events were fatigue (12.0%), thrombocytopenia (10.6%), dehydration (7.0%), decreased platelet count (5.3%), and anorexia (5.0%).

Seventy-one (20.8%) patients required dose modifications for toxicity and 38 (11.1%) discontinued study medication due to drug-related adverse events. Three drug-related adverse events led to death.

In the combination treatment cohort, nausea (48.4%), diarrhea (40.8%), fatigue (34.4%), and vomiting (31.2%) were the most commonly reported adverse events. The most common grade 3/4 adverse events were fatigue (13.4%), thrombocytopenia (9.6%), neutropenia (8.3%), diarrhea (5.7%), and nausea. 

Dose modifications were required in 27 patients (17.2%). Discontinuation due to adverse events was necessary in 31 patients (19.7%), and 1 death was attributed to vorinostat combination treatment.

The QTc phase 1 substudy was randomized, partially blind, and placebo-controlled. None of the 22 evaluable patients included in the analysis experienced a QtcF change greater than 30 msec from their baseline scores.

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Berlin, Germany—Vorinostat demonstrates safety and tolerability alone and in combination with other systemic treatments for a wide range of solid and hematologic malignancies, according to a study of collated data from the vorinostat clinical trial program.

Investigators presented the safety data in a poster at the ECCO 15 - 34th ESMO Multidisciplinary Congress. The data suggest that a supratherapeutic single dose (800 mg) of this orally active histone deacetylase inhibitor does not prolong ventricular repolarization to a significant degree. This is reassuring, since cardiac rhythm and EEG changes are thought to be a class effect of HDACs.

Lead author David Siegel, MD, from Hackensack University Medical Center, Hackensack, New Jersey, and his fellow researchers observed that the study data support the overall safety profile of vorinostat use in cancer patients.

They based their analysis on 18 phase 1 and phase 2 vorinostat trials that included 498 patients, 341 who received the agent as monotherapy and 157 treated with the drug in combination with other therapies.

Vorinostat is approved by the US Food and Drug Administration to treat relapsed or refractory cutaneous T-cell lymphoma and was dosed at the approved level of 400 mg/day for 156 of the 341 patients in the monotherapy cohort. In the combination group, vorinostat was given on weekly or 2-weekly schedules instead of continuous dosing. 

In the monotherapy group, the most commonly reported treatment-related adverse events were fatigue (61.9%), nausea (55.7%), diarrhea (49.3%), and anorexia (48.1%). The most common grade 3/4 adverse events were fatigue (12.0%), thrombocytopenia (10.6%), dehydration (7.0%), decreased platelet count (5.3%), and anorexia (5.0%).

Seventy-one (20.8%) patients required dose modifications for toxicity and 38 (11.1%) discontinued study medication due to drug-related adverse events. Three drug-related adverse events led to death.

In the combination treatment cohort, nausea (48.4%), diarrhea (40.8%), fatigue (34.4%), and vomiting (31.2%) were the most commonly reported adverse events. The most common grade 3/4 adverse events were fatigue (13.4%), thrombocytopenia (9.6%), neutropenia (8.3%), diarrhea (5.7%), and nausea. 

Dose modifications were required in 27 patients (17.2%). Discontinuation due to adverse events was necessary in 31 patients (19.7%), and 1 death was attributed to vorinostat combination treatment.

The QTc phase 1 substudy was randomized, partially blind, and placebo-controlled. None of the 22 evaluable patients included in the analysis experienced a QtcF change greater than 30 msec from their baseline scores.

Berlin, Germany—Vorinostat demonstrates safety and tolerability alone and in combination with other systemic treatments for a wide range of solid and hematologic malignancies, according to a study of collated data from the vorinostat clinical trial program.

Investigators presented the safety data in a poster at the ECCO 15 - 34th ESMO Multidisciplinary Congress. The data suggest that a supratherapeutic single dose (800 mg) of this orally active histone deacetylase inhibitor does not prolong ventricular repolarization to a significant degree. This is reassuring, since cardiac rhythm and EEG changes are thought to be a class effect of HDACs.

Lead author David Siegel, MD, from Hackensack University Medical Center, Hackensack, New Jersey, and his fellow researchers observed that the study data support the overall safety profile of vorinostat use in cancer patients.

They based their analysis on 18 phase 1 and phase 2 vorinostat trials that included 498 patients, 341 who received the agent as monotherapy and 157 treated with the drug in combination with other therapies.

Vorinostat is approved by the US Food and Drug Administration to treat relapsed or refractory cutaneous T-cell lymphoma and was dosed at the approved level of 400 mg/day for 156 of the 341 patients in the monotherapy cohort. In the combination group, vorinostat was given on weekly or 2-weekly schedules instead of continuous dosing. 

In the monotherapy group, the most commonly reported treatment-related adverse events were fatigue (61.9%), nausea (55.7%), diarrhea (49.3%), and anorexia (48.1%). The most common grade 3/4 adverse events were fatigue (12.0%), thrombocytopenia (10.6%), dehydration (7.0%), decreased platelet count (5.3%), and anorexia (5.0%).

Seventy-one (20.8%) patients required dose modifications for toxicity and 38 (11.1%) discontinued study medication due to drug-related adverse events. Three drug-related adverse events led to death.

In the combination treatment cohort, nausea (48.4%), diarrhea (40.8%), fatigue (34.4%), and vomiting (31.2%) were the most commonly reported adverse events. The most common grade 3/4 adverse events were fatigue (13.4%), thrombocytopenia (9.6%), neutropenia (8.3%), diarrhea (5.7%), and nausea. 

Dose modifications were required in 27 patients (17.2%). Discontinuation due to adverse events was necessary in 31 patients (19.7%), and 1 death was attributed to vorinostat combination treatment.

The QTc phase 1 substudy was randomized, partially blind, and placebo-controlled. None of the 22 evaluable patients included in the analysis experienced a QtcF change greater than 30 msec from their baseline scores.

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Algorithm for Success

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The use of a procalcitonin (PCT) algorithm reduced the usage of antibiotics in patients with lower-respiratory-tract infections (LTRI), according to a recent study that may highlight a new way for hospitalists to reduce costs.

