The American College of Obstetricians and Gynecologists (ACOG), took a prominent stand in the battle over abortion legislation by filing an amicus brief to the United States Supreme Court in the case of Dobbs v. Jackson Women’s Health Organization, according to a statement from ACOG issued on Sept. 21.

The case, filed by Thomas E. Dobbs, MD, state health officer of the Mississippi Department of Health, and others, appeals the decision by the U.S. Court of Appeals for the Fifth Circuit to throw out Mississippi’s law banning abortion after 15 weeks of pregnancy.*

ACOG’s amicus brief, which was signed by 24 additional medical organizations, including the American Medical Association, “represents an unprecedented level of support from a diverse group of physicians, nurses, and other health care professionals, which demonstrates the concrete medical consensus of opposition to abortion restriction legislation such as the law at the heart of Dobbs v. Jackson,” according to the ACOG statement.

The brief explains how the ban goes against not only the ability of health professionals to provide safe and essential care, but also goes against scientific evidence and medical ethics. “By preventing clinicians from providing patients with necessary medical care, the ban represents gross interference in the patient-clinician relationship,” according to the ACOG brief. 

Potential implications if the ban is upheld include health risks to pregnant women at or near 15 weeks’ gestation, who might be forced to travel out of state, attempt self-induced abortion, or carry a pregnancy to term, according to the brief.

“Each of these outcomes increases the likelihood of negative consequences to a woman’s physical and psychological health that could be avoided if care were available,” according to the brief.

The brief also emphasizes that the ban will have a disproportionate effect on women who are already at risk for being medically underserved and who make up a majority of women seeking abortion: women of color, women in rural areas, and women with limited financial resources.

“This law is an example of harmful legislative interference into the practice of medicine,” said ACOG President J. Martin Tucker, MD, FACOG, on behalf of ACOG, in the statement.

“The outcome of this case could overturn decades of legal precedent that safeguards safe, legal abortion before viability, and the consequences of this case have national implications,” said Maureen G. Phipps, MD, MPH, CEO of ACOG, in an interview, as reported by ACOG press person Kate Connors.

“If the court does not strike down this law, clinicians in states across the country may face similar restrictions in their ability to provide necessary, evidence-based medical care,” Dr. Phipps explained. “If states are allowed to create new laws that further restrict abortion access, patients and families across the country will suffer,” she said.

“We hope that the Supreme Court will respond to the arguments of our brief and to the remarkable medical consensus represented by 25 organization signing the brief,” Dr. Phipps said. “We will continue educating and working through the judicial system in support of our patients’ access to evidence-based care and in opposition to legislative interference in the practice of medicine,” she emphasized.

Other medical organizations that signed the brief in support of the case against the Mississippi abortion ban included the American Academy of Pediatrics, the American Association of Family Physicians, the American College of Nurse Midwives, the American College of Physicians, the American Psychological Association, the American Society for Reproductive Medicine, the Association of Women’s Health, Obstetric and Neonatal Nurses, the American Medical Women’s Association, the Council of University Chairs of Obstetrics and Gynecology, the National Association of Nurse Practitioners in Women’s Health, the North American Society for Pediatric and Adolescent Gynecology, the Society of OB/GYN Hospitalists, and the Society of Family Planning.

*This story was updated on 10/7/2021.

The American College of Obstetricians and Gynecologists (ACOG), took a prominent stand in the battle over abortion legislation by filing an amicus brief to the United States Supreme Court in the case of Dobbs v. Jackson Women’s Health Organization, according to a statement from ACOG issued on Sept. 21.

The case, filed by Thomas E. Dobbs, MD, state health officer of the Mississippi Department of Health, and others, appeals the decision by the U.S. Court of Appeals for the Fifth Circuit to throw out Mississippi’s law banning abortion after 15 weeks of pregnancy.*

ACOG’s amicus brief, which was signed by 24 additional medical organizations, including the American Medical Association, “represents an unprecedented level of support from a diverse group of physicians, nurses, and other health care professionals, which demonstrates the concrete medical consensus of opposition to abortion restriction legislation such as the law at the heart of Dobbs v. Jackson,” according to the ACOG statement.

The brief explains how the ban goes against not only the ability of health professionals to provide safe and essential care, but also goes against scientific evidence and medical ethics. “By preventing clinicians from providing patients with necessary medical care, the ban represents gross interference in the patient-clinician relationship,” according to the ACOG brief. 

Potential implications if the ban is upheld include health risks to pregnant women at or near 15 weeks’ gestation, who might be forced to travel out of state, attempt self-induced abortion, or carry a pregnancy to term, according to the brief.

“Each of these outcomes increases the likelihood of negative consequences to a woman’s physical and psychological health that could be avoided if care were available,” according to the brief.

The brief also emphasizes that the ban will have a disproportionate effect on women who are already at risk for being medically underserved and who make up a majority of women seeking abortion: women of color, women in rural areas, and women with limited financial resources.

“This law is an example of harmful legislative interference into the practice of medicine,” said ACOG President J. Martin Tucker, MD, FACOG, on behalf of ACOG, in the statement.

“The outcome of this case could overturn decades of legal precedent that safeguards safe, legal abortion before viability, and the consequences of this case have national implications,” said Maureen G. Phipps, MD, MPH, CEO of ACOG, in an interview, as reported by ACOG press person Kate Connors.

“If the court does not strike down this law, clinicians in states across the country may face similar restrictions in their ability to provide necessary, evidence-based medical care,” Dr. Phipps explained. “If states are allowed to create new laws that further restrict abortion access, patients and families across the country will suffer,” she said.

“We hope that the Supreme Court will respond to the arguments of our brief and to the remarkable medical consensus represented by 25 organization signing the brief,” Dr. Phipps said. “We will continue educating and working through the judicial system in support of our patients’ access to evidence-based care and in opposition to legislative interference in the practice of medicine,” she emphasized.

Other medical organizations that signed the brief in support of the case against the Mississippi abortion ban included the American Academy of Pediatrics, the American Association of Family Physicians, the American College of Nurse Midwives, the American College of Physicians, the American Psychological Association, the American Society for Reproductive Medicine, the Association of Women’s Health, Obstetric and Neonatal Nurses, the American Medical Women’s Association, the Council of University Chairs of Obstetrics and Gynecology, the National Association of Nurse Practitioners in Women’s Health, the North American Society for Pediatric and Adolescent Gynecology, the Society of OB/GYN Hospitalists, and the Society of Family Planning.

*This story was updated on 10/7/2021.

The American College of Obstetricians and Gynecologists (ACOG), took a prominent stand in the battle over abortion legislation by filing an amicus brief to the United States Supreme Court in the case of Dobbs v. Jackson Women’s Health Organization, according to a statement from ACOG issued on Sept. 21.

The case, filed by Thomas E. Dobbs, MD, state health officer of the Mississippi Department of Health, and others, appeals the decision by the U.S. Court of Appeals for the Fifth Circuit to throw out Mississippi’s law banning abortion after 15 weeks of pregnancy.*

ACOG’s amicus brief, which was signed by 24 additional medical organizations, including the American Medical Association, “represents an unprecedented level of support from a diverse group of physicians, nurses, and other health care professionals, which demonstrates the concrete medical consensus of opposition to abortion restriction legislation such as the law at the heart of Dobbs v. Jackson,” according to the ACOG statement.

The brief explains how the ban goes against not only the ability of health professionals to provide safe and essential care, but also goes against scientific evidence and medical ethics. “By preventing clinicians from providing patients with necessary medical care, the ban represents gross interference in the patient-clinician relationship,” according to the ACOG brief. 

Potential implications if the ban is upheld include health risks to pregnant women at or near 15 weeks’ gestation, who might be forced to travel out of state, attempt self-induced abortion, or carry a pregnancy to term, according to the brief.

“Each of these outcomes increases the likelihood of negative consequences to a woman’s physical and psychological health that could be avoided if care were available,” according to the brief.

The brief also emphasizes that the ban will have a disproportionate effect on women who are already at risk for being medically underserved and who make up a majority of women seeking abortion: women of color, women in rural areas, and women with limited financial resources.

“This law is an example of harmful legislative interference into the practice of medicine,” said ACOG President J. Martin Tucker, MD, FACOG, on behalf of ACOG, in the statement.

“The outcome of this case could overturn decades of legal precedent that safeguards safe, legal abortion before viability, and the consequences of this case have national implications,” said Maureen G. Phipps, MD, MPH, CEO of ACOG, in an interview, as reported by ACOG press person Kate Connors.

“If the court does not strike down this law, clinicians in states across the country may face similar restrictions in their ability to provide necessary, evidence-based medical care,” Dr. Phipps explained. “If states are allowed to create new laws that further restrict abortion access, patients and families across the country will suffer,” she said.

“We hope that the Supreme Court will respond to the arguments of our brief and to the remarkable medical consensus represented by 25 organization signing the brief,” Dr. Phipps said. “We will continue educating and working through the judicial system in support of our patients’ access to evidence-based care and in opposition to legislative interference in the practice of medicine,” she emphasized.

Other medical organizations that signed the brief in support of the case against the Mississippi abortion ban included the American Academy of Pediatrics, the American Association of Family Physicians, the American College of Nurse Midwives, the American College of Physicians, the American Psychological Association, the American Society for Reproductive Medicine, the Association of Women’s Health, Obstetric and Neonatal Nurses, the American Medical Women’s Association, the Council of University Chairs of Obstetrics and Gynecology, the National Association of Nurse Practitioners in Women’s Health, the North American Society for Pediatric and Adolescent Gynecology, the Society of OB/GYN Hospitalists, and the Society of Family Planning.

*This story was updated on 10/7/2021.

Growth mindset is a well-established phenomenon in childhood education that is now starting to appear in health care education literature.¹ This concept emphasizes the capacity of individuals to change and grow through experience and that an individual’s basic qualities can be cultivated through hard work, open-mindedness, and help from others.²

Growth mindset opposes the concept of fixed mindset, which implies intelligence or other personal traits are set in stone, unable to be fundamentally changed.² Individuals with fixed mindsets are less adept at coping with perceived failures and critical feedback because they view these as attacks on their own abilities.² This oftentimes leads these individuals to avoid potential challenges and feedback because of fear of being exposed as incompetent or feeling inadequate. Conversely, individuals with a growth mindset embrace challenges and failures as learning opportunities and identify feedback as a critical element of growth.² These individuals maintain a sense of resilience in the face of adversity and strive to become lifelong learners.

As the field of pediatric hospital medicine (PHM) continues to rapidly evolve, so too does the landscape of PHM fellowships. New programs are opening at a torrid pace to accommodate the increasing demand of residents looking to enter the field with new subspecialty accreditation. Most first-year PHM fellows in established programs enter with a clear precedent to follow, set forth by fellows who have come before them. For PHM fellows in new programs, however, there is often no beaten path to follow.

Entering fellowship as a first-year PHM fellow in a new program and blazing one’s own trail can be intriguing and exhilarating given the unique opportunities available. However, the potential challenges for both fellows and program directors during this transition cannot be understated. The role of new PHM fellows within the institutional framework may initially be unclear to others, which can lead to ambiguous expectations and disruptions to normal workflows. Furthermore, assessing and evaluating new fellows may prove difficult as a result of these unclear expectations and general uncertainties. Using the growth mindset can help both PHM fellows and program directors take a deliberate approach to the challenges and uncertainty that may accompany the creation of a new fellowship program.

One of the challenges new PHM fellows may encounter lies within the structure of the care team. Resident and medical student learners may express consternation that the new fellow role may limit their own autonomy. In addition, finding the right balance of autonomy and supervision between the attending-fellow dyad may prove to be difficult. However, using the growth mindset may allow fellows to see the inherent benefits of this new role.

Fellows should seize the opportunity to discuss the nuances and differing approaches to difficult clinical questions, managing a team and interpersonal dynamics, and balancing clinical and nonclinical responsibilities with an experienced supervising clinician; issues that are often less pressing as a resident. The fellow role also affords the opportunity to more carefully observe different clinical styles of practice to subsequently shape one’s own preferred style.

Finally, fellows should employ a growth mindset to optimize clinical time by discussing expectations with involved stakeholders prior to rotations and explicitly identifying goals for feedback and improvement. Program directors can also help stakeholders including faculty, residency programs, medical schools, and other health care professionals on the clinical teams prepare for this transition by providing expectations for the fellow role and by soliciting questions and feedback before and after fellows begin.

One of the key tenets of the growth mindset is actively seeking out constructive feedback and learning from failures to grow and improve. This can be a particularly useful practice for fellows during the course of their scholarly pursuits in clinical research, quality improvement, and medical education. From initial stages of idea development through the final steps of manuscript submission and peer review, fellows will undoubtedly navigate a plethora of challenges and setbacks along the way. Program directors and other core faculty members can promote a growth mindset culture by honestly discussing their own challenges and failures in career endeavors in addition to giving thoughtful constructive feedback.

Fellows should routinely practice explicitly identifying knowledge and skills gaps that represent areas for potential improvement. But perhaps most importantly, fellows must strive to see all feedback and perceived failures not as personal affronts or as commentaries on personal abilities, but rather as opportunities to strengthen their scholarly products and gain valuable experience for future endeavors.

Not all learners will come equipped with a growth mindset. So, what can fellows and program directors in new programs do to develop this practice and mitigate some of the inevitable uncertainty? To begin, program directors should think about how to create cultures of growth and development as the fixed and growth mindsets are not just limited to individuals.³ Program directors can strive to augment this process by committing to solicit feedback for themselves and acknowledging their own vulnerabilities and perceived weaknesses.

Fellows must have early, honest discussions with program directors and other stakeholders about expectations and goals. Program directors should consider creating lists of “must meet” individuals within the institution that can help fellows begin to carve out their roles in the clinical, educational, and research realms. Deliberately crafting a mentorship team that will encourage a commitment to growth and improvement is critical. Seeking out growth feedback, particularly in areas that prove challenging, should become common practice for fellows from the onset.

Most importantly, fellows should reframe uncertainty as opportunity for growth and progression. Seeing oneself as a work in progress provides a new perspective that prioritizes learning and emphasizes improvement potential.

Embodying this approach requires patience and practice. Being part of a newly created fellowship represents an opportunity to learn from personal challenges rather than leaning on the precedent set by previous fellows. And although fellows will often face uncertainty as a part of the novelty within a new program, they can ultimately succeed by practicing the principles of Dweck’s Growth Mindset: embracing challenges and failure as learning experiences, seeking out feedback, and pursuing the opportunities among ambiguity.
 

Dr. Herchline is a pediatric hospitalist at Cincinnati Children’s Hospital Medical Center and recent fellow graduate of the Children’s Hospital of Philadelphia. During fellowship, he completed a master’s degree in medical education at the University of Pennsylvania. His academic interests include graduate medical education, interprofessional collaboration and teamwork, and quality improvement.

References

1. Klein J et al. A growth mindset approach to preparing trainees for medical error. BMJ Qual Saf. 2017 Sep;26(9):771-4. doi: 10.1136/bmjqs-2016-006416.

2. Dweck C. Mindset: The new psychology of success. New York: Ballantine Books; 2006.

3. Murphy MC, Dweck CS. A culture of genius: How an organization’s lay theory shapes people’s cognition, affect, and behavior. Pers Soc Psychol Bull. 2010 Mar;36(3):283-96. doi: 10.1177/0146167209347380.

Growth mindset is a well-established phenomenon in childhood education that is now starting to appear in health care education literature.¹ This concept emphasizes the capacity of individuals to change and grow through experience and that an individual’s basic qualities can be cultivated through hard work, open-mindedness, and help from others.²

Growth mindset opposes the concept of fixed mindset, which implies intelligence or other personal traits are set in stone, unable to be fundamentally changed.² Individuals with fixed mindsets are less adept at coping with perceived failures and critical feedback because they view these as attacks on their own abilities.² This oftentimes leads these individuals to avoid potential challenges and feedback because of fear of being exposed as incompetent or feeling inadequate. Conversely, individuals with a growth mindset embrace challenges and failures as learning opportunities and identify feedback as a critical element of growth.² These individuals maintain a sense of resilience in the face of adversity and strive to become lifelong learners.

As the field of pediatric hospital medicine (PHM) continues to rapidly evolve, so too does the landscape of PHM fellowships. New programs are opening at a torrid pace to accommodate the increasing demand of residents looking to enter the field with new subspecialty accreditation. Most first-year PHM fellows in established programs enter with a clear precedent to follow, set forth by fellows who have come before them. For PHM fellows in new programs, however, there is often no beaten path to follow.

Entering fellowship as a first-year PHM fellow in a new program and blazing one’s own trail can be intriguing and exhilarating given the unique opportunities available. However, the potential challenges for both fellows and program directors during this transition cannot be understated. The role of new PHM fellows within the institutional framework may initially be unclear to others, which can lead to ambiguous expectations and disruptions to normal workflows. Furthermore, assessing and evaluating new fellows may prove difficult as a result of these unclear expectations and general uncertainties. Using the growth mindset can help both PHM fellows and program directors take a deliberate approach to the challenges and uncertainty that may accompany the creation of a new fellowship program.

One of the challenges new PHM fellows may encounter lies within the structure of the care team. Resident and medical student learners may express consternation that the new fellow role may limit their own autonomy. In addition, finding the right balance of autonomy and supervision between the attending-fellow dyad may prove to be difficult. However, using the growth mindset may allow fellows to see the inherent benefits of this new role.

Fellows should seize the opportunity to discuss the nuances and differing approaches to difficult clinical questions, managing a team and interpersonal dynamics, and balancing clinical and nonclinical responsibilities with an experienced supervising clinician; issues that are often less pressing as a resident. The fellow role also affords the opportunity to more carefully observe different clinical styles of practice to subsequently shape one’s own preferred style.

Finally, fellows should employ a growth mindset to optimize clinical time by discussing expectations with involved stakeholders prior to rotations and explicitly identifying goals for feedback and improvement. Program directors can also help stakeholders including faculty, residency programs, medical schools, and other health care professionals on the clinical teams prepare for this transition by providing expectations for the fellow role and by soliciting questions and feedback before and after fellows begin.

One of the key tenets of the growth mindset is actively seeking out constructive feedback and learning from failures to grow and improve. This can be a particularly useful practice for fellows during the course of their scholarly pursuits in clinical research, quality improvement, and medical education. From initial stages of idea development through the final steps of manuscript submission and peer review, fellows will undoubtedly navigate a plethora of challenges and setbacks along the way. Program directors and other core faculty members can promote a growth mindset culture by honestly discussing their own challenges and failures in career endeavors in addition to giving thoughtful constructive feedback.

Fellows should routinely practice explicitly identifying knowledge and skills gaps that represent areas for potential improvement. But perhaps most importantly, fellows must strive to see all feedback and perceived failures not as personal affronts or as commentaries on personal abilities, but rather as opportunities to strengthen their scholarly products and gain valuable experience for future endeavors.

Not all learners will come equipped with a growth mindset. So, what can fellows and program directors in new programs do to develop this practice and mitigate some of the inevitable uncertainty? To begin, program directors should think about how to create cultures of growth and development as the fixed and growth mindsets are not just limited to individuals.³ Program directors can strive to augment this process by committing to solicit feedback for themselves and acknowledging their own vulnerabilities and perceived weaknesses.

Fellows must have early, honest discussions with program directors and other stakeholders about expectations and goals. Program directors should consider creating lists of “must meet” individuals within the institution that can help fellows begin to carve out their roles in the clinical, educational, and research realms. Deliberately crafting a mentorship team that will encourage a commitment to growth and improvement is critical. Seeking out growth feedback, particularly in areas that prove challenging, should become common practice for fellows from the onset.

Most importantly, fellows should reframe uncertainty as opportunity for growth and progression. Seeing oneself as a work in progress provides a new perspective that prioritizes learning and emphasizes improvement potential.

Embodying this approach requires patience and practice. Being part of a newly created fellowship represents an opportunity to learn from personal challenges rather than leaning on the precedent set by previous fellows. And although fellows will often face uncertainty as a part of the novelty within a new program, they can ultimately succeed by practicing the principles of Dweck’s Growth Mindset: embracing challenges and failure as learning experiences, seeking out feedback, and pursuing the opportunities among ambiguity.
 

Dr. Herchline is a pediatric hospitalist at Cincinnati Children’s Hospital Medical Center and recent fellow graduate of the Children’s Hospital of Philadelphia. During fellowship, he completed a master’s degree in medical education at the University of Pennsylvania. His academic interests include graduate medical education, interprofessional collaboration and teamwork, and quality improvement.

References

1. Klein J et al. A growth mindset approach to preparing trainees for medical error. BMJ Qual Saf. 2017 Sep;26(9):771-4. doi: 10.1136/bmjqs-2016-006416.

2. Dweck C. Mindset: The new psychology of success. New York: Ballantine Books; 2006.

3. Murphy MC, Dweck CS. A culture of genius: How an organization’s lay theory shapes people’s cognition, affect, and behavior. Pers Soc Psychol Bull. 2010 Mar;36(3):283-96. doi: 10.1177/0146167209347380.

Growth mindset is a well-established phenomenon in childhood education that is now starting to appear in health care education literature.¹ This concept emphasizes the capacity of individuals to change and grow through experience and that an individual’s basic qualities can be cultivated through hard work, open-mindedness, and help from others.²

Growth mindset opposes the concept of fixed mindset, which implies intelligence or other personal traits are set in stone, unable to be fundamentally changed.² Individuals with fixed mindsets are less adept at coping with perceived failures and critical feedback because they view these as attacks on their own abilities.² This oftentimes leads these individuals to avoid potential challenges and feedback because of fear of being exposed as incompetent or feeling inadequate. Conversely, individuals with a growth mindset embrace challenges and failures as learning opportunities and identify feedback as a critical element of growth.² These individuals maintain a sense of resilience in the face of adversity and strive to become lifelong learners.

As the field of pediatric hospital medicine (PHM) continues to rapidly evolve, so too does the landscape of PHM fellowships. New programs are opening at a torrid pace to accommodate the increasing demand of residents looking to enter the field with new subspecialty accreditation. Most first-year PHM fellows in established programs enter with a clear precedent to follow, set forth by fellows who have come before them. For PHM fellows in new programs, however, there is often no beaten path to follow.

Entering fellowship as a first-year PHM fellow in a new program and blazing one’s own trail can be intriguing and exhilarating given the unique opportunities available. However, the potential challenges for both fellows and program directors during this transition cannot be understated. The role of new PHM fellows within the institutional framework may initially be unclear to others, which can lead to ambiguous expectations and disruptions to normal workflows. Furthermore, assessing and evaluating new fellows may prove difficult as a result of these unclear expectations and general uncertainties. Using the growth mindset can help both PHM fellows and program directors take a deliberate approach to the challenges and uncertainty that may accompany the creation of a new fellowship program.

One of the challenges new PHM fellows may encounter lies within the structure of the care team. Resident and medical student learners may express consternation that the new fellow role may limit their own autonomy. In addition, finding the right balance of autonomy and supervision between the attending-fellow dyad may prove to be difficult. However, using the growth mindset may allow fellows to see the inherent benefits of this new role.

Fellows should seize the opportunity to discuss the nuances and differing approaches to difficult clinical questions, managing a team and interpersonal dynamics, and balancing clinical and nonclinical responsibilities with an experienced supervising clinician; issues that are often less pressing as a resident. The fellow role also affords the opportunity to more carefully observe different clinical styles of practice to subsequently shape one’s own preferred style.

Finally, fellows should employ a growth mindset to optimize clinical time by discussing expectations with involved stakeholders prior to rotations and explicitly identifying goals for feedback and improvement. Program directors can also help stakeholders including faculty, residency programs, medical schools, and other health care professionals on the clinical teams prepare for this transition by providing expectations for the fellow role and by soliciting questions and feedback before and after fellows begin.

One of the key tenets of the growth mindset is actively seeking out constructive feedback and learning from failures to grow and improve. This can be a particularly useful practice for fellows during the course of their scholarly pursuits in clinical research, quality improvement, and medical education. From initial stages of idea development through the final steps of manuscript submission and peer review, fellows will undoubtedly navigate a plethora of challenges and setbacks along the way. Program directors and other core faculty members can promote a growth mindset culture by honestly discussing their own challenges and failures in career endeavors in addition to giving thoughtful constructive feedback.

Fellows should routinely practice explicitly identifying knowledge and skills gaps that represent areas for potential improvement. But perhaps most importantly, fellows must strive to see all feedback and perceived failures not as personal affronts or as commentaries on personal abilities, but rather as opportunities to strengthen their scholarly products and gain valuable experience for future endeavors.

Not all learners will come equipped with a growth mindset. So, what can fellows and program directors in new programs do to develop this practice and mitigate some of the inevitable uncertainty? To begin, program directors should think about how to create cultures of growth and development as the fixed and growth mindsets are not just limited to individuals.³ Program directors can strive to augment this process by committing to solicit feedback for themselves and acknowledging their own vulnerabilities and perceived weaknesses.

Fellows must have early, honest discussions with program directors and other stakeholders about expectations and goals. Program directors should consider creating lists of “must meet” individuals within the institution that can help fellows begin to carve out their roles in the clinical, educational, and research realms. Deliberately crafting a mentorship team that will encourage a commitment to growth and improvement is critical. Seeking out growth feedback, particularly in areas that prove challenging, should become common practice for fellows from the onset.

Most importantly, fellows should reframe uncertainty as opportunity for growth and progression. Seeing oneself as a work in progress provides a new perspective that prioritizes learning and emphasizes improvement potential.

Embodying this approach requires patience and practice. Being part of a newly created fellowship represents an opportunity to learn from personal challenges rather than leaning on the precedent set by previous fellows. And although fellows will often face uncertainty as a part of the novelty within a new program, they can ultimately succeed by practicing the principles of Dweck’s Growth Mindset: embracing challenges and failure as learning experiences, seeking out feedback, and pursuing the opportunities among ambiguity.
 

Dr. Herchline is a pediatric hospitalist at Cincinnati Children’s Hospital Medical Center and recent fellow graduate of the Children’s Hospital of Philadelphia. During fellowship, he completed a master’s degree in medical education at the University of Pennsylvania. His academic interests include graduate medical education, interprofessional collaboration and teamwork, and quality improvement.

References

1. Klein J et al. A growth mindset approach to preparing trainees for medical error. BMJ Qual Saf. 2017 Sep;26(9):771-4. doi: 10.1136/bmjqs-2016-006416.

2. Dweck C. Mindset: The new psychology of success. New York: Ballantine Books; 2006.

3. Murphy MC, Dweck CS. A culture of genius: How an organization’s lay theory shapes people’s cognition, affect, and behavior. Pers Soc Psychol Bull. 2010 Mar;36(3):283-96. doi: 10.1177/0146167209347380.

From the Mobile Integrated Health and Emergency Medicine Department, South Shore Health, Weymouth, MA.

Objective: To develop a process through which Mobile Integrated Health (MIH) can treat patients with chronic obstructive pulmonary disease (COPD) at high risk for readmission in an outpatient setting. In turn, South Shore Hospital (SSH) looks to leverage MIH to improve hospital flow, decrease costs, and improve patient quality of life.

Methods: With the recent approval of hospital-based MIH programs in Massachusetts, SSH used MIH to target specific patient demographics in an at-home setting. Here, we describe the planning and implementation of this program for patients with COPD. Key components to success include collaboration among providers, early follow-up visits, patient education, and in-depth medical reconciliations. Analysis includes a retrospective examination of a structured COPD outpatient pathway.

Results: A total of 214 patients with COPD were treated with MIH from March 2, 2020, to August 1, 2021. Eighty-seven emergent visits were conducted, and more than 650 total visits were made. A more intensive outpatient pathway was implemented for patients deemed to be at the highest risk for readmission by pulmonary specialists.

Conclusion: This process can serve as a template for future institutions to treat patients with COPD using MIH or similar hospital-at-home services.

Keywords: Mobile Integrated Health; MIH; COPD; population health.

It is estimated that chronic obstructive pulmonary disease (COPD) affects more than 16 million Americans¹ and accounts for more than 700 000 hospitalizations each year in the US.² Thirty-day COPD readmission rates hover around 22.6%,³ and readmission within 90 days of initial discharge can jump to between 31% and 35%.⁴ This is the highest of any patient demographic, and more than half of these readmissions are due to COPD. To counter this, government and state entities have made nationwide efforts to encourage health systems to focus on preventing readmissions. In October 2014, the US added COPD to the active list of diseases in Medicare’s Hospital Readmissions Reduction Program (HRRP), later adding COPD to various risk-based bundle programs that hospitals may choose to opt into. These programs are designed to reduce all-cause readmissions after an acute exacerbation of COPD, as the HRRP penalizes hospitals for all-cause 30-day readmissions.³ However, what is most troubling is that, despite these efforts, readmission rates have not dropped in the past decade.⁵ COPD remains the third leading cause of death in America and still poses a significant burden both clinically and economically to hospitals across the country.³

A solution that is gaining traction is to encourage outpatient care initiatives and discharge pathways. Early follow-up is proven to decrease chances of readmission, and studies have shown that more than half of readmitted patients did not follow up with a primary care physician (PCP) within 30 days of their initial discharge.⁶ Additionally, large meta-analyses show hospital-at-home–type programs can lead to reductions in mortality, decrease costs, decrease readmissions, and increase patient satisfaction.^7-9 Therefore, for more challenging patient populations with regard to readmissions and mortality, Mobile Integrated Health (MIH) may be the solution that we are looking for.

This article presents a viable process to treat patients with COPD in an outpatient setting with MIH Services. It includes an examination of what makes MIH successful as well as a closer look at a structured COPD outpatient pathway.

Methods

South Shore Hospital (SSH) is an independent, not-for-profit hospital located in Weymouth, Massachusetts. It is host to 400 beds, 100 000 annual visits to the emergency department (ED), and its own emergency medical services program. In March 2020, SSH became the first Massachusetts hospital-based program to acquire an MIH license. MIH paramedics receive 300 hours of specialized training, including time in clinical clerkships shadowing pulmonary specialists, cardiology/congestive heart failure (CHF) providers, addiction medicine specialists, home care and care progression colleagues, and wound center providers. Specialist providers become more comfortable with paramedic capabilities as a result of these clerkships, improving interactions and relationships going forward. At the time of writing, SSH MIH is staffed by 12 paramedics, 4 of whom are full time; 2 medical directors; 2 internal coordinators; and 1 registered nurse (RN). A minimum of 2 paramedics are on call each day, each with twice-daily intravenous (IV) capabilities. The first shift slot is 16 hours, from 7:00 AM to 11:00 PM. The second slot is 12 hours, from 8:00 AM to 8:00 PM. Each paramedic cares for 4 to 6 patients per day.

The goal of developing MIH is to improve upon the current standard of care. For hospitals without MIH capabilities, there are limited options to treat acute exacerbations of chronic obstructive pulmonary disease (AECOPD) patients postdischarge. It is common for the only outpatient referral to be a lone PCP visit, and many patients who need more extensive treatment options don’t have access to a timely PCP follow-up or resources for alternative care. This is part of why there has been little improvement in the 21st century with regard to reducing COPD hospitalizations. As it stands, approximately 10% to 55% of all AECOPD readmissions are preventable, and more than one-fifth of patients with COPD are rehospitalized within 30 days of discharge.³ In response, MIH has been designed to provide robust care options postdischarge in the patient home, with the eventual goal of reducing preventable hospitalizations and readmissions for all patients with COPD.

Patient selection

Patients with COPD are admitted to the MIH program in 1 of 3 ways: (1) directly from the ED; (2) at discharge from inpatient care; or (3) from a SSH affiliate referral.

With option 1, the ED physician assesses patient need for MIH services and places a referral to MIH in the electronic medical record (EMR). The ED provider also specifies whether follow-up is “urgent” and sets an alternative level of priority if not. With option 2, the inpatient provider and case manager follow a similar process, first determining whether a patient is stable enough to go home with outpatient services and then if MIH would be beneficial to the patient. If the patient is discharged home, a follow-up visit by an MIH paramedic is scheduled within 48 hours. With option 3, the patient is referred to MIH by an affiliate of SSH. This can be through the patient’s PCP, their visiting nurse association (VNA) service provider, or through any SSH urgent care center. In all 3 referral processes, the patient has the option to consent into the program or refuse services. Once referred, MIH coordinators review patients on a case-by-case basis. Patients with a history of prior admissions are given preference, with the goal being to keep the frailer, older, and comorbid patients at home. Other considerations include recent admission(s), length of stay, and overall stability. Social factors considered by the team include whether the patient lives alone and has alternative home services and the patient’s total distance from the hospital. Patients with a history of violence, mental health concerns, or substance abuse go through a more extensive screening process to ensure paramedic safety.

Given their patient profile and high hospital usage rates, MIH is sometimes requested for patients with end-stage COPD. Many of these patients benefit from MIH goals-of-care conversations to ensure they understand all their options and choose an approach that fits their preferences. In these cases, MIH has been instrumental in assisting patients and families with completing Medical Orders for Life-Sustaining Treatment and health care proxy forms and transitioning patients to palliative care, hospice, advanced-illness care management programs, or other long-term care options to prevent the need for rehospitalization. The MIH team focuses heavily on providing quality end-of-life care for patients and aligning care models with patient and family goals, often finding that having these sensitive conversations in the comfort of home enables transparency and comfort not otherwise experienced by hospitalized patients.

Initial patient follow-up

For patients with COPD enrolled in the MIH program, their first patient visit is scheduled within 48 hours of discharge from the ED or inpatient hospital. In many cases, this visit can be conducted within 24 hours of returning home. Once at the patient’s home, the paramedic begins with general introductions, vital signs, and a basic physical examination. The remainder of the visit focuses on patient education and symptom recognition. The paramedic reviews the COPD action plan (Figure 1), including how to recognize the onset of a “COPD flare-up” and the appropriate response. Patients are provided with a paper copy of the action plan for future reference.

The next point of educational emphasis is the patient’s individual medication regimen. This involves differentiating between control (daily) and rescue medications, how to use oxygen tanks, and how to safely wean off of oxygen. Specific attention is given to how to use a metered-dose inhaler, as studies have found that more than half of all patients use their inhaler devices incorrectly.¹⁰

Paramedics also complete a home safety evaluation of the patient’s residence, which involves checking for tripping hazards, lighting, handrails, slippery surfaces, and general access to patient medication. If an issue cannot be resolved by the paramedic on site and is considered a safety hazard, it is reported back to the hospital team for assistance.

Finally, patients are educated on the capabilities of MIH as a program and what to expect when they reach out over the phone. Patients are given a phone number to call for both “urgent” and “nonemergent” situations. In both cases, they will be greeted by one of the MIH coordinators or nurses who assist with triaging patient symptoms, scheduling a visit, or providing other guidance. It is a point of emphasis that the patient can use MIH for more than just COPD and should call in the event of any illness or discomfort (eg, dehydration, fever) in an effort to prevent unnecessary ED visits.

