Journal of Clinical Outcomes Management

From BJC HealthCare, St. Louis, MO.

Abstract

Background: There is limited literature relating to patient blood management (PBM) programs in large multi-hospital systems or addressing challenges of implementation across diverse systems comprised of community and academic hospitals.

Objective: To establish a PBM program to improve utilization of blood transfusion units at a multi-hospital system in the Midwest (BJC HealthCare).

Methods: High-impact strategies in establishing the PBM program included formation of Clinical Expert Councils (CECs) of providers, establishment of consensus utilization guidelines, and development of a robust reporting tool. CECs enabled collaboration and facilitated standardization across a complex system of academic, private practice, and tertiary facilities with a diverse community of medical providers. Consensus guidelines and the PBM reporting tool were key to creating meaningful reports to drive provider practice change.

Results: Over the 5 years following implementation of the PBM program, there has been a steady decrease in red blood cell (RBC) utilization. Noticeable changes have taken place at individual hospitals in the system, including reductions in transfusions falling outside guideline parameters from 300 per quarter to less than 8 per quarter at 1 of our community hospitals. No negative impact on patient care has been identified.

Conclusion: In response to current transfusion guidelines and the need for optimizing stewardship of blood product resources, this hospital system successfully implemented a robust PBM program that engaged academic and non-academic community providers and decreased utilization of blood transfusion resources in line with consensus guidelines.

Keywords: quality improvement; RBC transfusion; transfusion practices; provider practice change; utilization trends.

Evidence from clinical trials and published clinical guidelines support the adoption of a restrictive blood transfusion approach in hospitalized, stable patients as best practice.^1-5 As such, the development and implementation of patient blood management (PBM) programs has become an increasingly important process improvement for reducing variability in transfusion practices and clinical outcomes.

As recently as 2013, BJC HealthCare, a multi-hospital system in the Midwest, had no standardized, system-wide blood management program, and transfusion practices varied widely across providers and between individual hospitals based on size, patient population, and resources. The system consisted of 13 hospitals, ranging from large tertiary to smaller community and academic hospitals. Although adults constituted the vast majority of the patient population, the hospital system also included a pediatric specialty hospital, St. Louis Children’s Hospital. In addition, some sites were staffed by private practice providers and others by university-based providers, including blood bank medical directors. Due to the diversity of settings and populations, efforts to align transfusion and other practices often faced multiple challenges. However, improving the management of blood transfusions was identified as a key resource stewardship priority in 2013, and implementation of a system-wide program began after extensive discussions and consensus approval by senior hospital system and medical leadership. The primary aim of the program was to optimize overall blood product resource stewardship. Specifically, we sought to control or reduce costs per patient-care episode using strategies that would not negatively impact patient care and could potentially even improve patient outcomes (eg, by avoiding unnecessary transfusions and their attendant risks).

There is a plethora of literature related to the implemention of PBM programs in individual hospitals,^6-18 but few reports specifically relate to large multi-hospital health systems,^19-21 or directly address the unique challenges of implementation across a diverse system of community and academic hospitals and providers.¹⁹ Here, we discuss our experience with establishing a PBM program in a large, diverse, multi-hospital health system, provide examples of innovative strategies, and address challenges faced and lessons learned. Future endeavors of the PBM program at BJC HealthCare are also described.

Setting

BJC HealthCare is one of the largest nonprofit health care organizations in the United States, delivering services to the greater St. Louis, southern Illinois, and mid-Missouri regions, and addressing the health care needs of urban, suburban, and rural communities. As of 2018, the system included 15 hospitals and multiple community health locations comprising more than 3400 staffed beds, 31,500 employees, and 4300 physicians with privileges. The system annually has more than 151,000 hospital admissions, 81,000 outpatient surgery visits, and 537,000 emergency department visits. In addition to inpatient and outpatient care, services include primary care, community health and wellness, workplace health, home health, community mental health, rehabilitation, long-term care, and hospice. As a nonprofit system, BJC is the largest provider of charity care, unreimbursed care, and community benefit in Missouri, highlighting the fact that resource stewardship is a critical issue across the entire system and the communities served.²²

PBM Project

Preparation for large-scale change across several hospitals began with creating a framework for the initiative, which consisted of a “burning platform,” a guiding vision, and a coalition. The burning platform identifies the importance and urgency of a change and helps to establish commitment. Between 2012 and 2014, the American Association of Blood Banks (AABB) released new evidence-based guidelines and recommendations calling for more restrictive transfusion practices pertaining to red blood cells (RBCs; ie, a hemoglobin threshold of 7 to 8 g/dL) in both inpatient and outpatient care.² In addition, use of single-unit transfusions was recognized as best practice by the AABB in the Choosing Wisely campaign.²³ Historically, adult patients requiring transfusions were given 2 units in succession. The new recommendations provided a strong basis for changing transfusion practices at BJC. It was believed that aligning transfusion practices with the new guidelines was consistent with the mission and vision of the work: that these changes could lead to optimization of resources, cost control, reductions in unnecessary blood transfusions, and potentially improved care (eg, fewer transfusion-related complications). We used the national guidelines to initiate discussions and to identify clinical conditions and associated laboratory parameters for transfusion therapy.

Once this burning platform was established, a team comprised of physicians, blood bank experts, quality consultants, data analysts, and supply managers, referred to as the Outcomes Team, was formed to lead the change efforts across the system. Initial projects for the team included developing system-wide consensus-based transfusion guidelines, providing education to providers on the new evidence in transfusion practice, and sharing BJC-specific historical utilization data. The guiding principle for the group was that “blood is a valuable resource, but not without risk, and less is more.” In order to disseminate the vision of the initiative across the system, campaign signs with the slogans “7 is the new 10” (referring to the g/dL transfusion threshold) and “1 is the new 2” (referring to the new practice of the preferential transfusion of single units rather than 2 at a time) were displayed in system hospitals.

Last, a guiding coalition of system leaders was needed to help push the initiative forward and sustain the program once fully implemented. Thus, a multidisciplinary PBM Clinical Expert Counciel (CEC) was formed to assist with implementation and maintenance of the program.

Role of PBM Clinical Expert Council

The PBM CEC was designed to improve overall physician and expert engagement and provide a forum where stakeholders from across the system could participate to voice their expert opinion. CECs (which BJC formed in other clinical areas as well) are multidisciplinary teams consisting of clinical, administrative, and technical staff. The open, multidisciplinary structure of the councils allows for collaboration that promotes change across a complex multi-hospital system. Each hospital is represented by key physicians and technical leaders, opening opportunity for both horizontal and vertical partnership.

As part of the overall physician engagement strategy, the PBM CEC was launched across BJC in November 2013 as a decision-making body for gaining system consensus on matters relating to blood management. The initial goals for the PBM CEC were to share information and educate providers and others on the latest evidence, to subsequently debate and develop consensus for guidelines to be applied across BJC, and to identify and adopt gold standard practices to drive and sustain compliance across the system. More specifically, we wanted to focus on how to avoid unnecessary blood transfusions known to be associated with increased risk for adverse reactions, other morbidity, mortality, and longer length of stay. Council members met quarterly to address 6 key drivers: patient safety, informatics and data, quality improvement, efficiencies and workflows, education and competency, and communication and engagement. Members then voted to approve guidelines, policies, and procedures. The group continues to assist in updating and standardizing guidelines and providing input on improving the functionality of the PBM reporting tool.

Development of the PBM Reporting Tool

Providing and sharing data on blood utilization and practices with the CEC and hospital leaders was imperative to driving change. The Outcomes Team deliberated on how best to generate and provide such information, conducting comparisons between selected vendor-based tools and potential internal BJC solutions. After investigation, BJC leadership approved the development of an in-house PBM dashboard tool using Tableau Desktop (Tableau Software, Inc.). The tool consists of an executive page with 5 additional tabs for navigating to the appropriate information (Figure 1 and Figure 2); data within the tool are organized by facility, service, provider, ICD diagnosis, transfusion indication, and the Clinical Classifications Software category, as defined by the Agency for Healthcare Research and Quality.

The PBM reporting tool was launched on December 31, 2014. The next priority after the launch was to validate the tool’s blood utilization data and implement enhancements to make the tool more effective for users. A super-user group consisting of blood bank supervisors and managers was established. The goals of the user group were to preview any enhancements before presenting the tool to the larger CEC, test and validate data once new information was added, and share and prioritize future enhancements. User group meetings were held monthly to share best practices and discuss individual facilities’ blood utilization data. In addition, each facility’s representative(s) shared how they were driving changes in provider practice and discussed challenges specific to their facility. Enhancements suggested through the user group included: incorporation of additional lab values into the tool to correspond with other blood products (eg, fibrinogen, hematocrit, international normalized ratio, and platelet count), addition of the specific location where the blood product was administered, and standard naming conventions of locations to allow comparisons across facilities (eg, Emergency Department instead of ED, ER, or EU).

All hospital users were given access to a test version of the reporting tool where they could review enhancements, identify what worked well and what could be done better, and suggest corrections. As changes were made to the hospital lab systems, a sample of data was reviewed and validated with affected facilities to confirm the continued accuracy of the data. To ensure its practicality to users, the tool continues to be improved upon with input from council stakeholders and subject-matter experts.

Measurements

To monitor blood utilization across the health system, we tracked the total RBC units administered by hospital, service, and provider and also tracked pre- and post-transfusion hemoglobin values.

Results

Overall, the system has seen a steady decrease in RBC utilization over the 5 years since the PBM program was implemented (Table), with an absolute decrease of 3998 RBC units utilized per year from 2013 to 2018. From this assessment, focus efforts are being identified and future work will incorporate targeted metrics for those areas with higher utilization of RBCs. More importantly, from 2014 through 2017, there was a consistent decreasing trend in the number of transfusion-related safety events (302 to 185, respectively). However, there was a slight increase in reported events from 2018 to 2019 (188 and 266, respectively).

In addition to system-wide improvement, noticeable changes have taken place at individual hospitals in the BJC system. For example, Boone Hospital Center in Columbia, Missouri, began critically reviewing all RBC transfusions starting in 2015 and, to raise awareness, communicating with any provider who transfused a patient outside of transfusion guidelines. Since then, Boone Hospital has seen a dramatic reduction in transfusions considered noncompliant (ie, falling outside guideline parameters), from 300 transfusions per quarter, down to less than 8 per quarter. St. Louis Children’s Hospital also began reviewing blood products utilized by providers that fell outside of the standardized guidelines. At this hospital, physician champions discuss any outliers with the providers involved and use multiple methods for disseminating information to providers, including grand rounds, faculty meetings, and new resident orientations.

Another success has been the partnership between Barnes Jewish St. Peters and Progress West Hospitals in providing PBM education. Their joint effort resulted in implementation of education modules in BJC’s internal learning system, and has provided PBM-related education to more than 367 nurses, blood bank staff, and physicians.

Challenges and Lessons Learned

Implementation of the PBM program was generally successful, but it was not without challenges. One of the biggest challenges was addressing the variation in care and practices across the hospital enterprise. Due to the varying sizes and service goals of individual hospitals, lack of standardization was a significant barrier to change. Gaining trust and buy-in was imperative to increasing compliance with new transfusion policies. The primary concern was finding a balance between respecting physician autonomy and emphasizing and aligning practices with new evidence in the literature. Thus, understanding and applying principles of thoughtful change management was imperative to advancing the framework of the PBM program. The CEC venue enabled collaboration among hospitals and staff and was ultimately used to facilitate the necessary standardization process. To gain the trust of hospital and medical staff, the Outcomes Team conducted several site visits, enabling face-to-face interaction with frontline staff and operational leaders. Moreover, the team’s emphasis on the use of the latest evidence-based guidelines in discussions with hospital and medical staff underscored the need for change.

Frank et al¹⁹ describes using an approach similar to our Outcomes Team at the Johns Hopkins Health System. A designated multidisciplinary quality improvement team, referred to as the “clinical community,” worked on implementing best practices for blood management across a system of 5 hospitals. The authors reported similar results, with an overall decrease in number of units transfused, as well as substantial cost savings.¹⁹ Our project, along with the project implemented by Frank et al, shows how a “consensus-community” approach, involving stakeholders and various experts across the system, can be be used to align practices among multiple hospitals.

Development of a robust PBM reporting tool was key to creating meaningful monthly reports and driving provider practice change. However, this did require several training sessions, site visits, and computer-based training. Members of the Outcomes Team engaged in one-on-one sessions with tool users as a way of addressing specific areas of concern raised by staff at individual blood banks, and also took part in system-wide initiatives. The team also attended blood bank staff meetings and hospital transfusion committee meetings to educate staff on the evidence and initiative, provide demos of the reporting tool, and allow for a more robust discussion of how the data could be used and shared with other departments. These sessions provided opportunities to identify and prioritize future enhancements, as well as opportunities for continued education and discussion at hospitals, which were critical to ongoing improvement of the reporting tool.

Conclusion and Future Directions

Blood products remain extremely valuable and scarce resources, and all health care professionals must work to prevent unnecessary transfusions and improve clinical outcomes by adhering to the latest evidence-based guidelines. In response to current transfusion guidelines and the need to optimize blood product resources, our system successfully implemented a robust PBM program that engaged both academic and non-academic providers and communities. Several elements of the program helped us overcome the challenges relating to standardization of transfusion practices: consensus-based development of guidelines using the latest scientific evidence; formation and utilization of the CEC venue to gain system-wide consensus around both guidelines and approaches to change; development of a trustworthy and accessible PBM reporting tool (as well as continuing education sessions to improve adoption and utilization of the tool); and ongoing multidisciplinary discussions and support of thoughtful change and sustaining activities. We have seen a system-wide decrease in the number of RBC units transfused (absolute and per case mix-adjusted patient day) since implementing the PBM program, and in the following years have noted a trending decrease in transfusion-related safety events. Although there was a slight increase in reported safety events from 2018 to 2019, this was likely due to the systematic implementation of a new electronic medical record system and improved reporting infrastructure.

Upcoming phases of our system-wide PBM program will include looking at opportunities to improve blood utilization in other specific clinical areas. For example, we have begun discussions with hematology and oncology experts across the system to expand their patient population data within the PBM reporting tool, and to identify areas of opportunity for provider practice change within their specialty. We are also reviewing cardiothoracic surgery transfusion data to identify opportunities for reducing blood utilization in specific clinical scenarios. In addition, we are working to incorporate our 2 newest hospital system members (Memorial Hospital East and Memorial Hospital Belleville) into the PBM program. In collaboration with perioperative leaders across the system, the surgical blood ordering process is being reviewed. The goal of this effort is to reduce blood products ordered in preparation for surgical procedures. We are also currently investigating whether an impact on safety events (ie, reduction in transfusion reactions) can yet be detected. Last, our health care system recently launched a system-wide electronic medical record, and we are eager to see how this will provide us with new methods to monitor and analyze blood administration and utilization data. We look forward to reporting on the expansion of our program and on any clinical outcome improvements gained through avoidance of unnecessary transfusions.

Acknowledgment: The authors thank the leadership within the Center for Clinical Excellence and Supply Chain at BJC HealthCare for their support of this manuscript, as well as all system participants who have contributed to these efforts, especially Mohammad Agha, MD, MHA, current physician leader of the PBM CEC, for his thoughtful edits of this manuscript.

Corresponding author: Audrey A. Gronemeyer, MPH, Center for Clinical Excellence, BJC HealthCare, 8300 Eager Road, Suite 400A, St. Louis, MO 63144; [email protected].

Financial disclosures: None.

From BJC HealthCare, St. Louis, MO.

Abstract

Background: There is limited literature relating to patient blood management (PBM) programs in large multi-hospital systems or addressing challenges of implementation across diverse systems comprised of community and academic hospitals.

Objective: To establish a PBM program to improve utilization of blood transfusion units at a multi-hospital system in the Midwest (BJC HealthCare).

Methods: High-impact strategies in establishing the PBM program included formation of Clinical Expert Councils (CECs) of providers, establishment of consensus utilization guidelines, and development of a robust reporting tool. CECs enabled collaboration and facilitated standardization across a complex system of academic, private practice, and tertiary facilities with a diverse community of medical providers. Consensus guidelines and the PBM reporting tool were key to creating meaningful reports to drive provider practice change.

Results: Over the 5 years following implementation of the PBM program, there has been a steady decrease in red blood cell (RBC) utilization. Noticeable changes have taken place at individual hospitals in the system, including reductions in transfusions falling outside guideline parameters from 300 per quarter to less than 8 per quarter at 1 of our community hospitals. No negative impact on patient care has been identified.

Conclusion: In response to current transfusion guidelines and the need for optimizing stewardship of blood product resources, this hospital system successfully implemented a robust PBM program that engaged academic and non-academic community providers and decreased utilization of blood transfusion resources in line with consensus guidelines.

Keywords: quality improvement; RBC transfusion; transfusion practices; provider practice change; utilization trends.

Evidence from clinical trials and published clinical guidelines support the adoption of a restrictive blood transfusion approach in hospitalized, stable patients as best practice.^1-5 As such, the development and implementation of patient blood management (PBM) programs has become an increasingly important process improvement for reducing variability in transfusion practices and clinical outcomes.

As recently as 2013, BJC HealthCare, a multi-hospital system in the Midwest, had no standardized, system-wide blood management program, and transfusion practices varied widely across providers and between individual hospitals based on size, patient population, and resources. The system consisted of 13 hospitals, ranging from large tertiary to smaller community and academic hospitals. Although adults constituted the vast majority of the patient population, the hospital system also included a pediatric specialty hospital, St. Louis Children’s Hospital. In addition, some sites were staffed by private practice providers and others by university-based providers, including blood bank medical directors. Due to the diversity of settings and populations, efforts to align transfusion and other practices often faced multiple challenges. However, improving the management of blood transfusions was identified as a key resource stewardship priority in 2013, and implementation of a system-wide program began after extensive discussions and consensus approval by senior hospital system and medical leadership. The primary aim of the program was to optimize overall blood product resource stewardship. Specifically, we sought to control or reduce costs per patient-care episode using strategies that would not negatively impact patient care and could potentially even improve patient outcomes (eg, by avoiding unnecessary transfusions and their attendant risks).

There is a plethora of literature related to the implemention of PBM programs in individual hospitals,^6-18 but few reports specifically relate to large multi-hospital health systems,^19-21 or directly address the unique challenges of implementation across a diverse system of community and academic hospitals and providers.¹⁹ Here, we discuss our experience with establishing a PBM program in a large, diverse, multi-hospital health system, provide examples of innovative strategies, and address challenges faced and lessons learned. Future endeavors of the PBM program at BJC HealthCare are also described.

Setting

BJC HealthCare is one of the largest nonprofit health care organizations in the United States, delivering services to the greater St. Louis, southern Illinois, and mid-Missouri regions, and addressing the health care needs of urban, suburban, and rural communities. As of 2018, the system included 15 hospitals and multiple community health locations comprising more than 3400 staffed beds, 31,500 employees, and 4300 physicians with privileges. The system annually has more than 151,000 hospital admissions, 81,000 outpatient surgery visits, and 537,000 emergency department visits. In addition to inpatient and outpatient care, services include primary care, community health and wellness, workplace health, home health, community mental health, rehabilitation, long-term care, and hospice. As a nonprofit system, BJC is the largest provider of charity care, unreimbursed care, and community benefit in Missouri, highlighting the fact that resource stewardship is a critical issue across the entire system and the communities served.²²

PBM Project

Preparation for large-scale change across several hospitals began with creating a framework for the initiative, which consisted of a “burning platform,” a guiding vision, and a coalition. The burning platform identifies the importance and urgency of a change and helps to establish commitment. Between 2012 and 2014, the American Association of Blood Banks (AABB) released new evidence-based guidelines and recommendations calling for more restrictive transfusion practices pertaining to red blood cells (RBCs; ie, a hemoglobin threshold of 7 to 8 g/dL) in both inpatient and outpatient care.² In addition, use of single-unit transfusions was recognized as best practice by the AABB in the Choosing Wisely campaign.²³ Historically, adult patients requiring transfusions were given 2 units in succession. The new recommendations provided a strong basis for changing transfusion practices at BJC. It was believed that aligning transfusion practices with the new guidelines was consistent with the mission and vision of the work: that these changes could lead to optimization of resources, cost control, reductions in unnecessary blood transfusions, and potentially improved care (eg, fewer transfusion-related complications). We used the national guidelines to initiate discussions and to identify clinical conditions and associated laboratory parameters for transfusion therapy.

Once this burning platform was established, a team comprised of physicians, blood bank experts, quality consultants, data analysts, and supply managers, referred to as the Outcomes Team, was formed to lead the change efforts across the system. Initial projects for the team included developing system-wide consensus-based transfusion guidelines, providing education to providers on the new evidence in transfusion practice, and sharing BJC-specific historical utilization data. The guiding principle for the group was that “blood is a valuable resource, but not without risk, and less is more.” In order to disseminate the vision of the initiative across the system, campaign signs with the slogans “7 is the new 10” (referring to the g/dL transfusion threshold) and “1 is the new 2” (referring to the new practice of the preferential transfusion of single units rather than 2 at a time) were displayed in system hospitals.

Last, a guiding coalition of system leaders was needed to help push the initiative forward and sustain the program once fully implemented. Thus, a multidisciplinary PBM Clinical Expert Counciel (CEC) was formed to assist with implementation and maintenance of the program.

Role of PBM Clinical Expert Council

The PBM CEC was designed to improve overall physician and expert engagement and provide a forum where stakeholders from across the system could participate to voice their expert opinion. CECs (which BJC formed in other clinical areas as well) are multidisciplinary teams consisting of clinical, administrative, and technical staff. The open, multidisciplinary structure of the councils allows for collaboration that promotes change across a complex multi-hospital system. Each hospital is represented by key physicians and technical leaders, opening opportunity for both horizontal and vertical partnership.

As part of the overall physician engagement strategy, the PBM CEC was launched across BJC in November 2013 as a decision-making body for gaining system consensus on matters relating to blood management. The initial goals for the PBM CEC were to share information and educate providers and others on the latest evidence, to subsequently debate and develop consensus for guidelines to be applied across BJC, and to identify and adopt gold standard practices to drive and sustain compliance across the system. More specifically, we wanted to focus on how to avoid unnecessary blood transfusions known to be associated with increased risk for adverse reactions, other morbidity, mortality, and longer length of stay. Council members met quarterly to address 6 key drivers: patient safety, informatics and data, quality improvement, efficiencies and workflows, education and competency, and communication and engagement. Members then voted to approve guidelines, policies, and procedures. The group continues to assist in updating and standardizing guidelines and providing input on improving the functionality of the PBM reporting tool.

Development of the PBM Reporting Tool

Providing and sharing data on blood utilization and practices with the CEC and hospital leaders was imperative to driving change. The Outcomes Team deliberated on how best to generate and provide such information, conducting comparisons between selected vendor-based tools and potential internal BJC solutions. After investigation, BJC leadership approved the development of an in-house PBM dashboard tool using Tableau Desktop (Tableau Software, Inc.). The tool consists of an executive page with 5 additional tabs for navigating to the appropriate information (Figure 1 and Figure 2); data within the tool are organized by facility, service, provider, ICD diagnosis, transfusion indication, and the Clinical Classifications Software category, as defined by the Agency for Healthcare Research and Quality.

The PBM reporting tool was launched on December 31, 2014. The next priority after the launch was to validate the tool’s blood utilization data and implement enhancements to make the tool more effective for users. A super-user group consisting of blood bank supervisors and managers was established. The goals of the user group were to preview any enhancements before presenting the tool to the larger CEC, test and validate data once new information was added, and share and prioritize future enhancements. User group meetings were held monthly to share best practices and discuss individual facilities’ blood utilization data. In addition, each facility’s representative(s) shared how they were driving changes in provider practice and discussed challenges specific to their facility. Enhancements suggested through the user group included: incorporation of additional lab values into the tool to correspond with other blood products (eg, fibrinogen, hematocrit, international normalized ratio, and platelet count), addition of the specific location where the blood product was administered, and standard naming conventions of locations to allow comparisons across facilities (eg, Emergency Department instead of ED, ER, or EU).

All hospital users were given access to a test version of the reporting tool where they could review enhancements, identify what worked well and what could be done better, and suggest corrections. As changes were made to the hospital lab systems, a sample of data was reviewed and validated with affected facilities to confirm the continued accuracy of the data. To ensure its practicality to users, the tool continues to be improved upon with input from council stakeholders and subject-matter experts.

Measurements

To monitor blood utilization across the health system, we tracked the total RBC units administered by hospital, service, and provider and also tracked pre- and post-transfusion hemoglobin values.

Results

Overall, the system has seen a steady decrease in RBC utilization over the 5 years since the PBM program was implemented (Table), with an absolute decrease of 3998 RBC units utilized per year from 2013 to 2018. From this assessment, focus efforts are being identified and future work will incorporate targeted metrics for those areas with higher utilization of RBCs. More importantly, from 2014 through 2017, there was a consistent decreasing trend in the number of transfusion-related safety events (302 to 185, respectively). However, there was a slight increase in reported events from 2018 to 2019 (188 and 266, respectively).

In addition to system-wide improvement, noticeable changes have taken place at individual hospitals in the BJC system. For example, Boone Hospital Center in Columbia, Missouri, began critically reviewing all RBC transfusions starting in 2015 and, to raise awareness, communicating with any provider who transfused a patient outside of transfusion guidelines. Since then, Boone Hospital has seen a dramatic reduction in transfusions considered noncompliant (ie, falling outside guideline parameters), from 300 transfusions per quarter, down to less than 8 per quarter. St. Louis Children’s Hospital also began reviewing blood products utilized by providers that fell outside of the standardized guidelines. At this hospital, physician champions discuss any outliers with the providers involved and use multiple methods for disseminating information to providers, including grand rounds, faculty meetings, and new resident orientations.

Another success has been the partnership between Barnes Jewish St. Peters and Progress West Hospitals in providing PBM education. Their joint effort resulted in implementation of education modules in BJC’s internal learning system, and has provided PBM-related education to more than 367 nurses, blood bank staff, and physicians.

Challenges and Lessons Learned

Implementation of the PBM program was generally successful, but it was not without challenges. One of the biggest challenges was addressing the variation in care and practices across the hospital enterprise. Due to the varying sizes and service goals of individual hospitals, lack of standardization was a significant barrier to change. Gaining trust and buy-in was imperative to increasing compliance with new transfusion policies. The primary concern was finding a balance between respecting physician autonomy and emphasizing and aligning practices with new evidence in the literature. Thus, understanding and applying principles of thoughtful change management was imperative to advancing the framework of the PBM program. The CEC venue enabled collaboration among hospitals and staff and was ultimately used to facilitate the necessary standardization process. To gain the trust of hospital and medical staff, the Outcomes Team conducted several site visits, enabling face-to-face interaction with frontline staff and operational leaders. Moreover, the team’s emphasis on the use of the latest evidence-based guidelines in discussions with hospital and medical staff underscored the need for change.

Frank et al¹⁹ describes using an approach similar to our Outcomes Team at the Johns Hopkins Health System. A designated multidisciplinary quality improvement team, referred to as the “clinical community,” worked on implementing best practices for blood management across a system of 5 hospitals. The authors reported similar results, with an overall decrease in number of units transfused, as well as substantial cost savings.¹⁹ Our project, along with the project implemented by Frank et al, shows how a “consensus-community” approach, involving stakeholders and various experts across the system, can be be used to align practices among multiple hospitals.

Development of a robust PBM reporting tool was key to creating meaningful monthly reports and driving provider practice change. However, this did require several training sessions, site visits, and computer-based training. Members of the Outcomes Team engaged in one-on-one sessions with tool users as a way of addressing specific areas of concern raised by staff at individual blood banks, and also took part in system-wide initiatives. The team also attended blood bank staff meetings and hospital transfusion committee meetings to educate staff on the evidence and initiative, provide demos of the reporting tool, and allow for a more robust discussion of how the data could be used and shared with other departments. These sessions provided opportunities to identify and prioritize future enhancements, as well as opportunities for continued education and discussion at hospitals, which were critical to ongoing improvement of the reporting tool.

Conclusion and Future Directions

Blood products remain extremely valuable and scarce resources, and all health care professionals must work to prevent unnecessary transfusions and improve clinical outcomes by adhering to the latest evidence-based guidelines. In response to current transfusion guidelines and the need to optimize blood product resources, our system successfully implemented a robust PBM program that engaged both academic and non-academic providers and communities. Several elements of the program helped us overcome the challenges relating to standardization of transfusion practices: consensus-based development of guidelines using the latest scientific evidence; formation and utilization of the CEC venue to gain system-wide consensus around both guidelines and approaches to change; development of a trustworthy and accessible PBM reporting tool (as well as continuing education sessions to improve adoption and utilization of the tool); and ongoing multidisciplinary discussions and support of thoughtful change and sustaining activities. We have seen a system-wide decrease in the number of RBC units transfused (absolute and per case mix-adjusted patient day) since implementing the PBM program, and in the following years have noted a trending decrease in transfusion-related safety events. Although there was a slight increase in reported safety events from 2018 to 2019, this was likely due to the systematic implementation of a new electronic medical record system and improved reporting infrastructure.

Upcoming phases of our system-wide PBM program will include looking at opportunities to improve blood utilization in other specific clinical areas. For example, we have begun discussions with hematology and oncology experts across the system to expand their patient population data within the PBM reporting tool, and to identify areas of opportunity for provider practice change within their specialty. We are also reviewing cardiothoracic surgery transfusion data to identify opportunities for reducing blood utilization in specific clinical scenarios. In addition, we are working to incorporate our 2 newest hospital system members (Memorial Hospital East and Memorial Hospital Belleville) into the PBM program. In collaboration with perioperative leaders across the system, the surgical blood ordering process is being reviewed. The goal of this effort is to reduce blood products ordered in preparation for surgical procedures. We are also currently investigating whether an impact on safety events (ie, reduction in transfusion reactions) can yet be detected. Last, our health care system recently launched a system-wide electronic medical record, and we are eager to see how this will provide us with new methods to monitor and analyze blood administration and utilization data. We look forward to reporting on the expansion of our program and on any clinical outcome improvements gained through avoidance of unnecessary transfusions.

Acknowledgment: The authors thank the leadership within the Center for Clinical Excellence and Supply Chain at BJC HealthCare for their support of this manuscript, as well as all system participants who have contributed to these efforts, especially Mohammad Agha, MD, MHA, current physician leader of the PBM CEC, for his thoughtful edits of this manuscript.

Corresponding author: Audrey A. Gronemeyer, MPH, Center for Clinical Excellence, BJC HealthCare, 8300 Eager Road, Suite 400A, St. Louis, MO 63144; [email protected].

Financial disclosures: None.

From BJC HealthCare, St. Louis, MO.

Abstract

Background: There is limited literature relating to patient blood management (PBM) programs in large multi-hospital systems or addressing challenges of implementation across diverse systems comprised of community and academic hospitals.

Objective: To establish a PBM program to improve utilization of blood transfusion units at a multi-hospital system in the Midwest (BJC HealthCare).

Methods: High-impact strategies in establishing the PBM program included formation of Clinical Expert Councils (CECs) of providers, establishment of consensus utilization guidelines, and development of a robust reporting tool. CECs enabled collaboration and facilitated standardization across a complex system of academic, private practice, and tertiary facilities with a diverse community of medical providers. Consensus guidelines and the PBM reporting tool were key to creating meaningful reports to drive provider practice change.

Results: Over the 5 years following implementation of the PBM program, there has been a steady decrease in red blood cell (RBC) utilization. Noticeable changes have taken place at individual hospitals in the system, including reductions in transfusions falling outside guideline parameters from 300 per quarter to less than 8 per quarter at 1 of our community hospitals. No negative impact on patient care has been identified.

Conclusion: In response to current transfusion guidelines and the need for optimizing stewardship of blood product resources, this hospital system successfully implemented a robust PBM program that engaged academic and non-academic community providers and decreased utilization of blood transfusion resources in line with consensus guidelines.

Keywords: quality improvement; RBC transfusion; transfusion practices; provider practice change; utilization trends.

Evidence from clinical trials and published clinical guidelines support the adoption of a restrictive blood transfusion approach in hospitalized, stable patients as best practice.^1-5 As such, the development and implementation of patient blood management (PBM) programs has become an increasingly important process improvement for reducing variability in transfusion practices and clinical outcomes.

As recently as 2013, BJC HealthCare, a multi-hospital system in the Midwest, had no standardized, system-wide blood management program, and transfusion practices varied widely across providers and between individual hospitals based on size, patient population, and resources. The system consisted of 13 hospitals, ranging from large tertiary to smaller community and academic hospitals. Although adults constituted the vast majority of the patient population, the hospital system also included a pediatric specialty hospital, St. Louis Children’s Hospital. In addition, some sites were staffed by private practice providers and others by university-based providers, including blood bank medical directors. Due to the diversity of settings and populations, efforts to align transfusion and other practices often faced multiple challenges. However, improving the management of blood transfusions was identified as a key resource stewardship priority in 2013, and implementation of a system-wide program began after extensive discussions and consensus approval by senior hospital system and medical leadership. The primary aim of the program was to optimize overall blood product resource stewardship. Specifically, we sought to control or reduce costs per patient-care episode using strategies that would not negatively impact patient care and could potentially even improve patient outcomes (eg, by avoiding unnecessary transfusions and their attendant risks).

There is a plethora of literature related to the implemention of PBM programs in individual hospitals,^6-18 but few reports specifically relate to large multi-hospital health systems,^19-21 or directly address the unique challenges of implementation across a diverse system of community and academic hospitals and providers.¹⁹ Here, we discuss our experience with establishing a PBM program in a large, diverse, multi-hospital health system, provide examples of innovative strategies, and address challenges faced and lessons learned. Future endeavors of the PBM program at BJC HealthCare are also described.

Setting

BJC HealthCare is one of the largest nonprofit health care organizations in the United States, delivering services to the greater St. Louis, southern Illinois, and mid-Missouri regions, and addressing the health care needs of urban, suburban, and rural communities. As of 2018, the system included 15 hospitals and multiple community health locations comprising more than 3400 staffed beds, 31,500 employees, and 4300 physicians with privileges. The system annually has more than 151,000 hospital admissions, 81,000 outpatient surgery visits, and 537,000 emergency department visits. In addition to inpatient and outpatient care, services include primary care, community health and wellness, workplace health, home health, community mental health, rehabilitation, long-term care, and hospice. As a nonprofit system, BJC is the largest provider of charity care, unreimbursed care, and community benefit in Missouri, highlighting the fact that resource stewardship is a critical issue across the entire system and the communities served.²²

PBM Project

Preparation for large-scale change across several hospitals began with creating a framework for the initiative, which consisted of a “burning platform,” a guiding vision, and a coalition. The burning platform identifies the importance and urgency of a change and helps to establish commitment. Between 2012 and 2014, the American Association of Blood Banks (AABB) released new evidence-based guidelines and recommendations calling for more restrictive transfusion practices pertaining to red blood cells (RBCs; ie, a hemoglobin threshold of 7 to 8 g/dL) in both inpatient and outpatient care.² In addition, use of single-unit transfusions was recognized as best practice by the AABB in the Choosing Wisely campaign.²³ Historically, adult patients requiring transfusions were given 2 units in succession. The new recommendations provided a strong basis for changing transfusion practices at BJC. It was believed that aligning transfusion practices with the new guidelines was consistent with the mission and vision of the work: that these changes could lead to optimization of resources, cost control, reductions in unnecessary blood transfusions, and potentially improved care (eg, fewer transfusion-related complications). We used the national guidelines to initiate discussions and to identify clinical conditions and associated laboratory parameters for transfusion therapy.

