Hospital Medicine

Adults admitted to general medical-surgical wards who experience in-hospital deterioration have a disproportionate effect on hospital mortality and length of stay.¹ Not long ago, systematic electronic capture of vital signs—arguably the most important predictors of impending deterioration—was restricted to intensive care units (ICUs). Deployment of comprehensive electronic health records (EHRs) and handheld charting tools have made vital signs data more accessible, expanding the possibilities of early detection.

In this issue, Peelen et al² report their scoping review of contemporary EHR-based predictive models for identifying ward patients at risk for deterioration. They identified 22 publications suitable for review. Impressively, some studies report extraordinary statistical performance, with positive predictive values (PPVs) exceeding 50% and with 12- to 24-hour lead times to prepare a clinician response. However, only five algorithms were implemented in an EHR and only three were used clinically. Peelen et al also quantified 48 barriers to and 54 facilitators of the implementation and use of these models. Improved statistical performance (higher PPVs) compared to manually assigned scores were the most important facilitators, while implementation in the context of daily practice (alarm fatigue, integration with existing workflows) were the most important barriers.

These reports invite an obvious question: If the models are this good, why have we not seen more reports of improved patient outcomes? Based on our own recent experience successfully deploying and evaluating the Advance Alert Monitor Program for early detection in a 21-hospital system,³ we suspect that there are several factors at play. Despite the relative computational ease of developing high-performing predictive models, it can be very challenging to create the right dataset (extracting and formatting data, standardizing variable definitions across different EHR builds). Investigators may also underestimate the difficulty of what can be implemented—and sustained—in real-world clinical practice. We encountered substantial difficulty, for example, around alarm fatigue mitigation and the relationship of alerts to end-of-life decisions. Greater attention to implementation is necessary to advance the field.

We suggest that four critical questions be considered when creating in-hospital predictive models. First, what are the statistical characteristics of a model around the likely clinical decision point? Simply having a high C-statistic is insufficient—what matters is the alert’s PPV at a clinically actionable threshold.⁴ Second, workflow burden—how many alerts per day at my hospital—must be measured, including other processes potentially affected by the new system. Third, will the extra work identify a meaningful proportion of the avoidable bad outcomes? Finally, how will model use affect care of patients near the end of life? Alerts for these patients may not make clinical sense and might even interfere with overall care (eg, by triggering an unwanted ICU transfer).

Implementation requires more than data scientists. Consideration must be given to system governance, predictive model maintenance (models can actually decalibrate over time!), and financing (not just the computation side—someone needs to pay for training clinicians and ensuring proper staffing of the clinical response).

Last, rigorous model evaluation must be undertaken. Given the increasing capabilities of comprehensive EHRs, patient-level randomization is becoming more feasible. But even randomized deployments present challenges. Since ward patients are a heterogeneous population, quantifying process-outcome relationships may be difficult. Alternative approaches to quantification of the impact of bundled interventions may need to be considered—not just for initial deployment, but on an ongoing basis. Peelen et al² have effectively summarized the state of published predictive models, which hold the tantalizing possibility of meaningful improvement: saved lives, decreased morbidity. Now, we must work together to address the identified gaps so that, one day, implementation of real-time models is routine, and the promise of in-hospital predictive analytics is fulfilled.

Adults admitted to general medical-surgical wards who experience in-hospital deterioration have a disproportionate effect on hospital mortality and length of stay.¹ Not long ago, systematic electronic capture of vital signs—arguably the most important predictors of impending deterioration—was restricted to intensive care units (ICUs). Deployment of comprehensive electronic health records (EHRs) and handheld charting tools have made vital signs data more accessible, expanding the possibilities of early detection.

In this issue, Peelen et al² report their scoping review of contemporary EHR-based predictive models for identifying ward patients at risk for deterioration. They identified 22 publications suitable for review. Impressively, some studies report extraordinary statistical performance, with positive predictive values (PPVs) exceeding 50% and with 12- to 24-hour lead times to prepare a clinician response. However, only five algorithms were implemented in an EHR and only three were used clinically. Peelen et al also quantified 48 barriers to and 54 facilitators of the implementation and use of these models. Improved statistical performance (higher PPVs) compared to manually assigned scores were the most important facilitators, while implementation in the context of daily practice (alarm fatigue, integration with existing workflows) were the most important barriers.

These reports invite an obvious question: If the models are this good, why have we not seen more reports of improved patient outcomes? Based on our own recent experience successfully deploying and evaluating the Advance Alert Monitor Program for early detection in a 21-hospital system,³ we suspect that there are several factors at play. Despite the relative computational ease of developing high-performing predictive models, it can be very challenging to create the right dataset (extracting and formatting data, standardizing variable definitions across different EHR builds). Investigators may also underestimate the difficulty of what can be implemented—and sustained—in real-world clinical practice. We encountered substantial difficulty, for example, around alarm fatigue mitigation and the relationship of alerts to end-of-life decisions. Greater attention to implementation is necessary to advance the field.

We suggest that four critical questions be considered when creating in-hospital predictive models. First, what are the statistical characteristics of a model around the likely clinical decision point? Simply having a high C-statistic is insufficient—what matters is the alert’s PPV at a clinically actionable threshold.⁴ Second, workflow burden—how many alerts per day at my hospital—must be measured, including other processes potentially affected by the new system. Third, will the extra work identify a meaningful proportion of the avoidable bad outcomes? Finally, how will model use affect care of patients near the end of life? Alerts for these patients may not make clinical sense and might even interfere with overall care (eg, by triggering an unwanted ICU transfer).

Implementation requires more than data scientists. Consideration must be given to system governance, predictive model maintenance (models can actually decalibrate over time!), and financing (not just the computation side—someone needs to pay for training clinicians and ensuring proper staffing of the clinical response).

Last, rigorous model evaluation must be undertaken. Given the increasing capabilities of comprehensive EHRs, patient-level randomization is becoming more feasible. But even randomized deployments present challenges. Since ward patients are a heterogeneous population, quantifying process-outcome relationships may be difficult. Alternative approaches to quantification of the impact of bundled interventions may need to be considered—not just for initial deployment, but on an ongoing basis. Peelen et al² have effectively summarized the state of published predictive models, which hold the tantalizing possibility of meaningful improvement: saved lives, decreased morbidity. Now, we must work together to address the identified gaps so that, one day, implementation of real-time models is routine, and the promise of in-hospital predictive analytics is fulfilled.

Adults admitted to general medical-surgical wards who experience in-hospital deterioration have a disproportionate effect on hospital mortality and length of stay.¹ Not long ago, systematic electronic capture of vital signs—arguably the most important predictors of impending deterioration—was restricted to intensive care units (ICUs). Deployment of comprehensive electronic health records (EHRs) and handheld charting tools have made vital signs data more accessible, expanding the possibilities of early detection.

In this issue, Peelen et al² report their scoping review of contemporary EHR-based predictive models for identifying ward patients at risk for deterioration. They identified 22 publications suitable for review. Impressively, some studies report extraordinary statistical performance, with positive predictive values (PPVs) exceeding 50% and with 12- to 24-hour lead times to prepare a clinician response. However, only five algorithms were implemented in an EHR and only three were used clinically. Peelen et al also quantified 48 barriers to and 54 facilitators of the implementation and use of these models. Improved statistical performance (higher PPVs) compared to manually assigned scores were the most important facilitators, while implementation in the context of daily practice (alarm fatigue, integration with existing workflows) were the most important barriers.

These reports invite an obvious question: If the models are this good, why have we not seen more reports of improved patient outcomes? Based on our own recent experience successfully deploying and evaluating the Advance Alert Monitor Program for early detection in a 21-hospital system,³ we suspect that there are several factors at play. Despite the relative computational ease of developing high-performing predictive models, it can be very challenging to create the right dataset (extracting and formatting data, standardizing variable definitions across different EHR builds). Investigators may also underestimate the difficulty of what can be implemented—and sustained—in real-world clinical practice. We encountered substantial difficulty, for example, around alarm fatigue mitigation and the relationship of alerts to end-of-life decisions. Greater attention to implementation is necessary to advance the field.

