Original Research

Individuals with diabetes are at risk for developing foot ulcers or full-thickness defects in the epithelium of the foot. These defects can lead to bacterial invasion and foot infection, potentially resulting in leg amputation (Figure 1). Effective treatment to prevent leg amputation, known as limb salvage, requires management across multiple medical specialties including podiatry, vascular surgery, and infectious diseases. The multidisciplinary team approach to limb salvage was introduced in Boston in 1928 and has been the prevailing approach to this cross-specialty medical problem for at least a decade.^1,2

The Michael E. DeBakey Veterans Affairs Medical Center (MEDVAMC) has established an inpatient limb salvage program—a group of dedicated clinicians working collaboratively to provide evidence-guided management of patients hospitalized with foot ulcers, foot gangrene or any superimposed infection with the goal of avoiding leg amputations. We have seen a significant and durable reduction in the incidence of leg amputations among veterans at MEDVAMC.

This article describes the evolution and outcomes of the MEDVAMC limb salvage program over more than a decade. It includes changes to team structure and workflow, as well as past and present successes and challenges. The eAppendix provides a narrative summary with examples of how our clinical practice and research efforts have informed one another and how these findings are applied to clinical management. This process is part of the larger efforts of the Veterans Health Administration (VHA) to create a learning health system in which “internal data and experience are systematically integrated with external evidence, and that knowledge is put into practice.”³

Methods

Data from the VHA Support Service Center were used to obtain monthly major (leg) and minor (toe and partial foot) amputation records at MEDVAMC from October 2000 through May 2023. Yearly totals for the number of persons with diabetes and foot ulcers at MEDVAMC were also obtained from the support service center. Annual patient population sizes and number of persons with foot ulcers were converted to monthly estimates using cubic spline interpolation. Rates were calculated as 12-month rolling averages. Trend lines were created with locally weighted running line smoothing that used a span α of 0.1.

We characterized the patient population using data from cohorts of veterans treated for foot ulcers and foot infections at MEDVAMC. To compare the contemporary veteran population with nonveteran inpatients treated for foot ulcers and foot infections at other hospitals, we created a 2:1 nonveteran to veteran cohort matched by sex and zip code, using publicly available hospital admission data from the Texas Department of Health and State Health Services. Veterans used for this cohort comparison are consistent with the 100 consecutive patients who underwent angiography for limb salvage in 2022.

This research was approved by the Baylor College of Medicine Institutional Review Board (protocol H-34858) and the MEDVAMC Research Committee (IRBNet protocol 15A12. HB). All analyses used deidentified data in the R programming language version 4.2.2 using RStudio version 2022.06.0 Build 421.

Program Description

MEDVAMC is a 350-bed teaching hospital located in central Houston. Its hospital system includes 11 outpatient clinics, ranging from 28 to 126 miles (eAppendix, Supplemental Figure A) from MEDVAMC. MEDVAMC provides vascular, orthopedic, and podiatric surgery services, as well as many other highly specialized services such as liver and heart transplants. The hospital’s risk-adjusted rates of operative morbidity and mortality (observed-to-expected ratios) are significantly lower than expected.

Despite this, the incidence rate of leg amputations at MEDVAMC in early 2011 was nearly 3-times higher than the VHA average. The inpatient management of veterans with infected foot ulcers was fragmented, with the general, orthopedic, and vascular surgery teams separately providing siloed care. Delays in treatment were common. There was much service- and practitioner-level practice heterogeneity. No diagnostic or treatment protocols were used, and standard treatment components were sporadically provided.

Patient Population

Compared to the matched non-VHA patient cohort (Supplemental Table 1), veterans treated at MEDVAMC for limb salvage are older. Nearly half (46%) identify as Black, which is associated with a 2-fold higher riskadjusted rate of leg amputations.⁴ MEDVAMC patients also have significantly higher rates of diabetes, chronic kidney disease, and systolic heart failure. About 22% travel > 40 miles for treatment at MEDVAMC, double that of the matched cohort (10.7%). Additionally, 35% currently smoke and 37% have moderate to severe peripheral artery disease (PAD).⁵

Program Design

In late 2011, the MEDVAMC vascular surgery team led limb salvage efforts by implementing a single team model, which involved assuming the primary role of managing foot ulcers for all veterans, both infected and uninfected (eAppendix, Supplemental Figure B). Consultations were directed to a dedicated limb salvage pager. The vascular team provided interdisciplinary limb salvage management across the spectrum of disease, including the surgical treatment of infection, assessment for PAD, open surgical operations and endovascular interventions to treat PAD, and foot reconstruction (debridement, minor or partial foot amputations, and skin grafting). This care was complemented by frequent consultation with the infectious disease, vascular medicine, podiatry, and geriatric wound care teams. This approach streamlined the delivery of consistent multidisciplinary care.

This collaborative effort aimed to develop ideal multidisciplinary care plans through research spanning the spectrum of the diabetic foot infection disease process (eAppendix, Supplemental Table 1). Some of the most impactful practices were: (1) a proclivity towards surgical treatment of foot infections, especially osteomyelitis⁵; (2) improved identification of PAD^6,7; (3) early surgical closure of foot wounds following revascularization^8,9; and (4) palliative wound care as an alternative to leg amputation in veterans who are not candidates for revascularization and limb salvage.¹⁰ Initally, the vascular surgery team held monthly multidisciplinary limb salvage meetings to coordinate patient management, identify ways to streamline care and avoid waste, discuss research findings, and review the 12-month rolling average of the MEDVAMC leg amputation incidence rate.

During the study period, the MEDVAMC vascular surgery team consisted of 2 to 5 board certified vascular or general surgeons, 2 or 3 nurse practitioners, and 3 vascular ultrasound technologists. Associated specialists included 2 podiatrists, 3 geriatricians with wound care certification, as well as additional infectious diseases, vascular medicine, orthopedics, and general surgery specialists.

Program Assessment

We noted a significant and sustained decrease in the MEDVAMC leg amputation rate after implementing multidisciplinary meetings and a single- team model from early 2012 through 2017 (Figure 2). The amputation incidence rate decreased steadily over the period from a maximum of 160 per 100,000 per year in February 2012 to a nadir of 66 per 100,000 per year in April 2017, an overall 60% decrease. Increases were noted in early 2018 after ceasing the single- team model, and in the summer of 2022, following periods of bed shortages after the onset of the COVID-19 pandemic. Tracking this metric allowed clinicians to make course corrections.

The decreased leg amputation rate at MEDVAMC does not seem to be mirroring national or regional trends. During this 10-year period, the VHA annualized amputation rate decreased minimally, from 58 to 54 per 100,000 (eAppendix Supplemental Figure C). Leg amputation incidence at non-VHA hospitals in Texas slightly increased over the same period.¹¹

Value was also reflected in other metrics. MEDVAMC improved safety through a bundled strategy that reduced the risk-adjusted rate of surgical wound infections by 95%.¹² MEDVAMC prioritized limb salvage when selecting patients for angiography and nearly eliminated using stent-grafts, cryopreserved allogeneic saphenous vein grafts, and expensive surgical and endovascular implants, which were identified as more expensive and less effective than other options (Figure 3).^13-15 The MEDVAMC team achieved a > 90% patient trust rating on the Veterans Signals survey in fiscal years 2021 and 2022.

Challenges

A significant increase in the patient-physician ratio occurred 5 years into the program. In 2016, 2 vascular surgeons left MEDVAMC and a planned renovation of 1 of the 2 vascular surgery-assigned hybrid working facilities began even as the number of MEDVAMC patients with diabetes grew 120% (from 89,400 to 107,746 between 2010 and 2016), and the incidence rate of foot ulcers grew 300% (from 392 in 2010 to 1183 in 2016 per 100,000). The net result was a higher clinical workload among the remaining vascular surgeons with less operating room availability.