The study found the mean duration of antibiotics exposure in the PCT group was lower than in a control group (5.7 days vs. 8.7 days). The researchers, who studied 1,359 patients at six tertiary-care hospitals in Switzerland, also reported less-frequent antibiotic-associated adverse effects, such as nausea, rashes or diarrhea, in the PCT group (JAMA. 2009;302(10):1059-1066).

Scott Flanders, MD, FHM, SHM president and director of the hospitalist program at the University of Michigan Health System in Ann Arbor, says if further review were to show more statistical impacts on costs savings, PCT usage would become more common.

"If you can reduce length-of-stay by half through treatment intervention, then this will easily pay for itself," says Dr. Flanders, who adds, "Hospitalists need to know and have at their fingertips the best avenues of treatment."

Devendra Amin, MD, director of critical-care services at Morton Plant Hospital in Clearwater, Fla., was one of the first physicians to use PCT tests after the Food and Drug Administration (FDA) approved wider usage last year. He says the overuse of antibiotics is a needless cost overrun that hospitalists using PCT tests could better control—and then tout as an example of their ability to reduce costs. Dr. Amin plans to team with a half-dozen of his health system's hospitalists next year to work on a study of the effectiveness of PCT in a community hospital setting.

"If everything else fits, it's another piece of information that's important to the puzzle," Dr. Amin says. "No single test in isolation is going to give you everything you want … but this can help."

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The use of a procalcitonin (PCT) algorithm reduced the usage of antibiotics in patients with lower-respiratory-tract infections (LTRI), according to a recent study that may highlight a new way for hospitalists to reduce costs.

The study found the mean duration of antibiotics exposure in the PCT group was lower than in a control group (5.7 days vs. 8.7 days). The researchers, who studied 1,359 patients at six tertiary-care hospitals in Switzerland, also reported less-frequent antibiotic-associated adverse effects, such as nausea, rashes or diarrhea, in the PCT group (JAMA. 2009;302(10):1059-1066).

Scott Flanders, MD, FHM, SHM president and director of the hospitalist program at the University of Michigan Health System in Ann Arbor, says if further review were to show more statistical impacts on costs savings, PCT usage would become more common.

"If you can reduce length-of-stay by half through treatment intervention, then this will easily pay for itself," says Dr. Flanders, who adds, "Hospitalists need to know and have at their fingertips the best avenues of treatment."

Devendra Amin, MD, director of critical-care services at Morton Plant Hospital in Clearwater, Fla., was one of the first physicians to use PCT tests after the Food and Drug Administration (FDA) approved wider usage last year. He says the overuse of antibiotics is a needless cost overrun that hospitalists using PCT tests could better control—and then tout as an example of their ability to reduce costs. Dr. Amin plans to team with a half-dozen of his health system's hospitalists next year to work on a study of the effectiveness of PCT in a community hospital setting.

"If everything else fits, it's another piece of information that's important to the puzzle," Dr. Amin says. "No single test in isolation is going to give you everything you want … but this can help."

The use of a procalcitonin (PCT) algorithm reduced the usage of antibiotics in patients with lower-respiratory-tract infections (LTRI), according to a recent study that may highlight a new way for hospitalists to reduce costs.

The study found the mean duration of antibiotics exposure in the PCT group was lower than in a control group (5.7 days vs. 8.7 days). The researchers, who studied 1,359 patients at six tertiary-care hospitals in Switzerland, also reported less-frequent antibiotic-associated adverse effects, such as nausea, rashes or diarrhea, in the PCT group (JAMA. 2009;302(10):1059-1066).

Scott Flanders, MD, FHM, SHM president and director of the hospitalist program at the University of Michigan Health System in Ann Arbor, says if further review were to show more statistical impacts on costs savings, PCT usage would become more common.

"If you can reduce length-of-stay by half through treatment intervention, then this will easily pay for itself," says Dr. Flanders, who adds, "Hospitalists need to know and have at their fingertips the best avenues of treatment."

Devendra Amin, MD, director of critical-care services at Morton Plant Hospital in Clearwater, Fla., was one of the first physicians to use PCT tests after the Food and Drug Administration (FDA) approved wider usage last year. He says the overuse of antibiotics is a needless cost overrun that hospitalists using PCT tests could better control—and then tout as an example of their ability to reduce costs. Dr. Amin plans to team with a half-dozen of his health system's hospitalists next year to work on a study of the effectiveness of PCT in a community hospital setting.

"If everything else fits, it's another piece of information that's important to the puzzle," Dr. Amin says. "No single test in isolation is going to give you everything you want … but this can help."

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Recession? What Recession?

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The economy might be in the doldrums, but recruiters are looking for candidates to fill HM positions, says Mark Dotson, senior director of recruitment for Cogent Healthcare, a Brentwood, Tenn.-based company that manages HM programs nationwide. He recently spoke with The Hospitalist eWire about how hospitalists can take advantage of the bullish job market.

Question: What do you look for in HM job candidates?

Answer: We obviously look at their credentials, their training, and the focus of their training in inpatient medicine. We strive to look for physicians who are able to and interested in working in a team environment. They should have a good bedside manner and good communication skills. They should be able to show they have a team-based approach to their work.

Q: What alternative jobs are there in HM that hospitalists might not know about?

A: There are sometimes opportunities to chair a committee that hospitalists aren't aware of. There are also ways to get involved with more specialties by working with physicians on the hospital campus and building relationships with them.

Q: Has the current economic climate affected hospitalist recruiting?

A: Not so much. The demand is still there. But I do think more hospitalists aren’t looking to make a change, because they want stability in their workplace right now. Hospital medicine is a specialty that's growing, so there is stability. Hospitalists have to decide what’s best for their clinical skills and personal interests and not let the economy stop them. There are a hundred more opportunities out there waiting for them.

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The economy might be in the doldrums, but recruiters are looking for candidates to fill HM positions, says Mark Dotson, senior director of recruitment for Cogent Healthcare, a Brentwood, Tenn.-based company that manages HM programs nationwide. He recently spoke with The Hospitalist eWire about how hospitalists can take advantage of the bullish job market.

Question: What do you look for in HM job candidates?

Answer: We obviously look at their credentials, their training, and the focus of their training in inpatient medicine. We strive to look for physicians who are able to and interested in working in a team environment. They should have a good bedside manner and good communication skills. They should be able to show they have a team-based approach to their work.