Medication reconciliation

Patients with COPD often have complex medication regimens. To help alleviate any confusion, medication reconciliations are done in conjunction with every COPD patient’s initial visit. During this process, the paramedic first takes an inventory of all medications in the patient home. Common reasons for nonadherence include confusing packaging, inability to reach the pharmacy, or medication not being covered by insurance. The paramedic reconciles the updated medication regimen against the medications that are physically in the home. Once the initial review is complete, the paramedic teleconferences with a registered hospitalist pharmacist (RHP) for a more in-depth review. Over video chat, the RHP reviews each medication individually to make sure the patient understands how many times per day they take each medication, whether it is a control or rescue medication, and what times of the day to take them. The RHP will then clarify any other medication questions the patient has, assure all recent medications have been picked up from the pharmacy, and determine any barriers, such as cost or transportation.

Follow-ups and PCP involvement

At each in-person visit, paramedics coordinate with an advanced practice clinician (APC) through telehealth communication. On these video calls with a provider, the paramedic relays relevant information pertaining to patient history, vital signs, and current status. Any concerning findings, symptoms of COPD flare-ups, or recent changes in status will be discussed. The APC then speaks directly to the patient to gather additional details about their condition and any recent hospitalizations, with their primary role being to make clinical decisions on further treatment. For the COPD population, this often includes orders for the MIH paramedic to administer IV medication (ie, IV methylprednisolone or other corticosteroids), antibiotics, home nebulizers, and at-home oxygen.

Second and third follow-up paramedic visits are often less intensive. Although these visits often still involve telehealth calls to the APC, the overall focus shifts toward medication adherence, ED avoidance, and readmission avoidance. On these visits, the paramedic also checks vitals, conducts a physical examination, and completes follow-up testing or orders per the APC.

PCP involvement is critical to streamlining and transitioning patient care. Patients who are admitted to MIH without insurance or a PCP are assisted in the process of finding one. PCPs automatically receive a patient enrollment letter when their patient is seen by an MIH paramedic. Following each individual visit, paramedic and APC notes are sent to the PCP through the EMR or via fax, at which time the PCP may be consulted on patient history and/or future care decisions. After the transition back to care by their PCP, patients are still encouraged to utilize MIH if acute changes arise. If a patient is readmitted back to the hospital, MIH is automatically notified, and coordinators will assess whether there is continued need for outpatient services or areas for potential improvement.

While MIH visits with patients with COPD are often scheduled, MIH can also be leveraged in urgent situations to prevent the need for a patient to come to the ED or hospital. Patients with COPD are told to call MIH if they have worsening symptoms or have exhausted all methods of self-treatment without an improvement in status. In this case, a paramedic is notified and sent to the patient’s home at the earliest time possible. The paramedic then completes an assessment of the patient’s status and relays information to the MIH APC or medical director. From there, treatment decisions, such as starting the patient on an IV, using nebulizers, or doing an electrocardiogram for diagnostic purposes, are guided by the provider team with the ultimate goal of caring for the patient in the home. For our population, providing urgent care in the home has proven to be an effective way to avoid unnecessary readmissions while still ensuring high-quality patient care.

Outpatient pathway

In May 2021, select patients with COPD were given the option to participate in a more intensive MIH outpatient pathway. Pilot patients were chosen by 2 pulmonary specialists, with a focus on enrolling patients with COPD at the highest risk for readmission. Patients who opted in were followed by MIH for a total of 30 days.

The first visit was made as usual within 48 hours of discharge. Patients received education, medication reconciliation, vitals examination, home safety evaluation, and a facilitated telehealth evaluation with the APC. What differentiates the pathway from standard MIH services is that after the first visit, the follow-ups are prescheduled and more numerous. This is outlined best in Figure 2, which serves as a guideline for coordinators and paramedics in the cadence and focus of visits for each patient on the pathway. The initial 2 weeks are designed to check in on the patient in person and ensure active recovery. The latter 2 weeks are designed to ensure that the patient follows up with their care team and understands their medications and action plan going forward. Pathway patients were also monitored using a remote patient monitoring (RPM) kit. On the initial visit, paramedics set up the RPM equipment and provided a demonstration on how to use each device. Patients were issued a Bluetooth-enabled scale, blood pressure cuff, video-enabled tablet, and wearable device. The wearable device continuously recorded respiration rate, heart rate, and oxygen saturation and had fall-detection enabled. Over the course of a month, an experienced MIH nurse monitored the vitals transmitted by the wearable device and checked patient weight and blood pressure 1 to 2 times per day, utilizing these data to proactively outreach to patients if abnormalities occurred. Prior to the start of the program, the MIH nurse contacted each patient to introduce herself and notify them that they would receive a call if any vitals were unusual.

Results

MIH treated 214 patients with COPD from March 2, 2020, to August 2, 2021. In total, paramedics made more than 650 visits. Eighty-seven of these were documented as urgent visits with AECOPD, shortness of breath, cough, or wheezing as the primary concern.

In the calendar year of 2019, our institution admitted 804 patients with a primary diagnosis of COPD. In 2020, the first year with MIH, total COPD admissions decreased to 473; however, the effect of the COVID-19 pandemic cannot be discounted. At of the time of writing—219 days into 2021—253 patients with COPD have been admitted thus far (Table 1).

Sixteen patients were referred to the MIH COPD Discharge Pathway Pilot during May 2021. Ten patients went on to complete the entire 30-day pathway. Six did not finish the program. Three of these 6 patients were referred by a pulmonary specialist for enrollment but not ultimately referred to the pilot program by case management and therefore not enrolled. The other 3 of the 6 patients who did not complete the pilot program were enrolled but discontinued owing to noncompliance.

Of the 10 patients who completed the pathway, 3 patients were male, and 7 were female. Ages ranged from 55 to 84 years. On average, the RHP found 3.6 medication reconciliation errors per patient. One patient was readmitted within 30 days (only 3 days after the initial discharge), and 5 were readmitted within 90 days.

A retrospective analysis was conducted on patients with COPD who were not provided with MIH services and were admitted to our hospital between September 1, 2020, and March 1, 2021, for comparison. Age, sex, and other related conditions are shown in Table 2. Medication reconciliation error data were not tracked for this demographic, as they did not have an in-home medication reconciliation completed.

Discussion

MIH has treated 214 patients with COPD from March 2, 2020, to August 2, 2021, a 17-month period. In that same timeframe, the hospital experienced a 42% decrease in COPD admissions. Although this effect is not the sole product of MIH (specifically, COVID-19 caused a drop in all-cause hospital admissions), we believe MIH did play a small role in this reduction. Eighty-seven emergent visits were conducted for patients with a primary complaint of AECOPD, shortness of breath, cough, or wheezing. On these visits, MIH provided urgent treatment to prevent the patient returning to the ED and potentially leading to readmission.

The program’s impact extends beyond the numbers. With more than 200 patients with COPD treated at home, we improved hospital flow, shortened patients’ overall length of stay, and increased capacity in the ED and inpatient units. In addition, MIH has been able to fill in care gaps present in the current health care system by providing acute care in the home to patients who otherwise have access-to-care and transportation issues.

With the COPD population prone to having complex medication regimens, medication reconciliations were critical to improving patient outcomes. During the documented medication reconciliations for pathway patients, 8 of 10 patients had medication errors identified. Some of the more common errors included incorrect inhaler usage, patient medication not arriving to the pharmacy for a week or more after discharge, prescribed medication dosages that were too high or too low, and a lack of transportation to pick up the patient’s prescription. Even more problematic is that 7 of these 8 patients required multiple interventions to correct their regimen. What was cited as most beneficial by both the paramedic and the RHP was taking time to walk through each medication individually and ensuring that the patient could recite back how often and when they should be using it. What also proved to be helpful was spending extra time on the inhalers and nebulizers. Multiple patients did not know how to use them properly and/or cited a history of struggling with them.

The MIH COPD pathway patients showed encouraging preliminary results. In the initial 30-day window, only 1 of 10 (10%) patients was readmitted, which is lower than the 37.7% rate for comparable patients who did not have MIH services. This could imply that patients with COPD respond positively to active and consistent management with predetermined points of contact. Ninety-day readmission rates jumped to 5 of 10, with 4 of these patients being readmitted multiple times. Approximately half of these readmissions were COPD related. It is important to remember that the patients being targeted by the pathway are deemed to be at very high risk of readmission. As such, one could expect that even with a successful reduction in rates, pathway patient readmission rates may be slightly elevated compared with national COPD averages.

Given the more personalized and at-home care, patients also expressed higher levels of care satisfaction. Most patients want to avoid the hospital at all costs, and MIH provides a safe and effective alternative. Patients with COPD have also relayed that the education they receive on their medication, disease, and how to use MIH has been useful. This is reflected in the volume of urgent calls that MIH receives. A patient calling MIH in place of 911 shows not only that the patient has a level of trust in the MIH team, but also that they have learned how to recognize symptoms earlier to prevent major flare-ups.

This study had several limitations. On the pilot pathway, 3 patients were removed from MIH services because of repeated noncompliance. These instances primarily involved aggression toward the paramedics, both verbal and physical, as well as refusal to allow the MIH paramedics into the home. Going forward, it will be valuable to have a screening process for pathway patients to determine likelihood of compliance. This could include speaking to the patient’s PCP or other in-hospital providers before accepting them into the program.

Remote patient monitoring also presented its challenges. Despite extensive equipment demonstrations, some patients struggled to grasp the technology. Some of the biggest problems cited were confusion operating the tablet, inability to charge the devices, and issues with connectivity. In the future, it may be useful to simplify the devices even more. Further work should also be done to evaluate the efficacy of remote patient technology in this specific setting, as studies have shown varied results with regard to RPM success. In 1 meta-analysis of 91 different published studies that took place between 2015 and 2020, approximately half of the RPM studies resulted in no change in hospital readmissions, length of stay, or ED presentations, while the other half saw improvement in these categories.¹¹ We suspect that the greatest benefits of our work came from the patient education, trust built over time, in-home urgent evaluations, and 1-on-1 time with the paramedic.

With many people forgoing care during the pandemic, COVID-19 has also caused a downward trend in overall and non-COVID-19 admissions. In a review of more than 500 000 ED visits in Massachusetts between March 11, 2020, and September 8, 2021, there was a 32% decrease in admissions when compared with those same weeks in 2019.¹⁰ There was an even greater drop-off when it came to COPD and other respiratory-related admissions. In evaluating the impact SSH MIH has made, it is important to recognize that the pandemic contributed to reducing total COPD admissions. Adding merit to the success of MIH in contributing to the reduction in admissions is the continued downward trend in total COPD admissions year-to-date in 2021. Despite total hospital usage rates increasing at our institution over the course of this year, the overall COPD usage rates have remained lower than before.

Another limitation is that in the selection of patients, both for general MIH care and for the COPD pathway, there was room for bias. The pilot pathway was offered specifically to patients at the highest risk for readmission; however, patients were referred at the discretion of our pulmonologist care team and not selected by any standardized rubric. Additionally, MIH only operates on a 16-hour schedule. This means that patients admitted to the ED or inpatient at night may sometimes be missed and not referred to MIH for care.

The biggest caveat to the pathway results is, of course, the small sample size. With only 10 patients completing the pilot, it is impossible to come to any concrete conclusions. Such an intensive pathway requires dedicating large amounts of time and resources, which is why the pilot was small. However, considering the preliminary results, the outline given could provide a starting point for future work to evaluate a similar COPD pathway on a larger scale.

Future considerations

Risk stratification of patients is critical to achieving even further reductions in readmissions and mortality. Hospitals can get the most value from MIH by focusing on patients with COPD at the highest risk for return, and it would be valuable to explicitly define who fits into this criterion. Utilizing a tool similar to the LACE index for readmission but tailoring it to patients with COPD when admitting patients into the program would be a logical next step.

Reducing the points of patient contact could also prove valuable. Over the course of a patient’s time with MIH, they interact with an RHP, APC, paramedic, RN, and discharging hospitalist. Additionally, we found many patients had VNA services, home health aides, care managers, and/or social workers involved in their care. Some patients found this to be stressful and overwhelming, especially regarding the number of outreach calls soon after discharge.

It would also be useful to look at the impact of MIH on total COPD admissions independent of the artificial variation created by COVID-19. This may require waiting until there are higher levels of vaccination and/or finding ways to control for the potential variation. In doing so, one could look at the direct effect MIH has on COPD readmissions when compared with a control group without MIH services, which could then serve as a comparison point to the results of this study. As it stands, given the relative novelty of MIH, there are primarily only broad reviews of MIH’s effectiveness and/or impact on patient populations that have been published. Of these, only a few directly mentioned MIH in relation to COPD, and none have comparable designs that look at overall COPD hospitalization reductions post-MIH implementation. There is also little to no literature looking at the utilization of MIH in a more intensive COPD outpatient pathway.

Finally, MIH has proven to be a useful tool for our institution in many areas outside of COPD management. Specifically, MIH has been utilized as a mobile influenza and COVID-19 vaccination unit and in-home testing service and now operates both a hospital-at-home and skilled nursing facility-at-home program. Analysis of the overall needs of the system and where this valuable MIH resource would have the biggest impact will be key in future growth opportunities.

Conclusion

MIH has been an invaluable tool for our hospital, especially in light of the recent shift toward more in-home and virtual care. MIH cared for 214 patients with COPD with more than 650 visits between March 2020 and August 2021. Eighty-seven emergent COPD visits were conducted, and COPD admissions were reduced dramatically from 2019 to 2020. MIH services have improved hospital flow, allowed for earlier discharge from the ED and inpatient care, and helped improve all-cause COPD readmission rates. The importance of postdischarge care and follow-up visits for patients with COPD, especially those at higher risk for readmission, cannot be understated. We hope our experience working to improve COPD patient outcomes serves as valuable a reference point for future MIH programs.

Corresponding author: Kelly Lannutti, DO, Mobile Integrated Health and Emergency Medicine Department, South Shore Health, 55 Fogg Rd, South Weymouth, MA 02190; [email protected].

Financial disclosures: None.

From the Mobile Integrated Health and Emergency Medicine Department, South Shore Health, Weymouth, MA.

Objective: To develop a process through which Mobile Integrated Health (MIH) can treat patients with chronic obstructive pulmonary disease (COPD) at high risk for readmission in an outpatient setting. In turn, South Shore Hospital (SSH) looks to leverage MIH to improve hospital flow, decrease costs, and improve patient quality of life.

Methods: With the recent approval of hospital-based MIH programs in Massachusetts, SSH used MIH to target specific patient demographics in an at-home setting. Here, we describe the planning and implementation of this program for patients with COPD. Key components to success include collaboration among providers, early follow-up visits, patient education, and in-depth medical reconciliations. Analysis includes a retrospective examination of a structured COPD outpatient pathway.

Results: A total of 214 patients with COPD were treated with MIH from March 2, 2020, to August 1, 2021. Eighty-seven emergent visits were conducted, and more than 650 total visits were made. A more intensive outpatient pathway was implemented for patients deemed to be at the highest risk for readmission by pulmonary specialists.

Conclusion: This process can serve as a template for future institutions to treat patients with COPD using MIH or similar hospital-at-home services.

Keywords: Mobile Integrated Health; MIH; COPD; population health.

It is estimated that chronic obstructive pulmonary disease (COPD) affects more than 16 million Americans¹ and accounts for more than 700 000 hospitalizations each year in the US.² Thirty-day COPD readmission rates hover around 22.6%,³ and readmission within 90 days of initial discharge can jump to between 31% and 35%.⁴ This is the highest of any patient demographic, and more than half of these readmissions are due to COPD. To counter this, government and state entities have made nationwide efforts to encourage health systems to focus on preventing readmissions. In October 2014, the US added COPD to the active list of diseases in Medicare’s Hospital Readmissions Reduction Program (HRRP), later adding COPD to various risk-based bundle programs that hospitals may choose to opt into. These programs are designed to reduce all-cause readmissions after an acute exacerbation of COPD, as the HRRP penalizes hospitals for all-cause 30-day readmissions.³ However, what is most troubling is that, despite these efforts, readmission rates have not dropped in the past decade.⁵ COPD remains the third leading cause of death in America and still poses a significant burden both clinically and economically to hospitals across the country.³

A solution that is gaining traction is to encourage outpatient care initiatives and discharge pathways. Early follow-up is proven to decrease chances of readmission, and studies have shown that more than half of readmitted patients did not follow up with a primary care physician (PCP) within 30 days of their initial discharge.⁶ Additionally, large meta-analyses show hospital-at-home–type programs can lead to reductions in mortality, decrease costs, decrease readmissions, and increase patient satisfaction.^7-9 Therefore, for more challenging patient populations with regard to readmissions and mortality, Mobile Integrated Health (MIH) may be the solution that we are looking for.

This article presents a viable process to treat patients with COPD in an outpatient setting with MIH Services. It includes an examination of what makes MIH successful as well as a closer look at a structured COPD outpatient pathway.

Methods

South Shore Hospital (SSH) is an independent, not-for-profit hospital located in Weymouth, Massachusetts. It is host to 400 beds, 100 000 annual visits to the emergency department (ED), and its own emergency medical services program. In March 2020, SSH became the first Massachusetts hospital-based program to acquire an MIH license. MIH paramedics receive 300 hours of specialized training, including time in clinical clerkships shadowing pulmonary specialists, cardiology/congestive heart failure (CHF) providers, addiction medicine specialists, home care and care progression colleagues, and wound center providers. Specialist providers become more comfortable with paramedic capabilities as a result of these clerkships, improving interactions and relationships going forward. At the time of writing, SSH MIH is staffed by 12 paramedics, 4 of whom are full time; 2 medical directors; 2 internal coordinators; and 1 registered nurse (RN). A minimum of 2 paramedics are on call each day, each with twice-daily intravenous (IV) capabilities. The first shift slot is 16 hours, from 7:00 AM to 11:00 PM. The second slot is 12 hours, from 8:00 AM to 8:00 PM. Each paramedic cares for 4 to 6 patients per day.

The goal of developing MIH is to improve upon the current standard of care. For hospitals without MIH capabilities, there are limited options to treat acute exacerbations of chronic obstructive pulmonary disease (AECOPD) patients postdischarge. It is common for the only outpatient referral to be a lone PCP visit, and many patients who need more extensive treatment options don’t have access to a timely PCP follow-up or resources for alternative care. This is part of why there has been little improvement in the 21st century with regard to reducing COPD hospitalizations. As it stands, approximately 10% to 55% of all AECOPD readmissions are preventable, and more than one-fifth of patients with COPD are rehospitalized within 30 days of discharge.³ In response, MIH has been designed to provide robust care options postdischarge in the patient home, with the eventual goal of reducing preventable hospitalizations and readmissions for all patients with COPD.

Patient selection

Patients with COPD are admitted to the MIH program in 1 of 3 ways: (1) directly from the ED; (2) at discharge from inpatient care; or (3) from a SSH affiliate referral.

With option 1, the ED physician assesses patient need for MIH services and places a referral to MIH in the electronic medical record (EMR). The ED provider also specifies whether follow-up is “urgent” and sets an alternative level of priority if not. With option 2, the inpatient provider and case manager follow a similar process, first determining whether a patient is stable enough to go home with outpatient services and then if MIH would be beneficial to the patient. If the patient is discharged home, a follow-up visit by an MIH paramedic is scheduled within 48 hours. With option 3, the patient is referred to MIH by an affiliate of SSH. This can be through the patient’s PCP, their visiting nurse association (VNA) service provider, or through any SSH urgent care center. In all 3 referral processes, the patient has the option to consent into the program or refuse services. Once referred, MIH coordinators review patients on a case-by-case basis. Patients with a history of prior admissions are given preference, with the goal being to keep the frailer, older, and comorbid patients at home. Other considerations include recent admission(s), length of stay, and overall stability. Social factors considered by the team include whether the patient lives alone and has alternative home services and the patient’s total distance from the hospital. Patients with a history of violence, mental health concerns, or substance abuse go through a more extensive screening process to ensure paramedic safety.

Given their patient profile and high hospital usage rates, MIH is sometimes requested for patients with end-stage COPD. Many of these patients benefit from MIH goals-of-care conversations to ensure they understand all their options and choose an approach that fits their preferences. In these cases, MIH has been instrumental in assisting patients and families with completing Medical Orders for Life-Sustaining Treatment and health care proxy forms and transitioning patients to palliative care, hospice, advanced-illness care management programs, or other long-term care options to prevent the need for rehospitalization. The MIH team focuses heavily on providing quality end-of-life care for patients and aligning care models with patient and family goals, often finding that having these sensitive conversations in the comfort of home enables transparency and comfort not otherwise experienced by hospitalized patients.

Initial patient follow-up

For patients with COPD enrolled in the MIH program, their first patient visit is scheduled within 48 hours of discharge from the ED or inpatient hospital. In many cases, this visit can be conducted within 24 hours of returning home. Once at the patient’s home, the paramedic begins with general introductions, vital signs, and a basic physical examination. The remainder of the visit focuses on patient education and symptom recognition. The paramedic reviews the COPD action plan (Figure 1), including how to recognize the onset of a “COPD flare-up” and the appropriate response. Patients are provided with a paper copy of the action plan for future reference.

The next point of educational emphasis is the patient’s individual medication regimen. This involves differentiating between control (daily) and rescue medications, how to use oxygen tanks, and how to safely wean off of oxygen. Specific attention is given to how to use a metered-dose inhaler, as studies have found that more than half of all patients use their inhaler devices incorrectly.¹⁰

Paramedics also complete a home safety evaluation of the patient’s residence, which involves checking for tripping hazards, lighting, handrails, slippery surfaces, and general access to patient medication. If an issue cannot be resolved by the paramedic on site and is considered a safety hazard, it is reported back to the hospital team for assistance.

Finally, patients are educated on the capabilities of MIH as a program and what to expect when they reach out over the phone. Patients are given a phone number to call for both “urgent” and “nonemergent” situations. In both cases, they will be greeted by one of the MIH coordinators or nurses who assist with triaging patient symptoms, scheduling a visit, or providing other guidance. It is a point of emphasis that the patient can use MIH for more than just COPD and should call in the event of any illness or discomfort (eg, dehydration, fever) in an effort to prevent unnecessary ED visits.

Medication reconciliation

Patients with COPD often have complex medication regimens. To help alleviate any confusion, medication reconciliations are done in conjunction with every COPD patient’s initial visit. During this process, the paramedic first takes an inventory of all medications in the patient home. Common reasons for nonadherence include confusing packaging, inability to reach the pharmacy, or medication not being covered by insurance. The paramedic reconciles the updated medication regimen against the medications that are physically in the home. Once the initial review is complete, the paramedic teleconferences with a registered hospitalist pharmacist (RHP) for a more in-depth review. Over video chat, the RHP reviews each medication individually to make sure the patient understands how many times per day they take each medication, whether it is a control or rescue medication, and what times of the day to take them. The RHP will then clarify any other medication questions the patient has, assure all recent medications have been picked up from the pharmacy, and determine any barriers, such as cost or transportation.

Follow-ups and PCP involvement

At each in-person visit, paramedics coordinate with an advanced practice clinician (APC) through telehealth communication. On these video calls with a provider, the paramedic relays relevant information pertaining to patient history, vital signs, and current status. Any concerning findings, symptoms of COPD flare-ups, or recent changes in status will be discussed. The APC then speaks directly to the patient to gather additional details about their condition and any recent hospitalizations, with their primary role being to make clinical decisions on further treatment. For the COPD population, this often includes orders for the MIH paramedic to administer IV medication (ie, IV methylprednisolone or other corticosteroids), antibiotics, home nebulizers, and at-home oxygen.

Second and third follow-up paramedic visits are often less intensive. Although these visits often still involve telehealth calls to the APC, the overall focus shifts toward medication adherence, ED avoidance, and readmission avoidance. On these visits, the paramedic also checks vitals, conducts a physical examination, and completes follow-up testing or orders per the APC.

PCP involvement is critical to streamlining and transitioning patient care. Patients who are admitted to MIH without insurance or a PCP are assisted in the process of finding one. PCPs automatically receive a patient enrollment letter when their patient is seen by an MIH paramedic. Following each individual visit, paramedic and APC notes are sent to the PCP through the EMR or via fax, at which time the PCP may be consulted on patient history and/or future care decisions. After the transition back to care by their PCP, patients are still encouraged to utilize MIH if acute changes arise. If a patient is readmitted back to the hospital, MIH is automatically notified, and coordinators will assess whether there is continued need for outpatient services or areas for potential improvement.

While MIH visits with patients with COPD are often scheduled, MIH can also be leveraged in urgent situations to prevent the need for a patient to come to the ED or hospital. Patients with COPD are told to call MIH if they have worsening symptoms or have exhausted all methods of self-treatment without an improvement in status. In this case, a paramedic is notified and sent to the patient’s home at the earliest time possible. The paramedic then completes an assessment of the patient’s status and relays information to the MIH APC or medical director. From there, treatment decisions, such as starting the patient on an IV, using nebulizers, or doing an electrocardiogram for diagnostic purposes, are guided by the provider team with the ultimate goal of caring for the patient in the home. For our population, providing urgent care in the home has proven to be an effective way to avoid unnecessary readmissions while still ensuring high-quality patient care.

Outpatient pathway

In May 2021, select patients with COPD were given the option to participate in a more intensive MIH outpatient pathway. Pilot patients were chosen by 2 pulmonary specialists, with a focus on enrolling patients with COPD at the highest risk for readmission. Patients who opted in were followed by MIH for a total of 30 days.

The first visit was made as usual within 48 hours of discharge. Patients received education, medication reconciliation, vitals examination, home safety evaluation, and a facilitated telehealth evaluation with the APC. What differentiates the pathway from standard MIH services is that after the first visit, the follow-ups are prescheduled and more numerous. This is outlined best in Figure 2, which serves as a guideline for coordinators and paramedics in the cadence and focus of visits for each patient on the pathway. The initial 2 weeks are designed to check in on the patient in person and ensure active recovery. The latter 2 weeks are designed to ensure that the patient follows up with their care team and understands their medications and action plan going forward. Pathway patients were also monitored using a remote patient monitoring (RPM) kit. On the initial visit, paramedics set up the RPM equipment and provided a demonstration on how to use each device. Patients were issued a Bluetooth-enabled scale, blood pressure cuff, video-enabled tablet, and wearable device. The wearable device continuously recorded respiration rate, heart rate, and oxygen saturation and had fall-detection enabled. Over the course of a month, an experienced MIH nurse monitored the vitals transmitted by the wearable device and checked patient weight and blood pressure 1 to 2 times per day, utilizing these data to proactively outreach to patients if abnormalities occurred. Prior to the start of the program, the MIH nurse contacted each patient to introduce herself and notify them that they would receive a call if any vitals were unusual.

Results

MIH treated 214 patients with COPD from March 2, 2020, to August 2, 2021. In total, paramedics made more than 650 visits. Eighty-seven of these were documented as urgent visits with AECOPD, shortness of breath, cough, or wheezing as the primary concern.

In the calendar year of 2019, our institution admitted 804 patients with a primary diagnosis of COPD. In 2020, the first year with MIH, total COPD admissions decreased to 473; however, the effect of the COVID-19 pandemic cannot be discounted. At of the time of writing—219 days into 2021—253 patients with COPD have been admitted thus far (Table 1).

Sixteen patients were referred to the MIH COPD Discharge Pathway Pilot during May 2021. Ten patients went on to complete the entire 30-day pathway. Six did not finish the program. Three of these 6 patients were referred by a pulmonary specialist for enrollment but not ultimately referred to the pilot program by case management and therefore not enrolled. The other 3 of the 6 patients who did not complete the pilot program were enrolled but discontinued owing to noncompliance.

Of the 10 patients who completed the pathway, 3 patients were male, and 7 were female. Ages ranged from 55 to 84 years. On average, the RHP found 3.6 medication reconciliation errors per patient. One patient was readmitted within 30 days (only 3 days after the initial discharge), and 5 were readmitted within 90 days.

A retrospective analysis was conducted on patients with COPD who were not provided with MIH services and were admitted to our hospital between September 1, 2020, and March 1, 2021, for comparison. Age, sex, and other related conditions are shown in Table 2. Medication reconciliation error data were not tracked for this demographic, as they did not have an in-home medication reconciliation completed.

Discussion

MIH has treated 214 patients with COPD from March 2, 2020, to August 2, 2021, a 17-month period. In that same timeframe, the hospital experienced a 42% decrease in COPD admissions. Although this effect is not the sole product of MIH (specifically, COVID-19 caused a drop in all-cause hospital admissions), we believe MIH did play a small role in this reduction. Eighty-seven emergent visits were conducted for patients with a primary complaint of AECOPD, shortness of breath, cough, or wheezing. On these visits, MIH provided urgent treatment to prevent the patient returning to the ED and potentially leading to readmission.

The program’s impact extends beyond the numbers. With more than 200 patients with COPD treated at home, we improved hospital flow, shortened patients’ overall length of stay, and increased capacity in the ED and inpatient units. In addition, MIH has been able to fill in care gaps present in the current health care system by providing acute care in the home to patients who otherwise have access-to-care and transportation issues.

With the COPD population prone to having complex medication regimens, medication reconciliations were critical to improving patient outcomes. During the documented medication reconciliations for pathway patients, 8 of 10 patients had medication errors identified. Some of the more common errors included incorrect inhaler usage, patient medication not arriving to the pharmacy for a week or more after discharge, prescribed medication dosages that were too high or too low, and a lack of transportation to pick up the patient’s prescription. Even more problematic is that 7 of these 8 patients required multiple interventions to correct their regimen. What was cited as most beneficial by both the paramedic and the RHP was taking time to walk through each medication individually and ensuring that the patient could recite back how often and when they should be using it. What also proved to be helpful was spending extra time on the inhalers and nebulizers. Multiple patients did not know how to use them properly and/or cited a history of struggling with them.

The MIH COPD pathway patients showed encouraging preliminary results. In the initial 30-day window, only 1 of 10 (10%) patients was readmitted, which is lower than the 37.7% rate for comparable patients who did not have MIH services. This could imply that patients with COPD respond positively to active and consistent management with predetermined points of contact. Ninety-day readmission rates jumped to 5 of 10, with 4 of these patients being readmitted multiple times. Approximately half of these readmissions were COPD related. It is important to remember that the patients being targeted by the pathway are deemed to be at very high risk of readmission. As such, one could expect that even with a successful reduction in rates, pathway patient readmission rates may be slightly elevated compared with national COPD averages.

Given the more personalized and at-home care, patients also expressed higher levels of care satisfaction. Most patients want to avoid the hospital at all costs, and MIH provides a safe and effective alternative. Patients with COPD have also relayed that the education they receive on their medication, disease, and how to use MIH has been useful. This is reflected in the volume of urgent calls that MIH receives. A patient calling MIH in place of 911 shows not only that the patient has a level of trust in the MIH team, but also that they have learned how to recognize symptoms earlier to prevent major flare-ups.

This study had several limitations. On the pilot pathway, 3 patients were removed from MIH services because of repeated noncompliance. These instances primarily involved aggression toward the paramedics, both verbal and physical, as well as refusal to allow the MIH paramedics into the home. Going forward, it will be valuable to have a screening process for pathway patients to determine likelihood of compliance. This could include speaking to the patient’s PCP or other in-hospital providers before accepting them into the program.

Remote patient monitoring also presented its challenges. Despite extensive equipment demonstrations, some patients struggled to grasp the technology. Some of the biggest problems cited were confusion operating the tablet, inability to charge the devices, and issues with connectivity. In the future, it may be useful to simplify the devices even more. Further work should also be done to evaluate the efficacy of remote patient technology in this specific setting, as studies have shown varied results with regard to RPM success. In 1 meta-analysis of 91 different published studies that took place between 2015 and 2020, approximately half of the RPM studies resulted in no change in hospital readmissions, length of stay, or ED presentations, while the other half saw improvement in these categories.¹¹ We suspect that the greatest benefits of our work came from the patient education, trust built over time, in-home urgent evaluations, and 1-on-1 time with the paramedic.

With many people forgoing care during the pandemic, COVID-19 has also caused a downward trend in overall and non-COVID-19 admissions. In a review of more than 500 000 ED visits in Massachusetts between March 11, 2020, and September 8, 2021, there was a 32% decrease in admissions when compared with those same weeks in 2019.¹⁰ There was an even greater drop-off when it came to COPD and other respiratory-related admissions. In evaluating the impact SSH MIH has made, it is important to recognize that the pandemic contributed to reducing total COPD admissions. Adding merit to the success of MIH in contributing to the reduction in admissions is the continued downward trend in total COPD admissions year-to-date in 2021. Despite total hospital usage rates increasing at our institution over the course of this year, the overall COPD usage rates have remained lower than before.

Another limitation is that in the selection of patients, both for general MIH care and for the COPD pathway, there was room for bias. The pilot pathway was offered specifically to patients at the highest risk for readmission; however, patients were referred at the discretion of our pulmonologist care team and not selected by any standardized rubric. Additionally, MIH only operates on a 16-hour schedule. This means that patients admitted to the ED or inpatient at night may sometimes be missed and not referred to MIH for care.

The biggest caveat to the pathway results is, of course, the small sample size. With only 10 patients completing the pilot, it is impossible to come to any concrete conclusions. Such an intensive pathway requires dedicating large amounts of time and resources, which is why the pilot was small. However, considering the preliminary results, the outline given could provide a starting point for future work to evaluate a similar COPD pathway on a larger scale.

Future considerations

Risk stratification of patients is critical to achieving even further reductions in readmissions and mortality. Hospitals can get the most value from MIH by focusing on patients with COPD at the highest risk for return, and it would be valuable to explicitly define who fits into this criterion. Utilizing a tool similar to the LACE index for readmission but tailoring it to patients with COPD when admitting patients into the program would be a logical next step.

Reducing the points of patient contact could also prove valuable. Over the course of a patient’s time with MIH, they interact with an RHP, APC, paramedic, RN, and discharging hospitalist. Additionally, we found many patients had VNA services, home health aides, care managers, and/or social workers involved in their care. Some patients found this to be stressful and overwhelming, especially regarding the number of outreach calls soon after discharge.

It would also be useful to look at the impact of MIH on total COPD admissions independent of the artificial variation created by COVID-19. This may require waiting until there are higher levels of vaccination and/or finding ways to control for the potential variation. In doing so, one could look at the direct effect MIH has on COPD readmissions when compared with a control group without MIH services, which could then serve as a comparison point to the results of this study. As it stands, given the relative novelty of MIH, there are primarily only broad reviews of MIH’s effectiveness and/or impact on patient populations that have been published. Of these, only a few directly mentioned MIH in relation to COPD, and none have comparable designs that look at overall COPD hospitalization reductions post-MIH implementation. There is also little to no literature looking at the utilization of MIH in a more intensive COPD outpatient pathway.

Finally, MIH has proven to be a useful tool for our institution in many areas outside of COPD management. Specifically, MIH has been utilized as a mobile influenza and COVID-19 vaccination unit and in-home testing service and now operates both a hospital-at-home and skilled nursing facility-at-home program. Analysis of the overall needs of the system and where this valuable MIH resource would have the biggest impact will be key in future growth opportunities.