We suggest that four critical questions be considered when creating in-hospital predictive models. First, what are the statistical characteristics of a model around the likely clinical decision point? Simply having a high C-statistic is insufficient—what matters is the alert’s PPV at a clinically actionable threshold.⁴ Second, workflow burden—how many alerts per day at my hospital—must be measured, including other processes potentially affected by the new system. Third, will the extra work identify a meaningful proportion of the avoidable bad outcomes? Finally, how will model use affect care of patients near the end of life? Alerts for these patients may not make clinical sense and might even interfere with overall care (eg, by triggering an unwanted ICU transfer).

Implementation requires more than data scientists. Consideration must be given to system governance, predictive model maintenance (models can actually decalibrate over time!), and financing (not just the computation side—someone needs to pay for training clinicians and ensuring proper staffing of the clinical response).

Last, rigorous model evaluation must be undertaken. Given the increasing capabilities of comprehensive EHRs, patient-level randomization is becoming more feasible. But even randomized deployments present challenges. Since ward patients are a heterogeneous population, quantifying process-outcome relationships may be difficult. Alternative approaches to quantification of the impact of bundled interventions may need to be considered—not just for initial deployment, but on an ongoing basis. Peelen et al² have effectively summarized the state of published predictive models, which hold the tantalizing possibility of meaningful improvement: saved lives, decreased morbidity. Now, we must work together to address the identified gaps so that, one day, implementation of real-time models is routine, and the promise of in-hospital predictive analytics is fulfilled.

In 2016, a study was published that continues to shock observers today.¹ Examining 200 medical trainees, researchers reported that an alarming percentage of these individuals held false beliefs about Black bodies, including 22% believing that nerve endings in Black persons are less sensitive than nerve endings in White persons and 63% believing that Black skin is thicker than White skin. Furthermore, the study found that those who held these false beliefs about biological differences between Black and White individuals were also less likely to recommend pain treatment to Black patients in a follow-up case vignette. Two years later, in an evaluation of racial differences in opioid prescribing in the United States published in Epidemiology, one of the authors suggested, “It’s an extremely rare case where racial biases actually protected the population [Black individuals] being discriminated against.”²

These studies provide the background for the analysis by Rambachan et al³ published in this issue of the Journal of Hospital Medicine. The authors examined a diverse cohort of more than 10,000 patients hospitalized on a general medicine service at an academic medical center in San Francisco from 2012 to 2018. Black patients were significantly less likely to receive an opioid prescription at discharge, and when they did, were discharged on opioids for fewer days than White patients. No other racial group experienced such a disparity, with Asian patients more likely to receive opioids at discharge. Whereas these findings align with myriad studies demonstrating racial disparities in opioid prescribing,⁴ the authors focus on patients admitted to a general medicine service, where most hospitalized patients receive medical care daily.

The authors concede that determining the etiology of these disparities was beyond the scope of their study, yet this is the exact question we must answer today. Why should the color of a patient’s skin continue to determine the type, and duration, of care they receive, especially when treating pain? The authors hypothesize that individual factors such as provider bias and systemic factors, including limited guidelines on pain management, may drive the observed racial inequities. This progression from individual- and institutional- to community- and policy-level determinants offers a useful framework for understanding the drivers of disparities in opioid prescribing. It also provides an agenda for future research that can guide us from simply detecting disparities to understanding and eliminating them. Furthermore, it is important to examine care team provider characteristics, including race/ethnicity, years in practice, education level (eg, resident vs attending),⁵ experience with implicit bias training, and differential referral to specialists, such as pain, palliative care, and addiction providers. Factors associated with the facility where a patient is hospitalized also warrant further exploration, including the diversity of medical and nonmedical staff as well as patients.⁶ Examining these factors will allow us to move closer toward implementing effective interventions that eliminate disparities in pain treatment.

The authors begin to provide us with possible levers to pull to address the inequities in opioid prescribing. They suggest provider-level bias training, improved institutional tracking of disparities, and policy-level solutions to address the persistent dearth of diversity in the healthcare workforce. While these broad solutions may address health disparities across the medical field, targeted solutions are needed to directly address inequities in pain treatment. First, we must explore the reasons for disparities in the prevalence, presentation, and management of pain in Black populations. These reasons may include occupational exposures or injuries, psychological stress (often associated with racism), and a disproportionate presence of chronic medical comorbidities. Second, health systems can implement a standardized system for opioid prescribing, supported by pharmacy expertise and considering clinical diagnoses, to reduce subjectivity associated with determining the appropriateness of an opioid prescription. Third, health systems must improve access to addiction, harm reduction, and pain specialty services to effectively manage comorbid conditions in at-risk patients.⁷ Furthermore, we must look beyond traditional measures of healthcare access, such as insurance coverage, to address social determinants of health, such as distance to pharmacy, housing security, employment status, and experience with the criminal justice system, which may influence a patient’s receipt of a prescription. Finally, as a society, we must prioritize early training of healthcare providers, long before the undergraduate and graduate medical education level, to practice medicine without stigmatizing biases and stereotypes related to drug use in communities of color.⁸

The pattern of racial and ethnic disparities in healthcare has been documented for decades, with an ever-increasing depth of the different ways in which minoritized patients are undertreated. Despite this breadth of research, our understanding of the etiology of these inequities and development and implementation of interventions to reduce them remain limited. Rambachan et al³ do a commendable job highlighting further racial disparities in opioid prescribing in hospitalized patients and provide another opportunity to answer the important questions plaguing health care today: Why do these disparities exist and what can be done to address them? The urgency we take towards answering these questions will confirm our commitment to achieving antiracism in medicine and prioritizing health equity. Black lives are depending on it.

In 2016, a study was published that continues to shock observers today.¹ Examining 200 medical trainees, researchers reported that an alarming percentage of these individuals held false beliefs about Black bodies, including 22% believing that nerve endings in Black persons are less sensitive than nerve endings in White persons and 63% believing that Black skin is thicker than White skin. Furthermore, the study found that those who held these false beliefs about biological differences between Black and White individuals were also less likely to recommend pain treatment to Black patients in a follow-up case vignette. Two years later, in an evaluation of racial differences in opioid prescribing in the United States published in Epidemiology, one of the authors suggested, “It’s an extremely rare case where racial biases actually protected the population [Black individuals] being discriminated against.”²

These studies provide the background for the analysis by Rambachan et al³ published in this issue of the Journal of Hospital Medicine. The authors examined a diverse cohort of more than 10,000 patients hospitalized on a general medicine service at an academic medical center in San Francisco from 2012 to 2018. Black patients were significantly less likely to receive an opioid prescription at discharge, and when they did, were discharged on opioids for fewer days than White patients. No other racial group experienced such a disparity, with Asian patients more likely to receive opioids at discharge. Whereas these findings align with myriad studies demonstrating racial disparities in opioid prescribing,⁴ the authors focus on patients admitted to a general medicine service, where most hospitalized patients receive medical care daily.

The authors concede that determining the etiology of these disparities was beyond the scope of their study, yet this is the exact question we must answer today. Why should the color of a patient’s skin continue to determine the type, and duration, of care they receive, especially when treating pain? The authors hypothesize that individual factors such as provider bias and systemic factors, including limited guidelines on pain management, may drive the observed racial inequities. This progression from individual- and institutional- to community- and policy-level determinants offers a useful framework for understanding the drivers of disparities in opioid prescribing. It also provides an agenda for future research that can guide us from simply detecting disparities to understanding and eliminating them. Furthermore, it is important to examine care team provider characteristics, including race/ethnicity, years in practice, education level (eg, resident vs attending),⁵ experience with implicit bias training, and differential referral to specialists, such as pain, palliative care, and addiction providers. Factors associated with the facility where a patient is hospitalized also warrant further exploration, including the diversity of medical and nonmedical staff as well as patients.⁶ Examining these factors will allow us to move closer toward implementing effective interventions that eliminate disparities in pain treatment.