Q: What alternative jobs are there in HM that hospitalists might not know about?

A: There are sometimes opportunities to chair a committee that hospitalists aren't aware of. There are also ways to get involved with more specialties by working with physicians on the hospital campus and building relationships with them.

Q: Has the current economic climate affected hospitalist recruiting?

A: Not so much. The demand is still there. But I do think more hospitalists aren’t looking to make a change, because they want stability in their workplace right now. Hospital medicine is a specialty that's growing, so there is stability. Hospitalists have to decide what’s best for their clinical skills and personal interests and not let the economy stop them. There are a hundred more opportunities out there waiting for them.

The economy might be in the doldrums, but recruiters are looking for candidates to fill HM positions, says Mark Dotson, senior director of recruitment for Cogent Healthcare, a Brentwood, Tenn.-based company that manages HM programs nationwide. He recently spoke with The Hospitalist eWire about how hospitalists can take advantage of the bullish job market.

Question: What do you look for in HM job candidates?

Answer: We obviously look at their credentials, their training, and the focus of their training in inpatient medicine. We strive to look for physicians who are able to and interested in working in a team environment. They should have a good bedside manner and good communication skills. They should be able to show they have a team-based approach to their work.

Q: What alternative jobs are there in HM that hospitalists might not know about?

A: There are sometimes opportunities to chair a committee that hospitalists aren't aware of. There are also ways to get involved with more specialties by working with physicians on the hospital campus and building relationships with them.

Q: Has the current economic climate affected hospitalist recruiting?

A: Not so much. The demand is still there. But I do think more hospitalists aren’t looking to make a change, because they want stability in their workplace right now. Hospital medicine is a specialty that's growing, so there is stability. Hospitalists have to decide what’s best for their clinical skills and personal interests and not let the economy stop them. There are a hundred more opportunities out there waiting for them.

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Budget Checkup

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Editor’s note: Part one of a two-part series.

Why does a particular hospitalist practice require more than the typical amount of financial support from a hospital? This is one of the most common questions I am asked. This month and next, I will provide a thorough list of potential answers.

SHM’s “2007-2008 Bi-annual Survey on the State of the Hospital Medicine Movement” showed that hospitals pay an average of $97,400 per year in support per full-time hospitalist. I suspect that amount is higher now. Nevertheless, hospital executives and hospitalists should understand the reasons why the hospital support that is required for their practice might be more or less.

A comprehensive list of potential reasons would include dozens of factors, and my intent is only to highlight some of the most common and significant ones.

Documentation, Coding, Billing, and Collecting

This is an area in which many, if not most, practices have room for improvement. One very simple way to estimate how your group is doing on these things is to think about how you’re performing on the following tasks:

  • Do the hospitalists really understand the documentation requirements for each CPT code, and is their performance in selecting CPT codes audited regularly (e.g., annually)?1
  • Does the group have a reliable method of charge capture that minimizes problems like lost charges? Is there an established “chain of custody” of this information, from the hospitalist to the biller?
  • Is there a rigorous review or audit of the biller’s performance? Does the group monitor metrics, such as days in accounts receivable, collection rate, etc.? Is there a periodic audit of the biller? An audit could be as simple as tracking down five to 10 billed encounters from six months prior for each doctor in the practice, and reviewing the status of each bill (e.g., paid, written off, or perhaps the bill has vanished or never made it into the billing system).
  • Is revenue appropriately applied to the hospitalist cost center? For many hospital-employed hospitalists, payors might be including their professional fee payments on the same remittance advice as hospital inpatient payments (due to same tax ID number). The hospital’s business office might be unable or unwilling to break these payments into hospital and professional fee portions and apply them correctly. Hospital-employed hospitalists should know whether their collections are being applied to their revenue center accurately.

Payor Mix

The two factors that govern the amount of professional fee revenues a hospitalist practice will collect are the integrity of the billing process (described above) and the payor mix. The payor mix for most hospitalist practices is roughly 55% to 60% Medicare, 5% to 10% self-pay, 5% to 10% Medicaid, and commercial insurance for the rest.

A hospitalist practice that is significantly different from this example should expect professional fee collections to vary accordingly.

Hospitalist Fee Schedule

My experience is that very few hospitalists know their own fee schedule. The term “fee schedule” is generally used to mean the billed charge for each type of service provided. A hospitalist fee schedule usually fits on a single page, with a list of CPT codes (admits, consults, followups, etc.) down one column and the charge for that service in a second column to the right. It would be reasonable to post the fee schedule in hospitalists’ offices.

Groups that use electronic charge capture, in which the doctor enters into a computer the CPT code to bill for each patient daily, can often see the related charge for each code as it is entered.

 

 

Someone connected to the practice, often in the billing office, should review the fee schedule—at least annually—to ensure that services aren’t being billed below the rate allowed by payors.

Negotiated Rates Paid by Commercial Insurance

Some hospitalist groups are able to negotiate higher payments than the typical rates paid by commercial payors. Because commercial insurance is a relatively small portion of most hospitalists’ payor mix, this might not have a large impact on the overall practice finances. So my sense is that most groups don’t pursue this opportunity.

Groups in markets with significant managed care are an exception. They usually are aggressive in negotiations for commercial payor rates.

Some hospital-employed HM groups might end up with lower commercial rates than they could have. Here is how it might happen: A hospital negotiates with Aetna to pay rates for hospital services (the bills submitted by the hospital, not the physician bills) that are attractive to the hospital. To make this proposal more palatable to Aetna, the hospital says it will accept lower rates for its employed physicians, including hospitalists. So the hospitalists’ collections end up lower, and the support paid by the hospital to the hospitalist group is correspondingly higher. The hospital ends up fine in this scenario, because it is being paid an attractive rate by Aetna for hospital services, but the hospitalist practice appears to be underperforming financially.

It is worth knowing if this is an issue at your practice, but in most cases it won’t explain larger problems in the hospitalist budget or amount of support required from the hospital.

Accounting Issues

Budgets and financial statements can be confusing, and revenues and expenses might not be what you expect. For example, in my practice, auditors told our accountants that we needed to accrue an extra month of salary into this year’s budget. So when looking at our fiscal year-end financial statement, the salary expense is for 13 months instead of 12 months. This quirk made it appear that we required more than the budgeted amount of support from our hospital, when in fact we performed better than budget this year.