To stabilize surgeon retention, MEDVAMC reverted from the single team model back to inpatient care being distributed among general surgery, orthopedic surgery, and vascular surgery. After noting an increase in the leg amputation incidence rate, we adjusted the focus from multidisciplinary to interdisciplinary care (ie, majority of limb salvage clinical care can be provided by practitioners of any involved specialties). We worked to establish a local, written, interdisciplinary consensus on evaluating and managing veterans with nonhealing foot ulcers to mitigate the loss of a consolidated inpatient approach. Despite frequent staff turnover, ≥ 1 physician or surgeon from the core specialties of vascular surgery, podiatry, and infectious diseases remained throughout the study period.

The COVID-19 pandemic caused a shortage of hospital beds. This was followed by more bed shortages due to decreased nursing staff. Our health care system also had a period of restricted outpatient encounters early in the pandemic. During this time, we noted a delayed presentation of veterans with advanced infections and another increase in leg amputation incidence rate.

Like many health systems, MEDVAMC pivoted to telephone- and video-based outpatient encounters. Our team also used publicly available Texas hospitalization data to identify zip codes with particularly high leg amputation incidence rates, and > 3500 educational mailings to veterans categorized as moderate and high risk for leg amputation in these zip codes. These mailings provided information on recognizing foot ulcers and infections, emphasized timely evaluation, and named the MEDVAMC vascular surgery team as a point-of-contact. More recently, we have seen a further decrease in the MEDVAMC incidences of leg amputation to its lowest rate in > 20 years.

Discussion

A learning organization that directs its research based on clinical observations and informs its clinical care with research findings can produce palpable improvements in outcomes. Understanding the disease process and trying to better understand management across the entire range of this disease process has allowed our team to make consistent and systematic changes in care (Table). Consolidating inpatient care in a single team model seems to have been effective in reducing amputation rates among veterans with diabetes. The role the MEDVAMC vascular surgery team served for limb salvage patients may have been particularly beneficial because of the large impact untreated or unidentified PAD can have and because of the high prevalence of PAD among the limb salvage population seen at MEDVAMC. To be sustainable, though, a single-team model needs resources. A multiteam model can also be effective if the degree of multidisciplinary involvement for any given veteran is appropriate to the individual's clinical needs, teams are engaged and willing to contribute in a defined role within their specialty, and lines of communication remain open.

The primary challenge at MEDVAMC has been, and will continue to be, the retention of physicians and surgeons. MEDVAMC has excellent leadership and a collegial working environment, but better access to operating rooms for elective and time-sensitive operations, additional clinical staff support, and higher salary at non-VA positions have been the basis for many of physicians— especially surgeons—leaving MEDVAMC. Despite high staff turnover and a constant flow of resident and fellow trainees, MEDVAMC has been able to keep the clinical approach relatively consistent due to the use of written protocols and continuity of care as ≥ 1 physician or surgeon from each of the 4 main teams remained engaged with limb salvage throughout the entire period.

Going forward, we will work to ensure that all requirements of the 2022 Prevention of Amputation in Veterans Everywhere directive are incorporated into care.⁸ We plan to standardize MEDVAMC management algorithms further, both to streamline care and reduce the opportunity for disparities in treatment. More prophylactic podiatric procedures, surgical forms of offloading, and a shared multidisciplinary clinic space may also further help patients.

Conclusions

The introduction of multidisciplinary limb salvage at MEDVAMC has led to significant and sustained reductions in leg amputation incidence. These reductions do not seem dependent upon a specific team structure for inpatient care. To improve patient outcomes, efforts should focus on making improvements across the entire disease spectrum. For limb salvage, this includes primary prevention of foot ulcers, the treatment of foot infections, identification and management of PAD, surgical reconstruction/optimal wound healing, and care for patients who undergo leg amputation.

Individuals with diabetes are at risk for developing foot ulcers or full-thickness defects in the epithelium of the foot. These defects can lead to bacterial invasion and foot infection, potentially resulting in leg amputation (Figure 1). Effective treatment to prevent leg amputation, known as limb salvage, requires management across multiple medical specialties including podiatry, vascular surgery, and infectious diseases. The multidisciplinary team approach to limb salvage was introduced in Boston in 1928 and has been the prevailing approach to this cross-specialty medical problem for at least a decade.^1,2

The Michael E. DeBakey Veterans Affairs Medical Center (MEDVAMC) has established an inpatient limb salvage program—a group of dedicated clinicians working collaboratively to provide evidence-guided management of patients hospitalized with foot ulcers, foot gangrene or any superimposed infection with the goal of avoiding leg amputations. We have seen a significant and durable reduction in the incidence of leg amputations among veterans at MEDVAMC.

This article describes the evolution and outcomes of the MEDVAMC limb salvage program over more than a decade. It includes changes to team structure and workflow, as well as past and present successes and challenges. The eAppendix provides a narrative summary with examples of how our clinical practice and research efforts have informed one another and how these findings are applied to clinical management. This process is part of the larger efforts of the Veterans Health Administration (VHA) to create a learning health system in which “internal data and experience are systematically integrated with external evidence, and that knowledge is put into practice.”³

Methods

Data from the VHA Support Service Center were used to obtain monthly major (leg) and minor (toe and partial foot) amputation records at MEDVAMC from October 2000 through May 2023. Yearly totals for the number of persons with diabetes and foot ulcers at MEDVAMC were also obtained from the support service center. Annual patient population sizes and number of persons with foot ulcers were converted to monthly estimates using cubic spline interpolation. Rates were calculated as 12-month rolling averages. Trend lines were created with locally weighted running line smoothing that used a span α of 0.1.

We characterized the patient population using data from cohorts of veterans treated for foot ulcers and foot infections at MEDVAMC. To compare the contemporary veteran population with nonveteran inpatients treated for foot ulcers and foot infections at other hospitals, we created a 2:1 nonveteran to veteran cohort matched by sex and zip code, using publicly available hospital admission data from the Texas Department of Health and State Health Services. Veterans used for this cohort comparison are consistent with the 100 consecutive patients who underwent angiography for limb salvage in 2022.

This research was approved by the Baylor College of Medicine Institutional Review Board (protocol H-34858) and the MEDVAMC Research Committee (IRBNet protocol 15A12. HB). All analyses used deidentified data in the R programming language version 4.2.2 using RStudio version 2022.06.0 Build 421.

Program Description

MEDVAMC is a 350-bed teaching hospital located in central Houston. Its hospital system includes 11 outpatient clinics, ranging from 28 to 126 miles (eAppendix, Supplemental Figure A) from MEDVAMC. MEDVAMC provides vascular, orthopedic, and podiatric surgery services, as well as many other highly specialized services such as liver and heart transplants. The hospital’s risk-adjusted rates of operative morbidity and mortality (observed-to-expected ratios) are significantly lower than expected.

Despite this, the incidence rate of leg amputations at MEDVAMC in early 2011 was nearly 3-times higher than the VHA average. The inpatient management of veterans with infected foot ulcers was fragmented, with the general, orthopedic, and vascular surgery teams separately providing siloed care. Delays in treatment were common. There was much service- and practitioner-level practice heterogeneity. No diagnostic or treatment protocols were used, and standard treatment components were sporadically provided.