Once this burning platform was established, a team comprised of physicians, blood bank experts, quality consultants, data analysts, and supply managers, referred to as the Outcomes Team, was formed to lead the change efforts across the system. Initial projects for the team included developing system-wide consensus-based transfusion guidelines, providing education to providers on the new evidence in transfusion practice, and sharing BJC-specific historical utilization data. The guiding principle for the group was that “blood is a valuable resource, but not without risk, and less is more.” In order to disseminate the vision of the initiative across the system, campaign signs with the slogans “7 is the new 10” (referring to the g/dL transfusion threshold) and “1 is the new 2” (referring to the new practice of the preferential transfusion of single units rather than 2 at a time) were displayed in system hospitals.

Last, a guiding coalition of system leaders was needed to help push the initiative forward and sustain the program once fully implemented. Thus, a multidisciplinary PBM Clinical Expert Counciel (CEC) was formed to assist with implementation and maintenance of the program.

Role of PBM Clinical Expert Council

The PBM CEC was designed to improve overall physician and expert engagement and provide a forum where stakeholders from across the system could participate to voice their expert opinion. CECs (which BJC formed in other clinical areas as well) are multidisciplinary teams consisting of clinical, administrative, and technical staff. The open, multidisciplinary structure of the councils allows for collaboration that promotes change across a complex multi-hospital system. Each hospital is represented by key physicians and technical leaders, opening opportunity for both horizontal and vertical partnership.

As part of the overall physician engagement strategy, the PBM CEC was launched across BJC in November 2013 as a decision-making body for gaining system consensus on matters relating to blood management. The initial goals for the PBM CEC were to share information and educate providers and others on the latest evidence, to subsequently debate and develop consensus for guidelines to be applied across BJC, and to identify and adopt gold standard practices to drive and sustain compliance across the system. More specifically, we wanted to focus on how to avoid unnecessary blood transfusions known to be associated with increased risk for adverse reactions, other morbidity, mortality, and longer length of stay. Council members met quarterly to address 6 key drivers: patient safety, informatics and data, quality improvement, efficiencies and workflows, education and competency, and communication and engagement. Members then voted to approve guidelines, policies, and procedures. The group continues to assist in updating and standardizing guidelines and providing input on improving the functionality of the PBM reporting tool.

Development of the PBM Reporting Tool

Providing and sharing data on blood utilization and practices with the CEC and hospital leaders was imperative to driving change. The Outcomes Team deliberated on how best to generate and provide such information, conducting comparisons between selected vendor-based tools and potential internal BJC solutions. After investigation, BJC leadership approved the development of an in-house PBM dashboard tool using Tableau Desktop (Tableau Software, Inc.). The tool consists of an executive page with 5 additional tabs for navigating to the appropriate information (Figure 1 and Figure 2); data within the tool are organized by facility, service, provider, ICD diagnosis, transfusion indication, and the Clinical Classifications Software category, as defined by the Agency for Healthcare Research and Quality.

The PBM reporting tool was launched on December 31, 2014. The next priority after the launch was to validate the tool’s blood utilization data and implement enhancements to make the tool more effective for users. A super-user group consisting of blood bank supervisors and managers was established. The goals of the user group were to preview any enhancements before presenting the tool to the larger CEC, test and validate data once new information was added, and share and prioritize future enhancements. User group meetings were held monthly to share best practices and discuss individual facilities’ blood utilization data. In addition, each facility’s representative(s) shared how they were driving changes in provider practice and discussed challenges specific to their facility. Enhancements suggested through the user group included: incorporation of additional lab values into the tool to correspond with other blood products (eg, fibrinogen, hematocrit, international normalized ratio, and platelet count), addition of the specific location where the blood product was administered, and standard naming conventions of locations to allow comparisons across facilities (eg, Emergency Department instead of ED, ER, or EU).

All hospital users were given access to a test version of the reporting tool where they could review enhancements, identify what worked well and what could be done better, and suggest corrections. As changes were made to the hospital lab systems, a sample of data was reviewed and validated with affected facilities to confirm the continued accuracy of the data. To ensure its practicality to users, the tool continues to be improved upon with input from council stakeholders and subject-matter experts.

Measurements

To monitor blood utilization across the health system, we tracked the total RBC units administered by hospital, service, and provider and also tracked pre- and post-transfusion hemoglobin values.

Results

Overall, the system has seen a steady decrease in RBC utilization over the 5 years since the PBM program was implemented (Table), with an absolute decrease of 3998 RBC units utilized per year from 2013 to 2018. From this assessment, focus efforts are being identified and future work will incorporate targeted metrics for those areas with higher utilization of RBCs. More importantly, from 2014 through 2017, there was a consistent decreasing trend in the number of transfusion-related safety events (302 to 185, respectively). However, there was a slight increase in reported events from 2018 to 2019 (188 and 266, respectively).

In addition to system-wide improvement, noticeable changes have taken place at individual hospitals in the BJC system. For example, Boone Hospital Center in Columbia, Missouri, began critically reviewing all RBC transfusions starting in 2015 and, to raise awareness, communicating with any provider who transfused a patient outside of transfusion guidelines. Since then, Boone Hospital has seen a dramatic reduction in transfusions considered noncompliant (ie, falling outside guideline parameters), from 300 transfusions per quarter, down to less than 8 per quarter. St. Louis Children’s Hospital also began reviewing blood products utilized by providers that fell outside of the standardized guidelines. At this hospital, physician champions discuss any outliers with the providers involved and use multiple methods for disseminating information to providers, including grand rounds, faculty meetings, and new resident orientations.

Another success has been the partnership between Barnes Jewish St. Peters and Progress West Hospitals in providing PBM education. Their joint effort resulted in implementation of education modules in BJC’s internal learning system, and has provided PBM-related education to more than 367 nurses, blood bank staff, and physicians.

Challenges and Lessons Learned

Implementation of the PBM program was generally successful, but it was not without challenges. One of the biggest challenges was addressing the variation in care and practices across the hospital enterprise. Due to the varying sizes and service goals of individual hospitals, lack of standardization was a significant barrier to change. Gaining trust and buy-in was imperative to increasing compliance with new transfusion policies. The primary concern was finding a balance between respecting physician autonomy and emphasizing and aligning practices with new evidence in the literature. Thus, understanding and applying principles of thoughtful change management was imperative to advancing the framework of the PBM program. The CEC venue enabled collaboration among hospitals and staff and was ultimately used to facilitate the necessary standardization process. To gain the trust of hospital and medical staff, the Outcomes Team conducted several site visits, enabling face-to-face interaction with frontline staff and operational leaders. Moreover, the team’s emphasis on the use of the latest evidence-based guidelines in discussions with hospital and medical staff underscored the need for change.

Frank et al¹⁹ describes using an approach similar to our Outcomes Team at the Johns Hopkins Health System. A designated multidisciplinary quality improvement team, referred to as the “clinical community,” worked on implementing best practices for blood management across a system of 5 hospitals. The authors reported similar results, with an overall decrease in number of units transfused, as well as substantial cost savings.¹⁹ Our project, along with the project implemented by Frank et al, shows how a “consensus-community” approach, involving stakeholders and various experts across the system, can be be used to align practices among multiple hospitals.

Development of a robust PBM reporting tool was key to creating meaningful monthly reports and driving provider practice change. However, this did require several training sessions, site visits, and computer-based training. Members of the Outcomes Team engaged in one-on-one sessions with tool users as a way of addressing specific areas of concern raised by staff at individual blood banks, and also took part in system-wide initiatives. The team also attended blood bank staff meetings and hospital transfusion committee meetings to educate staff on the evidence and initiative, provide demos of the reporting tool, and allow for a more robust discussion of how the data could be used and shared with other departments. These sessions provided opportunities to identify and prioritize future enhancements, as well as opportunities for continued education and discussion at hospitals, which were critical to ongoing improvement of the reporting tool.

Conclusion and Future Directions

Blood products remain extremely valuable and scarce resources, and all health care professionals must work to prevent unnecessary transfusions and improve clinical outcomes by adhering to the latest evidence-based guidelines. In response to current transfusion guidelines and the need to optimize blood product resources, our system successfully implemented a robust PBM program that engaged both academic and non-academic providers and communities. Several elements of the program helped us overcome the challenges relating to standardization of transfusion practices: consensus-based development of guidelines using the latest scientific evidence; formation and utilization of the CEC venue to gain system-wide consensus around both guidelines and approaches to change; development of a trustworthy and accessible PBM reporting tool (as well as continuing education sessions to improve adoption and utilization of the tool); and ongoing multidisciplinary discussions and support of thoughtful change and sustaining activities. We have seen a system-wide decrease in the number of RBC units transfused (absolute and per case mix-adjusted patient day) since implementing the PBM program, and in the following years have noted a trending decrease in transfusion-related safety events. Although there was a slight increase in reported safety events from 2018 to 2019, this was likely due to the systematic implementation of a new electronic medical record system and improved reporting infrastructure.

Upcoming phases of our system-wide PBM program will include looking at opportunities to improve blood utilization in other specific clinical areas. For example, we have begun discussions with hematology and oncology experts across the system to expand their patient population data within the PBM reporting tool, and to identify areas of opportunity for provider practice change within their specialty. We are also reviewing cardiothoracic surgery transfusion data to identify opportunities for reducing blood utilization in specific clinical scenarios. In addition, we are working to incorporate our 2 newest hospital system members (Memorial Hospital East and Memorial Hospital Belleville) into the PBM program. In collaboration with perioperative leaders across the system, the surgical blood ordering process is being reviewed. The goal of this effort is to reduce blood products ordered in preparation for surgical procedures. We are also currently investigating whether an impact on safety events (ie, reduction in transfusion reactions) can yet be detected. Last, our health care system recently launched a system-wide electronic medical record, and we are eager to see how this will provide us with new methods to monitor and analyze blood administration and utilization data. We look forward to reporting on the expansion of our program and on any clinical outcome improvements gained through avoidance of unnecessary transfusions.

Acknowledgment: The authors thank the leadership within the Center for Clinical Excellence and Supply Chain at BJC HealthCare for their support of this manuscript, as well as all system participants who have contributed to these efforts, especially Mohammad Agha, MD, MHA, current physician leader of the PBM CEC, for his thoughtful edits of this manuscript.

Corresponding author: Audrey A. Gronemeyer, MPH, Center for Clinical Excellence, BJC HealthCare, 8300 Eager Road, Suite 400A, St. Louis, MO 63144; [email protected].

Financial disclosures: None.

From Western University of Health Sciences College of Pharmacy, Department of Pharmacy Practice and Administration, Pomona, CA.

Abstract

• Objective: To review the current literature regarding the clinical effectiveness and cost-effectiveness of implementing hypertension team-based care (TBC) interventions in the outpatient setting, and discuss challenges to implementation.
• Methods: A literature review was conducted of meta-analyses, systematic reviews, and randomized controlled trials comparing TBC models to usual care for hypertension management.
• Results: Compared to usual care, TBC models have demonstrated greater blood pressure reductions and improved blood pressure control rates. Evidence was strongest for models involving nurses and pharmacists whose roles included medication management, patient education and counseling, coordination of care and follow-up, population health management, and performance measurement with quality improvement. Although TBC results in an increase in health care costs, the overall long-term benefits support the cost-effectiveness of these models over usual care. The most common barriers to TBC implementation include underutilization of technology, stakeholder engagement, and reimbursement issues.
• Conclusion: Hypertension TBC models have been shown to be clinically effective and cost-effective, but continued research comparing different models is warranted to determine which combination of health professionals and interventions is most impactful and cost-effective in practice. An implementation science approach, in which TBC models unique to each organization’s situation are created, will be useful to identify and overcome challenges and provide a solid foundation for sustainment.

Keywords: blood pressure; pharmacist; nurse; nurse practitioner; cost-effectiveness; team-based care.

Approximately 1 in 3 US adults—or about 100 million people—have high blood pressure, and only about half (48%) have their blood pressure under control.¹ Effective blood pressure management has been shown to decrease the incidence of stroke, heart attack, and heart failure.^2-4 The American College of Cardiology/American Heart Association (ACC/AHA) 2017 blood pressure guidelines recommended lower thresholds for diagnosing hypertension and initiating antihypertensive medication, and intensified the blood pressure goal to less than 130/80 mm Hg.⁵ Changing practice standards to more intensive blood pressure goals requires significant adjustments by clinicians and health care systems. In fact, new guideline uptake is often delayed, ignored, or sparsely applied.⁶ Due to this dramatic change in hypertension practice standards, the ACC/AHA guidelines support interdisciplinary team-based care (TBC) for hypertension management.^5,7 Additionally, the Centers for Disease Control and Prevention (CDC) and the Community Preventive Services Task Force (CPSTF) promote TBC to improve blood pressure control in their initiatives to prevent heart disease and stroke.^8,9

The National Academy of Medicine defines TBC as “the provision of health services to individuals, families, and/or their communities by at least 2 healthcare providers who work collaboratively with patients and their caregivers—to the extent preferred by each patient—to accomplish shared goals within and across settings to achieve coordinated, high-quality care.”¹⁰ Specific goals for TBC in hypertension treatment are listed in Table 1, and a checklist of key elements of TBC to consider before implementation are presented in Table 2.

TBC has been shown to have many advantages, including increased access to care due to expanded hours of operation and shorter wait times.¹¹ Team-based models also provide effective and efficient delivery of patient education, behavioral health care, and care coordination.^12-14 Patients are more likely to receive high-quality care when multiple providers, each with varied expertise, are on the health care team.^11,15 Furthermore, clinicians report improved professional job satisfaction related to their ability to practice in environments where they are encouraged to work at the top of their licenses.¹⁶ Consequently, TBC has been accepted as a vital part of the patient-centered medical home (PCMH) model.^17-19 Standards set by the National Committee for Quality Assurance (NCQA) include TBC as a requirement health systems must meet in order to achieve the highest level of PCMH recognition. While a team-based approach offers substantial benefits and is recognized as a marker of quality, implementation has presented various challenges, and the sustainability of these models in care settings has been questioned.²⁰

In this article, we review the current literature regarding the clinical effectiveness and cost-effectiveness of implementing hypertension TBC interventions in the outpatient setting. We also discuss the challenges and opportunities of implementing this strategy in health systems and community settings in the United States.

Evidence of Impact and Effectiveness

Various models of hypertension TBC have been shown to increase the proportion of individuals with controlled blood pressure and to lead to a reduction in both systolic (SBP) and diastolic blood pressure (DBP), resulting in a strong recommendation for TBC approaches by the 2017 ACC/AHA blood pressure guidelines.^5,21-25 There is great diversity in the types of hypertension treatment models studied, with few utilizing physician specialists and most utilizing nonphysician providers, such as community health workers, physician assistants, nurses, nurse practitioners, dietitians, social workers, and pharmacists.^22,26-29 These professionals share duties of hypertension management with primary care physicians to reduce the burden of responsibility for care on any single provider type. TBC is patient-centered, and typically includes interprofessional collaboration, treatment algorithms, adherence counseling, frequent follow-up, home blood pressure monitoring, and patient self-management education.

Numerous studies have supported implementation of TBC in recent years. A systematic review and meta-analysis of 100 trials of hypertension TBC involving 55,920 patients concluded that the most effective blood pressure–lowering strategies use multilevel, multicomponent approaches to address barriers to hypertension control. Nonphysician providers are often involved in measuring blood pressure, ordering and assessing laboratory tests, and titrating medications.³⁰ Compared with usual care, TBC with physician medication titration resulted in reductions in mean SBP and DBP (6.2 mm Hg and 2.7 mm Hg, respectively), while TBC with nonphysician medication titration also resulted in reductions in mean SBP and DBP (7.1 mm Hg and 3.1 mm Hg, respectively). Nurses and pharmacists are specifically mentioned by the 2017 ACC/AHA blood pressure guidelines as essential members of the hypertension treatment team.⁵ Randomized controlled trials (RCTs) and meta-analyses of TBC involving nurse or pharmacist interventions demonstrated greater reductions in SBP and/or greater attainment of blood pressure goals compared to usual care.^21,26,31,32 The literature supports the roles of nurses and pharmacists in hypertension management in all aspects of care, including medication management, patient education and counseling, coordination of care and follow-up, population health management, and performance measurement with quality improvement.³³

Nurses

Nurses are commonly part of TBC hypertension management programs. One meta-analysis and systematic review of international RCTs compared nurse, nurse prescriber (United Kingdom), and nurse practitioner interventions for hypertension with usual care. Interventions that included a stepped treatment algorithm and nurse prescribing showed greater reductions in SBP (8.2 mm Hg and 8.9 mm Hg, respectively) compared to usual care.³¹ Similarly, models that utilized telephone monitoring demonstrated greater achievement of blood pressure targets, while those that involved home monitoring showed significant reductions in blood pressure. Another international meta-analysis and systematic review of 11 nurse-led interventions in hypertensive patients with diabetes demonstrated a 5.8 mm Hg mean decrease in SBP compared to physician-led care. However, nurse-led care was not superior in achievement of study targets.³⁴

A recent meta-analysis and systematic review, performed by Shaw and colleagues, sought to determine whether nurse-led protocols are effective for outpatient management of adults with diabetes, hypertension, and hyperlipidemia. All of the included studies involved a registered nurse who titrated medications by following a protocol, and most were RCTs comparing the nurse protocols to usual care. Overall, mean SBP and DBP decreased by 3.86 mm Hg and 1.56 mm Hg, respectively, while blood glucose and lipid levels were also reduced compared to usual care.²⁴

Limited RCT data have been published since the Shaw et al meta-analysis. A single-blind RCT was performed in an urban community health care center in China among patients with uncontrolled blood pressure (SBP ≥ 140 mm Hg and/or DBP ≥ 90 mm Hg).³⁵ The study group received care via a nurse-led model, which included a delivery design system, decision support, clinical information system, and self-management support, and the control group received usual care. At 12 weeks, patients in the study group had significantly lower blood pressure than control patients, with mean SBP/DBP reduction of 14.37/7.43 mm Hg and 5.10/2.69 mm Hg, respectively (P < 0.01). Improved medication adherence and increased patient satisfaction were other benefits of the nurse-led model.

Nurse case managers (NCM) also play a critical role in hypertension management, coordinating health care services to meet patient health needs. Ogedegbe sought to evaluate the comparative effectiveness of home blood pressure telemonitoring (HBPTM)+NCM versus HBPTM alone on SBP reduction in black and Hispanic stroke survivors.^36,37 NCMs evaluated patient profiles, counseled patients on target lifestyle behaviors, and reviewed home blood pressure data. At 6 months, SBP declined by 13.63 mm Hg from baseline in the HBPTM+NCM group and 6.31 mm Hg in the HBPTM alone group (P < 0.0001). At 12 months, SBP in the HBPTM+NCM group declined by 14.76 mm Hg, while blood pressure in the HBPTM alone group declined by 5.53 mm Hg (P < 0.0001).

Pharmacists

Clinical pharmacists are also widely utilized in TBC models for hypertension management. Typical models involve pharmacists entering into collaborative practice agreements with physicians, leading to optimization of medications, avoidance of adverse drug events, and transitional care activities focusing on medication reconciliation and patient education in outpatient settings.^30,38 The largest and most recent meta-analysis of pharmacist interventions, conducted in 2014 by Santschi et al,²³ combined 2 previous systematic reviews to include a total of 39 RCTs with 14,224 patients.^32,39 Pharmacist interventions included patient education, recommendations to physicians, and medication management. Compared with usual care, pharmacist interventions showed greater reductions in SBP (7.6 mm Hg) and DBP (3.9 mm Hg).²³

Numerous studies substantiating the impact of pharmacist interventions on clinical outcomes have heavily influenced clinical practice and guideline development. Carter et al conducted a prospective, multi-state, cluster-randomized trial in 32 primary care clinics to evaluate whether clinics randomized to receive the pharmacist-physician collaborative care model (PPCCM) achieved better blood pressure outcomes versus clinics randomized to usual care.²⁵ Investigators enrolled 625 patients with uncontrolled hypertension, 50% of whom had a prior diagnosis of diabetes mellitus or chronic kidney disease. The primary outcome of blood pressure control at 9 months in the intervention clinics compared to the control clinics was 43% and 34%, respectively (P = 0.059). The difference in mean SBP/DBP between the intervention and control clinics for all patients at 9 months was −6.1/−2.9 mm Hg. In a post-hoc analysis of patients with chronic kidney disease and diabetes, the pharmacist-intervention group had a significantly greater mean SBP reduction and higher blood pressure control rates compared to usual care at 9 months.⁴⁰

A pre-specified secondary analysis from the Carter et al study determined that, in patients from racial minority groups, the mean SBP was 7.3 mm Hg lower in those who received the intervention compared to those in the control group (P = 0.0042).⁴¹ In patients with less than 12 years of education, those in the intervention group had a mean SBP 8.1 mm Hg lower than the SBP of those in the control group (P = 0.0001). Similar reductions in blood pressure occurred in patients with low income, Medicaid beneficiaries, or those without insurance. This study demonstrated that pharmacist interventions reduced racial and socioeconomic disparities in blood pressure treatment.

Other studies of pharmacist interventions in underserved populations have yielded positive results. In a retrospective review of uninsured patients, blood pressure control rates in a pharmacist-driven primary care clinic ranked in the 90th percentile of NCQA benchmarks, and was superior to the 2013 reported mean for commercial insurers.⁴² Similarly, another retrospective cohort study of a PPCCM on time to goal blood pressure in uninsured patients with hypertension showed the median time to blood pressure goal was 36 days in the PPCCM cohort versus 259 days in usual care cohorts (P < 0.001).⁴³ A post-hoc analysis revealed the mean time-in-therapeutic blood pressure range was 46.2% ± 24.3% in the PPCCM group and 24.8% ± 27.4% in the usual care group (P < 0.0001). The blood pressure control rates at 12 months were 89% in the PPCCM group compared with 50% in the usual care group (P < 0.0001).⁴⁴

Tsuyuki et al conducted the RxACTION study, a multicenter RCT evaluating the effectiveness of enhanced pharmacist care versus usual care in 23 Canadian community pharmacies and outpatient clinics following a 6-month intervention.⁴⁵ Enhanced pharmacy services included pharmacist assessment of and counseling about cardiovascular disease risk and blood pressure control, review of current antihypertensive medications, and prescribing/titrating drug therapy, as needed, through independent prescriptive authority. Compared to the usual care group (n = 67), the intervention group had a reduction in SBP of 6.6 mm Hg (P = 0.006) and in DBP of 3.2 mm Hg (P = 0.01). This study expanded the pharmacists’ scope of practice, showing evidence for enhancing pharmacist roles on the hypertension care team. Tsuyuki et al also conducted the RxEACH randomized trial, which evaluated community pharmacist cardiovascular risk reduction interventions and showed an improvement in SBP and DBP, with reported results comparable to RxACTION.⁴⁶

Victor et al conducted the landmark Black Barbershop Study, a cluster RCT involving 319 non-Hispanic black male patients with hypertension from 52 black-owned barbershops.^47,48 Barbershops were assigned to 1 of 2 groups. The control group consisted of barbers who encouraged lifestyle modifications and made referrals to primary care providers. The intervention group had pharmacists who met regularly with participants at the barbershops and measured blood pressure, encouraged lifestyle changes, and prescribed drug therapy under collaborative practice agreements with physicians. Both groups demonstrated improvements in blood pressure outcomes, but the intervention group showed greater improvement in SBP and achievement of blood pressure goals compared to the control group. The results in the intervention group proved sustainable over the course of a year, even after the frequency of pharmacists’ visits was reduced. At 6 months, the mean SBP fell by 27.0 mm Hg (to 125.8 mm Hg) in the intervention group, as compared to a 9.3 mm Hg (to 145.4 mm Hg) reduction in the control group (P < 0.001), and blood pressure less than 130/80 mm Hg was achieved among 63.6% of the participants in the intervention group versus 11.7% in the control group (P < 0.001).

This community-level trial brought pharmacists to the barbershop and made them an essential part of the health care team through the endorsement of the barber, who the participants trusted and with whom they had a relationship. Long-standing issues related to distrust of the medical profession by this population were addressed, and trusted community barbershops were utilized as safe spaces for health care delivery. Health care professionals should consider utilizing community locations that other minority populations perceive as social centers and safe places, to reduce health disparities and barriers to care. However, models that bring care to patients need further economic and feasibility evaluations.

Other Health Care Professionals and Future Studies

In addition to models led by nurses and pharmacists, studies have also assessed models of TBC incorporating other health care professionals, including registered dietitians, medical assistants, community health workers, and health coaches (NCT02674464).^49,50 Ongoing studies are also looking at the impact of TBC on underserved communities (NCT02674464, NCT03504124). Involving a variety of health care professionals with different communities and populations in TBC studies is warranted to determine the optimal settings in which to utilize different skill sets.

The Impress Study involves nurses who are assessing lifestyle risk and developing an action plan according to a standardized procedure, which may be advantageous given the degree of heterogeneity found in other TBC models.⁵¹ There are also studies underway or recently published that compare different components of TBC in order to determine which combination of TBC elements is preferred. Some of these have shown the benefits of using clinical decision-support systems (through a guideline-based treatment protocol) or training programs with ongoing support.^52,53 Continued research comparing different TBC models is needed to determine which combination of health professionals and interventions is most impactful in practice.

Cost-Effectiveness

According to the CDC, TBC in hypertension management has proven to be cost-effective.⁵⁴ Systematic reviews and meta-analyses assessing the cost-effectiveness of TBC in hypertension management have been conducted.^{26,27,29,55-58} While the general consensus supports this approach as being cost-effective, these determinations are based on studies that are widely heterogeneous. In each of these studies, different types of costs are taken into account when determining cost-effectiveness. The range of costs can be quite wide, depending on how they are calculated, making it difficult to determine the true cost-effectiveness of different TBC models.

Intervention cost is represented by the amount of money spent to implement and maintain the intervention beyond the cost of usual care or the cost without the intervention. For TBC, intervention cost consists of personnel resources such as provider time, patient time, and non-personnel resources, including rent and utilities. Studies show that intervention costs for TBC can range from $35 to $1350 per person per year (mean, $618; median, $428).^27,56 One analysis, based on 20 studies comparing TBC to usual care, calculated an intervention cost of $284 per person per year,⁵⁵ while another study showed an intervention cost of $525 per enrollee per year.⁵⁶ Intervention cost can vary by the type of provider that is used, the amount of time spent per patient, and the setting where services are provided. Overall, the intervention cost of implementing TBC for hypertension management is consistently higher than the cost of usual care.

Health care cost is another factor to consider. It is the difference in the cost of health care products and services that are utilized in the process of TBC, as compared to care that is provided in the absence of TBC. Health care costs include the costs associated with hospitalizations, outpatient visits, emergency room visits, and medications. One study estimated a median health care cost of hypertension TBC of $65 per person per year.⁵⁵ Overall, studies evaluating the impact of TBC for hypertension management on health care costs were mixed, with some showing that TBC resulted in an increase in health care cost, and others showing a savings compared to usual care.⁵⁸ The variability in health care costs was due to the different number of health care components and comorbidities of the patients included in the studies. Also, study duration affected the estimated health care costs of TBC. Most studies did not assess long-term health care cost savings that could be achieved from prolonged blood pressure control.⁵⁸ When considering both intervention and health care cost, Jacob et al estimated that TBC increased overall net cost by a median value of $329 per person per year.⁵⁵ While some studies did attribute an overall reduction in health care costs to TBC for hypertension management, on average, team-based models increased health care costs compared to usual care.^{27,29,55,58,59}

However, health care costs do not take into account the long-term reductions in morbidity and mortality or increased quality-adjusted life years (QALY) that result from improved blood pressure control attributed to TBC. In most cost-effectiveness studies, an intervention is considered to be cost-effective if the cost per QALY gained is less than the accepted threshold of $50,000.⁵⁵ One study estimated that the cost per QALY of TBC in hypertension management is $4763,^55,60 while another study estimated a median cost per QALY of $9716 to $13,992.⁵⁵ A systematic review of 34 international studies estimated the median cost per QALY to be $13,986, ranging from $6683 to $58,610.⁵⁷ The wide range in cost can be attributed to the variability in interventions, health outcomes used to measure effectiveness, and the settings and countries where the studies were conducted. In another study, a TBC intervention involving pharmacists resulted in a cost per QALY of $26,800.⁶¹ The intervention was found to be cost-effective for higher-risk patients, defined as those having diabetes, a smoking history, dyslipidemia, or obesity. For patients who did not have these risk factors, the cost per QALY increased to $43,330.⁶¹ Thus, the patient population should be considered before implementing a TBC model. Furthermore, the increased use of technology, allowing for more efficient provision of services and communication between providers, could reduce intervention costs and lead to increased cost efficacy in these models.

The variation in the models used for TBC makes it difficult to draw conclusions on the cost-effectiveness of these interventions. Although it is apparent that TBC in general is cost-effective, more studies are needed comparing different team-based models to determine which specific ones are most cost-effective.

Challenges to Implementation of Team-Based Care

Recognizing and addressing the challenges inherent to a TBC approach is important to the sustainability of such a model within various settings and institutions. Numerous studies conducted on team-based models have identified common challenges that appear to be consistent across multiple settings. These challenges can be categorized as financial, provider-specific, and technology.

Financial Barriers

Although studies have demonstrated the cost-effectiveness of controlling hypertension and preventing serious complications, health systems are still confronted with the challenge of covering the cost for TBC implementation and maintenance.²⁹ The 2 main financial barriers for TBC services are stakeholder engagement and reimbursement for services. According to Kennelty et al, stakeholder engagement is key to the sustainability of the service.²⁷ However, decisions by stakeholders on cost are influenced by many factors, which include available funds, perceived value, and estimates for return on investment. Additionally, interventions must align with the organization’s mission and vision and be feasible to implement, and organizations must have the capacity for administrative support.²⁹ These various financial decisions may greatly influence the sustainability of a TBC model.

The reimbursement challenges for individual providers are an additional barrier to the sustainability of the service. In the United States, most providers are reimbursed via fee-for-service payment plans, but these plans do not reimburse all clinical providers because they are not all recognized as licensed providers.^62,63 For example, pharmacists are not recognized by the Centers for Medicare & Medicaid Services as licensed health care providers, which limits their ability to be reimbursed for clinical services provided outside of a traditional dispensing role. Furthermore, state laws determine the services nonphysician providers can offer and how they are recognized for reimbursement by tertiary payers. For instance, pharmacist roles, such as ordering labs and modifying or prescribing medication regimens, vary greatly between states.^7,63,64

Financial barriers are a major challenge facing the sustainability of a TBC hypertension service, so including all stakeholders in the decision-making process may improve the organization’s ability to sustain the service.

Provider-Specific Barriers

Notable barriers that are attributed to providers include lack of knowledge, lack of time, lack of initiative to change blood pressure medications, and inability to reach intensive blood pressure goals set in guidelines.²⁹ Studies such as the SPRINT trial have significantly impacted clinical guideline cut-offs for blood pressure, but reaching the intensive blood pressure goals from clinical trials is difficult to emulate in clinical practice.⁶⁵ In a typical clinical setting, providers may lack the confidence to make adjustments in therapy based on a single blood pressure measurement, and clinical inertia, defined as failure of health care providers to modify therapy when indicated,⁶⁶ may contribute to the inability to achieve blood pressure goals. Many factors contribute to clinical inertia, including lack of knowledge, time, or clinical protocols on how to modify therapy, causing providers to delay clinical decisions. Implementing site-specific protocols and utilizing hypertension specialist health care professionals in TBC can address the barriers contributing to clinical inertia.

Technology Barriers

A common barrier in a variety of services, but especially prevalent in a TBC service, is access to an electronic health record (EHR) for all providers treating the patient. Some providers who are not directly tied to the same clinical site as the patient’s primary care provider may not have adequate access to the full EHR. For example, pharmacists who are managing hypertension in a TBC model in a community pharmacy may have access only to health information from prescription records. Patient interviews may not provide the pharmacist with adequate information about laboratory results, vitals, and other medical information and history for the patient, making it difficult for the pharmacist to make a proper recommendation for treatment.²⁷ Depending on the setting, communication between providers may be a barrier in achieving optimal outcomes, especially when providers do not have access to a shared medical record.

In addition, patients often lack access to technology used to manage hypertension. Many new technologies exist that aid patients in managing their blood pressure, such as smart phone applications to track blood pressure readings and alarms to remind patients to take their medications. Studies have shown that telemonitoring of blood pressure measurements and management of hypertension, especially in combination with TBC, is effective and reduces costs compared to usual care.⁶⁷ However, the lack of equal access to the various technologies available may inhibit the success of a TBC hypertension program. Patients may lack access, knowledge, or financial means to utilize the various methods available for managing their hypertension electronically.²⁹

Conclusion

Incorporating nonphysician providers into the health care team for the treatment of hypertension has proven to be more effective than usual care and has been recognized by recent guidelines as a best practice approach to achieving blood pressure goals. Multiple studies have demonstrated that TBC utilizing nurses and pharmacists can improve blood pressure management. While adding members to the team increases health care costs, the long-term benefits of achieving optimal blood pressure goals contribute to the overall cost-effectiveness of TBC strategies over usual care. However, comparisons between different TBC models are warranted to determine which combination of health care professionals and/or interventions is most effective. Cost-analysis estimates are difficult to compare due to widely varied methodology and variance in the models that have been employed. Studies must consider pathways to overcoming reimbursement issues, provider-specific challenges, and technology barriers. Follow-up and monitoring after initiation of drug therapy for hypertension control should include systematic strategies to help improve blood pressure, including use of home blood pressure monitoring, TBC, and telehealth strategies. Future implementation science approaches to hypertension TBC models within specific clinic settings will be useful to identify and overcome challenges and will help to determine the populations who will benefit most, allowing for greater success in sustaining TBC models.

Corresponding author: Shawn R. Smith, PharmD, 309 E. 2nd Street, Pomona, CA 91766; [email protected].

Financial disclosures: None.

From Western University of Health Sciences College of Pharmacy, Department of Pharmacy Practice and Administration, Pomona, CA.