I certainly can’t explain all the reasons for unusual accounting issues, and I still struggle to understand why accrual accounting is better than cash-basis accounting. My best advice is to have the lead hospitalist in your group get to know the accountant who handles your budget and financial statements. The accountant should explain all of these issues clearly.

In next month’s column, I’ll review how a hospitalist practice’s internal operations, such as staffing and scheduling, can have a major influence on the budget and the amount of support required from the hospital. TH

Dr. Nelson has been a practicing hospitalist since 1988 and is co-founder and past president of SHM. He is a principal in Nelson Flores Hospital Medicine Consultants, a national hospitalist practice management consulting firm (www.nelsonflores.com). He is also course co-director and faculty for SHM’s “Best Practices in Managing a Hospital Medicine Program.” This column represents his views and is not intended to reflect an official position of SHM.

Reference

  1. Centers for Medicare and Medicaid Services. Improper medicare fee-for-service payments report, November 2006:  long report. CMS Web site. Available at: www.cms.hhs.gov/apps/er_report/preview_er_report_print.asp?from=public&which=long&reportID=5. Accessed Sept. 1, 2009.
Issue
The Hospitalist - 2009(10)
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Editor’s note: Part one of a two-part series.

Why does a particular hospitalist practice require more than the typical amount of financial support from a hospital? This is one of the most common questions I am asked. This month and next, I will provide a thorough list of potential answers.

SHM’s “2007-2008 Bi-annual Survey on the State of the Hospital Medicine Movement” showed that hospitals pay an average of $97,400 per year in support per full-time hospitalist. I suspect that amount is higher now. Nevertheless, hospital executives and hospitalists should understand the reasons why the hospital support that is required for their practice might be more or less.

A comprehensive list of potential reasons would include dozens of factors, and my intent is only to highlight some of the most common and significant ones.

Documentation, Coding, Billing, and Collecting

This is an area in which many, if not most, practices have room for improvement. One very simple way to estimate how your group is doing on these things is to think about how you’re performing on the following tasks:

  • Do the hospitalists really understand the documentation requirements for each CPT code, and is their performance in selecting CPT codes audited regularly (e.g., annually)?1
  • Does the group have a reliable method of charge capture that minimizes problems like lost charges? Is there an established “chain of custody” of this information, from the hospitalist to the biller?
  • Is there a rigorous review or audit of the biller’s performance? Does the group monitor metrics, such as days in accounts receivable, collection rate, etc.? Is there a periodic audit of the biller? An audit could be as simple as tracking down five to 10 billed encounters from six months prior for each doctor in the practice, and reviewing the status of each bill (e.g., paid, written off, or perhaps the bill has vanished or never made it into the billing system).
  • Is revenue appropriately applied to the hospitalist cost center? For many hospital-employed hospitalists, payors might be including their professional fee payments on the same remittance advice as hospital inpatient payments (due to same tax ID number). The hospital’s business office might be unable or unwilling to break these payments into hospital and professional fee portions and apply them correctly. Hospital-employed hospitalists should know whether their collections are being applied to their revenue center accurately.

Payor Mix

The two factors that govern the amount of professional fee revenues a hospitalist practice will collect are the integrity of the billing process (described above) and the payor mix. The payor mix for most hospitalist practices is roughly 55% to 60% Medicare, 5% to 10% self-pay, 5% to 10% Medicaid, and commercial insurance for the rest.

A hospitalist practice that is significantly different from this example should expect professional fee collections to vary accordingly.

Hospitalist Fee Schedule

My experience is that very few hospitalists know their own fee schedule. The term “fee schedule” is generally used to mean the billed charge for each type of service provided. A hospitalist fee schedule usually fits on a single page, with a list of CPT codes (admits, consults, followups, etc.) down one column and the charge for that service in a second column to the right. It would be reasonable to post the fee schedule in hospitalists’ offices.

Groups that use electronic charge capture, in which the doctor enters into a computer the CPT code to bill for each patient daily, can often see the related charge for each code as it is entered.

 

 

Someone connected to the practice, often in the billing office, should review the fee schedule—at least annually—to ensure that services aren’t being billed below the rate allowed by payors.

Negotiated Rates Paid by Commercial Insurance

Some hospitalist groups are able to negotiate higher payments than the typical rates paid by commercial payors. Because commercial insurance is a relatively small portion of most hospitalists’ payor mix, this might not have a large impact on the overall practice finances. So my sense is that most groups don’t pursue this opportunity.

Groups in markets with significant managed care are an exception. They usually are aggressive in negotiations for commercial payor rates.

Some hospital-employed HM groups might end up with lower commercial rates than they could have. Here is how it might happen: A hospital negotiates with Aetna to pay rates for hospital services (the bills submitted by the hospital, not the physician bills) that are attractive to the hospital. To make this proposal more palatable to Aetna, the hospital says it will accept lower rates for its employed physicians, including hospitalists. So the hospitalists’ collections end up lower, and the support paid by the hospital to the hospitalist group is correspondingly higher. The hospital ends up fine in this scenario, because it is being paid an attractive rate by Aetna for hospital services, but the hospitalist practice appears to be underperforming financially.

It is worth knowing if this is an issue at your practice, but in most cases it won’t explain larger problems in the hospitalist budget or amount of support required from the hospital.

Accounting Issues

Budgets and financial statements can be confusing, and revenues and expenses might not be what you expect. For example, in my practice, auditors told our accountants that we needed to accrue an extra month of salary into this year’s budget. So when looking at our fiscal year-end financial statement, the salary expense is for 13 months instead of 12 months. This quirk made it appear that we required more than the budgeted amount of support from our hospital, when in fact we performed better than budget this year.

I certainly can’t explain all the reasons for unusual accounting issues, and I still struggle to understand why accrual accounting is better than cash-basis accounting. My best advice is to have the lead hospitalist in your group get to know the accountant who handles your budget and financial statements. The accountant should explain all of these issues clearly.