Patient Population

Compared to the matched non-VHA patient cohort (Supplemental Table 1), veterans treated at MEDVAMC for limb salvage are older. Nearly half (46%) identify as Black, which is associated with a 2-fold higher riskadjusted rate of leg amputations.⁴ MEDVAMC patients also have significantly higher rates of diabetes, chronic kidney disease, and systolic heart failure. About 22% travel > 40 miles for treatment at MEDVAMC, double that of the matched cohort (10.7%). Additionally, 35% currently smoke and 37% have moderate to severe peripheral artery disease (PAD).⁵

Program Design

In late 2011, the MEDVAMC vascular surgery team led limb salvage efforts by implementing a single team model, which involved assuming the primary role of managing foot ulcers for all veterans, both infected and uninfected (eAppendix, Supplemental Figure B). Consultations were directed to a dedicated limb salvage pager. The vascular team provided interdisciplinary limb salvage management across the spectrum of disease, including the surgical treatment of infection, assessment for PAD, open surgical operations and endovascular interventions to treat PAD, and foot reconstruction (debridement, minor or partial foot amputations, and skin grafting). This care was complemented by frequent consultation with the infectious disease, vascular medicine, podiatry, and geriatric wound care teams. This approach streamlined the delivery of consistent multidisciplinary care.

This collaborative effort aimed to develop ideal multidisciplinary care plans through research spanning the spectrum of the diabetic foot infection disease process (eAppendix, Supplemental Table 1). Some of the most impactful practices were: (1) a proclivity towards surgical treatment of foot infections, especially osteomyelitis⁵; (2) improved identification of PAD^6,7; (3) early surgical closure of foot wounds following revascularization^8,9; and (4) palliative wound care as an alternative to leg amputation in veterans who are not candidates for revascularization and limb salvage.¹⁰ Initally, the vascular surgery team held monthly multidisciplinary limb salvage meetings to coordinate patient management, identify ways to streamline care and avoid waste, discuss research findings, and review the 12-month rolling average of the MEDVAMC leg amputation incidence rate.

During the study period, the MEDVAMC vascular surgery team consisted of 2 to 5 board certified vascular or general surgeons, 2 or 3 nurse practitioners, and 3 vascular ultrasound technologists. Associated specialists included 2 podiatrists, 3 geriatricians with wound care certification, as well as additional infectious diseases, vascular medicine, orthopedics, and general surgery specialists.

Program Assessment

We noted a significant and sustained decrease in the MEDVAMC leg amputation rate after implementing multidisciplinary meetings and a single- team model from early 2012 through 2017 (Figure 2). The amputation incidence rate decreased steadily over the period from a maximum of 160 per 100,000 per year in February 2012 to a nadir of 66 per 100,000 per year in April 2017, an overall 60% decrease. Increases were noted in early 2018 after ceasing the single- team model, and in the summer of 2022, following periods of bed shortages after the onset of the COVID-19 pandemic. Tracking this metric allowed clinicians to make course corrections.

The decreased leg amputation rate at MEDVAMC does not seem to be mirroring national or regional trends. During this 10-year period, the VHA annualized amputation rate decreased minimally, from 58 to 54 per 100,000 (eAppendix Supplemental Figure C). Leg amputation incidence at non-VHA hospitals in Texas slightly increased over the same period.¹¹

Value was also reflected in other metrics. MEDVAMC improved safety through a bundled strategy that reduced the risk-adjusted rate of surgical wound infections by 95%.¹² MEDVAMC prioritized limb salvage when selecting patients for angiography and nearly eliminated using stent-grafts, cryopreserved allogeneic saphenous vein grafts, and expensive surgical and endovascular implants, which were identified as more expensive and less effective than other options (Figure 3).^13-15 The MEDVAMC team achieved a > 90% patient trust rating on the Veterans Signals survey in fiscal years 2021 and 2022.

Challenges

A significant increase in the patient-physician ratio occurred 5 years into the program. In 2016, 2 vascular surgeons left MEDVAMC and a planned renovation of 1 of the 2 vascular surgery-assigned hybrid working facilities began even as the number of MEDVAMC patients with diabetes grew 120% (from 89,400 to 107,746 between 2010 and 2016), and the incidence rate of foot ulcers grew 300% (from 392 in 2010 to 1183 in 2016 per 100,000). The net result was a higher clinical workload among the remaining vascular surgeons with less operating room availability.

To stabilize surgeon retention, MEDVAMC reverted from the single team model back to inpatient care being distributed among general surgery, orthopedic surgery, and vascular surgery. After noting an increase in the leg amputation incidence rate, we adjusted the focus from multidisciplinary to interdisciplinary care (ie, majority of limb salvage clinical care can be provided by practitioners of any involved specialties). We worked to establish a local, written, interdisciplinary consensus on evaluating and managing veterans with nonhealing foot ulcers to mitigate the loss of a consolidated inpatient approach. Despite frequent staff turnover, ≥ 1 physician or surgeon from the core specialties of vascular surgery, podiatry, and infectious diseases remained throughout the study period.

The COVID-19 pandemic caused a shortage of hospital beds. This was followed by more bed shortages due to decreased nursing staff. Our health care system also had a period of restricted outpatient encounters early in the pandemic. During this time, we noted a delayed presentation of veterans with advanced infections and another increase in leg amputation incidence rate.

Like many health systems, MEDVAMC pivoted to telephone- and video-based outpatient encounters. Our team also used publicly available Texas hospitalization data to identify zip codes with particularly high leg amputation incidence rates, and > 3500 educational mailings to veterans categorized as moderate and high risk for leg amputation in these zip codes. These mailings provided information on recognizing foot ulcers and infections, emphasized timely evaluation, and named the MEDVAMC vascular surgery team as a point-of-contact. More recently, we have seen a further decrease in the MEDVAMC incidences of leg amputation to its lowest rate in > 20 years.

Discussion

A learning organization that directs its research based on clinical observations and informs its clinical care with research findings can produce palpable improvements in outcomes. Understanding the disease process and trying to better understand management across the entire range of this disease process has allowed our team to make consistent and systematic changes in care (Table). Consolidating inpatient care in a single team model seems to have been effective in reducing amputation rates among veterans with diabetes. The role the MEDVAMC vascular surgery team served for limb salvage patients may have been particularly beneficial because of the large impact untreated or unidentified PAD can have and because of the high prevalence of PAD among the limb salvage population seen at MEDVAMC. To be sustainable, though, a single-team model needs resources. A multiteam model can also be effective if the degree of multidisciplinary involvement for any given veteran is appropriate to the individual's clinical needs, teams are engaged and willing to contribute in a defined role within their specialty, and lines of communication remain open.

The primary challenge at MEDVAMC has been, and will continue to be, the retention of physicians and surgeons. MEDVAMC has excellent leadership and a collegial working environment, but better access to operating rooms for elective and time-sensitive operations, additional clinical staff support, and higher salary at non-VA positions have been the basis for many of physicians— especially surgeons—leaving MEDVAMC. Despite high staff turnover and a constant flow of resident and fellow trainees, MEDVAMC has been able to keep the clinical approach relatively consistent due to the use of written protocols and continuity of care as ≥ 1 physician or surgeon from each of the 4 main teams remained engaged with limb salvage throughout the entire period.

Going forward, we will work to ensure that all requirements of the 2022 Prevention of Amputation in Veterans Everywhere directive are incorporated into care.⁸ We plan to standardize MEDVAMC management algorithms further, both to streamline care and reduce the opportunity for disparities in treatment. More prophylactic podiatric procedures, surgical forms of offloading, and a shared multidisciplinary clinic space may also further help patients.

Conclusions

The introduction of multidisciplinary limb salvage at MEDVAMC has led to significant and sustained reductions in leg amputation incidence. These reductions do not seem dependent upon a specific team structure for inpatient care. To improve patient outcomes, efforts should focus on making improvements across the entire disease spectrum. For limb salvage, this includes primary prevention of foot ulcers, the treatment of foot infections, identification and management of PAD, surgical reconstruction/optimal wound healing, and care for patients who undergo leg amputation.