The authors begin to provide us with possible levers to pull to address the inequities in opioid prescribing. They suggest provider-level bias training, improved institutional tracking of disparities, and policy-level solutions to address the persistent dearth of diversity in the healthcare workforce. While these broad solutions may address health disparities across the medical field, targeted solutions are needed to directly address inequities in pain treatment. First, we must explore the reasons for disparities in the prevalence, presentation, and management of pain in Black populations. These reasons may include occupational exposures or injuries, psychological stress (often associated with racism), and a disproportionate presence of chronic medical comorbidities. Second, health systems can implement a standardized system for opioid prescribing, supported by pharmacy expertise and considering clinical diagnoses, to reduce subjectivity associated with determining the appropriateness of an opioid prescription. Third, health systems must improve access to addiction, harm reduction, and pain specialty services to effectively manage comorbid conditions in at-risk patients.⁷ Furthermore, we must look beyond traditional measures of healthcare access, such as insurance coverage, to address social determinants of health, such as distance to pharmacy, housing security, employment status, and experience with the criminal justice system, which may influence a patient’s receipt of a prescription. Finally, as a society, we must prioritize early training of healthcare providers, long before the undergraduate and graduate medical education level, to practice medicine without stigmatizing biases and stereotypes related to drug use in communities of color.⁸

The pattern of racial and ethnic disparities in healthcare has been documented for decades, with an ever-increasing depth of the different ways in which minoritized patients are undertreated. Despite this breadth of research, our understanding of the etiology of these inequities and development and implementation of interventions to reduce them remain limited. Rambachan et al³ do a commendable job highlighting further racial disparities in opioid prescribing in hospitalized patients and provide another opportunity to answer the important questions plaguing health care today: Why do these disparities exist and what can be done to address them? The urgency we take towards answering these questions will confirm our commitment to achieving antiracism in medicine and prioritizing health equity. Black lives are depending on it.

In 2016, a study was published that continues to shock observers today.¹ Examining 200 medical trainees, researchers reported that an alarming percentage of these individuals held false beliefs about Black bodies, including 22% believing that nerve endings in Black persons are less sensitive than nerve endings in White persons and 63% believing that Black skin is thicker than White skin. Furthermore, the study found that those who held these false beliefs about biological differences between Black and White individuals were also less likely to recommend pain treatment to Black patients in a follow-up case vignette. Two years later, in an evaluation of racial differences in opioid prescribing in the United States published in Epidemiology, one of the authors suggested, “It’s an extremely rare case where racial biases actually protected the population [Black individuals] being discriminated against.”²

These studies provide the background for the analysis by Rambachan et al³ published in this issue of the Journal of Hospital Medicine. The authors examined a diverse cohort of more than 10,000 patients hospitalized on a general medicine service at an academic medical center in San Francisco from 2012 to 2018. Black patients were significantly less likely to receive an opioid prescription at discharge, and when they did, were discharged on opioids for fewer days than White patients. No other racial group experienced such a disparity, with Asian patients more likely to receive opioids at discharge. Whereas these findings align with myriad studies demonstrating racial disparities in opioid prescribing,⁴ the authors focus on patients admitted to a general medicine service, where most hospitalized patients receive medical care daily.

The authors concede that determining the etiology of these disparities was beyond the scope of their study, yet this is the exact question we must answer today. Why should the color of a patient’s skin continue to determine the type, and duration, of care they receive, especially when treating pain? The authors hypothesize that individual factors such as provider bias and systemic factors, including limited guidelines on pain management, may drive the observed racial inequities. This progression from individual- and institutional- to community- and policy-level determinants offers a useful framework for understanding the drivers of disparities in opioid prescribing. It also provides an agenda for future research that can guide us from simply detecting disparities to understanding and eliminating them. Furthermore, it is important to examine care team provider characteristics, including race/ethnicity, years in practice, education level (eg, resident vs attending),⁵ experience with implicit bias training, and differential referral to specialists, such as pain, palliative care, and addiction providers. Factors associated with the facility where a patient is hospitalized also warrant further exploration, including the diversity of medical and nonmedical staff as well as patients.⁶ Examining these factors will allow us to move closer toward implementing effective interventions that eliminate disparities in pain treatment.

The authors begin to provide us with possible levers to pull to address the inequities in opioid prescribing. They suggest provider-level bias training, improved institutional tracking of disparities, and policy-level solutions to address the persistent dearth of diversity in the healthcare workforce. While these broad solutions may address health disparities across the medical field, targeted solutions are needed to directly address inequities in pain treatment. First, we must explore the reasons for disparities in the prevalence, presentation, and management of pain in Black populations. These reasons may include occupational exposures or injuries, psychological stress (often associated with racism), and a disproportionate presence of chronic medical comorbidities. Second, health systems can implement a standardized system for opioid prescribing, supported by pharmacy expertise and considering clinical diagnoses, to reduce subjectivity associated with determining the appropriateness of an opioid prescription. Third, health systems must improve access to addiction, harm reduction, and pain specialty services to effectively manage comorbid conditions in at-risk patients.⁷ Furthermore, we must look beyond traditional measures of healthcare access, such as insurance coverage, to address social determinants of health, such as distance to pharmacy, housing security, employment status, and experience with the criminal justice system, which may influence a patient’s receipt of a prescription. Finally, as a society, we must prioritize early training of healthcare providers, long before the undergraduate and graduate medical education level, to practice medicine without stigmatizing biases and stereotypes related to drug use in communities of color.⁸

The pattern of racial and ethnic disparities in healthcare has been documented for decades, with an ever-increasing depth of the different ways in which minoritized patients are undertreated. Despite this breadth of research, our understanding of the etiology of these inequities and development and implementation of interventions to reduce them remain limited. Rambachan et al³ do a commendable job highlighting further racial disparities in opioid prescribing in hospitalized patients and provide another opportunity to answer the important questions plaguing health care today: Why do these disparities exist and what can be done to address them? The urgency we take towards answering these questions will confirm our commitment to achieving antiracism in medicine and prioritizing health equity. Black lives are depending on it.

“Well begun is half done.” — Aristotle

In the clinical environment, team composition changes frequently and time is limited. As a result, teams often jump directly into patient care, addressing issues related to interpersonal dynamics only after they arise. Team leaders can accelerate the process of forming highly effective teams by deliberately leveraging principles of teaming, or the process of “how to turn a group of strangers into a team.”¹

On the first day with a new team, a common misconception is that teaming will take away time, when in fact it will save time. Investing a few minutes before rounds to clarify roles and expectations can streamline subsequent shared work. For example, an attending might request to accompany residents and medical students for new admissions in the last 2 hours of the workday, rather than following the usual pattern of discussing the case after the team completes a full evaluation on their own. Importantly, attendings should clarify their intent—to preserve learning opportunities while helping teams wrap up on time—and their role, which is to provide real-time feedback, facilitate decision-making, or assist with documentation. This 2-minute upfront investment results in improved team camaraderie, better task coordination, and fewer late days in the hospital.

By integrating a few positively framed, thoughtful questions into introductions, teams may also discover surprising expertise or valuable perspectives that positively impact team performance.² For example, in lieu of questions about level of training or hometown, you might ask, “What is an experience outside the hospital that helps you inside the hospital?” or “What skills allow you to contribute best on teams?” These questions might lead, for example, a medical student to leverage her background in computer science to help her team design new electronic health record shortcuts. Or, they might enable a resident with a personal history of leukemia to help the team communicate with a young patient facing a prolonged hospitalization for a newly diagnosed serious illness. With typical introductions, these opportunities and unexpected solutions can easily be missed.