In next month’s column, I’ll review how a hospitalist practice’s internal operations, such as staffing and scheduling, can have a major influence on the budget and the amount of support required from the hospital. TH

Dr. Nelson has been a practicing hospitalist since 1988 and is co-founder and past president of SHM. He is a principal in Nelson Flores Hospital Medicine Consultants, a national hospitalist practice management consulting firm (www.nelsonflores.com). He is also course co-director and faculty for SHM’s “Best Practices in Managing a Hospital Medicine Program.” This column represents his views and is not intended to reflect an official position of SHM.

Reference

  1. Centers for Medicare and Medicaid Services. Improper medicare fee-for-service payments report, November 2006:  long report. CMS Web site. Available at: www.cms.hhs.gov/apps/er_report/preview_er_report_print.asp?from=public&which=long&reportID=5. Accessed Sept. 1, 2009.

Editor’s note: Part one of a two-part series.

Why does a particular hospitalist practice require more than the typical amount of financial support from a hospital? This is one of the most common questions I am asked. This month and next, I will provide a thorough list of potential answers.

SHM’s “2007-2008 Bi-annual Survey on the State of the Hospital Medicine Movement” showed that hospitals pay an average of $97,400 per year in support per full-time hospitalist. I suspect that amount is higher now. Nevertheless, hospital executives and hospitalists should understand the reasons why the hospital support that is required for their practice might be more or less.

A comprehensive list of potential reasons would include dozens of factors, and my intent is only to highlight some of the most common and significant ones.

Documentation, Coding, Billing, and Collecting

This is an area in which many, if not most, practices have room for improvement. One very simple way to estimate how your group is doing on these things is to think about how you’re performing on the following tasks:

  • Do the hospitalists really understand the documentation requirements for each CPT code, and is their performance in selecting CPT codes audited regularly (e.g., annually)?1
  • Does the group have a reliable method of charge capture that minimizes problems like lost charges? Is there an established “chain of custody” of this information, from the hospitalist to the biller?
  • Is there a rigorous review or audit of the biller’s performance? Does the group monitor metrics, such as days in accounts receivable, collection rate, etc.? Is there a periodic audit of the biller? An audit could be as simple as tracking down five to 10 billed encounters from six months prior for each doctor in the practice, and reviewing the status of each bill (e.g., paid, written off, or perhaps the bill has vanished or never made it into the billing system).
  • Is revenue appropriately applied to the hospitalist cost center? For many hospital-employed hospitalists, payors might be including their professional fee payments on the same remittance advice as hospital inpatient payments (due to same tax ID number). The hospital’s business office might be unable or unwilling to break these payments into hospital and professional fee portions and apply them correctly. Hospital-employed hospitalists should know whether their collections are being applied to their revenue center accurately.

Payor Mix

The two factors that govern the amount of professional fee revenues a hospitalist practice will collect are the integrity of the billing process (described above) and the payor mix. The payor mix for most hospitalist practices is roughly 55% to 60% Medicare, 5% to 10% self-pay, 5% to 10% Medicaid, and commercial insurance for the rest.

A hospitalist practice that is significantly different from this example should expect professional fee collections to vary accordingly.

Hospitalist Fee Schedule

My experience is that very few hospitalists know their own fee schedule. The term “fee schedule” is generally used to mean the billed charge for each type of service provided. A hospitalist fee schedule usually fits on a single page, with a list of CPT codes (admits, consults, followups, etc.) down one column and the charge for that service in a second column to the right. It would be reasonable to post the fee schedule in hospitalists’ offices.

Groups that use electronic charge capture, in which the doctor enters into a computer the CPT code to bill for each patient daily, can often see the related charge for each code as it is entered.

 

 

Someone connected to the practice, often in the billing office, should review the fee schedule—at least annually—to ensure that services aren’t being billed below the rate allowed by payors.

Negotiated Rates Paid by Commercial Insurance

Some hospitalist groups are able to negotiate higher payments than the typical rates paid by commercial payors. Because commercial insurance is a relatively small portion of most hospitalists’ payor mix, this might not have a large impact on the overall practice finances. So my sense is that most groups don’t pursue this opportunity.

Groups in markets with significant managed care are an exception. They usually are aggressive in negotiations for commercial payor rates.

Some hospital-employed HM groups might end up with lower commercial rates than they could have. Here is how it might happen: A hospital negotiates with Aetna to pay rates for hospital services (the bills submitted by the hospital, not the physician bills) that are attractive to the hospital. To make this proposal more palatable to Aetna, the hospital says it will accept lower rates for its employed physicians, including hospitalists. So the hospitalists’ collections end up lower, and the support paid by the hospital to the hospitalist group is correspondingly higher. The hospital ends up fine in this scenario, because it is being paid an attractive rate by Aetna for hospital services, but the hospitalist practice appears to be underperforming financially.

It is worth knowing if this is an issue at your practice, but in most cases it won’t explain larger problems in the hospitalist budget or amount of support required from the hospital.

Accounting Issues

Budgets and financial statements can be confusing, and revenues and expenses might not be what you expect. For example, in my practice, auditors told our accountants that we needed to accrue an extra month of salary into this year’s budget. So when looking at our fiscal year-end financial statement, the salary expense is for 13 months instead of 12 months. This quirk made it appear that we required more than the budgeted amount of support from our hospital, when in fact we performed better than budget this year.

I certainly can’t explain all the reasons for unusual accounting issues, and I still struggle to understand why accrual accounting is better than cash-basis accounting. My best advice is to have the lead hospitalist in your group get to know the accountant who handles your budget and financial statements. The accountant should explain all of these issues clearly.

In next month’s column, I’ll review how a hospitalist practice’s internal operations, such as staffing and scheduling, can have a major influence on the budget and the amount of support required from the hospital. TH

Dr. Nelson has been a practicing hospitalist since 1988 and is co-founder and past president of SHM. He is a principal in Nelson Flores Hospital Medicine Consultants, a national hospitalist practice management consulting firm (www.nelsonflores.com). He is also course co-director and faculty for SHM’s “Best Practices in Managing a Hospital Medicine Program.” This column represents his views and is not intended to reflect an official position of SHM.

Reference

  1. Centers for Medicare and Medicaid Services. Improper medicare fee-for-service payments report, November 2006:  long report. CMS Web site. Available at: www.cms.hhs.gov/apps/er_report/preview_er_report_print.asp?from=public&which=long&reportID=5. Accessed Sept. 1, 2009.
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Spanish Flu Redux?