Individuals with diabetes are at risk for developing foot ulcers or full-thickness defects in the epithelium of the foot. These defects can lead to bacterial invasion and foot infection, potentially resulting in leg amputation (Figure 1). Effective treatment to prevent leg amputation, known as limb salvage, requires management across multiple medical specialties including podiatry, vascular surgery, and infectious diseases. The multidisciplinary team approach to limb salvage was introduced in Boston in 1928 and has been the prevailing approach to this cross-specialty medical problem for at least a decade.^1,2

The Michael E. DeBakey Veterans Affairs Medical Center (MEDVAMC) has established an inpatient limb salvage program—a group of dedicated clinicians working collaboratively to provide evidence-guided management of patients hospitalized with foot ulcers, foot gangrene or any superimposed infection with the goal of avoiding leg amputations. We have seen a significant and durable reduction in the incidence of leg amputations among veterans at MEDVAMC.

This article describes the evolution and outcomes of the MEDVAMC limb salvage program over more than a decade. It includes changes to team structure and workflow, as well as past and present successes and challenges. The eAppendix provides a narrative summary with examples of how our clinical practice and research efforts have informed one another and how these findings are applied to clinical management. This process is part of the larger efforts of the Veterans Health Administration (VHA) to create a learning health system in which “internal data and experience are systematically integrated with external evidence, and that knowledge is put into practice.”³

Methods

Data from the VHA Support Service Center were used to obtain monthly major (leg) and minor (toe and partial foot) amputation records at MEDVAMC from October 2000 through May 2023. Yearly totals for the number of persons with diabetes and foot ulcers at MEDVAMC were also obtained from the support service center. Annual patient population sizes and number of persons with foot ulcers were converted to monthly estimates using cubic spline interpolation. Rates were calculated as 12-month rolling averages. Trend lines were created with locally weighted running line smoothing that used a span α of 0.1.

We characterized the patient population using data from cohorts of veterans treated for foot ulcers and foot infections at MEDVAMC. To compare the contemporary veteran population with nonveteran inpatients treated for foot ulcers and foot infections at other hospitals, we created a 2:1 nonveteran to veteran cohort matched by sex and zip code, using publicly available hospital admission data from the Texas Department of Health and State Health Services. Veterans used for this cohort comparison are consistent with the 100 consecutive patients who underwent angiography for limb salvage in 2022.

This research was approved by the Baylor College of Medicine Institutional Review Board (protocol H-34858) and the MEDVAMC Research Committee (IRBNet protocol 15A12. HB). All analyses used deidentified data in the R programming language version 4.2.2 using RStudio version 2022.06.0 Build 421.

Program Description

MEDVAMC is a 350-bed teaching hospital located in central Houston. Its hospital system includes 11 outpatient clinics, ranging from 28 to 126 miles (eAppendix, Supplemental Figure A) from MEDVAMC. MEDVAMC provides vascular, orthopedic, and podiatric surgery services, as well as many other highly specialized services such as liver and heart transplants. The hospital’s risk-adjusted rates of operative morbidity and mortality (observed-to-expected ratios) are significantly lower than expected.

Despite this, the incidence rate of leg amputations at MEDVAMC in early 2011 was nearly 3-times higher than the VHA average. The inpatient management of veterans with infected foot ulcers was fragmented, with the general, orthopedic, and vascular surgery teams separately providing siloed care. Delays in treatment were common. There was much service- and practitioner-level practice heterogeneity. No diagnostic or treatment protocols were used, and standard treatment components were sporadically provided.

Patient Population

Compared to the matched non-VHA patient cohort (Supplemental Table 1), veterans treated at MEDVAMC for limb salvage are older. Nearly half (46%) identify as Black, which is associated with a 2-fold higher riskadjusted rate of leg amputations.⁴ MEDVAMC patients also have significantly higher rates of diabetes, chronic kidney disease, and systolic heart failure. About 22% travel > 40 miles for treatment at MEDVAMC, double that of the matched cohort (10.7%). Additionally, 35% currently smoke and 37% have moderate to severe peripheral artery disease (PAD).⁵

Program Design

In late 2011, the MEDVAMC vascular surgery team led limb salvage efforts by implementing a single team model, which involved assuming the primary role of managing foot ulcers for all veterans, both infected and uninfected (eAppendix, Supplemental Figure B). Consultations were directed to a dedicated limb salvage pager. The vascular team provided interdisciplinary limb salvage management across the spectrum of disease, including the surgical treatment of infection, assessment for PAD, open surgical operations and endovascular interventions to treat PAD, and foot reconstruction (debridement, minor or partial foot amputations, and skin grafting). This care was complemented by frequent consultation with the infectious disease, vascular medicine, podiatry, and geriatric wound care teams. This approach streamlined the delivery of consistent multidisciplinary care.

This collaborative effort aimed to develop ideal multidisciplinary care plans through research spanning the spectrum of the diabetic foot infection disease process (eAppendix, Supplemental Table 1). Some of the most impactful practices were: (1) a proclivity towards surgical treatment of foot infections, especially osteomyelitis⁵; (2) improved identification of PAD^6,7; (3) early surgical closure of foot wounds following revascularization^8,9; and (4) palliative wound care as an alternative to leg amputation in veterans who are not candidates for revascularization and limb salvage.¹⁰ Initally, the vascular surgery team held monthly multidisciplinary limb salvage meetings to coordinate patient management, identify ways to streamline care and avoid waste, discuss research findings, and review the 12-month rolling average of the MEDVAMC leg amputation incidence rate.

During the study period, the MEDVAMC vascular surgery team consisted of 2 to 5 board certified vascular or general surgeons, 2 or 3 nurse practitioners, and 3 vascular ultrasound technologists. Associated specialists included 2 podiatrists, 3 geriatricians with wound care certification, as well as additional infectious diseases, vascular medicine, orthopedics, and general surgery specialists.

Program Assessment

We noted a significant and sustained decrease in the MEDVAMC leg amputation rate after implementing multidisciplinary meetings and a single- team model from early 2012 through 2017 (Figure 2). The amputation incidence rate decreased steadily over the period from a maximum of 160 per 100,000 per year in February 2012 to a nadir of 66 per 100,000 per year in April 2017, an overall 60% decrease. Increases were noted in early 2018 after ceasing the single- team model, and in the summer of 2022, following periods of bed shortages after the onset of the COVID-19 pandemic. Tracking this metric allowed clinicians to make course corrections.

The decreased leg amputation rate at MEDVAMC does not seem to be mirroring national or regional trends. During this 10-year period, the VHA annualized amputation rate decreased minimally, from 58 to 54 per 100,000 (eAppendix Supplemental Figure C). Leg amputation incidence at non-VHA hospitals in Texas slightly increased over the same period.¹¹

Value was also reflected in other metrics. MEDVAMC improved safety through a bundled strategy that reduced the risk-adjusted rate of surgical wound infections by 95%.¹² MEDVAMC prioritized limb salvage when selecting patients for angiography and nearly eliminated using stent-grafts, cryopreserved allogeneic saphenous vein grafts, and expensive surgical and endovascular implants, which were identified as more expensive and less effective than other options (Figure 3).^13-15 The MEDVAMC team achieved a > 90% patient trust rating on the Veterans Signals survey in fiscal years 2021 and 2022.

Challenges

A significant increase in the patient-physician ratio occurred 5 years into the program. In 2016, 2 vascular surgeons left MEDVAMC and a planned renovation of 1 of the 2 vascular surgery-assigned hybrid working facilities began even as the number of MEDVAMC patients with diabetes grew 120% (from 89,400 to 107,746 between 2010 and 2016), and the incidence rate of foot ulcers grew 300% (from 392 in 2010 to 1183 in 2016 per 100,000). The net result was a higher clinical workload among the remaining vascular surgeons with less operating room availability.