Conclusion

MIH has been an invaluable tool for our hospital, especially in light of the recent shift toward more in-home and virtual care. MIH cared for 214 patients with COPD with more than 650 visits between March 2020 and August 2021. Eighty-seven emergent COPD visits were conducted, and COPD admissions were reduced dramatically from 2019 to 2020. MIH services have improved hospital flow, allowed for earlier discharge from the ED and inpatient care, and helped improve all-cause COPD readmission rates. The importance of postdischarge care and follow-up visits for patients with COPD, especially those at higher risk for readmission, cannot be understated. We hope our experience working to improve COPD patient outcomes serves as valuable a reference point for future MIH programs.

Corresponding author: Kelly Lannutti, DO, Mobile Integrated Health and Emergency Medicine Department, South Shore Health, 55 Fogg Rd, South Weymouth, MA 02190; [email protected].

Financial disclosures: None.

From the Mobile Integrated Health and Emergency Medicine Department, South Shore Health, Weymouth, MA.

Objective: To develop a process through which Mobile Integrated Health (MIH) can treat patients with chronic obstructive pulmonary disease (COPD) at high risk for readmission in an outpatient setting. In turn, South Shore Hospital (SSH) looks to leverage MIH to improve hospital flow, decrease costs, and improve patient quality of life.

Methods: With the recent approval of hospital-based MIH programs in Massachusetts, SSH used MIH to target specific patient demographics in an at-home setting. Here, we describe the planning and implementation of this program for patients with COPD. Key components to success include collaboration among providers, early follow-up visits, patient education, and in-depth medical reconciliations. Analysis includes a retrospective examination of a structured COPD outpatient pathway.

Results: A total of 214 patients with COPD were treated with MIH from March 2, 2020, to August 1, 2021. Eighty-seven emergent visits were conducted, and more than 650 total visits were made. A more intensive outpatient pathway was implemented for patients deemed to be at the highest risk for readmission by pulmonary specialists.

Conclusion: This process can serve as a template for future institutions to treat patients with COPD using MIH or similar hospital-at-home services.

Keywords: Mobile Integrated Health; MIH; COPD; population health.

It is estimated that chronic obstructive pulmonary disease (COPD) affects more than 16 million Americans¹ and accounts for more than 700 000 hospitalizations each year in the US.² Thirty-day COPD readmission rates hover around 22.6%,³ and readmission within 90 days of initial discharge can jump to between 31% and 35%.⁴ This is the highest of any patient demographic, and more than half of these readmissions are due to COPD. To counter this, government and state entities have made nationwide efforts to encourage health systems to focus on preventing readmissions. In October 2014, the US added COPD to the active list of diseases in Medicare’s Hospital Readmissions Reduction Program (HRRP), later adding COPD to various risk-based bundle programs that hospitals may choose to opt into. These programs are designed to reduce all-cause readmissions after an acute exacerbation of COPD, as the HRRP penalizes hospitals for all-cause 30-day readmissions.³ However, what is most troubling is that, despite these efforts, readmission rates have not dropped in the past decade.⁵ COPD remains the third leading cause of death in America and still poses a significant burden both clinically and economically to hospitals across the country.³

A solution that is gaining traction is to encourage outpatient care initiatives and discharge pathways. Early follow-up is proven to decrease chances of readmission, and studies have shown that more than half of readmitted patients did not follow up with a primary care physician (PCP) within 30 days of their initial discharge.⁶ Additionally, large meta-analyses show hospital-at-home–type programs can lead to reductions in mortality, decrease costs, decrease readmissions, and increase patient satisfaction.^7-9 Therefore, for more challenging patient populations with regard to readmissions and mortality, Mobile Integrated Health (MIH) may be the solution that we are looking for.

This article presents a viable process to treat patients with COPD in an outpatient setting with MIH Services. It includes an examination of what makes MIH successful as well as a closer look at a structured COPD outpatient pathway.

Methods

South Shore Hospital (SSH) is an independent, not-for-profit hospital located in Weymouth, Massachusetts. It is host to 400 beds, 100 000 annual visits to the emergency department (ED), and its own emergency medical services program. In March 2020, SSH became the first Massachusetts hospital-based program to acquire an MIH license. MIH paramedics receive 300 hours of specialized training, including time in clinical clerkships shadowing pulmonary specialists, cardiology/congestive heart failure (CHF) providers, addiction medicine specialists, home care and care progression colleagues, and wound center providers. Specialist providers become more comfortable with paramedic capabilities as a result of these clerkships, improving interactions and relationships going forward. At the time of writing, SSH MIH is staffed by 12 paramedics, 4 of whom are full time; 2 medical directors; 2 internal coordinators; and 1 registered nurse (RN). A minimum of 2 paramedics are on call each day, each with twice-daily intravenous (IV) capabilities. The first shift slot is 16 hours, from 7:00 AM to 11:00 PM. The second slot is 12 hours, from 8:00 AM to 8:00 PM. Each paramedic cares for 4 to 6 patients per day.

The goal of developing MIH is to improve upon the current standard of care. For hospitals without MIH capabilities, there are limited options to treat acute exacerbations of chronic obstructive pulmonary disease (AECOPD) patients postdischarge. It is common for the only outpatient referral to be a lone PCP visit, and many patients who need more extensive treatment options don’t have access to a timely PCP follow-up or resources for alternative care. This is part of why there has been little improvement in the 21st century with regard to reducing COPD hospitalizations. As it stands, approximately 10% to 55% of all AECOPD readmissions are preventable, and more than one-fifth of patients with COPD are rehospitalized within 30 days of discharge.³ In response, MIH has been designed to provide robust care options postdischarge in the patient home, with the eventual goal of reducing preventable hospitalizations and readmissions for all patients with COPD.

Patient selection

Patients with COPD are admitted to the MIH program in 1 of 3 ways: (1) directly from the ED; (2) at discharge from inpatient care; or (3) from a SSH affiliate referral.

With option 1, the ED physician assesses patient need for MIH services and places a referral to MIH in the electronic medical record (EMR). The ED provider also specifies whether follow-up is “urgent” and sets an alternative level of priority if not. With option 2, the inpatient provider and case manager follow a similar process, first determining whether a patient is stable enough to go home with outpatient services and then if MIH would be beneficial to the patient. If the patient is discharged home, a follow-up visit by an MIH paramedic is scheduled within 48 hours. With option 3, the patient is referred to MIH by an affiliate of SSH. This can be through the patient’s PCP, their visiting nurse association (VNA) service provider, or through any SSH urgent care center. In all 3 referral processes, the patient has the option to consent into the program or refuse services. Once referred, MIH coordinators review patients on a case-by-case basis. Patients with a history of prior admissions are given preference, with the goal being to keep the frailer, older, and comorbid patients at home. Other considerations include recent admission(s), length of stay, and overall stability. Social factors considered by the team include whether the patient lives alone and has alternative home services and the patient’s total distance from the hospital. Patients with a history of violence, mental health concerns, or substance abuse go through a more extensive screening process to ensure paramedic safety.

Given their patient profile and high hospital usage rates, MIH is sometimes requested for patients with end-stage COPD. Many of these patients benefit from MIH goals-of-care conversations to ensure they understand all their options and choose an approach that fits their preferences. In these cases, MIH has been instrumental in assisting patients and families with completing Medical Orders for Life-Sustaining Treatment and health care proxy forms and transitioning patients to palliative care, hospice, advanced-illness care management programs, or other long-term care options to prevent the need for rehospitalization. The MIH team focuses heavily on providing quality end-of-life care for patients and aligning care models with patient and family goals, often finding that having these sensitive conversations in the comfort of home enables transparency and comfort not otherwise experienced by hospitalized patients.

Initial patient follow-up

For patients with COPD enrolled in the MIH program, their first patient visit is scheduled within 48 hours of discharge from the ED or inpatient hospital. In many cases, this visit can be conducted within 24 hours of returning home. Once at the patient’s home, the paramedic begins with general introductions, vital signs, and a basic physical examination. The remainder of the visit focuses on patient education and symptom recognition. The paramedic reviews the COPD action plan (Figure 1), including how to recognize the onset of a “COPD flare-up” and the appropriate response. Patients are provided with a paper copy of the action plan for future reference.

The next point of educational emphasis is the patient’s individual medication regimen. This involves differentiating between control (daily) and rescue medications, how to use oxygen tanks, and how to safely wean off of oxygen. Specific attention is given to how to use a metered-dose inhaler, as studies have found that more than half of all patients use their inhaler devices incorrectly.¹⁰

Paramedics also complete a home safety evaluation of the patient’s residence, which involves checking for tripping hazards, lighting, handrails, slippery surfaces, and general access to patient medication. If an issue cannot be resolved by the paramedic on site and is considered a safety hazard, it is reported back to the hospital team for assistance.

Finally, patients are educated on the capabilities of MIH as a program and what to expect when they reach out over the phone. Patients are given a phone number to call for both “urgent” and “nonemergent” situations. In both cases, they will be greeted by one of the MIH coordinators or nurses who assist with triaging patient symptoms, scheduling a visit, or providing other guidance. It is a point of emphasis that the patient can use MIH for more than just COPD and should call in the event of any illness or discomfort (eg, dehydration, fever) in an effort to prevent unnecessary ED visits.

Medication reconciliation

Patients with COPD often have complex medication regimens. To help alleviate any confusion, medication reconciliations are done in conjunction with every COPD patient’s initial visit. During this process, the paramedic first takes an inventory of all medications in the patient home. Common reasons for nonadherence include confusing packaging, inability to reach the pharmacy, or medication not being covered by insurance. The paramedic reconciles the updated medication regimen against the medications that are physically in the home. Once the initial review is complete, the paramedic teleconferences with a registered hospitalist pharmacist (RHP) for a more in-depth review. Over video chat, the RHP reviews each medication individually to make sure the patient understands how many times per day they take each medication, whether it is a control or rescue medication, and what times of the day to take them. The RHP will then clarify any other medication questions the patient has, assure all recent medications have been picked up from the pharmacy, and determine any barriers, such as cost or transportation.

Follow-ups and PCP involvement

At each in-person visit, paramedics coordinate with an advanced practice clinician (APC) through telehealth communication. On these video calls with a provider, the paramedic relays relevant information pertaining to patient history, vital signs, and current status. Any concerning findings, symptoms of COPD flare-ups, or recent changes in status will be discussed. The APC then speaks directly to the patient to gather additional details about their condition and any recent hospitalizations, with their primary role being to make clinical decisions on further treatment. For the COPD population, this often includes orders for the MIH paramedic to administer IV medication (ie, IV methylprednisolone or other corticosteroids), antibiotics, home nebulizers, and at-home oxygen.

Second and third follow-up paramedic visits are often less intensive. Although these visits often still involve telehealth calls to the APC, the overall focus shifts toward medication adherence, ED avoidance, and readmission avoidance. On these visits, the paramedic also checks vitals, conducts a physical examination, and completes follow-up testing or orders per the APC.

PCP involvement is critical to streamlining and transitioning patient care. Patients who are admitted to MIH without insurance or a PCP are assisted in the process of finding one. PCPs automatically receive a patient enrollment letter when their patient is seen by an MIH paramedic. Following each individual visit, paramedic and APC notes are sent to the PCP through the EMR or via fax, at which time the PCP may be consulted on patient history and/or future care decisions. After the transition back to care by their PCP, patients are still encouraged to utilize MIH if acute changes arise. If a patient is readmitted back to the hospital, MIH is automatically notified, and coordinators will assess whether there is continued need for outpatient services or areas for potential improvement.

While MIH visits with patients with COPD are often scheduled, MIH can also be leveraged in urgent situations to prevent the need for a patient to come to the ED or hospital. Patients with COPD are told to call MIH if they have worsening symptoms or have exhausted all methods of self-treatment without an improvement in status. In this case, a paramedic is notified and sent to the patient’s home at the earliest time possible. The paramedic then completes an assessment of the patient’s status and relays information to the MIH APC or medical director. From there, treatment decisions, such as starting the patient on an IV, using nebulizers, or doing an electrocardiogram for diagnostic purposes, are guided by the provider team with the ultimate goal of caring for the patient in the home. For our population, providing urgent care in the home has proven to be an effective way to avoid unnecessary readmissions while still ensuring high-quality patient care.

Outpatient pathway

In May 2021, select patients with COPD were given the option to participate in a more intensive MIH outpatient pathway. Pilot patients were chosen by 2 pulmonary specialists, with a focus on enrolling patients with COPD at the highest risk for readmission. Patients who opted in were followed by MIH for a total of 30 days.

The first visit was made as usual within 48 hours of discharge. Patients received education, medication reconciliation, vitals examination, home safety evaluation, and a facilitated telehealth evaluation with the APC. What differentiates the pathway from standard MIH services is that after the first visit, the follow-ups are prescheduled and more numerous. This is outlined best in Figure 2, which serves as a guideline for coordinators and paramedics in the cadence and focus of visits for each patient on the pathway. The initial 2 weeks are designed to check in on the patient in person and ensure active recovery. The latter 2 weeks are designed to ensure that the patient follows up with their care team and understands their medications and action plan going forward. Pathway patients were also monitored using a remote patient monitoring (RPM) kit. On the initial visit, paramedics set up the RPM equipment and provided a demonstration on how to use each device. Patients were issued a Bluetooth-enabled scale, blood pressure cuff, video-enabled tablet, and wearable device. The wearable device continuously recorded respiration rate, heart rate, and oxygen saturation and had fall-detection enabled. Over the course of a month, an experienced MIH nurse monitored the vitals transmitted by the wearable device and checked patient weight and blood pressure 1 to 2 times per day, utilizing these data to proactively outreach to patients if abnormalities occurred. Prior to the start of the program, the MIH nurse contacted each patient to introduce herself and notify them that they would receive a call if any vitals were unusual.

Results

MIH treated 214 patients with COPD from March 2, 2020, to August 2, 2021. In total, paramedics made more than 650 visits. Eighty-seven of these were documented as urgent visits with AECOPD, shortness of breath, cough, or wheezing as the primary concern.

In the calendar year of 2019, our institution admitted 804 patients with a primary diagnosis of COPD. In 2020, the first year with MIH, total COPD admissions decreased to 473; however, the effect of the COVID-19 pandemic cannot be discounted. At of the time of writing—219 days into 2021—253 patients with COPD have been admitted thus far (Table 1).

Sixteen patients were referred to the MIH COPD Discharge Pathway Pilot during May 2021. Ten patients went on to complete the entire 30-day pathway. Six did not finish the program. Three of these 6 patients were referred by a pulmonary specialist for enrollment but not ultimately referred to the pilot program by case management and therefore not enrolled. The other 3 of the 6 patients who did not complete the pilot program were enrolled but discontinued owing to noncompliance.

Of the 10 patients who completed the pathway, 3 patients were male, and 7 were female. Ages ranged from 55 to 84 years. On average, the RHP found 3.6 medication reconciliation errors per patient. One patient was readmitted within 30 days (only 3 days after the initial discharge), and 5 were readmitted within 90 days.

A retrospective analysis was conducted on patients with COPD who were not provided with MIH services and were admitted to our hospital between September 1, 2020, and March 1, 2021, for comparison. Age, sex, and other related conditions are shown in Table 2. Medication reconciliation error data were not tracked for this demographic, as they did not have an in-home medication reconciliation completed.

Discussion

MIH has treated 214 patients with COPD from March 2, 2020, to August 2, 2021, a 17-month period. In that same timeframe, the hospital experienced a 42% decrease in COPD admissions. Although this effect is not the sole product of MIH (specifically, COVID-19 caused a drop in all-cause hospital admissions), we believe MIH did play a small role in this reduction. Eighty-seven emergent visits were conducted for patients with a primary complaint of AECOPD, shortness of breath, cough, or wheezing. On these visits, MIH provided urgent treatment to prevent the patient returning to the ED and potentially leading to readmission.

The program’s impact extends beyond the numbers. With more than 200 patients with COPD treated at home, we improved hospital flow, shortened patients’ overall length of stay, and increased capacity in the ED and inpatient units. In addition, MIH has been able to fill in care gaps present in the current health care system by providing acute care in the home to patients who otherwise have access-to-care and transportation issues.

With the COPD population prone to having complex medication regimens, medication reconciliations were critical to improving patient outcomes. During the documented medication reconciliations for pathway patients, 8 of 10 patients had medication errors identified. Some of the more common errors included incorrect inhaler usage, patient medication not arriving to the pharmacy for a week or more after discharge, prescribed medication dosages that were too high or too low, and a lack of transportation to pick up the patient’s prescription. Even more problematic is that 7 of these 8 patients required multiple interventions to correct their regimen. What was cited as most beneficial by both the paramedic and the RHP was taking time to walk through each medication individually and ensuring that the patient could recite back how often and when they should be using it. What also proved to be helpful was spending extra time on the inhalers and nebulizers. Multiple patients did not know how to use them properly and/or cited a history of struggling with them.

The MIH COPD pathway patients showed encouraging preliminary results. In the initial 30-day window, only 1 of 10 (10%) patients was readmitted, which is lower than the 37.7% rate for comparable patients who did not have MIH services. This could imply that patients with COPD respond positively to active and consistent management with predetermined points of contact. Ninety-day readmission rates jumped to 5 of 10, with 4 of these patients being readmitted multiple times. Approximately half of these readmissions were COPD related. It is important to remember that the patients being targeted by the pathway are deemed to be at very high risk of readmission. As such, one could expect that even with a successful reduction in rates, pathway patient readmission rates may be slightly elevated compared with national COPD averages.

Given the more personalized and at-home care, patients also expressed higher levels of care satisfaction. Most patients want to avoid the hospital at all costs, and MIH provides a safe and effective alternative. Patients with COPD have also relayed that the education they receive on their medication, disease, and how to use MIH has been useful. This is reflected in the volume of urgent calls that MIH receives. A patient calling MIH in place of 911 shows not only that the patient has a level of trust in the MIH team, but also that they have learned how to recognize symptoms earlier to prevent major flare-ups.

This study had several limitations. On the pilot pathway, 3 patients were removed from MIH services because of repeated noncompliance. These instances primarily involved aggression toward the paramedics, both verbal and physical, as well as refusal to allow the MIH paramedics into the home. Going forward, it will be valuable to have a screening process for pathway patients to determine likelihood of compliance. This could include speaking to the patient’s PCP or other in-hospital providers before accepting them into the program.

Remote patient monitoring also presented its challenges. Despite extensive equipment demonstrations, some patients struggled to grasp the technology. Some of the biggest problems cited were confusion operating the tablet, inability to charge the devices, and issues with connectivity. In the future, it may be useful to simplify the devices even more. Further work should also be done to evaluate the efficacy of remote patient technology in this specific setting, as studies have shown varied results with regard to RPM success. In 1 meta-analysis of 91 different published studies that took place between 2015 and 2020, approximately half of the RPM studies resulted in no change in hospital readmissions, length of stay, or ED presentations, while the other half saw improvement in these categories.¹¹ We suspect that the greatest benefits of our work came from the patient education, trust built over time, in-home urgent evaluations, and 1-on-1 time with the paramedic.

With many people forgoing care during the pandemic, COVID-19 has also caused a downward trend in overall and non-COVID-19 admissions. In a review of more than 500 000 ED visits in Massachusetts between March 11, 2020, and September 8, 2021, there was a 32% decrease in admissions when compared with those same weeks in 2019.¹⁰ There was an even greater drop-off when it came to COPD and other respiratory-related admissions. In evaluating the impact SSH MIH has made, it is important to recognize that the pandemic contributed to reducing total COPD admissions. Adding merit to the success of MIH in contributing to the reduction in admissions is the continued downward trend in total COPD admissions year-to-date in 2021. Despite total hospital usage rates increasing at our institution over the course of this year, the overall COPD usage rates have remained lower than before.

Another limitation is that in the selection of patients, both for general MIH care and for the COPD pathway, there was room for bias. The pilot pathway was offered specifically to patients at the highest risk for readmission; however, patients were referred at the discretion of our pulmonologist care team and not selected by any standardized rubric. Additionally, MIH only operates on a 16-hour schedule. This means that patients admitted to the ED or inpatient at night may sometimes be missed and not referred to MIH for care.

The biggest caveat to the pathway results is, of course, the small sample size. With only 10 patients completing the pilot, it is impossible to come to any concrete conclusions. Such an intensive pathway requires dedicating large amounts of time and resources, which is why the pilot was small. However, considering the preliminary results, the outline given could provide a starting point for future work to evaluate a similar COPD pathway on a larger scale.

Future considerations

Risk stratification of patients is critical to achieving even further reductions in readmissions and mortality. Hospitals can get the most value from MIH by focusing on patients with COPD at the highest risk for return, and it would be valuable to explicitly define who fits into this criterion. Utilizing a tool similar to the LACE index for readmission but tailoring it to patients with COPD when admitting patients into the program would be a logical next step.

Reducing the points of patient contact could also prove valuable. Over the course of a patient’s time with MIH, they interact with an RHP, APC, paramedic, RN, and discharging hospitalist. Additionally, we found many patients had VNA services, home health aides, care managers, and/or social workers involved in their care. Some patients found this to be stressful and overwhelming, especially regarding the number of outreach calls soon after discharge.

It would also be useful to look at the impact of MIH on total COPD admissions independent of the artificial variation created by COVID-19. This may require waiting until there are higher levels of vaccination and/or finding ways to control for the potential variation. In doing so, one could look at the direct effect MIH has on COPD readmissions when compared with a control group without MIH services, which could then serve as a comparison point to the results of this study. As it stands, given the relative novelty of MIH, there are primarily only broad reviews of MIH’s effectiveness and/or impact on patient populations that have been published. Of these, only a few directly mentioned MIH in relation to COPD, and none have comparable designs that look at overall COPD hospitalization reductions post-MIH implementation. There is also little to no literature looking at the utilization of MIH in a more intensive COPD outpatient pathway.

Finally, MIH has proven to be a useful tool for our institution in many areas outside of COPD management. Specifically, MIH has been utilized as a mobile influenza and COVID-19 vaccination unit and in-home testing service and now operates both a hospital-at-home and skilled nursing facility-at-home program. Analysis of the overall needs of the system and where this valuable MIH resource would have the biggest impact will be key in future growth opportunities.

Conclusion

MIH has been an invaluable tool for our hospital, especially in light of the recent shift toward more in-home and virtual care. MIH cared for 214 patients with COPD with more than 650 visits between March 2020 and August 2021. Eighty-seven emergent COPD visits were conducted, and COPD admissions were reduced dramatically from 2019 to 2020. MIH services have improved hospital flow, allowed for earlier discharge from the ED and inpatient care, and helped improve all-cause COPD readmission rates. The importance of postdischarge care and follow-up visits for patients with COPD, especially those at higher risk for readmission, cannot be understated. We hope our experience working to improve COPD patient outcomes serves as valuable a reference point for future MIH programs.

Corresponding author: Kelly Lannutti, DO, Mobile Integrated Health and Emergency Medicine Department, South Shore Health, 55 Fogg Rd, South Weymouth, MA 02190; [email protected].

Financial disclosures: None.

From Northwell Health, Lake Success, NY.

Objective: Northwell Health, New York’s largest health care organization, rapidly adopted technology solutions to support patient and family communication during the COVID-19 pandemic.

Methods: This case series outlines the pragmatic, interdisciplinary approach Northwell underwent to rapidly implement patient virtual visitation processes during the peak of the initial crisis.

Results: Implementation of large-scale virtual visitation required leadership, technology, and dedicated, empathetic frontline professionals. Patient and family feedback uncovered varied feelings and perspectives, from confusion to gratitude.

Conclusion: Subsequent efforts to obtain direct patient and family perspectives and insights helped Northwell identify areas of strength and ongoing performance improvement.

Keywords: virtual visitation; COVID-19; technology; communication; patient experience.

The power of human connection has become increasingly apparent throughout the COVID-19 pandemic and subsequent recovery phases. Due to the need for social distancing, people worldwide have turned to virtual means of communication, staying in touch with family, friends, and colleagues via digital technology platforms. On March 18, 2020, the New York State Department of Health (NYSDOH) issued a health advisory, suspending all hospital visitation.¹ As a result, hospitals rapidly transformed existing in-person visitation practices to meet large-scale virtual programming needs.

Family members often take on various roles—such as advocate, emotional support person, and postdischarge caregiver—for an ill or injured loved one.² The Institute for Patient- and Family-Centered Care, a nonprofit organization founded in 1992, has been leading a cultural transformation where families are valued as care partners, as opposed to “visitors.”³ Although widely adopted and well-received in specialized units, such as neonatal intensive care units,⁴ virtual visitation had not been widely implemented across adult care settings. The NYSDOH guidance therefore required organizational leadership, innovation, flexibility, and systems ingenuity to meet the evolving needs of patients, families, and health care professionals. An overarching goal was ensuring patients and families were afforded opportunities to stay connected throughout hospitalization.

Reflecting the impact of COVID-19 surges, hospital environments became increasingly depersonalized, with health care providers wearing extensive personal protective equipment (PPE) and taking remarkable measures to socially distance and minimize exposure. Patients’ room doors were kept primarily closed, while codes and alerts blared in the halls overhead. The lack of families and visitors became increasingly obvious, aiding feelings of isolation and confinement. With fear of nosocomial transmission, impactful modalities (such as sitting at the bedside) and empathetic, therapeutic touch were no longer taking place.

With those scenarios—common to so many health care systems during the pandemic—as a backdrop, comes our experience. Northwell Health is the largest health care system in New York State, geographically spread throughout New York City’s 5 boroughs, Westchester County, and Long Island. With 23 hospitals, approximately 820 medical practices, and over 72 000 employees, Northwell has cared for more than 100 000 COVID-positive patients to date. This case series outlines a pragmatic approach to implementing virtual visitation during the initial peak and obtaining patient and family perspectives to help inform performance improvement and future programming.

Methods

Implementing virtual visitation

Through swift and focused multidisciplinary collaboration, numerous Northwell teams came together to implement large-scale virtual visitation across the organization during the first wave of the COVID crisis. The initial priority involved securing devices that could support patient-family communication. Prior to COVID, each facility had only a handful of tablets that were used primarily during leadership rounding, so once visitation was restricted, we needed a large quantity of devices within a matter of days. Through diligent work from System Procurement and internal Foundation, Northwell was able to acquire nearly 900 devices, including iPads, PadInMotion tablets, and Samsung tablets.

Typically, the benefits of using wireless tablets within a health care setting include long battery life, powerful data processing, advanced operating systems, large screens, and easy end-user navigation.⁴ During COVID-19 and its associated isolation precautions, tablets offered a lifeline for effective and socially distant communication. With new devices in hand, the system Office of the Chief Information Officer (OCIO) and site-based Information Technology (IT) teams were engaged. They worked tirelessly to streamline connectivity, download necessary apps, test devices on approved WiFi networks, and troubleshoot issues. Once set up, devices were strategically deployed across all Northwell hospitals and post-acute rehabilitation facilities.

Frontline teams quickly realized that a model similar to mobile proning teams, who focus solely on turning and positioning COVID patients to promote optimal respiratory ventilation,⁵ was needed to support virtual visitation. During the initial COVID wave, elective surgeries were not permissible, as per the NYSDOH. As a result, large numbers of clinical and nonclinical ambulatory surgery employees were redeployed throughout the organization, with many assigned and dedicated to facilitating newly created virtual visitation processes. These employees were primarily responsible for creating unit-based schedules, coordinating logistics, navigating devices on behalf of patients, being present during video calls, and sanitizing the devices between uses. Finally, if necessary, virtual interpretation services were used to overcome language barriers between staff and patients.

What began as an ad hoc function quickly became a valued and meaningful role. Utilizing triage mentality, virtual visitation was first offered during unit-based rounding protocols to those patients with the highest acuity and need to connect with family. We had no formal script; instead, unit-based leaders and frontline team members had open dialogues with patients and families to gauge their interest in virtual visitation. That included patients with an active end-of-life care plan, critically ill patients within intensive care units, and those soon to be intubated or recently extubated. Utilization also occurred within specialty areas such as labor and delivery, pediatrics, inpatient psychiatry, medical units, and long-term rehab facilities. Frontline teams appreciated the supplementary support so they could prioritize ongoing physical assessments and medical interventions. Donned in PPE, virtual visitation team members often served as physical extensions of the patient’s loved ones—holding their hand, offering prayers, and, at times, bearing witness to a last breath. In reflecting on that time, this role required absolute professionalism, empathy, and compassion.

In summer 2020, although demand for virtual visitation was still at an all-time high when ambulatory surgery was reinstated, redeployed staff returned to their responsibilities. To fill this void without interruption to patients and their families, site leaders quickly pivoted and refined processes and protocols utilizing Patient & Customer Experience and Hospitality department team members. Throughout spring 2021, the NYSDOH offered guidance to open in-person visitation, and the institution’s Clinical Advisory Group has been taking a pragmatic approach to doing that in a measured and safe manner across care settings.

Listening to the ‘voice’ of patients and families

Our institution’s mission is grounded in providing “quality service and patient-centered care.” Honoring those tenets, during the initial COVID wave, the system “Voice of the Customer End User Device Workgroup” was created with system and site-based interdisciplinary representation. Despite challenging and unprecedented times, conscious attention and effort was undertaken to assess the use and impact of virtual devices. One of the major work streams was to capture and examine patient and family thoughts, feedback, and the overall experience as it relates to virtual visitation.

The system Office of Patient & Customer Experience (OPCE), led by Sven Gierlinger, SVP Chief Experience Officer, reached out to our colleagues at Press Ganey to add a custom question to patient experience surveys. Beginning on December 1, 2020, discharged inpatients were asked to rate the “Degree to which you were able to stay connected with your family/caregiver during your stay.” Potential answers include the Likert scale responses of Always, Usually, Sometimes, and Never, with “Always” representing the Top Box score. The OPCE team believes these quantitative insights are important to track and trend, particularly since in-person and virtual visitation remain in constant flux.

In an effort to obtain additional, focused, qualitative feedback, OPCE partnered with our institution’s Digital Patient Experience (dPX) colleagues. The approach consisted of voluntary, semistructured, interview-type conversations with patients and family members who engaged in virtual visitation multiple times while the patient was hospitalized. OPCE contacted site-based Patient Experience leads, also known as Culture Leaders, at 3 hospitals, asking them to identify potential participants. This convenience sample excluded instances where the patient passed away during and/or immediately following hospitalization.

The OPCE team phoned potential interview candidates to make a personalized connection, explain the purpose of the interviews, and schedule them, if interested. For consistency, the same Digital Customer Experience Researcher on the dPX team facilitated all sessions, which were 30-minute, semiscripted interviews conducted virtually via Microsoft Teams. The tone was intentionally conversational so that patients and family members would feel comfortable delving into themes that were most impactful during their experience. After some initial ice breakers, such as “What were some of your feelings about being a patient/having a loved one in the hospital during the early days of the COVID-19 pandemic?” we moved on to some more pragmatic, implementation questions and rating scales. These included questions such as “How did you first learn about the option for virtual visitation? Was it something you inquired about or did someone offer it to you? How was it explained to you?” Patients were also asked, on a scale of 1 (easy) to 5 (difficult), to rate their experience with the technology aspect when connecting with their loved ones. They also provided verbal consent to be recorded and were given a $15 gift card upon completion of the interview.

Transcriptions were generated by uploading the interview recordings to a platform called UserTesting. In addition to these transcriptions, this platform also allowed for a keyword mapping tool that organized high-level themes and adjectives into groupings along a sentiment axis from negative to neutral to positive. Transcripts were then read carefully and annotated by the Digital Customer Experience Researcher, which allowed for strengthening of some of the automated themes as well as the emergence of new, more nuanced themes. These themes were organized into those that we could address with design and/or procedure updates (actionable insights), those that came up most frequently overall (frequency), and those that came up across our 3 interview sessions (commonality).

This feedback, along with the responses to the new Press Ganey question, was presented to the system Voice of the Customer End User Device Workgroup. The results led to robust discussion and brainstorming regarding how to improve the process to be more patient-centered. Findings were also shared with our hospital-based Culture Leaders. As many of their local strategic plans focused on patient-family communication, this information was helpful to them in considering plans for expansion and/or sustaining virtual visitation efforts. The process map in the Figure outlines key milestones within this feedback loop.

Outcomes

During the height of the initial COVID-19 crisis, virtual visitation was a new and ever-evolving process. Amidst the chaos, mechanisms to capture the quantity and quality of virtual visits were not in place. Based on informal observation, a majority of patients utilized personal devices to connect with loved ones, and staff even offered their own cellular devices to facilitate timely patient-family communication. The technology primarily used included FaceTime, Zoom, and EZCall, as there was much public awareness and comfort with those platforms.

In the first quarter of 2021, our institution overall performed at a Top Box score of 60.2 for our ability to assist patients with staying connected to their family/caregiver during their inpatient visit. With more than 6700 returned surveys during that time period, our hospitals earned Top Box scores ranging between 48.0 and 75.3. At this time, obtaining a national benchmark ranking is not possible, because the question regarding connectedness is unique to Northwell inpatient settings. As other health care organizations adopt this customized question, further peer-to-peer measurements can be established.

Regarding virtual interviews, 25 patients were initially contacted to determine their interest in participating. Of that sample, 17 patients were engaged over the phone, representing a reach rate of 68%. Overall, 10 interviews were scheduled; 7 patients did not show up, resulting in 3 completed interviews. During follow-up, “no-show” participants either gave no response or stated they had a conflict at their originally scheduled time but were not interested in rescheduling due to personal circumstances. Through such conversations, ongoing health complications were found to be a reoccurring barrier to participation.

Each of the participating patients had experienced being placed on a ventilator. They described their hospitalization as a time of “confusion and despair” in the first days after extubation. After we reviewed interview recordings, a reoccurring theme across all interviews was the feeling of gratitude. Patients expressed deep and heartfelt appreciation for being given the opportunity to connect as a family. One patient described virtual visitation sessions as her “only tether to reality when nothing else made sense.”

Interestingly enough, none of the participants knew that virtual visitation was an option and/or thought to inquire about it before a hospital staff member offered to set up a session. Patients recounted how they were weak and physically unable to connect to the sessions without significant assistance. They reported examples of not having the physical strength to hold up the tablet or needing a staff member to facilitate the conversation because the patient could not speak loudly enough and/or they were having difficulty hearing over background medical equipment noises. Participants also described times when a nurse or social worker would stand and hold the tablet for 20 to 30 minutes at a time, further describing mixed feelings of gratitude, guilt for “taking up their time,” and a desire for more privacy to have those precious conversations.