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Spanish Flu Redux?

Apocalypse, pestilence, death. As I head back to work after a late-summer vacation, those words are on the tip of my tongue. Now before your mind drifts too far afield, this is not a synopsis of the time spent with family, or even my in-laws—although some have used similar words to describe my mother’s cooking. Rather, these are the descriptors of my vacation reading.

Summer Reading

I started the week relaxing contentedly with Cormac McCarthy’s “The Road.” I chose this book in part because I noticed that it soon will be released as a movie, but mostly because it had won the dustiest-book-in-my-office-reading-pile award. This tale of a young boy and his father traversing a post-apocalyptic America was shocking and surreal. I couldn’t help but interchange images of my 2-year-old son, Greyson, and me out on that road fighting for our existence. In my personal fictional account, I continuously, and heroically, MacGyver my way across a burned-out and treacherous landscape with death-defying adeptness—all the while Grey unknowingly totters, drooling and muttering in tow.

HULTON ARCHIVE/GETTYIMAGES
The Spanish flu pandemic of 1918-1920 infected 500 million people and killed as many as 100 million worldwide.

Reality, of course, would paint us in substantially different roles, with mine involving the lion’s share of muttering and drooling, leaving Grey wishing the apocalyptic dealer had dealt him his mother instead.

Next up, “The Last Town on Earth,” by Thomas Mullen. I don’t recall how this book got into my reading pile, but I’m glad it did. The story is set in the fictional city of Commonwealth in 1918. The small, isolated mill town makes the drastic decision to stanch the tide of Spanish flu by cutting itself off from civilization through a self-imposed quarantine.

It is here, on p. 98, that I was sidetracked by a family member’s question—“Do you think this swine flu will be as bad as the Spanish flu?” I was asked shortly after being inquired about my reading choice. “Of course not,” I replied knowingly, moments before realizing I didn’t know. In fact, I didn’t have the faintest idea—not because it’s tough to divine the future, but because I realized I had little more than a passing knowledge of the famous flu that raked the world early last century. And with that, I was off on my final vacation reading session—a quest to slake my thirst for influenza knowledge.

Flu Pandemic

The Spanish flu pandemic of 1918-1920 was the first of three to hit in the 20th century. It took its name not from its site of origin (debated but generally felt to be the U.S., Kansas specifically), but rather from the fact that Spain, a neutral country in World War I, had the most uncensored lines of communication, so the most credible news of the disease came from that country. This provided the false impression that Spain was the only—or at least most dramatically—affected country. Like today’s swine flu, the Spanish flu was an H1N1 influenza. To sate your inner microbiologist, this means the virus exhibits the first of 16 subtypes of hemagglutinin (H) and nine subtypes of neuraminidase (N). Generally, only H1, H2, H3, and N1 and N2 affect humans, and tend to cause mild disease in otherwise healthy populations, killing the immunocompromised, the very young, and the very old. This typically results in a case-fatality rate of about 0.1% and 250,000 to 500,000 deaths worldwide annually.

It is estimated that 500 million people—one-third of the world’s population at the time—were infected. The mortality rate was from 10% to 20%, resulting in 50 million to 100 million deaths. Put another way, the Spanish flu killed 5% of humanity.
 

 

The Spanish flu, however, was different. For reasons that are not entirely clear, the Spanish flu struck in two waves. The first wave, in the spring of 1918, induced typical flu-like illness with generally mild outcomes, except for the immunocompromised. The second wave was unusual for two reasons. First, it began in the late summer of 1918, rather than the typical winter pattern seen in North America. Second, it was much more deadly, inducing what has been termed a cytokine storm. This immunological avalanche produced more severe disease in the immunopotent young, healthy populations—resulting in its unprecedented mortality in this cohort. In fact, upward of 99% of all Spanish flu deaths were in people younger than 65.

In the end, the pandemic left a broad swath of destruction in its wake. It is estimated that 500 million people—one-third of the world’s population at the time—were infected. The mortality rate was 10% to 20%, resulting in 50 million to 100 million deaths. Put another way, the Spanish flu killed 5% of humanity.

It did so rapidly. Nearly 1 million people died per week in the first 25 weeks of the second wave. To put it in perspective, it took HIV 25 years to reach that number. Thus, historians have termed the Spanish flu “the greatest medical holocaust in history.”

And then as quickly as it commenced, it abated. For example, in Philadelphia, there were about 5,000 flu deaths in one week in October 1918, yet a month later, the virus had nearly disappeared from the city. It’s not clear why this happened, but prevailing theories postulate that either the medical community got better at managing its mortal complications (e.g., bacterial pneumonia), or the bug itself mutated to a less virulent strain.

Is the Swine Flu our Spanish Flu?

On June 11, 2009, the World Health Organization (WHO) declared that the current H1N1 flu virus had reached pandemic status. This novel H1N1 serotype appears to be a direct descendent of the Spanish H1N1 subtype, but the new strain also combines genetic material culled from swine and birds reassorted in a manner that results in limited innate human defenses. And like the Spanish variant, it appears this new strain is hitting earlier in the year than usual and disproportionately affecting the young, with about two-thirds of U.S. deaths coming in the 25- to 64-year-old demographic.

So can we expect hundreds of millions of deaths from swine flu? Probably not. The WHO has been cautious to note that the upgrade to pandemic status was based on the rapidity and ease of spread, not the lethality of the virus. Furthermore, the Centers for Disease Control and Prevention (CDC)—which publishes a wonderful weekly update called FluView (www.cdc.gov/flu/weekly/)—notes that while the number of doctor’s visits for influenza-like illnesses through mid-August is unusually high, the rates of hospitalizations and proportion of deaths attributed to pneumonia and influenza are low and within normal limits for this time of year. Further, the virus continues in its original form, meaning it has not mutated, become more resistant to antiviral drugs, or been altered from the viruses selected for the 2009 vaccine.

So while we certainly must brace for the worst, I feel comfortable in the answer I provided my family member. I also am confident that Grey won’t be quarantined or left to roam the barren Earth anytime soon. TH

Dr. Glasheen is associate professor of medicine at the University of Colorado Denver, where he serves as director of the Hospital Medicine Program and the Hospitalist Training Program, and as associate program director of the Internal Medicine Residency Program.