To stabilize surgeon retention, MEDVAMC reverted from the single team model back to inpatient care being distributed among general surgery, orthopedic surgery, and vascular surgery. After noting an increase in the leg amputation incidence rate, we adjusted the focus from multidisciplinary to interdisciplinary care (ie, majority of limb salvage clinical care can be provided by practitioners of any involved specialties). We worked to establish a local, written, interdisciplinary consensus on evaluating and managing veterans with nonhealing foot ulcers to mitigate the loss of a consolidated inpatient approach. Despite frequent staff turnover, ≥ 1 physician or surgeon from the core specialties of vascular surgery, podiatry, and infectious diseases remained throughout the study period.

The COVID-19 pandemic caused a shortage of hospital beds. This was followed by more bed shortages due to decreased nursing staff. Our health care system also had a period of restricted outpatient encounters early in the pandemic. During this time, we noted a delayed presentation of veterans with advanced infections and another increase in leg amputation incidence rate.

Like many health systems, MEDVAMC pivoted to telephone- and video-based outpatient encounters. Our team also used publicly available Texas hospitalization data to identify zip codes with particularly high leg amputation incidence rates, and > 3500 educational mailings to veterans categorized as moderate and high risk for leg amputation in these zip codes. These mailings provided information on recognizing foot ulcers and infections, emphasized timely evaluation, and named the MEDVAMC vascular surgery team as a point-of-contact. More recently, we have seen a further decrease in the MEDVAMC incidences of leg amputation to its lowest rate in > 20 years.

Discussion

A learning organization that directs its research based on clinical observations and informs its clinical care with research findings can produce palpable improvements in outcomes. Understanding the disease process and trying to better understand management across the entire range of this disease process has allowed our team to make consistent and systematic changes in care (Table). Consolidating inpatient care in a single team model seems to have been effective in reducing amputation rates among veterans with diabetes. The role the MEDVAMC vascular surgery team served for limb salvage patients may have been particularly beneficial because of the large impact untreated or unidentified PAD can have and because of the high prevalence of PAD among the limb salvage population seen at MEDVAMC. To be sustainable, though, a single-team model needs resources. A multiteam model can also be effective if the degree of multidisciplinary involvement for any given veteran is appropriate to the individual's clinical needs, teams are engaged and willing to contribute in a defined role within their specialty, and lines of communication remain open.

The primary challenge at MEDVAMC has been, and will continue to be, the retention of physicians and surgeons. MEDVAMC has excellent leadership and a collegial working environment, but better access to operating rooms for elective and time-sensitive operations, additional clinical staff support, and higher salary at non-VA positions have been the basis for many of physicians— especially surgeons—leaving MEDVAMC. Despite high staff turnover and a constant flow of resident and fellow trainees, MEDVAMC has been able to keep the clinical approach relatively consistent due to the use of written protocols and continuity of care as ≥ 1 physician or surgeon from each of the 4 main teams remained engaged with limb salvage throughout the entire period.

Going forward, we will work to ensure that all requirements of the 2022 Prevention of Amputation in Veterans Everywhere directive are incorporated into care.⁸ We plan to standardize MEDVAMC management algorithms further, both to streamline care and reduce the opportunity for disparities in treatment. More prophylactic podiatric procedures, surgical forms of offloading, and a shared multidisciplinary clinic space may also further help patients.

Conclusions

The introduction of multidisciplinary limb salvage at MEDVAMC has led to significant and sustained reductions in leg amputation incidence. These reductions do not seem dependent upon a specific team structure for inpatient care. To improve patient outcomes, efforts should focus on making improvements across the entire disease spectrum. For limb salvage, this includes primary prevention of foot ulcers, the treatment of foot infections, identification and management of PAD, surgical reconstruction/optimal wound healing, and care for patients who undergo leg amputation.

Psoriasis is a chronic multisystemic inflammatory skin disease with a worldwide prevalence of 2% to 3%.¹ Psoriasis can be accompanied by other conditions such as psoriatic arthritis, obesity, metabolic syndrome, diabetes mellitus, hypertension, dyslipidemia, atherosclerotic disease, inflammatory bowel disease, and anxiety/depression. It is important to manage comorbidities of psoriasis in addition to treating the cutaneous manifestations of the disease.¹

Obesity is a major public health concern worldwide. Numerous observational and epidemiologic studies have reported a high prevalence of obesity among patients with psoriasis.² Current evidence indicates that obesity may initiate or worsen psoriasis; furthermore, it is important to note that obesity may negatively impact the effectiveness of psoriasis-specific treatments or increase the incidence of adverse effects. Therefore, managing obesity is crucial in the treatment of psoriasis.³ Numerous studies have investigated the association between psoriasis and obesity, and they commonly conclude that both conditions share the same genetic metabolic pathways.^2-4 However, it is important to consider environmental factors such as dietary habits, smoking, alcohol consumption, and a sedentary lifestyle—all of which are associated with psoriasis and also can contribute to the development of obesity.⁵ Because of the effects of obesity in psoriasis patients, factors that impact the development of obesity have become a popular research topic.

Eating disorders (EDs) are a crucial risk factor for both developing and maintaining obesity. In particular, two EDs that are associated with obesity include binge eating disorder and bulimia nervosa.⁶ According to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition,⁷ binge eating disorder can be diagnosed when a patient has at least 1 episode of binge eating per week over a 3-month period. Bulimia nervosa can be diagnosed when a patient is excessively concerned with their body weight and shape and engages in behaviors to prevent weight gain (eg, forced vomiting, excessive use of laxatives).⁷ Psychiatrists who specialize in EDs make diagnoses based on these criteria. In daily practice, there are several quick and simple questionnaires available to screen for EDs that can be used by nonpsychiatrist physicians, including the commonly used 26-item Eating Attitudes Test (EAT-26).⁸ The EAT-26 has been used to screen for EDs in patients with inflammatory disorders.⁹

The aim of this study was to screen for EDs in patients with psoriasis to identify potential risk factors for development of obesity.

Materials and Methods

This study included patients with psoriasis who were screened for EDs at a tertiary dermatology clinic in Turkey between January 2021 and December 2023. This study was approved by the local ethics committee and was in accordance with the Declaration of Helsinki (decision number E-93471371-514.99-225000079).

Study Design and Patient Inclusion Criteria—This quantitative cross-sectional study utilized EAT-26, Dermatology Life Quality Index (DLQI), Attitude Scale for Healthy Nutrition (ASHN), and Depression Anxiety Stress Scale-21 (DASS-21) scores. All the questionnaire scales used in the study were adapted and validated in Turkey.^8,10-12 The inclusion criteria consisted of being older than 18 years of age, being literate, having psoriasis for at least 1 year that was not treated topically or systemically, and having no psychiatric diseases outside an ED. The questionnaires were presented in written format following the clinical examination. Literacy was an inclusion criterion in this study due to the absence of auxiliary health personnel.

Study Variables—The study variables included age, sex, marital status (single/divorced or married), education status (primary/secondary school or high school/university), employment status (employed or unemployed/retired), body mass index (BMI), smoking status, alcohol-consumption status, Psoriasis Area Severity Index score, presence of nail psoriasis and psoriatic arthritis, duration of psoriasis, family history of psoriasis, EAT-26 score, ASHN score, DLQI score, and DASS-21 score. Body mass index was calculated by taking a participant’s weight in kilograms and dividing it by their height in meters squared. The BMI values were classified into 3 categories: normal (18.5–24.9 kg/m²), overweight (25.0–29.9 kg/m²), and obese (≥30 kg/m²).¹³

Questionnaires—The EAT-26 questionnaire includes 26 questions that are used to detect EDs. Responses to each question include Likert-type answer options (ie, “always,” “usually,” “often,” “sometimes,” “rarely,” and “never.”) Patients with scores of 20 points or higher (range, 0–78) are classified as high risk for EDs.⁸ In our study, EAT-26 scores were grouped into 2 categories: patients scoring less than 20 points and those scoring 20 points or higher.