As part of teaming, members should also explicitly share individual work-style preferences to avoid misunderstandings that may adversely affect subsequent work. On new teams, members—especially trainees—expend considerable energy scrutinizing subtle behaviors, such as a clarifying question or a blank stare, to assess whether their performance is perceived favorably. That energy can be reallocated to more important tasks by encouraging each person to state nuances of their work style that may be misinterpreted. For example, an attending might share, “I ask questions to identify what to teach, not to judge knowledge, so don’t worry about saying you don’t know,” whereas a resident might warn, “I have trouble concentrating when I’m hungry, so I often get impatient if we don’t take a break for lunch.” Without this information, a student might feel unnecessarily embarrassed by an attending on rounds, and an attending might incorrectly interpret a resident’s impatience around lunchtime as a reflection of low commitment. Individual work styles vary, and recognizing these differences upfront allows teams to maintain a sharper focus on more important issues, such as clinical care.

In the hospital, we find ourselves in perpetual motion, with frequent transitions of care and new team members. Teaming offers a concrete method to proactively avoid predictable challenges and to enable teams to become more efficient, effective, and connected. Furthermore, teaming empowers us to substitute the uncertainty of ever-changing teams with the excitement of discovering what each new team can achieve through intentional leadership at the outset.

“Well begun is half done.” — Aristotle

In the clinical environment, team composition changes frequently and time is limited. As a result, teams often jump directly into patient care, addressing issues related to interpersonal dynamics only after they arise. Team leaders can accelerate the process of forming highly effective teams by deliberately leveraging principles of teaming, or the process of “how to turn a group of strangers into a team.”¹

On the first day with a new team, a common misconception is that teaming will take away time, when in fact it will save time. Investing a few minutes before rounds to clarify roles and expectations can streamline subsequent shared work. For example, an attending might request to accompany residents and medical students for new admissions in the last 2 hours of the workday, rather than following the usual pattern of discussing the case after the team completes a full evaluation on their own. Importantly, attendings should clarify their intent—to preserve learning opportunities while helping teams wrap up on time—and their role, which is to provide real-time feedback, facilitate decision-making, or assist with documentation. This 2-minute upfront investment results in improved team camaraderie, better task coordination, and fewer late days in the hospital.

By integrating a few positively framed, thoughtful questions into introductions, teams may also discover surprising expertise or valuable perspectives that positively impact team performance.² For example, in lieu of questions about level of training or hometown, you might ask, “What is an experience outside the hospital that helps you inside the hospital?” or “What skills allow you to contribute best on teams?” These questions might lead, for example, a medical student to leverage her background in computer science to help her team design new electronic health record shortcuts. Or, they might enable a resident with a personal history of leukemia to help the team communicate with a young patient facing a prolonged hospitalization for a newly diagnosed serious illness. With typical introductions, these opportunities and unexpected solutions can easily be missed.

As part of teaming, members should also explicitly share individual work-style preferences to avoid misunderstandings that may adversely affect subsequent work. On new teams, members—especially trainees—expend considerable energy scrutinizing subtle behaviors, such as a clarifying question or a blank stare, to assess whether their performance is perceived favorably. That energy can be reallocated to more important tasks by encouraging each person to state nuances of their work style that may be misinterpreted. For example, an attending might share, “I ask questions to identify what to teach, not to judge knowledge, so don’t worry about saying you don’t know,” whereas a resident might warn, “I have trouble concentrating when I’m hungry, so I often get impatient if we don’t take a break for lunch.” Without this information, a student might feel unnecessarily embarrassed by an attending on rounds, and an attending might incorrectly interpret a resident’s impatience around lunchtime as a reflection of low commitment. Individual work styles vary, and recognizing these differences upfront allows teams to maintain a sharper focus on more important issues, such as clinical care.

In the hospital, we find ourselves in perpetual motion, with frequent transitions of care and new team members. Teaming offers a concrete method to proactively avoid predictable challenges and to enable teams to become more efficient, effective, and connected. Furthermore, teaming empowers us to substitute the uncertainty of ever-changing teams with the excitement of discovering what each new team can achieve through intentional leadership at the outset.

“Well begun is half done.” — Aristotle

In the clinical environment, team composition changes frequently and time is limited. As a result, teams often jump directly into patient care, addressing issues related to interpersonal dynamics only after they arise. Team leaders can accelerate the process of forming highly effective teams by deliberately leveraging principles of teaming, or the process of “how to turn a group of strangers into a team.”¹

On the first day with a new team, a common misconception is that teaming will take away time, when in fact it will save time. Investing a few minutes before rounds to clarify roles and expectations can streamline subsequent shared work. For example, an attending might request to accompany residents and medical students for new admissions in the last 2 hours of the workday, rather than following the usual pattern of discussing the case after the team completes a full evaluation on their own. Importantly, attendings should clarify their intent—to preserve learning opportunities while helping teams wrap up on time—and their role, which is to provide real-time feedback, facilitate decision-making, or assist with documentation. This 2-minute upfront investment results in improved team camaraderie, better task coordination, and fewer late days in the hospital.

By integrating a few positively framed, thoughtful questions into introductions, teams may also discover surprising expertise or valuable perspectives that positively impact team performance.² For example, in lieu of questions about level of training or hometown, you might ask, “What is an experience outside the hospital that helps you inside the hospital?” or “What skills allow you to contribute best on teams?” These questions might lead, for example, a medical student to leverage her background in computer science to help her team design new electronic health record shortcuts. Or, they might enable a resident with a personal history of leukemia to help the team communicate with a young patient facing a prolonged hospitalization for a newly diagnosed serious illness. With typical introductions, these opportunities and unexpected solutions can easily be missed.

As part of teaming, members should also explicitly share individual work-style preferences to avoid misunderstandings that may adversely affect subsequent work. On new teams, members—especially trainees—expend considerable energy scrutinizing subtle behaviors, such as a clarifying question or a blank stare, to assess whether their performance is perceived favorably. That energy can be reallocated to more important tasks by encouraging each person to state nuances of their work style that may be misinterpreted. For example, an attending might share, “I ask questions to identify what to teach, not to judge knowledge, so don’t worry about saying you don’t know,” whereas a resident might warn, “I have trouble concentrating when I’m hungry, so I often get impatient if we don’t take a break for lunch.” Without this information, a student might feel unnecessarily embarrassed by an attending on rounds, and an attending might incorrectly interpret a resident’s impatience around lunchtime as a reflection of low commitment. Individual work styles vary, and recognizing these differences upfront allows teams to maintain a sharper focus on more important issues, such as clinical care.

In the hospital, we find ourselves in perpetual motion, with frequent transitions of care and new team members. Teaming offers a concrete method to proactively avoid predictable challenges and to enable teams to become more efficient, effective, and connected. Furthermore, teaming empowers us to substitute the uncertainty of ever-changing teams with the excitement of discovering what each new team can achieve through intentional leadership at the outset.

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.

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. The objectives of this study were to (1) quantify the frequency of preoperative advance care planning (ACP) discussion and documentation for older adults undergoing major surgery in a national sample, and (2) characterize how surgical patients and their family members considered ACP after postoperative complications.

Design. A secondary analysis of data from a multisite randomized clinical trial testing the effects of a question prompt list intervention (a Question Problem List [QPL] brochure with 11 questions) given to patients aged 60 years or older undergoing high-risk surgery on preoperative communication with their surgeons.

Setting and participants. This multisite randomized controlled trial involved 5 study sites that encompassed distinct US geographic areas, including University of Wisconsin Hospital and Clinics (UWHC), Madison; the University of California, San Francisco, Medical Center (UCSF); Oregon Health & Science University (OHSU), Portland; the University Hospital of Rutgers New Jersey Medical School (Rutgers), Newark; and the Brigham and Women’s Hospital (BWH), Boston, Massachusetts. The study enrolled 40 surgeons who routinely performed high-risk oncological or vascular surgery via purposeful sampling; patients aged 60 years or older with at least 1 comorbidity and an oncological or vascular problem that were treatable with high-risk surgery; and 1 invited family member per enrolled patient to participate in open-ended interviews postsurgery. High-risk surgery was defined as an operation that has a 30-day in-hospital mortality rate greater than or equal to 1%. Data were collected from June 1, 2016, to November 30, 2018.