Abstract

• Objective: To review the current literature regarding the clinical effectiveness and cost-effectiveness of implementing hypertension team-based care (TBC) interventions in the outpatient setting, and discuss challenges to implementation.
• Methods: A literature review was conducted of meta-analyses, systematic reviews, and randomized controlled trials comparing TBC models to usual care for hypertension management.
• Results: Compared to usual care, TBC models have demonstrated greater blood pressure reductions and improved blood pressure control rates. Evidence was strongest for models involving nurses and pharmacists whose roles included medication management, patient education and counseling, coordination of care and follow-up, population health management, and performance measurement with quality improvement. Although TBC results in an increase in health care costs, the overall long-term benefits support the cost-effectiveness of these models over usual care. The most common barriers to TBC implementation include underutilization of technology, stakeholder engagement, and reimbursement issues.
• Conclusion: Hypertension TBC models have been shown to be clinically effective and cost-effective, but continued research comparing different models is warranted to determine which combination of health professionals and interventions is most impactful and cost-effective in practice. An implementation science approach, in which TBC models unique to each organization’s situation are created, will be useful to identify and overcome challenges and provide a solid foundation for sustainment.

Keywords: blood pressure; pharmacist; nurse; nurse practitioner; cost-effectiveness; team-based care.

Approximately 1 in 3 US adults—or about 100 million people—have high blood pressure, and only about half (48%) have their blood pressure under control.¹ Effective blood pressure management has been shown to decrease the incidence of stroke, heart attack, and heart failure.^2-4 The American College of Cardiology/American Heart Association (ACC/AHA) 2017 blood pressure guidelines recommended lower thresholds for diagnosing hypertension and initiating antihypertensive medication, and intensified the blood pressure goal to less than 130/80 mm Hg.⁵ Changing practice standards to more intensive blood pressure goals requires significant adjustments by clinicians and health care systems. In fact, new guideline uptake is often delayed, ignored, or sparsely applied.⁶ Due to this dramatic change in hypertension practice standards, the ACC/AHA guidelines support interdisciplinary team-based care (TBC) for hypertension management.^5,7 Additionally, the Centers for Disease Control and Prevention (CDC) and the Community Preventive Services Task Force (CPSTF) promote TBC to improve blood pressure control in their initiatives to prevent heart disease and stroke.^8,9

The National Academy of Medicine defines TBC as “the provision of health services to individuals, families, and/or their communities by at least 2 healthcare providers who work collaboratively with patients and their caregivers—to the extent preferred by each patient—to accomplish shared goals within and across settings to achieve coordinated, high-quality care.”¹⁰ Specific goals for TBC in hypertension treatment are listed in Table 1, and a checklist of key elements of TBC to consider before implementation are presented in Table 2.

TBC has been shown to have many advantages, including increased access to care due to expanded hours of operation and shorter wait times.¹¹ Team-based models also provide effective and efficient delivery of patient education, behavioral health care, and care coordination.^12-14 Patients are more likely to receive high-quality care when multiple providers, each with varied expertise, are on the health care team.^11,15 Furthermore, clinicians report improved professional job satisfaction related to their ability to practice in environments where they are encouraged to work at the top of their licenses.¹⁶ Consequently, TBC has been accepted as a vital part of the patient-centered medical home (PCMH) model.^17-19 Standards set by the National Committee for Quality Assurance (NCQA) include TBC as a requirement health systems must meet in order to achieve the highest level of PCMH recognition. While a team-based approach offers substantial benefits and is recognized as a marker of quality, implementation has presented various challenges, and the sustainability of these models in care settings has been questioned.²⁰

In this article, we review the current literature regarding the clinical effectiveness and cost-effectiveness of implementing hypertension TBC interventions in the outpatient setting. We also discuss the challenges and opportunities of implementing this strategy in health systems and community settings in the United States.

Evidence of Impact and Effectiveness

Various models of hypertension TBC have been shown to increase the proportion of individuals with controlled blood pressure and to lead to a reduction in both systolic (SBP) and diastolic blood pressure (DBP), resulting in a strong recommendation for TBC approaches by the 2017 ACC/AHA blood pressure guidelines.^5,21-25 There is great diversity in the types of hypertension treatment models studied, with few utilizing physician specialists and most utilizing nonphysician providers, such as community health workers, physician assistants, nurses, nurse practitioners, dietitians, social workers, and pharmacists.^22,26-29 These professionals share duties of hypertension management with primary care physicians to reduce the burden of responsibility for care on any single provider type. TBC is patient-centered, and typically includes interprofessional collaboration, treatment algorithms, adherence counseling, frequent follow-up, home blood pressure monitoring, and patient self-management education.

Numerous studies have supported implementation of TBC in recent years. A systematic review and meta-analysis of 100 trials of hypertension TBC involving 55,920 patients concluded that the most effective blood pressure–lowering strategies use multilevel, multicomponent approaches to address barriers to hypertension control. Nonphysician providers are often involved in measuring blood pressure, ordering and assessing laboratory tests, and titrating medications.³⁰ Compared with usual care, TBC with physician medication titration resulted in reductions in mean SBP and DBP (6.2 mm Hg and 2.7 mm Hg, respectively), while TBC with nonphysician medication titration also resulted in reductions in mean SBP and DBP (7.1 mm Hg and 3.1 mm Hg, respectively). Nurses and pharmacists are specifically mentioned by the 2017 ACC/AHA blood pressure guidelines as essential members of the hypertension treatment team.⁵ Randomized controlled trials (RCTs) and meta-analyses of TBC involving nurse or pharmacist interventions demonstrated greater reductions in SBP and/or greater attainment of blood pressure goals compared to usual care.^21,26,31,32 The literature supports the roles of nurses and pharmacists in hypertension management in all aspects of care, including medication management, patient education and counseling, coordination of care and follow-up, population health management, and performance measurement with quality improvement.³³

Nurses

Nurses are commonly part of TBC hypertension management programs. One meta-analysis and systematic review of international RCTs compared nurse, nurse prescriber (United Kingdom), and nurse practitioner interventions for hypertension with usual care. Interventions that included a stepped treatment algorithm and nurse prescribing showed greater reductions in SBP (8.2 mm Hg and 8.9 mm Hg, respectively) compared to usual care.³¹ Similarly, models that utilized telephone monitoring demonstrated greater achievement of blood pressure targets, while those that involved home monitoring showed significant reductions in blood pressure. Another international meta-analysis and systematic review of 11 nurse-led interventions in hypertensive patients with diabetes demonstrated a 5.8 mm Hg mean decrease in SBP compared to physician-led care. However, nurse-led care was not superior in achievement of study targets.³⁴

A recent meta-analysis and systematic review, performed by Shaw and colleagues, sought to determine whether nurse-led protocols are effective for outpatient management of adults with diabetes, hypertension, and hyperlipidemia. All of the included studies involved a registered nurse who titrated medications by following a protocol, and most were RCTs comparing the nurse protocols to usual care. Overall, mean SBP and DBP decreased by 3.86 mm Hg and 1.56 mm Hg, respectively, while blood glucose and lipid levels were also reduced compared to usual care.²⁴

Limited RCT data have been published since the Shaw et al meta-analysis. A single-blind RCT was performed in an urban community health care center in China among patients with uncontrolled blood pressure (SBP ≥ 140 mm Hg and/or DBP ≥ 90 mm Hg).³⁵ The study group received care via a nurse-led model, which included a delivery design system, decision support, clinical information system, and self-management support, and the control group received usual care. At 12 weeks, patients in the study group had significantly lower blood pressure than control patients, with mean SBP/DBP reduction of 14.37/7.43 mm Hg and 5.10/2.69 mm Hg, respectively (P < 0.01). Improved medication adherence and increased patient satisfaction were other benefits of the nurse-led model.

Nurse case managers (NCM) also play a critical role in hypertension management, coordinating health care services to meet patient health needs. Ogedegbe sought to evaluate the comparative effectiveness of home blood pressure telemonitoring (HBPTM)+NCM versus HBPTM alone on SBP reduction in black and Hispanic stroke survivors.^36,37 NCMs evaluated patient profiles, counseled patients on target lifestyle behaviors, and reviewed home blood pressure data. At 6 months, SBP declined by 13.63 mm Hg from baseline in the HBPTM+NCM group and 6.31 mm Hg in the HBPTM alone group (P < 0.0001). At 12 months, SBP in the HBPTM+NCM group declined by 14.76 mm Hg, while blood pressure in the HBPTM alone group declined by 5.53 mm Hg (P < 0.0001).

Pharmacists

Clinical pharmacists are also widely utilized in TBC models for hypertension management. Typical models involve pharmacists entering into collaborative practice agreements with physicians, leading to optimization of medications, avoidance of adverse drug events, and transitional care activities focusing on medication reconciliation and patient education in outpatient settings.^30,38 The largest and most recent meta-analysis of pharmacist interventions, conducted in 2014 by Santschi et al,²³ combined 2 previous systematic reviews to include a total of 39 RCTs with 14,224 patients.^32,39 Pharmacist interventions included patient education, recommendations to physicians, and medication management. Compared with usual care, pharmacist interventions showed greater reductions in SBP (7.6 mm Hg) and DBP (3.9 mm Hg).²³

Numerous studies substantiating the impact of pharmacist interventions on clinical outcomes have heavily influenced clinical practice and guideline development. Carter et al conducted a prospective, multi-state, cluster-randomized trial in 32 primary care clinics to evaluate whether clinics randomized to receive the pharmacist-physician collaborative care model (PPCCM) achieved better blood pressure outcomes versus clinics randomized to usual care.²⁵ Investigators enrolled 625 patients with uncontrolled hypertension, 50% of whom had a prior diagnosis of diabetes mellitus or chronic kidney disease. The primary outcome of blood pressure control at 9 months in the intervention clinics compared to the control clinics was 43% and 34%, respectively (P = 0.059). The difference in mean SBP/DBP between the intervention and control clinics for all patients at 9 months was −6.1/−2.9 mm Hg. In a post-hoc analysis of patients with chronic kidney disease and diabetes, the pharmacist-intervention group had a significantly greater mean SBP reduction and higher blood pressure control rates compared to usual care at 9 months.⁴⁰

A pre-specified secondary analysis from the Carter et al study determined that, in patients from racial minority groups, the mean SBP was 7.3 mm Hg lower in those who received the intervention compared to those in the control group (P = 0.0042).⁴¹ In patients with less than 12 years of education, those in the intervention group had a mean SBP 8.1 mm Hg lower than the SBP of those in the control group (P = 0.0001). Similar reductions in blood pressure occurred in patients with low income, Medicaid beneficiaries, or those without insurance. This study demonstrated that pharmacist interventions reduced racial and socioeconomic disparities in blood pressure treatment.

Other studies of pharmacist interventions in underserved populations have yielded positive results. In a retrospective review of uninsured patients, blood pressure control rates in a pharmacist-driven primary care clinic ranked in the 90th percentile of NCQA benchmarks, and was superior to the 2013 reported mean for commercial insurers.⁴² Similarly, another retrospective cohort study of a PPCCM on time to goal blood pressure in uninsured patients with hypertension showed the median time to blood pressure goal was 36 days in the PPCCM cohort versus 259 days in usual care cohorts (P < 0.001).⁴³ A post-hoc analysis revealed the mean time-in-therapeutic blood pressure range was 46.2% ± 24.3% in the PPCCM group and 24.8% ± 27.4% in the usual care group (P < 0.0001). The blood pressure control rates at 12 months were 89% in the PPCCM group compared with 50% in the usual care group (P < 0.0001).⁴⁴

Tsuyuki et al conducted the RxACTION study, a multicenter RCT evaluating the effectiveness of enhanced pharmacist care versus usual care in 23 Canadian community pharmacies and outpatient clinics following a 6-month intervention.⁴⁵ Enhanced pharmacy services included pharmacist assessment of and counseling about cardiovascular disease risk and blood pressure control, review of current antihypertensive medications, and prescribing/titrating drug therapy, as needed, through independent prescriptive authority. Compared to the usual care group (n = 67), the intervention group had a reduction in SBP of 6.6 mm Hg (P = 0.006) and in DBP of 3.2 mm Hg (P = 0.01). This study expanded the pharmacists’ scope of practice, showing evidence for enhancing pharmacist roles on the hypertension care team. Tsuyuki et al also conducted the RxEACH randomized trial, which evaluated community pharmacist cardiovascular risk reduction interventions and showed an improvement in SBP and DBP, with reported results comparable to RxACTION.⁴⁶

Victor et al conducted the landmark Black Barbershop Study, a cluster RCT involving 319 non-Hispanic black male patients with hypertension from 52 black-owned barbershops.^47,48 Barbershops were assigned to 1 of 2 groups. The control group consisted of barbers who encouraged lifestyle modifications and made referrals to primary care providers. The intervention group had pharmacists who met regularly with participants at the barbershops and measured blood pressure, encouraged lifestyle changes, and prescribed drug therapy under collaborative practice agreements with physicians. Both groups demonstrated improvements in blood pressure outcomes, but the intervention group showed greater improvement in SBP and achievement of blood pressure goals compared to the control group. The results in the intervention group proved sustainable over the course of a year, even after the frequency of pharmacists’ visits was reduced. At 6 months, the mean SBP fell by 27.0 mm Hg (to 125.8 mm Hg) in the intervention group, as compared to a 9.3 mm Hg (to 145.4 mm Hg) reduction in the control group (P < 0.001), and blood pressure less than 130/80 mm Hg was achieved among 63.6% of the participants in the intervention group versus 11.7% in the control group (P < 0.001).

This community-level trial brought pharmacists to the barbershop and made them an essential part of the health care team through the endorsement of the barber, who the participants trusted and with whom they had a relationship. Long-standing issues related to distrust of the medical profession by this population were addressed, and trusted community barbershops were utilized as safe spaces for health care delivery. Health care professionals should consider utilizing community locations that other minority populations perceive as social centers and safe places, to reduce health disparities and barriers to care. However, models that bring care to patients need further economic and feasibility evaluations.

Other Health Care Professionals and Future Studies

In addition to models led by nurses and pharmacists, studies have also assessed models of TBC incorporating other health care professionals, including registered dietitians, medical assistants, community health workers, and health coaches (NCT02674464).^49,50 Ongoing studies are also looking at the impact of TBC on underserved communities (NCT02674464, NCT03504124). Involving a variety of health care professionals with different communities and populations in TBC studies is warranted to determine the optimal settings in which to utilize different skill sets.

The Impress Study involves nurses who are assessing lifestyle risk and developing an action plan according to a standardized procedure, which may be advantageous given the degree of heterogeneity found in other TBC models.⁵¹ There are also studies underway or recently published that compare different components of TBC in order to determine which combination of TBC elements is preferred. Some of these have shown the benefits of using clinical decision-support systems (through a guideline-based treatment protocol) or training programs with ongoing support.^52,53 Continued research comparing different TBC models is needed to determine which combination of health professionals and interventions is most impactful in practice.

Cost-Effectiveness

According to the CDC, TBC in hypertension management has proven to be cost-effective.⁵⁴ Systematic reviews and meta-analyses assessing the cost-effectiveness of TBC in hypertension management have been conducted.^{26,27,29,55-58} While the general consensus supports this approach as being cost-effective, these determinations are based on studies that are widely heterogeneous. In each of these studies, different types of costs are taken into account when determining cost-effectiveness. The range of costs can be quite wide, depending on how they are calculated, making it difficult to determine the true cost-effectiveness of different TBC models.

Intervention cost is represented by the amount of money spent to implement and maintain the intervention beyond the cost of usual care or the cost without the intervention. For TBC, intervention cost consists of personnel resources such as provider time, patient time, and non-personnel resources, including rent and utilities. Studies show that intervention costs for TBC can range from $35 to $1350 per person per year (mean, $618; median, $428).^27,56 One analysis, based on 20 studies comparing TBC to usual care, calculated an intervention cost of $284 per person per year,⁵⁵ while another study showed an intervention cost of $525 per enrollee per year.⁵⁶ Intervention cost can vary by the type of provider that is used, the amount of time spent per patient, and the setting where services are provided. Overall, the intervention cost of implementing TBC for hypertension management is consistently higher than the cost of usual care.

Health care cost is another factor to consider. It is the difference in the cost of health care products and services that are utilized in the process of TBC, as compared to care that is provided in the absence of TBC. Health care costs include the costs associated with hospitalizations, outpatient visits, emergency room visits, and medications. One study estimated a median health care cost of hypertension TBC of $65 per person per year.⁵⁵ Overall, studies evaluating the impact of TBC for hypertension management on health care costs were mixed, with some showing that TBC resulted in an increase in health care cost, and others showing a savings compared to usual care.⁵⁸ The variability in health care costs was due to the different number of health care components and comorbidities of the patients included in the studies. Also, study duration affected the estimated health care costs of TBC. Most studies did not assess long-term health care cost savings that could be achieved from prolonged blood pressure control.⁵⁸ When considering both intervention and health care cost, Jacob et al estimated that TBC increased overall net cost by a median value of $329 per person per year.⁵⁵ While some studies did attribute an overall reduction in health care costs to TBC for hypertension management, on average, team-based models increased health care costs compared to usual care.^{27,29,55,58,59}

However, health care costs do not take into account the long-term reductions in morbidity and mortality or increased quality-adjusted life years (QALY) that result from improved blood pressure control attributed to TBC. In most cost-effectiveness studies, an intervention is considered to be cost-effective if the cost per QALY gained is less than the accepted threshold of $50,000.⁵⁵ One study estimated that the cost per QALY of TBC in hypertension management is $4763,^55,60 while another study estimated a median cost per QALY of $9716 to $13,992.⁵⁵ A systematic review of 34 international studies estimated the median cost per QALY to be $13,986, ranging from $6683 to $58,610.⁵⁷ The wide range in cost can be attributed to the variability in interventions, health outcomes used to measure effectiveness, and the settings and countries where the studies were conducted. In another study, a TBC intervention involving pharmacists resulted in a cost per QALY of $26,800.⁶¹ The intervention was found to be cost-effective for higher-risk patients, defined as those having diabetes, a smoking history, dyslipidemia, or obesity. For patients who did not have these risk factors, the cost per QALY increased to $43,330.⁶¹ Thus, the patient population should be considered before implementing a TBC model. Furthermore, the increased use of technology, allowing for more efficient provision of services and communication between providers, could reduce intervention costs and lead to increased cost efficacy in these models.

The variation in the models used for TBC makes it difficult to draw conclusions on the cost-effectiveness of these interventions. Although it is apparent that TBC in general is cost-effective, more studies are needed comparing different team-based models to determine which specific ones are most cost-effective.

Challenges to Implementation of Team-Based Care

Recognizing and addressing the challenges inherent to a TBC approach is important to the sustainability of such a model within various settings and institutions. Numerous studies conducted on team-based models have identified common challenges that appear to be consistent across multiple settings. These challenges can be categorized as financial, provider-specific, and technology.

Financial Barriers

Although studies have demonstrated the cost-effectiveness of controlling hypertension and preventing serious complications, health systems are still confronted with the challenge of covering the cost for TBC implementation and maintenance.²⁹ The 2 main financial barriers for TBC services are stakeholder engagement and reimbursement for services. According to Kennelty et al, stakeholder engagement is key to the sustainability of the service.²⁷ However, decisions by stakeholders on cost are influenced by many factors, which include available funds, perceived value, and estimates for return on investment. Additionally, interventions must align with the organization’s mission and vision and be feasible to implement, and organizations must have the capacity for administrative support.²⁹ These various financial decisions may greatly influence the sustainability of a TBC model.

The reimbursement challenges for individual providers are an additional barrier to the sustainability of the service. In the United States, most providers are reimbursed via fee-for-service payment plans, but these plans do not reimburse all clinical providers because they are not all recognized as licensed providers.^62,63 For example, pharmacists are not recognized by the Centers for Medicare & Medicaid Services as licensed health care providers, which limits their ability to be reimbursed for clinical services provided outside of a traditional dispensing role. Furthermore, state laws determine the services nonphysician providers can offer and how they are recognized for reimbursement by tertiary payers. For instance, pharmacist roles, such as ordering labs and modifying or prescribing medication regimens, vary greatly between states.^7,63,64

Financial barriers are a major challenge facing the sustainability of a TBC hypertension service, so including all stakeholders in the decision-making process may improve the organization’s ability to sustain the service.

Provider-Specific Barriers

Notable barriers that are attributed to providers include lack of knowledge, lack of time, lack of initiative to change blood pressure medications, and inability to reach intensive blood pressure goals set in guidelines.²⁹ Studies such as the SPRINT trial have significantly impacted clinical guideline cut-offs for blood pressure, but reaching the intensive blood pressure goals from clinical trials is difficult to emulate in clinical practice.⁶⁵ In a typical clinical setting, providers may lack the confidence to make adjustments in therapy based on a single blood pressure measurement, and clinical inertia, defined as failure of health care providers to modify therapy when indicated,⁶⁶ may contribute to the inability to achieve blood pressure goals. Many factors contribute to clinical inertia, including lack of knowledge, time, or clinical protocols on how to modify therapy, causing providers to delay clinical decisions. Implementing site-specific protocols and utilizing hypertension specialist health care professionals in TBC can address the barriers contributing to clinical inertia.

Technology Barriers

A common barrier in a variety of services, but especially prevalent in a TBC service, is access to an electronic health record (EHR) for all providers treating the patient. Some providers who are not directly tied to the same clinical site as the patient’s primary care provider may not have adequate access to the full EHR. For example, pharmacists who are managing hypertension in a TBC model in a community pharmacy may have access only to health information from prescription records. Patient interviews may not provide the pharmacist with adequate information about laboratory results, vitals, and other medical information and history for the patient, making it difficult for the pharmacist to make a proper recommendation for treatment.²⁷ Depending on the setting, communication between providers may be a barrier in achieving optimal outcomes, especially when providers do not have access to a shared medical record.

In addition, patients often lack access to technology used to manage hypertension. Many new technologies exist that aid patients in managing their blood pressure, such as smart phone applications to track blood pressure readings and alarms to remind patients to take their medications. Studies have shown that telemonitoring of blood pressure measurements and management of hypertension, especially in combination with TBC, is effective and reduces costs compared to usual care.⁶⁷ However, the lack of equal access to the various technologies available may inhibit the success of a TBC hypertension program. Patients may lack access, knowledge, or financial means to utilize the various methods available for managing their hypertension electronically.²⁹

Conclusion

Incorporating nonphysician providers into the health care team for the treatment of hypertension has proven to be more effective than usual care and has been recognized by recent guidelines as a best practice approach to achieving blood pressure goals. Multiple studies have demonstrated that TBC utilizing nurses and pharmacists can improve blood pressure management. While adding members to the team increases health care costs, the long-term benefits of achieving optimal blood pressure goals contribute to the overall cost-effectiveness of TBC strategies over usual care. However, comparisons between different TBC models are warranted to determine which combination of health care professionals and/or interventions is most effective. Cost-analysis estimates are difficult to compare due to widely varied methodology and variance in the models that have been employed. Studies must consider pathways to overcoming reimbursement issues, provider-specific challenges, and technology barriers. Follow-up and monitoring after initiation of drug therapy for hypertension control should include systematic strategies to help improve blood pressure, including use of home blood pressure monitoring, TBC, and telehealth strategies. Future implementation science approaches to hypertension TBC models within specific clinic settings will be useful to identify and overcome challenges and will help to determine the populations who will benefit most, allowing for greater success in sustaining TBC models.

Corresponding author: Shawn R. Smith, PharmD, 309 E. 2nd Street, Pomona, CA 91766; [email protected].

Financial disclosures: None.

From Western University of Health Sciences College of Pharmacy, Department of Pharmacy Practice and Administration, Pomona, CA.

Abstract

• Objective: To review the current literature regarding the clinical effectiveness and cost-effectiveness of implementing hypertension team-based care (TBC) interventions in the outpatient setting, and discuss challenges to implementation.
• Methods: A literature review was conducted of meta-analyses, systematic reviews, and randomized controlled trials comparing TBC models to usual care for hypertension management.
• Results: Compared to usual care, TBC models have demonstrated greater blood pressure reductions and improved blood pressure control rates. Evidence was strongest for models involving nurses and pharmacists whose roles included medication management, patient education and counseling, coordination of care and follow-up, population health management, and performance measurement with quality improvement. Although TBC results in an increase in health care costs, the overall long-term benefits support the cost-effectiveness of these models over usual care. The most common barriers to TBC implementation include underutilization of technology, stakeholder engagement, and reimbursement issues.
• Conclusion: Hypertension TBC models have been shown to be clinically effective and cost-effective, but continued research comparing different models is warranted to determine which combination of health professionals and interventions is most impactful and cost-effective in practice. An implementation science approach, in which TBC models unique to each organization’s situation are created, will be useful to identify and overcome challenges and provide a solid foundation for sustainment.

Keywords: blood pressure; pharmacist; nurse; nurse practitioner; cost-effectiveness; team-based care.

Approximately 1 in 3 US adults—or about 100 million people—have high blood pressure, and only about half (48%) have their blood pressure under control.¹ Effective blood pressure management has been shown to decrease the incidence of stroke, heart attack, and heart failure.^2-4 The American College of Cardiology/American Heart Association (ACC/AHA) 2017 blood pressure guidelines recommended lower thresholds for diagnosing hypertension and initiating antihypertensive medication, and intensified the blood pressure goal to less than 130/80 mm Hg.⁵ Changing practice standards to more intensive blood pressure goals requires significant adjustments by clinicians and health care systems. In fact, new guideline uptake is often delayed, ignored, or sparsely applied.⁶ Due to this dramatic change in hypertension practice standards, the ACC/AHA guidelines support interdisciplinary team-based care (TBC) for hypertension management.^5,7 Additionally, the Centers for Disease Control and Prevention (CDC) and the Community Preventive Services Task Force (CPSTF) promote TBC to improve blood pressure control in their initiatives to prevent heart disease and stroke.^8,9

The National Academy of Medicine defines TBC as “the provision of health services to individuals, families, and/or their communities by at least 2 healthcare providers who work collaboratively with patients and their caregivers—to the extent preferred by each patient—to accomplish shared goals within and across settings to achieve coordinated, high-quality care.”¹⁰ Specific goals for TBC in hypertension treatment are listed in Table 1, and a checklist of key elements of TBC to consider before implementation are presented in Table 2.

TBC has been shown to have many advantages, including increased access to care due to expanded hours of operation and shorter wait times.¹¹ Team-based models also provide effective and efficient delivery of patient education, behavioral health care, and care coordination.^12-14 Patients are more likely to receive high-quality care when multiple providers, each with varied expertise, are on the health care team.^11,15 Furthermore, clinicians report improved professional job satisfaction related to their ability to practice in environments where they are encouraged to work at the top of their licenses.¹⁶ Consequently, TBC has been accepted as a vital part of the patient-centered medical home (PCMH) model.^17-19 Standards set by the National Committee for Quality Assurance (NCQA) include TBC as a requirement health systems must meet in order to achieve the highest level of PCMH recognition. While a team-based approach offers substantial benefits and is recognized as a marker of quality, implementation has presented various challenges, and the sustainability of these models in care settings has been questioned.²⁰

In this article, we review the current literature regarding the clinical effectiveness and cost-effectiveness of implementing hypertension TBC interventions in the outpatient setting. We also discuss the challenges and opportunities of implementing this strategy in health systems and community settings in the United States.

Evidence of Impact and Effectiveness

Various models of hypertension TBC have been shown to increase the proportion of individuals with controlled blood pressure and to lead to a reduction in both systolic (SBP) and diastolic blood pressure (DBP), resulting in a strong recommendation for TBC approaches by the 2017 ACC/AHA blood pressure guidelines.^5,21-25 There is great diversity in the types of hypertension treatment models studied, with few utilizing physician specialists and most utilizing nonphysician providers, such as community health workers, physician assistants, nurses, nurse practitioners, dietitians, social workers, and pharmacists.^22,26-29 These professionals share duties of hypertension management with primary care physicians to reduce the burden of responsibility for care on any single provider type. TBC is patient-centered, and typically includes interprofessional collaboration, treatment algorithms, adherence counseling, frequent follow-up, home blood pressure monitoring, and patient self-management education.

Numerous studies have supported implementation of TBC in recent years. A systematic review and meta-analysis of 100 trials of hypertension TBC involving 55,920 patients concluded that the most effective blood pressure–lowering strategies use multilevel, multicomponent approaches to address barriers to hypertension control. Nonphysician providers are often involved in measuring blood pressure, ordering and assessing laboratory tests, and titrating medications.³⁰ Compared with usual care, TBC with physician medication titration resulted in reductions in mean SBP and DBP (6.2 mm Hg and 2.7 mm Hg, respectively), while TBC with nonphysician medication titration also resulted in reductions in mean SBP and DBP (7.1 mm Hg and 3.1 mm Hg, respectively). Nurses and pharmacists are specifically mentioned by the 2017 ACC/AHA blood pressure guidelines as essential members of the hypertension treatment team.⁵ Randomized controlled trials (RCTs) and meta-analyses of TBC involving nurse or pharmacist interventions demonstrated greater reductions in SBP and/or greater attainment of blood pressure goals compared to usual care.^21,26,31,32 The literature supports the roles of nurses and pharmacists in hypertension management in all aspects of care, including medication management, patient education and counseling, coordination of care and follow-up, population health management, and performance measurement with quality improvement.³³

Nurses

Nurses are commonly part of TBC hypertension management programs. One meta-analysis and systematic review of international RCTs compared nurse, nurse prescriber (United Kingdom), and nurse practitioner interventions for hypertension with usual care. Interventions that included a stepped treatment algorithm and nurse prescribing showed greater reductions in SBP (8.2 mm Hg and 8.9 mm Hg, respectively) compared to usual care.³¹ Similarly, models that utilized telephone monitoring demonstrated greater achievement of blood pressure targets, while those that involved home monitoring showed significant reductions in blood pressure. Another international meta-analysis and systematic review of 11 nurse-led interventions in hypertensive patients with diabetes demonstrated a 5.8 mm Hg mean decrease in SBP compared to physician-led care. However, nurse-led care was not superior in achievement of study targets.³⁴

A recent meta-analysis and systematic review, performed by Shaw and colleagues, sought to determine whether nurse-led protocols are effective for outpatient management of adults with diabetes, hypertension, and hyperlipidemia. All of the included studies involved a registered nurse who titrated medications by following a protocol, and most were RCTs comparing the nurse protocols to usual care. Overall, mean SBP and DBP decreased by 3.86 mm Hg and 1.56 mm Hg, respectively, while blood glucose and lipid levels were also reduced compared to usual care.²⁴

Limited RCT data have been published since the Shaw et al meta-analysis. A single-blind RCT was performed in an urban community health care center in China among patients with uncontrolled blood pressure (SBP ≥ 140 mm Hg and/or DBP ≥ 90 mm Hg).³⁵ The study group received care via a nurse-led model, which included a delivery design system, decision support, clinical information system, and self-management support, and the control group received usual care. At 12 weeks, patients in the study group had significantly lower blood pressure than control patients, with mean SBP/DBP reduction of 14.37/7.43 mm Hg and 5.10/2.69 mm Hg, respectively (P < 0.01). Improved medication adherence and increased patient satisfaction were other benefits of the nurse-led model.

Nurse case managers (NCM) also play a critical role in hypertension management, coordinating health care services to meet patient health needs. Ogedegbe sought to evaluate the comparative effectiveness of home blood pressure telemonitoring (HBPTM)+NCM versus HBPTM alone on SBP reduction in black and Hispanic stroke survivors.^36,37 NCMs evaluated patient profiles, counseled patients on target lifestyle behaviors, and reviewed home blood pressure data. At 6 months, SBP declined by 13.63 mm Hg from baseline in the HBPTM+NCM group and 6.31 mm Hg in the HBPTM alone group (P < 0.0001). At 12 months, SBP in the HBPTM+NCM group declined by 14.76 mm Hg, while blood pressure in the HBPTM alone group declined by 5.53 mm Hg (P < 0.0001).

Pharmacists

Clinical pharmacists are also widely utilized in TBC models for hypertension management. Typical models involve pharmacists entering into collaborative practice agreements with physicians, leading to optimization of medications, avoidance of adverse drug events, and transitional care activities focusing on medication reconciliation and patient education in outpatient settings.^30,38 The largest and most recent meta-analysis of pharmacist interventions, conducted in 2014 by Santschi et al,²³ combined 2 previous systematic reviews to include a total of 39 RCTs with 14,224 patients.^32,39 Pharmacist interventions included patient education, recommendations to physicians, and medication management. Compared with usual care, pharmacist interventions showed greater reductions in SBP (7.6 mm Hg) and DBP (3.9 mm Hg).²³

Numerous studies substantiating the impact of pharmacist interventions on clinical outcomes have heavily influenced clinical practice and guideline development. Carter et al conducted a prospective, multi-state, cluster-randomized trial in 32 primary care clinics to evaluate whether clinics randomized to receive the pharmacist-physician collaborative care model (PPCCM) achieved better blood pressure outcomes versus clinics randomized to usual care.²⁵ Investigators enrolled 625 patients with uncontrolled hypertension, 50% of whom had a prior diagnosis of diabetes mellitus or chronic kidney disease. The primary outcome of blood pressure control at 9 months in the intervention clinics compared to the control clinics was 43% and 34%, respectively (P = 0.059). The difference in mean SBP/DBP between the intervention and control clinics for all patients at 9 months was −6.1/−2.9 mm Hg. In a post-hoc analysis of patients with chronic kidney disease and diabetes, the pharmacist-intervention group had a significantly greater mean SBP reduction and higher blood pressure control rates compared to usual care at 9 months.⁴⁰

A pre-specified secondary analysis from the Carter et al study determined that, in patients from racial minority groups, the mean SBP was 7.3 mm Hg lower in those who received the intervention compared to those in the control group (P = 0.0042).⁴¹ In patients with less than 12 years of education, those in the intervention group had a mean SBP 8.1 mm Hg lower than the SBP of those in the control group (P = 0.0001). Similar reductions in blood pressure occurred in patients with low income, Medicaid beneficiaries, or those without insurance. This study demonstrated that pharmacist interventions reduced racial and socioeconomic disparities in blood pressure treatment.