The DLQI questionnaire includes 10 questions to measure dermatologic symptoms and qualiy of life. Responses to each question include Likert-type answer options (ie, “not at all,” “a little,” “a lot,” or “very much.”) On the DLQI scale, the higher the score, the lower the quality of life (score range, 0–30).¹⁰

The ASHN questionnaire includes 21 questions that measure attitudes toward healthy nutrition with 5 possible answer options (“strongly disagree,” “disagree,” “undecided,” “agree,” and “strongly agree”). On this scale, higher scores indicate the participant is more knowledgeable about healthy nutrition (score range, 0–78).¹¹

The DASS-21 questionnaire includes 21 questions that measure the severity of a range of symptoms common to depression, anxiety, and stress. Responses include Likert-type answer options (eg, “never,” “sometimes,” “often,” and “almost always.”) On this scale, a higher score (range of 0–21 for each) indicates higher levels of depression, anxiety, and stress.¹²

Statistical Analysis—Descriptive statistics were analyzed using SPSS software version 22.0 (IBM). The Shapiro-Wilk test was applied to determine whether the data were normally distributed. For categorical variables, frequency differences among groups were compared using the Pearson χ² test. A t test was used to compare the means of 2 independent groups with a normal distribution. One-way analysis of variance and Tukey Honest Significant Difference post hoc analysis were used to test whether there was a statistically significant difference among the normally distributed means of independent groups. Pearson correlation analysis was used to determine whether there was a linear relationship between 2 numeric measurements and, if so, to determine the direction and severity of this relationship. P<.05 indicated statistical significance in this study.

Results

Study Participant Demographics—This study included 82 participants with a mean age of 44.3 years; 52.4% (43/82) were female, and 85.4% (70/82) were married. The questionnaire took an average of 4.2 minutes for participants to complete. A total of 57.3% (47/82) of patients had completed primary/secondary education and 59.8% (49/82) were employed. The mean BMI was 28.1 kg/m². According to the BMI classification, 26.8% (22/82) participants had a normal weight, 36.6% (30/82) were overweight, and 43.9% (36/82) were obese. A total of 48.8% (40/82) of participants smoked, and 4.9% (4/82) consumed alcohol. The mean Psoriasis Area and Severity Index score was 5.4. A total of 54.9% (45/82) of participants had nail psoriasis, and 24.4% (20/82) had psoriatic arthritis. The mean duration of psoriasis was 153 months. A total of 29.3% (24/82) of participants had a positive family history of psoriasis. The mean EAT-26 score was 11.1. A total of 12.2% (10/82) of participants had an EAT-26 score of 20 points or higher and were considered at high risk for an ED. The mean ASHN score was 72.9; the mean DLQI score was 5.5; and on the DASS-21 scale, mean scores for depression, anxiety, and stress were 6.3, 8.7, and 10.0, respectively (Table).

Comparative Evaluation of the BMI Groups—The only statistically significant differences among the 3 BMI groups were related to marital status, EAT-26 score, and anxiety and stress scores (P=.02, <.01, <.01, and <.01, respectively)(eTable 1). The number of single/divorced participants in the overweight group was significantly (P=.02) greater than in the normal weight group. The mean EAT-26 score for the normal weight group was significantly (P<.01) lower than for the overweight and obese groups; there was no significant difference in mean EAT-26 scores between the overweight and obese groups. The mean anxiety score was significantly (P<.01) lower in the normal weight group compared with the overweight and obese groups. There was no significant difference between the overweight and obese groups according to the mean depression score. The mean stress and anxiety scores were significantly (P<.01) lower in the normal weight group than in the overweight and obese groups. There was no significant difference between the overweight and obese groups according to the mean anxiety score.

Comment

Eating disorders are psychiatric conditions that require a multidisciplinary approach. Nonpsychiatric medical departments may be involved due to the severe consequences (eg, various skin changes¹⁴) of these disorders. Psoriasis is not known to be directly affected by the presence of an ED; however, it is possible that EDs could indirectly affect patients with psoriasis by influencing obesity. Therefore, this study aimed to examine the relationship between ED risk factors and obesity in this population.

The relationship between psoriasis and obesity has been a popular research topic in dermatology since the 1990s.¹⁵ Epidemiologic and observational studies have reported that patients with psoriasis are more likely to be overweight or have obesity, which is an independent risk factor for psoriasis.^3,16 However, the causal relationship between psoriasis and obesity remains unclear. In a comprehensive review, Barros et al¹⁷ emphasized the causal relationship between obesity and psoriasis under several headings. Firstly, a higher BMI increases the risk for psoriasis by promoting cytokine release and immune system dysregulation. Secondly, a Western diet (eg, processed foods and fast food) triggers obesity and psoriasis by increasing adipose tissue. Thirdly, the alteration of the skin and gut microbiota triggers chronic inflammation as a result of bacterial translocation in patients with obesity. Fourthly, a high-fat diet and palmitic acid disrupt the intestinal integrity of the gut and increase the risk for psoriasis and obesity by triggering chronic inflammation of bacterial fragments that pass into the blood. Finally, the decrease in the amount of adiponectin and the increase in the amount of leptin in patients with obesity may cause psoriasis by increasing proinflammatory cytokines, which are similar to those involved in the pathogenesis of psoriasis.¹⁷ Additionally, psoriatic inflammation can cause insulin resistance and metabolic dysfunction, leading to obesity.¹⁸ The relationship between psoriasis and obesity cannot be solely explained by metabolic pathways. Smoking, alcohol consumption, and a sedentary lifestyle all are associated with psoriasis and also can contribute to obesity.⁵ Our study revealed no significant difference in smoking or alcohol consumption between the normal weight and overweight/obesity groups. Based on our data, we determined that smoking and alcohol consumption did not affect obesity in our patients with psoriasis.

Observational and epidemiologic studies have shown that patients with psoriasis experience increased rates of depression, anxiety, and stress.¹⁹ In studies of pathogenesis, a connection between depression and psoriatic inflammation has been established.²⁰ It is known that inflammatory cytokines similar to those in psoriasis are involved in the development of obesity.¹⁸ In addition, depression and anxiety can lead to binge eating, unhealthy food choices, and a more sedentary lifestyle.⁵ All of these variables may contribute to the associations between depression and anxiety with psoriasis and obesity. Zafiriou et al²¹ conducted a study to investigate the relationship between psoriasis, obesity, and depression through inflammatory pathways with a focus on the importance of IL-17. Data showing that IL-17–producing Th17-cell subgroups play a considerable role in the development of obesity and depression prompted the authors to suggest that psoriasis, obesity, and ­anxiety/depression may be interconnected manifestations of immune dysregulation, potentially linked to IL-17 and its associated cells.²¹ Mrowietz et al²² also suggested that metabolic inflammation may contribute to obesity and depression in patients with psoriasis and highlighted the importance of several cytokines, including tumor necrosis factor α, IL-6, IL-8, IL-17, and IL-23. Our study revealed no significant differences in depression scores between BMI groups. Another meta-analysis reported conflicting findings on the incidence of depression in obese patients with psoriasis.²³ Some of the studies had a small number of participants. Compared to depression, anxiety has received less attention in studies of patients with obesity with psoriasis. However, these studies have shown a positive correlation between anxiety scores and BMI in patients with psoriasis.^24,25 In our study, similar to the findings of previous studies, overweight patients and those with obesitywho have psoriasis had significantly (P<.01) greater anxiety and stress scores than did normal weight patients with psoriasis.