Main outcome measures. The frequency of preoperative discussions and documentation of ACP was determined. For patients who had major surgery, any mention of ACP (ie, mention of advance directive [AD], health care power of attorney, or preference for limitations of life-sustaining treatments) by the surgeon, patient or family member during the audio recorded, transcribed, and coded preoperative consultation was counted. The presence of a written AD in the medical record at the time of the initial consultation, filed between the consultation and the date of surgery, or added postoperatively, was recorded using a standardized abstraction form. Postoperative treatments administered and complications experienced within 6 weeks after surgery were recorded. Open-ended interviews with patients who experienced significant postoperative complications (eg, prolonged hospitalization > 8 days, intensive care unit stay > 3 days) and their family members were conducted 6 weeks after surgery. Information ascertained during interviews focused on treatment decisions, postoperative experiences, and interpersonal relationships among patients, families, and clinicians. Transcripts of these interviews were then subjected to qualitative content analysis.

Main results. A total of 446 patients were enrolled in the primary study. Of these patients, 213 (122 men [57%]; 91 women [43%]; mean [SD] age, 72 [7] years) underwent major surgery. Only 13 (6.1%) of those who had major surgery had any discussion related to ACP in the preoperative consultation. In this cohort, 141 (66%) patients did not have an AD on file before undergoing major surgery. The presence of AD was not associated with age (60-69 years, 26 [31%]; 70-79 years, 31 [33%]; ≥ 80 years, 15 [42%]; P = .55), number of comorbidities (1, 35 [32%]; 2, 18 [33%]; ≥ 3, 19 [40%]; P = .62), or type of procedure (oncological, 53 [32%]; vascular, 19 [42%]; P = .22). Moreover, there was no difference in preoperative communication about ACP or documentation of an AD for patients who were mailed a QPL brochure compared to those who received usual care (intervention, 38 [35%]; usual care, 34 [33%]; P = .77). Rates of AD documentation were associated with individual study sites with BWH and UWHC having higher rates of documentation (20 [50%] and 27 [44%], respectively) compared to OHSU, UCSF, or Rutgers (7 [17%], 17 [35%], and 1 [5%], respectively). Analysis from the interviews indicated that patients and families felt unprepared for serious surgical complications and had varied interpretations of ACP. Patients with complications were enthusiastic about ACP but did not think it was important to discuss their preferences for life-sustaining treatments with their surgeon preoperatively.

Conclusion. Although surgeons and patients report that they believe ACP is important, preoperative discussion of patient preferences rarely occurs. This study found that the frequency of ACP discussions or AD documentations among older patients undergoing high-risk oncologic or vascular surgery was low. Interventions that are aimed to increase rates of preoperative ACP discussions should be implemented to help prepare patients and their families for difficult decisions in the setting of serious surgical complications and could help decrease postoperative conflicts that result from unclear patient care goals.

Commentary

Surgeons and patients approach surgical interventions with optimistic outlooks while simultaneously preparing for unintended adverse outcomes. For patients, preoperative ACP discussions ease the burden on their families and ensure their wishes and care goals are communicated. For surgeons, these discussions inform them how best to support the values of the patient. Therefore, it is unsurprising that preoperative ACP is viewed favorably by both groups. Given the consensus that ACP is important in the care of older adults undergoing high-risk surgery, one would assume that preoperative ACP discussion is a standard of practice among surgeons and their aging patients. However, in a secondary analysis of a randomized control trial testing a patient-mediated intervention to improve preoperative communication, Kalbfell et al¹ showed that ACP discussions rarely take place prior to major surgery in older adults. This finding highlights the significant discrepancy between the belief that ACP is important, and the actual rate that it is practiced, in older patients undergoing high-risk surgery. This discordance is highly concerning because it suggests that surgeons who provide care to a very vulnerable subset of older patients may overlook an essential aspect of preoperative care and therefore lack a thorough and thoughtful understanding of the patient’s care goals. In practice, this omission can pose significant challenges associated with the surgeon and family’s decisions to use postoperative life-sustaining interventions or to manage unforeseen complications should a patient become unable to make medical decisions.

The barriers to conducting successful ACP discussions between surgeons and patients are multifactorial. Kalbfell et al¹ highlighted several of these barriers, including lack of patient efficacy, physician attitudes, and institutional values in older adults who require major surgeries. The inadequacy of patient efficacy in preoperative ACP is illustrated by findings from the primary, multisite trial of QPL intervention conducted by Schwarze et al. Interestingly, the authors found that patients who did not receive QPL brochure had no ACP discussions, and that QPL implementation did not significantly improve discussion rates despite its intent to encourage these discussions.² Possible explanations for this lack of engagement might be a lack of health literacy or patient efficacy in the study population. Qualitative data from the current study provided further evidence to support these explanations. For instance, some patients provided limited or incomplete information about their wishes for health care management while others felt it was unnecessary to have ACP discussions unless complications arose.¹ However, the latter example counters the purpose of ACP which is to enable patients to make plans about future health care and not reactive to a medical complication or emergency.

Surgeons bear a large responsibility in providing treatments that are consistent with the care goals of the patient. Thus, surgeons play a crucial role in engaging, guiding, and facilitating ACP discussions with patients. This role is even more critical when patients are unable or unwilling to initiate care goal discussions. Physician attitudes towards ACP, therefore, greatly influence the effectiveness of these discussions. In a study of self-administered surveys by vascular, neurologic, and cardiothoracic surgeons, greater than 90% of respondents viewed postoperative life-supporting therapy as necessary, and 54% would decline to operate on patients with an AD limiting life-supporting therapy.³ Moreover, the same study showed that 52% of respondents reported discussing AD before surgery, a figure that exceeded the actual rates at which ACP discussions occur in many other studies. In the current study, Kalbfell et al¹ also found that surgeons viewed ACP discussions largely in the context of AD creation and declined to investigate the full scope of patient preferences. These findings, when combined with other studies that indicate an incomplete understanding of ACP in some surgeons, suggest that not all physicians are able or willing to navigate these sometimes lengthy and difficult conversations with patients. This gap in practice provides opportunities for training in surgical specialties that center on optimizing preoperative ACP discussions to meet the care needs of older patients.

Institutional value and culture are important factors that impact physician behavior and the practice of ACP discussion. In the current study, the authors reported that the majority of ACP discussions were held by a minority of surgeons and that different institutions and study sites had vastly different rates of ACP documentation.¹ These results are further supported by findings of large variations between physicians and hospitals in ACP reporting in hospitalized frail older adults.⁴ These variations in practices at different institutions suggest that it is possible to improve rates of preoperative ACP discussion. Reasons for these differences need to be further investigated in order to identify strategies, resources, or trainings required by medical institutions to support surgeons to carry out ACP discussions with patients undergoing high-risk surgeries.

The study conducted by Kalbfell et al¹ has several strengths. For example, it included Spanish-speaking patients and the use of a Spanish version of the QPL intervention to account for cultural differences. The study also included multiple surgical specialties and institutions and captured a large and national sample, thus making its findings more generalizable. However, the lack of data on the duration of preoperative consultation visits in patients who completed ACP discussions poses a limitation to this study. This is relevant because surgeon availability to engage in lengthy ACP discussions may be limited due to busy clinical schedules. Additional data on the duration of preoperative visits inclusive of a thoughtfully conducted ACP discussion could help to modify clinical workflow to facilitate its uptake in surgical practices.

Applications for Clinical Practice

The findings from the current study indicate that patients and surgeons agree that preoperative ACP discussions are beneficial to the clinical care of older adults before high-risk surgeries. However, these important conversations do not occur frequently. Surgeons and health care institutions need to identify strategies to initiate, facilitate, and optimize productive preoperative ACP discussions to provide patient-centered care in vulnerable older surgical patients.