Discussion

Our institution encountered various barriers when establishing, implementing, and sustaining virtual visitation. The acquisition and bulk purchasing of devices, so that each hospital unit and department had adequate par levels during a high-demand time frame, was an initial challenge. Ensuring appropriate safeguards, software programming, and access to WiFi required ingenuity from IT teams. Leaders sought to advocate for the importance of prioritizing virtual visitation alongside clinical interventions. For team members, education was needed to build awareness, learn how to navigate technology, and troubleshoot, in real-time, issues such as poor connectivity. However, despite these organizational struggles, the hospital’s frontline professionals fully recognized and understood the humanistic value of connecting ill patients with their loved ones. Harnessing their teamwork, empathy, and innovative spirits, they forged through such difficulties to create meaningful interactions.

Although virtual visitation occurred prior to the COVID-19 pandemic, particularly in subspecialty areas such as neonatal intensive care units,⁶ it was not commonplace in most adult inpatient care settings. However, now that virtual means to communication are widely accepted and preferred, our hospital anticipates these offerings will become a broad patient expectation and, therefore, part of standard hospital care and operations. Health care leaders and interdisciplinary teams must therefore prioritize virtual visitation protocols, efforts, and future programming. It is no longer an exception to the rule, but rather a critical approach when ensuring quality communication between patients, families, and care teams.

We strive to continually improve by including user feedback as part of an interactive design process. For a broader, more permanent installation of virtual visitation, health care organizations must proactively promote this capability as a valued option. Considering health literacy and comfort with technology, functionality, and logistics must be carefully explained to patients and their families. This may require additional staff training so that they are knowledgeable, comfortable with, and able to troubleshoot questions/concerns in real time. There needs to be an adequate number of mobile devices available at a unit or departmental level to meet short-term and long-term demands. Additionally, now that we have emerged from our initial crisis-based mentality, it is time to consider alternatives to alleviate the need for staff assistance, such as mounts to hold devices and enabling voice controls.

Conclusion

As an organization grounded in the spirit of innovation, Northwell has been able to quickly pivot, adopting virtual visitation to address emerging and complex communication needs. Taking a best practice established during a crisis period and engraining it into sustainable organizational culture and operations requires visionary leadership, strong teamwork, and an unbridled commitment to patient and family centeredness. Despite unprecedented challenges, our commitment to listening to the “voice” of patients and families never wavered. Using their insights and feedback as critical components to the decision-making process, there is much work ahead within the realm of virtual visitation.

Acknowledgements: The authors would like to acknowledge the Northwell Health providers, frontline health care professionals, and team members who worked tirelessly to care for its community during initial COVID-19 waves and every day thereafter. Heartfelt gratitude to Northwell’s senior leaders for the visionary leadership; the OCIO and hospital-based IT teams for their swift collaboration; and dedicated Culture Leaders, Patient Experience team members, and redeployed staff for their unbridled passion for caring for patients and families. Special thanks to Agnes Barden, DNP, RN, CPXP, Joseph Narvaez, MBA, and Natalie Bashkin, MBA, from the system Office of Patient & Customer Experience, and Carolyne Burgess, MPH, from the Digital Patient Experience teams, for their participation, leadership, and syngeristic partnerships.

Corresponding Author: Nicole Giammarinaro, MSN, RN, CPXP, Director, Patient & Customer Experience, Northwell Health, 2000 Marcus Ave, Lake Success, NY 11042; [email protected].

Financial disclosures: Sven Gierlinger serves on the Speakers Bureau for Northwell Health and as an Executive Board Member for The Beryl Institute.

From Northwell Health, Lake Success, NY.

Objective: Northwell Health, New York’s largest health care organization, rapidly adopted technology solutions to support patient and family communication during the COVID-19 pandemic.

Methods: This case series outlines the pragmatic, interdisciplinary approach Northwell underwent to rapidly implement patient virtual visitation processes during the peak of the initial crisis.

Results: Implementation of large-scale virtual visitation required leadership, technology, and dedicated, empathetic frontline professionals. Patient and family feedback uncovered varied feelings and perspectives, from confusion to gratitude.

Conclusion: Subsequent efforts to obtain direct patient and family perspectives and insights helped Northwell identify areas of strength and ongoing performance improvement.

Keywords: virtual visitation; COVID-19; technology; communication; patient experience.

The power of human connection has become increasingly apparent throughout the COVID-19 pandemic and subsequent recovery phases. Due to the need for social distancing, people worldwide have turned to virtual means of communication, staying in touch with family, friends, and colleagues via digital technology platforms. On March 18, 2020, the New York State Department of Health (NYSDOH) issued a health advisory, suspending all hospital visitation.¹ As a result, hospitals rapidly transformed existing in-person visitation practices to meet large-scale virtual programming needs.

Family members often take on various roles—such as advocate, emotional support person, and postdischarge caregiver—for an ill or injured loved one.² The Institute for Patient- and Family-Centered Care, a nonprofit organization founded in 1992, has been leading a cultural transformation where families are valued as care partners, as opposed to “visitors.”³ Although widely adopted and well-received in specialized units, such as neonatal intensive care units,⁴ virtual visitation had not been widely implemented across adult care settings. The NYSDOH guidance therefore required organizational leadership, innovation, flexibility, and systems ingenuity to meet the evolving needs of patients, families, and health care professionals. An overarching goal was ensuring patients and families were afforded opportunities to stay connected throughout hospitalization.

Reflecting the impact of COVID-19 surges, hospital environments became increasingly depersonalized, with health care providers wearing extensive personal protective equipment (PPE) and taking remarkable measures to socially distance and minimize exposure. Patients’ room doors were kept primarily closed, while codes and alerts blared in the halls overhead. The lack of families and visitors became increasingly obvious, aiding feelings of isolation and confinement. With fear of nosocomial transmission, impactful modalities (such as sitting at the bedside) and empathetic, therapeutic touch were no longer taking place.

With those scenarios—common to so many health care systems during the pandemic—as a backdrop, comes our experience. Northwell Health is the largest health care system in New York State, geographically spread throughout New York City’s 5 boroughs, Westchester County, and Long Island. With 23 hospitals, approximately 820 medical practices, and over 72 000 employees, Northwell has cared for more than 100 000 COVID-positive patients to date. This case series outlines a pragmatic approach to implementing virtual visitation during the initial peak and obtaining patient and family perspectives to help inform performance improvement and future programming.

Methods

Implementing virtual visitation

Through swift and focused multidisciplinary collaboration, numerous Northwell teams came together to implement large-scale virtual visitation across the organization during the first wave of the COVID crisis. The initial priority involved securing devices that could support patient-family communication. Prior to COVID, each facility had only a handful of tablets that were used primarily during leadership rounding, so once visitation was restricted, we needed a large quantity of devices within a matter of days. Through diligent work from System Procurement and internal Foundation, Northwell was able to acquire nearly 900 devices, including iPads, PadInMotion tablets, and Samsung tablets.

Typically, the benefits of using wireless tablets within a health care setting include long battery life, powerful data processing, advanced operating systems, large screens, and easy end-user navigation.⁴ During COVID-19 and its associated isolation precautions, tablets offered a lifeline for effective and socially distant communication. With new devices in hand, the system Office of the Chief Information Officer (OCIO) and site-based Information Technology (IT) teams were engaged. They worked tirelessly to streamline connectivity, download necessary apps, test devices on approved WiFi networks, and troubleshoot issues. Once set up, devices were strategically deployed across all Northwell hospitals and post-acute rehabilitation facilities.

Frontline teams quickly realized that a model similar to mobile proning teams, who focus solely on turning and positioning COVID patients to promote optimal respiratory ventilation,⁵ was needed to support virtual visitation. During the initial COVID wave, elective surgeries were not permissible, as per the NYSDOH. As a result, large numbers of clinical and nonclinical ambulatory surgery employees were redeployed throughout the organization, with many assigned and dedicated to facilitating newly created virtual visitation processes. These employees were primarily responsible for creating unit-based schedules, coordinating logistics, navigating devices on behalf of patients, being present during video calls, and sanitizing the devices between uses. Finally, if necessary, virtual interpretation services were used to overcome language barriers between staff and patients.

What began as an ad hoc function quickly became a valued and meaningful role. Utilizing triage mentality, virtual visitation was first offered during unit-based rounding protocols to those patients with the highest acuity and need to connect with family. We had no formal script; instead, unit-based leaders and frontline team members had open dialogues with patients and families to gauge their interest in virtual visitation. That included patients with an active end-of-life care plan, critically ill patients within intensive care units, and those soon to be intubated or recently extubated. Utilization also occurred within specialty areas such as labor and delivery, pediatrics, inpatient psychiatry, medical units, and long-term rehab facilities. Frontline teams appreciated the supplementary support so they could prioritize ongoing physical assessments and medical interventions. Donned in PPE, virtual visitation team members often served as physical extensions of the patient’s loved ones—holding their hand, offering prayers, and, at times, bearing witness to a last breath. In reflecting on that time, this role required absolute professionalism, empathy, and compassion.

In summer 2020, although demand for virtual visitation was still at an all-time high when ambulatory surgery was reinstated, redeployed staff returned to their responsibilities. To fill this void without interruption to patients and their families, site leaders quickly pivoted and refined processes and protocols utilizing Patient & Customer Experience and Hospitality department team members. Throughout spring 2021, the NYSDOH offered guidance to open in-person visitation, and the institution’s Clinical Advisory Group has been taking a pragmatic approach to doing that in a measured and safe manner across care settings.

Listening to the ‘voice’ of patients and families

Our institution’s mission is grounded in providing “quality service and patient-centered care.” Honoring those tenets, during the initial COVID wave, the system “Voice of the Customer End User Device Workgroup” was created with system and site-based interdisciplinary representation. Despite challenging and unprecedented times, conscious attention and effort was undertaken to assess the use and impact of virtual devices. One of the major work streams was to capture and examine patient and family thoughts, feedback, and the overall experience as it relates to virtual visitation.

The system Office of Patient & Customer Experience (OPCE), led by Sven Gierlinger, SVP Chief Experience Officer, reached out to our colleagues at Press Ganey to add a custom question to patient experience surveys. Beginning on December 1, 2020, discharged inpatients were asked to rate the “Degree to which you were able to stay connected with your family/caregiver during your stay.” Potential answers include the Likert scale responses of Always, Usually, Sometimes, and Never, with “Always” representing the Top Box score. The OPCE team believes these quantitative insights are important to track and trend, particularly since in-person and virtual visitation remain in constant flux.

In an effort to obtain additional, focused, qualitative feedback, OPCE partnered with our institution’s Digital Patient Experience (dPX) colleagues. The approach consisted of voluntary, semistructured, interview-type conversations with patients and family members who engaged in virtual visitation multiple times while the patient was hospitalized. OPCE contacted site-based Patient Experience leads, also known as Culture Leaders, at 3 hospitals, asking them to identify potential participants. This convenience sample excluded instances where the patient passed away during and/or immediately following hospitalization.

The OPCE team phoned potential interview candidates to make a personalized connection, explain the purpose of the interviews, and schedule them, if interested. For consistency, the same Digital Customer Experience Researcher on the dPX team facilitated all sessions, which were 30-minute, semiscripted interviews conducted virtually via Microsoft Teams. The tone was intentionally conversational so that patients and family members would feel comfortable delving into themes that were most impactful during their experience. After some initial ice breakers, such as “What were some of your feelings about being a patient/having a loved one in the hospital during the early days of the COVID-19 pandemic?” we moved on to some more pragmatic, implementation questions and rating scales. These included questions such as “How did you first learn about the option for virtual visitation? Was it something you inquired about or did someone offer it to you? How was it explained to you?” Patients were also asked, on a scale of 1 (easy) to 5 (difficult), to rate their experience with the technology aspect when connecting with their loved ones. They also provided verbal consent to be recorded and were given a $15 gift card upon completion of the interview.

Transcriptions were generated by uploading the interview recordings to a platform called UserTesting. In addition to these transcriptions, this platform also allowed for a keyword mapping tool that organized high-level themes and adjectives into groupings along a sentiment axis from negative to neutral to positive. Transcripts were then read carefully and annotated by the Digital Customer Experience Researcher, which allowed for strengthening of some of the automated themes as well as the emergence of new, more nuanced themes. These themes were organized into those that we could address with design and/or procedure updates (actionable insights), those that came up most frequently overall (frequency), and those that came up across our 3 interview sessions (commonality).

This feedback, along with the responses to the new Press Ganey question, was presented to the system Voice of the Customer End User Device Workgroup. The results led to robust discussion and brainstorming regarding how to improve the process to be more patient-centered. Findings were also shared with our hospital-based Culture Leaders. As many of their local strategic plans focused on patient-family communication, this information was helpful to them in considering plans for expansion and/or sustaining virtual visitation efforts. The process map in the Figure outlines key milestones within this feedback loop.

Outcomes

During the height of the initial COVID-19 crisis, virtual visitation was a new and ever-evolving process. Amidst the chaos, mechanisms to capture the quantity and quality of virtual visits were not in place. Based on informal observation, a majority of patients utilized personal devices to connect with loved ones, and staff even offered their own cellular devices to facilitate timely patient-family communication. The technology primarily used included FaceTime, Zoom, and EZCall, as there was much public awareness and comfort with those platforms.

In the first quarter of 2021, our institution overall performed at a Top Box score of 60.2 for our ability to assist patients with staying connected to their family/caregiver during their inpatient visit. With more than 6700 returned surveys during that time period, our hospitals earned Top Box scores ranging between 48.0 and 75.3. At this time, obtaining a national benchmark ranking is not possible, because the question regarding connectedness is unique to Northwell inpatient settings. As other health care organizations adopt this customized question, further peer-to-peer measurements can be established.

Regarding virtual interviews, 25 patients were initially contacted to determine their interest in participating. Of that sample, 17 patients were engaged over the phone, representing a reach rate of 68%. Overall, 10 interviews were scheduled; 7 patients did not show up, resulting in 3 completed interviews. During follow-up, “no-show” participants either gave no response or stated they had a conflict at their originally scheduled time but were not interested in rescheduling due to personal circumstances. Through such conversations, ongoing health complications were found to be a reoccurring barrier to participation.

Each of the participating patients had experienced being placed on a ventilator. They described their hospitalization as a time of “confusion and despair” in the first days after extubation. After we reviewed interview recordings, a reoccurring theme across all interviews was the feeling of gratitude. Patients expressed deep and heartfelt appreciation for being given the opportunity to connect as a family. One patient described virtual visitation sessions as her “only tether to reality when nothing else made sense.”

Interestingly enough, none of the participants knew that virtual visitation was an option and/or thought to inquire about it before a hospital staff member offered to set up a session. Patients recounted how they were weak and physically unable to connect to the sessions without significant assistance. They reported examples of not having the physical strength to hold up the tablet or needing a staff member to facilitate the conversation because the patient could not speak loudly enough and/or they were having difficulty hearing over background medical equipment noises. Participants also described times when a nurse or social worker would stand and hold the tablet for 20 to 30 minutes at a time, further describing mixed feelings of gratitude, guilt for “taking up their time,” and a desire for more privacy to have those precious conversations.

Discussion

Our institution encountered various barriers when establishing, implementing, and sustaining virtual visitation. The acquisition and bulk purchasing of devices, so that each hospital unit and department had adequate par levels during a high-demand time frame, was an initial challenge. Ensuring appropriate safeguards, software programming, and access to WiFi required ingenuity from IT teams. Leaders sought to advocate for the importance of prioritizing virtual visitation alongside clinical interventions. For team members, education was needed to build awareness, learn how to navigate technology, and troubleshoot, in real-time, issues such as poor connectivity. However, despite these organizational struggles, the hospital’s frontline professionals fully recognized and understood the humanistic value of connecting ill patients with their loved ones. Harnessing their teamwork, empathy, and innovative spirits, they forged through such difficulties to create meaningful interactions.

Although virtual visitation occurred prior to the COVID-19 pandemic, particularly in subspecialty areas such as neonatal intensive care units,⁶ it was not commonplace in most adult inpatient care settings. However, now that virtual means to communication are widely accepted and preferred, our hospital anticipates these offerings will become a broad patient expectation and, therefore, part of standard hospital care and operations. Health care leaders and interdisciplinary teams must therefore prioritize virtual visitation protocols, efforts, and future programming. It is no longer an exception to the rule, but rather a critical approach when ensuring quality communication between patients, families, and care teams.

We strive to continually improve by including user feedback as part of an interactive design process. For a broader, more permanent installation of virtual visitation, health care organizations must proactively promote this capability as a valued option. Considering health literacy and comfort with technology, functionality, and logistics must be carefully explained to patients and their families. This may require additional staff training so that they are knowledgeable, comfortable with, and able to troubleshoot questions/concerns in real time. There needs to be an adequate number of mobile devices available at a unit or departmental level to meet short-term and long-term demands. Additionally, now that we have emerged from our initial crisis-based mentality, it is time to consider alternatives to alleviate the need for staff assistance, such as mounts to hold devices and enabling voice controls.

Conclusion

As an organization grounded in the spirit of innovation, Northwell has been able to quickly pivot, adopting virtual visitation to address emerging and complex communication needs. Taking a best practice established during a crisis period and engraining it into sustainable organizational culture and operations requires visionary leadership, strong teamwork, and an unbridled commitment to patient and family centeredness. Despite unprecedented challenges, our commitment to listening to the “voice” of patients and families never wavered. Using their insights and feedback as critical components to the decision-making process, there is much work ahead within the realm of virtual visitation.

Acknowledgements: The authors would like to acknowledge the Northwell Health providers, frontline health care professionals, and team members who worked tirelessly to care for its community during initial COVID-19 waves and every day thereafter. Heartfelt gratitude to Northwell’s senior leaders for the visionary leadership; the OCIO and hospital-based IT teams for their swift collaboration; and dedicated Culture Leaders, Patient Experience team members, and redeployed staff for their unbridled passion for caring for patients and families. Special thanks to Agnes Barden, DNP, RN, CPXP, Joseph Narvaez, MBA, and Natalie Bashkin, MBA, from the system Office of Patient & Customer Experience, and Carolyne Burgess, MPH, from the Digital Patient Experience teams, for their participation, leadership, and syngeristic partnerships.

Corresponding Author: Nicole Giammarinaro, MSN, RN, CPXP, Director, Patient & Customer Experience, Northwell Health, 2000 Marcus Ave, Lake Success, NY 11042; [email protected].

Financial disclosures: Sven Gierlinger serves on the Speakers Bureau for Northwell Health and as an Executive Board Member for The Beryl Institute.

From Northwell Health, Lake Success, NY.

Objective: Northwell Health, New York’s largest health care organization, rapidly adopted technology solutions to support patient and family communication during the COVID-19 pandemic.

Methods: This case series outlines the pragmatic, interdisciplinary approach Northwell underwent to rapidly implement patient virtual visitation processes during the peak of the initial crisis.

Results: Implementation of large-scale virtual visitation required leadership, technology, and dedicated, empathetic frontline professionals. Patient and family feedback uncovered varied feelings and perspectives, from confusion to gratitude.

Conclusion: Subsequent efforts to obtain direct patient and family perspectives and insights helped Northwell identify areas of strength and ongoing performance improvement.

Keywords: virtual visitation; COVID-19; technology; communication; patient experience.

The power of human connection has become increasingly apparent throughout the COVID-19 pandemic and subsequent recovery phases. Due to the need for social distancing, people worldwide have turned to virtual means of communication, staying in touch with family, friends, and colleagues via digital technology platforms. On March 18, 2020, the New York State Department of Health (NYSDOH) issued a health advisory, suspending all hospital visitation.¹ As a result, hospitals rapidly transformed existing in-person visitation practices to meet large-scale virtual programming needs.

Family members often take on various roles—such as advocate, emotional support person, and postdischarge caregiver—for an ill or injured loved one.² The Institute for Patient- and Family-Centered Care, a nonprofit organization founded in 1992, has been leading a cultural transformation where families are valued as care partners, as opposed to “visitors.”³ Although widely adopted and well-received in specialized units, such as neonatal intensive care units,⁴ virtual visitation had not been widely implemented across adult care settings. The NYSDOH guidance therefore required organizational leadership, innovation, flexibility, and systems ingenuity to meet the evolving needs of patients, families, and health care professionals. An overarching goal was ensuring patients and families were afforded opportunities to stay connected throughout hospitalization.

Reflecting the impact of COVID-19 surges, hospital environments became increasingly depersonalized, with health care providers wearing extensive personal protective equipment (PPE) and taking remarkable measures to socially distance and minimize exposure. Patients’ room doors were kept primarily closed, while codes and alerts blared in the halls overhead. The lack of families and visitors became increasingly obvious, aiding feelings of isolation and confinement. With fear of nosocomial transmission, impactful modalities (such as sitting at the bedside) and empathetic, therapeutic touch were no longer taking place.

With those scenarios—common to so many health care systems during the pandemic—as a backdrop, comes our experience. Northwell Health is the largest health care system in New York State, geographically spread throughout New York City’s 5 boroughs, Westchester County, and Long Island. With 23 hospitals, approximately 820 medical practices, and over 72 000 employees, Northwell has cared for more than 100 000 COVID-positive patients to date. This case series outlines a pragmatic approach to implementing virtual visitation during the initial peak and obtaining patient and family perspectives to help inform performance improvement and future programming.

Methods

Implementing virtual visitation

Through swift and focused multidisciplinary collaboration, numerous Northwell teams came together to implement large-scale virtual visitation across the organization during the first wave of the COVID crisis. The initial priority involved securing devices that could support patient-family communication. Prior to COVID, each facility had only a handful of tablets that were used primarily during leadership rounding, so once visitation was restricted, we needed a large quantity of devices within a matter of days. Through diligent work from System Procurement and internal Foundation, Northwell was able to acquire nearly 900 devices, including iPads, PadInMotion tablets, and Samsung tablets.

Typically, the benefits of using wireless tablets within a health care setting include long battery life, powerful data processing, advanced operating systems, large screens, and easy end-user navigation.⁴ During COVID-19 and its associated isolation precautions, tablets offered a lifeline for effective and socially distant communication. With new devices in hand, the system Office of the Chief Information Officer (OCIO) and site-based Information Technology (IT) teams were engaged. They worked tirelessly to streamline connectivity, download necessary apps, test devices on approved WiFi networks, and troubleshoot issues. Once set up, devices were strategically deployed across all Northwell hospitals and post-acute rehabilitation facilities.

Frontline teams quickly realized that a model similar to mobile proning teams, who focus solely on turning and positioning COVID patients to promote optimal respiratory ventilation,⁵ was needed to support virtual visitation. During the initial COVID wave, elective surgeries were not permissible, as per the NYSDOH. As a result, large numbers of clinical and nonclinical ambulatory surgery employees were redeployed throughout the organization, with many assigned and dedicated to facilitating newly created virtual visitation processes. These employees were primarily responsible for creating unit-based schedules, coordinating logistics, navigating devices on behalf of patients, being present during video calls, and sanitizing the devices between uses. Finally, if necessary, virtual interpretation services were used to overcome language barriers between staff and patients.

What began as an ad hoc function quickly became a valued and meaningful role. Utilizing triage mentality, virtual visitation was first offered during unit-based rounding protocols to those patients with the highest acuity and need to connect with family. We had no formal script; instead, unit-based leaders and frontline team members had open dialogues with patients and families to gauge their interest in virtual visitation. That included patients with an active end-of-life care plan, critically ill patients within intensive care units, and those soon to be intubated or recently extubated. Utilization also occurred within specialty areas such as labor and delivery, pediatrics, inpatient psychiatry, medical units, and long-term rehab facilities. Frontline teams appreciated the supplementary support so they could prioritize ongoing physical assessments and medical interventions. Donned in PPE, virtual visitation team members often served as physical extensions of the patient’s loved ones—holding their hand, offering prayers, and, at times, bearing witness to a last breath. In reflecting on that time, this role required absolute professionalism, empathy, and compassion.

In summer 2020, although demand for virtual visitation was still at an all-time high when ambulatory surgery was reinstated, redeployed staff returned to their responsibilities. To fill this void without interruption to patients and their families, site leaders quickly pivoted and refined processes and protocols utilizing Patient & Customer Experience and Hospitality department team members. Throughout spring 2021, the NYSDOH offered guidance to open in-person visitation, and the institution’s Clinical Advisory Group has been taking a pragmatic approach to doing that in a measured and safe manner across care settings.

Listening to the ‘voice’ of patients and families

Our institution’s mission is grounded in providing “quality service and patient-centered care.” Honoring those tenets, during the initial COVID wave, the system “Voice of the Customer End User Device Workgroup” was created with system and site-based interdisciplinary representation. Despite challenging and unprecedented times, conscious attention and effort was undertaken to assess the use and impact of virtual devices. One of the major work streams was to capture and examine patient and family thoughts, feedback, and the overall experience as it relates to virtual visitation.

The system Office of Patient & Customer Experience (OPCE), led by Sven Gierlinger, SVP Chief Experience Officer, reached out to our colleagues at Press Ganey to add a custom question to patient experience surveys. Beginning on December 1, 2020, discharged inpatients were asked to rate the “Degree to which you were able to stay connected with your family/caregiver during your stay.” Potential answers include the Likert scale responses of Always, Usually, Sometimes, and Never, with “Always” representing the Top Box score. The OPCE team believes these quantitative insights are important to track and trend, particularly since in-person and virtual visitation remain in constant flux.

In an effort to obtain additional, focused, qualitative feedback, OPCE partnered with our institution’s Digital Patient Experience (dPX) colleagues. The approach consisted of voluntary, semistructured, interview-type conversations with patients and family members who engaged in virtual visitation multiple times while the patient was hospitalized. OPCE contacted site-based Patient Experience leads, also known as Culture Leaders, at 3 hospitals, asking them to identify potential participants. This convenience sample excluded instances where the patient passed away during and/or immediately following hospitalization.

The OPCE team phoned potential interview candidates to make a personalized connection, explain the purpose of the interviews, and schedule them, if interested. For consistency, the same Digital Customer Experience Researcher on the dPX team facilitated all sessions, which were 30-minute, semiscripted interviews conducted virtually via Microsoft Teams. The tone was intentionally conversational so that patients and family members would feel comfortable delving into themes that were most impactful during their experience. After some initial ice breakers, such as “What were some of your feelings about being a patient/having a loved one in the hospital during the early days of the COVID-19 pandemic?” we moved on to some more pragmatic, implementation questions and rating scales. These included questions such as “How did you first learn about the option for virtual visitation? Was it something you inquired about or did someone offer it to you? How was it explained to you?” Patients were also asked, on a scale of 1 (easy) to 5 (difficult), to rate their experience with the technology aspect when connecting with their loved ones. They also provided verbal consent to be recorded and were given a $15 gift card upon completion of the interview.

Transcriptions were generated by uploading the interview recordings to a platform called UserTesting. In addition to these transcriptions, this platform also allowed for a keyword mapping tool that organized high-level themes and adjectives into groupings along a sentiment axis from negative to neutral to positive. Transcripts were then read carefully and annotated by the Digital Customer Experience Researcher, which allowed for strengthening of some of the automated themes as well as the emergence of new, more nuanced themes. These themes were organized into those that we could address with design and/or procedure updates (actionable insights), those that came up most frequently overall (frequency), and those that came up across our 3 interview sessions (commonality).

This feedback, along with the responses to the new Press Ganey question, was presented to the system Voice of the Customer End User Device Workgroup. The results led to robust discussion and brainstorming regarding how to improve the process to be more patient-centered. Findings were also shared with our hospital-based Culture Leaders. As many of their local strategic plans focused on patient-family communication, this information was helpful to them in considering plans for expansion and/or sustaining virtual visitation efforts. The process map in the Figure outlines key milestones within this feedback loop.

Outcomes

During the height of the initial COVID-19 crisis, virtual visitation was a new and ever-evolving process. Amidst the chaos, mechanisms to capture the quantity and quality of virtual visits were not in place. Based on informal observation, a majority of patients utilized personal devices to connect with loved ones, and staff even offered their own cellular devices to facilitate timely patient-family communication. The technology primarily used included FaceTime, Zoom, and EZCall, as there was much public awareness and comfort with those platforms.

In the first quarter of 2021, our institution overall performed at a Top Box score of 60.2 for our ability to assist patients with staying connected to their family/caregiver during their inpatient visit. With more than 6700 returned surveys during that time period, our hospitals earned Top Box scores ranging between 48.0 and 75.3. At this time, obtaining a national benchmark ranking is not possible, because the question regarding connectedness is unique to Northwell inpatient settings. As other health care organizations adopt this customized question, further peer-to-peer measurements can be established.

Regarding virtual interviews, 25 patients were initially contacted to determine their interest in participating. Of that sample, 17 patients were engaged over the phone, representing a reach rate of 68%. Overall, 10 interviews were scheduled; 7 patients did not show up, resulting in 3 completed interviews. During follow-up, “no-show” participants either gave no response or stated they had a conflict at their originally scheduled time but were not interested in rescheduling due to personal circumstances. Through such conversations, ongoing health complications were found to be a reoccurring barrier to participation.

Each of the participating patients had experienced being placed on a ventilator. They described their hospitalization as a time of “confusion and despair” in the first days after extubation. After we reviewed interview recordings, a reoccurring theme across all interviews was the feeling of gratitude. Patients expressed deep and heartfelt appreciation for being given the opportunity to connect as a family. One patient described virtual visitation sessions as her “only tether to reality when nothing else made sense.”

Interestingly enough, none of the participants knew that virtual visitation was an option and/or thought to inquire about it before a hospital staff member offered to set up a session. Patients recounted how they were weak and physically unable to connect to the sessions without significant assistance. They reported examples of not having the physical strength to hold up the tablet or needing a staff member to facilitate the conversation because the patient could not speak loudly enough and/or they were having difficulty hearing over background medical equipment noises. Participants also described times when a nurse or social worker would stand and hold the tablet for 20 to 30 minutes at a time, further describing mixed feelings of gratitude, guilt for “taking up their time,” and a desire for more privacy to have those precious conversations.

Discussion

Our institution encountered various barriers when establishing, implementing, and sustaining virtual visitation. The acquisition and bulk purchasing of devices, so that each hospital unit and department had adequate par levels during a high-demand time frame, was an initial challenge. Ensuring appropriate safeguards, software programming, and access to WiFi required ingenuity from IT teams. Leaders sought to advocate for the importance of prioritizing virtual visitation alongside clinical interventions. For team members, education was needed to build awareness, learn how to navigate technology, and troubleshoot, in real-time, issues such as poor connectivity. However, despite these organizational struggles, the hospital’s frontline professionals fully recognized and understood the humanistic value of connecting ill patients with their loved ones. Harnessing their teamwork, empathy, and innovative spirits, they forged through such difficulties to create meaningful interactions.

Although virtual visitation occurred prior to the COVID-19 pandemic, particularly in subspecialty areas such as neonatal intensive care units,⁶ it was not commonplace in most adult inpatient care settings. However, now that virtual means to communication are widely accepted and preferred, our hospital anticipates these offerings will become a broad patient expectation and, therefore, part of standard hospital care and operations. Health care leaders and interdisciplinary teams must therefore prioritize virtual visitation protocols, efforts, and future programming. It is no longer an exception to the rule, but rather a critical approach when ensuring quality communication between patients, families, and care teams.

We strive to continually improve by including user feedback as part of an interactive design process. For a broader, more permanent installation of virtual visitation, health care organizations must proactively promote this capability as a valued option. Considering health literacy and comfort with technology, functionality, and logistics must be carefully explained to patients and their families. This may require additional staff training so that they are knowledgeable, comfortable with, and able to troubleshoot questions/concerns in real time. There needs to be an adequate number of mobile devices available at a unit or departmental level to meet short-term and long-term demands. Additionally, now that we have emerged from our initial crisis-based mentality, it is time to consider alternatives to alleviate the need for staff assistance, such as mounts to hold devices and enabling voice controls.

Conclusion

As an organization grounded in the spirit of innovation, Northwell has been able to quickly pivot, adopting virtual visitation to address emerging and complex communication needs. Taking a best practice established during a crisis period and engraining it into sustainable organizational culture and operations requires visionary leadership, strong teamwork, and an unbridled commitment to patient and family centeredness. Despite unprecedented challenges, our commitment to listening to the “voice” of patients and families never wavered. Using their insights and feedback as critical components to the decision-making process, there is much work ahead within the realm of virtual visitation.

Acknowledgements: The authors would like to acknowledge the Northwell Health providers, frontline health care professionals, and team members who worked tirelessly to care for its community during initial COVID-19 waves and every day thereafter. Heartfelt gratitude to Northwell’s senior leaders for the visionary leadership; the OCIO and hospital-based IT teams for their swift collaboration; and dedicated Culture Leaders, Patient Experience team members, and redeployed staff for their unbridled passion for caring for patients and families. Special thanks to Agnes Barden, DNP, RN, CPXP, Joseph Narvaez, MBA, and Natalie Bashkin, MBA, from the system Office of Patient & Customer Experience, and Carolyne Burgess, MPH, from the Digital Patient Experience teams, for their participation, leadership, and syngeristic partnerships.

Corresponding Author: Nicole Giammarinaro, MSN, RN, CPXP, Director, Patient & Customer Experience, Northwell Health, 2000 Marcus Ave, Lake Success, NY 11042; [email protected].

Financial disclosures: Sven Gierlinger serves on the Speakers Bureau for Northwell Health and as an Executive Board Member for The Beryl Institute.

From Sheffield Teaching Hospitals, Sheffield, UK, S5 7AU.

Objective: Constipation is widely prevalent in older adults and may result in complications such as urinary retention, delirium, and bowel obstruction. Previous studies have indicated that while the nursing staff do well in completing stool charts, doctors monitor them infrequently. This project aimed to improve the documentation of bowel movement by doctors on ward rounds to 85%, by the end of a 3-month period.

Methods: Baseline, postintervention, and sustainability data were collected from inpatient notes on weekdays on a geriatric ward in Northern General Hospital, Sheffield, UK. Posters and stickers of the poo emoji were placed on walls and in inpatient notes, respectively, as a reminder.

Results: Data on bowel activity documentation were collected from 28 patients. The baseline data showed that bowel activity was monitored daily on the ward 60.49% of the time. However, following the interventions, there was a significant increase in documentation, to 86.78%. The sustainability study showed that bowel activity was documented on the ward 56.56% of the time.

Conclusion: This study shows how a strong initial effect on behavioral change can be accomplished through simple interventions such as stickers and posters. As most wards currently still use paper notes, this is a generalizable model that other wards can trial. However, this study also shows the difficulty in maintaining behavioral change over extended periods of time.

Keywords: bowel movement; documentation; obstruction; constipation; geriatrics; incontinence; junior doctor; quality improvement.