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Apocalypse, pestilence, death. As I head back to work after a late-summer vacation, those words are on the tip of my tongue. Now before your mind drifts too far afield, this is not a synopsis of the time spent with family, or even my in-laws—although some have used similar words to describe my mother’s cooking. Rather, these are the descriptors of my vacation reading.

Summer Reading

I started the week relaxing contentedly with Cormac McCarthy’s “The Road.” I chose this book in part because I noticed that it soon will be released as a movie, but mostly because it had won the dustiest-book-in-my-office-reading-pile award. This tale of a young boy and his father traversing a post-apocalyptic America was shocking and surreal. I couldn’t help but interchange images of my 2-year-old son, Greyson, and me out on that road fighting for our existence. In my personal fictional account, I continuously, and heroically, MacGyver my way across a burned-out and treacherous landscape with death-defying adeptness—all the while Grey unknowingly totters, drooling and muttering in tow.

HULTON ARCHIVE/GETTYIMAGES
The Spanish flu pandemic of 1918-1920 infected 500 million people and killed as many as 100 million worldwide.

Reality, of course, would paint us in substantially different roles, with mine involving the lion’s share of muttering and drooling, leaving Grey wishing the apocalyptic dealer had dealt him his mother instead.

Next up, “The Last Town on Earth,” by Thomas Mullen. I don’t recall how this book got into my reading pile, but I’m glad it did. The story is set in the fictional city of Commonwealth in 1918. The small, isolated mill town makes the drastic decision to stanch the tide of Spanish flu by cutting itself off from civilization through a self-imposed quarantine.

It is here, on p. 98, that I was sidetracked by a family member’s question—“Do you think this swine flu will be as bad as the Spanish flu?” I was asked shortly after being inquired about my reading choice. “Of course not,” I replied knowingly, moments before realizing I didn’t know. In fact, I didn’t have the faintest idea—not because it’s tough to divine the future, but because I realized I had little more than a passing knowledge of the famous flu that raked the world early last century. And with that, I was off on my final vacation reading session—a quest to slake my thirst for influenza knowledge.

Flu Pandemic

The Spanish flu pandemic of 1918-1920 was the first of three to hit in the 20th century. It took its name not from its site of origin (debated but generally felt to be the U.S., Kansas specifically), but rather from the fact that Spain, a neutral country in World War I, had the most uncensored lines of communication, so the most credible news of the disease came from that country. This provided the false impression that Spain was the only—or at least most dramatically—affected country. Like today’s swine flu, the Spanish flu was an H1N1 influenza. To sate your inner microbiologist, this means the virus exhibits the first of 16 subtypes of hemagglutinin (H) and nine subtypes of neuraminidase (N). Generally, only H1, H2, H3, and N1 and N2 affect humans, and tend to cause mild disease in otherwise healthy populations, killing the immunocompromised, the very young, and the very old. This typically results in a case-fatality rate of about 0.1% and 250,000 to 500,000 deaths worldwide annually.

It is estimated that 500 million people—one-third of the world’s population at the time—were infected. The mortality rate was from 10% to 20%, resulting in 50 million to 100 million deaths. Put another way, the Spanish flu killed 5% of humanity.
 

 

The Spanish flu, however, was different. For reasons that are not entirely clear, the Spanish flu struck in two waves. The first wave, in the spring of 1918, induced typical flu-like illness with generally mild outcomes, except for the immunocompromised. The second wave was unusual for two reasons. First, it began in the late summer of 1918, rather than the typical winter pattern seen in North America. Second, it was much more deadly, inducing what has been termed a cytokine storm. This immunological avalanche produced more severe disease in the immunopotent young, healthy populations—resulting in its unprecedented mortality in this cohort. In fact, upward of 99% of all Spanish flu deaths were in people younger than 65.

In the end, the pandemic left a broad swath of destruction in its wake. It is estimated that 500 million people—one-third of the world’s population at the time—were infected. The mortality rate was 10% to 20%, resulting in 50 million to 100 million deaths. Put another way, the Spanish flu killed 5% of humanity.

It did so rapidly. Nearly 1 million people died per week in the first 25 weeks of the second wave. To put it in perspective, it took HIV 25 years to reach that number. Thus, historians have termed the Spanish flu “the greatest medical holocaust in history.”

And then as quickly as it commenced, it abated. For example, in Philadelphia, there were about 5,000 flu deaths in one week in October 1918, yet a month later, the virus had nearly disappeared from the city. It’s not clear why this happened, but prevailing theories postulate that either the medical community got better at managing its mortal complications (e.g., bacterial pneumonia), or the bug itself mutated to a less virulent strain.

Is the Swine Flu our Spanish Flu?

On June 11, 2009, the World Health Organization (WHO) declared that the current H1N1 flu virus had reached pandemic status. This novel H1N1 serotype appears to be a direct descendent of the Spanish H1N1 subtype, but the new strain also combines genetic material culled from swine and birds reassorted in a manner that results in limited innate human defenses. And like the Spanish variant, it appears this new strain is hitting earlier in the year than usual and disproportionately affecting the young, with about two-thirds of U.S. deaths coming in the 25- to 64-year-old demographic.

So can we expect hundreds of millions of deaths from swine flu? Probably not. The WHO has been cautious to note that the upgrade to pandemic status was based on the rapidity and ease of spread, not the lethality of the virus. Furthermore, the Centers for Disease Control and Prevention (CDC)—which publishes a wonderful weekly update called FluView (www.cdc.gov/flu/weekly/)—notes that while the number of doctor’s visits for influenza-like illnesses through mid-August is unusually high, the rates of hospitalizations and proportion of deaths attributed to pneumonia and influenza are low and within normal limits for this time of year. Further, the virus continues in its original form, meaning it has not mutated, become more resistant to antiviral drugs, or been altered from the viruses selected for the 2009 vaccine.

So while we certainly must brace for the worst, I feel comfortable in the answer I provided my family member. I also am confident that Grey won’t be quarantined or left to roam the barren Earth anytime soon. TH

Dr. Glasheen is associate professor of medicine at the University of Colorado Denver, where he serves as director of the Hospital Medicine Program and the Hospitalist Training Program, and as associate program director of the Internal Medicine Residency Program.