Financial disclosures: None.

Study Overview

Objective. The objectives of this study were to (1) quantify the frequency of preoperative advance care planning (ACP) discussion and documentation for older adults undergoing major surgery in a national sample, and (2) characterize how surgical patients and their family members considered ACP after postoperative complications.

Design. A secondary analysis of data from a multisite randomized clinical trial testing the effects of a question prompt list intervention (a Question Problem List [QPL] brochure with 11 questions) given to patients aged 60 years or older undergoing high-risk surgery on preoperative communication with their surgeons.

Setting and participants. This multisite randomized controlled trial involved 5 study sites that encompassed distinct US geographic areas, including University of Wisconsin Hospital and Clinics (UWHC), Madison; the University of California, San Francisco, Medical Center (UCSF); Oregon Health & Science University (OHSU), Portland; the University Hospital of Rutgers New Jersey Medical School (Rutgers), Newark; and the Brigham and Women’s Hospital (BWH), Boston, Massachusetts. The study enrolled 40 surgeons who routinely performed high-risk oncological or vascular surgery via purposeful sampling; patients aged 60 years or older with at least 1 comorbidity and an oncological or vascular problem that were treatable with high-risk surgery; and 1 invited family member per enrolled patient to participate in open-ended interviews postsurgery. High-risk surgery was defined as an operation that has a 30-day in-hospital mortality rate greater than or equal to 1%. Data were collected from June 1, 2016, to November 30, 2018.

Main outcome measures. The frequency of preoperative discussions and documentation of ACP was determined. For patients who had major surgery, any mention of ACP (ie, mention of advance directive [AD], health care power of attorney, or preference for limitations of life-sustaining treatments) by the surgeon, patient or family member during the audio recorded, transcribed, and coded preoperative consultation was counted. The presence of a written AD in the medical record at the time of the initial consultation, filed between the consultation and the date of surgery, or added postoperatively, was recorded using a standardized abstraction form. Postoperative treatments administered and complications experienced within 6 weeks after surgery were recorded. Open-ended interviews with patients who experienced significant postoperative complications (eg, prolonged hospitalization > 8 days, intensive care unit stay > 3 days) and their family members were conducted 6 weeks after surgery. Information ascertained during interviews focused on treatment decisions, postoperative experiences, and interpersonal relationships among patients, families, and clinicians. Transcripts of these interviews were then subjected to qualitative content analysis.

Main results. A total of 446 patients were enrolled in the primary study. Of these patients, 213 (122 men [57%]; 91 women [43%]; mean [SD] age, 72 [7] years) underwent major surgery. Only 13 (6.1%) of those who had major surgery had any discussion related to ACP in the preoperative consultation. In this cohort, 141 (66%) patients did not have an AD on file before undergoing major surgery. The presence of AD was not associated with age (60-69 years, 26 [31%]; 70-79 years, 31 [33%]; ≥ 80 years, 15 [42%]; P = .55), number of comorbidities (1, 35 [32%]; 2, 18 [33%]; ≥ 3, 19 [40%]; P = .62), or type of procedure (oncological, 53 [32%]; vascular, 19 [42%]; P = .22). Moreover, there was no difference in preoperative communication about ACP or documentation of an AD for patients who were mailed a QPL brochure compared to those who received usual care (intervention, 38 [35%]; usual care, 34 [33%]; P = .77). Rates of AD documentation were associated with individual study sites with BWH and UWHC having higher rates of documentation (20 [50%] and 27 [44%], respectively) compared to OHSU, UCSF, or Rutgers (7 [17%], 17 [35%], and 1 [5%], respectively). Analysis from the interviews indicated that patients and families felt unprepared for serious surgical complications and had varied interpretations of ACP. Patients with complications were enthusiastic about ACP but did not think it was important to discuss their preferences for life-sustaining treatments with their surgeon preoperatively.

Conclusion. Although surgeons and patients report that they believe ACP is important, preoperative discussion of patient preferences rarely occurs. This study found that the frequency of ACP discussions or AD documentations among older patients undergoing high-risk oncologic or vascular surgery was low. Interventions that are aimed to increase rates of preoperative ACP discussions should be implemented to help prepare patients and their families for difficult decisions in the setting of serious surgical complications and could help decrease postoperative conflicts that result from unclear patient care goals.

Commentary

Surgeons and patients approach surgical interventions with optimistic outlooks while simultaneously preparing for unintended adverse outcomes. For patients, preoperative ACP discussions ease the burden on their families and ensure their wishes and care goals are communicated. For surgeons, these discussions inform them how best to support the values of the patient. Therefore, it is unsurprising that preoperative ACP is viewed favorably by both groups. Given the consensus that ACP is important in the care of older adults undergoing high-risk surgery, one would assume that preoperative ACP discussion is a standard of practice among surgeons and their aging patients. However, in a secondary analysis of a randomized control trial testing a patient-mediated intervention to improve preoperative communication, Kalbfell et al¹ showed that ACP discussions rarely take place prior to major surgery in older adults. This finding highlights the significant discrepancy between the belief that ACP is important, and the actual rate that it is practiced, in older patients undergoing high-risk surgery. This discordance is highly concerning because it suggests that surgeons who provide care to a very vulnerable subset of older patients may overlook an essential aspect of preoperative care and therefore lack a thorough and thoughtful understanding of the patient’s care goals. In practice, this omission can pose significant challenges associated with the surgeon and family’s decisions to use postoperative life-sustaining interventions or to manage unforeseen complications should a patient become unable to make medical decisions.

The barriers to conducting successful ACP discussions between surgeons and patients are multifactorial. Kalbfell et al¹ highlighted several of these barriers, including lack of patient efficacy, physician attitudes, and institutional values in older adults who require major surgeries. The inadequacy of patient efficacy in preoperative ACP is illustrated by findings from the primary, multisite trial of QPL intervention conducted by Schwarze et al. Interestingly, the authors found that patients who did not receive QPL brochure had no ACP discussions, and that QPL implementation did not significantly improve discussion rates despite its intent to encourage these discussions.² Possible explanations for this lack of engagement might be a lack of health literacy or patient efficacy in the study population. Qualitative data from the current study provided further evidence to support these explanations. For instance, some patients provided limited or incomplete information about their wishes for health care management while others felt it was unnecessary to have ACP discussions unless complications arose.¹ However, the latter example counters the purpose of ACP which is to enable patients to make plans about future health care and not reactive to a medical complication or emergency.

Surgeons bear a large responsibility in providing treatments that are consistent with the care goals of the patient. Thus, surgeons play a crucial role in engaging, guiding, and facilitating ACP discussions with patients. This role is even more critical when patients are unable or unwilling to initiate care goal discussions. Physician attitudes towards ACP, therefore, greatly influence the effectiveness of these discussions. In a study of self-administered surveys by vascular, neurologic, and cardiothoracic surgeons, greater than 90% of respondents viewed postoperative life-supporting therapy as necessary, and 54% would decline to operate on patients with an AD limiting life-supporting therapy.³ Moreover, the same study showed that 52% of respondents reported discussing AD before surgery, a figure that exceeded the actual rates at which ACP discussions occur in many other studies. In the current study, Kalbfell et al¹ also found that surgeons viewed ACP discussions largely in the context of AD creation and declined to investigate the full scope of patient preferences. These findings, when combined with other studies that indicate an incomplete understanding of ACP in some surgeons, suggest that not all physicians are able or willing to navigate these sometimes lengthy and difficult conversations with patients. This gap in practice provides opportunities for training in surgical specialties that center on optimizing preoperative ACP discussions to meet the care needs of older patients.

Institutional value and culture are important factors that impact physician behavior and the practice of ACP discussion. In the current study, the authors reported that the majority of ACP discussions were held by a minority of surgeons and that different institutions and study sites had vastly different rates of ACP documentation.¹ These results are further supported by findings of large variations between physicians and hospitals in ACP reporting in hospitalized frail older adults.⁴ These variations in practices at different institutions suggest that it is possible to improve rates of preoperative ACP discussion. Reasons for these differences need to be further investigated in order to identify strategies, resources, or trainings required by medical institutions to support surgeons to carry out ACP discussions with patients undergoing high-risk surgeries.