Constipation is widely prevalent in the elderly, encountered frequently in both community and hospital medicine.¹ Its estimated prevalence in adults over 84 years old is 34% for women and 25% for men, rising to up to 80% for long-term care residents.²

Chronic constipation is generally characterized by unsatisfactory defecation due to infrequent bowel emptying or difficulty with stool passage, which may lead to incomplete evacuation.^2-4 Constipation in the elderly, in addition to causing abdominal pain, nausea, and reduced appetite, may result in complications such as fecal incontinence (and overflow diarrhea), urinary retention, delirium, and bowel obstruction, which may in result in life-threatening perforation.^5,6 For inpatients on geriatric wards, these consequences may increase morbidity and mortality, while prolonging hospital stays, thereby also increasing exposure to hospital-acquired infections.⁷ Furthermore, constipation is also associated with impaired health-related quality of life.⁸

Management includes treating the cause, stopping contributing medications, early mobilization, diet modification, and, if all else fails, prescription laxatives. Therefore, early identification and appropriate treatment of constipation is beneficial in inpatient care, as well as when planning safe and patient-centered discharges.

Given the risks and complications of constipation in the elderly, we, a group of Foundation Year 2 (FY2) doctors in the UK Foundation Programme, decided to explore how doctors can help to recognize this condition early. Regular bowel movement documentation in patient notes on ward rounds is crucial, as it has been shown to reduce constipation-associated complications.⁵ However, complications from constipation can take significant amounts of time to develop and, therefore, documenting bowel movements on a daily basis is not necessary.

Based on these observations along with targets set out in previous studies,⁷ our aim was to improve documentation of bowel movement on ward rounds to 85% by March 2020.

Methods

Before the data collection process, a fishbone diagram was designed to identify the potential causes of poor documentation of bowel movement on geriatric wards. There were several aspects that were reviewed, including, for example, patients, health care professionals, organizational policies, procedures, and equipment. It was then decided to focus on raising awareness of the documentation of bowel movement by doctors specifically.

Retrospective data were collected from the inpatient paper notes of 28 patients on Brearley 6, a geriatric ward at the Northern General Hospital within Sheffield Teaching Hospitals (STH), on weekdays over a 3-week period. The baseline data collected included the bed number of the patient, whether or not bowel movement on initial ward round was documented, and whether it was the junior, registrar, or consultant leading the ward round. End-of-life and discharged patients were excluded (Table).

The interventions consisted of posters and stickers. Posters were displayed on Brearley 6, including the doctors’ office, nurses’ station, and around the bays where notes were kept, in order to emphasize their importance. The stickers of the poo emoji were also printed and placed at the front of each set of inpatient paper notes as a reminder for the doctor documenting on the ward round. The interventions were also introduced in the morning board meeting to ensure all staff on Brearley 6 were aware of them.

Data were collected on weekdays over a 3-week period starting 2 weeks after the interventions were put in place (Table). In order to assess that the intervention had been sustained, data were again collected 1 month later over a 2-week period (Table). Microsoft Excel (Microsoft Corporation, Redmond, Washington, USA) was used to analyze all data, and control charts were used to assess variability in the data.

Results

The baseline data showed that bowel movement was documented 60.49% of the time by doctors on the initial ward round before intervention, as illustrated in Figure 1. There was no evidence of an out-of-control process in this baseline data set.

The comparison between the preintervention and postintervention data is illustrated in Figure 1. The postintervention data, which were taken 2 weeks after intervention, showed a significant increase in the documentation of bowel movements, to 86.78%. The figure displays a number of features consistent with an out-of-control process: beyond limits (≥ 1 points beyond control limits), Zone A rule (2 out of 3 consecutive points beyond 2 standard deviations from the mean), Zone B rule (4 out of 5 consecutive points beyond 1 standard deviation from the mean), and Zone C rule (≥ 8 consecutive points on 1 side of the mean). These findings demonstrate a special cause variation in the documentation of bowel movements.

Figure 2 shows the sustainability of the intervention, which averaged 56.56% postintervention nearly 2 months later. The data returned to preintervention variability levels.

Discussion

Our project explored an important issue that was frequently encountered by department clinicians. Our team of FY2 doctors, in general, had little experience with quality improvement. We have developed our understanding and experience through planning, making, and measuring improvement.

It was challenging deciding on how to deal with the problem. A number of ways were considered to improve the paper rounding chart, but the nursing team had already planned to make changes to it. Bowel activity is mainly documented by nursing staff, but there was no specific protocol for recognizing constipation and when to inform the medical team. We decided to focus on doctors’ documentation in patient notes during the ward round, as this is where the decision regarding management of bowels is made, including interventions that could only be done by doctors, such as prescribing laxatives.

Strom et al⁹ have described a number of successful quality improvement interventions, and we decided to follow the authors’ guidance to implement a reminder system strategy using both posters and stickers to prompt doctors to document bowel activity. Both of these were simple, and the text on the poster was concise. The only cost incurred on the project was from printing the stickers; this totalled £2.99 (US $4.13). Individual stickers for each ward round entry were considered but not used, as it would create an additional task for doctors.

The data initially indicated that the interventions had their desired effect. However, this positive change was unsustainable, most likely suggesting that the novelty of the stickers and posters wore off at some point, leading to junior doctors no longer noticing them. Further Plan-Do-Study-Act cycles should examine the reasons why the change is difficult to sustain and implement new policies that aim to overcome them.

There were a number of limitations to this study. A patient could be discharged before data collection, which was done twice weekly. This could have resulted in missed data during the collection period. In addition, the accuracy of the documentation is dependent on nursing staff correctly recording—as well as the doctors correctly viewing—all sources of information on bowel activity. Observer bias is possible, too, as a steering group member was involved in data collection. Their awareness of the project could cause a positive skew in the data. And, unfortunately, the project came to an abrupt end because of COVID-19 cases on the ward.

We examined the daily documentation of bowel activity, which may not be necessary considering that internationally recognized constipation classifications, such as the Rome III criteria, define constipation as fewer than 3 bowel movements per week.¹⁰ However, the data collection sheet did not include patient identifiers, so it was impossible to determine whether bowel activity had been documented 3 or more times per week for each patient. This is important because a clinician may only decide to act if there is no bowel movement activity for 3 or more days.

Because our data were collected on a single geriatric ward, which had an emphasis on Parkinson’s disease, it is unclear whether our findings are generalizable to other clinical areas in STH. However, constipation is common in the elderly, so it is likely to be relevant to other wards, as more than a third of STH hospital beds are occupied by patients aged 75 years and older.¹¹

Conclusion

Overall, our study highlights the fact that monitoring bowel activity is important on a geriatric ward. Recognizing constipation early prevents complications and delays to discharge. As mentioned earlier, our aim was achieved initially but not sustained. Therefore, future development should focus on sustainability. For example, laxative-focused ward rounds have shown to be effective at recognizing and preventing constipation by intervening early.¹² Future cycles that we considered included using an electronic reminder on the hospital IT system, as the trust is aiming to introduce electronic documentation. Focus could also be placed on improving documentation in bowel charts by ward staff. This could be achieved by organizing regular educational sessions on the complications of constipation and when to inform the medical team regarding concerns.

Acknowledgments: The authors thank Dr. Jamie Kapur, Sheffield Teaching Hospitals, for his guidance and supervision, as well as our collaborators: Rachel Hallam, Claire Walker, Monisha Chakravorty, and Hamza Khan.

Corresponding author: Alexander P. Noar, BMBCh, BA, 10 Stanhope Gardens, London, N6 5TS; [email protected].

Financial disclosures: None.

From Sheffield Teaching Hospitals, Sheffield, UK, S5 7AU.

Objective: Constipation is widely prevalent in older adults and may result in complications such as urinary retention, delirium, and bowel obstruction. Previous studies have indicated that while the nursing staff do well in completing stool charts, doctors monitor them infrequently. This project aimed to improve the documentation of bowel movement by doctors on ward rounds to 85%, by the end of a 3-month period.

Methods: Baseline, postintervention, and sustainability data were collected from inpatient notes on weekdays on a geriatric ward in Northern General Hospital, Sheffield, UK. Posters and stickers of the poo emoji were placed on walls and in inpatient notes, respectively, as a reminder.

Results: Data on bowel activity documentation were collected from 28 patients. The baseline data showed that bowel activity was monitored daily on the ward 60.49% of the time. However, following the interventions, there was a significant increase in documentation, to 86.78%. The sustainability study showed that bowel activity was documented on the ward 56.56% of the time.

Conclusion: This study shows how a strong initial effect on behavioral change can be accomplished through simple interventions such as stickers and posters. As most wards currently still use paper notes, this is a generalizable model that other wards can trial. However, this study also shows the difficulty in maintaining behavioral change over extended periods of time.

Keywords: bowel movement; documentation; obstruction; constipation; geriatrics; incontinence; junior doctor; quality improvement.

Constipation is widely prevalent in the elderly, encountered frequently in both community and hospital medicine.¹ Its estimated prevalence in adults over 84 years old is 34% for women and 25% for men, rising to up to 80% for long-term care residents.²

Chronic constipation is generally characterized by unsatisfactory defecation due to infrequent bowel emptying or difficulty with stool passage, which may lead to incomplete evacuation.^2-4 Constipation in the elderly, in addition to causing abdominal pain, nausea, and reduced appetite, may result in complications such as fecal incontinence (and overflow diarrhea), urinary retention, delirium, and bowel obstruction, which may in result in life-threatening perforation.^5,6 For inpatients on geriatric wards, these consequences may increase morbidity and mortality, while prolonging hospital stays, thereby also increasing exposure to hospital-acquired infections.⁷ Furthermore, constipation is also associated with impaired health-related quality of life.⁸

Management includes treating the cause, stopping contributing medications, early mobilization, diet modification, and, if all else fails, prescription laxatives. Therefore, early identification and appropriate treatment of constipation is beneficial in inpatient care, as well as when planning safe and patient-centered discharges.

Given the risks and complications of constipation in the elderly, we, a group of Foundation Year 2 (FY2) doctors in the UK Foundation Programme, decided to explore how doctors can help to recognize this condition early. Regular bowel movement documentation in patient notes on ward rounds is crucial, as it has been shown to reduce constipation-associated complications.⁵ However, complications from constipation can take significant amounts of time to develop and, therefore, documenting bowel movements on a daily basis is not necessary.

Based on these observations along with targets set out in previous studies,⁷ our aim was to improve documentation of bowel movement on ward rounds to 85% by March 2020.

Methods

Before the data collection process, a fishbone diagram was designed to identify the potential causes of poor documentation of bowel movement on geriatric wards. There were several aspects that were reviewed, including, for example, patients, health care professionals, organizational policies, procedures, and equipment. It was then decided to focus on raising awareness of the documentation of bowel movement by doctors specifically.

Retrospective data were collected from the inpatient paper notes of 28 patients on Brearley 6, a geriatric ward at the Northern General Hospital within Sheffield Teaching Hospitals (STH), on weekdays over a 3-week period. The baseline data collected included the bed number of the patient, whether or not bowel movement on initial ward round was documented, and whether it was the junior, registrar, or consultant leading the ward round. End-of-life and discharged patients were excluded (Table).

The interventions consisted of posters and stickers. Posters were displayed on Brearley 6, including the doctors’ office, nurses’ station, and around the bays where notes were kept, in order to emphasize their importance. The stickers of the poo emoji were also printed and placed at the front of each set of inpatient paper notes as a reminder for the doctor documenting on the ward round. The interventions were also introduced in the morning board meeting to ensure all staff on Brearley 6 were aware of them.

Data were collected on weekdays over a 3-week period starting 2 weeks after the interventions were put in place (Table). In order to assess that the intervention had been sustained, data were again collected 1 month later over a 2-week period (Table). Microsoft Excel (Microsoft Corporation, Redmond, Washington, USA) was used to analyze all data, and control charts were used to assess variability in the data.

Results

The baseline data showed that bowel movement was documented 60.49% of the time by doctors on the initial ward round before intervention, as illustrated in Figure 1. There was no evidence of an out-of-control process in this baseline data set.

The comparison between the preintervention and postintervention data is illustrated in Figure 1. The postintervention data, which were taken 2 weeks after intervention, showed a significant increase in the documentation of bowel movements, to 86.78%. The figure displays a number of features consistent with an out-of-control process: beyond limits (≥ 1 points beyond control limits), Zone A rule (2 out of 3 consecutive points beyond 2 standard deviations from the mean), Zone B rule (4 out of 5 consecutive points beyond 1 standard deviation from the mean), and Zone C rule (≥ 8 consecutive points on 1 side of the mean). These findings demonstrate a special cause variation in the documentation of bowel movements.

Figure 2 shows the sustainability of the intervention, which averaged 56.56% postintervention nearly 2 months later. The data returned to preintervention variability levels.

Discussion

Our project explored an important issue that was frequently encountered by department clinicians. Our team of FY2 doctors, in general, had little experience with quality improvement. We have developed our understanding and experience through planning, making, and measuring improvement.

It was challenging deciding on how to deal with the problem. A number of ways were considered to improve the paper rounding chart, but the nursing team had already planned to make changes to it. Bowel activity is mainly documented by nursing staff, but there was no specific protocol for recognizing constipation and when to inform the medical team. We decided to focus on doctors’ documentation in patient notes during the ward round, as this is where the decision regarding management of bowels is made, including interventions that could only be done by doctors, such as prescribing laxatives.

Strom et al⁹ have described a number of successful quality improvement interventions, and we decided to follow the authors’ guidance to implement a reminder system strategy using both posters and stickers to prompt doctors to document bowel activity. Both of these were simple, and the text on the poster was concise. The only cost incurred on the project was from printing the stickers; this totalled £2.99 (US $4.13). Individual stickers for each ward round entry were considered but not used, as it would create an additional task for doctors.

The data initially indicated that the interventions had their desired effect. However, this positive change was unsustainable, most likely suggesting that the novelty of the stickers and posters wore off at some point, leading to junior doctors no longer noticing them. Further Plan-Do-Study-Act cycles should examine the reasons why the change is difficult to sustain and implement new policies that aim to overcome them.

There were a number of limitations to this study. A patient could be discharged before data collection, which was done twice weekly. This could have resulted in missed data during the collection period. In addition, the accuracy of the documentation is dependent on nursing staff correctly recording—as well as the doctors correctly viewing—all sources of information on bowel activity. Observer bias is possible, too, as a steering group member was involved in data collection. Their awareness of the project could cause a positive skew in the data. And, unfortunately, the project came to an abrupt end because of COVID-19 cases on the ward.

We examined the daily documentation of bowel activity, which may not be necessary considering that internationally recognized constipation classifications, such as the Rome III criteria, define constipation as fewer than 3 bowel movements per week.¹⁰ However, the data collection sheet did not include patient identifiers, so it was impossible to determine whether bowel activity had been documented 3 or more times per week for each patient. This is important because a clinician may only decide to act if there is no bowel movement activity for 3 or more days.

Because our data were collected on a single geriatric ward, which had an emphasis on Parkinson’s disease, it is unclear whether our findings are generalizable to other clinical areas in STH. However, constipation is common in the elderly, so it is likely to be relevant to other wards, as more than a third of STH hospital beds are occupied by patients aged 75 years and older.¹¹

Conclusion

Overall, our study highlights the fact that monitoring bowel activity is important on a geriatric ward. Recognizing constipation early prevents complications and delays to discharge. As mentioned earlier, our aim was achieved initially but not sustained. Therefore, future development should focus on sustainability. For example, laxative-focused ward rounds have shown to be effective at recognizing and preventing constipation by intervening early.¹² Future cycles that we considered included using an electronic reminder on the hospital IT system, as the trust is aiming to introduce electronic documentation. Focus could also be placed on improving documentation in bowel charts by ward staff. This could be achieved by organizing regular educational sessions on the complications of constipation and when to inform the medical team regarding concerns.

Acknowledgments: The authors thank Dr. Jamie Kapur, Sheffield Teaching Hospitals, for his guidance and supervision, as well as our collaborators: Rachel Hallam, Claire Walker, Monisha Chakravorty, and Hamza Khan.

Corresponding author: Alexander P. Noar, BMBCh, BA, 10 Stanhope Gardens, London, N6 5TS; [email protected].

Financial disclosures: None.

From Sheffield Teaching Hospitals, Sheffield, UK, S5 7AU.

Objective: Constipation is widely prevalent in older adults and may result in complications such as urinary retention, delirium, and bowel obstruction. Previous studies have indicated that while the nursing staff do well in completing stool charts, doctors monitor them infrequently. This project aimed to improve the documentation of bowel movement by doctors on ward rounds to 85%, by the end of a 3-month period.

Methods: Baseline, postintervention, and sustainability data were collected from inpatient notes on weekdays on a geriatric ward in Northern General Hospital, Sheffield, UK. Posters and stickers of the poo emoji were placed on walls and in inpatient notes, respectively, as a reminder.

Results: Data on bowel activity documentation were collected from 28 patients. The baseline data showed that bowel activity was monitored daily on the ward 60.49% of the time. However, following the interventions, there was a significant increase in documentation, to 86.78%. The sustainability study showed that bowel activity was documented on the ward 56.56% of the time.

Conclusion: This study shows how a strong initial effect on behavioral change can be accomplished through simple interventions such as stickers and posters. As most wards currently still use paper notes, this is a generalizable model that other wards can trial. However, this study also shows the difficulty in maintaining behavioral change over extended periods of time.

Keywords: bowel movement; documentation; obstruction; constipation; geriatrics; incontinence; junior doctor; quality improvement.

Constipation is widely prevalent in the elderly, encountered frequently in both community and hospital medicine.¹ Its estimated prevalence in adults over 84 years old is 34% for women and 25% for men, rising to up to 80% for long-term care residents.²

Chronic constipation is generally characterized by unsatisfactory defecation due to infrequent bowel emptying or difficulty with stool passage, which may lead to incomplete evacuation.^2-4 Constipation in the elderly, in addition to causing abdominal pain, nausea, and reduced appetite, may result in complications such as fecal incontinence (and overflow diarrhea), urinary retention, delirium, and bowel obstruction, which may in result in life-threatening perforation.^5,6 For inpatients on geriatric wards, these consequences may increase morbidity and mortality, while prolonging hospital stays, thereby also increasing exposure to hospital-acquired infections.⁷ Furthermore, constipation is also associated with impaired health-related quality of life.⁸

Management includes treating the cause, stopping contributing medications, early mobilization, diet modification, and, if all else fails, prescription laxatives. Therefore, early identification and appropriate treatment of constipation is beneficial in inpatient care, as well as when planning safe and patient-centered discharges.

Given the risks and complications of constipation in the elderly, we, a group of Foundation Year 2 (FY2) doctors in the UK Foundation Programme, decided to explore how doctors can help to recognize this condition early. Regular bowel movement documentation in patient notes on ward rounds is crucial, as it has been shown to reduce constipation-associated complications.⁵ However, complications from constipation can take significant amounts of time to develop and, therefore, documenting bowel movements on a daily basis is not necessary.

Based on these observations along with targets set out in previous studies,⁷ our aim was to improve documentation of bowel movement on ward rounds to 85% by March 2020.

Methods

Before the data collection process, a fishbone diagram was designed to identify the potential causes of poor documentation of bowel movement on geriatric wards. There were several aspects that were reviewed, including, for example, patients, health care professionals, organizational policies, procedures, and equipment. It was then decided to focus on raising awareness of the documentation of bowel movement by doctors specifically.

Retrospective data were collected from the inpatient paper notes of 28 patients on Brearley 6, a geriatric ward at the Northern General Hospital within Sheffield Teaching Hospitals (STH), on weekdays over a 3-week period. The baseline data collected included the bed number of the patient, whether or not bowel movement on initial ward round was documented, and whether it was the junior, registrar, or consultant leading the ward round. End-of-life and discharged patients were excluded (Table).

The interventions consisted of posters and stickers. Posters were displayed on Brearley 6, including the doctors’ office, nurses’ station, and around the bays where notes were kept, in order to emphasize their importance. The stickers of the poo emoji were also printed and placed at the front of each set of inpatient paper notes as a reminder for the doctor documenting on the ward round. The interventions were also introduced in the morning board meeting to ensure all staff on Brearley 6 were aware of them.

Data were collected on weekdays over a 3-week period starting 2 weeks after the interventions were put in place (Table). In order to assess that the intervention had been sustained, data were again collected 1 month later over a 2-week period (Table). Microsoft Excel (Microsoft Corporation, Redmond, Washington, USA) was used to analyze all data, and control charts were used to assess variability in the data.

Results

The baseline data showed that bowel movement was documented 60.49% of the time by doctors on the initial ward round before intervention, as illustrated in Figure 1. There was no evidence of an out-of-control process in this baseline data set.

The comparison between the preintervention and postintervention data is illustrated in Figure 1. The postintervention data, which were taken 2 weeks after intervention, showed a significant increase in the documentation of bowel movements, to 86.78%. The figure displays a number of features consistent with an out-of-control process: beyond limits (≥ 1 points beyond control limits), Zone A rule (2 out of 3 consecutive points beyond 2 standard deviations from the mean), Zone B rule (4 out of 5 consecutive points beyond 1 standard deviation from the mean), and Zone C rule (≥ 8 consecutive points on 1 side of the mean). These findings demonstrate a special cause variation in the documentation of bowel movements.

Figure 2 shows the sustainability of the intervention, which averaged 56.56% postintervention nearly 2 months later. The data returned to preintervention variability levels.

Discussion

Our project explored an important issue that was frequently encountered by department clinicians. Our team of FY2 doctors, in general, had little experience with quality improvement. We have developed our understanding and experience through planning, making, and measuring improvement.

It was challenging deciding on how to deal with the problem. A number of ways were considered to improve the paper rounding chart, but the nursing team had already planned to make changes to it. Bowel activity is mainly documented by nursing staff, but there was no specific protocol for recognizing constipation and when to inform the medical team. We decided to focus on doctors’ documentation in patient notes during the ward round, as this is where the decision regarding management of bowels is made, including interventions that could only be done by doctors, such as prescribing laxatives.

Strom et al⁹ have described a number of successful quality improvement interventions, and we decided to follow the authors’ guidance to implement a reminder system strategy using both posters and stickers to prompt doctors to document bowel activity. Both of these were simple, and the text on the poster was concise. The only cost incurred on the project was from printing the stickers; this totalled £2.99 (US $4.13). Individual stickers for each ward round entry were considered but not used, as it would create an additional task for doctors.

The data initially indicated that the interventions had their desired effect. However, this positive change was unsustainable, most likely suggesting that the novelty of the stickers and posters wore off at some point, leading to junior doctors no longer noticing them. Further Plan-Do-Study-Act cycles should examine the reasons why the change is difficult to sustain and implement new policies that aim to overcome them.

There were a number of limitations to this study. A patient could be discharged before data collection, which was done twice weekly. This could have resulted in missed data during the collection period. In addition, the accuracy of the documentation is dependent on nursing staff correctly recording—as well as the doctors correctly viewing—all sources of information on bowel activity. Observer bias is possible, too, as a steering group member was involved in data collection. Their awareness of the project could cause a positive skew in the data. And, unfortunately, the project came to an abrupt end because of COVID-19 cases on the ward.

We examined the daily documentation of bowel activity, which may not be necessary considering that internationally recognized constipation classifications, such as the Rome III criteria, define constipation as fewer than 3 bowel movements per week.¹⁰ However, the data collection sheet did not include patient identifiers, so it was impossible to determine whether bowel activity had been documented 3 or more times per week for each patient. This is important because a clinician may only decide to act if there is no bowel movement activity for 3 or more days.

Because our data were collected on a single geriatric ward, which had an emphasis on Parkinson’s disease, it is unclear whether our findings are generalizable to other clinical areas in STH. However, constipation is common in the elderly, so it is likely to be relevant to other wards, as more than a third of STH hospital beds are occupied by patients aged 75 years and older.¹¹

Conclusion

Overall, our study highlights the fact that monitoring bowel activity is important on a geriatric ward. Recognizing constipation early prevents complications and delays to discharge. As mentioned earlier, our aim was achieved initially but not sustained. Therefore, future development should focus on sustainability. For example, laxative-focused ward rounds have shown to be effective at recognizing and preventing constipation by intervening early.¹² Future cycles that we considered included using an electronic reminder on the hospital IT system, as the trust is aiming to introduce electronic documentation. Focus could also be placed on improving documentation in bowel charts by ward staff. This could be achieved by organizing regular educational sessions on the complications of constipation and when to inform the medical team regarding concerns.

Acknowledgments: The authors thank Dr. Jamie Kapur, Sheffield Teaching Hospitals, for his guidance and supervision, as well as our collaborators: Rachel Hallam, Claire Walker, Monisha Chakravorty, and Hamza Khan.

Corresponding author: Alexander P. Noar, BMBCh, BA, 10 Stanhope Gardens, London, N6 5TS; [email protected].

Financial disclosures: None.

From Health Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates (Dr. Virji and Aisha Al Hamiz), Public Health, Abu Dhabi Public Health Center, Abu Dhabi, United Arab Emirates (Drs. Al Hajeri, Al Shehhi, Al Memari, and Ahlam Al Maskari), College of Medicine and Health Sciences, Khalifa University, Abu Dhabi, United Arab Emirates, Department of Medicine, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates (Dr. Alhajri), Public Health Research Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates, Oxford University Hospitals NHS Foundation Trust, Oxford, England, and the MRC Epidemiology Unit, University of Cambridge, Cambridge, England (Dr. Ali).

Objective: The pandemic has forced closures of primary schools, resulting in loss of learning time on a global scale. In addition to face coverings, social distancing, and hand hygiene, an efficient testing method is important to mitigate the spread of COVID-19 in schools. We evaluated the feasibility of a saliva-based SARS-CoV-2 polymerase chain reaction testing program among 18 primary schools in the Emirate of Abu Dhabi, United Arab Emirates. Qualitative results show that children 4 to 5 years old had difficulty producing an adequate saliva specimen compared to those 6 to 12 years old.

Methods: A short training video on saliva collection beforehand helps demystify the process for students and parents alike. Informed consent was challenging yet should be done beforehand by school health nurses or other medical professionals to reassure parents and maximize participation.

Results: Telephone interviews with school administrators resulted in an 83% response rate. Overall, 93% of school administrators had a positive experience with saliva testing and felt the program improved the safety of their schools. The ongoing use of saliva testing for SARS-CoV-2 was supported by 73% of respondents.

Conclusion: On-campus saliva testing is a feasible option for primary schools to screen for COVID-19 in their student population to help keep their campuses safe and open for learning.

Keywords: COVID-19; saliva testing; mitigation; primary school.

The COVID-19 pandemic is a leading cause of morbidity and mortality worldwide and continues to exhaust health care resources on a large scale.¹ Efficient testing is critical to identify cases early and to help mitigate the deleterious effects of the pandemic.² Saliva polymerase chain reaction (PCR) nucleic acid amplification testing (NAAT) is more comfortable than nasopharyngeal (NP) NAAT and has been validated as a test for SARS-CoV-2.¹ Although children are less susceptible to severe disease, primary schools are considered a vector for transmission and community spread.³ Efficient and scalable methods of routine testing are needed globally to help keep schools open. Saliva testing has proven a useful resource for this population.^4,5

Abu Dhabi is the largest Emirate in the United Arab Emirates (UAE), with an estimated population of 2.5 million.⁶ The first case of COVID-19 was discovered in the UAE on January 29, 2020.⁷ The UAE has been recognized worldwide for its robust pandemic response. Along with the coordinated and swift application of public health measures, the country has one of the highest COVID-19 testing rates per capita and one of the highest vaccination rates worldwide.^8,9 The Abu Dhabi Public Health Center (ADPHC) works alongside the Ministry of Education (MOE) to establish testing, quarantine, and general safety guidelines for primary schools. In December 2020, the ADPHC partnered with a local, accredited diagnostic laboratory to test the feasibility of a saliva-based screening program for COVID-19 directly on school campuses for 18 primary schools in the Emirate.

Saliva-based PCR testing for COVID-19 was approved for use in schools in the UAE on January 24, 2021.¹⁰ As part of a greater mitigation strategy to reduce both school-based transmission and, hence, community spread, the ADPHC focused its on-site testing program on children aged 4 to 12 years. The program required collaboration among medical professionals, school administrators and teachers, students, and parents. Our study evaluates the feasibility of implementing a saliva-based COVID-19 screening program directly on primary school campuses involving children as young as 4 years of age.

Methods

The ADPHC, in collaboration with G42 Biogenix Labs, conducted a saliva SARS-CoV-2 NAAT testing program in 18 primary schools in the Emirate. Schools were selected based on outbreak prevalence at the time and focused on “hot spot” areas. The school on-site saliva testing program included children aged 4 to 12 years old in a “bubble” attendance model during the school day. This model involved children being assigned to groups or “pods.” This allowed us to limit a potential outbreak to a single pod, as opposed to risk exposing the entire school, should a single student test positive. The well-established SalivaDirect protocol developed at Yale University was used for testing and included an RNA extraction-free, RT-qPCR method for SARS-CoV-2 detection.¹¹

We conducted a qualitative study involving telephone interviews of school administrators to evaluate their experience with the ADPHC testing program at their schools. In addition, we interviewed the G42 Biogenix Lab providers to understand the logistics that supported on-campus collection of saliva specimens for this age group. We also gathered the attitudes of school children before and after testing. This study was reviewed and approved by the Abu Dhabi Health Research and Technology Committee and the Institutional Review Board (IRB), New York University Abu Dhabi (NYUAD).

Sample and recruitment

The original sample collection of saliva specimens was performed by the ADPHC in collaboration with G42 Biogenix Lab providers on school campuses between December 6 and December 10, 2020. During this time, schools operated in a hybrid teaching model, where learning took place both online and in person. Infection control measures were deployed based on ADPHC standards and guidelines. Nurses utilized appropriate patient protective equipment, frequent hand hygiene, and social distancing during the collection process. Inclusion criteria included asymptomatic students aged 4 to 12 years attending in-person classes on campus. Students with respiratory symptoms who were asked to stay home or those not attending in-person classes were excluded.

Data with regard to school children’s attitudes before and after testing were compiled through an online survey sent randomly to participants postintervention. Data from school administrators were collected through video and telephone interviews between April 14 and April 29, 2021. We first interviewed G42 Biogenix Lab providers to obtain previously acquired qualitative and quantitative data, which were collected during the intervention itself. After obtaining this information, we designed a questionnaire and proceeded with a structured interview process for school officials.

We interviewed school principals and administrators to collect their overall experiences with the saliva testing program. Before starting each interview, we established the interviewees preferred language, either English or Arabic. We then introduced the meeting attendees and provided study details, aims, and objectives, and described collaborating entities. We obtained verbal informed consent from a script approved by the NYUAD IRB and then proceeded with the interview, which included 4 questions. The first 3 questions were answered on a 5-point Likert scale model that consisted of 5 answer options: 5 being completely agree, 4 agree, 3 somewhat agree, 2 somewhat disagree, and 1 completely disagree. The fourth question invited open-ended feedback and comments on the following statements:

1. I believe the COVID-19 saliva testing program improved the safety for my school campus.
2. Our community had an overall positive experience with the COVID saliva testing.
3. We would like to continue a saliva-based COVID testing program on our school campus.
4. Please provide any additional comments you feel important about the program.

During the interview, we transcribed the answers as the interviewee was answering. We then translated those in Arabic into English and collected the data in 1 Excel spreadsheet. School interviewees and school names were de-identified in the collection and storage process.

Results

A total of 2011 saliva samples were collected from 18 different primary school campuses. Samples were sent the same day to G42 Biogenix Labs in Abu Dhabi for COVID PCR testing. A team consisting of 5 doctors providing general oversight, along with 2 to 6 nurses per site, were able to manage the collection process for all 18 school campuses. Samples were collected between 8 am and 2 pm and required variation among sites depending on factors such as staff availability and class schedules. Additional scheduling challenges included compliance with public safety mandates involving the maintenance of defined “safety bubbles” that forbid certain personnel from moving between floors, and the avoidance of mixing students from different classes.

Sample stations were set up in either the school auditorium or gymnasium to ensure appropriate crowd control and ventilation. Teachers and other school staff, including public safety, were able to manage lines and the shuttling of students back and forth from classes to testing stations, which allowed medical staff to focus on sample collection.

Informed consent was obtained by prior electronic communication to parents from school staff, asking them to agree to allow their child to participate in the testing program. Informed consent was identified as a challenge: Getting parents to understand that saliva testing was more comfortable than NP testing, and that the results were only being used to help keep the school safe, took time. School staff are used to obtaining consent from parents for field trips, but this was clearly more challenging for them.

The saliva collection process per child took more time than expected. Children fasted for 45 minutes before saliva collection. We used an active drool technique, which required children to pool saliva in their mouth then express it into a collection tube. Adults can generally do this on command, but we found it took 10 to 12 minutes per child. Saliva production was cued by asking the children to think about food, and by showing them pictures and TV commercials depicting food. Children 4 to 5 years old had more difficulty with the process despite active cueing, while those 6 to 12 years old had an easier time with the process. We collected data on a cohort of 80 children regarding their attitudes pre (Figure 1) and post collection (Figure 2). Children felt happier, less nervous, and less scared after collection than before collection. This trend reassured us that future collections would be easier for students.

A total of 15 of 18 school principals completed the telephone interview, yielding a response rate of 83%. Overall, 93% of the school principals agreed or completely agreed that the COVID-19 saliva testing program improved school safety; 93% agreed or completely agreed that they had an overall positive experience with the program; and 73% supported the ongoing use of saliva testing in their schools (Table 1). Administrators’ open-ended comments on their experience were positive overall (Table 2).

Discussion

By March 2020, many kindergarten to grade 12 public and private schools suspended in-person classes due to the pandemic and turned to online learning platforms. The negative impact of school closures on academic achievement is projected to be significant.^7,12,13 Ensuring schools can stay open and run operations safely will require routine SARS-CoV-2 testing. Our study investigated the feasibility of routine saliva testing on children aged 4 to 12 years on their school campuses. The ADPHC school on-site saliva testing program involved bringing lab providers onto 18 primary school campuses and required cooperation among parents, students, school administrators, and health care professionals.

Children younger than 6 years had difficulty producing an adequate saliva specimen, whereas those 6 to 12 years did so with relative ease when cued by thoughts or pictures of food while waiting in line for collection. Schools considering on-site testing programs should consider the age range of 6 to 12 years as a viable age range for saliva screening. Children should fast for a minimum of 45 minutes prior to saliva collection and should be cued by thoughts of food, food pictures, or food commercials. Setting up a sampling station close to the cafeteria where students can smell meal preparation may also help.^14,15 Sampling before breakfast or lunch, when children are potentially at their hungriest, should also be considered.

The greatest challenge was obtaining informed consent from parents who were not yet familiar with the reliability of saliva testing as a tool for SARS-CoV-2 screening or with the saliva collection process as a whole. Informed consent was initially done electronically, lacking direct human interaction to answer parents’ questions. Parents who refused had a follow-up call from the school nurse to further explain the logistics and rationale for saliva screening. Having medical professionals directly answer parents’ questions was helpful. Parents were reassured that the process was painless, confidential, and only to be used for school safety purposes. Despite school administrators being experienced in obtaining consent from parents for field trips, obtaining informed consent for a medical testing procedure is more complicated, and parents aren’t accustomed to providing such consent in a school environment. Schools considering on-site testing should ensure that their school nurse or other health care providers are on the front line obtaining informed consent and allaying parents’ fears.