Obesity should be assessed in patients with psoriasis via a biopsychosocial approach that takes into account genetic, behavioral, and environmental factors.²⁶ Eating disorders are considered to be one of the factors contributing to obesity. Numerous studies in the literature have demonstrated a greater incidence of EDs in patients with obesity vs those without obesity.^5,6,27 Obesity and EDs have a bidirectional relationship: individuals with obesity are at risk for EDs due to body dissatisfaction, dieting habits, and depressive states. Conversely, poor eating behaviors in individuals with a normal weight can lead to obesity.²⁸

There are few studies in the literature exploring the relationship between psoriasis and EDs. Crosta et al²⁹ demonstrated that patients with psoriasis had impaired results on ED screening tests and that these scores deteriorated further as BMI increased. Moreover, Altunay et al³⁰ demonstrated that patients with psoriasis and metabolic syndrome had higher scores on the ED screening test. In this study, patients with higher scores also exhibited high levels of anxiety.³⁰ In our study, similar to the findings of previous studies, patients with psoriasis who were overweight or had obesity had significantly (P<.01) greater EAT-26 scores than those in the normal weight group. Patients with high EAT-26 scores also exhibited elevated levels of depression, anxiety, and stress. Additionally, EAT-26 scores were positively correlated with BMI, anxiety, depression, and stress scores. Our study as well as other studies in the literature indicate that additional research is needed to determine the associations between EDs and obesity in psoriasis.

Conclusion

Managing obesity is crucial for patients with psoriasis. This study showed that EAT-26 scores were higher in patients with psoriasis who were overweight or had obesity than in those who were normal weight. Participants with high EAT-26 scores (≥20 points) were more likely to be female and have higher anxiety and stress scores. In addition, EAT-26 scores were positively correlated with BMI as well as depression, anxiety, and stress scores. Eating disorders may contribute to the development of obesity in patients with psoriasis. Although our study was limited by a small sample size, the results suggest that there is a need for large-scale multicenter studies to investigate the relationship between psoriasis and EDs.

Psoriasis is a chronic multisystemic inflammatory skin disease with a worldwide prevalence of 2% to 3%.¹ Psoriasis can be accompanied by other conditions such as psoriatic arthritis, obesity, metabolic syndrome, diabetes mellitus, hypertension, dyslipidemia, atherosclerotic disease, inflammatory bowel disease, and anxiety/depression. It is important to manage comorbidities of psoriasis in addition to treating the cutaneous manifestations of the disease.¹

Obesity is a major public health concern worldwide. Numerous observational and epidemiologic studies have reported a high prevalence of obesity among patients with psoriasis.² Current evidence indicates that obesity may initiate or worsen psoriasis; furthermore, it is important to note that obesity may negatively impact the effectiveness of psoriasis-specific treatments or increase the incidence of adverse effects. Therefore, managing obesity is crucial in the treatment of psoriasis.³ Numerous studies have investigated the association between psoriasis and obesity, and they commonly conclude that both conditions share the same genetic metabolic pathways.^2-4 However, it is important to consider environmental factors such as dietary habits, smoking, alcohol consumption, and a sedentary lifestyle—all of which are associated with psoriasis and also can contribute to the development of obesity.⁵ Because of the effects of obesity in psoriasis patients, factors that impact the development of obesity have become a popular research topic.

Eating disorders (EDs) are a crucial risk factor for both developing and maintaining obesity. In particular, two EDs that are associated with obesity include binge eating disorder and bulimia nervosa.⁶ According to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition,⁷ binge eating disorder can be diagnosed when a patient has at least 1 episode of binge eating per week over a 3-month period. Bulimia nervosa can be diagnosed when a patient is excessively concerned with their body weight and shape and engages in behaviors to prevent weight gain (eg, forced vomiting, excessive use of laxatives).⁷ Psychiatrists who specialize in EDs make diagnoses based on these criteria. In daily practice, there are several quick and simple questionnaires available to screen for EDs that can be used by nonpsychiatrist physicians, including the commonly used 26-item Eating Attitudes Test (EAT-26).⁸ The EAT-26 has been used to screen for EDs in patients with inflammatory disorders.⁹

The aim of this study was to screen for EDs in patients with psoriasis to identify potential risk factors for development of obesity.

Materials and Methods

This study included patients with psoriasis who were screened for EDs at a tertiary dermatology clinic in Turkey between January 2021 and December 2023. This study was approved by the local ethics committee and was in accordance with the Declaration of Helsinki (decision number E-93471371-514.99-225000079).

Study Design and Patient Inclusion Criteria—This quantitative cross-sectional study utilized EAT-26, Dermatology Life Quality Index (DLQI), Attitude Scale for Healthy Nutrition (ASHN), and Depression Anxiety Stress Scale-21 (DASS-21) scores. All the questionnaire scales used in the study were adapted and validated in Turkey.^8,10-12 The inclusion criteria consisted of being older than 18 years of age, being literate, having psoriasis for at least 1 year that was not treated topically or systemically, and having no psychiatric diseases outside an ED. The questionnaires were presented in written format following the clinical examination. Literacy was an inclusion criterion in this study due to the absence of auxiliary health personnel.

Study Variables—The study variables included age, sex, marital status (single/divorced or married), education status (primary/secondary school or high school/university), employment status (employed or unemployed/retired), body mass index (BMI), smoking status, alcohol-consumption status, Psoriasis Area Severity Index score, presence of nail psoriasis and psoriatic arthritis, duration of psoriasis, family history of psoriasis, EAT-26 score, ASHN score, DLQI score, and DASS-21 score. Body mass index was calculated by taking a participant’s weight in kilograms and dividing it by their height in meters squared. The BMI values were classified into 3 categories: normal (18.5–24.9 kg/m²), overweight (25.0–29.9 kg/m²), and obese (≥30 kg/m²).¹³

Questionnaires—The EAT-26 questionnaire includes 26 questions that are used to detect EDs. Responses to each question include Likert-type answer options (ie, “always,” “usually,” “often,” “sometimes,” “rarely,” and “never.”) Patients with scores of 20 points or higher (range, 0–78) are classified as high risk for EDs.⁸ In our study, EAT-26 scores were grouped into 2 categories: patients scoring less than 20 points and those scoring 20 points or higher.

The DLQI questionnaire includes 10 questions to measure dermatologic symptoms and qualiy of life. Responses to each question include Likert-type answer options (ie, “not at all,” “a little,” “a lot,” or “very much.”) On the DLQI scale, the higher the score, the lower the quality of life (score range, 0–30).¹⁰

The ASHN questionnaire includes 21 questions that measure attitudes toward healthy nutrition with 5 possible answer options (“strongly disagree,” “disagree,” “undecided,” “agree,” and “strongly agree”). On this scale, higher scores indicate the participant is more knowledgeable about healthy nutrition (score range, 0–78).¹¹

The DASS-21 questionnaire includes 21 questions that measure the severity of a range of symptoms common to depression, anxiety, and stress. Responses include Likert-type answer options (eg, “never,” “sometimes,” “often,” and “almost always.”) On this scale, a higher score (range of 0–21 for each) indicates higher levels of depression, anxiety, and stress.¹²

Statistical Analysis—Descriptive statistics were analyzed using SPSS software version 22.0 (IBM). The Shapiro-Wilk test was applied to determine whether the data were normally distributed. For categorical variables, frequency differences among groups were compared using the Pearson χ² test. A t test was used to compare the means of 2 independent groups with a normal distribution. One-way analysis of variance and Tukey Honest Significant Difference post hoc analysis were used to test whether there was a statistically significant difference among the normally distributed means of independent groups. Pearson correlation analysis was used to determine whether there was a linear relationship between 2 numeric measurements and, if so, to determine the direction and severity of this relationship. P<.05 indicated statistical significance in this study.