Other studies of pharmacist interventions in underserved populations have yielded positive results. In a retrospective review of uninsured patients, blood pressure control rates in a pharmacist-driven primary care clinic ranked in the 90th percentile of NCQA benchmarks, and was superior to the 2013 reported mean for commercial insurers.⁴² Similarly, another retrospective cohort study of a PPCCM on time to goal blood pressure in uninsured patients with hypertension showed the median time to blood pressure goal was 36 days in the PPCCM cohort versus 259 days in usual care cohorts (P < 0.001).⁴³ A post-hoc analysis revealed the mean time-in-therapeutic blood pressure range was 46.2% ± 24.3% in the PPCCM group and 24.8% ± 27.4% in the usual care group (P < 0.0001). The blood pressure control rates at 12 months were 89% in the PPCCM group compared with 50% in the usual care group (P < 0.0001).⁴⁴

Tsuyuki et al conducted the RxACTION study, a multicenter RCT evaluating the effectiveness of enhanced pharmacist care versus usual care in 23 Canadian community pharmacies and outpatient clinics following a 6-month intervention.⁴⁵ Enhanced pharmacy services included pharmacist assessment of and counseling about cardiovascular disease risk and blood pressure control, review of current antihypertensive medications, and prescribing/titrating drug therapy, as needed, through independent prescriptive authority. Compared to the usual care group (n = 67), the intervention group had a reduction in SBP of 6.6 mm Hg (P = 0.006) and in DBP of 3.2 mm Hg (P = 0.01). This study expanded the pharmacists’ scope of practice, showing evidence for enhancing pharmacist roles on the hypertension care team. Tsuyuki et al also conducted the RxEACH randomized trial, which evaluated community pharmacist cardiovascular risk reduction interventions and showed an improvement in SBP and DBP, with reported results comparable to RxACTION.⁴⁶

Victor et al conducted the landmark Black Barbershop Study, a cluster RCT involving 319 non-Hispanic black male patients with hypertension from 52 black-owned barbershops.^47,48 Barbershops were assigned to 1 of 2 groups. The control group consisted of barbers who encouraged lifestyle modifications and made referrals to primary care providers. The intervention group had pharmacists who met regularly with participants at the barbershops and measured blood pressure, encouraged lifestyle changes, and prescribed drug therapy under collaborative practice agreements with physicians. Both groups demonstrated improvements in blood pressure outcomes, but the intervention group showed greater improvement in SBP and achievement of blood pressure goals compared to the control group. The results in the intervention group proved sustainable over the course of a year, even after the frequency of pharmacists’ visits was reduced. At 6 months, the mean SBP fell by 27.0 mm Hg (to 125.8 mm Hg) in the intervention group, as compared to a 9.3 mm Hg (to 145.4 mm Hg) reduction in the control group (P < 0.001), and blood pressure less than 130/80 mm Hg was achieved among 63.6% of the participants in the intervention group versus 11.7% in the control group (P < 0.001).

This community-level trial brought pharmacists to the barbershop and made them an essential part of the health care team through the endorsement of the barber, who the participants trusted and with whom they had a relationship. Long-standing issues related to distrust of the medical profession by this population were addressed, and trusted community barbershops were utilized as safe spaces for health care delivery. Health care professionals should consider utilizing community locations that other minority populations perceive as social centers and safe places, to reduce health disparities and barriers to care. However, models that bring care to patients need further economic and feasibility evaluations.

Other Health Care Professionals and Future Studies

In addition to models led by nurses and pharmacists, studies have also assessed models of TBC incorporating other health care professionals, including registered dietitians, medical assistants, community health workers, and health coaches (NCT02674464).^49,50 Ongoing studies are also looking at the impact of TBC on underserved communities (NCT02674464, NCT03504124). Involving a variety of health care professionals with different communities and populations in TBC studies is warranted to determine the optimal settings in which to utilize different skill sets.

The Impress Study involves nurses who are assessing lifestyle risk and developing an action plan according to a standardized procedure, which may be advantageous given the degree of heterogeneity found in other TBC models.⁵¹ There are also studies underway or recently published that compare different components of TBC in order to determine which combination of TBC elements is preferred. Some of these have shown the benefits of using clinical decision-support systems (through a guideline-based treatment protocol) or training programs with ongoing support.^52,53 Continued research comparing different TBC models is needed to determine which combination of health professionals and interventions is most impactful in practice.

Cost-Effectiveness

According to the CDC, TBC in hypertension management has proven to be cost-effective.⁵⁴ Systematic reviews and meta-analyses assessing the cost-effectiveness of TBC in hypertension management have been conducted.^{26,27,29,55-58} While the general consensus supports this approach as being cost-effective, these determinations are based on studies that are widely heterogeneous. In each of these studies, different types of costs are taken into account when determining cost-effectiveness. The range of costs can be quite wide, depending on how they are calculated, making it difficult to determine the true cost-effectiveness of different TBC models.

Intervention cost is represented by the amount of money spent to implement and maintain the intervention beyond the cost of usual care or the cost without the intervention. For TBC, intervention cost consists of personnel resources such as provider time, patient time, and non-personnel resources, including rent and utilities. Studies show that intervention costs for TBC can range from $35 to $1350 per person per year (mean, $618; median, $428).^27,56 One analysis, based on 20 studies comparing TBC to usual care, calculated an intervention cost of $284 per person per year,⁵⁵ while another study showed an intervention cost of $525 per enrollee per year.⁵⁶ Intervention cost can vary by the type of provider that is used, the amount of time spent per patient, and the setting where services are provided. Overall, the intervention cost of implementing TBC for hypertension management is consistently higher than the cost of usual care.

Health care cost is another factor to consider. It is the difference in the cost of health care products and services that are utilized in the process of TBC, as compared to care that is provided in the absence of TBC. Health care costs include the costs associated with hospitalizations, outpatient visits, emergency room visits, and medications. One study estimated a median health care cost of hypertension TBC of $65 per person per year.⁵⁵ Overall, studies evaluating the impact of TBC for hypertension management on health care costs were mixed, with some showing that TBC resulted in an increase in health care cost, and others showing a savings compared to usual care.⁵⁸ The variability in health care costs was due to the different number of health care components and comorbidities of the patients included in the studies. Also, study duration affected the estimated health care costs of TBC. Most studies did not assess long-term health care cost savings that could be achieved from prolonged blood pressure control.⁵⁸ When considering both intervention and health care cost, Jacob et al estimated that TBC increased overall net cost by a median value of $329 per person per year.⁵⁵ While some studies did attribute an overall reduction in health care costs to TBC for hypertension management, on average, team-based models increased health care costs compared to usual care.^{27,29,55,58,59}

However, health care costs do not take into account the long-term reductions in morbidity and mortality or increased quality-adjusted life years (QALY) that result from improved blood pressure control attributed to TBC. In most cost-effectiveness studies, an intervention is considered to be cost-effective if the cost per QALY gained is less than the accepted threshold of $50,000.⁵⁵ One study estimated that the cost per QALY of TBC in hypertension management is $4763,^55,60 while another study estimated a median cost per QALY of $9716 to $13,992.⁵⁵ A systematic review of 34 international studies estimated the median cost per QALY to be $13,986, ranging from $6683 to $58,610.⁵⁷ The wide range in cost can be attributed to the variability in interventions, health outcomes used to measure effectiveness, and the settings and countries where the studies were conducted. In another study, a TBC intervention involving pharmacists resulted in a cost per QALY of $26,800.⁶¹ The intervention was found to be cost-effective for higher-risk patients, defined as those having diabetes, a smoking history, dyslipidemia, or obesity. For patients who did not have these risk factors, the cost per QALY increased to $43,330.⁶¹ Thus, the patient population should be considered before implementing a TBC model. Furthermore, the increased use of technology, allowing for more efficient provision of services and communication between providers, could reduce intervention costs and lead to increased cost efficacy in these models.

The variation in the models used for TBC makes it difficult to draw conclusions on the cost-effectiveness of these interventions. Although it is apparent that TBC in general is cost-effective, more studies are needed comparing different team-based models to determine which specific ones are most cost-effective.

Challenges to Implementation of Team-Based Care

Recognizing and addressing the challenges inherent to a TBC approach is important to the sustainability of such a model within various settings and institutions. Numerous studies conducted on team-based models have identified common challenges that appear to be consistent across multiple settings. These challenges can be categorized as financial, provider-specific, and technology.

Financial Barriers

Although studies have demonstrated the cost-effectiveness of controlling hypertension and preventing serious complications, health systems are still confronted with the challenge of covering the cost for TBC implementation and maintenance.²⁹ The 2 main financial barriers for TBC services are stakeholder engagement and reimbursement for services. According to Kennelty et al, stakeholder engagement is key to the sustainability of the service.²⁷ However, decisions by stakeholders on cost are influenced by many factors, which include available funds, perceived value, and estimates for return on investment. Additionally, interventions must align with the organization’s mission and vision and be feasible to implement, and organizations must have the capacity for administrative support.²⁹ These various financial decisions may greatly influence the sustainability of a TBC model.

The reimbursement challenges for individual providers are an additional barrier to the sustainability of the service. In the United States, most providers are reimbursed via fee-for-service payment plans, but these plans do not reimburse all clinical providers because they are not all recognized as licensed providers.^62,63 For example, pharmacists are not recognized by the Centers for Medicare & Medicaid Services as licensed health care providers, which limits their ability to be reimbursed for clinical services provided outside of a traditional dispensing role. Furthermore, state laws determine the services nonphysician providers can offer and how they are recognized for reimbursement by tertiary payers. For instance, pharmacist roles, such as ordering labs and modifying or prescribing medication regimens, vary greatly between states.^7,63,64

Financial barriers are a major challenge facing the sustainability of a TBC hypertension service, so including all stakeholders in the decision-making process may improve the organization’s ability to sustain the service.

Provider-Specific Barriers

Notable barriers that are attributed to providers include lack of knowledge, lack of time, lack of initiative to change blood pressure medications, and inability to reach intensive blood pressure goals set in guidelines.²⁹ Studies such as the SPRINT trial have significantly impacted clinical guideline cut-offs for blood pressure, but reaching the intensive blood pressure goals from clinical trials is difficult to emulate in clinical practice.⁶⁵ In a typical clinical setting, providers may lack the confidence to make adjustments in therapy based on a single blood pressure measurement, and clinical inertia, defined as failure of health care providers to modify therapy when indicated,⁶⁶ may contribute to the inability to achieve blood pressure goals. Many factors contribute to clinical inertia, including lack of knowledge, time, or clinical protocols on how to modify therapy, causing providers to delay clinical decisions. Implementing site-specific protocols and utilizing hypertension specialist health care professionals in TBC can address the barriers contributing to clinical inertia.

Technology Barriers

A common barrier in a variety of services, but especially prevalent in a TBC service, is access to an electronic health record (EHR) for all providers treating the patient. Some providers who are not directly tied to the same clinical site as the patient’s primary care provider may not have adequate access to the full EHR. For example, pharmacists who are managing hypertension in a TBC model in a community pharmacy may have access only to health information from prescription records. Patient interviews may not provide the pharmacist with adequate information about laboratory results, vitals, and other medical information and history for the patient, making it difficult for the pharmacist to make a proper recommendation for treatment.²⁷ Depending on the setting, communication between providers may be a barrier in achieving optimal outcomes, especially when providers do not have access to a shared medical record.

In addition, patients often lack access to technology used to manage hypertension. Many new technologies exist that aid patients in managing their blood pressure, such as smart phone applications to track blood pressure readings and alarms to remind patients to take their medications. Studies have shown that telemonitoring of blood pressure measurements and management of hypertension, especially in combination with TBC, is effective and reduces costs compared to usual care.⁶⁷ However, the lack of equal access to the various technologies available may inhibit the success of a TBC hypertension program. Patients may lack access, knowledge, or financial means to utilize the various methods available for managing their hypertension electronically.²⁹

Conclusion

Incorporating nonphysician providers into the health care team for the treatment of hypertension has proven to be more effective than usual care and has been recognized by recent guidelines as a best practice approach to achieving blood pressure goals. Multiple studies have demonstrated that TBC utilizing nurses and pharmacists can improve blood pressure management. While adding members to the team increases health care costs, the long-term benefits of achieving optimal blood pressure goals contribute to the overall cost-effectiveness of TBC strategies over usual care. However, comparisons between different TBC models are warranted to determine which combination of health care professionals and/or interventions is most effective. Cost-analysis estimates are difficult to compare due to widely varied methodology and variance in the models that have been employed. Studies must consider pathways to overcoming reimbursement issues, provider-specific challenges, and technology barriers. Follow-up and monitoring after initiation of drug therapy for hypertension control should include systematic strategies to help improve blood pressure, including use of home blood pressure monitoring, TBC, and telehealth strategies. Future implementation science approaches to hypertension TBC models within specific clinic settings will be useful to identify and overcome challenges and will help to determine the populations who will benefit most, allowing for greater success in sustaining TBC models.

Corresponding author: Shawn R. Smith, PharmD, 309 E. 2nd Street, Pomona, CA 91766; [email protected].

Financial disclosures: None.

From the Department of Medicine, University of California, Irvine, Orange, CA.

Abstract

Background: Orange County’s residents have difficulty accessing timely, quality, affordable specialty care services. As the county’s only academic health system, the University of California, Irvine (UCI) aimed to improve specialty care access for the communities it serves by implementing an electronic consultations (eConsults) program that allows primary care providers (PCPs) to efficiently receive specialist recommendations on referral problems that do not require an in-person evaluation.

Objective: To implement an eConsults program at the UCI that enhances access to and the delivery of coordinated specialty care for lower-complexity referral problems.

Methods: We developed custom solutions to integrate eConsults into UCI’s 2 electronic health record platforms. The impact of the eConsults program was assessed by continuously evaluating usage and outcomes. Measures used to track usage included the number of submitted eConsult requests per PCP, the number of completed responses per specialty, and the response time for eConsult requests. Outcome measures included the specialist recommendation (eg, in-office visit, consultation avoided) and physician feedback.

Results: Over 4.5 years, more than 1400 successful eConsults have been completed, and the program has expanded to 17 specialties. The average turnaround time for an eConsult response across all specialties was 1 business day. Moreover, more than 50% of the eConsults received specialty responses within the same day of the eConsult request. Most important, about 80% of eConsult requests were addressed without the need for an in-office visit with a specialist.

Conclusion: The enhanced access to and the delivery of coordinated specialty care provided by eConsults resulted in improved efficiency and specialty access, while likely reducing costs and improving patient satisfaction. The improved communication and collaboration among providers with eConsults has also led to overwhelmingly positive feedback from both PCPs and specialists.

Keywords: electronic consultation; access to care; primary care; specialty referral; telehealth.

Orange County’s growing, aging, and diverse population is driving an increased demand for health care.¹ But with the county’s high cost of living and worsening shortage of physicians,^1-3 many of its residents are struggling to access timely, quality, affordable care. Access to specialty care services is especially frustrating for many patients and their providers, both primary care providers (PCPs) and specialists, due to problems with the referral process. Many patients experience increased wait times for a visit with a specialist due to poor communication between providers, insufficient guidance on the information or diagnostic results needed by specialists, and lack of care coordination.^4-6 One promising approach to overcome these challenges is the use of an electronic consultation, or eConsult, in place of a standard in-person referral. An eConsult is an asynchronous, non-face-to-face, provider-to-provider exchange using a secure electronic communication platform. For appropriate referral problems, the patient is able to receive timely access to specialist expertise through electronic referral by their PCP,^7-9 and avoid the time and costs associated with a visit to the specialist,^10,11 such as travel, missed work, co-pays, and child-care expenses. Clinical questions addressed using an eConsult system subsequently free up office visit appointment slots, improving access for patients requiring in-office evaluation.^8,12

Orange County’s only academic health system, the University of California, Irvine (UCI), serves a population of 3.5 million, and its principal priority is providing the communities in the county (which is the sixth largest in United States) and the surrounding region with the highest quality health care possible. Thus, UCI aimed to improve its referral processes and provide timely access to specialty care for its patients by implementing an eConsults program that allows PCPs to efficiently receive specialist recommendations on referral problems that do not require the specialist to evaluate the patient in person. This report describes our experiences with developing and implementing a custom-built eConsults workflow in UCI’s prior electronic health record (EHR) platform, Allscripts, and subsequently transitioning our mature eConsults program to a new EHR system when UCI adopted Epic. UCI is likely the only academic medical center to have experience in successfully implementing eConsults into 2 different EHR systems.

Setting

UCI’s medical center is a 417-bed acute care hospital providing tertiary and quaternary care, ambulatory and specialty medical clinics, behavioral health care, and rehabilitation services. It is located in Orange, CA, and serves a diverse population of 3.5 million persons with broad health care needs. With more than 400 specialty and primary care physicians, UCI offers a full scope of acute and general care services. It is also the primary teaching location for UCI medical and nursing students, medical residents, and fellows, and is home to Orange County’s only adult Level I and pediatric Level II trauma centers and the regional burn center.

eConsults Program

We designed the initial eConsults program within UCI’s Allscripts EHR platform. Our information technology (IT) build team developed unique “documents-based” eConsults workflows that simplified the process of initiating requests directly from the EHR and facilitated rapid responses from participating specialties. The requesting provider’s eConsults interface was user-friendly, and referring providers were able to initiate an eConsult easily by selecting the customized eConsult icon from the Allscripts main toolbar. To ensure that all relevant information is provided to the specialists, condition-specific templates are embedded in the requesting provider’s eConsults workflow that allow PCPs to enter a focused, patient-specific clinical question and provide guidance on recommended patient information (eg, health history, laboratory results, and digital images) that may help the specialist provide an informed response. The eConsult templates were adapted from standardized forms developed by partner University of California Health Systems in an initiative funded by the University of California Center for Health Quality and Innovation.

To facilitate timely responses from specialists, an innovative notification system was created in the responding provider’s eConsults workflow to automatically send an email to participating specialists when a new eConsult is requested. The responding provider’s workflow also includes an option for the specialist to decline the eConsult if the case is deemed too complex to be addressed electronically. For every completed eConsult that does not result in an in-person patient evaluation, the requesting provider and responding specialist each receives a modest reimbursement, which was initially paid by UCI Health System funds.

Implementation

The design and implementation of the eConsults program began in November 2014, and was guided by a steering committee that included the chair of the department of medicine, chief medical information officer, primary care and specialty physician leads, IT build team, and a project manager. Early on, members of this committee engaged UCI leadership to affirm support for the program and obtain the IT resources needed to build the eConsults workflow. Regular steering committee meetings were established to discuss the design of the workflow, adapt the clinical content of the referral templates, and develop a provider reimbursement plan. After completion of the workflow build, the eConsults system was tested to identify failure points and obtain feedback from users. Prior to going live, the eConsults program was publicized by members of the steering committee through meetings with primary care groups and email communications. Committee members also hosted in-person training and orientation sessions with PCPs and participating specialists, and distributed tip sheets summarizing the steps to complete the PCP and specialist eConsult workflows.

The eConsults workflow build, testing, and launch were completed within 5 months (April 2015; Figure 1). eConsults went live in the 3 initial specialties (endocrinology, cardiology, and rheumatology) that were interested in participating in the first wave of the program. UCI’s eConsults service has subsequently expanded to 17 total specialties (allergy, cardiology, dermatology, endocrinology, gastroenterology, geriatrics, gynecology, hematology, hepatology, infectious disease, nephrology, neurology, palliative care, psychiatry, pulmonary, rheumatology, and sports medicine).

Two and half years after the eConsults program was implemented in Allscripts, UCI adopted a new EHR platform, Epic. By this time, the eConsults service had grown into a mature program with greater numbers of PCP users and submitted eConsults (Figure 2). Using our experience with the Allscripts build, our IT team was able to efficiently transition the eConsults service to the new EHR system. In contrast to the “documents-based” eConsult workflows on Allscripts, our IT team utilized an “orders-based” strategy on Epic, which followed a more traditional approach to requesting a consultation. We re-launched the service in Epic within 3 months (February 2018). However, both platforms utilized user-friendly workflows to achieve similar goals, and the program has continued to grow with respect to the number of users and eConsults.

Measurement/Analysis

The impact of the program was assessed by continuously evaluating usage and outcomes. Measures used to track usage included the number of PCP users, the number of submitted eConsult requests per PCP, and the number of requests per specialty. The response time for eConsult requests and the self-reported amount of time spent by specialists on the response were also tracked. Outcome measures included the specialist recommendation (eg, in-office visit, consultation avoided) and physician feedback. Provider satisfaction was primarily obtained by soliciting feedback from individual eConsult users.

Implementation of this eConsults program constituted a quality improvement activity and did not require Institutional Review Board review.

Since the program was launched in April 2015, more than 1400 eConsults have been completed across 17 specialties (Figure 3). There were 654 completed eConsults on the Allscripts platform, and 808 eConsults have been completed using the Epic platform to date. The busiest eConsult specialties were endocrinology (receiving 276, or 19%, of the eConsults requests), hematology (receiving 249 requests, or 17%), infectious disease (receiving 244 requests, or 17% ), and cardiology (receiving 148 requests, or 10%).

The self-reported amount of time specialists spent on the response was different between the 2 EHR systems (Figure 4). On Allscripts, specialists reported that 23% of eConsults took 10 minutes or less to complete, 47% took 11 to 20 minutes, 23% took 21 to 30 minutes, and 7% took more than 30 minutes. On Epic, specialists reported that 42% of eConsults took 10 minutes or less to complete, 44% took 11 to 20 minutes, 12% took 21 to 30 minutes, and 2% took more than 30 minutes. This difference in time spent fielding eConsults likely represents the subtle nuances between Allscripts’ “documents-based” and Epic’s “orders-based” workflows.

As a result of the automated notification system that was introduced early in the eConsults implementation process on Allscripts, the specialty response times were much faster than the expected 3 business days’ turnaround goal instituted by the Center for Health Quality and Innovation initiative, regardless of the EHR platform used. In fact, the average turnaround time for an eConsult response across all specialties was 1 business day, which was similar for both EHR systems (Figure 5). Furthermore, more than 50% of the eConsults on both EHR systems received specialist responses within the same day of the eConsult request (63% on Allscripts, 54% on Epic). There was a small decrease in the percentage of same-day responses when we transitioned to Epic, likely because the functionality of an automated notification email could not be restored in Epic. Regardless, the specialty response times on Epic remained expeditious, likely because the automated notifications on Allscripts instilled good practices for the specialists, and regularly checking for new eConsult requests became an ingrained behavior.

Our most important finding was that approximately 80% of eConsult requests were addressed without the need for an in-office visit with a specialist. This measure was similar for both EHR platforms (83% on Allscripts and 78% on Epic).

Provider feedback has been overwhelmingly positive. PCPs are impressed with the robust educational content of the eConsult responses, since the goal for specialists is to justify their recommendations. Specialists appreciate the convenience and efficiency that eConsults offer, as well as the improved communication and collaboration among physicians. eConsults have been especially beneficial to PCPs at UCI’s Family Health Centers, who are now able to receive subspecialty consultations from UCI specialists despite insurance barriers.

Discussion

Our eConsults program uniquely contrasts with other programs because UCI is likely the only academic medical center to have experience in successfully incorporating eConsults into 2 different EHR systems: initial development of the eConsults workflow in UCI’s existing Allscripts EHR platform, and subsequently transitioning a mature eConsults program to a new EHR system when the institution adopted Epic.

We measured the impact of the eConsults program on access to care by the response time for eConsult requests and the percentage of eConsults that averted an in-office visit with a specialist. We found that the eConsults program at UCI provided our PCPs access to specialist consultations in a timely manner, with much shorter response times than standard in-person referrals. The average turnaround time for an eConsult response we reported is consistent with findings from other studies.^12-15 Additionally, our program was able to address about 80% of its eConsults electronically, helping to reduce unnecessary in-person specialist referrals. In the literature, the percentage of eConsults that avoided an in-person specialist visit varies widely.^8,12-16

We reported very positive feedback from both PCPs and specialists on UCI’s eConsults service. Similarly, other studies described PCP satisfaction with their respective eConsults programs to be uniformly high,^{8,9,13,14,17-19} though some reported that the level of satisfaction among specialists was more varied.^18-21

Lessons Learned

The successful design and implementation of our eConsults program began with assembling the right clinical champions and technology partners for our steering committee. Establishing regular steering committee meetings helped maintain an appropriate timeline for completion of different aspects of the project. Engaging support from UCI’s leadership also provided us with a dedicated IT team that helped us with the build, training resources, troubleshooting issues, and reporting for the project.

Our experience with implementing the eConsults program on 2 different EHR systems highlighted the importance of creating efficient, user-friendly workflows to foster provider adoption and achieve sustainability. Allscripts’ open platform gave our IT team the ability to create a homegrown solution to implementing an eConsult model that was simple and easy to use. The Epic platform’s interoperability allowed us to leverage our learnings from the Allscripts build to efficiently implement eConsults in Epic.

We also found that providing modest incentive payments or reimbursements to both PCPs and specialists for each completed eConsult helps with both adoption and program sustainability. Initially, credit for the eConsult work was paid by internal UCI Health System funds. Two payers, UC Care (a preferred provider organization plan created just for the University of California) and more recently, the Centers for Medicare & Medicaid Services, have agreed to reimburse for outpatient eConsults. Securing additional payers for reimbursement of the eConsult service will not only ensure the program’s long-term sustainability, but also represents an acknowledgment of the value of eConsults in supporting access to care.

Applicability

Other health care settings that are experiencing issues with specialty care access can successfully implement their own eConsults program by employing strategies similar to those described in this report—assembling the right team, creating user-friendly workflows, and providing incentives. Our advice for successful implementation is to clearly communicate your goals to all involved, including primary care, specialists, leadership, and IT partners, and establish with these stakeholders the appropriate support and resources needed to facilitate the development of the program and overcome any barriers to adoption.

Current Status and Future Directions

Our future plans include continuing to optimize the Epic eConsult backend build and workflows using our experience in Allscripts. We have implemented eConsult workflows for use by graduate medical education trainees and advanced practice providers, with attending supervision. Further work is in progress to optimize these workflows, which will allow for appropriate education and supervision without delaying care. Furthermore, we plan to expand the program to include inpatient-to-inpatient and emergency department-to-inpatient eConsults. We will continue to expand the eConsults program by offering additional specialties, engage providers to encourage ongoing participation, and maximize PCP use by continuing to market the program through regular newsletters and email communications. Finally, the eConsults has served as an effective, important resource in the current era of COVID-19 in several ways: it allows for optimization of specialty input in patient care delivery without subjecting more health care workers to unnecessary exposure; saves on utilization of precious personal protective equipment; and enhances our ability to deal with a potential surge by providing access to specialists remotely and electronically all hours of the day, thus expanding care to the evening and weekend hours.

Acknowledgment: The authors thank our steering committee members (Dr. Ralph Cygan, Dr. Andrew Reikes, Dr. Byron Allen, Dr. George Lawry) and IT build team (Lori Bocchicchio, Meghan van Witsen, Jaymee Zillgitt, Tanya Sickles, Dennis Hoang, Jeanette Lisak-Phillips) for their contributions in the design and implementation of our eConsults program. We also thank additional team members Kurt McArthur and Neaktisia Lee for their assistance with generating reports, and Kathy LaPierre, Jennifer Rios, and Debra Webb Torres for their guidance with compliance and billing issues.

Corresponding author: Alpesh N. Amin, MD, MBA, University of California, Irvine, 101 The City Drive South, Building 26, Room 1000, ZC-4076H, Orange, CA 92868; [email protected].

Financial disclosures: None.

From the Department of Medicine, University of California, Irvine, Orange, CA.

Abstract

Background: Orange County’s residents have difficulty accessing timely, quality, affordable specialty care services. As the county’s only academic health system, the University of California, Irvine (UCI) aimed to improve specialty care access for the communities it serves by implementing an electronic consultations (eConsults) program that allows primary care providers (PCPs) to efficiently receive specialist recommendations on referral problems that do not require an in-person evaluation.

Objective: To implement an eConsults program at the UCI that enhances access to and the delivery of coordinated specialty care for lower-complexity referral problems.

Methods: We developed custom solutions to integrate eConsults into UCI’s 2 electronic health record platforms. The impact of the eConsults program was assessed by continuously evaluating usage and outcomes. Measures used to track usage included the number of submitted eConsult requests per PCP, the number of completed responses per specialty, and the response time for eConsult requests. Outcome measures included the specialist recommendation (eg, in-office visit, consultation avoided) and physician feedback.

Results: Over 4.5 years, more than 1400 successful eConsults have been completed, and the program has expanded to 17 specialties. The average turnaround time for an eConsult response across all specialties was 1 business day. Moreover, more than 50% of the eConsults received specialty responses within the same day of the eConsult request. Most important, about 80% of eConsult requests were addressed without the need for an in-office visit with a specialist.

Conclusion: The enhanced access to and the delivery of coordinated specialty care provided by eConsults resulted in improved efficiency and specialty access, while likely reducing costs and improving patient satisfaction. The improved communication and collaboration among providers with eConsults has also led to overwhelmingly positive feedback from both PCPs and specialists.

Keywords: electronic consultation; access to care; primary care; specialty referral; telehealth.

Orange County’s growing, aging, and diverse population is driving an increased demand for health care.¹ But with the county’s high cost of living and worsening shortage of physicians,^1-3 many of its residents are struggling to access timely, quality, affordable care. Access to specialty care services is especially frustrating for many patients and their providers, both primary care providers (PCPs) and specialists, due to problems with the referral process. Many patients experience increased wait times for a visit with a specialist due to poor communication between providers, insufficient guidance on the information or diagnostic results needed by specialists, and lack of care coordination.^4-6 One promising approach to overcome these challenges is the use of an electronic consultation, or eConsult, in place of a standard in-person referral. An eConsult is an asynchronous, non-face-to-face, provider-to-provider exchange using a secure electronic communication platform. For appropriate referral problems, the patient is able to receive timely access to specialist expertise through electronic referral by their PCP,^7-9 and avoid the time and costs associated with a visit to the specialist,^10,11 such as travel, missed work, co-pays, and child-care expenses. Clinical questions addressed using an eConsult system subsequently free up office visit appointment slots, improving access for patients requiring in-office evaluation.^8,12

Orange County’s only academic health system, the University of California, Irvine (UCI), serves a population of 3.5 million, and its principal priority is providing the communities in the county (which is the sixth largest in United States) and the surrounding region with the highest quality health care possible. Thus, UCI aimed to improve its referral processes and provide timely access to specialty care for its patients by implementing an eConsults program that allows PCPs to efficiently receive specialist recommendations on referral problems that do not require the specialist to evaluate the patient in person. This report describes our experiences with developing and implementing a custom-built eConsults workflow in UCI’s prior electronic health record (EHR) platform, Allscripts, and subsequently transitioning our mature eConsults program to a new EHR system when UCI adopted Epic. UCI is likely the only academic medical center to have experience in successfully implementing eConsults into 2 different EHR systems.

Setting

UCI’s medical center is a 417-bed acute care hospital providing tertiary and quaternary care, ambulatory and specialty medical clinics, behavioral health care, and rehabilitation services. It is located in Orange, CA, and serves a diverse population of 3.5 million persons with broad health care needs. With more than 400 specialty and primary care physicians, UCI offers a full scope of acute and general care services. It is also the primary teaching location for UCI medical and nursing students, medical residents, and fellows, and is home to Orange County’s only adult Level I and pediatric Level II trauma centers and the regional burn center.

eConsults Program

We designed the initial eConsults program within UCI’s Allscripts EHR platform. Our information technology (IT) build team developed unique “documents-based” eConsults workflows that simplified the process of initiating requests directly from the EHR and facilitated rapid responses from participating specialties. The requesting provider’s eConsults interface was user-friendly, and referring providers were able to initiate an eConsult easily by selecting the customized eConsult icon from the Allscripts main toolbar. To ensure that all relevant information is provided to the specialists, condition-specific templates are embedded in the requesting provider’s eConsults workflow that allow PCPs to enter a focused, patient-specific clinical question and provide guidance on recommended patient information (eg, health history, laboratory results, and digital images) that may help the specialist provide an informed response. The eConsult templates were adapted from standardized forms developed by partner University of California Health Systems in an initiative funded by the University of California Center for Health Quality and Innovation.

To facilitate timely responses from specialists, an innovative notification system was created in the responding provider’s eConsults workflow to automatically send an email to participating specialists when a new eConsult is requested. The responding provider’s workflow also includes an option for the specialist to decline the eConsult if the case is deemed too complex to be addressed electronically. For every completed eConsult that does not result in an in-person patient evaluation, the requesting provider and responding specialist each receives a modest reimbursement, which was initially paid by UCI Health System funds.

Implementation

The design and implementation of the eConsults program began in November 2014, and was guided by a steering committee that included the chair of the department of medicine, chief medical information officer, primary care and specialty physician leads, IT build team, and a project manager. Early on, members of this committee engaged UCI leadership to affirm support for the program and obtain the IT resources needed to build the eConsults workflow. Regular steering committee meetings were established to discuss the design of the workflow, adapt the clinical content of the referral templates, and develop a provider reimbursement plan. After completion of the workflow build, the eConsults system was tested to identify failure points and obtain feedback from users. Prior to going live, the eConsults program was publicized by members of the steering committee through meetings with primary care groups and email communications. Committee members also hosted in-person training and orientation sessions with PCPs and participating specialists, and distributed tip sheets summarizing the steps to complete the PCP and specialist eConsult workflows.

The eConsults workflow build, testing, and launch were completed within 5 months (April 2015; Figure 1). eConsults went live in the 3 initial specialties (endocrinology, cardiology, and rheumatology) that were interested in participating in the first wave of the program. UCI’s eConsults service has subsequently expanded to 17 total specialties (allergy, cardiology, dermatology, endocrinology, gastroenterology, geriatrics, gynecology, hematology, hepatology, infectious disease, nephrology, neurology, palliative care, psychiatry, pulmonary, rheumatology, and sports medicine).

Two and half years after the eConsults program was implemented in Allscripts, UCI adopted a new EHR platform, Epic. By this time, the eConsults service had grown into a mature program with greater numbers of PCP users and submitted eConsults (Figure 2). Using our experience with the Allscripts build, our IT team was able to efficiently transition the eConsults service to the new EHR system. In contrast to the “documents-based” eConsult workflows on Allscripts, our IT team utilized an “orders-based” strategy on Epic, which followed a more traditional approach to requesting a consultation. We re-launched the service in Epic within 3 months (February 2018). However, both platforms utilized user-friendly workflows to achieve similar goals, and the program has continued to grow with respect to the number of users and eConsults.

Measurement/Analysis

The impact of the program was assessed by continuously evaluating usage and outcomes. Measures used to track usage included the number of PCP users, the number of submitted eConsult requests per PCP, and the number of requests per specialty. The response time for eConsult requests and the self-reported amount of time spent by specialists on the response were also tracked. Outcome measures included the specialist recommendation (eg, in-office visit, consultation avoided) and physician feedback. Provider satisfaction was primarily obtained by soliciting feedback from individual eConsult users.

Implementation of this eConsults program constituted a quality improvement activity and did not require Institutional Review Board review.

Since the program was launched in April 2015, more than 1400 eConsults have been completed across 17 specialties (Figure 3). There were 654 completed eConsults on the Allscripts platform, and 808 eConsults have been completed using the Epic platform to date. The busiest eConsult specialties were endocrinology (receiving 276, or 19%, of the eConsults requests), hematology (receiving 249 requests, or 17%), infectious disease (receiving 244 requests, or 17% ), and cardiology (receiving 148 requests, or 10%).

The self-reported amount of time specialists spent on the response was different between the 2 EHR systems (Figure 4). On Allscripts, specialists reported that 23% of eConsults took 10 minutes or less to complete, 47% took 11 to 20 minutes, 23% took 21 to 30 minutes, and 7% took more than 30 minutes. On Epic, specialists reported that 42% of eConsults took 10 minutes or less to complete, 44% took 11 to 20 minutes, 12% took 21 to 30 minutes, and 2% took more than 30 minutes. This difference in time spent fielding eConsults likely represents the subtle nuances between Allscripts’ “documents-based” and Epic’s “orders-based” workflows.