School staff were able to effectively provide crowd control for testing, and children felt at ease being in a familiar environment. Teachers and public safety officers are well-equipped at managing the shuttling of students to class, to lunch, to physical education, and, finally, to dismissal. They were equally equipped at handling the logistics of students to and from testing, including minimizing crowds and helping students feel at ease during the process. This effective collaboration allowed the lab personnel to focus on sample collection and storage, while school staff managed all other aspects of the children’s safety and care.

Conclusion

Overall, school administrators had a positive experience with the testing program, felt the program improved the safety of their schools, and supported the ongoing use of saliva testing for SARS-CoV-2 on their school campuses. Children aged 6 years and older were able to provide adequate saliva samples, and children felt happier and less nervous after the process, indicating repeatability. Our findings highlight the feasibility of an integrated on-site saliva testing model for primary school campuses. Further research is needed to determine the scalability of such a model and whether the added compliance and safety of on-site testing compensates for the potential loss of learning time that testing during school hours would require.

Corresponding author: Ayaz Virji, MD, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, United Arab Emirates; [email protected].

Financial disclosures: None.

From Health Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates (Dr. Virji and Aisha Al Hamiz), Public Health, Abu Dhabi Public Health Center, Abu Dhabi, United Arab Emirates (Drs. Al Hajeri, Al Shehhi, Al Memari, and Ahlam Al Maskari), College of Medicine and Health Sciences, Khalifa University, Abu Dhabi, United Arab Emirates, Department of Medicine, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates (Dr. Alhajri), Public Health Research Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates, Oxford University Hospitals NHS Foundation Trust, Oxford, England, and the MRC Epidemiology Unit, University of Cambridge, Cambridge, England (Dr. Ali).

Objective: The pandemic has forced closures of primary schools, resulting in loss of learning time on a global scale. In addition to face coverings, social distancing, and hand hygiene, an efficient testing method is important to mitigate the spread of COVID-19 in schools. We evaluated the feasibility of a saliva-based SARS-CoV-2 polymerase chain reaction testing program among 18 primary schools in the Emirate of Abu Dhabi, United Arab Emirates. Qualitative results show that children 4 to 5 years old had difficulty producing an adequate saliva specimen compared to those 6 to 12 years old.

Methods: A short training video on saliva collection beforehand helps demystify the process for students and parents alike. Informed consent was challenging yet should be done beforehand by school health nurses or other medical professionals to reassure parents and maximize participation.

Results: Telephone interviews with school administrators resulted in an 83% response rate. Overall, 93% of school administrators had a positive experience with saliva testing and felt the program improved the safety of their schools. The ongoing use of saliva testing for SARS-CoV-2 was supported by 73% of respondents.

Conclusion: On-campus saliva testing is a feasible option for primary schools to screen for COVID-19 in their student population to help keep their campuses safe and open for learning.

Keywords: COVID-19; saliva testing; mitigation; primary school.

The COVID-19 pandemic is a leading cause of morbidity and mortality worldwide and continues to exhaust health care resources on a large scale.¹ Efficient testing is critical to identify cases early and to help mitigate the deleterious effects of the pandemic.² Saliva polymerase chain reaction (PCR) nucleic acid amplification testing (NAAT) is more comfortable than nasopharyngeal (NP) NAAT and has been validated as a test for SARS-CoV-2.¹ Although children are less susceptible to severe disease, primary schools are considered a vector for transmission and community spread.³ Efficient and scalable methods of routine testing are needed globally to help keep schools open. Saliva testing has proven a useful resource for this population.^4,5

Abu Dhabi is the largest Emirate in the United Arab Emirates (UAE), with an estimated population of 2.5 million.⁶ The first case of COVID-19 was discovered in the UAE on January 29, 2020.⁷ The UAE has been recognized worldwide for its robust pandemic response. Along with the coordinated and swift application of public health measures, the country has one of the highest COVID-19 testing rates per capita and one of the highest vaccination rates worldwide.^8,9 The Abu Dhabi Public Health Center (ADPHC) works alongside the Ministry of Education (MOE) to establish testing, quarantine, and general safety guidelines for primary schools. In December 2020, the ADPHC partnered with a local, accredited diagnostic laboratory to test the feasibility of a saliva-based screening program for COVID-19 directly on school campuses for 18 primary schools in the Emirate.

Saliva-based PCR testing for COVID-19 was approved for use in schools in the UAE on January 24, 2021.¹⁰ As part of a greater mitigation strategy to reduce both school-based transmission and, hence, community spread, the ADPHC focused its on-site testing program on children aged 4 to 12 years. The program required collaboration among medical professionals, school administrators and teachers, students, and parents. Our study evaluates the feasibility of implementing a saliva-based COVID-19 screening program directly on primary school campuses involving children as young as 4 years of age.

Methods

The ADPHC, in collaboration with G42 Biogenix Labs, conducted a saliva SARS-CoV-2 NAAT testing program in 18 primary schools in the Emirate. Schools were selected based on outbreak prevalence at the time and focused on “hot spot” areas. The school on-site saliva testing program included children aged 4 to 12 years old in a “bubble” attendance model during the school day. This model involved children being assigned to groups or “pods.” This allowed us to limit a potential outbreak to a single pod, as opposed to risk exposing the entire school, should a single student test positive. The well-established SalivaDirect protocol developed at Yale University was used for testing and included an RNA extraction-free, RT-qPCR method for SARS-CoV-2 detection.¹¹

We conducted a qualitative study involving telephone interviews of school administrators to evaluate their experience with the ADPHC testing program at their schools. In addition, we interviewed the G42 Biogenix Lab providers to understand the logistics that supported on-campus collection of saliva specimens for this age group. We also gathered the attitudes of school children before and after testing. This study was reviewed and approved by the Abu Dhabi Health Research and Technology Committee and the Institutional Review Board (IRB), New York University Abu Dhabi (NYUAD).

Sample and recruitment

The original sample collection of saliva specimens was performed by the ADPHC in collaboration with G42 Biogenix Lab providers on school campuses between December 6 and December 10, 2020. During this time, schools operated in a hybrid teaching model, where learning took place both online and in person. Infection control measures were deployed based on ADPHC standards and guidelines. Nurses utilized appropriate patient protective equipment, frequent hand hygiene, and social distancing during the collection process. Inclusion criteria included asymptomatic students aged 4 to 12 years attending in-person classes on campus. Students with respiratory symptoms who were asked to stay home or those not attending in-person classes were excluded.

Data with regard to school children’s attitudes before and after testing were compiled through an online survey sent randomly to participants postintervention. Data from school administrators were collected through video and telephone interviews between April 14 and April 29, 2021. We first interviewed G42 Biogenix Lab providers to obtain previously acquired qualitative and quantitative data, which were collected during the intervention itself. After obtaining this information, we designed a questionnaire and proceeded with a structured interview process for school officials.

We interviewed school principals and administrators to collect their overall experiences with the saliva testing program. Before starting each interview, we established the interviewees preferred language, either English or Arabic. We then introduced the meeting attendees and provided study details, aims, and objectives, and described collaborating entities. We obtained verbal informed consent from a script approved by the NYUAD IRB and then proceeded with the interview, which included 4 questions. The first 3 questions were answered on a 5-point Likert scale model that consisted of 5 answer options: 5 being completely agree, 4 agree, 3 somewhat agree, 2 somewhat disagree, and 1 completely disagree. The fourth question invited open-ended feedback and comments on the following statements:

1. I believe the COVID-19 saliva testing program improved the safety for my school campus.
2. Our community had an overall positive experience with the COVID saliva testing.
3. We would like to continue a saliva-based COVID testing program on our school campus.
4. Please provide any additional comments you feel important about the program.

During the interview, we transcribed the answers as the interviewee was answering. We then translated those in Arabic into English and collected the data in 1 Excel spreadsheet. School interviewees and school names were de-identified in the collection and storage process.

Results

A total of 2011 saliva samples were collected from 18 different primary school campuses. Samples were sent the same day to G42 Biogenix Labs in Abu Dhabi for COVID PCR testing. A team consisting of 5 doctors providing general oversight, along with 2 to 6 nurses per site, were able to manage the collection process for all 18 school campuses. Samples were collected between 8 am and 2 pm and required variation among sites depending on factors such as staff availability and class schedules. Additional scheduling challenges included compliance with public safety mandates involving the maintenance of defined “safety bubbles” that forbid certain personnel from moving between floors, and the avoidance of mixing students from different classes.

Sample stations were set up in either the school auditorium or gymnasium to ensure appropriate crowd control and ventilation. Teachers and other school staff, including public safety, were able to manage lines and the shuttling of students back and forth from classes to testing stations, which allowed medical staff to focus on sample collection.

Informed consent was obtained by prior electronic communication to parents from school staff, asking them to agree to allow their child to participate in the testing program. Informed consent was identified as a challenge: Getting parents to understand that saliva testing was more comfortable than NP testing, and that the results were only being used to help keep the school safe, took time. School staff are used to obtaining consent from parents for field trips, but this was clearly more challenging for them.

The saliva collection process per child took more time than expected. Children fasted for 45 minutes before saliva collection. We used an active drool technique, which required children to pool saliva in their mouth then express it into a collection tube. Adults can generally do this on command, but we found it took 10 to 12 minutes per child. Saliva production was cued by asking the children to think about food, and by showing them pictures and TV commercials depicting food. Children 4 to 5 years old had more difficulty with the process despite active cueing, while those 6 to 12 years old had an easier time with the process. We collected data on a cohort of 80 children regarding their attitudes pre (Figure 1) and post collection (Figure 2). Children felt happier, less nervous, and less scared after collection than before collection. This trend reassured us that future collections would be easier for students.

A total of 15 of 18 school principals completed the telephone interview, yielding a response rate of 83%. Overall, 93% of the school principals agreed or completely agreed that the COVID-19 saliva testing program improved school safety; 93% agreed or completely agreed that they had an overall positive experience with the program; and 73% supported the ongoing use of saliva testing in their schools (Table 1). Administrators’ open-ended comments on their experience were positive overall (Table 2).

Discussion

By March 2020, many kindergarten to grade 12 public and private schools suspended in-person classes due to the pandemic and turned to online learning platforms. The negative impact of school closures on academic achievement is projected to be significant.^7,12,13 Ensuring schools can stay open and run operations safely will require routine SARS-CoV-2 testing. Our study investigated the feasibility of routine saliva testing on children aged 4 to 12 years on their school campuses. The ADPHC school on-site saliva testing program involved bringing lab providers onto 18 primary school campuses and required cooperation among parents, students, school administrators, and health care professionals.

Children younger than 6 years had difficulty producing an adequate saliva specimen, whereas those 6 to 12 years did so with relative ease when cued by thoughts or pictures of food while waiting in line for collection. Schools considering on-site testing programs should consider the age range of 6 to 12 years as a viable age range for saliva screening. Children should fast for a minimum of 45 minutes prior to saliva collection and should be cued by thoughts of food, food pictures, or food commercials. Setting up a sampling station close to the cafeteria where students can smell meal preparation may also help.^14,15 Sampling before breakfast or lunch, when children are potentially at their hungriest, should also be considered.

The greatest challenge was obtaining informed consent from parents who were not yet familiar with the reliability of saliva testing as a tool for SARS-CoV-2 screening or with the saliva collection process as a whole. Informed consent was initially done electronically, lacking direct human interaction to answer parents’ questions. Parents who refused had a follow-up call from the school nurse to further explain the logistics and rationale for saliva screening. Having medical professionals directly answer parents’ questions was helpful. Parents were reassured that the process was painless, confidential, and only to be used for school safety purposes. Despite school administrators being experienced in obtaining consent from parents for field trips, obtaining informed consent for a medical testing procedure is more complicated, and parents aren’t accustomed to providing such consent in a school environment. Schools considering on-site testing should ensure that their school nurse or other health care providers are on the front line obtaining informed consent and allaying parents’ fears.

School staff were able to effectively provide crowd control for testing, and children felt at ease being in a familiar environment. Teachers and public safety officers are well-equipped at managing the shuttling of students to class, to lunch, to physical education, and, finally, to dismissal. They were equally equipped at handling the logistics of students to and from testing, including minimizing crowds and helping students feel at ease during the process. This effective collaboration allowed the lab personnel to focus on sample collection and storage, while school staff managed all other aspects of the children’s safety and care.

Conclusion

Overall, school administrators had a positive experience with the testing program, felt the program improved the safety of their schools, and supported the ongoing use of saliva testing for SARS-CoV-2 on their school campuses. Children aged 6 years and older were able to provide adequate saliva samples, and children felt happier and less nervous after the process, indicating repeatability. Our findings highlight the feasibility of an integrated on-site saliva testing model for primary school campuses. Further research is needed to determine the scalability of such a model and whether the added compliance and safety of on-site testing compensates for the potential loss of learning time that testing during school hours would require.

Corresponding author: Ayaz Virji, MD, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, United Arab Emirates; [email protected].

Financial disclosures: None.

From Health Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates (Dr. Virji and Aisha Al Hamiz), Public Health, Abu Dhabi Public Health Center, Abu Dhabi, United Arab Emirates (Drs. Al Hajeri, Al Shehhi, Al Memari, and Ahlam Al Maskari), College of Medicine and Health Sciences, Khalifa University, Abu Dhabi, United Arab Emirates, Department of Medicine, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates (Dr. Alhajri), Public Health Research Center, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates, Oxford University Hospitals NHS Foundation Trust, Oxford, England, and the MRC Epidemiology Unit, University of Cambridge, Cambridge, England (Dr. Ali).

Objective: The pandemic has forced closures of primary schools, resulting in loss of learning time on a global scale. In addition to face coverings, social distancing, and hand hygiene, an efficient testing method is important to mitigate the spread of COVID-19 in schools. We evaluated the feasibility of a saliva-based SARS-CoV-2 polymerase chain reaction testing program among 18 primary schools in the Emirate of Abu Dhabi, United Arab Emirates. Qualitative results show that children 4 to 5 years old had difficulty producing an adequate saliva specimen compared to those 6 to 12 years old.

Methods: A short training video on saliva collection beforehand helps demystify the process for students and parents alike. Informed consent was challenging yet should be done beforehand by school health nurses or other medical professionals to reassure parents and maximize participation.

Results: Telephone interviews with school administrators resulted in an 83% response rate. Overall, 93% of school administrators had a positive experience with saliva testing and felt the program improved the safety of their schools. The ongoing use of saliva testing for SARS-CoV-2 was supported by 73% of respondents.

Conclusion: On-campus saliva testing is a feasible option for primary schools to screen for COVID-19 in their student population to help keep their campuses safe and open for learning.

Keywords: COVID-19; saliva testing; mitigation; primary school.

The COVID-19 pandemic is a leading cause of morbidity and mortality worldwide and continues to exhaust health care resources on a large scale.¹ Efficient testing is critical to identify cases early and to help mitigate the deleterious effects of the pandemic.² Saliva polymerase chain reaction (PCR) nucleic acid amplification testing (NAAT) is more comfortable than nasopharyngeal (NP) NAAT and has been validated as a test for SARS-CoV-2.¹ Although children are less susceptible to severe disease, primary schools are considered a vector for transmission and community spread.³ Efficient and scalable methods of routine testing are needed globally to help keep schools open. Saliva testing has proven a useful resource for this population.^4,5

Abu Dhabi is the largest Emirate in the United Arab Emirates (UAE), with an estimated population of 2.5 million.⁶ The first case of COVID-19 was discovered in the UAE on January 29, 2020.⁷ The UAE has been recognized worldwide for its robust pandemic response. Along with the coordinated and swift application of public health measures, the country has one of the highest COVID-19 testing rates per capita and one of the highest vaccination rates worldwide.^8,9 The Abu Dhabi Public Health Center (ADPHC) works alongside the Ministry of Education (MOE) to establish testing, quarantine, and general safety guidelines for primary schools. In December 2020, the ADPHC partnered with a local, accredited diagnostic laboratory to test the feasibility of a saliva-based screening program for COVID-19 directly on school campuses for 18 primary schools in the Emirate.

Saliva-based PCR testing for COVID-19 was approved for use in schools in the UAE on January 24, 2021.¹⁰ As part of a greater mitigation strategy to reduce both school-based transmission and, hence, community spread, the ADPHC focused its on-site testing program on children aged 4 to 12 years. The program required collaboration among medical professionals, school administrators and teachers, students, and parents. Our study evaluates the feasibility of implementing a saliva-based COVID-19 screening program directly on primary school campuses involving children as young as 4 years of age.

Methods

The ADPHC, in collaboration with G42 Biogenix Labs, conducted a saliva SARS-CoV-2 NAAT testing program in 18 primary schools in the Emirate. Schools were selected based on outbreak prevalence at the time and focused on “hot spot” areas. The school on-site saliva testing program included children aged 4 to 12 years old in a “bubble” attendance model during the school day. This model involved children being assigned to groups or “pods.” This allowed us to limit a potential outbreak to a single pod, as opposed to risk exposing the entire school, should a single student test positive. The well-established SalivaDirect protocol developed at Yale University was used for testing and included an RNA extraction-free, RT-qPCR method for SARS-CoV-2 detection.¹¹

We conducted a qualitative study involving telephone interviews of school administrators to evaluate their experience with the ADPHC testing program at their schools. In addition, we interviewed the G42 Biogenix Lab providers to understand the logistics that supported on-campus collection of saliva specimens for this age group. We also gathered the attitudes of school children before and after testing. This study was reviewed and approved by the Abu Dhabi Health Research and Technology Committee and the Institutional Review Board (IRB), New York University Abu Dhabi (NYUAD).

Sample and recruitment

The original sample collection of saliva specimens was performed by the ADPHC in collaboration with G42 Biogenix Lab providers on school campuses between December 6 and December 10, 2020. During this time, schools operated in a hybrid teaching model, where learning took place both online and in person. Infection control measures were deployed based on ADPHC standards and guidelines. Nurses utilized appropriate patient protective equipment, frequent hand hygiene, and social distancing during the collection process. Inclusion criteria included asymptomatic students aged 4 to 12 years attending in-person classes on campus. Students with respiratory symptoms who were asked to stay home or those not attending in-person classes were excluded.

Data with regard to school children’s attitudes before and after testing were compiled through an online survey sent randomly to participants postintervention. Data from school administrators were collected through video and telephone interviews between April 14 and April 29, 2021. We first interviewed G42 Biogenix Lab providers to obtain previously acquired qualitative and quantitative data, which were collected during the intervention itself. After obtaining this information, we designed a questionnaire and proceeded with a structured interview process for school officials.

We interviewed school principals and administrators to collect their overall experiences with the saliva testing program. Before starting each interview, we established the interviewees preferred language, either English or Arabic. We then introduced the meeting attendees and provided study details, aims, and objectives, and described collaborating entities. We obtained verbal informed consent from a script approved by the NYUAD IRB and then proceeded with the interview, which included 4 questions. The first 3 questions were answered on a 5-point Likert scale model that consisted of 5 answer options: 5 being completely agree, 4 agree, 3 somewhat agree, 2 somewhat disagree, and 1 completely disagree. The fourth question invited open-ended feedback and comments on the following statements:

1. I believe the COVID-19 saliva testing program improved the safety for my school campus.
2. Our community had an overall positive experience with the COVID saliva testing.
3. We would like to continue a saliva-based COVID testing program on our school campus.
4. Please provide any additional comments you feel important about the program.

During the interview, we transcribed the answers as the interviewee was answering. We then translated those in Arabic into English and collected the data in 1 Excel spreadsheet. School interviewees and school names were de-identified in the collection and storage process.

Results

A total of 2011 saliva samples were collected from 18 different primary school campuses. Samples were sent the same day to G42 Biogenix Labs in Abu Dhabi for COVID PCR testing. A team consisting of 5 doctors providing general oversight, along with 2 to 6 nurses per site, were able to manage the collection process for all 18 school campuses. Samples were collected between 8 am and 2 pm and required variation among sites depending on factors such as staff availability and class schedules. Additional scheduling challenges included compliance with public safety mandates involving the maintenance of defined “safety bubbles” that forbid certain personnel from moving between floors, and the avoidance of mixing students from different classes.

Sample stations were set up in either the school auditorium or gymnasium to ensure appropriate crowd control and ventilation. Teachers and other school staff, including public safety, were able to manage lines and the shuttling of students back and forth from classes to testing stations, which allowed medical staff to focus on sample collection.

Informed consent was obtained by prior electronic communication to parents from school staff, asking them to agree to allow their child to participate in the testing program. Informed consent was identified as a challenge: Getting parents to understand that saliva testing was more comfortable than NP testing, and that the results were only being used to help keep the school safe, took time. School staff are used to obtaining consent from parents for field trips, but this was clearly more challenging for them.

The saliva collection process per child took more time than expected. Children fasted for 45 minutes before saliva collection. We used an active drool technique, which required children to pool saliva in their mouth then express it into a collection tube. Adults can generally do this on command, but we found it took 10 to 12 minutes per child. Saliva production was cued by asking the children to think about food, and by showing them pictures and TV commercials depicting food. Children 4 to 5 years old had more difficulty with the process despite active cueing, while those 6 to 12 years old had an easier time with the process. We collected data on a cohort of 80 children regarding their attitudes pre (Figure 1) and post collection (Figure 2). Children felt happier, less nervous, and less scared after collection than before collection. This trend reassured us that future collections would be easier for students.

A total of 15 of 18 school principals completed the telephone interview, yielding a response rate of 83%. Overall, 93% of the school principals agreed or completely agreed that the COVID-19 saliva testing program improved school safety; 93% agreed or completely agreed that they had an overall positive experience with the program; and 73% supported the ongoing use of saliva testing in their schools (Table 1). Administrators’ open-ended comments on their experience were positive overall (Table 2).

Discussion

By March 2020, many kindergarten to grade 12 public and private schools suspended in-person classes due to the pandemic and turned to online learning platforms. The negative impact of school closures on academic achievement is projected to be significant.^7,12,13 Ensuring schools can stay open and run operations safely will require routine SARS-CoV-2 testing. Our study investigated the feasibility of routine saliva testing on children aged 4 to 12 years on their school campuses. The ADPHC school on-site saliva testing program involved bringing lab providers onto 18 primary school campuses and required cooperation among parents, students, school administrators, and health care professionals.

Children younger than 6 years had difficulty producing an adequate saliva specimen, whereas those 6 to 12 years did so with relative ease when cued by thoughts or pictures of food while waiting in line for collection. Schools considering on-site testing programs should consider the age range of 6 to 12 years as a viable age range for saliva screening. Children should fast for a minimum of 45 minutes prior to saliva collection and should be cued by thoughts of food, food pictures, or food commercials. Setting up a sampling station close to the cafeteria where students can smell meal preparation may also help.^14,15 Sampling before breakfast or lunch, when children are potentially at their hungriest, should also be considered.

The greatest challenge was obtaining informed consent from parents who were not yet familiar with the reliability of saliva testing as a tool for SARS-CoV-2 screening or with the saliva collection process as a whole. Informed consent was initially done electronically, lacking direct human interaction to answer parents’ questions. Parents who refused had a follow-up call from the school nurse to further explain the logistics and rationale for saliva screening. Having medical professionals directly answer parents’ questions was helpful. Parents were reassured that the process was painless, confidential, and only to be used for school safety purposes. Despite school administrators being experienced in obtaining consent from parents for field trips, obtaining informed consent for a medical testing procedure is more complicated, and parents aren’t accustomed to providing such consent in a school environment. Schools considering on-site testing should ensure that their school nurse or other health care providers are on the front line obtaining informed consent and allaying parents’ fears.

School staff were able to effectively provide crowd control for testing, and children felt at ease being in a familiar environment. Teachers and public safety officers are well-equipped at managing the shuttling of students to class, to lunch, to physical education, and, finally, to dismissal. They were equally equipped at handling the logistics of students to and from testing, including minimizing crowds and helping students feel at ease during the process. This effective collaboration allowed the lab personnel to focus on sample collection and storage, while school staff managed all other aspects of the children’s safety and care.

Conclusion

Overall, school administrators had a positive experience with the testing program, felt the program improved the safety of their schools, and supported the ongoing use of saliva testing for SARS-CoV-2 on their school campuses. Children aged 6 years and older were able to provide adequate saliva samples, and children felt happier and less nervous after the process, indicating repeatability. Our findings highlight the feasibility of an integrated on-site saliva testing model for primary school campuses. Further research is needed to determine the scalability of such a model and whether the added compliance and safety of on-site testing compensates for the potential loss of learning time that testing during school hours would require.

Corresponding author: Ayaz Virji, MD, New York University Abu Dhabi, PO Box 129188, Abu Dhabi, United Arab Emirates; [email protected].

Financial disclosures: None.

While sick at home with a 26-day symptomatic course of COVID-19 in March 2020, I watched the surge unfold in my state and the hospital where I work as an inpatient adult medicine physician. Although the preponderance of my professional life is dedicated to leading teams in implementing delivery system transformation, the hat I wore in that moment involved living through and keeping up with the changes around me. Once I recovered and returned to the arena as a COVID doctor, I adapted to and made changes during constant shifts in how we provided care.

Looking back on those months during the worst of the COVID-19 hospital surge in my region, I reflect on the factors that helped me, as a frontline and shift-work clinician, adapt to and make those changes. In reflecting on the elements that were meaningful to me during the crisis, I recognize a set of change-enabling factors that have broad relevance for those of us who work to improve outcomes for patients and populations.

Confidence engendered by liberating data

In the early days of the surge, there was much uncertainty, and unfortunately, some seriously imperfect messaging. Trust was broken or badly bruised for many frontline clinicians. I share this painful phase not to criticize, but rather reflect on what mattered to me during that crisis of confidence. It was data. Raw, unadjusted, best-available data. Produced and pushed out. Available, trended over time, telling the story of where we are, now. Counts of tests, beds, and ventilators. The consistent, transparent availability of relevant and straightforward data provided an active antidote to a sense of uncertainty during a crisis of confidence.

Personal practice change stimulated by relevance and urgency

For half a decade, I have been encouraging interdisciplinary inpatient teams to identify and actively engage the family and/or care partner as a member of the care team. Despite even the American Association of Retired Persons mobilizing an impressive regulatory approach in 32 states to require that family and/or care partners are included as such, the practice change efforts continued on a slow and steady path. Why? We just didn’t believe it was of urgent, relevant, mission-critical importance to our daily practice to do so. That all changed in March 2020.

Without needing to be told, educated, or incentivized, my first night as a COVID doctor found me calling every single patient’s family upon admission, regardless of what time it was. It was critical to review the diagnosis, transparently discuss the uncertainty regarding the upcoming hours and days, review the potential contingencies, and ask, right there and then, whether intubation is consistent with goals of care. It was that urgent and relevant. Without exception, families were grateful for the effort and candor.

The significance of this practice—undoubtedly adopted by every inpatient provider who has worked a COVID surge—is rooted in decades of academic deliberation on which is the “right” doctor to have these discussions. None of that mattered. Historical opinions changed due to what was urgent and relevant given the situation at hand and the job we had to do. Imagine, for example, what we could do and how we could change if we now consider it urgent and relevant to identify and mobilize enhanced services and supports to patients who experience inequities because we believe it to be mission-critical to the job we show up to do every day.

Change fostered by a creative problem-solving ecosystem

Embracing personal practice change was made easier and implicitly affirmed by the creative problem solving that occurred everywhere. Tents, drive-throughs, and even college field houses were now settings of care. Primary care physicians, cardiologists, and gastrointestinal (GI) and postanesthesia care nurses staffed the COVID floors. Rolling stands held iPads so staff could communicate with patients without entering the room. This creative ecosystem fostered individual practice change. No debates were needed to recognize that standard processes were inadequate. No single role or service of any discipline was singularly asked to change to meet the needs of the moment. Because of this ecosystem of creative, active change, there was a much greater flexibility among individuals, role types, departments, and disciplines to change. This is particularly poignant to me in light of the work I lead to improve care for patients who experience systemic inequities in our health care system. When we ask a single role type or discipline to change, it can be met with resistance; far more success is achieved when we engage an interdisciplinary and interdepartmental approach to change. When surrounded by others making change, it makes us more willing to change, too.

It is so often invoked that health care is a team sport. In practicality, while we may aspire to work as a team, health care delivery is still all too often comprised of a set of individual actors with individualized responsibilities trying to communicate the best they can with each other.

What I experienced during the surge at my hospital was the very best version of teamwork I have ever been a part of in health care: empathetic, mutually interdependent strangers coming together during daily changes in staffing, processes, and resources. I will never forget nights walking into the pediatric floor or day surgery recovery area—now repurposed as a COVID unit—to entirely new faces comprised of GI suite nurses, outpatient doctors, and moonlighting intensivists.

We were all new to each other, all new to working in this setting, and all new to whatever the newest changes of the day brought. I will never forget how we greeted each other and introduced ourselves. We asked each other where we were “from,” and held a genuine appreciation to each other for being there. Imagine how this impacted how we worked together. Looking back on those night shifts, I remember us as a truly interdependent team. I will endeavor to bring that sense of mutual regard and interdependency into my work to foster effective interdisciplinary and cross-continuum teamwork.

Takeaways

As a student and practitioner of delivery system transformation, I am often in conversations about imperfect data, incomplete evidence, and role-specific and organizational resistance to change. As an acute care provider during the COVID-19 hospital surge in my region, the experiences I had as a participant in the COVID-related delivery system change will stay with me as I lead value-based delivery system change. What worked in an infectious disease crisis holds great relevance to our pressing, urgent, relevant work to create a more person-centered, equitable, and value-based delivery system.

I am confident that if those of us seeking to improve outcomes use visible and accessible data to engender confidence, clearly link practice change to the relevant and urgent issue at hand, promote broadly visible creative problem solving to foster an ecosystem of change, and cultivate empathy and mutual interdependence to promote the teamwork we aspire to have, that we will foster meaningful progress in our efforts to improve care for patients and populations.

Corresponding author: Amy Boutwell, MD, MPP, President, Collaborative Healthcare Strategies, Lexington, MA; [email protected].

Financial disclosures: None.

While sick at home with a 26-day symptomatic course of COVID-19 in March 2020, I watched the surge unfold in my state and the hospital where I work as an inpatient adult medicine physician. Although the preponderance of my professional life is dedicated to leading teams in implementing delivery system transformation, the hat I wore in that moment involved living through and keeping up with the changes around me. Once I recovered and returned to the arena as a COVID doctor, I adapted to and made changes during constant shifts in how we provided care.

Looking back on those months during the worst of the COVID-19 hospital surge in my region, I reflect on the factors that helped me, as a frontline and shift-work clinician, adapt to and make those changes. In reflecting on the elements that were meaningful to me during the crisis, I recognize a set of change-enabling factors that have broad relevance for those of us who work to improve outcomes for patients and populations.

Confidence engendered by liberating data

In the early days of the surge, there was much uncertainty, and unfortunately, some seriously imperfect messaging. Trust was broken or badly bruised for many frontline clinicians. I share this painful phase not to criticize, but rather reflect on what mattered to me during that crisis of confidence. It was data. Raw, unadjusted, best-available data. Produced and pushed out. Available, trended over time, telling the story of where we are, now. Counts of tests, beds, and ventilators. The consistent, transparent availability of relevant and straightforward data provided an active antidote to a sense of uncertainty during a crisis of confidence.

Personal practice change stimulated by relevance and urgency

For half a decade, I have been encouraging interdisciplinary inpatient teams to identify and actively engage the family and/or care partner as a member of the care team. Despite even the American Association of Retired Persons mobilizing an impressive regulatory approach in 32 states to require that family and/or care partners are included as such, the practice change efforts continued on a slow and steady path. Why? We just didn’t believe it was of urgent, relevant, mission-critical importance to our daily practice to do so. That all changed in March 2020.

Without needing to be told, educated, or incentivized, my first night as a COVID doctor found me calling every single patient’s family upon admission, regardless of what time it was. It was critical to review the diagnosis, transparently discuss the uncertainty regarding the upcoming hours and days, review the potential contingencies, and ask, right there and then, whether intubation is consistent with goals of care. It was that urgent and relevant. Without exception, families were grateful for the effort and candor.

The significance of this practice—undoubtedly adopted by every inpatient provider who has worked a COVID surge—is rooted in decades of academic deliberation on which is the “right” doctor to have these discussions. None of that mattered. Historical opinions changed due to what was urgent and relevant given the situation at hand and the job we had to do. Imagine, for example, what we could do and how we could change if we now consider it urgent and relevant to identify and mobilize enhanced services and supports to patients who experience inequities because we believe it to be mission-critical to the job we show up to do every day.

Change fostered by a creative problem-solving ecosystem

Embracing personal practice change was made easier and implicitly affirmed by the creative problem solving that occurred everywhere. Tents, drive-throughs, and even college field houses were now settings of care. Primary care physicians, cardiologists, and gastrointestinal (GI) and postanesthesia care nurses staffed the COVID floors. Rolling stands held iPads so staff could communicate with patients without entering the room. This creative ecosystem fostered individual practice change. No debates were needed to recognize that standard processes were inadequate. No single role or service of any discipline was singularly asked to change to meet the needs of the moment. Because of this ecosystem of creative, active change, there was a much greater flexibility among individuals, role types, departments, and disciplines to change. This is particularly poignant to me in light of the work I lead to improve care for patients who experience systemic inequities in our health care system. When we ask a single role type or discipline to change, it can be met with resistance; far more success is achieved when we engage an interdisciplinary and interdepartmental approach to change. When surrounded by others making change, it makes us more willing to change, too.

It is so often invoked that health care is a team sport. In practicality, while we may aspire to work as a team, health care delivery is still all too often comprised of a set of individual actors with individualized responsibilities trying to communicate the best they can with each other.

What I experienced during the surge at my hospital was the very best version of teamwork I have ever been a part of in health care: empathetic, mutually interdependent strangers coming together during daily changes in staffing, processes, and resources. I will never forget nights walking into the pediatric floor or day surgery recovery area—now repurposed as a COVID unit—to entirely new faces comprised of GI suite nurses, outpatient doctors, and moonlighting intensivists.

We were all new to each other, all new to working in this setting, and all new to whatever the newest changes of the day brought. I will never forget how we greeted each other and introduced ourselves. We asked each other where we were “from,” and held a genuine appreciation to each other for being there. Imagine how this impacted how we worked together. Looking back on those night shifts, I remember us as a truly interdependent team. I will endeavor to bring that sense of mutual regard and interdependency into my work to foster effective interdisciplinary and cross-continuum teamwork.

Takeaways

As a student and practitioner of delivery system transformation, I am often in conversations about imperfect data, incomplete evidence, and role-specific and organizational resistance to change. As an acute care provider during the COVID-19 hospital surge in my region, the experiences I had as a participant in the COVID-related delivery system change will stay with me as I lead value-based delivery system change. What worked in an infectious disease crisis holds great relevance to our pressing, urgent, relevant work to create a more person-centered, equitable, and value-based delivery system.