Apocalypse, pestilence, death. As I head back to work after a late-summer vacation, those words are on the tip of my tongue. Now before your mind drifts too far afield, this is not a synopsis of the time spent with family, or even my in-laws—although some have used similar words to describe my mother’s cooking. Rather, these are the descriptors of my vacation reading.

Summer Reading

I started the week relaxing contentedly with Cormac McCarthy’s “The Road.” I chose this book in part because I noticed that it soon will be released as a movie, but mostly because it had won the dustiest-book-in-my-office-reading-pile award. This tale of a young boy and his father traversing a post-apocalyptic America was shocking and surreal. I couldn’t help but interchange images of my 2-year-old son, Greyson, and me out on that road fighting for our existence. In my personal fictional account, I continuously, and heroically, MacGyver my way across a burned-out and treacherous landscape with death-defying adeptness—all the while Grey unknowingly totters, drooling and muttering in tow.

HULTON ARCHIVE/GETTYIMAGES
The Spanish flu pandemic of 1918-1920 infected 500 million people and killed as many as 100 million worldwide.

Reality, of course, would paint us in substantially different roles, with mine involving the lion’s share of muttering and drooling, leaving Grey wishing the apocalyptic dealer had dealt him his mother instead.

Next up, “The Last Town on Earth,” by Thomas Mullen. I don’t recall how this book got into my reading pile, but I’m glad it did. The story is set in the fictional city of Commonwealth in 1918. The small, isolated mill town makes the drastic decision to stanch the tide of Spanish flu by cutting itself off from civilization through a self-imposed quarantine.

It is here, on p. 98, that I was sidetracked by a family member’s question—“Do you think this swine flu will be as bad as the Spanish flu?” I was asked shortly after being inquired about my reading choice. “Of course not,” I replied knowingly, moments before realizing I didn’t know. In fact, I didn’t have the faintest idea—not because it’s tough to divine the future, but because I realized I had little more than a passing knowledge of the famous flu that raked the world early last century. And with that, I was off on my final vacation reading session—a quest to slake my thirst for influenza knowledge.

Flu Pandemic

The Spanish flu pandemic of 1918-1920 was the first of three to hit in the 20th century. It took its name not from its site of origin (debated but generally felt to be the U.S., Kansas specifically), but rather from the fact that Spain, a neutral country in World War I, had the most uncensored lines of communication, so the most credible news of the disease came from that country. This provided the false impression that Spain was the only—or at least most dramatically—affected country. Like today’s swine flu, the Spanish flu was an H1N1 influenza. To sate your inner microbiologist, this means the virus exhibits the first of 16 subtypes of hemagglutinin (H) and nine subtypes of neuraminidase (N). Generally, only H1, H2, H3, and N1 and N2 affect humans, and tend to cause mild disease in otherwise healthy populations, killing the immunocompromised, the very young, and the very old. This typically results in a case-fatality rate of about 0.1% and 250,000 to 500,000 deaths worldwide annually.

It is estimated that 500 million people—one-third of the world’s population at the time—were infected. The mortality rate was from 10% to 20%, resulting in 50 million to 100 million deaths. Put another way, the Spanish flu killed 5% of humanity.
 

 

The Spanish flu, however, was different. For reasons that are not entirely clear, the Spanish flu struck in two waves. The first wave, in the spring of 1918, induced typical flu-like illness with generally mild outcomes, except for the immunocompromised. The second wave was unusual for two reasons. First, it began in the late summer of 1918, rather than the typical winter pattern seen in North America. Second, it was much more deadly, inducing what has been termed a cytokine storm. This immunological avalanche produced more severe disease in the immunopotent young, healthy populations—resulting in its unprecedented mortality in this cohort. In fact, upward of 99% of all Spanish flu deaths were in people younger than 65.

In the end, the pandemic left a broad swath of destruction in its wake. It is estimated that 500 million people—one-third of the world’s population at the time—were infected. The mortality rate was 10% to 20%, resulting in 50 million to 100 million deaths. Put another way, the Spanish flu killed 5% of humanity.

It did so rapidly. Nearly 1 million people died per week in the first 25 weeks of the second wave. To put it in perspective, it took HIV 25 years to reach that number. Thus, historians have termed the Spanish flu “the greatest medical holocaust in history.”

And then as quickly as it commenced, it abated. For example, in Philadelphia, there were about 5,000 flu deaths in one week in October 1918, yet a month later, the virus had nearly disappeared from the city. It’s not clear why this happened, but prevailing theories postulate that either the medical community got better at managing its mortal complications (e.g., bacterial pneumonia), or the bug itself mutated to a less virulent strain.

Is the Swine Flu our Spanish Flu?

On June 11, 2009, the World Health Organization (WHO) declared that the current H1N1 flu virus had reached pandemic status. This novel H1N1 serotype appears to be a direct descendent of the Spanish H1N1 subtype, but the new strain also combines genetic material culled from swine and birds reassorted in a manner that results in limited innate human defenses. And like the Spanish variant, it appears this new strain is hitting earlier in the year than usual and disproportionately affecting the young, with about two-thirds of U.S. deaths coming in the 25- to 64-year-old demographic.

So can we expect hundreds of millions of deaths from swine flu? Probably not. The WHO has been cautious to note that the upgrade to pandemic status was based on the rapidity and ease of spread, not the lethality of the virus. Furthermore, the Centers for Disease Control and Prevention (CDC)—which publishes a wonderful weekly update called FluView (www.cdc.gov/flu/weekly/)—notes that while the number of doctor’s visits for influenza-like illnesses through mid-August is unusually high, the rates of hospitalizations and proportion of deaths attributed to pneumonia and influenza are low and within normal limits for this time of year. Further, the virus continues in its original form, meaning it has not mutated, become more resistant to antiviral drugs, or been altered from the viruses selected for the 2009 vaccine.

So while we certainly must brace for the worst, I feel comfortable in the answer I provided my family member. I also am confident that Grey won’t be quarantined or left to roam the barren Earth anytime soon. TH

Dr. Glasheen is associate professor of medicine at the University of Colorado Denver, where he serves as director of the Hospital Medicine Program and the Hospitalist Training Program, and as associate program director of the Internal Medicine Residency Program.

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