As a result of the automated notification system that was introduced early in the eConsults implementation process on Allscripts, the specialty response times were much faster than the expected 3 business days’ turnaround goal instituted by the Center for Health Quality and Innovation initiative, regardless of the EHR platform used. In fact, the average turnaround time for an eConsult response across all specialties was 1 business day, which was similar for both EHR systems (Figure 5). Furthermore, more than 50% of the eConsults on both EHR systems received specialist responses within the same day of the eConsult request (63% on Allscripts, 54% on Epic). There was a small decrease in the percentage of same-day responses when we transitioned to Epic, likely because the functionality of an automated notification email could not be restored in Epic. Regardless, the specialty response times on Epic remained expeditious, likely because the automated notifications on Allscripts instilled good practices for the specialists, and regularly checking for new eConsult requests became an ingrained behavior.

Our most important finding was that approximately 80% of eConsult requests were addressed without the need for an in-office visit with a specialist. This measure was similar for both EHR platforms (83% on Allscripts and 78% on Epic).

Provider feedback has been overwhelmingly positive. PCPs are impressed with the robust educational content of the eConsult responses, since the goal for specialists is to justify their recommendations. Specialists appreciate the convenience and efficiency that eConsults offer, as well as the improved communication and collaboration among physicians. eConsults have been especially beneficial to PCPs at UCI’s Family Health Centers, who are now able to receive subspecialty consultations from UCI specialists despite insurance barriers.

Discussion

Our eConsults program uniquely contrasts with other programs because UCI is likely the only academic medical center to have experience in successfully incorporating eConsults into 2 different EHR systems: initial development of the eConsults workflow in UCI’s existing Allscripts EHR platform, and subsequently transitioning a mature eConsults program to a new EHR system when the institution adopted Epic.

We measured the impact of the eConsults program on access to care by the response time for eConsult requests and the percentage of eConsults that averted an in-office visit with a specialist. We found that the eConsults program at UCI provided our PCPs access to specialist consultations in a timely manner, with much shorter response times than standard in-person referrals. The average turnaround time for an eConsult response we reported is consistent with findings from other studies.^12-15 Additionally, our program was able to address about 80% of its eConsults electronically, helping to reduce unnecessary in-person specialist referrals. In the literature, the percentage of eConsults that avoided an in-person specialist visit varies widely.^8,12-16

We reported very positive feedback from both PCPs and specialists on UCI’s eConsults service. Similarly, other studies described PCP satisfaction with their respective eConsults programs to be uniformly high,^{8,9,13,14,17-19} though some reported that the level of satisfaction among specialists was more varied.^18-21

Lessons Learned

The successful design and implementation of our eConsults program began with assembling the right clinical champions and technology partners for our steering committee. Establishing regular steering committee meetings helped maintain an appropriate timeline for completion of different aspects of the project. Engaging support from UCI’s leadership also provided us with a dedicated IT team that helped us with the build, training resources, troubleshooting issues, and reporting for the project.

Our experience with implementing the eConsults program on 2 different EHR systems highlighted the importance of creating efficient, user-friendly workflows to foster provider adoption and achieve sustainability. Allscripts’ open platform gave our IT team the ability to create a homegrown solution to implementing an eConsult model that was simple and easy to use. The Epic platform’s interoperability allowed us to leverage our learnings from the Allscripts build to efficiently implement eConsults in Epic.

We also found that providing modest incentive payments or reimbursements to both PCPs and specialists for each completed eConsult helps with both adoption and program sustainability. Initially, credit for the eConsult work was paid by internal UCI Health System funds. Two payers, UC Care (a preferred provider organization plan created just for the University of California) and more recently, the Centers for Medicare & Medicaid Services, have agreed to reimburse for outpatient eConsults. Securing additional payers for reimbursement of the eConsult service will not only ensure the program’s long-term sustainability, but also represents an acknowledgment of the value of eConsults in supporting access to care.

Applicability

Other health care settings that are experiencing issues with specialty care access can successfully implement their own eConsults program by employing strategies similar to those described in this report—assembling the right team, creating user-friendly workflows, and providing incentives. Our advice for successful implementation is to clearly communicate your goals to all involved, including primary care, specialists, leadership, and IT partners, and establish with these stakeholders the appropriate support and resources needed to facilitate the development of the program and overcome any barriers to adoption.

Current Status and Future Directions

Our future plans include continuing to optimize the Epic eConsult backend build and workflows using our experience in Allscripts. We have implemented eConsult workflows for use by graduate medical education trainees and advanced practice providers, with attending supervision. Further work is in progress to optimize these workflows, which will allow for appropriate education and supervision without delaying care. Furthermore, we plan to expand the program to include inpatient-to-inpatient and emergency department-to-inpatient eConsults. We will continue to expand the eConsults program by offering additional specialties, engage providers to encourage ongoing participation, and maximize PCP use by continuing to market the program through regular newsletters and email communications. Finally, the eConsults has served as an effective, important resource in the current era of COVID-19 in several ways: it allows for optimization of specialty input in patient care delivery without subjecting more health care workers to unnecessary exposure; saves on utilization of precious personal protective equipment; and enhances our ability to deal with a potential surge by providing access to specialists remotely and electronically all hours of the day, thus expanding care to the evening and weekend hours.

Acknowledgment: The authors thank our steering committee members (Dr. Ralph Cygan, Dr. Andrew Reikes, Dr. Byron Allen, Dr. George Lawry) and IT build team (Lori Bocchicchio, Meghan van Witsen, Jaymee Zillgitt, Tanya Sickles, Dennis Hoang, Jeanette Lisak-Phillips) for their contributions in the design and implementation of our eConsults program. We also thank additional team members Kurt McArthur and Neaktisia Lee for their assistance with generating reports, and Kathy LaPierre, Jennifer Rios, and Debra Webb Torres for their guidance with compliance and billing issues.

Corresponding author: Alpesh N. Amin, MD, MBA, University of California, Irvine, 101 The City Drive South, Building 26, Room 1000, ZC-4076H, Orange, CA 92868; [email protected].

Financial disclosures: None.

From the Department of Medicine, University of California, Irvine, Orange, CA.

Abstract

Background: Orange County’s residents have difficulty accessing timely, quality, affordable specialty care services. As the county’s only academic health system, the University of California, Irvine (UCI) aimed to improve specialty care access for the communities it serves by implementing an electronic consultations (eConsults) program that allows primary care providers (PCPs) to efficiently receive specialist recommendations on referral problems that do not require an in-person evaluation.

Objective: To implement an eConsults program at the UCI that enhances access to and the delivery of coordinated specialty care for lower-complexity referral problems.

Methods: We developed custom solutions to integrate eConsults into UCI’s 2 electronic health record platforms. The impact of the eConsults program was assessed by continuously evaluating usage and outcomes. Measures used to track usage included the number of submitted eConsult requests per PCP, the number of completed responses per specialty, and the response time for eConsult requests. Outcome measures included the specialist recommendation (eg, in-office visit, consultation avoided) and physician feedback.

Results: Over 4.5 years, more than 1400 successful eConsults have been completed, and the program has expanded to 17 specialties. The average turnaround time for an eConsult response across all specialties was 1 business day. Moreover, more than 50% of the eConsults received specialty responses within the same day of the eConsult request. Most important, about 80% of eConsult requests were addressed without the need for an in-office visit with a specialist.

Conclusion: The enhanced access to and the delivery of coordinated specialty care provided by eConsults resulted in improved efficiency and specialty access, while likely reducing costs and improving patient satisfaction. The improved communication and collaboration among providers with eConsults has also led to overwhelmingly positive feedback from both PCPs and specialists.

Keywords: electronic consultation; access to care; primary care; specialty referral; telehealth.

Orange County’s growing, aging, and diverse population is driving an increased demand for health care.¹ But with the county’s high cost of living and worsening shortage of physicians,^1-3 many of its residents are struggling to access timely, quality, affordable care. Access to specialty care services is especially frustrating for many patients and their providers, both primary care providers (PCPs) and specialists, due to problems with the referral process. Many patients experience increased wait times for a visit with a specialist due to poor communication between providers, insufficient guidance on the information or diagnostic results needed by specialists, and lack of care coordination.^4-6 One promising approach to overcome these challenges is the use of an electronic consultation, or eConsult, in place of a standard in-person referral. An eConsult is an asynchronous, non-face-to-face, provider-to-provider exchange using a secure electronic communication platform. For appropriate referral problems, the patient is able to receive timely access to specialist expertise through electronic referral by their PCP,^7-9 and avoid the time and costs associated with a visit to the specialist,^10,11 such as travel, missed work, co-pays, and child-care expenses. Clinical questions addressed using an eConsult system subsequently free up office visit appointment slots, improving access for patients requiring in-office evaluation.^8,12

Orange County’s only academic health system, the University of California, Irvine (UCI), serves a population of 3.5 million, and its principal priority is providing the communities in the county (which is the sixth largest in United States) and the surrounding region with the highest quality health care possible. Thus, UCI aimed to improve its referral processes and provide timely access to specialty care for its patients by implementing an eConsults program that allows PCPs to efficiently receive specialist recommendations on referral problems that do not require the specialist to evaluate the patient in person. This report describes our experiences with developing and implementing a custom-built eConsults workflow in UCI’s prior electronic health record (EHR) platform, Allscripts, and subsequently transitioning our mature eConsults program to a new EHR system when UCI adopted Epic. UCI is likely the only academic medical center to have experience in successfully implementing eConsults into 2 different EHR systems.

Setting

UCI’s medical center is a 417-bed acute care hospital providing tertiary and quaternary care, ambulatory and specialty medical clinics, behavioral health care, and rehabilitation services. It is located in Orange, CA, and serves a diverse population of 3.5 million persons with broad health care needs. With more than 400 specialty and primary care physicians, UCI offers a full scope of acute and general care services. It is also the primary teaching location for UCI medical and nursing students, medical residents, and fellows, and is home to Orange County’s only adult Level I and pediatric Level II trauma centers and the regional burn center.

eConsults Program

We designed the initial eConsults program within UCI’s Allscripts EHR platform. Our information technology (IT) build team developed unique “documents-based” eConsults workflows that simplified the process of initiating requests directly from the EHR and facilitated rapid responses from participating specialties. The requesting provider’s eConsults interface was user-friendly, and referring providers were able to initiate an eConsult easily by selecting the customized eConsult icon from the Allscripts main toolbar. To ensure that all relevant information is provided to the specialists, condition-specific templates are embedded in the requesting provider’s eConsults workflow that allow PCPs to enter a focused, patient-specific clinical question and provide guidance on recommended patient information (eg, health history, laboratory results, and digital images) that may help the specialist provide an informed response. The eConsult templates were adapted from standardized forms developed by partner University of California Health Systems in an initiative funded by the University of California Center for Health Quality and Innovation.

To facilitate timely responses from specialists, an innovative notification system was created in the responding provider’s eConsults workflow to automatically send an email to participating specialists when a new eConsult is requested. The responding provider’s workflow also includes an option for the specialist to decline the eConsult if the case is deemed too complex to be addressed electronically. For every completed eConsult that does not result in an in-person patient evaluation, the requesting provider and responding specialist each receives a modest reimbursement, which was initially paid by UCI Health System funds.

Implementation

The design and implementation of the eConsults program began in November 2014, and was guided by a steering committee that included the chair of the department of medicine, chief medical information officer, primary care and specialty physician leads, IT build team, and a project manager. Early on, members of this committee engaged UCI leadership to affirm support for the program and obtain the IT resources needed to build the eConsults workflow. Regular steering committee meetings were established to discuss the design of the workflow, adapt the clinical content of the referral templates, and develop a provider reimbursement plan. After completion of the workflow build, the eConsults system was tested to identify failure points and obtain feedback from users. Prior to going live, the eConsults program was publicized by members of the steering committee through meetings with primary care groups and email communications. Committee members also hosted in-person training and orientation sessions with PCPs and participating specialists, and distributed tip sheets summarizing the steps to complete the PCP and specialist eConsult workflows.

The eConsults workflow build, testing, and launch were completed within 5 months (April 2015; Figure 1). eConsults went live in the 3 initial specialties (endocrinology, cardiology, and rheumatology) that were interested in participating in the first wave of the program. UCI’s eConsults service has subsequently expanded to 17 total specialties (allergy, cardiology, dermatology, endocrinology, gastroenterology, geriatrics, gynecology, hematology, hepatology, infectious disease, nephrology, neurology, palliative care, psychiatry, pulmonary, rheumatology, and sports medicine).

Two and half years after the eConsults program was implemented in Allscripts, UCI adopted a new EHR platform, Epic. By this time, the eConsults service had grown into a mature program with greater numbers of PCP users and submitted eConsults (Figure 2). Using our experience with the Allscripts build, our IT team was able to efficiently transition the eConsults service to the new EHR system. In contrast to the “documents-based” eConsult workflows on Allscripts, our IT team utilized an “orders-based” strategy on Epic, which followed a more traditional approach to requesting a consultation. We re-launched the service in Epic within 3 months (February 2018). However, both platforms utilized user-friendly workflows to achieve similar goals, and the program has continued to grow with respect to the number of users and eConsults.

Measurement/Analysis

The impact of the program was assessed by continuously evaluating usage and outcomes. Measures used to track usage included the number of PCP users, the number of submitted eConsult requests per PCP, and the number of requests per specialty. The response time for eConsult requests and the self-reported amount of time spent by specialists on the response were also tracked. Outcome measures included the specialist recommendation (eg, in-office visit, consultation avoided) and physician feedback. Provider satisfaction was primarily obtained by soliciting feedback from individual eConsult users.

Implementation of this eConsults program constituted a quality improvement activity and did not require Institutional Review Board review.

Since the program was launched in April 2015, more than 1400 eConsults have been completed across 17 specialties (Figure 3). There were 654 completed eConsults on the Allscripts platform, and 808 eConsults have been completed using the Epic platform to date. The busiest eConsult specialties were endocrinology (receiving 276, or 19%, of the eConsults requests), hematology (receiving 249 requests, or 17%), infectious disease (receiving 244 requests, or 17% ), and cardiology (receiving 148 requests, or 10%).

The self-reported amount of time specialists spent on the response was different between the 2 EHR systems (Figure 4). On Allscripts, specialists reported that 23% of eConsults took 10 minutes or less to complete, 47% took 11 to 20 minutes, 23% took 21 to 30 minutes, and 7% took more than 30 minutes. On Epic, specialists reported that 42% of eConsults took 10 minutes or less to complete, 44% took 11 to 20 minutes, 12% took 21 to 30 minutes, and 2% took more than 30 minutes. This difference in time spent fielding eConsults likely represents the subtle nuances between Allscripts’ “documents-based” and Epic’s “orders-based” workflows.

As a result of the automated notification system that was introduced early in the eConsults implementation process on Allscripts, the specialty response times were much faster than the expected 3 business days’ turnaround goal instituted by the Center for Health Quality and Innovation initiative, regardless of the EHR platform used. In fact, the average turnaround time for an eConsult response across all specialties was 1 business day, which was similar for both EHR systems (Figure 5). Furthermore, more than 50% of the eConsults on both EHR systems received specialist responses within the same day of the eConsult request (63% on Allscripts, 54% on Epic). There was a small decrease in the percentage of same-day responses when we transitioned to Epic, likely because the functionality of an automated notification email could not be restored in Epic. Regardless, the specialty response times on Epic remained expeditious, likely because the automated notifications on Allscripts instilled good practices for the specialists, and regularly checking for new eConsult requests became an ingrained behavior.

Our most important finding was that approximately 80% of eConsult requests were addressed without the need for an in-office visit with a specialist. This measure was similar for both EHR platforms (83% on Allscripts and 78% on Epic).

Provider feedback has been overwhelmingly positive. PCPs are impressed with the robust educational content of the eConsult responses, since the goal for specialists is to justify their recommendations. Specialists appreciate the convenience and efficiency that eConsults offer, as well as the improved communication and collaboration among physicians. eConsults have been especially beneficial to PCPs at UCI’s Family Health Centers, who are now able to receive subspecialty consultations from UCI specialists despite insurance barriers.

Discussion

Our eConsults program uniquely contrasts with other programs because UCI is likely the only academic medical center to have experience in successfully incorporating eConsults into 2 different EHR systems: initial development of the eConsults workflow in UCI’s existing Allscripts EHR platform, and subsequently transitioning a mature eConsults program to a new EHR system when the institution adopted Epic.

We measured the impact of the eConsults program on access to care by the response time for eConsult requests and the percentage of eConsults that averted an in-office visit with a specialist. We found that the eConsults program at UCI provided our PCPs access to specialist consultations in a timely manner, with much shorter response times than standard in-person referrals. The average turnaround time for an eConsult response we reported is consistent with findings from other studies.^12-15 Additionally, our program was able to address about 80% of its eConsults electronically, helping to reduce unnecessary in-person specialist referrals. In the literature, the percentage of eConsults that avoided an in-person specialist visit varies widely.^8,12-16

We reported very positive feedback from both PCPs and specialists on UCI’s eConsults service. Similarly, other studies described PCP satisfaction with their respective eConsults programs to be uniformly high,^{8,9,13,14,17-19} though some reported that the level of satisfaction among specialists was more varied.^18-21

Lessons Learned

The successful design and implementation of our eConsults program began with assembling the right clinical champions and technology partners for our steering committee. Establishing regular steering committee meetings helped maintain an appropriate timeline for completion of different aspects of the project. Engaging support from UCI’s leadership also provided us with a dedicated IT team that helped us with the build, training resources, troubleshooting issues, and reporting for the project.

Our experience with implementing the eConsults program on 2 different EHR systems highlighted the importance of creating efficient, user-friendly workflows to foster provider adoption and achieve sustainability. Allscripts’ open platform gave our IT team the ability to create a homegrown solution to implementing an eConsult model that was simple and easy to use. The Epic platform’s interoperability allowed us to leverage our learnings from the Allscripts build to efficiently implement eConsults in Epic.

We also found that providing modest incentive payments or reimbursements to both PCPs and specialists for each completed eConsult helps with both adoption and program sustainability. Initially, credit for the eConsult work was paid by internal UCI Health System funds. Two payers, UC Care (a preferred provider organization plan created just for the University of California) and more recently, the Centers for Medicare & Medicaid Services, have agreed to reimburse for outpatient eConsults. Securing additional payers for reimbursement of the eConsult service will not only ensure the program’s long-term sustainability, but also represents an acknowledgment of the value of eConsults in supporting access to care.

Applicability

Other health care settings that are experiencing issues with specialty care access can successfully implement their own eConsults program by employing strategies similar to those described in this report—assembling the right team, creating user-friendly workflows, and providing incentives. Our advice for successful implementation is to clearly communicate your goals to all involved, including primary care, specialists, leadership, and IT partners, and establish with these stakeholders the appropriate support and resources needed to facilitate the development of the program and overcome any barriers to adoption.

Current Status and Future Directions

Our future plans include continuing to optimize the Epic eConsult backend build and workflows using our experience in Allscripts. We have implemented eConsult workflows for use by graduate medical education trainees and advanced practice providers, with attending supervision. Further work is in progress to optimize these workflows, which will allow for appropriate education and supervision without delaying care. Furthermore, we plan to expand the program to include inpatient-to-inpatient and emergency department-to-inpatient eConsults. We will continue to expand the eConsults program by offering additional specialties, engage providers to encourage ongoing participation, and maximize PCP use by continuing to market the program through regular newsletters and email communications. Finally, the eConsults has served as an effective, important resource in the current era of COVID-19 in several ways: it allows for optimization of specialty input in patient care delivery without subjecting more health care workers to unnecessary exposure; saves on utilization of precious personal protective equipment; and enhances our ability to deal with a potential surge by providing access to specialists remotely and electronically all hours of the day, thus expanding care to the evening and weekend hours.

Acknowledgment: The authors thank our steering committee members (Dr. Ralph Cygan, Dr. Andrew Reikes, Dr. Byron Allen, Dr. George Lawry) and IT build team (Lori Bocchicchio, Meghan van Witsen, Jaymee Zillgitt, Tanya Sickles, Dennis Hoang, Jeanette Lisak-Phillips) for their contributions in the design and implementation of our eConsults program. We also thank additional team members Kurt McArthur and Neaktisia Lee for their assistance with generating reports, and Kathy LaPierre, Jennifer Rios, and Debra Webb Torres for their guidance with compliance and billing issues.

Corresponding author: Alpesh N. Amin, MD, MBA, University of California, Irvine, 101 The City Drive South, Building 26, Room 1000, ZC-4076H, Orange, CA 92868; [email protected].

Financial disclosures: None.

From Western Michigan University, Homer Stryker MD School of Medicine, Kalamazoo, MI (Dr. Vaillant and Dr. Kavanaugh), Ferris State University, Grand Rapids, MI (Dr. Mersfelder), and Bronson Methodist Hospital, Kalamazoo, MI (Dr. Maynard).

Abstract

• Background: Procalcitonin has emerged as an important marker of sepsis and lung infections of bacterial origin. The role of procalcitonin in guiding antibiotic stewardship in lower respiratory tract infections and sepsis has been extensively studied, and use of this biomarker has been shown to decrease antibiotic usage in clinical trials. We sought to evaluate the impact of a pharmacist-driven initiative regarding discontinuation of antibiotics utilizing procalcitonin levels at a community teaching hospital.
• Methods: We retrospectively gathered baseline data on adult patients admitted to a community teaching hospital who were 18 years of age and older, under the care of an inpatient service, and had a single procalcitonin level < 0.25 mcg/L obtained during admission. We then prospectively identified an intervention group of similar patients using a web-based, real-time clinical surveillance system. When a low procalcitonin level was identified in the intervention group, the participating clinical pharmacists screened for antibiotic use and the indication(s), determined whether the antibiotic could be discontinued based on the low procalcitonin level and the absence of another indication for antibiotics, and, when appropriate, contacted the patient’s health care provider via telephone to discuss possible antibiotic discontinuation. The total antibiotic treatment duration was compared between the baseline and intervention groups.
• Results: A total of 172 patients were included in this study (86 in each group). The duration of antibiotic use was not significantly different between the baseline (3.14 ± 4.04 days) and the intervention (3.34 ± 2.8 days) groups (P = 0.1083). Other patient demographics did not influence antibiotic duration.
• Conclusion: Our study did not demonstrate a difference in total antibiotic treatment duration with the utilization of procalcitonin and an oral communication intervention made by a clinical pharmacist at a community-based teaching hospital. Outside of clinical trials, and in the absence of an algorithmic approach, procalcitonin has not consistently been shown to aid in the diagnosis and treatment of infectious diseases. It is important to have a comprehensive antimicrobial stewardship program to reduce antibiotic use and effectively use laboratory values.

Keywords: antibiotic use; bacterial infection; biomarkers; procalcitonin.

Procalcitonin is the precursor of the hormone calcitonin, which is normally produced in the parafollicular cells of the thyroid gland under physiological conditions.¹ However, procalcitonin is also released in response to a proinflammatory stimulus, especially that of bacterial origin.¹ The source of the procalcitonin surge seen during proinflammatory states is not the parafollicular cells of the thyroid, but rather the neuroendocrine cells of the lung and intestine.¹ Stimulants of procalcitonin in these scenarios include bacterial endotoxin, tumor necrosis factor, and interleukin-6.^1,2 Due to these observations, procalcitonin has emerged as an important marker of sepsis and lung infections of bacterial origin.³

The role of procalcitonin in guiding antibiotic stewardship in lower respiratory tract infections and sepsis has been extensively studied.^4,5 Various randomized controlled trials have shown that antibiotic stewardship guided by procalcitonin levels resulted in lower rates of antibiotic initiation and shorter duration of antibiotic use.^4-6 Similar results were obtained in prospective studies evaluating its role in patients with chronic obstructive pulmonary disease and sepsis.^7,8 Based on these data, protocol-driven procalcitonin-guided antibiotic stewardship appears beneficial.

Many of these studies employed rigorous protocols. Studies of procalcitonin use in a so-called real-world setting, in which the provider can order and use procalcitonin levels without the use of protocols, are limited. The objective of our study was to evaluate the impact of a pharmacist-driven initiative on discontinuing antibiotics, if indicated, utilizing single procalcitonin measurement results of < 0.25 mcg/L at a community teaching hospital.

Methods

Our study utilized a 2-phase approach. The first phase was a retrospective chart review to establish baseline data regarding adult inpatients with a low procalcitonin level; these patients were randomly selected over a 1-year period (2017). Patients were included if they were 18 years of age or older, under the care of an inpatient service, and had a single procalcitonin level < 0.25 mcg/L obtained during their admission. Patients admitted to the intensive care unit were excluded. In the second phase, we prospectively identified similar patients admitted between January and March 2018 using a web-based, real-time clinical surveillance system. When patients with low procalcitonin levels were identified, 2 participating clinical pharmacists screened for antibiotic use and indication. If it was determined that the antibiotic could be discontinued as a result of the low procalcitonin level and no additional indication for antibiotics was present, the pharmacist contacted the patient’s health care provider via telephone to discuss possible antibiotic discontinuation. Data collected before and after the intervention included total antibiotic treatment duration, white blood cell count, maximum temperature, age, and procalcitonin level.

A sample size of 86 was calculated to provide an alpha of 0.05 and a power of 0.8. A nonparametric Wilcoxon 2-sample test was used to test for a difference in duration of antibiotic treatment between the baseline and intervention groups. A nonparametric test was used due to right-skewed data. All patients were included in the group analysis, regardless of antibiotic use, as the procalcitonin level may have been used in the decision to initiate antibiotics, and this is more representative of a real-world application of the test. This allowed for detection of a significant decrease of 2 days in antibiotic duration post intervention, with a 10% margin to compensate for potential missing data. Data from 86 patients obtained prior to the pharmacist intervention acted as a control comparison group. Statistical analysis was performed using SAS 9.4.

Results

A total of 172 patients were included in this study: 86 patients prior to the intervention, and 86 after implementation. Baseline demographics, laboratory values, vitals, and principal diagnoses for both groups are shown in Table 1 and Table 2. The most common indications for procalcitonin measurement were pneumonia (45.9%), chronic obstructive pulmonary disease (15.7%), and sepsis (14.5%). The remaining diagnoses were encephalopathy, fever and leukocytosis, skin and soft tissue infection, urinary tract infection or pyelonephritis, bone and joint infection, meningitis, intra-abdominal infection, and asthma exacerbation.

Antibiotic therapy was initiated in 68% of the patients overall, 59% in the baseline group and 76% in the intervention group. The duration of antibiotic use was not significantly different between the baseline (3.14 ± 4.04 days) and intervention (3.34 ± 2.8 days) groups (P = 0.1083). Furthermore, antibiotic treatment duration did not vary significantly with patient age, white blood cell count, maximum temperature, or procalcitonin level in either group. Although there was no difference in total antibiotic treatment duration, a post-hoc analysis revealed a 0.6-day decrease in the interval between the date of procalcitonin measurement and the stop date of antibiotics in the intervention group. The average time from admission to obtaining a procalcitonin level was 3 days in the baseline group and 2 days in the intervention group.

Discussion

Our study did not demonstrate a difference in total antibiotic treatment duration with procalcitonin measurement and an oral communication intervention made by a clinical pharmacist at a community teaching hospital with a well-established antimicrobial stewardship program. This may be due to several factors. First, the providers did not receive ongoing education regarding the appropriate use or interpretation of procalcitonin. The procalcitonin result in the electronic health record references the risk for progression to severe sepsis and/or septic shock, but does not indicate how to use procalcitonin as an aid in antibiotic decision-making. However, a recent study in patients with lower respiratory tract infections treated by providers who had been educated on the use of procalcitonin failed to find a reduction in total antibiotic use.⁹ Second, our study included hospital-wide use of procalcitonin, and was not limited to infections for which procalcitonin use has the strongest evidence (eg, upper respiratory tract infections, pneumonia, sepsis). Thus, providers may have been less likely to use protocolized guidelines. Last, we did not limit the data on antibiotic duration to patients with a procalcitonin level obtained within a defined time frame from antibiotic initiation or time of admission, and some patients had procalcitonin levels measured several days into their hospital stay. While this is likely to have skewed the data in favor of longer antibiotic treatment courses, it also represents a more realistic way in which this laboratory test is being used. Our post-hoc finding of earlier discontinuation of antibiotics after procalcitonin measurement suggests that our intervention may have influenced the decision to discontinue antibiotics. Such an effect may be augmented if procalcitonin is measured earlier in a hospital admission.

Previous studies have also failed to show that the use of procalcitonin decreased duration of antibiotics.^9,10 In the aforementioned study regarding real-world outcomes in patients with lower respiratory tract infections, antibiotic duration was not reduced, despite provider education.⁹ A large observational study that evaluated real-world outcomes in intensive care unit patients did not find decreased antibiotic use or improved outcomes with procalcitonin use.¹⁰ With these large studies evaluating the 2 most common infectious diseases for which procalcitonin has previously been found to have clinical benefit, it is important for institutions to re-evaluate how procalcitonin is being utilized by providers. Furthermore, institutions should explore ways to optimize procalcitonin use and decrease unnecessary health care costs. Notably, the current community-acquired pneumonia guidelines recommend against routine use of procalcitonin.¹¹

Conclusion

Outside of clinical trials, and in the absence of an algorithmic approach, procalcitonin has not consistently been shown to aid in the diagnosis or treatment of infectious diseases. It is important to have a comprehensive antimicrobial stewardship program that includes an algorithmic protocol to promote appropriate laboratory testing and reduce total antibiotic use. In addition to improved communication with providers, other interventions need to be investigated to effectively use this biomarker or limit its use.

Acknowledgment: The authors thank the Western Michigan University Department of Epidemiology and Biostatistics for their assistance in preparing this article.

Corresponding author: James Vaillant, MD, Western Michigan University, Homer Stryker MD School of Medicine, 1000 Oakland Drive, Kalamazoo, MI, 49008; [email protected].

Financial disclosures: None.

From Western Michigan University, Homer Stryker MD School of Medicine, Kalamazoo, MI (Dr. Vaillant and Dr. Kavanaugh), Ferris State University, Grand Rapids, MI (Dr. Mersfelder), and Bronson Methodist Hospital, Kalamazoo, MI (Dr. Maynard).

Abstract

• Background: Procalcitonin has emerged as an important marker of sepsis and lung infections of bacterial origin. The role of procalcitonin in guiding antibiotic stewardship in lower respiratory tract infections and sepsis has been extensively studied, and use of this biomarker has been shown to decrease antibiotic usage in clinical trials. We sought to evaluate the impact of a pharmacist-driven initiative regarding discontinuation of antibiotics utilizing procalcitonin levels at a community teaching hospital.
• Methods: We retrospectively gathered baseline data on adult patients admitted to a community teaching hospital who were 18 years of age and older, under the care of an inpatient service, and had a single procalcitonin level < 0.25 mcg/L obtained during admission. We then prospectively identified an intervention group of similar patients using a web-based, real-time clinical surveillance system. When a low procalcitonin level was identified in the intervention group, the participating clinical pharmacists screened for antibiotic use and the indication(s), determined whether the antibiotic could be discontinued based on the low procalcitonin level and the absence of another indication for antibiotics, and, when appropriate, contacted the patient’s health care provider via telephone to discuss possible antibiotic discontinuation. The total antibiotic treatment duration was compared between the baseline and intervention groups.
• Results: A total of 172 patients were included in this study (86 in each group). The duration of antibiotic use was not significantly different between the baseline (3.14 ± 4.04 days) and the intervention (3.34 ± 2.8 days) groups (P = 0.1083). Other patient demographics did not influence antibiotic duration.
• Conclusion: Our study did not demonstrate a difference in total antibiotic treatment duration with the utilization of procalcitonin and an oral communication intervention made by a clinical pharmacist at a community-based teaching hospital. Outside of clinical trials, and in the absence of an algorithmic approach, procalcitonin has not consistently been shown to aid in the diagnosis and treatment of infectious diseases. It is important to have a comprehensive antimicrobial stewardship program to reduce antibiotic use and effectively use laboratory values.

Keywords: antibiotic use; bacterial infection; biomarkers; procalcitonin.

Procalcitonin is the precursor of the hormone calcitonin, which is normally produced in the parafollicular cells of the thyroid gland under physiological conditions.¹ However, procalcitonin is also released in response to a proinflammatory stimulus, especially that of bacterial origin.¹ The source of the procalcitonin surge seen during proinflammatory states is not the parafollicular cells of the thyroid, but rather the neuroendocrine cells of the lung and intestine.¹ Stimulants of procalcitonin in these scenarios include bacterial endotoxin, tumor necrosis factor, and interleukin-6.^1,2 Due to these observations, procalcitonin has emerged as an important marker of sepsis and lung infections of bacterial origin.³

The role of procalcitonin in guiding antibiotic stewardship in lower respiratory tract infections and sepsis has been extensively studied.^4,5 Various randomized controlled trials have shown that antibiotic stewardship guided by procalcitonin levels resulted in lower rates of antibiotic initiation and shorter duration of antibiotic use.^4-6 Similar results were obtained in prospective studies evaluating its role in patients with chronic obstructive pulmonary disease and sepsis.^7,8 Based on these data, protocol-driven procalcitonin-guided antibiotic stewardship appears beneficial.

Many of these studies employed rigorous protocols. Studies of procalcitonin use in a so-called real-world setting, in which the provider can order and use procalcitonin levels without the use of protocols, are limited. The objective of our study was to evaluate the impact of a pharmacist-driven initiative on discontinuing antibiotics, if indicated, utilizing single procalcitonin measurement results of < 0.25 mcg/L at a community teaching hospital.

Methods

Our study utilized a 2-phase approach. The first phase was a retrospective chart review to establish baseline data regarding adult inpatients with a low procalcitonin level; these patients were randomly selected over a 1-year period (2017). Patients were included if they were 18 years of age or older, under the care of an inpatient service, and had a single procalcitonin level < 0.25 mcg/L obtained during their admission. Patients admitted to the intensive care unit were excluded. In the second phase, we prospectively identified similar patients admitted between January and March 2018 using a web-based, real-time clinical surveillance system. When patients with low procalcitonin levels were identified, 2 participating clinical pharmacists screened for antibiotic use and indication. If it was determined that the antibiotic could be discontinued as a result of the low procalcitonin level and no additional indication for antibiotics was present, the pharmacist contacted the patient’s health care provider via telephone to discuss possible antibiotic discontinuation. Data collected before and after the intervention included total antibiotic treatment duration, white blood cell count, maximum temperature, age, and procalcitonin level.

A sample size of 86 was calculated to provide an alpha of 0.05 and a power of 0.8. A nonparametric Wilcoxon 2-sample test was used to test for a difference in duration of antibiotic treatment between the baseline and intervention groups. A nonparametric test was used due to right-skewed data. All patients were included in the group analysis, regardless of antibiotic use, as the procalcitonin level may have been used in the decision to initiate antibiotics, and this is more representative of a real-world application of the test. This allowed for detection of a significant decrease of 2 days in antibiotic duration post intervention, with a 10% margin to compensate for potential missing data. Data from 86 patients obtained prior to the pharmacist intervention acted as a control comparison group. Statistical analysis was performed using SAS 9.4.