I am confident that if those of us seeking to improve outcomes use visible and accessible data to engender confidence, clearly link practice change to the relevant and urgent issue at hand, promote broadly visible creative problem solving to foster an ecosystem of change, and cultivate empathy and mutual interdependence to promote the teamwork we aspire to have, that we will foster meaningful progress in our efforts to improve care for patients and populations.

Corresponding author: Amy Boutwell, MD, MPP, President, Collaborative Healthcare Strategies, Lexington, MA; [email protected].

Financial disclosures: None.

While sick at home with a 26-day symptomatic course of COVID-19 in March 2020, I watched the surge unfold in my state and the hospital where I work as an inpatient adult medicine physician. Although the preponderance of my professional life is dedicated to leading teams in implementing delivery system transformation, the hat I wore in that moment involved living through and keeping up with the changes around me. Once I recovered and returned to the arena as a COVID doctor, I adapted to and made changes during constant shifts in how we provided care.

Looking back on those months during the worst of the COVID-19 hospital surge in my region, I reflect on the factors that helped me, as a frontline and shift-work clinician, adapt to and make those changes. In reflecting on the elements that were meaningful to me during the crisis, I recognize a set of change-enabling factors that have broad relevance for those of us who work to improve outcomes for patients and populations.

Confidence engendered by liberating data

In the early days of the surge, there was much uncertainty, and unfortunately, some seriously imperfect messaging. Trust was broken or badly bruised for many frontline clinicians. I share this painful phase not to criticize, but rather reflect on what mattered to me during that crisis of confidence. It was data. Raw, unadjusted, best-available data. Produced and pushed out. Available, trended over time, telling the story of where we are, now. Counts of tests, beds, and ventilators. The consistent, transparent availability of relevant and straightforward data provided an active antidote to a sense of uncertainty during a crisis of confidence.

Personal practice change stimulated by relevance and urgency

For half a decade, I have been encouraging interdisciplinary inpatient teams to identify and actively engage the family and/or care partner as a member of the care team. Despite even the American Association of Retired Persons mobilizing an impressive regulatory approach in 32 states to require that family and/or care partners are included as such, the practice change efforts continued on a slow and steady path. Why? We just didn’t believe it was of urgent, relevant, mission-critical importance to our daily practice to do so. That all changed in March 2020.

Without needing to be told, educated, or incentivized, my first night as a COVID doctor found me calling every single patient’s family upon admission, regardless of what time it was. It was critical to review the diagnosis, transparently discuss the uncertainty regarding the upcoming hours and days, review the potential contingencies, and ask, right there and then, whether intubation is consistent with goals of care. It was that urgent and relevant. Without exception, families were grateful for the effort and candor.

The significance of this practice—undoubtedly adopted by every inpatient provider who has worked a COVID surge—is rooted in decades of academic deliberation on which is the “right” doctor to have these discussions. None of that mattered. Historical opinions changed due to what was urgent and relevant given the situation at hand and the job we had to do. Imagine, for example, what we could do and how we could change if we now consider it urgent and relevant to identify and mobilize enhanced services and supports to patients who experience inequities because we believe it to be mission-critical to the job we show up to do every day.

Change fostered by a creative problem-solving ecosystem

Embracing personal practice change was made easier and implicitly affirmed by the creative problem solving that occurred everywhere. Tents, drive-throughs, and even college field houses were now settings of care. Primary care physicians, cardiologists, and gastrointestinal (GI) and postanesthesia care nurses staffed the COVID floors. Rolling stands held iPads so staff could communicate with patients without entering the room. This creative ecosystem fostered individual practice change. No debates were needed to recognize that standard processes were inadequate. No single role or service of any discipline was singularly asked to change to meet the needs of the moment. Because of this ecosystem of creative, active change, there was a much greater flexibility among individuals, role types, departments, and disciplines to change. This is particularly poignant to me in light of the work I lead to improve care for patients who experience systemic inequities in our health care system. When we ask a single role type or discipline to change, it can be met with resistance; far more success is achieved when we engage an interdisciplinary and interdepartmental approach to change. When surrounded by others making change, it makes us more willing to change, too.

It is so often invoked that health care is a team sport. In practicality, while we may aspire to work as a team, health care delivery is still all too often comprised of a set of individual actors with individualized responsibilities trying to communicate the best they can with each other.

What I experienced during the surge at my hospital was the very best version of teamwork I have ever been a part of in health care: empathetic, mutually interdependent strangers coming together during daily changes in staffing, processes, and resources. I will never forget nights walking into the pediatric floor or day surgery recovery area—now repurposed as a COVID unit—to entirely new faces comprised of GI suite nurses, outpatient doctors, and moonlighting intensivists.

We were all new to each other, all new to working in this setting, and all new to whatever the newest changes of the day brought. I will never forget how we greeted each other and introduced ourselves. We asked each other where we were “from,” and held a genuine appreciation to each other for being there. Imagine how this impacted how we worked together. Looking back on those night shifts, I remember us as a truly interdependent team. I will endeavor to bring that sense of mutual regard and interdependency into my work to foster effective interdisciplinary and cross-continuum teamwork.

Takeaways

As a student and practitioner of delivery system transformation, I am often in conversations about imperfect data, incomplete evidence, and role-specific and organizational resistance to change. As an acute care provider during the COVID-19 hospital surge in my region, the experiences I had as a participant in the COVID-related delivery system change will stay with me as I lead value-based delivery system change. What worked in an infectious disease crisis holds great relevance to our pressing, urgent, relevant work to create a more person-centered, equitable, and value-based delivery system.

I am confident that if those of us seeking to improve outcomes use visible and accessible data to engender confidence, clearly link practice change to the relevant and urgent issue at hand, promote broadly visible creative problem solving to foster an ecosystem of change, and cultivate empathy and mutual interdependence to promote the teamwork we aspire to have, that we will foster meaningful progress in our efforts to improve care for patients and populations.

Corresponding author: Amy Boutwell, MD, MPP, President, Collaborative Healthcare Strategies, Lexington, MA; [email protected].

Financial disclosures: None.

Study Overview

Objective. To evaluate whether a digital intervention comprising self-monitoring of blood pressure (BP) with reminders and predetermined drug changes combined with lifestyle change support resulted in lower systolic BP in people receiving treatment for hypertension that was poorly controlled, and whether this approach was cost effective.

Design. Unmasked randomized controlled trial.

Settings and participants. Eligible participants were identified from clinical codes recorded in the electronic health records of 76 collaborating general practices from the National Institute for Health Research Clinical Research Network, a United Kingdom government agency. The practices sent invitation letters to eligible participants to come to the clinic to establish eligibility, take consent, and collect baseline data via online questionnaires.

Eligible participants were aged 18 years or older with treated hypertension, a mean baseline BP reading of more than 140/90 mm Hg and were taking no more than 3 antihypertensive drugs. Participants also needed to be willing to self-monitor and have access to the internet (with support from a family member if needed). Exclusions included BP greater than 180/110 mm Hg, atrial fibrillation, hypertension not managed by their general practitioner, chronic kidney disease stage 4-5, postural hypotension (> 20 mm Hg systolic drop), an acute cardiovascular event in the previous 3 months, terminal disease, or another condition which in the opinion of their general practitioner made participation inappropriate.

Of the 11 399 invitation letters sent out, 1389 (12%) potential participants responded positively and were screened for eligibility. Those who declined to take part could optionally give their reasons, and responses were gained from 2426 of 10 010 (24%). The mean age of those who gave a reason for declining was 73 years. The most commonly selected reasons for declining were not having access to the internet (982, 41%), not wanting to participate in a research trial (617, 25%) or an internet study (543, 22%), and not wanting to change drugs (535, 22%). Of the 1389 screened, 734 were ineligible, and 33 did not complete baseline measures and randomization. The remaining 622 people who were randomized in a 1:1 ratio to receive the HOME BP intervention (n = 305) or usual care (n = 317).

Intervention vs usual care. The HOME BP intervention for the self-management of high BP consisted of an integrated patient and health care practitioner online digital intervention, BP self-monitoring (using an Omron M3 monitor), health care practitioner directed and supervised titration of antihypertensive drugs, and user-selected lifestyle modifications. Participants were advised via automated email reminders to take 2 morning BP readings for 7 days each month and to enter online each second reading. Mean home BP was calculated, accompanied by feedback of BP results to both patients and professionals with optional evidence-based lifestyle advice (for healthy eating, physical activity, losing weight if appropriate, and salt and alcohol reduction) and motivational support through practice nurses or health care assistances (using the CARE approach – congratulate, ask, reassure, encourage).

Participants allocated to usual care were not provided with self-monitoring equipment or the HOME BP intervention but had online access to the information provided in a patient leaflet for hypertension. This information comprised definitions of hypertension, causes, and brief guidance on treatment, including lifestyle changes and drugs. These participants received routine hypertension care that typically consisted of clinic BP monitoring to titrate drugs, with appointments and drug changes made at the discretion of the general practitioner. Participants were not prevented from self-monitoring, but data on self-monitoring practices were collected at the end of the trial from patients and practitioners.

Measures and analysis. The primary outcome measure was the difference in systolic BP at 12-month follow-up between the intervention and usual care groups (adjusting for baseline BP, practice, BP target levels, and sex). Secondary outcomes included systolic and diastolic BP at 6 and 12 months, weight, modified patient enablement instrument, drug adherence, health-related quality of life, and side effects from the symptoms section of an adjusted illness perceptions questionnaire. At trial, registration participants and general practitioners were asked about their use of self-monitoring in the usual care group.

The primary analysis used general linear modelling to compare systolic BP in the intervention and usual care groups at follow-up, adjusting for baseline BP, practice (as a random effect to take into account clustering), BP target levels, and sex. Analyses were on an intention-to-treat basis and used multiple imputation for missing data. Sensitivity analyses used complete cases and a repeated measures technique. Secondary analyses used similar techniques to assess differences between groups. A within-trial economic analysis estimated cost per unit reduction in systolic BP by using similar adjustments and multiple imputation for missing values. Repeated bootstrapping was used to estimate the probability of the intervention being cost-effective at different levels of willingness to pay per unit reduction in BP.

Main results. The intervention and usual care groups did not differ significantly – participants had a mean age of 66 years and mean baseline clinical BP of 151.6/85.3 mm Hg and 151.7/86.4 mm Hg (usual care and intervention, respectively). Most participants were White British (94%), just more than half were men, and the time since diagnosis averaged around 11 years. The most deprived group (based on the English Index of Multiple Deprivation) accounted for 63/622 (10%), with the least deprived group accounting for 326/622 (52%).

After 1 year, data were available from 552 participants (88.6%) with imputation for the remaining 70 participants (11.4%). Mean BP dropped from 151.7/86.4 to 138.4/80.2 mm Hg in the intervention group and from 151.6/85.3 to 141.8/79.8 mm Hg in the usual care group, giving a mean difference in systolic BP of −3.4 mm Hg (95% CI −6.1 to −0.8 mm Hg) and a mean difference in diastolic BP of −0.5 mm Hg (−1.9 to 0.9 mm Hg). Exploratory subgroup analyses suggested that participants aged 67 years or older had a smaller effect size than those younger than 67. Similarly, while the effect sizes in the standard and diabetes target groups were similar, those older than 80 years with a higher target of 145/85 mm Hg showed little evidence of benefit. Results for other subgroups, including sex, baseline BP, deprivation, and history of self-monitoring, were similar between groups.

Engagement with the digital intervention was high, with 281/305 (92%) participants completing the 2 core training sessions, 268/305 (88%) completing a week of practice BP readings, and 243/305 (80%) completing at least 3 weeks of BP entries. Furthermore, 214/305 (70%) were still monitoring in the last 3 months of participation. However, less than 1/3 of participants chose to register on 1 of the optional lifestyle change modules. In the usual care group, a post-hoc analysis after 12 months showed that 112/234 (47%) patients reported monitoring their own BP at home at least once per month during the trial.

The difference in mean cost per patient was £38 (US $51.30, €41.9; 95% CI £27 to £47), which along with the decrease in systolic BP, gave an incremental cost per mm Hg BP reduction of £11 (£6 to £29). Bootstrapping analysis showed the intervention had high (90%) probability of being cost-effective at willingness to pay above £20 per unit reduction. The probabilities of being cost-effective for the intervention against usual care were 87%, 93%, and 97% at thresholds of £20, £30, and £50, respectively.

Conclusion. The HOME BP digital intervention for the management of hypertension by using self-monitored BP led to better control of systolic BP after 1 year than usual care, with low incremental costs. Implementation in primary care will require integration into clinical workflows and consideration of people who are digitally excluded.

Commentary

Elevated BP, also known as hypertension, is the most important, modifiable risk factor for cardiovascular disease and mortality.¹ Clinically significant effects and improvements in mortality can be achieved with relatively small reductions in BP levels. Long-established lifestyle modifications that effectively lower BP include weight loss, reduced sodium intake, increased physical activity, and limited alcohol intake. However, motivating patients to achieve lifestyle modifications is among the most difficult aspects of managing hypertension. Importantly, for individuals taking antihypertensive medication, lifestyle modification is recommended as adjunctive therapy to reduce BP. Given that target blood pressure levels are reached for less than half of adults, novel interventions are needed to improve BP control – in particular, individualized cognitive behavioral interventions are more likely to be effective than standardized, single-component interventions.

Guided self-management for hypertension as part of systematic, planned care offers the potential for improvements in adherence and in turn improved long-term patient outcomes.² Self-management can encompass a wide range of behaviors in addition to medication titration and monitoring of symptoms, such as individuals’ ability to manage physical, psychosocial and lifestyle behaviors related to their condition.³ Digital interventions leveraging apps, software, and/or technologies in particular have the potential to support people in self-management, allow for remote monitoring, and enable personalized and adaptive strategies for chronic disease management.^4-5 An example of a digital intervention in the context of guided self-management for hypertension can be a web-based program delivered by computer or phone that combines health information with decision support to help inform behavior change in patients and remote monitoring of patient status by health professionals. Well-designed digital interventions can effectively change patient health-related behaviors, improve patient knowledge and confidence for self-management of health, and lead to better health outcomes.^6-7

This study adds to the literature as a large, randomized controlled trial evaluating the effectiveness of a digital intervention in the field of hypertension and with follow-up for a year. The authors highlight that relatively few studies have been performed that combine self-monitoring with a digitally delivered cointervention, and none has shown a major effect in an adequately powered trial over a year. Results from this study showed that HOME BP, a digital intervention enabling self-management of hypertension, including self-monitoring, titration based on self-monitored BP, lifestyle advice, and behavioral support for patients and health care professionals, resulted in a worthwhile reduction of systolic BP. In addition, this reduction was achieved at modest cost based on the within trial cost effectiveness analysis.

There are many important strengths of this study, especially related to the design and analysis strategy, and some limitations. This study was designed as a randomized controlled trial with a 1 year follow-up period, although participants were unmasked to the group they were randomized to, which may have impacted their behaviors while in the study. As the authors state, the study was not only adequately powered to detect a difference in blood pressure, but also over-recruitment ensured such an effect was not missed. Recruiting from a large number of general practices ensured generalizability in terms of health care professionals. Importantly, while study participants mostly identified as predominantly White and tended to be of higher socioeconomic status, this is representative of the aged population in England and Wales. Nevertheless, generalizability of findings from this study is still limited to the demographic characteristics of the study population. Other strengths included inclusion of intention-to-treat analysis, multiple imputation for missing data, sensitivity analysis, as well as economic analysis and cost effectiveness analysis.

Of note, results from the study are only attributable to the digital interventions used in this study (digital web-based with limited mechanisms of behavior change and engagement built-in) and thus should not be generalized to all digital interventions for managing hypertension. Also, as the authors highlight, the relative importance of the different parts of the digital intervention were unable to be distinguished, although this type of analysis is important in multicomponent interventions to better understand the most effective mechanism impacting change in the primary outcome.

Applications for Clinical Practice

Results of this study demonstrated that among participants being treated with hypertension, those engaged with the HOME BP digital intervention (combining self-monitoring of blood pressure with guided self-management) had better control of systolic BP after 1 year compared to participants receiving usual care. While these findings have important implications in the management of hypertension in health care systems, its integration into clinical workflow, sustainability, long-term clinical effectiveness, and effectiveness among diverse populations is unclear. However, clinicians can still encourage and support the use of evidence-based digital tools for patient self-monitoring of BP and guided-management of lifestyle modifications to lower BP. Additionally, clinicians can proactively propose incorporating evidence-based digital interventions like HOME BP into routine clinical practice guidelines.

Financial disclosures: None.

Study Overview

Objective. To evaluate whether a digital intervention comprising self-monitoring of blood pressure (BP) with reminders and predetermined drug changes combined with lifestyle change support resulted in lower systolic BP in people receiving treatment for hypertension that was poorly controlled, and whether this approach was cost effective.

Design. Unmasked randomized controlled trial.

Settings and participants. Eligible participants were identified from clinical codes recorded in the electronic health records of 76 collaborating general practices from the National Institute for Health Research Clinical Research Network, a United Kingdom government agency. The practices sent invitation letters to eligible participants to come to the clinic to establish eligibility, take consent, and collect baseline data via online questionnaires.

Eligible participants were aged 18 years or older with treated hypertension, a mean baseline BP reading of more than 140/90 mm Hg and were taking no more than 3 antihypertensive drugs. Participants also needed to be willing to self-monitor and have access to the internet (with support from a family member if needed). Exclusions included BP greater than 180/110 mm Hg, atrial fibrillation, hypertension not managed by their general practitioner, chronic kidney disease stage 4-5, postural hypotension (> 20 mm Hg systolic drop), an acute cardiovascular event in the previous 3 months, terminal disease, or another condition which in the opinion of their general practitioner made participation inappropriate.

Of the 11 399 invitation letters sent out, 1389 (12%) potential participants responded positively and were screened for eligibility. Those who declined to take part could optionally give their reasons, and responses were gained from 2426 of 10 010 (24%). The mean age of those who gave a reason for declining was 73 years. The most commonly selected reasons for declining were not having access to the internet (982, 41%), not wanting to participate in a research trial (617, 25%) or an internet study (543, 22%), and not wanting to change drugs (535, 22%). Of the 1389 screened, 734 were ineligible, and 33 did not complete baseline measures and randomization. The remaining 622 people who were randomized in a 1:1 ratio to receive the HOME BP intervention (n = 305) or usual care (n = 317).

Intervention vs usual care. The HOME BP intervention for the self-management of high BP consisted of an integrated patient and health care practitioner online digital intervention, BP self-monitoring (using an Omron M3 monitor), health care practitioner directed and supervised titration of antihypertensive drugs, and user-selected lifestyle modifications. Participants were advised via automated email reminders to take 2 morning BP readings for 7 days each month and to enter online each second reading. Mean home BP was calculated, accompanied by feedback of BP results to both patients and professionals with optional evidence-based lifestyle advice (for healthy eating, physical activity, losing weight if appropriate, and salt and alcohol reduction) and motivational support through practice nurses or health care assistances (using the CARE approach – congratulate, ask, reassure, encourage).

Participants allocated to usual care were not provided with self-monitoring equipment or the HOME BP intervention but had online access to the information provided in a patient leaflet for hypertension. This information comprised definitions of hypertension, causes, and brief guidance on treatment, including lifestyle changes and drugs. These participants received routine hypertension care that typically consisted of clinic BP monitoring to titrate drugs, with appointments and drug changes made at the discretion of the general practitioner. Participants were not prevented from self-monitoring, but data on self-monitoring practices were collected at the end of the trial from patients and practitioners.

Measures and analysis. The primary outcome measure was the difference in systolic BP at 12-month follow-up between the intervention and usual care groups (adjusting for baseline BP, practice, BP target levels, and sex). Secondary outcomes included systolic and diastolic BP at 6 and 12 months, weight, modified patient enablement instrument, drug adherence, health-related quality of life, and side effects from the symptoms section of an adjusted illness perceptions questionnaire. At trial, registration participants and general practitioners were asked about their use of self-monitoring in the usual care group.

The primary analysis used general linear modelling to compare systolic BP in the intervention and usual care groups at follow-up, adjusting for baseline BP, practice (as a random effect to take into account clustering), BP target levels, and sex. Analyses were on an intention-to-treat basis and used multiple imputation for missing data. Sensitivity analyses used complete cases and a repeated measures technique. Secondary analyses used similar techniques to assess differences between groups. A within-trial economic analysis estimated cost per unit reduction in systolic BP by using similar adjustments and multiple imputation for missing values. Repeated bootstrapping was used to estimate the probability of the intervention being cost-effective at different levels of willingness to pay per unit reduction in BP.

Main results. The intervention and usual care groups did not differ significantly – participants had a mean age of 66 years and mean baseline clinical BP of 151.6/85.3 mm Hg and 151.7/86.4 mm Hg (usual care and intervention, respectively). Most participants were White British (94%), just more than half were men, and the time since diagnosis averaged around 11 years. The most deprived group (based on the English Index of Multiple Deprivation) accounted for 63/622 (10%), with the least deprived group accounting for 326/622 (52%).

After 1 year, data were available from 552 participants (88.6%) with imputation for the remaining 70 participants (11.4%). Mean BP dropped from 151.7/86.4 to 138.4/80.2 mm Hg in the intervention group and from 151.6/85.3 to 141.8/79.8 mm Hg in the usual care group, giving a mean difference in systolic BP of −3.4 mm Hg (95% CI −6.1 to −0.8 mm Hg) and a mean difference in diastolic BP of −0.5 mm Hg (−1.9 to 0.9 mm Hg). Exploratory subgroup analyses suggested that participants aged 67 years or older had a smaller effect size than those younger than 67. Similarly, while the effect sizes in the standard and diabetes target groups were similar, those older than 80 years with a higher target of 145/85 mm Hg showed little evidence of benefit. Results for other subgroups, including sex, baseline BP, deprivation, and history of self-monitoring, were similar between groups.

Engagement with the digital intervention was high, with 281/305 (92%) participants completing the 2 core training sessions, 268/305 (88%) completing a week of practice BP readings, and 243/305 (80%) completing at least 3 weeks of BP entries. Furthermore, 214/305 (70%) were still monitoring in the last 3 months of participation. However, less than 1/3 of participants chose to register on 1 of the optional lifestyle change modules. In the usual care group, a post-hoc analysis after 12 months showed that 112/234 (47%) patients reported monitoring their own BP at home at least once per month during the trial.

The difference in mean cost per patient was £38 (US $51.30, €41.9; 95% CI £27 to £47), which along with the decrease in systolic BP, gave an incremental cost per mm Hg BP reduction of £11 (£6 to £29). Bootstrapping analysis showed the intervention had high (90%) probability of being cost-effective at willingness to pay above £20 per unit reduction. The probabilities of being cost-effective for the intervention against usual care were 87%, 93%, and 97% at thresholds of £20, £30, and £50, respectively.

Conclusion. The HOME BP digital intervention for the management of hypertension by using self-monitored BP led to better control of systolic BP after 1 year than usual care, with low incremental costs. Implementation in primary care will require integration into clinical workflows and consideration of people who are digitally excluded.

Commentary

Elevated BP, also known as hypertension, is the most important, modifiable risk factor for cardiovascular disease and mortality.¹ Clinically significant effects and improvements in mortality can be achieved with relatively small reductions in BP levels. Long-established lifestyle modifications that effectively lower BP include weight loss, reduced sodium intake, increased physical activity, and limited alcohol intake. However, motivating patients to achieve lifestyle modifications is among the most difficult aspects of managing hypertension. Importantly, for individuals taking antihypertensive medication, lifestyle modification is recommended as adjunctive therapy to reduce BP. Given that target blood pressure levels are reached for less than half of adults, novel interventions are needed to improve BP control – in particular, individualized cognitive behavioral interventions are more likely to be effective than standardized, single-component interventions.

Guided self-management for hypertension as part of systematic, planned care offers the potential for improvements in adherence and in turn improved long-term patient outcomes.² Self-management can encompass a wide range of behaviors in addition to medication titration and monitoring of symptoms, such as individuals’ ability to manage physical, psychosocial and lifestyle behaviors related to their condition.³ Digital interventions leveraging apps, software, and/or technologies in particular have the potential to support people in self-management, allow for remote monitoring, and enable personalized and adaptive strategies for chronic disease management.^4-5 An example of a digital intervention in the context of guided self-management for hypertension can be a web-based program delivered by computer or phone that combines health information with decision support to help inform behavior change in patients and remote monitoring of patient status by health professionals. Well-designed digital interventions can effectively change patient health-related behaviors, improve patient knowledge and confidence for self-management of health, and lead to better health outcomes.^6-7

This study adds to the literature as a large, randomized controlled trial evaluating the effectiveness of a digital intervention in the field of hypertension and with follow-up for a year. The authors highlight that relatively few studies have been performed that combine self-monitoring with a digitally delivered cointervention, and none has shown a major effect in an adequately powered trial over a year. Results from this study showed that HOME BP, a digital intervention enabling self-management of hypertension, including self-monitoring, titration based on self-monitored BP, lifestyle advice, and behavioral support for patients and health care professionals, resulted in a worthwhile reduction of systolic BP. In addition, this reduction was achieved at modest cost based on the within trial cost effectiveness analysis.

There are many important strengths of this study, especially related to the design and analysis strategy, and some limitations. This study was designed as a randomized controlled trial with a 1 year follow-up period, although participants were unmasked to the group they were randomized to, which may have impacted their behaviors while in the study. As the authors state, the study was not only adequately powered to detect a difference in blood pressure, but also over-recruitment ensured such an effect was not missed. Recruiting from a large number of general practices ensured generalizability in terms of health care professionals. Importantly, while study participants mostly identified as predominantly White and tended to be of higher socioeconomic status, this is representative of the aged population in England and Wales. Nevertheless, generalizability of findings from this study is still limited to the demographic characteristics of the study population. Other strengths included inclusion of intention-to-treat analysis, multiple imputation for missing data, sensitivity analysis, as well as economic analysis and cost effectiveness analysis.

Of note, results from the study are only attributable to the digital interventions used in this study (digital web-based with limited mechanisms of behavior change and engagement built-in) and thus should not be generalized to all digital interventions for managing hypertension. Also, as the authors highlight, the relative importance of the different parts of the digital intervention were unable to be distinguished, although this type of analysis is important in multicomponent interventions to better understand the most effective mechanism impacting change in the primary outcome.

Applications for Clinical Practice

Results of this study demonstrated that among participants being treated with hypertension, those engaged with the HOME BP digital intervention (combining self-monitoring of blood pressure with guided self-management) had better control of systolic BP after 1 year compared to participants receiving usual care. While these findings have important implications in the management of hypertension in health care systems, its integration into clinical workflow, sustainability, long-term clinical effectiveness, and effectiveness among diverse populations is unclear. However, clinicians can still encourage and support the use of evidence-based digital tools for patient self-monitoring of BP and guided-management of lifestyle modifications to lower BP. Additionally, clinicians can proactively propose incorporating evidence-based digital interventions like HOME BP into routine clinical practice guidelines.

Financial disclosures: None.

Study Overview

Objective. To evaluate whether a digital intervention comprising self-monitoring of blood pressure (BP) with reminders and predetermined drug changes combined with lifestyle change support resulted in lower systolic BP in people receiving treatment for hypertension that was poorly controlled, and whether this approach was cost effective.

Design. Unmasked randomized controlled trial.

Settings and participants. Eligible participants were identified from clinical codes recorded in the electronic health records of 76 collaborating general practices from the National Institute for Health Research Clinical Research Network, a United Kingdom government agency. The practices sent invitation letters to eligible participants to come to the clinic to establish eligibility, take consent, and collect baseline data via online questionnaires.

Eligible participants were aged 18 years or older with treated hypertension, a mean baseline BP reading of more than 140/90 mm Hg and were taking no more than 3 antihypertensive drugs. Participants also needed to be willing to self-monitor and have access to the internet (with support from a family member if needed). Exclusions included BP greater than 180/110 mm Hg, atrial fibrillation, hypertension not managed by their general practitioner, chronic kidney disease stage 4-5, postural hypotension (> 20 mm Hg systolic drop), an acute cardiovascular event in the previous 3 months, terminal disease, or another condition which in the opinion of their general practitioner made participation inappropriate.

Of the 11 399 invitation letters sent out, 1389 (12%) potential participants responded positively and were screened for eligibility. Those who declined to take part could optionally give their reasons, and responses were gained from 2426 of 10 010 (24%). The mean age of those who gave a reason for declining was 73 years. The most commonly selected reasons for declining were not having access to the internet (982, 41%), not wanting to participate in a research trial (617, 25%) or an internet study (543, 22%), and not wanting to change drugs (535, 22%). Of the 1389 screened, 734 were ineligible, and 33 did not complete baseline measures and randomization. The remaining 622 people who were randomized in a 1:1 ratio to receive the HOME BP intervention (n = 305) or usual care (n = 317).

Intervention vs usual care. The HOME BP intervention for the self-management of high BP consisted of an integrated patient and health care practitioner online digital intervention, BP self-monitoring (using an Omron M3 monitor), health care practitioner directed and supervised titration of antihypertensive drugs, and user-selected lifestyle modifications. Participants were advised via automated email reminders to take 2 morning BP readings for 7 days each month and to enter online each second reading. Mean home BP was calculated, accompanied by feedback of BP results to both patients and professionals with optional evidence-based lifestyle advice (for healthy eating, physical activity, losing weight if appropriate, and salt and alcohol reduction) and motivational support through practice nurses or health care assistances (using the CARE approach – congratulate, ask, reassure, encourage).

Participants allocated to usual care were not provided with self-monitoring equipment or the HOME BP intervention but had online access to the information provided in a patient leaflet for hypertension. This information comprised definitions of hypertension, causes, and brief guidance on treatment, including lifestyle changes and drugs. These participants received routine hypertension care that typically consisted of clinic BP monitoring to titrate drugs, with appointments and drug changes made at the discretion of the general practitioner. Participants were not prevented from self-monitoring, but data on self-monitoring practices were collected at the end of the trial from patients and practitioners.

Measures and analysis. The primary outcome measure was the difference in systolic BP at 12-month follow-up between the intervention and usual care groups (adjusting for baseline BP, practice, BP target levels, and sex). Secondary outcomes included systolic and diastolic BP at 6 and 12 months, weight, modified patient enablement instrument, drug adherence, health-related quality of life, and side effects from the symptoms section of an adjusted illness perceptions questionnaire. At trial, registration participants and general practitioners were asked about their use of self-monitoring in the usual care group.

The primary analysis used general linear modelling to compare systolic BP in the intervention and usual care groups at follow-up, adjusting for baseline BP, practice (as a random effect to take into account clustering), BP target levels, and sex. Analyses were on an intention-to-treat basis and used multiple imputation for missing data. Sensitivity analyses used complete cases and a repeated measures technique. Secondary analyses used similar techniques to assess differences between groups. A within-trial economic analysis estimated cost per unit reduction in systolic BP by using similar adjustments and multiple imputation for missing values. Repeated bootstrapping was used to estimate the probability of the intervention being cost-effective at different levels of willingness to pay per unit reduction in BP.

Main results. The intervention and usual care groups did not differ significantly – participants had a mean age of 66 years and mean baseline clinical BP of 151.6/85.3 mm Hg and 151.7/86.4 mm Hg (usual care and intervention, respectively). Most participants were White British (94%), just more than half were men, and the time since diagnosis averaged around 11 years. The most deprived group (based on the English Index of Multiple Deprivation) accounted for 63/622 (10%), with the least deprived group accounting for 326/622 (52%).

After 1 year, data were available from 552 participants (88.6%) with imputation for the remaining 70 participants (11.4%). Mean BP dropped from 151.7/86.4 to 138.4/80.2 mm Hg in the intervention group and from 151.6/85.3 to 141.8/79.8 mm Hg in the usual care group, giving a mean difference in systolic BP of −3.4 mm Hg (95% CI −6.1 to −0.8 mm Hg) and a mean difference in diastolic BP of −0.5 mm Hg (−1.9 to 0.9 mm Hg). Exploratory subgroup analyses suggested that participants aged 67 years or older had a smaller effect size than those younger than 67. Similarly, while the effect sizes in the standard and diabetes target groups were similar, those older than 80 years with a higher target of 145/85 mm Hg showed little evidence of benefit. Results for other subgroups, including sex, baseline BP, deprivation, and history of self-monitoring, were similar between groups.

Engagement with the digital intervention was high, with 281/305 (92%) participants completing the 2 core training sessions, 268/305 (88%) completing a week of practice BP readings, and 243/305 (80%) completing at least 3 weeks of BP entries. Furthermore, 214/305 (70%) were still monitoring in the last 3 months of participation. However, less than 1/3 of participants chose to register on 1 of the optional lifestyle change modules. In the usual care group, a post-hoc analysis after 12 months showed that 112/234 (47%) patients reported monitoring their own BP at home at least once per month during the trial.

The difference in mean cost per patient was £38 (US $51.30, €41.9; 95% CI £27 to £47), which along with the decrease in systolic BP, gave an incremental cost per mm Hg BP reduction of £11 (£6 to £29). Bootstrapping analysis showed the intervention had high (90%) probability of being cost-effective at willingness to pay above £20 per unit reduction. The probabilities of being cost-effective for the intervention against usual care were 87%, 93%, and 97% at thresholds of £20, £30, and £50, respectively.

Conclusion. The HOME BP digital intervention for the management of hypertension by using self-monitored BP led to better control of systolic BP after 1 year than usual care, with low incremental costs. Implementation in primary care will require integration into clinical workflows and consideration of people who are digitally excluded.

Commentary

Elevated BP, also known as hypertension, is the most important, modifiable risk factor for cardiovascular disease and mortality.¹ Clinically significant effects and improvements in mortality can be achieved with relatively small reductions in BP levels. Long-established lifestyle modifications that effectively lower BP include weight loss, reduced sodium intake, increased physical activity, and limited alcohol intake. However, motivating patients to achieve lifestyle modifications is among the most difficult aspects of managing hypertension. Importantly, for individuals taking antihypertensive medication, lifestyle modification is recommended as adjunctive therapy to reduce BP. Given that target blood pressure levels are reached for less than half of adults, novel interventions are needed to improve BP control – in particular, individualized cognitive behavioral interventions are more likely to be effective than standardized, single-component interventions.

Guided self-management for hypertension as part of systematic, planned care offers the potential for improvements in adherence and in turn improved long-term patient outcomes.² Self-management can encompass a wide range of behaviors in addition to medication titration and monitoring of symptoms, such as individuals’ ability to manage physical, psychosocial and lifestyle behaviors related to their condition.³ Digital interventions leveraging apps, software, and/or technologies in particular have the potential to support people in self-management, allow for remote monitoring, and enable personalized and adaptive strategies for chronic disease management.^4-5 An example of a digital intervention in the context of guided self-management for hypertension can be a web-based program delivered by computer or phone that combines health information with decision support to help inform behavior change in patients and remote monitoring of patient status by health professionals. Well-designed digital interventions can effectively change patient health-related behaviors, improve patient knowledge and confidence for self-management of health, and lead to better health outcomes.^6-7

This study adds to the literature as a large, randomized controlled trial evaluating the effectiveness of a digital intervention in the field of hypertension and with follow-up for a year. The authors highlight that relatively few studies have been performed that combine self-monitoring with a digitally delivered cointervention, and none has shown a major effect in an adequately powered trial over a year. Results from this study showed that HOME BP, a digital intervention enabling self-management of hypertension, including self-monitoring, titration based on self-monitored BP, lifestyle advice, and behavioral support for patients and health care professionals, resulted in a worthwhile reduction of systolic BP. In addition, this reduction was achieved at modest cost based on the within trial cost effectiveness analysis.