The study conducted by Kalbfell et al¹ has several strengths. For example, it included Spanish-speaking patients and the use of a Spanish version of the QPL intervention to account for cultural differences. The study also included multiple surgical specialties and institutions and captured a large and national sample, thus making its findings more generalizable. However, the lack of data on the duration of preoperative consultation visits in patients who completed ACP discussions poses a limitation to this study. This is relevant because surgeon availability to engage in lengthy ACP discussions may be limited due to busy clinical schedules. Additional data on the duration of preoperative visits inclusive of a thoughtfully conducted ACP discussion could help to modify clinical workflow to facilitate its uptake in surgical practices.

Applications for Clinical Practice

The findings from the current study indicate that patients and surgeons agree that preoperative ACP discussions are beneficial to the clinical care of older adults before high-risk surgeries. However, these important conversations do not occur frequently. Surgeons and health care institutions need to identify strategies to initiate, facilitate, and optimize productive preoperative ACP discussions to provide patient-centered care in vulnerable older surgical patients.

Financial disclosures: None.

Study Overview

Objective. The objectives of this study were to (1) quantify the frequency of preoperative advance care planning (ACP) discussion and documentation for older adults undergoing major surgery in a national sample, and (2) characterize how surgical patients and their family members considered ACP after postoperative complications.

Design. A secondary analysis of data from a multisite randomized clinical trial testing the effects of a question prompt list intervention (a Question Problem List [QPL] brochure with 11 questions) given to patients aged 60 years or older undergoing high-risk surgery on preoperative communication with their surgeons.

Setting and participants. This multisite randomized controlled trial involved 5 study sites that encompassed distinct US geographic areas, including University of Wisconsin Hospital and Clinics (UWHC), Madison; the University of California, San Francisco, Medical Center (UCSF); Oregon Health & Science University (OHSU), Portland; the University Hospital of Rutgers New Jersey Medical School (Rutgers), Newark; and the Brigham and Women’s Hospital (BWH), Boston, Massachusetts. The study enrolled 40 surgeons who routinely performed high-risk oncological or vascular surgery via purposeful sampling; patients aged 60 years or older with at least 1 comorbidity and an oncological or vascular problem that were treatable with high-risk surgery; and 1 invited family member per enrolled patient to participate in open-ended interviews postsurgery. High-risk surgery was defined as an operation that has a 30-day in-hospital mortality rate greater than or equal to 1%. Data were collected from June 1, 2016, to November 30, 2018.

Main outcome measures. The frequency of preoperative discussions and documentation of ACP was determined. For patients who had major surgery, any mention of ACP (ie, mention of advance directive [AD], health care power of attorney, or preference for limitations of life-sustaining treatments) by the surgeon, patient or family member during the audio recorded, transcribed, and coded preoperative consultation was counted. The presence of a written AD in the medical record at the time of the initial consultation, filed between the consultation and the date of surgery, or added postoperatively, was recorded using a standardized abstraction form. Postoperative treatments administered and complications experienced within 6 weeks after surgery were recorded. Open-ended interviews with patients who experienced significant postoperative complications (eg, prolonged hospitalization > 8 days, intensive care unit stay > 3 days) and their family members were conducted 6 weeks after surgery. Information ascertained during interviews focused on treatment decisions, postoperative experiences, and interpersonal relationships among patients, families, and clinicians. Transcripts of these interviews were then subjected to qualitative content analysis.

Main results. A total of 446 patients were enrolled in the primary study. Of these patients, 213 (122 men [57%]; 91 women [43%]; mean [SD] age, 72 [7] years) underwent major surgery. Only 13 (6.1%) of those who had major surgery had any discussion related to ACP in the preoperative consultation. In this cohort, 141 (66%) patients did not have an AD on file before undergoing major surgery. The presence of AD was not associated with age (60-69 years, 26 [31%]; 70-79 years, 31 [33%]; ≥ 80 years, 15 [42%]; P = .55), number of comorbidities (1, 35 [32%]; 2, 18 [33%]; ≥ 3, 19 [40%]; P = .62), or type of procedure (oncological, 53 [32%]; vascular, 19 [42%]; P = .22). Moreover, there was no difference in preoperative communication about ACP or documentation of an AD for patients who were mailed a QPL brochure compared to those who received usual care (intervention, 38 [35%]; usual care, 34 [33%]; P = .77). Rates of AD documentation were associated with individual study sites with BWH and UWHC having higher rates of documentation (20 [50%] and 27 [44%], respectively) compared to OHSU, UCSF, or Rutgers (7 [17%], 17 [35%], and 1 [5%], respectively). Analysis from the interviews indicated that patients and families felt unprepared for serious surgical complications and had varied interpretations of ACP. Patients with complications were enthusiastic about ACP but did not think it was important to discuss their preferences for life-sustaining treatments with their surgeon preoperatively.

Conclusion. Although surgeons and patients report that they believe ACP is important, preoperative discussion of patient preferences rarely occurs. This study found that the frequency of ACP discussions or AD documentations among older patients undergoing high-risk oncologic or vascular surgery was low. Interventions that are aimed to increase rates of preoperative ACP discussions should be implemented to help prepare patients and their families for difficult decisions in the setting of serious surgical complications and could help decrease postoperative conflicts that result from unclear patient care goals.

Commentary

Surgeons and patients approach surgical interventions with optimistic outlooks while simultaneously preparing for unintended adverse outcomes. For patients, preoperative ACP discussions ease the burden on their families and ensure their wishes and care goals are communicated. For surgeons, these discussions inform them how best to support the values of the patient. Therefore, it is unsurprising that preoperative ACP is viewed favorably by both groups. Given the consensus that ACP is important in the care of older adults undergoing high-risk surgery, one would assume that preoperative ACP discussion is a standard of practice among surgeons and their aging patients. However, in a secondary analysis of a randomized control trial testing a patient-mediated intervention to improve preoperative communication, Kalbfell et al¹ showed that ACP discussions rarely take place prior to major surgery in older adults. This finding highlights the significant discrepancy between the belief that ACP is important, and the actual rate that it is practiced, in older patients undergoing high-risk surgery. This discordance is highly concerning because it suggests that surgeons who provide care to a very vulnerable subset of older patients may overlook an essential aspect of preoperative care and therefore lack a thorough and thoughtful understanding of the patient’s care goals. In practice, this omission can pose significant challenges associated with the surgeon and family’s decisions to use postoperative life-sustaining interventions or to manage unforeseen complications should a patient become unable to make medical decisions.

The barriers to conducting successful ACP discussions between surgeons and patients are multifactorial. Kalbfell et al¹ highlighted several of these barriers, including lack of patient efficacy, physician attitudes, and institutional values in older adults who require major surgeries. The inadequacy of patient efficacy in preoperative ACP is illustrated by findings from the primary, multisite trial of QPL intervention conducted by Schwarze et al. Interestingly, the authors found that patients who did not receive QPL brochure had no ACP discussions, and that QPL implementation did not significantly improve discussion rates despite its intent to encourage these discussions.² Possible explanations for this lack of engagement might be a lack of health literacy or patient efficacy in the study population. Qualitative data from the current study provided further evidence to support these explanations. For instance, some patients provided limited or incomplete information about their wishes for health care management while others felt it was unnecessary to have ACP discussions unless complications arose.¹ However, the latter example counters the purpose of ACP which is to enable patients to make plans about future health care and not reactive to a medical complication or emergency.