Results

A total of 172 patients were included in this study: 86 patients prior to the intervention, and 86 after implementation. Baseline demographics, laboratory values, vitals, and principal diagnoses for both groups are shown in Table 1 and Table 2. The most common indications for procalcitonin measurement were pneumonia (45.9%), chronic obstructive pulmonary disease (15.7%), and sepsis (14.5%). The remaining diagnoses were encephalopathy, fever and leukocytosis, skin and soft tissue infection, urinary tract infection or pyelonephritis, bone and joint infection, meningitis, intra-abdominal infection, and asthma exacerbation.

Antibiotic therapy was initiated in 68% of the patients overall, 59% in the baseline group and 76% in the intervention group. The duration of antibiotic use was not significantly different between the baseline (3.14 ± 4.04 days) and intervention (3.34 ± 2.8 days) groups (P = 0.1083). Furthermore, antibiotic treatment duration did not vary significantly with patient age, white blood cell count, maximum temperature, or procalcitonin level in either group. Although there was no difference in total antibiotic treatment duration, a post-hoc analysis revealed a 0.6-day decrease in the interval between the date of procalcitonin measurement and the stop date of antibiotics in the intervention group. The average time from admission to obtaining a procalcitonin level was 3 days in the baseline group and 2 days in the intervention group.

Discussion

Our study did not demonstrate a difference in total antibiotic treatment duration with procalcitonin measurement and an oral communication intervention made by a clinical pharmacist at a community teaching hospital with a well-established antimicrobial stewardship program. This may be due to several factors. First, the providers did not receive ongoing education regarding the appropriate use or interpretation of procalcitonin. The procalcitonin result in the electronic health record references the risk for progression to severe sepsis and/or septic shock, but does not indicate how to use procalcitonin as an aid in antibiotic decision-making. However, a recent study in patients with lower respiratory tract infections treated by providers who had been educated on the use of procalcitonin failed to find a reduction in total antibiotic use.⁹ Second, our study included hospital-wide use of procalcitonin, and was not limited to infections for which procalcitonin use has the strongest evidence (eg, upper respiratory tract infections, pneumonia, sepsis). Thus, providers may have been less likely to use protocolized guidelines. Last, we did not limit the data on antibiotic duration to patients with a procalcitonin level obtained within a defined time frame from antibiotic initiation or time of admission, and some patients had procalcitonin levels measured several days into their hospital stay. While this is likely to have skewed the data in favor of longer antibiotic treatment courses, it also represents a more realistic way in which this laboratory test is being used. Our post-hoc finding of earlier discontinuation of antibiotics after procalcitonin measurement suggests that our intervention may have influenced the decision to discontinue antibiotics. Such an effect may be augmented if procalcitonin is measured earlier in a hospital admission.

Previous studies have also failed to show that the use of procalcitonin decreased duration of antibiotics.^9,10 In the aforementioned study regarding real-world outcomes in patients with lower respiratory tract infections, antibiotic duration was not reduced, despite provider education.⁹ A large observational study that evaluated real-world outcomes in intensive care unit patients did not find decreased antibiotic use or improved outcomes with procalcitonin use.¹⁰ With these large studies evaluating the 2 most common infectious diseases for which procalcitonin has previously been found to have clinical benefit, it is important for institutions to re-evaluate how procalcitonin is being utilized by providers. Furthermore, institutions should explore ways to optimize procalcitonin use and decrease unnecessary health care costs. Notably, the current community-acquired pneumonia guidelines recommend against routine use of procalcitonin.¹¹

Conclusion

Outside of clinical trials, and in the absence of an algorithmic approach, procalcitonin has not consistently been shown to aid in the diagnosis or treatment of infectious diseases. It is important to have a comprehensive antimicrobial stewardship program that includes an algorithmic protocol to promote appropriate laboratory testing and reduce total antibiotic use. In addition to improved communication with providers, other interventions need to be investigated to effectively use this biomarker or limit its use.

Acknowledgment: The authors thank the Western Michigan University Department of Epidemiology and Biostatistics for their assistance in preparing this article.

Corresponding author: James Vaillant, MD, Western Michigan University, Homer Stryker MD School of Medicine, 1000 Oakland Drive, Kalamazoo, MI, 49008; [email protected].

Financial disclosures: None.

From Western Michigan University, Homer Stryker MD School of Medicine, Kalamazoo, MI (Dr. Vaillant and Dr. Kavanaugh), Ferris State University, Grand Rapids, MI (Dr. Mersfelder), and Bronson Methodist Hospital, Kalamazoo, MI (Dr. Maynard).

Abstract

• Background: Procalcitonin has emerged as an important marker of sepsis and lung infections of bacterial origin. The role of procalcitonin in guiding antibiotic stewardship in lower respiratory tract infections and sepsis has been extensively studied, and use of this biomarker has been shown to decrease antibiotic usage in clinical trials. We sought to evaluate the impact of a pharmacist-driven initiative regarding discontinuation of antibiotics utilizing procalcitonin levels at a community teaching hospital.
• Methods: We retrospectively gathered baseline data on adult patients admitted to a community teaching hospital who were 18 years of age and older, under the care of an inpatient service, and had a single procalcitonin level < 0.25 mcg/L obtained during admission. We then prospectively identified an intervention group of similar patients using a web-based, real-time clinical surveillance system. When a low procalcitonin level was identified in the intervention group, the participating clinical pharmacists screened for antibiotic use and the indication(s), determined whether the antibiotic could be discontinued based on the low procalcitonin level and the absence of another indication for antibiotics, and, when appropriate, contacted the patient’s health care provider via telephone to discuss possible antibiotic discontinuation. The total antibiotic treatment duration was compared between the baseline and intervention groups.
• Results: A total of 172 patients were included in this study (86 in each group). The duration of antibiotic use was not significantly different between the baseline (3.14 ± 4.04 days) and the intervention (3.34 ± 2.8 days) groups (P = 0.1083). Other patient demographics did not influence antibiotic duration.
• Conclusion: Our study did not demonstrate a difference in total antibiotic treatment duration with the utilization of procalcitonin and an oral communication intervention made by a clinical pharmacist at a community-based teaching hospital. Outside of clinical trials, and in the absence of an algorithmic approach, procalcitonin has not consistently been shown to aid in the diagnosis and treatment of infectious diseases. It is important to have a comprehensive antimicrobial stewardship program to reduce antibiotic use and effectively use laboratory values.

Keywords: antibiotic use; bacterial infection; biomarkers; procalcitonin.

Procalcitonin is the precursor of the hormone calcitonin, which is normally produced in the parafollicular cells of the thyroid gland under physiological conditions.¹ However, procalcitonin is also released in response to a proinflammatory stimulus, especially that of bacterial origin.¹ The source of the procalcitonin surge seen during proinflammatory states is not the parafollicular cells of the thyroid, but rather the neuroendocrine cells of the lung and intestine.¹ Stimulants of procalcitonin in these scenarios include bacterial endotoxin, tumor necrosis factor, and interleukin-6.^1,2 Due to these observations, procalcitonin has emerged as an important marker of sepsis and lung infections of bacterial origin.³

The role of procalcitonin in guiding antibiotic stewardship in lower respiratory tract infections and sepsis has been extensively studied.^4,5 Various randomized controlled trials have shown that antibiotic stewardship guided by procalcitonin levels resulted in lower rates of antibiotic initiation and shorter duration of antibiotic use.^4-6 Similar results were obtained in prospective studies evaluating its role in patients with chronic obstructive pulmonary disease and sepsis.^7,8 Based on these data, protocol-driven procalcitonin-guided antibiotic stewardship appears beneficial.

Many of these studies employed rigorous protocols. Studies of procalcitonin use in a so-called real-world setting, in which the provider can order and use procalcitonin levels without the use of protocols, are limited. The objective of our study was to evaluate the impact of a pharmacist-driven initiative on discontinuing antibiotics, if indicated, utilizing single procalcitonin measurement results of < 0.25 mcg/L at a community teaching hospital.

Methods

Our study utilized a 2-phase approach. The first phase was a retrospective chart review to establish baseline data regarding adult inpatients with a low procalcitonin level; these patients were randomly selected over a 1-year period (2017). Patients were included if they were 18 years of age or older, under the care of an inpatient service, and had a single procalcitonin level < 0.25 mcg/L obtained during their admission. Patients admitted to the intensive care unit were excluded. In the second phase, we prospectively identified similar patients admitted between January and March 2018 using a web-based, real-time clinical surveillance system. When patients with low procalcitonin levels were identified, 2 participating clinical pharmacists screened for antibiotic use and indication. If it was determined that the antibiotic could be discontinued as a result of the low procalcitonin level and no additional indication for antibiotics was present, the pharmacist contacted the patient’s health care provider via telephone to discuss possible antibiotic discontinuation. Data collected before and after the intervention included total antibiotic treatment duration, white blood cell count, maximum temperature, age, and procalcitonin level.

A sample size of 86 was calculated to provide an alpha of 0.05 and a power of 0.8. A nonparametric Wilcoxon 2-sample test was used to test for a difference in duration of antibiotic treatment between the baseline and intervention groups. A nonparametric test was used due to right-skewed data. All patients were included in the group analysis, regardless of antibiotic use, as the procalcitonin level may have been used in the decision to initiate antibiotics, and this is more representative of a real-world application of the test. This allowed for detection of a significant decrease of 2 days in antibiotic duration post intervention, with a 10% margin to compensate for potential missing data. Data from 86 patients obtained prior to the pharmacist intervention acted as a control comparison group. Statistical analysis was performed using SAS 9.4.

Results

A total of 172 patients were included in this study: 86 patients prior to the intervention, and 86 after implementation. Baseline demographics, laboratory values, vitals, and principal diagnoses for both groups are shown in Table 1 and Table 2. The most common indications for procalcitonin measurement were pneumonia (45.9%), chronic obstructive pulmonary disease (15.7%), and sepsis (14.5%). The remaining diagnoses were encephalopathy, fever and leukocytosis, skin and soft tissue infection, urinary tract infection or pyelonephritis, bone and joint infection, meningitis, intra-abdominal infection, and asthma exacerbation.

Antibiotic therapy was initiated in 68% of the patients overall, 59% in the baseline group and 76% in the intervention group. The duration of antibiotic use was not significantly different between the baseline (3.14 ± 4.04 days) and intervention (3.34 ± 2.8 days) groups (P = 0.1083). Furthermore, antibiotic treatment duration did not vary significantly with patient age, white blood cell count, maximum temperature, or procalcitonin level in either group. Although there was no difference in total antibiotic treatment duration, a post-hoc analysis revealed a 0.6-day decrease in the interval between the date of procalcitonin measurement and the stop date of antibiotics in the intervention group. The average time from admission to obtaining a procalcitonin level was 3 days in the baseline group and 2 days in the intervention group.

Discussion

Our study did not demonstrate a difference in total antibiotic treatment duration with procalcitonin measurement and an oral communication intervention made by a clinical pharmacist at a community teaching hospital with a well-established antimicrobial stewardship program. This may be due to several factors. First, the providers did not receive ongoing education regarding the appropriate use or interpretation of procalcitonin. The procalcitonin result in the electronic health record references the risk for progression to severe sepsis and/or septic shock, but does not indicate how to use procalcitonin as an aid in antibiotic decision-making. However, a recent study in patients with lower respiratory tract infections treated by providers who had been educated on the use of procalcitonin failed to find a reduction in total antibiotic use.⁹ Second, our study included hospital-wide use of procalcitonin, and was not limited to infections for which procalcitonin use has the strongest evidence (eg, upper respiratory tract infections, pneumonia, sepsis). Thus, providers may have been less likely to use protocolized guidelines. Last, we did not limit the data on antibiotic duration to patients with a procalcitonin level obtained within a defined time frame from antibiotic initiation or time of admission, and some patients had procalcitonin levels measured several days into their hospital stay. While this is likely to have skewed the data in favor of longer antibiotic treatment courses, it also represents a more realistic way in which this laboratory test is being used. Our post-hoc finding of earlier discontinuation of antibiotics after procalcitonin measurement suggests that our intervention may have influenced the decision to discontinue antibiotics. Such an effect may be augmented if procalcitonin is measured earlier in a hospital admission.

Previous studies have also failed to show that the use of procalcitonin decreased duration of antibiotics.^9,10 In the aforementioned study regarding real-world outcomes in patients with lower respiratory tract infections, antibiotic duration was not reduced, despite provider education.⁹ A large observational study that evaluated real-world outcomes in intensive care unit patients did not find decreased antibiotic use or improved outcomes with procalcitonin use.¹⁰ With these large studies evaluating the 2 most common infectious diseases for which procalcitonin has previously been found to have clinical benefit, it is important for institutions to re-evaluate how procalcitonin is being utilized by providers. Furthermore, institutions should explore ways to optimize procalcitonin use and decrease unnecessary health care costs. Notably, the current community-acquired pneumonia guidelines recommend against routine use of procalcitonin.¹¹

Conclusion

Outside of clinical trials, and in the absence of an algorithmic approach, procalcitonin has not consistently been shown to aid in the diagnosis or treatment of infectious diseases. It is important to have a comprehensive antimicrobial stewardship program that includes an algorithmic protocol to promote appropriate laboratory testing and reduce total antibiotic use. In addition to improved communication with providers, other interventions need to be investigated to effectively use this biomarker or limit its use.

Acknowledgment: The authors thank the Western Michigan University Department of Epidemiology and Biostatistics for their assistance in preparing this article.

Corresponding author: James Vaillant, MD, Western Michigan University, Homer Stryker MD School of Medicine, 1000 Oakland Drive, Kalamazoo, MI, 49008; [email protected].

Financial disclosures: None.

Study Overview

Objective. To determine the timing of surgical intervention in asymptomatic patients with severe aortic stenosis.

Design. Open-label, multicenter, randomized controlled study.

Setting and participants. A total of 145 asymptomatic patients with very severe aortic stenosis were randomly assigned to early surgery or conservative care.

Main outcome measures. The primary endpoint was a composite of operative mortality or death from a cardiovascular cause during follow-up. The major secondary endpoint was death from any cause during follow-up.

Main results. The primary endpoint occurred in 1 of 73 patients (1%) in the early surgery group and 11 of 72 patients (15%) in the conservative care group (hazard ratio [HR], 0.09; 95% confidence interval [CI], 0.01-0.67, P = 0.003). The secondary endpoint occurred in 7% of patients in the early surgery group and 21% of patients in the conservative care group (HR, 0.33; 95% CI, 0.12-0.90).

Conclusion. Among asymptomatic patients with very severe aortic stenosis, the incidence of the composite of operative mortality or death from cardiovascular causes during follow-up was significantly lower among those who underwent early valve replacement surgery compared to those who received conservative care.

Commentary

Aortic stenosis is a progressive disease that can lead to angina, heart failure, and death.¹A higher mortality rate is reported in patients with symptomatic aortic stenosis, as compared to patients with asymptomatic disease, and current guidelines require symptoms to be present in order to proceed with aortic valve replacement.² Management of asymptomatic patients is often determined by the treating physician, with treatment decisions based on multiple factors, such as left ventricular function, stress test results, and the local level of expertise for surgery.²

In this context, the RECOVERY investigators report the findings of their well-designed randomized controlled study assessing patients with asymptomatic severe aortic stenosis, which was defined as aortic valve area ≤ 0.75 cm² and either transvalvular velocity > 4.5 m/s or a mean gradient ≥ 50 mm Hg. Compared to patients who received conservative care, patients who underwent early valve surgery had a significantly lower rate of a composite of operative mortality or death from any cardiovascular causes during follow-up. Notably, the number needed to treat to prevent 1 death from cardiovascular causes within 4 years was 20.

The strengths of this trial include complete long-term follow-up (> 4 years) and low cross-over rates. Furthermore, as the study targeted a previously understudied population, there were a number of interesting observations, in addition to the primary endpoint. First, the risk of sudden death was high in patients who received conservative care, 4% at 4 years and 14% at 8 years, a finding contrary to the common belief that asymptomatic patients are at lower risk of sudden cardiac death. Second, 74% of patients assigned to initial conservative care required aortic valve replacement during the follow-up period. Furthermore, when the patients assigned to conservative care required surgery, it was often performed emergently (17%), which could have contributed to the higher mortality in this group of patients. Finally, hospitalization for heart failure was more common in patients randomized to conservative care compared to patients with early surgery. These findings will help physicians conduct detailed, informed discussions with their patients regarding the risks/benefits of early surgery versus conservative management.

There are a few limitations of the RECOVERY trial to consider. First, this study investigated the effect of surgical aortic valve replacement; whether its findings can be extended to transcatheter aortic valve replacement (TAVR) requires further investigation. Patients who were enrolled in this study were younger and had fewer comorbidities than typical patients referred for TAVR. Second, all patients included in this study had the most severe form of aortic stenosis (valve area ≤ 0.75 cm² with either a peak velocity of ≥ 4.5 m/s or mean gradient ≥ 50 mm Hg). Finally, the study was performed in highly experienced centers, as evidenced by a very low (0%) mortality rate after aortic valve replacement. Therefore, the finding may not be applicable to centers that have less experience with aortic valve replacement surgery.

Applications for Clinical Practice

The findings of the RECOVERY trial strongly suggest a mortality benefit of early surgery compared to conservative management in patients with asymptomatic severe aortic stenosis. Early surgery should be favored over conservative management in this patient population.

–Taishi Hirai, MD

Study Overview

Objective. To determine the timing of surgical intervention in asymptomatic patients with severe aortic stenosis.

Design. Open-label, multicenter, randomized controlled study.

Setting and participants. A total of 145 asymptomatic patients with very severe aortic stenosis were randomly assigned to early surgery or conservative care.

Main outcome measures. The primary endpoint was a composite of operative mortality or death from a cardiovascular cause during follow-up. The major secondary endpoint was death from any cause during follow-up.

Main results. The primary endpoint occurred in 1 of 73 patients (1%) in the early surgery group and 11 of 72 patients (15%) in the conservative care group (hazard ratio [HR], 0.09; 95% confidence interval [CI], 0.01-0.67, P = 0.003). The secondary endpoint occurred in 7% of patients in the early surgery group and 21% of patients in the conservative care group (HR, 0.33; 95% CI, 0.12-0.90).

Conclusion. Among asymptomatic patients with very severe aortic stenosis, the incidence of the composite of operative mortality or death from cardiovascular causes during follow-up was significantly lower among those who underwent early valve replacement surgery compared to those who received conservative care.

Commentary

Aortic stenosis is a progressive disease that can lead to angina, heart failure, and death.¹A higher mortality rate is reported in patients with symptomatic aortic stenosis, as compared to patients with asymptomatic disease, and current guidelines require symptoms to be present in order to proceed with aortic valve replacement.² Management of asymptomatic patients is often determined by the treating physician, with treatment decisions based on multiple factors, such as left ventricular function, stress test results, and the local level of expertise for surgery.²

In this context, the RECOVERY investigators report the findings of their well-designed randomized controlled study assessing patients with asymptomatic severe aortic stenosis, which was defined as aortic valve area ≤ 0.75 cm² and either transvalvular velocity > 4.5 m/s or a mean gradient ≥ 50 mm Hg. Compared to patients who received conservative care, patients who underwent early valve surgery had a significantly lower rate of a composite of operative mortality or death from any cardiovascular causes during follow-up. Notably, the number needed to treat to prevent 1 death from cardiovascular causes within 4 years was 20.

The strengths of this trial include complete long-term follow-up (> 4 years) and low cross-over rates. Furthermore, as the study targeted a previously understudied population, there were a number of interesting observations, in addition to the primary endpoint. First, the risk of sudden death was high in patients who received conservative care, 4% at 4 years and 14% at 8 years, a finding contrary to the common belief that asymptomatic patients are at lower risk of sudden cardiac death. Second, 74% of patients assigned to initial conservative care required aortic valve replacement during the follow-up period. Furthermore, when the patients assigned to conservative care required surgery, it was often performed emergently (17%), which could have contributed to the higher mortality in this group of patients. Finally, hospitalization for heart failure was more common in patients randomized to conservative care compared to patients with early surgery. These findings will help physicians conduct detailed, informed discussions with their patients regarding the risks/benefits of early surgery versus conservative management.

There are a few limitations of the RECOVERY trial to consider. First, this study investigated the effect of surgical aortic valve replacement; whether its findings can be extended to transcatheter aortic valve replacement (TAVR) requires further investigation. Patients who were enrolled in this study were younger and had fewer comorbidities than typical patients referred for TAVR. Second, all patients included in this study had the most severe form of aortic stenosis (valve area ≤ 0.75 cm² with either a peak velocity of ≥ 4.5 m/s or mean gradient ≥ 50 mm Hg). Finally, the study was performed in highly experienced centers, as evidenced by a very low (0%) mortality rate after aortic valve replacement. Therefore, the finding may not be applicable to centers that have less experience with aortic valve replacement surgery.

Applications for Clinical Practice

The findings of the RECOVERY trial strongly suggest a mortality benefit of early surgery compared to conservative management in patients with asymptomatic severe aortic stenosis. Early surgery should be favored over conservative management in this patient population.

–Taishi Hirai, MD

Study Overview

Objective. To determine the timing of surgical intervention in asymptomatic patients with severe aortic stenosis.

Design. Open-label, multicenter, randomized controlled study.

Setting and participants. A total of 145 asymptomatic patients with very severe aortic stenosis were randomly assigned to early surgery or conservative care.

Main outcome measures. The primary endpoint was a composite of operative mortality or death from a cardiovascular cause during follow-up. The major secondary endpoint was death from any cause during follow-up.

Main results. The primary endpoint occurred in 1 of 73 patients (1%) in the early surgery group and 11 of 72 patients (15%) in the conservative care group (hazard ratio [HR], 0.09; 95% confidence interval [CI], 0.01-0.67, P = 0.003). The secondary endpoint occurred in 7% of patients in the early surgery group and 21% of patients in the conservative care group (HR, 0.33; 95% CI, 0.12-0.90).

Conclusion. Among asymptomatic patients with very severe aortic stenosis, the incidence of the composite of operative mortality or death from cardiovascular causes during follow-up was significantly lower among those who underwent early valve replacement surgery compared to those who received conservative care.

Commentary

Aortic stenosis is a progressive disease that can lead to angina, heart failure, and death.¹A higher mortality rate is reported in patients with symptomatic aortic stenosis, as compared to patients with asymptomatic disease, and current guidelines require symptoms to be present in order to proceed with aortic valve replacement.² Management of asymptomatic patients is often determined by the treating physician, with treatment decisions based on multiple factors, such as left ventricular function, stress test results, and the local level of expertise for surgery.²

In this context, the RECOVERY investigators report the findings of their well-designed randomized controlled study assessing patients with asymptomatic severe aortic stenosis, which was defined as aortic valve area ≤ 0.75 cm² and either transvalvular velocity > 4.5 m/s or a mean gradient ≥ 50 mm Hg. Compared to patients who received conservative care, patients who underwent early valve surgery had a significantly lower rate of a composite of operative mortality or death from any cardiovascular causes during follow-up. Notably, the number needed to treat to prevent 1 death from cardiovascular causes within 4 years was 20.

The strengths of this trial include complete long-term follow-up (> 4 years) and low cross-over rates. Furthermore, as the study targeted a previously understudied population, there were a number of interesting observations, in addition to the primary endpoint. First, the risk of sudden death was high in patients who received conservative care, 4% at 4 years and 14% at 8 years, a finding contrary to the common belief that asymptomatic patients are at lower risk of sudden cardiac death. Second, 74% of patients assigned to initial conservative care required aortic valve replacement during the follow-up period. Furthermore, when the patients assigned to conservative care required surgery, it was often performed emergently (17%), which could have contributed to the higher mortality in this group of patients. Finally, hospitalization for heart failure was more common in patients randomized to conservative care compared to patients with early surgery. These findings will help physicians conduct detailed, informed discussions with their patients regarding the risks/benefits of early surgery versus conservative management.

There are a few limitations of the RECOVERY trial to consider. First, this study investigated the effect of surgical aortic valve replacement; whether its findings can be extended to transcatheter aortic valve replacement (TAVR) requires further investigation. Patients who were enrolled in this study were younger and had fewer comorbidities than typical patients referred for TAVR. Second, all patients included in this study had the most severe form of aortic stenosis (valve area ≤ 0.75 cm² with either a peak velocity of ≥ 4.5 m/s or mean gradient ≥ 50 mm Hg). Finally, the study was performed in highly experienced centers, as evidenced by a very low (0%) mortality rate after aortic valve replacement. Therefore, the finding may not be applicable to centers that have less experience with aortic valve replacement surgery.

Applications for Clinical Practice

The findings of the RECOVERY trial strongly suggest a mortality benefit of early surgery compared to conservative management in patients with asymptomatic severe aortic stenosis. Early surgery should be favored over conservative management in this patient population.

–Taishi Hirai, MD

Study Overview

Objective. To compare the impact of conventional versus telemedicine follow-up of general surgery patients in outpatient clinics.

Design. Prospective randomized clinical trial.

Setting and participants. Participants were recruited from Hospital Germans Trias i Pujol, a tertiary care university hospital located in the outskirts of Barcelona (Catalonia, Spain). To be included in this study, participants had to have been treated in the general surgery department, have basic computer knowledge (ability to use e-mail or a social network), have a computer with webcam, and be 18 to 75 years of age, or they had to have a partner who met these criteria. Exclusion criteria included any disability making telemedicine follow-up impossible (eg, blindness, deafness, or mental disability; proctologic treatment; difficulty describing and/or showing complications in the surgical area; and clinical complications before discharge more severe than Clavien Dindo II), as well as withdrawal of consent. Patients who met the criteria and had just been discharged from the hospital were offered the opportunity to enroll by the surgeon in charge. Patients who agreed to participate provided informed consent and were assigned using a computerized block randomization list (allocation ratio 1:1).

Intervention. Time to visit was generally between 2 and 4 weeks after discharge (the interval to the follow-up visit was determined at the discretion of the treating surgeon, but always followed the usual schedule). To conduct the telemedicine follow-up through a video call, a medical cloud-based program fulfilling all European Union security and privacy policies was used. Four surgeons were assigned to perform the telemedicine visits and were trained on how to use the program before the study started. Visit format was the same in both groups: clinical and wound condition were assessed and pathology was discussed (the one difference was that physical exploration was not performed in the telemedicine group).

Main outcome measures. The primary outcome was the feasibility of telemedicine follow-up, and this was measured as the percentage of participants who completed follow-up in their corresponding group by the date scheduled at hospital discharge. Secondary outcomes included a comparison of clinical results and patient satisfaction. To assess the clinical results, extra visits to an outpatient clinic and/or the emergency department during the first 30 days after the follow-up visit were collected.

To evaluate patient satisfaction, a questionnaire was sent via email to the participants after the visit and, if they did not respond, a telephone survey was carried out (if there was no contact after 2 telephone calls, the participants was considered a missing value). The questionnaire was informed by the United Kingdom National Health Service outpatients questionnaire and the Telehealth Usability Questionnaire. It included 27 general questions asked of participants in both groups, plus 8 specific questions for participants in the conventional follow-up group and 14 specific questions for participants in the telemedicine group. To summarize all the included fields in the questionnaires (time to visit and visit length, comfort, tests and procedures performed before and during the visit, transport, waiting time, privacy, dealings with staff, platform usability, telemedicine, and satisfaction), participants were asked to provide a global satisfaction score on a scale from 1 to 5.

Analysis. To compare the groups in terms of proportion of outcomes, a chi-square test was used to analyze categorical variables. To compare medians between the groups, ordinal variables were analyzed using the Mann-Whitney U test. Statistical significance was set at P < 0.05.

Main results. Two-hundred patients were randomly allocated to 1 of the 2 groups, with 100 patients in each group. The groups did not differ significantly based on age (P = 0.836), gender (P = 0.393), or American Society of Anesthesiologists (ASA) score (P = 0.232). Time to visit did not differ significantly between the groups (P = 0.169), and while visits were generally shorter in the telemedicine group, the difference was not significant (P = 0.153). Diagnoses and treatments did not differ significantly between the groups (P = 0.853 and P = 0.461, respectively).

The primary outcome (follow-up feasibility) was achieved in 90% of the conventional follow-up group and in 74% of the telemedicine group (P = 0.003). Of the 10 patients in the conventional follow-up group who did not complete the follow-up, 8 did not attend the visit on the scheduled day and 2 were hospitalized for reasons not related to the study. In the telemedicine group, the 2 main reasons for failure to follow-up were technical difficulties (n = 10) and requests by patients to attend a conventional visit after being allocated to the telemedicine group (n = 10). Among the remaining 6 patients in the telemedicine group who did not attend a visit, 3 visited the outpatient clinic because of a known surgical wound infection before the visit, 2 did not respond to the video call and could not be contacted by other means, and 1 had other face-to-face visits scheduled in different departments of the hospital the same day as the telemedicine appointment.

There were no statistically significant differences in the clinical results of the 164 patients meeting the primary endpoint (P = 0.832). Twelve of the 90 (13.3%) patients in the conventional group attended extra visits after the follow-up, while 9 of the 74 patients (12.1%) in the telemedicine group (P = 0.823) attended extra visits after follow-up. The median global patient satisfaction score was 5 in both the conventional group (range, 2-5) and the telemedicine group (range, 1-5), with no statistically significant differences (P = 0.099). When patients in the telemedicine group were asked if they would accept the use of telemedicine as part of their medical treatment on an ongoing basis, they rated the proposition with a median score of 5 (range, 1-5).

Conclusion. Telemedicine is a feasible and acceptable complementary service to facilitate postoperative management in selected general surgery patients. This option produces good satisfaction rates and maintains clinical outcomes.

Commentary

In recent years, telemedicine has gained increased popularity in both medicine and surgery, affording surgeons greater opportunities for patient care, mentoring, collaboration, and teaching, without the limits of geographic boundaries. Telemedicine can be broadly described as a health care service utilizing telecommunication technologies for the purpose of communicating with and diagnosing and treating patients remotely.^1-4 To date, literature on telemedicine in surgical care has been limited.

In their systematic review, published in 2018, Asiri et al identified 24 studies published between 1998 and 2018, which included 3 randomized controlled trials, 3 pilot studies, 4 retrospective studies, and 14 prospective observational studies. In these studies, telemedicine protocols were used for preoperative assessment, diagnostic purposes, or consultation with another surgical department (10 studies); postoperative wound assessment (9 studies); and follow-up in place of conventional clinic visits (5 studies).³ In a 2017 systematic review of telemedicine for post-discharge surgical care, Gunter et al identified 21 studies, which included 3 randomized controlled trials, 6 pilot or feasibility studies, 4 retrospective record reviews, 2 case series, and 6 surveys.⁴ In these studies, telemedicine protocols were used for scheduled follow-up (10 studies), routine and ongoing monitoring (5 studies), or management of issues that arose after surgery (2 studies). These 2 reviews found telemedicine to be feasible, useful, and acceptable for postoperative evaluation and follow-up among both providers and patients.

Additional benefits noted in these studies included savings in patient travel, time, and cost. Perspectives on savings to the health system were mixed—while clinic time slots may open as a result of follow-up visits being done via telemedicine (resulting in potential improvements in access to surgical services and decreased wait times), there are still significant direct costs for purchasing necessary equipment and for educating and training providers on the use of the equipment. Other published reviews have discussed in greater detail the application, benefits, limitations, and barriers to telemedicine and provided insight from the perspectives of patients, providers, and health care systems.^1,2

Because studies on the use of telemedicine are limited, particularly in general surgery, and few of these studies have used a randomized clinical trial design, the present study is an important contribution to the literature. The authors found a significant difference between groups in terms of percentage of completed follow-up visits—90% of conventional follow-up group participants completed their visit versus 74% of telemedicine group participants. However, these differences were primarily attributed to technical difficulties experienced by telemedicine group participants, as well requests to have a conventional follow-up visit. In addition, telemedicine capabilities were limited to video calls via computers and webcams, and it is likely that successful completion of the follow-up visit would have been higher in the telemedicine group had the use of video calls via tablets or smartphones been an option. Perhaps more important, no significant differences were found in clinical outcomes (extra visits within 30 days after the follow-up visit) or patient satisfaction.

A key strength of this study is the use of a randomized clinical trial design to evaluate telemedicine as an alternative method for conducting patient visits following general surgery. Inclusion and exclusion criteria did not impose strict limitations on potential participants. Also, the authors evaluated differences in time to visit, length of visit, clinical results, and patient satisfaction between groups, in addition to the primary measure of completion of the follow-up visit.

This study has important limitations that should be noted as well, particularly related to the study design, some of which are acknowledged by the authors. Because this study was implemented in only 1 hospital, specifically, a tertiary care university hospital on the outskirts of an urban European city, the generalizability of the findings is limited. Also, the likelihood of selection bias is high, as enrollment was not offered to all patients who were discharged from the hospital and met inclusion criteria (limited by patient workload). The comparison of clinical results was limited, as the selected measure focused only on extra visits to an outpatient clinic and/or the emergency department during the first 30 days after the follow-up visit. This chosen measure does not account for less severe clinical results that did not require an additional visit, and does not represent a nuanced comparison of specific clinical indicators. In addition, this measure does not account for clinical complications that may have occurred beyond the 30-day period. Recall bias also was likely, given that the patient satisfaction questionnaire was delivered via email to patients at a later time after the follow-up visit, instead of being administered immediately after the visit. Last, group differences at baseline were assessed based only on age, gender, and ASA score, which does not preclude potential differences related to other factors, such as race/ethnicity, household income, comorbidities, insurance, and zip code. Future research with a similar objective would benefit from a randomized clinical trial design that recruits a wider diversity of patients across different clinic settings and incorporates more nuanced measures of primary and secondary outcomes.

Applications for Clinical Practice

With the ongoing COVID-19 pandemic, the integration of telemedicine capabilities into hospital systems is becoming more widespread and is proceeding at an accelerated pace. This study provides evidence that telemedicine is a feasible and acceptable complementary service to facilitate postoperative management in selected general surgery patients. Assuming that the needed technology and appropriate program training are available, telemedicine should be offered to patients, especially to maximize savings in terms of travel, time, and cost. However, the option for conventional (in-person) follow-up should remain, particularly in cases where there may be barriers to successful follow-up visits via telemedicine, including limited digital literacy, lack of access to necessary equipment, language/communication barriers, complex follow-up treatment, and difficulties in describing or showing complications in the surgical area.

–Katrina F. Mateo, PhD, MPH

Study Overview

Objective. To compare the impact of conventional versus telemedicine follow-up of general surgery patients in outpatient clinics.

Design. Prospective randomized clinical trial.