There are many important strengths of this study, especially related to the design and analysis strategy, and some limitations. This study was designed as a randomized controlled trial with a 1 year follow-up period, although participants were unmasked to the group they were randomized to, which may have impacted their behaviors while in the study. As the authors state, the study was not only adequately powered to detect a difference in blood pressure, but also over-recruitment ensured such an effect was not missed. Recruiting from a large number of general practices ensured generalizability in terms of health care professionals. Importantly, while study participants mostly identified as predominantly White and tended to be of higher socioeconomic status, this is representative of the aged population in England and Wales. Nevertheless, generalizability of findings from this study is still limited to the demographic characteristics of the study population. Other strengths included inclusion of intention-to-treat analysis, multiple imputation for missing data, sensitivity analysis, as well as economic analysis and cost effectiveness analysis.

Of note, results from the study are only attributable to the digital interventions used in this study (digital web-based with limited mechanisms of behavior change and engagement built-in) and thus should not be generalized to all digital interventions for managing hypertension. Also, as the authors highlight, the relative importance of the different parts of the digital intervention were unable to be distinguished, although this type of analysis is important in multicomponent interventions to better understand the most effective mechanism impacting change in the primary outcome.

Applications for Clinical Practice

Results of this study demonstrated that among participants being treated with hypertension, those engaged with the HOME BP digital intervention (combining self-monitoring of blood pressure with guided self-management) had better control of systolic BP after 1 year compared to participants receiving usual care. While these findings have important implications in the management of hypertension in health care systems, its integration into clinical workflow, sustainability, long-term clinical effectiveness, and effectiveness among diverse populations is unclear. However, clinicians can still encourage and support the use of evidence-based digital tools for patient self-monitoring of BP and guided-management of lifestyle modifications to lower BP. Additionally, clinicians can proactively propose incorporating evidence-based digital interventions like HOME BP into routine clinical practice guidelines.

Financial disclosures: None.

In a recent inpatient service block, I was seeing patients alongside a resident I had gotten to know well. We were consulted on a patient with metastatic head and neck cancer who had not sought care for over a year.

When the patient presented, his voice was raspy and he could not swallow. He had lost 40 pounds. In addition to his locally advanced disease, his lungs were riddled with metastatic lesions.

When we left the room, the resident and I went to speak to the patient’s primary team, and he began to relay our recommendations.

The first words out of his mouth were, “Well, it’s pretty clear he’s going to die.”

The statement took me aback. I wasn’t alarmed by the accuracy of what he had said. The patient was obviously not doing well, and he ended up dying soon after this visit.

It was more the abrupt manner in which the resident had spoken about death. The brusque phrasing felt atypical coming from the otherwise gentle-hearted trainee. He wasn’t referring to a faceless person. We had just seen the man a few minutes ago and heard his personal struggles. I tried to see if anyone else on the team was caught off guard, but everyone was taking notes or continuing to listen, seemingly undeterred.
 

Oncologists’ ‘locker room talk’

I’ve noticed that “locker room talk” about death happens often. Phrases like “he’s definitely not going to do well” and “his life expectancy is poor” make their way into oncologists’ daily language. Thinking back on my own interactions, I realize I am also guilty of discussing death in this way.

And now, with the COVID pandemic forcing most of our tumor boards to go virtual, I find this locker room talk comes even more readily; phrases like “this patient is going to die” are often passed around flippantly, as if saying so will help ease the tension. During these interactions, my colleagues and I rarely acknowledge the seriousness of what a patient death will do to their family and loved ones – or what losing a patient whom we’ve known for years may do to our own psyche.

This language can even creep into how we speak with patients. We are often taught to offer prognoses coldly, ensuring that patients have a clear sense of how long they have left and to help inform their treatment choices. And yet, this training does not necessarily align with what patients want and need. For instance, in a recent survey of patients with chronic obstructive pulmonary disease, patients consistently rated physicians poorly at discussing prognosis, what dying might be like, as well as spirituality and religion.

But at the same time, these matter-of-fact statements about death probably help protect us. Death is a routine, inevitable part of an oncologist’s life, and over time, oncology training and practice hardens us to it. During medical school, I remember that a patient dying would trigger immediate reflection, sadness, and conversation with our peers. Now, unless I know a patient well, I find myself rarely reflecting on the patient behind the facts. This evolution is natural for an oncologist: If you don’t develop a tough skin about death, you may become overwhelmed with the frequency of it.

The COVID pandemic has amped our hardness toward death into overdrive. Whether we are in the intensive care unit or simply viewing death rates during the most recent COVID Delta wave, many of us cope by disassociating a face from a name.
 

Making time for reflection

But taking time to reflect can be therapeutic.

I recently referred a patient with metastatic prostate cancer for a phase 1 trial at an outside institution. He was one of the first patients in my genitourinary malignancies clinic when I started as an attending. The patient had progressed through several lines of therapy and was being referred for an investigational phase 1 therapy. We had discussed hospice referral, and the patient was ready for it if this therapy didn’t work out.

I did not see or hear from the man while he was on the trial. A few months later, however, the principal investigator of the trial called me to let me know the patient had progressed through the agent, suffering from significant urinary obstruction, and he was on hospice. “Unfortunately,” the investigator told me, “he’s not going to live much longer.”

When I checked in with the hospice, the patient had died.

I was surprised again at how matter-of-fact the discussion of death had been. But I was even more surprised by my own reaction. Despite the relationship I had formed with the patient, I did not feel much when I heard he had died. I didn’t have time to process the news in the moment. It was time to move on to the next patient.

It was only later, when I called the patient’s family, that I allowed my emotions to flood in. I told his family how grateful I was to know him, how strong he’d been. The patient’s family and I talked about the human, not his passing. It felt good.
 

Abandoning locker room talk

So how do we change how we talk about death? I don’t think the answer is massive educational programs or passing responsibility for advance care planning onto palliative care specialists. The change needs to be driven by individual oncologists. We can call out discussions of death that make us uncomfortable, gently reminding each other that we’re talking about a human life.

We can learn from our palliative care colleagues; their conversations about death routinely include a patient’s support system and personal stories. Palliative care doctors always refer to the patient by name, which helps humanize the person behind the chart.

We can emphasize a feeling of hope, a sentiment that may also be therapeutic to our patients. Even when a patient is dying, there is always something to be done. We can comfort their family, explaining what brought us to this point and how sorry we are that this is happening. We can provide options for symptom control and help patients manage those symptoms.

And we can allow ourselves to talk about how much a death affects us. We can acknowledge how much it sucks that a patient is going to die, how challenging that will be to his/her family, and how we wish it could have ended differently.

Subtle changes like these will improve our own ability to process and discuss death and will ultimately lead to better relationships with our patients. But it starts with eliminating the “locker room talk” of how we discuss death.
 

Ravi B. Parikh, MD, MPP, is a medical oncologist and faculty member at the University of Pennsylvania and the Philadelphia VA Medical Center, an adjunct fellow at the Leonard Davis Institute of Health Economics, and senior clinical advisor at the Coalition to Transform Advanced Care (C-TAC). He has served as a director, officer, partner, employee, adviser, consultant, or trustee for GNS Healthcare, Nanology, and Cancer Study Group, and he has received research grant from Embedded Healthcare, Veterans Administration, PCF, National Palliative Care Research Center, and MUSC. A version of this article first appeared on Medscape.com.

In a recent inpatient service block, I was seeing patients alongside a resident I had gotten to know well. We were consulted on a patient with metastatic head and neck cancer who had not sought care for over a year.

When the patient presented, his voice was raspy and he could not swallow. He had lost 40 pounds. In addition to his locally advanced disease, his lungs were riddled with metastatic lesions.

When we left the room, the resident and I went to speak to the patient’s primary team, and he began to relay our recommendations.

The first words out of his mouth were, “Well, it’s pretty clear he’s going to die.”

The statement took me aback. I wasn’t alarmed by the accuracy of what he had said. The patient was obviously not doing well, and he ended up dying soon after this visit.

It was more the abrupt manner in which the resident had spoken about death. The brusque phrasing felt atypical coming from the otherwise gentle-hearted trainee. He wasn’t referring to a faceless person. We had just seen the man a few minutes ago and heard his personal struggles. I tried to see if anyone else on the team was caught off guard, but everyone was taking notes or continuing to listen, seemingly undeterred.
 

Oncologists’ ‘locker room talk’

I’ve noticed that “locker room talk” about death happens often. Phrases like “he’s definitely not going to do well” and “his life expectancy is poor” make their way into oncologists’ daily language. Thinking back on my own interactions, I realize I am also guilty of discussing death in this way.

And now, with the COVID pandemic forcing most of our tumor boards to go virtual, I find this locker room talk comes even more readily; phrases like “this patient is going to die” are often passed around flippantly, as if saying so will help ease the tension. During these interactions, my colleagues and I rarely acknowledge the seriousness of what a patient death will do to their family and loved ones – or what losing a patient whom we’ve known for years may do to our own psyche.

This language can even creep into how we speak with patients. We are often taught to offer prognoses coldly, ensuring that patients have a clear sense of how long they have left and to help inform their treatment choices. And yet, this training does not necessarily align with what patients want and need. For instance, in a recent survey of patients with chronic obstructive pulmonary disease, patients consistently rated physicians poorly at discussing prognosis, what dying might be like, as well as spirituality and religion.

But at the same time, these matter-of-fact statements about death probably help protect us. Death is a routine, inevitable part of an oncologist’s life, and over time, oncology training and practice hardens us to it. During medical school, I remember that a patient dying would trigger immediate reflection, sadness, and conversation with our peers. Now, unless I know a patient well, I find myself rarely reflecting on the patient behind the facts. This evolution is natural for an oncologist: If you don’t develop a tough skin about death, you may become overwhelmed with the frequency of it.

The COVID pandemic has amped our hardness toward death into overdrive. Whether we are in the intensive care unit or simply viewing death rates during the most recent COVID Delta wave, many of us cope by disassociating a face from a name.
 

Making time for reflection

But taking time to reflect can be therapeutic.

I recently referred a patient with metastatic prostate cancer for a phase 1 trial at an outside institution. He was one of the first patients in my genitourinary malignancies clinic when I started as an attending. The patient had progressed through several lines of therapy and was being referred for an investigational phase 1 therapy. We had discussed hospice referral, and the patient was ready for it if this therapy didn’t work out.

I did not see or hear from the man while he was on the trial. A few months later, however, the principal investigator of the trial called me to let me know the patient had progressed through the agent, suffering from significant urinary obstruction, and he was on hospice. “Unfortunately,” the investigator told me, “he’s not going to live much longer.”

When I checked in with the hospice, the patient had died.

I was surprised again at how matter-of-fact the discussion of death had been. But I was even more surprised by my own reaction. Despite the relationship I had formed with the patient, I did not feel much when I heard he had died. I didn’t have time to process the news in the moment. It was time to move on to the next patient.

It was only later, when I called the patient’s family, that I allowed my emotions to flood in. I told his family how grateful I was to know him, how strong he’d been. The patient’s family and I talked about the human, not his passing. It felt good.
 

Abandoning locker room talk

So how do we change how we talk about death? I don’t think the answer is massive educational programs or passing responsibility for advance care planning onto palliative care specialists. The change needs to be driven by individual oncologists. We can call out discussions of death that make us uncomfortable, gently reminding each other that we’re talking about a human life.

We can learn from our palliative care colleagues; their conversations about death routinely include a patient’s support system and personal stories. Palliative care doctors always refer to the patient by name, which helps humanize the person behind the chart.

We can emphasize a feeling of hope, a sentiment that may also be therapeutic to our patients. Even when a patient is dying, there is always something to be done. We can comfort their family, explaining what brought us to this point and how sorry we are that this is happening. We can provide options for symptom control and help patients manage those symptoms.

And we can allow ourselves to talk about how much a death affects us. We can acknowledge how much it sucks that a patient is going to die, how challenging that will be to his/her family, and how we wish it could have ended differently.

Subtle changes like these will improve our own ability to process and discuss death and will ultimately lead to better relationships with our patients. But it starts with eliminating the “locker room talk” of how we discuss death.
 

Ravi B. Parikh, MD, MPP, is a medical oncologist and faculty member at the University of Pennsylvania and the Philadelphia VA Medical Center, an adjunct fellow at the Leonard Davis Institute of Health Economics, and senior clinical advisor at the Coalition to Transform Advanced Care (C-TAC). He has served as a director, officer, partner, employee, adviser, consultant, or trustee for GNS Healthcare, Nanology, and Cancer Study Group, and he has received research grant from Embedded Healthcare, Veterans Administration, PCF, National Palliative Care Research Center, and MUSC. A version of this article first appeared on Medscape.com.

In a recent inpatient service block, I was seeing patients alongside a resident I had gotten to know well. We were consulted on a patient with metastatic head and neck cancer who had not sought care for over a year.

When the patient presented, his voice was raspy and he could not swallow. He had lost 40 pounds. In addition to his locally advanced disease, his lungs were riddled with metastatic lesions.

When we left the room, the resident and I went to speak to the patient’s primary team, and he began to relay our recommendations.

The first words out of his mouth were, “Well, it’s pretty clear he’s going to die.”

The statement took me aback. I wasn’t alarmed by the accuracy of what he had said. The patient was obviously not doing well, and he ended up dying soon after this visit.

It was more the abrupt manner in which the resident had spoken about death. The brusque phrasing felt atypical coming from the otherwise gentle-hearted trainee. He wasn’t referring to a faceless person. We had just seen the man a few minutes ago and heard his personal struggles. I tried to see if anyone else on the team was caught off guard, but everyone was taking notes or continuing to listen, seemingly undeterred.
 

Oncologists’ ‘locker room talk’

I’ve noticed that “locker room talk” about death happens often. Phrases like “he’s definitely not going to do well” and “his life expectancy is poor” make their way into oncologists’ daily language. Thinking back on my own interactions, I realize I am also guilty of discussing death in this way.

And now, with the COVID pandemic forcing most of our tumor boards to go virtual, I find this locker room talk comes even more readily; phrases like “this patient is going to die” are often passed around flippantly, as if saying so will help ease the tension. During these interactions, my colleagues and I rarely acknowledge the seriousness of what a patient death will do to their family and loved ones – or what losing a patient whom we’ve known for years may do to our own psyche.

This language can even creep into how we speak with patients. We are often taught to offer prognoses coldly, ensuring that patients have a clear sense of how long they have left and to help inform their treatment choices. And yet, this training does not necessarily align with what patients want and need. For instance, in a recent survey of patients with chronic obstructive pulmonary disease, patients consistently rated physicians poorly at discussing prognosis, what dying might be like, as well as spirituality and religion.

But at the same time, these matter-of-fact statements about death probably help protect us. Death is a routine, inevitable part of an oncologist’s life, and over time, oncology training and practice hardens us to it. During medical school, I remember that a patient dying would trigger immediate reflection, sadness, and conversation with our peers. Now, unless I know a patient well, I find myself rarely reflecting on the patient behind the facts. This evolution is natural for an oncologist: If you don’t develop a tough skin about death, you may become overwhelmed with the frequency of it.

The COVID pandemic has amped our hardness toward death into overdrive. Whether we are in the intensive care unit or simply viewing death rates during the most recent COVID Delta wave, many of us cope by disassociating a face from a name.
 

Making time for reflection

But taking time to reflect can be therapeutic.

I recently referred a patient with metastatic prostate cancer for a phase 1 trial at an outside institution. He was one of the first patients in my genitourinary malignancies clinic when I started as an attending. The patient had progressed through several lines of therapy and was being referred for an investigational phase 1 therapy. We had discussed hospice referral, and the patient was ready for it if this therapy didn’t work out.

I did not see or hear from the man while he was on the trial. A few months later, however, the principal investigator of the trial called me to let me know the patient had progressed through the agent, suffering from significant urinary obstruction, and he was on hospice. “Unfortunately,” the investigator told me, “he’s not going to live much longer.”

When I checked in with the hospice, the patient had died.

I was surprised again at how matter-of-fact the discussion of death had been. But I was even more surprised by my own reaction. Despite the relationship I had formed with the patient, I did not feel much when I heard he had died. I didn’t have time to process the news in the moment. It was time to move on to the next patient.

It was only later, when I called the patient’s family, that I allowed my emotions to flood in. I told his family how grateful I was to know him, how strong he’d been. The patient’s family and I talked about the human, not his passing. It felt good.
 

Abandoning locker room talk

So how do we change how we talk about death? I don’t think the answer is massive educational programs or passing responsibility for advance care planning onto palliative care specialists. The change needs to be driven by individual oncologists. We can call out discussions of death that make us uncomfortable, gently reminding each other that we’re talking about a human life.

We can learn from our palliative care colleagues; their conversations about death routinely include a patient’s support system and personal stories. Palliative care doctors always refer to the patient by name, which helps humanize the person behind the chart.

We can emphasize a feeling of hope, a sentiment that may also be therapeutic to our patients. Even when a patient is dying, there is always something to be done. We can comfort their family, explaining what brought us to this point and how sorry we are that this is happening. We can provide options for symptom control and help patients manage those symptoms.

And we can allow ourselves to talk about how much a death affects us. We can acknowledge how much it sucks that a patient is going to die, how challenging that will be to his/her family, and how we wish it could have ended differently.

Subtle changes like these will improve our own ability to process and discuss death and will ultimately lead to better relationships with our patients. But it starts with eliminating the “locker room talk” of how we discuss death.
 

Ravi B. Parikh, MD, MPP, is a medical oncologist and faculty member at the University of Pennsylvania and the Philadelphia VA Medical Center, an adjunct fellow at the Leonard Davis Institute of Health Economics, and senior clinical advisor at the Coalition to Transform Advanced Care (C-TAC). He has served as a director, officer, partner, employee, adviser, consultant, or trustee for GNS Healthcare, Nanology, and Cancer Study Group, and he has received research grant from Embedded Healthcare, Veterans Administration, PCF, National Palliative Care Research Center, and MUSC. A version of this article first appeared on Medscape.com.

Study Overview

Objective. To examine differences in care, specifically hospitalization towards the end of life, among nursing home residents with dementia who were Black compared with those who were White.

Design. Population based cohort study in the US. The study included all decedents with Alzheimer’s disease or related dementia (ADRD) who resided in a nursing home from 2014 to 2017. Decedents from nursing homes were identified by death within 1 day of an identified nursing home stay or within 8 days of a hospital transfer from nursing home. Data were obtained from Minimum Data Set 3.0 (MDS) which contains clinical data from all Medicaid or Medicare certified nursing homes, and from the Medicare Beneficiary Summary File (MBSF) and Medicare Provider and Analysis and Review (MedPAR) which contains hospitalization events for all Medicare Beneficiaries. These files were linked to identify nursing home residents with ADRD who were hospitalized at the end of life. ADRD diagnosis was identified from the chronic condition list from the MBSF and from MDS diagnosis list.

Setting and participants. The study included 665 033 residents from 14 595 nursing homes who died during the study period. Resident race was categorized as White or Black based on the MBSF. Severe cognitive impairment was identified using the MDS that categorized residents as severe or not using the Brief Interview for Mental Status and the Cognitive Performance Scale. The mean (SD) age of the study population was 86.7 (9.2) years for White residents and 82.6 (11.1) years for Black residents. Of the participants, 68.8% and 61.2% were female for Black and White residents, respectively. Approximately 23.4% of White and 32.5% of Black residents had severe cognitive impairment. For nursing home characteristics, 71.5% of the 14 595 nursing homes represented were for profit; average bedside was 109.5 (57.0) and occupancy rate was on average 81.2% (14.3%).

Main outcome measures. The study outcome measure was any hospitalization within 30 days prior to death. The outcome was selected as an indicator of quality of care because as older adults living with ADRD experience progressive worsening of cognitive symptoms, at the end of life when dementia is severe, advance care planning and communication with health care proxies and surrogates often result in coordinated care that avoids acute hospitalizations, which are often burdensome to both patient and family and may yield poorer quality of life.

Main results. The study found that approximately 29.5% of White decedents and 40.7% of Black decedents were hospitalized towards the end of life. Nursing homes with a higher proportion of Black residents were more likely to have residents hospitalized towards the end of life with 35% of residents hospitalized in the highest quartile (27% Black) compared with 17% hospitalized for nursing homes in the lowest quartile (0% Black).After adjusting for covariates, Black residents were 7.9% more likely to be hospitalized in the last 30 days of life compared with White residents. Blacks with severe cognitive impairment has elevated risk of hospitalization by 4.9% when compared with White residents. After accounting for nursing home facility–level characteristics, nursing homes with a low proportion of Black residents had a 5.2% higher risk of hospitalizations compared with nursing homes with no Black residents, and nursing homes with a higher percentage of Black residents had a 13.3% higher risk of hospitalization compared with nursing homes with no Black residents.

Conclusion. Race is associated with care disparities in older nursing home residents with dementia. This study suggests that hospitalization towards the end of life as a quality of care marker differs across nursing homes, and nursing homes with a higher proportion of Black residents were more likely to be hospitalized. This suggests that these nursing homes may have fewer resources and delivered poorer quality of care, and that disparities in health systems or institutions contribute to differences in quality of care for this vulnerable group.

Commentary

Disparities of health status, health care, and affordability across race and ethnicity have persisted throughout the past 20 years.¹ There is further evidence to support systemic differences that can contribute to differences in health outcomes.² Although changes in health care policy such as the Affordable Care Act have expanded health care coverage, and instituted changes that aims to improve health care quality and reduce disparities, it is clear that factors contributing to disparities in care are structural and perhaps systemic. The latest evidence comes in this study that examines racial disparities in health care quality in one of the most vulnerable populations—older adults with Alzheimer’s disease and dementia. The finding that Black nursing home residents, when compared with White residents, often has higher risk of hospitalization at the end of life, even among those with severe dementia where better coordinated care, clear goals of care and perhaps instituting palliative care would result in lower rate of hospitalization. The disparities were observed across nursing homes as well, where nursing homes with higher proportion of Black residents appear to have lower quality of care.

These findings are consistent with prior work that has examined differences in Black and White population on uptake of palliative care, discussion, and the documentation of advance care planning.³ Factors that may contribute to these differences include mistrust of the health care system among minorities, and not being connected to adequate health care resources. Family members and surrogate health care decision makers may consider receiving more aggressive care as advocating for better health care for their family members.⁴ These differences may contribute to the differences in hospitalization rates among residents within the same nursing home; however, the differences between nursing homes even after accounting for individual differences may indicate more widespread systemic differences that is associated with race. Policy changes that will address these differences are needed to level these differences so that quality care can be delivered regardless of race.⁵ For this vulnerable population with a terminal illness, approaches to enhance uptake of palliative approaches and care delivery for dementia patients at terminal stage are needed and understanding and targeting factors that contribute to low uptake of these approaches will enhance end of life care. Understanding the differences in resources and systems of care in nursing homes and perhaps how palliative care is integrated in these settings will be important to address care disparities that occurs across nursing homes.

Applications for Clinical Practice

Clinicians who take care of this population of older adults with advanced dementia should be aware of the potential for racial disparities that may lead to differences in the quality of care. The underlying reasons for these differences could be targeted so that older adults in all racial groups may have equal access to quality care including palliative approaches that avoid aggressive care for terminal illnesses across settings that may yield better care and quality of life. Policy makers and health systems leaders need to consider the current realities with racial disparities that policies need to address these differences so that they may not continue to persist in our systems of care.

Financial disclosures: None.

Study Overview

Objective. To examine differences in care, specifically hospitalization towards the end of life, among nursing home residents with dementia who were Black compared with those who were White.

Design. Population based cohort study in the US. The study included all decedents with Alzheimer’s disease or related dementia (ADRD) who resided in a nursing home from 2014 to 2017. Decedents from nursing homes were identified by death within 1 day of an identified nursing home stay or within 8 days of a hospital transfer from nursing home. Data were obtained from Minimum Data Set 3.0 (MDS) which contains clinical data from all Medicaid or Medicare certified nursing homes, and from the Medicare Beneficiary Summary File (MBSF) and Medicare Provider and Analysis and Review (MedPAR) which contains hospitalization events for all Medicare Beneficiaries. These files were linked to identify nursing home residents with ADRD who were hospitalized at the end of life. ADRD diagnosis was identified from the chronic condition list from the MBSF and from MDS diagnosis list.

Setting and participants. The study included 665 033 residents from 14 595 nursing homes who died during the study period. Resident race was categorized as White or Black based on the MBSF. Severe cognitive impairment was identified using the MDS that categorized residents as severe or not using the Brief Interview for Mental Status and the Cognitive Performance Scale. The mean (SD) age of the study population was 86.7 (9.2) years for White residents and 82.6 (11.1) years for Black residents. Of the participants, 68.8% and 61.2% were female for Black and White residents, respectively. Approximately 23.4% of White and 32.5% of Black residents had severe cognitive impairment. For nursing home characteristics, 71.5% of the 14 595 nursing homes represented were for profit; average bedside was 109.5 (57.0) and occupancy rate was on average 81.2% (14.3%).

Main outcome measures. The study outcome measure was any hospitalization within 30 days prior to death. The outcome was selected as an indicator of quality of care because as older adults living with ADRD experience progressive worsening of cognitive symptoms, at the end of life when dementia is severe, advance care planning and communication with health care proxies and surrogates often result in coordinated care that avoids acute hospitalizations, which are often burdensome to both patient and family and may yield poorer quality of life.

Main results. The study found that approximately 29.5% of White decedents and 40.7% of Black decedents were hospitalized towards the end of life. Nursing homes with a higher proportion of Black residents were more likely to have residents hospitalized towards the end of life with 35% of residents hospitalized in the highest quartile (27% Black) compared with 17% hospitalized for nursing homes in the lowest quartile (0% Black).After adjusting for covariates, Black residents were 7.9% more likely to be hospitalized in the last 30 days of life compared with White residents. Blacks with severe cognitive impairment has elevated risk of hospitalization by 4.9% when compared with White residents. After accounting for nursing home facility–level characteristics, nursing homes with a low proportion of Black residents had a 5.2% higher risk of hospitalizations compared with nursing homes with no Black residents, and nursing homes with a higher percentage of Black residents had a 13.3% higher risk of hospitalization compared with nursing homes with no Black residents.

Conclusion. Race is associated with care disparities in older nursing home residents with dementia. This study suggests that hospitalization towards the end of life as a quality of care marker differs across nursing homes, and nursing homes with a higher proportion of Black residents were more likely to be hospitalized. This suggests that these nursing homes may have fewer resources and delivered poorer quality of care, and that disparities in health systems or institutions contribute to differences in quality of care for this vulnerable group.

Commentary

Disparities of health status, health care, and affordability across race and ethnicity have persisted throughout the past 20 years.¹ There is further evidence to support systemic differences that can contribute to differences in health outcomes.² Although changes in health care policy such as the Affordable Care Act have expanded health care coverage, and instituted changes that aims to improve health care quality and reduce disparities, it is clear that factors contributing to disparities in care are structural and perhaps systemic. The latest evidence comes in this study that examines racial disparities in health care quality in one of the most vulnerable populations—older adults with Alzheimer’s disease and dementia. The finding that Black nursing home residents, when compared with White residents, often has higher risk of hospitalization at the end of life, even among those with severe dementia where better coordinated care, clear goals of care and perhaps instituting palliative care would result in lower rate of hospitalization. The disparities were observed across nursing homes as well, where nursing homes with higher proportion of Black residents appear to have lower quality of care.

These findings are consistent with prior work that has examined differences in Black and White population on uptake of palliative care, discussion, and the documentation of advance care planning.³ Factors that may contribute to these differences include mistrust of the health care system among minorities, and not being connected to adequate health care resources. Family members and surrogate health care decision makers may consider receiving more aggressive care as advocating for better health care for their family members.⁴ These differences may contribute to the differences in hospitalization rates among residents within the same nursing home; however, the differences between nursing homes even after accounting for individual differences may indicate more widespread systemic differences that is associated with race. Policy changes that will address these differences are needed to level these differences so that quality care can be delivered regardless of race.⁵ For this vulnerable population with a terminal illness, approaches to enhance uptake of palliative approaches and care delivery for dementia patients at terminal stage are needed and understanding and targeting factors that contribute to low uptake of these approaches will enhance end of life care. Understanding the differences in resources and systems of care in nursing homes and perhaps how palliative care is integrated in these settings will be important to address care disparities that occurs across nursing homes.

Applications for Clinical Practice

Clinicians who take care of this population of older adults with advanced dementia should be aware of the potential for racial disparities that may lead to differences in the quality of care. The underlying reasons for these differences could be targeted so that older adults in all racial groups may have equal access to quality care including palliative approaches that avoid aggressive care for terminal illnesses across settings that may yield better care and quality of life. Policy makers and health systems leaders need to consider the current realities with racial disparities that policies need to address these differences so that they may not continue to persist in our systems of care.

Financial disclosures: None.

Study Overview

Objective. To examine differences in care, specifically hospitalization towards the end of life, among nursing home residents with dementia who were Black compared with those who were White.

Design. Population based cohort study in the US. The study included all decedents with Alzheimer’s disease or related dementia (ADRD) who resided in a nursing home from 2014 to 2017. Decedents from nursing homes were identified by death within 1 day of an identified nursing home stay or within 8 days of a hospital transfer from nursing home. Data were obtained from Minimum Data Set 3.0 (MDS) which contains clinical data from all Medicaid or Medicare certified nursing homes, and from the Medicare Beneficiary Summary File (MBSF) and Medicare Provider and Analysis and Review (MedPAR) which contains hospitalization events for all Medicare Beneficiaries. These files were linked to identify nursing home residents with ADRD who were hospitalized at the end of life. ADRD diagnosis was identified from the chronic condition list from the MBSF and from MDS diagnosis list.

Setting and participants. The study included 665 033 residents from 14 595 nursing homes who died during the study period. Resident race was categorized as White or Black based on the MBSF. Severe cognitive impairment was identified using the MDS that categorized residents as severe or not using the Brief Interview for Mental Status and the Cognitive Performance Scale. The mean (SD) age of the study population was 86.7 (9.2) years for White residents and 82.6 (11.1) years for Black residents. Of the participants, 68.8% and 61.2% were female for Black and White residents, respectively. Approximately 23.4% of White and 32.5% of Black residents had severe cognitive impairment. For nursing home characteristics, 71.5% of the 14 595 nursing homes represented were for profit; average bedside was 109.5 (57.0) and occupancy rate was on average 81.2% (14.3%).

Main outcome measures. The study outcome measure was any hospitalization within 30 days prior to death. The outcome was selected as an indicator of quality of care because as older adults living with ADRD experience progressive worsening of cognitive symptoms, at the end of life when dementia is severe, advance care planning and communication with health care proxies and surrogates often result in coordinated care that avoids acute hospitalizations, which are often burdensome to both patient and family and may yield poorer quality of life.

Main results. The study found that approximately 29.5% of White decedents and 40.7% of Black decedents were hospitalized towards the end of life. Nursing homes with a higher proportion of Black residents were more likely to have residents hospitalized towards the end of life with 35% of residents hospitalized in the highest quartile (27% Black) compared with 17% hospitalized for nursing homes in the lowest quartile (0% Black).After adjusting for covariates, Black residents were 7.9% more likely to be hospitalized in the last 30 days of life compared with White residents. Blacks with severe cognitive impairment has elevated risk of hospitalization by 4.9% when compared with White residents. After accounting for nursing home facility–level characteristics, nursing homes with a low proportion of Black residents had a 5.2% higher risk of hospitalizations compared with nursing homes with no Black residents, and nursing homes with a higher percentage of Black residents had a 13.3% higher risk of hospitalization compared with nursing homes with no Black residents.

Conclusion. Race is associated with care disparities in older nursing home residents with dementia. This study suggests that hospitalization towards the end of life as a quality of care marker differs across nursing homes, and nursing homes with a higher proportion of Black residents were more likely to be hospitalized. This suggests that these nursing homes may have fewer resources and delivered poorer quality of care, and that disparities in health systems or institutions contribute to differences in quality of care for this vulnerable group.

Commentary

Disparities of health status, health care, and affordability across race and ethnicity have persisted throughout the past 20 years.¹ There is further evidence to support systemic differences that can contribute to differences in health outcomes.² Although changes in health care policy such as the Affordable Care Act have expanded health care coverage, and instituted changes that aims to improve health care quality and reduce disparities, it is clear that factors contributing to disparities in care are structural and perhaps systemic. The latest evidence comes in this study that examines racial disparities in health care quality in one of the most vulnerable populations—older adults with Alzheimer’s disease and dementia. The finding that Black nursing home residents, when compared with White residents, often has higher risk of hospitalization at the end of life, even among those with severe dementia where better coordinated care, clear goals of care and perhaps instituting palliative care would result in lower rate of hospitalization. The disparities were observed across nursing homes as well, where nursing homes with higher proportion of Black residents appear to have lower quality of care.

These findings are consistent with prior work that has examined differences in Black and White population on uptake of palliative care, discussion, and the documentation of advance care planning.³ Factors that may contribute to these differences include mistrust of the health care system among minorities, and not being connected to adequate health care resources. Family members and surrogate health care decision makers may consider receiving more aggressive care as advocating for better health care for their family members.⁴ These differences may contribute to the differences in hospitalization rates among residents within the same nursing home; however, the differences between nursing homes even after accounting for individual differences may indicate more widespread systemic differences that is associated with race. Policy changes that will address these differences are needed to level these differences so that quality care can be delivered regardless of race.⁵ For this vulnerable population with a terminal illness, approaches to enhance uptake of palliative approaches and care delivery for dementia patients at terminal stage are needed and understanding and targeting factors that contribute to low uptake of these approaches will enhance end of life care. Understanding the differences in resources and systems of care in nursing homes and perhaps how palliative care is integrated in these settings will be important to address care disparities that occurs across nursing homes.

Applications for Clinical Practice

Clinicians who take care of this population of older adults with advanced dementia should be aware of the potential for racial disparities that may lead to differences in the quality of care. The underlying reasons for these differences could be targeted so that older adults in all racial groups may have equal access to quality care including palliative approaches that avoid aggressive care for terminal illnesses across settings that may yield better care and quality of life. Policy makers and health systems leaders need to consider the current realities with racial disparities that policies need to address these differences so that they may not continue to persist in our systems of care.

Financial disclosures: None.