Surgeons bear a large responsibility in providing treatments that are consistent with the care goals of the patient. Thus, surgeons play a crucial role in engaging, guiding, and facilitating ACP discussions with patients. This role is even more critical when patients are unable or unwilling to initiate care goal discussions. Physician attitudes towards ACP, therefore, greatly influence the effectiveness of these discussions. In a study of self-administered surveys by vascular, neurologic, and cardiothoracic surgeons, greater than 90% of respondents viewed postoperative life-supporting therapy as necessary, and 54% would decline to operate on patients with an AD limiting life-supporting therapy.³ Moreover, the same study showed that 52% of respondents reported discussing AD before surgery, a figure that exceeded the actual rates at which ACP discussions occur in many other studies. In the current study, Kalbfell et al¹ also found that surgeons viewed ACP discussions largely in the context of AD creation and declined to investigate the full scope of patient preferences. These findings, when combined with other studies that indicate an incomplete understanding of ACP in some surgeons, suggest that not all physicians are able or willing to navigate these sometimes lengthy and difficult conversations with patients. This gap in practice provides opportunities for training in surgical specialties that center on optimizing preoperative ACP discussions to meet the care needs of older patients.

Institutional value and culture are important factors that impact physician behavior and the practice of ACP discussion. In the current study, the authors reported that the majority of ACP discussions were held by a minority of surgeons and that different institutions and study sites had vastly different rates of ACP documentation.¹ These results are further supported by findings of large variations between physicians and hospitals in ACP reporting in hospitalized frail older adults.⁴ These variations in practices at different institutions suggest that it is possible to improve rates of preoperative ACP discussion. Reasons for these differences need to be further investigated in order to identify strategies, resources, or trainings required by medical institutions to support surgeons to carry out ACP discussions with patients undergoing high-risk surgeries.

The study conducted by Kalbfell et al¹ has several strengths. For example, it included Spanish-speaking patients and the use of a Spanish version of the QPL intervention to account for cultural differences. The study also included multiple surgical specialties and institutions and captured a large and national sample, thus making its findings more generalizable. However, the lack of data on the duration of preoperative consultation visits in patients who completed ACP discussions poses a limitation to this study. This is relevant because surgeon availability to engage in lengthy ACP discussions may be limited due to busy clinical schedules. Additional data on the duration of preoperative visits inclusive of a thoughtfully conducted ACP discussion could help to modify clinical workflow to facilitate its uptake in surgical practices.

Applications for Clinical Practice

The findings from the current study indicate that patients and surgeons agree that preoperative ACP discussions are beneficial to the clinical care of older adults before high-risk surgeries. However, these important conversations do not occur frequently. Surgeons and health care institutions need to identify strategies to initiate, facilitate, and optimize productive preoperative ACP discussions to provide patient-centered care in vulnerable older surgical patients.

Financial disclosures: None.

Background

We sought to evaluate passive recruitment efforts of VA patients into a precision medicine research program. Access to clinical trials and other research opportunities is important to discovering new disease treatments and better ways to detect, diagnose, and reduce disease risk. The WISDOM (Women Informed to Screen Depending on Measures of risk) Study is a multi-site, pragmatic trial with webbased participation based at the University of California at San Francisco (UCSF) that aims to move breast cancer screening away from its current one-size-fitsall approach to one that is personalized based on each woman’s individual risk.

Methods

We created a hub and spoke recruitment model with the San Francisco VA Medical Center (SFVAMC) serving as the central hub of passive recruitment activities and eligible VA facilities that agreed to participate serving as the spoke recruitment sites. Eligible facilities had at least 3,000 women patients, VA clinical genetic services available, a site lead from the VA Women’s Health-Practice-Based Research Network, and mammography on site. Site participation involved permission for the research team to email eligible patients (women aged 40-74 without prior breast cancer diagnosis) about the WISDOM Study. We evaluated the effectiveness of the recruitment by assessing trends in enrollment and monitoring participation of VA patients in the WISDOM Study. Analysis: Pre/post frequencies of women consenting to participate in the WISDOM Study.

Results

From 5/24/2021 through 6/21/2021, we emailed 27,061 eligible VA patients from six participating VA facilities. Prior to the VA emailing, an average of 22 women per week consented to participating in the WISDOM Study and none were Veterans. After the first month of the VA emailing, an average of 186 women per week consented – a 7.5-fold increase. Additionally, during the first month of VA emailing, 81% of women registering with the WISDOM Study said they heard about the study from the VA.

Implications

The VA has recently approved of emailing as a method for recruiting research subjects. Our results demonstrate this is a feasible approach for precision medicine research, a growing area of research in VA and at academic affiliates.

Background

We sought to evaluate passive recruitment efforts of VA patients into a precision medicine research program. Access to clinical trials and other research opportunities is important to discovering new disease treatments and better ways to detect, diagnose, and reduce disease risk. The WISDOM (Women Informed to Screen Depending on Measures of risk) Study is a multi-site, pragmatic trial with webbased participation based at the University of California at San Francisco (UCSF) that aims to move breast cancer screening away from its current one-size-fitsall approach to one that is personalized based on each woman’s individual risk.

Methods

We created a hub and spoke recruitment model with the San Francisco VA Medical Center (SFVAMC) serving as the central hub of passive recruitment activities and eligible VA facilities that agreed to participate serving as the spoke recruitment sites. Eligible facilities had at least 3,000 women patients, VA clinical genetic services available, a site lead from the VA Women’s Health-Practice-Based Research Network, and mammography on site. Site participation involved permission for the research team to email eligible patients (women aged 40-74 without prior breast cancer diagnosis) about the WISDOM Study. We evaluated the effectiveness of the recruitment by assessing trends in enrollment and monitoring participation of VA patients in the WISDOM Study. Analysis: Pre/post frequencies of women consenting to participate in the WISDOM Study.

Results

From 5/24/2021 through 6/21/2021, we emailed 27,061 eligible VA patients from six participating VA facilities. Prior to the VA emailing, an average of 22 women per week consented to participating in the WISDOM Study and none were Veterans. After the first month of the VA emailing, an average of 186 women per week consented – a 7.5-fold increase. Additionally, during the first month of VA emailing, 81% of women registering with the WISDOM Study said they heard about the study from the VA.

Implications

The VA has recently approved of emailing as a method for recruiting research subjects. Our results demonstrate this is a feasible approach for precision medicine research, a growing area of research in VA and at academic affiliates.

Background

We sought to evaluate passive recruitment efforts of VA patients into a precision medicine research program. Access to clinical trials and other research opportunities is important to discovering new disease treatments and better ways to detect, diagnose, and reduce disease risk. The WISDOM (Women Informed to Screen Depending on Measures of risk) Study is a multi-site, pragmatic trial with webbased participation based at the University of California at San Francisco (UCSF) that aims to move breast cancer screening away from its current one-size-fitsall approach to one that is personalized based on each woman’s individual risk.

Methods

We created a hub and spoke recruitment model with the San Francisco VA Medical Center (SFVAMC) serving as the central hub of passive recruitment activities and eligible VA facilities that agreed to participate serving as the spoke recruitment sites. Eligible facilities had at least 3,000 women patients, VA clinical genetic services available, a site lead from the VA Women’s Health-Practice-Based Research Network, and mammography on site. Site participation involved permission for the research team to email eligible patients (women aged 40-74 without prior breast cancer diagnosis) about the WISDOM Study. We evaluated the effectiveness of the recruitment by assessing trends in enrollment and monitoring participation of VA patients in the WISDOM Study. Analysis: Pre/post frequencies of women consenting to participate in the WISDOM Study.

Results

From 5/24/2021 through 6/21/2021, we emailed 27,061 eligible VA patients from six participating VA facilities. Prior to the VA emailing, an average of 22 women per week consented to participating in the WISDOM Study and none were Veterans. After the first month of the VA emailing, an average of 186 women per week consented – a 7.5-fold increase. Additionally, during the first month of VA emailing, 81% of women registering with the WISDOM Study said they heard about the study from the VA.

Implications

The VA has recently approved of emailing as a method for recruiting research subjects. Our results demonstrate this is a feasible approach for precision medicine research, a growing area of research in VA and at academic affiliates.