Setting and participants. Participants were recruited from Hospital Germans Trias i Pujol, a tertiary care university hospital located in the outskirts of Barcelona (Catalonia, Spain). To be included in this study, participants had to have been treated in the general surgery department, have basic computer knowledge (ability to use e-mail or a social network), have a computer with webcam, and be 18 to 75 years of age, or they had to have a partner who met these criteria. Exclusion criteria included any disability making telemedicine follow-up impossible (eg, blindness, deafness, or mental disability; proctologic treatment; difficulty describing and/or showing complications in the surgical area; and clinical complications before discharge more severe than Clavien Dindo II), as well as withdrawal of consent. Patients who met the criteria and had just been discharged from the hospital were offered the opportunity to enroll by the surgeon in charge. Patients who agreed to participate provided informed consent and were assigned using a computerized block randomization list (allocation ratio 1:1).

Intervention. Time to visit was generally between 2 and 4 weeks after discharge (the interval to the follow-up visit was determined at the discretion of the treating surgeon, but always followed the usual schedule). To conduct the telemedicine follow-up through a video call, a medical cloud-based program fulfilling all European Union security and privacy policies was used. Four surgeons were assigned to perform the telemedicine visits and were trained on how to use the program before the study started. Visit format was the same in both groups: clinical and wound condition were assessed and pathology was discussed (the one difference was that physical exploration was not performed in the telemedicine group).

Main outcome measures. The primary outcome was the feasibility of telemedicine follow-up, and this was measured as the percentage of participants who completed follow-up in their corresponding group by the date scheduled at hospital discharge. Secondary outcomes included a comparison of clinical results and patient satisfaction. To assess the clinical results, extra visits to an outpatient clinic and/or the emergency department during the first 30 days after the follow-up visit were collected.

To evaluate patient satisfaction, a questionnaire was sent via email to the participants after the visit and, if they did not respond, a telephone survey was carried out (if there was no contact after 2 telephone calls, the participants was considered a missing value). The questionnaire was informed by the United Kingdom National Health Service outpatients questionnaire and the Telehealth Usability Questionnaire. It included 27 general questions asked of participants in both groups, plus 8 specific questions for participants in the conventional follow-up group and 14 specific questions for participants in the telemedicine group. To summarize all the included fields in the questionnaires (time to visit and visit length, comfort, tests and procedures performed before and during the visit, transport, waiting time, privacy, dealings with staff, platform usability, telemedicine, and satisfaction), participants were asked to provide a global satisfaction score on a scale from 1 to 5.

Analysis. To compare the groups in terms of proportion of outcomes, a chi-square test was used to analyze categorical variables. To compare medians between the groups, ordinal variables were analyzed using the Mann-Whitney U test. Statistical significance was set at P < 0.05.

Main results. Two-hundred patients were randomly allocated to 1 of the 2 groups, with 100 patients in each group. The groups did not differ significantly based on age (P = 0.836), gender (P = 0.393), or American Society of Anesthesiologists (ASA) score (P = 0.232). Time to visit did not differ significantly between the groups (P = 0.169), and while visits were generally shorter in the telemedicine group, the difference was not significant (P = 0.153). Diagnoses and treatments did not differ significantly between the groups (P = 0.853 and P = 0.461, respectively).

The primary outcome (follow-up feasibility) was achieved in 90% of the conventional follow-up group and in 74% of the telemedicine group (P = 0.003). Of the 10 patients in the conventional follow-up group who did not complete the follow-up, 8 did not attend the visit on the scheduled day and 2 were hospitalized for reasons not related to the study. In the telemedicine group, the 2 main reasons for failure to follow-up were technical difficulties (n = 10) and requests by patients to attend a conventional visit after being allocated to the telemedicine group (n = 10). Among the remaining 6 patients in the telemedicine group who did not attend a visit, 3 visited the outpatient clinic because of a known surgical wound infection before the visit, 2 did not respond to the video call and could not be contacted by other means, and 1 had other face-to-face visits scheduled in different departments of the hospital the same day as the telemedicine appointment.

There were no statistically significant differences in the clinical results of the 164 patients meeting the primary endpoint (P = 0.832). Twelve of the 90 (13.3%) patients in the conventional group attended extra visits after the follow-up, while 9 of the 74 patients (12.1%) in the telemedicine group (P = 0.823) attended extra visits after follow-up. The median global patient satisfaction score was 5 in both the conventional group (range, 2-5) and the telemedicine group (range, 1-5), with no statistically significant differences (P = 0.099). When patients in the telemedicine group were asked if they would accept the use of telemedicine as part of their medical treatment on an ongoing basis, they rated the proposition with a median score of 5 (range, 1-5).

Conclusion. Telemedicine is a feasible and acceptable complementary service to facilitate postoperative management in selected general surgery patients. This option produces good satisfaction rates and maintains clinical outcomes.

Commentary

In recent years, telemedicine has gained increased popularity in both medicine and surgery, affording surgeons greater opportunities for patient care, mentoring, collaboration, and teaching, without the limits of geographic boundaries. Telemedicine can be broadly described as a health care service utilizing telecommunication technologies for the purpose of communicating with and diagnosing and treating patients remotely.^1-4 To date, literature on telemedicine in surgical care has been limited.

In their systematic review, published in 2018, Asiri et al identified 24 studies published between 1998 and 2018, which included 3 randomized controlled trials, 3 pilot studies, 4 retrospective studies, and 14 prospective observational studies. In these studies, telemedicine protocols were used for preoperative assessment, diagnostic purposes, or consultation with another surgical department (10 studies); postoperative wound assessment (9 studies); and follow-up in place of conventional clinic visits (5 studies).³ In a 2017 systematic review of telemedicine for post-discharge surgical care, Gunter et al identified 21 studies, which included 3 randomized controlled trials, 6 pilot or feasibility studies, 4 retrospective record reviews, 2 case series, and 6 surveys.⁴ In these studies, telemedicine protocols were used for scheduled follow-up (10 studies), routine and ongoing monitoring (5 studies), or management of issues that arose after surgery (2 studies). These 2 reviews found telemedicine to be feasible, useful, and acceptable for postoperative evaluation and follow-up among both providers and patients.

Additional benefits noted in these studies included savings in patient travel, time, and cost. Perspectives on savings to the health system were mixed—while clinic time slots may open as a result of follow-up visits being done via telemedicine (resulting in potential improvements in access to surgical services and decreased wait times), there are still significant direct costs for purchasing necessary equipment and for educating and training providers on the use of the equipment. Other published reviews have discussed in greater detail the application, benefits, limitations, and barriers to telemedicine and provided insight from the perspectives of patients, providers, and health care systems.^1,2

Because studies on the use of telemedicine are limited, particularly in general surgery, and few of these studies have used a randomized clinical trial design, the present study is an important contribution to the literature. The authors found a significant difference between groups in terms of percentage of completed follow-up visits—90% of conventional follow-up group participants completed their visit versus 74% of telemedicine group participants. However, these differences were primarily attributed to technical difficulties experienced by telemedicine group participants, as well requests to have a conventional follow-up visit. In addition, telemedicine capabilities were limited to video calls via computers and webcams, and it is likely that successful completion of the follow-up visit would have been higher in the telemedicine group had the use of video calls via tablets or smartphones been an option. Perhaps more important, no significant differences were found in clinical outcomes (extra visits within 30 days after the follow-up visit) or patient satisfaction.

A key strength of this study is the use of a randomized clinical trial design to evaluate telemedicine as an alternative method for conducting patient visits following general surgery. Inclusion and exclusion criteria did not impose strict limitations on potential participants. Also, the authors evaluated differences in time to visit, length of visit, clinical results, and patient satisfaction between groups, in addition to the primary measure of completion of the follow-up visit.

This study has important limitations that should be noted as well, particularly related to the study design, some of which are acknowledged by the authors. Because this study was implemented in only 1 hospital, specifically, a tertiary care university hospital on the outskirts of an urban European city, the generalizability of the findings is limited. Also, the likelihood of selection bias is high, as enrollment was not offered to all patients who were discharged from the hospital and met inclusion criteria (limited by patient workload). The comparison of clinical results was limited, as the selected measure focused only on extra visits to an outpatient clinic and/or the emergency department during the first 30 days after the follow-up visit. This chosen measure does not account for less severe clinical results that did not require an additional visit, and does not represent a nuanced comparison of specific clinical indicators. In addition, this measure does not account for clinical complications that may have occurred beyond the 30-day period. Recall bias also was likely, given that the patient satisfaction questionnaire was delivered via email to patients at a later time after the follow-up visit, instead of being administered immediately after the visit. Last, group differences at baseline were assessed based only on age, gender, and ASA score, which does not preclude potential differences related to other factors, such as race/ethnicity, household income, comorbidities, insurance, and zip code. Future research with a similar objective would benefit from a randomized clinical trial design that recruits a wider diversity of patients across different clinic settings and incorporates more nuanced measures of primary and secondary outcomes.

Applications for Clinical Practice

With the ongoing COVID-19 pandemic, the integration of telemedicine capabilities into hospital systems is becoming more widespread and is proceeding at an accelerated pace. This study provides evidence that telemedicine is a feasible and acceptable complementary service to facilitate postoperative management in selected general surgery patients. Assuming that the needed technology and appropriate program training are available, telemedicine should be offered to patients, especially to maximize savings in terms of travel, time, and cost. However, the option for conventional (in-person) follow-up should remain, particularly in cases where there may be barriers to successful follow-up visits via telemedicine, including limited digital literacy, lack of access to necessary equipment, language/communication barriers, complex follow-up treatment, and difficulties in describing or showing complications in the surgical area.

–Katrina F. Mateo, PhD, MPH

Study Overview

Objective. To compare the impact of conventional versus telemedicine follow-up of general surgery patients in outpatient clinics.

Design. Prospective randomized clinical trial.

Setting and participants. Participants were recruited from Hospital Germans Trias i Pujol, a tertiary care university hospital located in the outskirts of Barcelona (Catalonia, Spain). To be included in this study, participants had to have been treated in the general surgery department, have basic computer knowledge (ability to use e-mail or a social network), have a computer with webcam, and be 18 to 75 years of age, or they had to have a partner who met these criteria. Exclusion criteria included any disability making telemedicine follow-up impossible (eg, blindness, deafness, or mental disability; proctologic treatment; difficulty describing and/or showing complications in the surgical area; and clinical complications before discharge more severe than Clavien Dindo II), as well as withdrawal of consent. Patients who met the criteria and had just been discharged from the hospital were offered the opportunity to enroll by the surgeon in charge. Patients who agreed to participate provided informed consent and were assigned using a computerized block randomization list (allocation ratio 1:1).

Intervention. Time to visit was generally between 2 and 4 weeks after discharge (the interval to the follow-up visit was determined at the discretion of the treating surgeon, but always followed the usual schedule). To conduct the telemedicine follow-up through a video call, a medical cloud-based program fulfilling all European Union security and privacy policies was used. Four surgeons were assigned to perform the telemedicine visits and were trained on how to use the program before the study started. Visit format was the same in both groups: clinical and wound condition were assessed and pathology was discussed (the one difference was that physical exploration was not performed in the telemedicine group).

Main outcome measures. The primary outcome was the feasibility of telemedicine follow-up, and this was measured as the percentage of participants who completed follow-up in their corresponding group by the date scheduled at hospital discharge. Secondary outcomes included a comparison of clinical results and patient satisfaction. To assess the clinical results, extra visits to an outpatient clinic and/or the emergency department during the first 30 days after the follow-up visit were collected.

To evaluate patient satisfaction, a questionnaire was sent via email to the participants after the visit and, if they did not respond, a telephone survey was carried out (if there was no contact after 2 telephone calls, the participants was considered a missing value). The questionnaire was informed by the United Kingdom National Health Service outpatients questionnaire and the Telehealth Usability Questionnaire. It included 27 general questions asked of participants in both groups, plus 8 specific questions for participants in the conventional follow-up group and 14 specific questions for participants in the telemedicine group. To summarize all the included fields in the questionnaires (time to visit and visit length, comfort, tests and procedures performed before and during the visit, transport, waiting time, privacy, dealings with staff, platform usability, telemedicine, and satisfaction), participants were asked to provide a global satisfaction score on a scale from 1 to 5.

Analysis. To compare the groups in terms of proportion of outcomes, a chi-square test was used to analyze categorical variables. To compare medians between the groups, ordinal variables were analyzed using the Mann-Whitney U test. Statistical significance was set at P < 0.05.

Main results. Two-hundred patients were randomly allocated to 1 of the 2 groups, with 100 patients in each group. The groups did not differ significantly based on age (P = 0.836), gender (P = 0.393), or American Society of Anesthesiologists (ASA) score (P = 0.232). Time to visit did not differ significantly between the groups (P = 0.169), and while visits were generally shorter in the telemedicine group, the difference was not significant (P = 0.153). Diagnoses and treatments did not differ significantly between the groups (P = 0.853 and P = 0.461, respectively).

The primary outcome (follow-up feasibility) was achieved in 90% of the conventional follow-up group and in 74% of the telemedicine group (P = 0.003). Of the 10 patients in the conventional follow-up group who did not complete the follow-up, 8 did not attend the visit on the scheduled day and 2 were hospitalized for reasons not related to the study. In the telemedicine group, the 2 main reasons for failure to follow-up were technical difficulties (n = 10) and requests by patients to attend a conventional visit after being allocated to the telemedicine group (n = 10). Among the remaining 6 patients in the telemedicine group who did not attend a visit, 3 visited the outpatient clinic because of a known surgical wound infection before the visit, 2 did not respond to the video call and could not be contacted by other means, and 1 had other face-to-face visits scheduled in different departments of the hospital the same day as the telemedicine appointment.

There were no statistically significant differences in the clinical results of the 164 patients meeting the primary endpoint (P = 0.832). Twelve of the 90 (13.3%) patients in the conventional group attended extra visits after the follow-up, while 9 of the 74 patients (12.1%) in the telemedicine group (P = 0.823) attended extra visits after follow-up. The median global patient satisfaction score was 5 in both the conventional group (range, 2-5) and the telemedicine group (range, 1-5), with no statistically significant differences (P = 0.099). When patients in the telemedicine group were asked if they would accept the use of telemedicine as part of their medical treatment on an ongoing basis, they rated the proposition with a median score of 5 (range, 1-5).

Conclusion. Telemedicine is a feasible and acceptable complementary service to facilitate postoperative management in selected general surgery patients. This option produces good satisfaction rates and maintains clinical outcomes.

Commentary

In recent years, telemedicine has gained increased popularity in both medicine and surgery, affording surgeons greater opportunities for patient care, mentoring, collaboration, and teaching, without the limits of geographic boundaries. Telemedicine can be broadly described as a health care service utilizing telecommunication technologies for the purpose of communicating with and diagnosing and treating patients remotely.^1-4 To date, literature on telemedicine in surgical care has been limited.

In their systematic review, published in 2018, Asiri et al identified 24 studies published between 1998 and 2018, which included 3 randomized controlled trials, 3 pilot studies, 4 retrospective studies, and 14 prospective observational studies. In these studies, telemedicine protocols were used for preoperative assessment, diagnostic purposes, or consultation with another surgical department (10 studies); postoperative wound assessment (9 studies); and follow-up in place of conventional clinic visits (5 studies).³ In a 2017 systematic review of telemedicine for post-discharge surgical care, Gunter et al identified 21 studies, which included 3 randomized controlled trials, 6 pilot or feasibility studies, 4 retrospective record reviews, 2 case series, and 6 surveys.⁴ In these studies, telemedicine protocols were used for scheduled follow-up (10 studies), routine and ongoing monitoring (5 studies), or management of issues that arose after surgery (2 studies). These 2 reviews found telemedicine to be feasible, useful, and acceptable for postoperative evaluation and follow-up among both providers and patients.

Additional benefits noted in these studies included savings in patient travel, time, and cost. Perspectives on savings to the health system were mixed—while clinic time slots may open as a result of follow-up visits being done via telemedicine (resulting in potential improvements in access to surgical services and decreased wait times), there are still significant direct costs for purchasing necessary equipment and for educating and training providers on the use of the equipment. Other published reviews have discussed in greater detail the application, benefits, limitations, and barriers to telemedicine and provided insight from the perspectives of patients, providers, and health care systems.^1,2

Because studies on the use of telemedicine are limited, particularly in general surgery, and few of these studies have used a randomized clinical trial design, the present study is an important contribution to the literature. The authors found a significant difference between groups in terms of percentage of completed follow-up visits—90% of conventional follow-up group participants completed their visit versus 74% of telemedicine group participants. However, these differences were primarily attributed to technical difficulties experienced by telemedicine group participants, as well requests to have a conventional follow-up visit. In addition, telemedicine capabilities were limited to video calls via computers and webcams, and it is likely that successful completion of the follow-up visit would have been higher in the telemedicine group had the use of video calls via tablets or smartphones been an option. Perhaps more important, no significant differences were found in clinical outcomes (extra visits within 30 days after the follow-up visit) or patient satisfaction.

A key strength of this study is the use of a randomized clinical trial design to evaluate telemedicine as an alternative method for conducting patient visits following general surgery. Inclusion and exclusion criteria did not impose strict limitations on potential participants. Also, the authors evaluated differences in time to visit, length of visit, clinical results, and patient satisfaction between groups, in addition to the primary measure of completion of the follow-up visit.

This study has important limitations that should be noted as well, particularly related to the study design, some of which are acknowledged by the authors. Because this study was implemented in only 1 hospital, specifically, a tertiary care university hospital on the outskirts of an urban European city, the generalizability of the findings is limited. Also, the likelihood of selection bias is high, as enrollment was not offered to all patients who were discharged from the hospital and met inclusion criteria (limited by patient workload). The comparison of clinical results was limited, as the selected measure focused only on extra visits to an outpatient clinic and/or the emergency department during the first 30 days after the follow-up visit. This chosen measure does not account for less severe clinical results that did not require an additional visit, and does not represent a nuanced comparison of specific clinical indicators. In addition, this measure does not account for clinical complications that may have occurred beyond the 30-day period. Recall bias also was likely, given that the patient satisfaction questionnaire was delivered via email to patients at a later time after the follow-up visit, instead of being administered immediately after the visit. Last, group differences at baseline were assessed based only on age, gender, and ASA score, which does not preclude potential differences related to other factors, such as race/ethnicity, household income, comorbidities, insurance, and zip code. Future research with a similar objective would benefit from a randomized clinical trial design that recruits a wider diversity of patients across different clinic settings and incorporates more nuanced measures of primary and secondary outcomes.

Applications for Clinical Practice

With the ongoing COVID-19 pandemic, the integration of telemedicine capabilities into hospital systems is becoming more widespread and is proceeding at an accelerated pace. This study provides evidence that telemedicine is a feasible and acceptable complementary service to facilitate postoperative management in selected general surgery patients. Assuming that the needed technology and appropriate program training are available, telemedicine should be offered to patients, especially to maximize savings in terms of travel, time, and cost. However, the option for conventional (in-person) follow-up should remain, particularly in cases where there may be barriers to successful follow-up visits via telemedicine, including limited digital literacy, lack of access to necessary equipment, language/communication barriers, complex follow-up treatment, and difficulties in describing or showing complications in the surgical area.

–Katrina F. Mateo, PhD, MPH

We are months into the COVID-19 crisis, and mental health issues are proving to be rampant. In every crisis, there is opportunity, and this one is no different. The opportunity is clear. For Mental Health Awareness Month and beyond, we must convey a powerful message that mental health is key to our well-being and must be actively addressed. Because almost everyone has felt excess anxiety these last months, we have a unique chance to engage a wider audience.

To address the urgent need, the Mental Health Coalition was formed with the understanding that the mental health crisis is fueled by a pervasive and devastating stigma, preventing millions of individuals from being able to seek the critical treatment they need. Spearheaded by social activist and fashion designer, Kenneth Cole, it is a coalition of leading mental health organizations, brands, celebrities, and advocates who have joined forces to end the stigma surrounding mental health and to change the way people talk about, and care for, mental illness. The group’s mission listed on its website states: “We must increase the conversation around mental health. We must act to end silence, reduce stigma, and engage our community to inspire hope at this essential moment.”

As most of the United States has been under stay-at-home orders, our traditional relationships have been radically disrupted. New types of relationships are forming as we are relying even more on technology to connect us. Social media seems to be on the only “social” we can now safely engage in.

The coalition’s campaign, “#howareyoureally?” is harnessing the power of social media and creating a storytelling platform to allow users to more genuinely share their feelings in these unprecedented times. Celebrities include Whoopi Goldberg, Kendall Jenner, Chris Cuomo, Deepak Chopra, Kesha, and many more have already shared their stories.

“How Are You, Really?” challenges people to answer this question using social media in an open and honest fashion while still providing hope.

The second component of the initiative is to increase access to care, and they have a long list of collaborators, including leading mental health organizations such as the American Foundation for Suicide Prevention, Anxiety and Depression Association of America, Child Mind Institute, Depression and Bipolar Support Alliance, Didi Hirsch Mental Health Services, National Alliance on Mental Illness, and many more.

We have a unique opportunity this Mental Health Awareness Month, and I hope we will see more and more people sharing their stories and reaching out for help. As a community, we must be prepared to meet the escalating needs of our population.
 

Dr. Ritvo, a psychiatrist with more than 25 years’ experience, practices in Miami Beach, Fla. She is the author of “Bekindr – The Transformative Power of Kindness” (Hellertown, Pa.: Momosa Publishing, 2018) and is the founder of the Bekindr Global Initiative, a movement aimed at cultivating kindness in the world. Dr. Ritvo also is the cofounder of the Bold Beauty Project, a nonprofit group that pairs women with disabilities with photographers who create art exhibitions to raise awareness.

We are months into the COVID-19 crisis, and mental health issues are proving to be rampant. In every crisis, there is opportunity, and this one is no different. The opportunity is clear. For Mental Health Awareness Month and beyond, we must convey a powerful message that mental health is key to our well-being and must be actively addressed. Because almost everyone has felt excess anxiety these last months, we have a unique chance to engage a wider audience.

To address the urgent need, the Mental Health Coalition was formed with the understanding that the mental health crisis is fueled by a pervasive and devastating stigma, preventing millions of individuals from being able to seek the critical treatment they need. Spearheaded by social activist and fashion designer, Kenneth Cole, it is a coalition of leading mental health organizations, brands, celebrities, and advocates who have joined forces to end the stigma surrounding mental health and to change the way people talk about, and care for, mental illness. The group’s mission listed on its website states: “We must increase the conversation around mental health. We must act to end silence, reduce stigma, and engage our community to inspire hope at this essential moment.”

As most of the United States has been under stay-at-home orders, our traditional relationships have been radically disrupted. New types of relationships are forming as we are relying even more on technology to connect us. Social media seems to be on the only “social” we can now safely engage in.

The coalition’s campaign, “#howareyoureally?” is harnessing the power of social media and creating a storytelling platform to allow users to more genuinely share their feelings in these unprecedented times. Celebrities include Whoopi Goldberg, Kendall Jenner, Chris Cuomo, Deepak Chopra, Kesha, and many more have already shared their stories.

“How Are You, Really?” challenges people to answer this question using social media in an open and honest fashion while still providing hope.

The second component of the initiative is to increase access to care, and they have a long list of collaborators, including leading mental health organizations such as the American Foundation for Suicide Prevention, Anxiety and Depression Association of America, Child Mind Institute, Depression and Bipolar Support Alliance, Didi Hirsch Mental Health Services, National Alliance on Mental Illness, and many more.

We have a unique opportunity this Mental Health Awareness Month, and I hope we will see more and more people sharing their stories and reaching out for help. As a community, we must be prepared to meet the escalating needs of our population.
 

Dr. Ritvo, a psychiatrist with more than 25 years’ experience, practices in Miami Beach, Fla. She is the author of “Bekindr – The Transformative Power of Kindness” (Hellertown, Pa.: Momosa Publishing, 2018) and is the founder of the Bekindr Global Initiative, a movement aimed at cultivating kindness in the world. Dr. Ritvo also is the cofounder of the Bold Beauty Project, a nonprofit group that pairs women with disabilities with photographers who create art exhibitions to raise awareness.

We are months into the COVID-19 crisis, and mental health issues are proving to be rampant. In every crisis, there is opportunity, and this one is no different. The opportunity is clear. For Mental Health Awareness Month and beyond, we must convey a powerful message that mental health is key to our well-being and must be actively addressed. Because almost everyone has felt excess anxiety these last months, we have a unique chance to engage a wider audience.

To address the urgent need, the Mental Health Coalition was formed with the understanding that the mental health crisis is fueled by a pervasive and devastating stigma, preventing millions of individuals from being able to seek the critical treatment they need. Spearheaded by social activist and fashion designer, Kenneth Cole, it is a coalition of leading mental health organizations, brands, celebrities, and advocates who have joined forces to end the stigma surrounding mental health and to change the way people talk about, and care for, mental illness. The group’s mission listed on its website states: “We must increase the conversation around mental health. We must act to end silence, reduce stigma, and engage our community to inspire hope at this essential moment.”

As most of the United States has been under stay-at-home orders, our traditional relationships have been radically disrupted. New types of relationships are forming as we are relying even more on technology to connect us. Social media seems to be on the only “social” we can now safely engage in.

The coalition’s campaign, “#howareyoureally?” is harnessing the power of social media and creating a storytelling platform to allow users to more genuinely share their feelings in these unprecedented times. Celebrities include Whoopi Goldberg, Kendall Jenner, Chris Cuomo, Deepak Chopra, Kesha, and many more have already shared their stories.

“How Are You, Really?” challenges people to answer this question using social media in an open and honest fashion while still providing hope.

The second component of the initiative is to increase access to care, and they have a long list of collaborators, including leading mental health organizations such as the American Foundation for Suicide Prevention, Anxiety and Depression Association of America, Child Mind Institute, Depression and Bipolar Support Alliance, Didi Hirsch Mental Health Services, National Alliance on Mental Illness, and many more.

We have a unique opportunity this Mental Health Awareness Month, and I hope we will see more and more people sharing their stories and reaching out for help. As a community, we must be prepared to meet the escalating needs of our population.
 

Dr. Ritvo, a psychiatrist with more than 25 years’ experience, practices in Miami Beach, Fla. She is the author of “Bekindr – The Transformative Power of Kindness” (Hellertown, Pa.: Momosa Publishing, 2018) and is the founder of the Bekindr Global Initiative, a movement aimed at cultivating kindness in the world. Dr. Ritvo also is the cofounder of the Bold Beauty Project, a nonprofit group that pairs women with disabilities with photographers who create art exhibitions to raise awareness.

A new nationwide U.S. observational study suggests that ACE inhibitors may protect against severe illness in older people with COVID-19, prompting the start of a randomized clinical trial to test the strategy.

In addition, a new meta-analysis of all the available data on the use of ACE inhibitors and angiotensin-receptor blockers (ARBs) in COVID-19–infected patients has concluded that these drugs are not associated with more severe disease and do not increase susceptibility to infection.

The observational study, which was published on the MedRxiv preprint server on May 19 and has not yet been peer reviewed, was conducted by the health insurance company United Heath Group and by Yale University, New Haven, Conn.

The investigators analyzed data from 10,000 patients from across the United States who had tested positive for COVID-19, who were enrolled in Medicare Advantage insurance plans or were commercially insured, and who had received a prescription for one or more antihypertensive medications.

Results showed that the use of ACE inhibitors was associated with an almost 40% lower risk for COVID-19 hospitalization for older people enrolled in Medicare Advantage plans. No such benefit was seen in the younger commercially insured patients or in either group with ARBs.

Courtesy Yale University

At a telephone media briefing on the study, senior investigator Harlan M. Krumholz, MD, said: “We don’t believe this is enough info to change practice, but we do think this is an interesting and intriguing result.

“These findings merit a clinical trial to formally test whether ACE inhibitors – which are cheap, widely available, and well-tolerated drugs – can reduce hospitalization of patients infected with COVID-19,” added Dr. Krumholz, professor of medicine at Yale and director of the Yale New Haven Hospital Center for Outcomes Research.

A pragmatic clinical trial is now being planned. In this trial, 10,000 older people who test positive for COVID-19 will be randomly assigned to receive either a low dose of an ACE inhibitor or placebo. It is hoped that recruitment for the trial will begin in June of 2020. It is open to all eligible Americans who are older than 50 years, who test negative for COVID-19, and who are not taking medications for hypertension. Prospective patients can sign up at a dedicated website.

The randomized trial, also conducted by United Health Group and Yale, is said to be “one of the first virtual COVID-19 clinical trials to be launched at scale.”

For the observational study, the researchers identified 2,263 people who were receiving medication for hypertension and who tested positive for COVID-19. Of these, approximately two-thirds were older, Medicare Advantage enrollees; one-third were younger, commercially insured individuals.

In a propensity score–matched analysis, the investigators matched 441 patients who were taking ACE inhibitors to 441 patients who were taking other antihypertensive agents; and 412 patients who were receiving an ARB to 412 patients who were receiving other antihypertensive agents.

Results showed that during a median of 30 days after testing positive, 12.7% of the cohort were hospitalized for COVID-19. In propensity score–matched analyses, neither ACE inhibitors (hazard ratio [HR], 0.77; P = .18) nor ARBs (HR, 0.88; P =.48) were significantly associated with risk for hospitalization.

However, in analyses stratified by the insurance group, ACE inhibitors (but not ARBs) were associated with a significant lower risk for hospitalization among the Medicare group (HR, 0.61; P = .02) but not among the commercially insured group (HR, 2.14; P = .12).

A second study examined outcomes of 7,933 individuals with hypertension who were hospitalized with COVID-19 (92% of these patients were Medicare Advantage enrollees). Of these, 14.2% died, 59.5% survived to discharge, and 26.3% underwent ongoing hospitalization. In propensity score–matched analyses, use of neither an ACE inhibitor (HR, 0.97; P = .74) nor an ARB (HR, 1.15; P = .15) was associated with risk of in-hospital mortality.

The researchers said their findings are consistent with prior evidence from randomized clinical trials suggesting a reduced risk for pneumonia with ACE inhibitors that is not observed with ARBs.

They also cited some preclinical evidence that they said suggests a possible protective role for ACE inhibitors in COVID-19: that ACE inhibitors, but not ARBs, are associated with the upregulation of ACE2 receptors, which modulate the local interactions of the renin-angiotensin-aldosterone system in the lung tissue.

“The presence of ACE2 receptors, therefore, exerts a protective effect against the development of acute lung injury in infections with SARS coronaviruses, which lead to dysregulation of these mechanisms and endothelial damage,” they added. “Further, our observations do not support theoretical concerns of adverse outcomes due to enhanced virulence of SARS coronaviruses due to overexpression of ACE2 receptors in cell cultures – an indirect binding site for these viruses.”

The authors also noted that their findings have “important implications” for four ongoing randomized trials of ACE inhibitors/ARBs in COVID-19, “as none of them align with the observations of our study.”

They pointed out that of the four ongoing trials, three are testing the use of ACE inhibitors or ARBs in the treatment of hospitalized COVID-19 patients, and one is testing the use of a 10-day course of ARBs after a positive SARS-CoV-2 test to prevent hospitalization.
 

Experts cautious

However, two cardiovascular experts who were asked to comment on this latest study were not overly optimistic about the data.

Michael A. Weber, MD, professor of medicine at the State University of New York, Brooklyn, said: “This report adds to the growing number of observational studies that show varying effects of ACE inhibitors and ARBs in increasing or decreasing hospitalizations for COVID-19 and the likelihood of in-hospital mortality. Overall, this new report differs from others in the remarkable effects of insurance coverage: In particular, for ACE inhibitors, there was a 40% reduction in fatal events in Medicare patients but a twofold increase in patients using commercial insurance – albeit the test for heterogeneity when comparing the two groups did not quite reach statistical significance.

“In essence, these authors are saying that ACE inhibitors are highly protective in patients aged 65 or older but bordering on harmful in patients aged below 65. I agree that it’s worthwhile to check this finding in a prospective trial ... but this hypothesis does seem to be a reach.”

Dr. Weber noted that both ACE inhibitors and ARBs increase the level of the ACE2 enzyme to which the COVID-19 virus binds in the lungs.

“The ACE inhibitors do so by inhibiting the enzyme’s action and thus stimulate further enzyme production; the ARBs block the effects of angiotensin II, which results in high angiotensin II levels that also upregulate ACE2 production,” he said. “Perhaps the ACE inhibitors, by binding to the ACE enzyme, can in some way interfere with the enzyme’s uptake of the COVID virus and thus provide some measure of clinical protection. This is possible, but why would this effect be apparent only in older people?”

Catherine Hackett/MDedge News

John McMurray, MD, professor of medical cardiology at the University of Glasgow, Scotland, added: “This looks like a subgroup of a subgroup type analysis based on small numbers of events – I think there were only 77 hospitalizations among the 722 patients treated with an ACE inhibitor, and the Medicare Advantage subgroup was only 581 of those 722 patients.

“The hazard ratio had wide 95% CI [confidence interval] and a modest P value,” Dr. McMurray added. “So yes, interesting and hypothesis-generating, but not definitive.”
 

New meta-analysis

The new meta-analysis of all data so far available on ACE inhibitor and ARB use for patients with COVID-19 was published online in Annals of Internal Medicine on May 15.

The analysis is a living, systematic review with ongoing literature surveillance and critical appraisal, which will be updated as new data become available. It included 14 observational studies.

The authors, led by Katherine M. Mackey, MD, VA Portland Health Care System, Oregon, concluded: “High-certainty evidence suggests that ACE-inhibitor or ARB use is not associated with more severe COVID-19 disease, and moderate certainty evidence suggested no association between use of these medications and positive SARS-CoV-2 test results among symptomatic patients. Whether these medications increase the risk for mild or asymptomatic disease or are beneficial in COVID-19 treatment remains uncertain.”

In an accompanying editorial, William G. Kussmaul III, MD, Drexel University, Philadelphia, said that initial fears that these drugs may be harmful for patients with COVID-19 now seem to have been unfounded.

“We now have reasonable reassurance that drugs that alter the renin-angiotensin system do not pose substantial threats as either COVID-19 risk factors or severity multipliers,” he wrote.
 

A version of this article originally appeared on Medscape.com.

A new nationwide U.S. observational study suggests that ACE inhibitors may protect against severe illness in older people with COVID-19, prompting the start of a randomized clinical trial to test the strategy.

In addition, a new meta-analysis of all the available data on the use of ACE inhibitors and angiotensin-receptor blockers (ARBs) in COVID-19–infected patients has concluded that these drugs are not associated with more severe disease and do not increase susceptibility to infection.

The observational study, which was published on the MedRxiv preprint server on May 19 and has not yet been peer reviewed, was conducted by the health insurance company United Heath Group and by Yale University, New Haven, Conn.

The investigators analyzed data from 10,000 patients from across the United States who had tested positive for COVID-19, who were enrolled in Medicare Advantage insurance plans or were commercially insured, and who had received a prescription for one or more antihypertensive medications.

Results showed that the use of ACE inhibitors was associated with an almost 40% lower risk for COVID-19 hospitalization for older people enrolled in Medicare Advantage plans. No such benefit was seen in the younger commercially insured patients or in either group with ARBs.

Courtesy Yale University

At a telephone media briefing on the study, senior investigator Harlan M. Krumholz, MD, said: “We don’t believe this is enough info to change practice, but we do think this is an interesting and intriguing result.

“These findings merit a clinical trial to formally test whether ACE inhibitors – which are cheap, widely available, and well-tolerated drugs – can reduce hospitalization of patients infected with COVID-19,” added Dr. Krumholz, professor of medicine at Yale and director of the Yale New Haven Hospital Center for Outcomes Research.

A pragmatic clinical trial is now being planned. In this trial, 10,000 older people who test positive for COVID-19 will be randomly assigned to receive either a low dose of an ACE inhibitor or placebo. It is hoped that recruitment for the trial will begin in June of 2020. It is open to all eligible Americans who are older than 50 years, who test negative for COVID-19, and who are not taking medications for hypertension. Prospective patients can sign up at a dedicated website.

The randomized trial, also conducted by United Health Group and Yale, is said to be “one of the first virtual COVID-19 clinical trials to be launched at scale.”

For the observational study, the researchers identified 2,263 people who were receiving medication for hypertension and who tested positive for COVID-19. Of these, approximately two-thirds were older, Medicare Advantage enrollees; one-third were younger, commercially insured individuals.

In a propensity score–matched analysis, the investigators matched 441 patients who were taking ACE inhibitors to 441 patients who were taking other antihypertensive agents; and 412 patients who were receiving an ARB to 412 patients who were receiving other antihypertensive agents.

Results showed that during a median of 30 days after testing positive, 12.7% of the cohort were hospitalized for COVID-19. In propensity score–matched analyses, neither ACE inhibitors (hazard ratio [HR], 0.77; P = .18) nor ARBs (HR, 0.88; P =.48) were significantly associated with risk for hospitalization.

However, in analyses stratified by the insurance group, ACE inhibitors (but not ARBs) were associated with a significant lower risk for hospitalization among the Medicare group (HR, 0.61; P = .02) but not among the commercially insured group (HR, 2.14; P = .12).

A second study examined outcomes of 7,933 individuals with hypertension who were hospitalized with COVID-19 (92% of these patients were Medicare Advantage enrollees). Of these, 14.2% died, 59.5% survived to discharge, and 26.3% underwent ongoing hospitalization. In propensity score–matched analyses, use of neither an ACE inhibitor (HR, 0.97; P = .74) nor an ARB (HR, 1.15; P = .15) was associated with risk of in-hospital mortality.

The researchers said their findings are consistent with prior evidence from randomized clinical trials suggesting a reduced risk for pneumonia with ACE inhibitors that is not observed with ARBs.

They also cited some preclinical evidence that they said suggests a possible protective role for ACE inhibitors in COVID-19: that ACE inhibitors, but not ARBs, are associated with the upregulation of ACE2 receptors, which modulate the local interactions of the renin-angiotensin-aldosterone system in the lung tissue.

“The presence of ACE2 receptors, therefore, exerts a protective effect against the development of acute lung injury in infections with SARS coronaviruses, which lead to dysregulation of these mechanisms and endothelial damage,” they added. “Further, our observations do not support theoretical concerns of adverse outcomes due to enhanced virulence of SARS coronaviruses due to overexpression of ACE2 receptors in cell cultures – an indirect binding site for these viruses.”

The authors also noted that their findings have “important implications” for four ongoing randomized trials of ACE inhibitors/ARBs in COVID-19, “as none of them align with the observations of our study.”

They pointed out that of the four ongoing trials, three are testing the use of ACE inhibitors or ARBs in the treatment of hospitalized COVID-19 patients, and one is testing the use of a 10-day course of ARBs after a positive SARS-CoV-2 test to prevent hospitalization.
 

Experts cautious

However, two cardiovascular experts who were asked to comment on this latest study were not overly optimistic about the data.

Michael A. Weber, MD, professor of medicine at the State University of New York, Brooklyn, said: “This report adds to the growing number of observational studies that show varying effects of ACE inhibitors and ARBs in increasing or decreasing hospitalizations for COVID-19 and the likelihood of in-hospital mortality. Overall, this new report differs from others in the remarkable effects of insurance coverage: In particular, for ACE inhibitors, there was a 40% reduction in fatal events in Medicare patients but a twofold increase in patients using commercial insurance – albeit the test for heterogeneity when comparing the two groups did not quite reach statistical significance.

“In essence, these authors are saying that ACE inhibitors are highly protective in patients aged 65 or older but bordering on harmful in patients aged below 65. I agree that it’s worthwhile to check this finding in a prospective trial ... but this hypothesis does seem to be a reach.”

Dr. Weber noted that both ACE inhibitors and ARBs increase the level of the ACE2 enzyme to which the COVID-19 virus binds in the lungs.

“The ACE inhibitors do so by inhibiting the enzyme’s action and thus stimulate further enzyme production; the ARBs block the effects of angiotensin II, which results in high angiotensin II levels that also upregulate ACE2 production,” he said. “Perhaps the ACE inhibitors, by binding to the ACE enzyme, can in some way interfere with the enzyme’s uptake of the COVID virus and thus provide some measure of clinical protection. This is possible, but why would this effect be apparent only in older people?”

Catherine Hackett/MDedge News

John McMurray, MD, professor of medical cardiology at the University of Glasgow, Scotland, added: “This looks like a subgroup of a subgroup type analysis based on small numbers of events – I think there were only 77 hospitalizations among the 722 patients treated with an ACE inhibitor, and the Medicare Advantage subgroup was only 581 of those 722 patients.

“The hazard ratio had wide 95% CI [confidence interval] and a modest P value,” Dr. McMurray added. “So yes, interesting and hypothesis-generating, but not definitive.”
 

New meta-analysis

The new meta-analysis of all data so far available on ACE inhibitor and ARB use for patients with COVID-19 was published online in Annals of Internal Medicine on May 15.

The analysis is a living, systematic review with ongoing literature surveillance and critical appraisal, which will be updated as new data become available. It included 14 observational studies.

The authors, led by Katherine M. Mackey, MD, VA Portland Health Care System, Oregon, concluded: “High-certainty evidence suggests that ACE-inhibitor or ARB use is not associated with more severe COVID-19 disease, and moderate certainty evidence suggested no association between use of these medications and positive SARS-CoV-2 test results among symptomatic patients. Whether these medications increase the risk for mild or asymptomatic disease or are beneficial in COVID-19 treatment remains uncertain.”

In an accompanying editorial, William G. Kussmaul III, MD, Drexel University, Philadelphia, said that initial fears that these drugs may be harmful for patients with COVID-19 now seem to have been unfounded.

“We now have reasonable reassurance that drugs that alter the renin-angiotensin system do not pose substantial threats as either COVID-19 risk factors or severity multipliers,” he wrote.
 

A version of this article originally appeared on Medscape.com.

A new nationwide U.S. observational study suggests that ACE inhibitors may protect against severe illness in older people with COVID-19, prompting the start of a randomized clinical trial to test the strategy.

In addition, a new meta-analysis of all the available data on the use of ACE inhibitors and angiotensin-receptor blockers (ARBs) in COVID-19–infected patients has concluded that these drugs are not associated with more severe disease and do not increase susceptibility to infection.

The observational study, which was published on the MedRxiv preprint server on May 19 and has not yet been peer reviewed, was conducted by the health insurance company United Heath Group and by Yale University, New Haven, Conn.

The investigators analyzed data from 10,000 patients from across the United States who had tested positive for COVID-19, who were enrolled in Medicare Advantage insurance plans or were commercially insured, and who had received a prescription for one or more antihypertensive medications.

Results showed that the use of ACE inhibitors was associated with an almost 40% lower risk for COVID-19 hospitalization for older people enrolled in Medicare Advantage plans. No such benefit was seen in the younger commercially insured patients or in either group with ARBs.

Courtesy Yale University

At a telephone media briefing on the study, senior investigator Harlan M. Krumholz, MD, said: “We don’t believe this is enough info to change practice, but we do think this is an interesting and intriguing result.

“These findings merit a clinical trial to formally test whether ACE inhibitors – which are cheap, widely available, and well-tolerated drugs – can reduce hospitalization of patients infected with COVID-19,” added Dr. Krumholz, professor of medicine at Yale and director of the Yale New Haven Hospital Center for Outcomes Research.

A pragmatic clinical trial is now being planned. In this trial, 10,000 older people who test positive for COVID-19 will be randomly assigned to receive either a low dose of an ACE inhibitor or placebo. It is hoped that recruitment for the trial will begin in June of 2020. It is open to all eligible Americans who are older than 50 years, who test negative for COVID-19, and who are not taking medications for hypertension. Prospective patients can sign up at a dedicated website.

The randomized trial, also conducted by United Health Group and Yale, is said to be “one of the first virtual COVID-19 clinical trials to be launched at scale.”

For the observational study, the researchers identified 2,263 people who were receiving medication for hypertension and who tested positive for COVID-19. Of these, approximately two-thirds were older, Medicare Advantage enrollees; one-third were younger, commercially insured individuals.

In a propensity score–matched analysis, the investigators matched 441 patients who were taking ACE inhibitors to 441 patients who were taking other antihypertensive agents; and 412 patients who were receiving an ARB to 412 patients who were receiving other antihypertensive agents.

Results showed that during a median of 30 days after testing positive, 12.7% of the cohort were hospitalized for COVID-19. In propensity score–matched analyses, neither ACE inhibitors (hazard ratio [HR], 0.77; P = .18) nor ARBs (HR, 0.88; P =.48) were significantly associated with risk for hospitalization.

However, in analyses stratified by the insurance group, ACE inhibitors (but not ARBs) were associated with a significant lower risk for hospitalization among the Medicare group (HR, 0.61; P = .02) but not among the commercially insured group (HR, 2.14; P = .12).

A second study examined outcomes of 7,933 individuals with hypertension who were hospitalized with COVID-19 (92% of these patients were Medicare Advantage enrollees). Of these, 14.2% died, 59.5% survived to discharge, and 26.3% underwent ongoing hospitalization. In propensity score–matched analyses, use of neither an ACE inhibitor (HR, 0.97; P = .74) nor an ARB (HR, 1.15; P = .15) was associated with risk of in-hospital mortality.

The researchers said their findings are consistent with prior evidence from randomized clinical trials suggesting a reduced risk for pneumonia with ACE inhibitors that is not observed with ARBs.

They also cited some preclinical evidence that they said suggests a possible protective role for ACE inhibitors in COVID-19: that ACE inhibitors, but not ARBs, are associated with the upregulation of ACE2 receptors, which modulate the local interactions of the renin-angiotensin-aldosterone system in the lung tissue.

“The presence of ACE2 receptors, therefore, exerts a protective effect against the development of acute lung injury in infections with SARS coronaviruses, which lead to dysregulation of these mechanisms and endothelial damage,” they added. “Further, our observations do not support theoretical concerns of adverse outcomes due to enhanced virulence of SARS coronaviruses due to overexpression of ACE2 receptors in cell cultures – an indirect binding site for these viruses.”

The authors also noted that their findings have “important implications” for four ongoing randomized trials of ACE inhibitors/ARBs in COVID-19, “as none of them align with the observations of our study.”

They pointed out that of the four ongoing trials, three are testing the use of ACE inhibitors or ARBs in the treatment of hospitalized COVID-19 patients, and one is testing the use of a 10-day course of ARBs after a positive SARS-CoV-2 test to prevent hospitalization.
 

Experts cautious

However, two cardiovascular experts who were asked to comment on this latest study were not overly optimistic about the data.

Michael A. Weber, MD, professor of medicine at the State University of New York, Brooklyn, said: “This report adds to the growing number of observational studies that show varying effects of ACE inhibitors and ARBs in increasing or decreasing hospitalizations for COVID-19 and the likelihood of in-hospital mortality. Overall, this new report differs from others in the remarkable effects of insurance coverage: In particular, for ACE inhibitors, there was a 40% reduction in fatal events in Medicare patients but a twofold increase in patients using commercial insurance – albeit the test for heterogeneity when comparing the two groups did not quite reach statistical significance.

“In essence, these authors are saying that ACE inhibitors are highly protective in patients aged 65 or older but bordering on harmful in patients aged below 65. I agree that it’s worthwhile to check this finding in a prospective trial ... but this hypothesis does seem to be a reach.”

Dr. Weber noted that both ACE inhibitors and ARBs increase the level of the ACE2 enzyme to which the COVID-19 virus binds in the lungs.

“The ACE inhibitors do so by inhibiting the enzyme’s action and thus stimulate further enzyme production; the ARBs block the effects of angiotensin II, which results in high angiotensin II levels that also upregulate ACE2 production,” he said. “Perhaps the ACE inhibitors, by binding to the ACE enzyme, can in some way interfere with the enzyme’s uptake of the COVID virus and thus provide some measure of clinical protection. This is possible, but why would this effect be apparent only in older people?”

Catherine Hackett/MDedge News

John McMurray, MD, professor of medical cardiology at the University of Glasgow, Scotland, added: “This looks like a subgroup of a subgroup type analysis based on small numbers of events – I think there were only 77 hospitalizations among the 722 patients treated with an ACE inhibitor, and the Medicare Advantage subgroup was only 581 of those 722 patients.

“The hazard ratio had wide 95% CI [confidence interval] and a modest P value,” Dr. McMurray added. “So yes, interesting and hypothesis-generating, but not definitive.”
 

New meta-analysis

The new meta-analysis of all data so far available on ACE inhibitor and ARB use for patients with COVID-19 was published online in Annals of Internal Medicine on May 15.

The analysis is a living, systematic review with ongoing literature surveillance and critical appraisal, which will be updated as new data become available. It included 14 observational studies.

The authors, led by Katherine M. Mackey, MD, VA Portland Health Care System, Oregon, concluded: “High-certainty evidence suggests that ACE-inhibitor or ARB use is not associated with more severe COVID-19 disease, and moderate certainty evidence suggested no association between use of these medications and positive SARS-CoV-2 test results among symptomatic patients. Whether these medications increase the risk for mild or asymptomatic disease or are beneficial in COVID-19 treatment remains uncertain.”

In an accompanying editorial, William G. Kussmaul III, MD, Drexel University, Philadelphia, said that initial fears that these drugs may be harmful for patients with COVID-19 now seem to have been unfounded.

“We now have reasonable reassurance that drugs that alter the renin-angiotensin system do not pose substantial threats as either COVID-19 risk factors or severity multipliers,” he wrote.
 

A version of this article originally appeared on Medscape.com.

The drastic drop in admissions for acute myocardial infarctions (AMI) during the COVID-19 pandemic in Italy has seen a parallel rise in MI fatality rates in those who do present to hospitals, according to a new report. This gives credence to suggestions that people have avoided hospitals during the pandemic despite life-threatening emergencies.

Salvatore De Rosa, MD, PhD, and colleagues reported their results in the European Heart Journal.

“These data return a frightening picture of about half of AMI patients not reaching out to the hospital at all, which will probably significantly increase mortality for AMI and bring with it a number of patients with post-MI heart failure, despite the fact that acute coronary syndrome management protocols were promptly implemented,” Dr. De Rosa, of Magna Graecia University in Catanzaro, Italy, and associates wrote.
 

Hospitalizations down

The study counted AMIs at 54 hospital coronary care units nationwide for the week of March 12-19, 2020, at the height of the coronavirus outbreak in northern Italy, and compared that with an equivalent week in 2019. The researchers reported 319 AMIs during the week in 2020, compared with 618 in the equivalent 2019 week, a 48% reduction (P < .001). Although the outbreak was worst in northern Italy, the decline in admissions occurred throughout the country.

An analysis of subtype determined the decline in the incidence of ST-segment elevation MI lagged significantly behind that of non-STEMI. STEMI declined from 268 in 2019 to 197 in 2020, a 27% reduction, while hospitalizations for non-STEMI went from 350 to 122, a 65% reduction.

The researchers also found substantial reductions in hospitalizations for heart failure, by 47%, and atrial fibrillation, by 53%. Incidentally, the mean age of atrial fibrillation patients was considerably younger in 2020: 64.6 vs. 70 years.
 

Death, complications up

AMI patients who managed to get to the hospital during the pandemic also had worse outcomes. Mortality for STEMI cases more than tripled, to 14% during the outbreak, compared with 4% in 2019 (P < .001) and complication rates increased by 80% to 19% (P = .025). Twenty-one STEMI patients were positive for COVID-19 and more than a quarter (29%) died, which was more than two and a half times the 12% death rate in non–COVID-19 STEMI patients.

Analysis of the STEMI group also found that the care gap for women with heart disease worsened significantly during the pandemic, as they comprised 20.3% of cases this year, compared with 25.4% before the pandemic. Also, the reduction in admissions for STEMI during the pandemic was statistically significant at 41% for women, but not for men at 18%.

Non-STEMI patients fared better overall than STEMI patients, but their outcomes also worsened during the pandemic. Non-STEMI patients were significantly less likely to have percutaneous coronary intervention during the pandemic than previously; the rate declined by 13%, from 77% to 66%. The non-STEMI mortality rate nearly doubled, although not statistically significantly, from 1.7% to 3.3%, whereas complication rates actually more than doubled, from 5.1% to 10.7%, a significant difference. Twelve (9.8%) of the non-STEMI patients were COVID-19 positive, but none died.
 

Trend extends beyond borders

Dr. De Rosa and colleagues noted that their findings are in line with studies that reported similar declines for STEMI interventions in the United States and Spain during the pandemic (J Am Coll Cardiol. 2020. doi: 10.1016/j.jacc.2020.04.011; REC Interv Cardiol. 2020. doi: 10.24875/RECIC.M20000120).

Additionally, a group at Kaiser Permanente in Northern California also reported a 50% decline in the incidence of AMI hospitalizations during the pandemic (N Engl J Med. 2020 May 19. doi: 10.1056/NEJMc2015630). Likewise, a study of aortic dissections in New York reported a sharp decline in procedures during the pandemic in the city, from 13 to 3 a month (J Am Coll Cardiol. 2020 May 15. doi: 10.1016/j.jacc.2020.05.022)

The researchers in Italy didn’t aim to determine the reasons for the decline in AMI hospitalizations, but Dr. De Rosa and colleagues speculated on the following explanations: Fear of contagion in response to media reports, concentration of resources to address COVID-19 may have engendered a sense to defer less urgent care among patients and health care systems, and a true reduction in acute cardiovascular disease because people under stay-at-home orders had low physical stress.

“The concern is fewer MIs most likely means people are dying at home or presenting later as this study suggests,” said Martha Gulati, MD, chief of cardiology at the University of Arizona, Phoenix, in interpreting the results of the Italian study.

That could be a result of a mixed message from the media about accessing health care during the pandemic. “What it suggests to a lot of us is that the media has transmitted this notion that hospitals are busy taking care of COVID-19 patients, but we never said don’t come to hospital if you’re having a heart attack,” Dr. Gulati said. “I think we created some sort of fear that patients if they didn’t have COVID-19 they didn’t want to bother physicians.”

Dr. Gulati, whose practice focuses on women with CVD, said the study’s findings that interventions in women dropped more precipitously than men were concerning. “We know already that women don’t do as well after a heart attack, compared to men, and now we see it worsen it even further when women aren’t presenting,” she said. “We’re worried that this is going to increase the gap.”

Dr. DeRosa and colleagues have no relevant financial relationships to disclose.

SOURCE: De Rosa S et al. Euro Heart J. 2020 May 15. doi: 10.1093/eurheartj/ehaa409.

The drastic drop in admissions for acute myocardial infarctions (AMI) during the COVID-19 pandemic in Italy has seen a parallel rise in MI fatality rates in those who do present to hospitals, according to a new report. This gives credence to suggestions that people have avoided hospitals during the pandemic despite life-threatening emergencies.

Salvatore De Rosa, MD, PhD, and colleagues reported their results in the European Heart Journal.

“These data return a frightening picture of about half of AMI patients not reaching out to the hospital at all, which will probably significantly increase mortality for AMI and bring with it a number of patients with post-MI heart failure, despite the fact that acute coronary syndrome management protocols were promptly implemented,” Dr. De Rosa, of Magna Graecia University in Catanzaro, Italy, and associates wrote.
 

Hospitalizations down

The study counted AMIs at 54 hospital coronary care units nationwide for the week of March 12-19, 2020, at the height of the coronavirus outbreak in northern Italy, and compared that with an equivalent week in 2019. The researchers reported 319 AMIs during the week in 2020, compared with 618 in the equivalent 2019 week, a 48% reduction (P < .001). Although the outbreak was worst in northern Italy, the decline in admissions occurred throughout the country.

An analysis of subtype determined the decline in the incidence of ST-segment elevation MI lagged significantly behind that of non-STEMI. STEMI declined from 268 in 2019 to 197 in 2020, a 27% reduction, while hospitalizations for non-STEMI went from 350 to 122, a 65% reduction.

The researchers also found substantial reductions in hospitalizations for heart failure, by 47%, and atrial fibrillation, by 53%. Incidentally, the mean age of atrial fibrillation patients was considerably younger in 2020: 64.6 vs. 70 years.
 

Death, complications up

AMI patients who managed to get to the hospital during the pandemic also had worse outcomes. Mortality for STEMI cases more than tripled, to 14% during the outbreak, compared with 4% in 2019 (P < .001) and complication rates increased by 80% to 19% (P = .025). Twenty-one STEMI patients were positive for COVID-19 and more than a quarter (29%) died, which was more than two and a half times the 12% death rate in non–COVID-19 STEMI patients.

Analysis of the STEMI group also found that the care gap for women with heart disease worsened significantly during the pandemic, as they comprised 20.3% of cases this year, compared with 25.4% before the pandemic. Also, the reduction in admissions for STEMI during the pandemic was statistically significant at 41% for women, but not for men at 18%.

Non-STEMI patients fared better overall than STEMI patients, but their outcomes also worsened during the pandemic. Non-STEMI patients were significantly less likely to have percutaneous coronary intervention during the pandemic than previously; the rate declined by 13%, from 77% to 66%. The non-STEMI mortality rate nearly doubled, although not statistically significantly, from 1.7% to 3.3%, whereas complication rates actually more than doubled, from 5.1% to 10.7%, a significant difference. Twelve (9.8%) of the non-STEMI patients were COVID-19 positive, but none died.
 

Trend extends beyond borders

Dr. De Rosa and colleagues noted that their findings are in line with studies that reported similar declines for STEMI interventions in the United States and Spain during the pandemic (J Am Coll Cardiol. 2020. doi: 10.1016/j.jacc.2020.04.011; REC Interv Cardiol. 2020. doi: 10.24875/RECIC.M20000120).

Additionally, a group at Kaiser Permanente in Northern California also reported a 50% decline in the incidence of AMI hospitalizations during the pandemic (N Engl J Med. 2020 May 19. doi: 10.1056/NEJMc2015630). Likewise, a study of aortic dissections in New York reported a sharp decline in procedures during the pandemic in the city, from 13 to 3 a month (J Am Coll Cardiol. 2020 May 15. doi: 10.1016/j.jacc.2020.05.022)

The researchers in Italy didn’t aim to determine the reasons for the decline in AMI hospitalizations, but Dr. De Rosa and colleagues speculated on the following explanations: Fear of contagion in response to media reports, concentration of resources to address COVID-19 may have engendered a sense to defer less urgent care among patients and health care systems, and a true reduction in acute cardiovascular disease because people under stay-at-home orders had low physical stress.

“The concern is fewer MIs most likely means people are dying at home or presenting later as this study suggests,” said Martha Gulati, MD, chief of cardiology at the University of Arizona, Phoenix, in interpreting the results of the Italian study.

That could be a result of a mixed message from the media about accessing health care during the pandemic. “What it suggests to a lot of us is that the media has transmitted this notion that hospitals are busy taking care of COVID-19 patients, but we never said don’t come to hospital if you’re having a heart attack,” Dr. Gulati said. “I think we created some sort of fear that patients if they didn’t have COVID-19 they didn’t want to bother physicians.”

Dr. Gulati, whose practice focuses on women with CVD, said the study’s findings that interventions in women dropped more precipitously than men were concerning. “We know already that women don’t do as well after a heart attack, compared to men, and now we see it worsen it even further when women aren’t presenting,” she said. “We’re worried that this is going to increase the gap.”

Dr. DeRosa and colleagues have no relevant financial relationships to disclose.

SOURCE: De Rosa S et al. Euro Heart J. 2020 May 15. doi: 10.1093/eurheartj/ehaa409.

The drastic drop in admissions for acute myocardial infarctions (AMI) during the COVID-19 pandemic in Italy has seen a parallel rise in MI fatality rates in those who do present to hospitals, according to a new report. This gives credence to suggestions that people have avoided hospitals during the pandemic despite life-threatening emergencies.

Salvatore De Rosa, MD, PhD, and colleagues reported their results in the European Heart Journal.

“These data return a frightening picture of about half of AMI patients not reaching out to the hospital at all, which will probably significantly increase mortality for AMI and bring with it a number of patients with post-MI heart failure, despite the fact that acute coronary syndrome management protocols were promptly implemented,” Dr. De Rosa, of Magna Graecia University in Catanzaro, Italy, and associates wrote.
 

Hospitalizations down

The study counted AMIs at 54 hospital coronary care units nationwide for the week of March 12-19, 2020, at the height of the coronavirus outbreak in northern Italy, and compared that with an equivalent week in 2019. The researchers reported 319 AMIs during the week in 2020, compared with 618 in the equivalent 2019 week, a 48% reduction (P < .001). Although the outbreak was worst in northern Italy, the decline in admissions occurred throughout the country.

An analysis of subtype determined the decline in the incidence of ST-segment elevation MI lagged significantly behind that of non-STEMI. STEMI declined from 268 in 2019 to 197 in 2020, a 27% reduction, while hospitalizations for non-STEMI went from 350 to 122, a 65% reduction.

The researchers also found substantial reductions in hospitalizations for heart failure, by 47%, and atrial fibrillation, by 53%. Incidentally, the mean age of atrial fibrillation patients was considerably younger in 2020: 64.6 vs. 70 years.
 

Death, complications up

AMI patients who managed to get to the hospital during the pandemic also had worse outcomes. Mortality for STEMI cases more than tripled, to 14% during the outbreak, compared with 4% in 2019 (P < .001) and complication rates increased by 80% to 19% (P = .025). Twenty-one STEMI patients were positive for COVID-19 and more than a quarter (29%) died, which was more than two and a half times the 12% death rate in non–COVID-19 STEMI patients.

Analysis of the STEMI group also found that the care gap for women with heart disease worsened significantly during the pandemic, as they comprised 20.3% of cases this year, compared with 25.4% before the pandemic. Also, the reduction in admissions for STEMI during the pandemic was statistically significant at 41% for women, but not for men at 18%.

Non-STEMI patients fared better overall than STEMI patients, but their outcomes also worsened during the pandemic. Non-STEMI patients were significantly less likely to have percutaneous coronary intervention during the pandemic than previously; the rate declined by 13%, from 77% to 66%. The non-STEMI mortality rate nearly doubled, although not statistically significantly, from 1.7% to 3.3%, whereas complication rates actually more than doubled, from 5.1% to 10.7%, a significant difference. Twelve (9.8%) of the non-STEMI patients were COVID-19 positive, but none died.
 

Trend extends beyond borders

Dr. De Rosa and colleagues noted that their findings are in line with studies that reported similar declines for STEMI interventions in the United States and Spain during the pandemic (J Am Coll Cardiol. 2020. doi: 10.1016/j.jacc.2020.04.011; REC Interv Cardiol. 2020. doi: 10.24875/RECIC.M20000120).

Additionally, a group at Kaiser Permanente in Northern California also reported a 50% decline in the incidence of AMI hospitalizations during the pandemic (N Engl J Med. 2020 May 19. doi: 10.1056/NEJMc2015630). Likewise, a study of aortic dissections in New York reported a sharp decline in procedures during the pandemic in the city, from 13 to 3 a month (J Am Coll Cardiol. 2020 May 15. doi: 10.1016/j.jacc.2020.05.022)

The researchers in Italy didn’t aim to determine the reasons for the decline in AMI hospitalizations, but Dr. De Rosa and colleagues speculated on the following explanations: Fear of contagion in response to media reports, concentration of resources to address COVID-19 may have engendered a sense to defer less urgent care among patients and health care systems, and a true reduction in acute cardiovascular disease because people under stay-at-home orders had low physical stress.

“The concern is fewer MIs most likely means people are dying at home or presenting later as this study suggests,” said Martha Gulati, MD, chief of cardiology at the University of Arizona, Phoenix, in interpreting the results of the Italian study.

That could be a result of a mixed message from the media about accessing health care during the pandemic. “What it suggests to a lot of us is that the media has transmitted this notion that hospitals are busy taking care of COVID-19 patients, but we never said don’t come to hospital if you’re having a heart attack,” Dr. Gulati said. “I think we created some sort of fear that patients if they didn’t have COVID-19 they didn’t want to bother physicians.”

Dr. Gulati, whose practice focuses on women with CVD, said the study’s findings that interventions in women dropped more precipitously than men were concerning. “We know already that women don’t do as well after a heart attack, compared to men, and now we see it worsen it even further when women aren’t presenting,” she said. “We’re worried that this is going to increase the gap.”

Dr. DeRosa and colleagues have no relevant financial relationships to disclose.

SOURCE: De Rosa S et al. Euro Heart J. 2020 May 15. doi: 10.1093/eurheartj/ehaa409.

Coronavirus disease of 2019 (COVID-19) may lead to subacute thyroiditis in some patients, which is suspected to have viral or postviral origin, especially with upper respiratory tract infections, according to a case study in the Journal of Clinical Endocrinology & Metabolism.

Alessandro Brancatella, a PhD student at the University Hospital Pisa (Italy), and colleagues described the case of an 18-year-old woman who was tested Feb. 21 for SARS-CoV-2 infection after her father was hospitalized because of COVID-19. Her results were positive for the virus, and not long after, she developed mild symptoms. By March 13 and again on March 14, test swabs for SARS-CoV-2 were both negative.

On March 17, she presented with fever, fatigue, palpitations, and neck pain that radiated to her jaw. Testing and physical examination pointed to subacute thyroiditis, and she was soon diagnosed and treated with prednisone. Her neck pain and fever disappeared within 2 days, and the remaining symptoms went away within a week.

The authors noted that the woman’s thyroid had been evaluated before she tested positive for SARS-CoV-2, and at that time, thyroid disease was ruled out. They also pointed out that, although the exact etiology for subacute thyroiditis is unknown, “it is common opinion that the disease is due to a viral infection or to a post-viral inflammatory reaction in genetically predisposed subjects.” They cited examples of viruses with suspected causal associations, including mumps, Epstein-Barr virus, and HIV, and they suggested that, based on the timing of the woman’s subacute thyroiditis and the normal results of her thyroid evaluation before developing COVID-19, SARS-CoV-2 be added to that list.

“To our knowledge, this is the first case of [subacute thyroiditis] related to SARS-CoV-2,” they concluded. “We therefore believe that physicians should be alerted about the possibility of this additional clinical manifestation related to SARS-CoV-2 infection.”

One author reported funding from the University of Pisa.

[email protected]

SOURCE: Brancatella A et al. J Clin Endocrinol Metab. 2020 May 21. doi: 10.1210/clinem/dgaa276.

Coronavirus disease of 2019 (COVID-19) may lead to subacute thyroiditis in some patients, which is suspected to have viral or postviral origin, especially with upper respiratory tract infections, according to a case study in the Journal of Clinical Endocrinology & Metabolism.

Alessandro Brancatella, a PhD student at the University Hospital Pisa (Italy), and colleagues described the case of an 18-year-old woman who was tested Feb. 21 for SARS-CoV-2 infection after her father was hospitalized because of COVID-19. Her results were positive for the virus, and not long after, she developed mild symptoms. By March 13 and again on March 14, test swabs for SARS-CoV-2 were both negative.

On March 17, she presented with fever, fatigue, palpitations, and neck pain that radiated to her jaw. Testing and physical examination pointed to subacute thyroiditis, and she was soon diagnosed and treated with prednisone. Her neck pain and fever disappeared within 2 days, and the remaining symptoms went away within a week.

The authors noted that the woman’s thyroid had been evaluated before she tested positive for SARS-CoV-2, and at that time, thyroid disease was ruled out. They also pointed out that, although the exact etiology for subacute thyroiditis is unknown, “it is common opinion that the disease is due to a viral infection or to a post-viral inflammatory reaction in genetically predisposed subjects.” They cited examples of viruses with suspected causal associations, including mumps, Epstein-Barr virus, and HIV, and they suggested that, based on the timing of the woman’s subacute thyroiditis and the normal results of her thyroid evaluation before developing COVID-19, SARS-CoV-2 be added to that list.

“To our knowledge, this is the first case of [subacute thyroiditis] related to SARS-CoV-2,” they concluded. “We therefore believe that physicians should be alerted about the possibility of this additional clinical manifestation related to SARS-CoV-2 infection.”

One author reported funding from the University of Pisa.

[email protected]

SOURCE: Brancatella A et al. J Clin Endocrinol Metab. 2020 May 21. doi: 10.1210/clinem/dgaa276.

Coronavirus disease of 2019 (COVID-19) may lead to subacute thyroiditis in some patients, which is suspected to have viral or postviral origin, especially with upper respiratory tract infections, according to a case study in the Journal of Clinical Endocrinology & Metabolism.

Alessandro Brancatella, a PhD student at the University Hospital Pisa (Italy), and colleagues described the case of an 18-year-old woman who was tested Feb. 21 for SARS-CoV-2 infection after her father was hospitalized because of COVID-19. Her results were positive for the virus, and not long after, she developed mild symptoms. By March 13 and again on March 14, test swabs for SARS-CoV-2 were both negative.

On March 17, she presented with fever, fatigue, palpitations, and neck pain that radiated to her jaw. Testing and physical examination pointed to subacute thyroiditis, and she was soon diagnosed and treated with prednisone. Her neck pain and fever disappeared within 2 days, and the remaining symptoms went away within a week.

The authors noted that the woman’s thyroid had been evaluated before she tested positive for SARS-CoV-2, and at that time, thyroid disease was ruled out. They also pointed out that, although the exact etiology for subacute thyroiditis is unknown, “it is common opinion that the disease is due to a viral infection or to a post-viral inflammatory reaction in genetically predisposed subjects.” They cited examples of viruses with suspected causal associations, including mumps, Epstein-Barr virus, and HIV, and they suggested that, based on the timing of the woman’s subacute thyroiditis and the normal results of her thyroid evaluation before developing COVID-19, SARS-CoV-2 be added to that list.

“To our knowledge, this is the first case of [subacute thyroiditis] related to SARS-CoV-2,” they concluded. “We therefore believe that physicians should be alerted about the possibility of this additional clinical manifestation related to SARS-CoV-2 infection.”

One author reported funding from the University of Pisa.

[email protected]

SOURCE: Brancatella A et al. J Clin Endocrinol Metab. 2020 May 21. doi: 10.1210/clinem/dgaa276.