Results

Study Participant Demographics—This study included 82 participants with a mean age of 44.3 years; 52.4% (43/82) were female, and 85.4% (70/82) were married. The questionnaire took an average of 4.2 minutes for participants to complete. A total of 57.3% (47/82) of patients had completed primary/secondary education and 59.8% (49/82) were employed. The mean BMI was 28.1 kg/m². According to the BMI classification, 26.8% (22/82) participants had a normal weight, 36.6% (30/82) were overweight, and 43.9% (36/82) were obese. A total of 48.8% (40/82) of participants smoked, and 4.9% (4/82) consumed alcohol. The mean Psoriasis Area and Severity Index score was 5.4. A total of 54.9% (45/82) of participants had nail psoriasis, and 24.4% (20/82) had psoriatic arthritis. The mean duration of psoriasis was 153 months. A total of 29.3% (24/82) of participants had a positive family history of psoriasis. The mean EAT-26 score was 11.1. A total of 12.2% (10/82) of participants had an EAT-26 score of 20 points or higher and were considered at high risk for an ED. The mean ASHN score was 72.9; the mean DLQI score was 5.5; and on the DASS-21 scale, mean scores for depression, anxiety, and stress were 6.3, 8.7, and 10.0, respectively (Table).

Comparative Evaluation of the BMI Groups—The only statistically significant differences among the 3 BMI groups were related to marital status, EAT-26 score, and anxiety and stress scores (P=.02, <.01, <.01, and <.01, respectively)(eTable 1). The number of single/divorced participants in the overweight group was significantly (P=.02) greater than in the normal weight group. The mean EAT-26 score for the normal weight group was significantly (P<.01) lower than for the overweight and obese groups; there was no significant difference in mean EAT-26 scores between the overweight and obese groups. The mean anxiety score was significantly (P<.01) lower in the normal weight group compared with the overweight and obese groups. There was no significant difference between the overweight and obese groups according to the mean depression score. The mean stress and anxiety scores were significantly (P<.01) lower in the normal weight group than in the overweight and obese groups. There was no significant difference between the overweight and obese groups according to the mean anxiety score.

Comment

Eating disorders are psychiatric conditions that require a multidisciplinary approach. Nonpsychiatric medical departments may be involved due to the severe consequences (eg, various skin changes¹⁴) of these disorders. Psoriasis is not known to be directly affected by the presence of an ED; however, it is possible that EDs could indirectly affect patients with psoriasis by influencing obesity. Therefore, this study aimed to examine the relationship between ED risk factors and obesity in this population.

The relationship between psoriasis and obesity has been a popular research topic in dermatology since the 1990s.¹⁵ Epidemiologic and observational studies have reported that patients with psoriasis are more likely to be overweight or have obesity, which is an independent risk factor for psoriasis.^3,16 However, the causal relationship between psoriasis and obesity remains unclear. In a comprehensive review, Barros et al¹⁷ emphasized the causal relationship between obesity and psoriasis under several headings. Firstly, a higher BMI increases the risk for psoriasis by promoting cytokine release and immune system dysregulation. Secondly, a Western diet (eg, processed foods and fast food) triggers obesity and psoriasis by increasing adipose tissue. Thirdly, the alteration of the skin and gut microbiota triggers chronic inflammation as a result of bacterial translocation in patients with obesity. Fourthly, a high-fat diet and palmitic acid disrupt the intestinal integrity of the gut and increase the risk for psoriasis and obesity by triggering chronic inflammation of bacterial fragments that pass into the blood. Finally, the decrease in the amount of adiponectin and the increase in the amount of leptin in patients with obesity may cause psoriasis by increasing proinflammatory cytokines, which are similar to those involved in the pathogenesis of psoriasis.¹⁷ Additionally, psoriatic inflammation can cause insulin resistance and metabolic dysfunction, leading to obesity.¹⁸ The relationship between psoriasis and obesity cannot be solely explained by metabolic pathways. Smoking, alcohol consumption, and a sedentary lifestyle all are associated with psoriasis and also can contribute to obesity.⁵ Our study revealed no significant difference in smoking or alcohol consumption between the normal weight and overweight/obesity groups. Based on our data, we determined that smoking and alcohol consumption did not affect obesity in our patients with psoriasis.

Observational and epidemiologic studies have shown that patients with psoriasis experience increased rates of depression, anxiety, and stress.¹⁹ In studies of pathogenesis, a connection between depression and psoriatic inflammation has been established.²⁰ It is known that inflammatory cytokines similar to those in psoriasis are involved in the development of obesity.¹⁸ In addition, depression and anxiety can lead to binge eating, unhealthy food choices, and a more sedentary lifestyle.⁵ All of these variables may contribute to the associations between depression and anxiety with psoriasis and obesity. Zafiriou et al²¹ conducted a study to investigate the relationship between psoriasis, obesity, and depression through inflammatory pathways with a focus on the importance of IL-17. Data showing that IL-17–producing Th17-cell subgroups play a considerable role in the development of obesity and depression prompted the authors to suggest that psoriasis, obesity, and ­anxiety/depression may be interconnected manifestations of immune dysregulation, potentially linked to IL-17 and its associated cells.²¹ Mrowietz et al²² also suggested that metabolic inflammation may contribute to obesity and depression in patients with psoriasis and highlighted the importance of several cytokines, including tumor necrosis factor α, IL-6, IL-8, IL-17, and IL-23. Our study revealed no significant differences in depression scores between BMI groups. Another meta-analysis reported conflicting findings on the incidence of depression in obese patients with psoriasis.²³ Some of the studies had a small number of participants. Compared to depression, anxiety has received less attention in studies of patients with obesity with psoriasis. However, these studies have shown a positive correlation between anxiety scores and BMI in patients with psoriasis.^24,25 In our study, similar to the findings of previous studies, overweight patients and those with obesitywho have psoriasis had significantly (P<.01) greater anxiety and stress scores than did normal weight patients with psoriasis.

Obesity should be assessed in patients with psoriasis via a biopsychosocial approach that takes into account genetic, behavioral, and environmental factors.²⁶ Eating disorders are considered to be one of the factors contributing to obesity. Numerous studies in the literature have demonstrated a greater incidence of EDs in patients with obesity vs those without obesity.^5,6,27 Obesity and EDs have a bidirectional relationship: individuals with obesity are at risk for EDs due to body dissatisfaction, dieting habits, and depressive states. Conversely, poor eating behaviors in individuals with a normal weight can lead to obesity.²⁸

There are few studies in the literature exploring the relationship between psoriasis and EDs. Crosta et al²⁹ demonstrated that patients with psoriasis had impaired results on ED screening tests and that these scores deteriorated further as BMI increased. Moreover, Altunay et al³⁰ demonstrated that patients with psoriasis and metabolic syndrome had higher scores on the ED screening test. In this study, patients with higher scores also exhibited high levels of anxiety.³⁰ In our study, similar to the findings of previous studies, patients with psoriasis who were overweight or had obesity had significantly (P<.01) greater EAT-26 scores than those in the normal weight group. Patients with high EAT-26 scores also exhibited elevated levels of depression, anxiety, and stress. Additionally, EAT-26 scores were positively correlated with BMI, anxiety, depression, and stress scores. Our study as well as other studies in the literature indicate that additional research is needed to determine the associations between EDs and obesity in psoriasis.

Conclusion

Managing obesity is crucial for patients with psoriasis. This study showed that EAT-26 scores were higher in patients with psoriasis who were overweight or had obesity than in those who were normal weight. Participants with high EAT-26 scores (≥20 points) were more likely to be female and have higher anxiety and stress scores. In addition, EAT-26 scores were positively correlated with BMI as well as depression, anxiety, and stress scores. Eating disorders may contribute to the development of obesity in patients with psoriasis. Although our study was limited by a small sample size, the results suggest that there is a need for large-scale multicenter studies to investigate the relationship between psoriasis and EDs.

Psoriasis is a chronic multisystemic inflammatory skin disease with a worldwide prevalence of 2% to 3%.¹ Psoriasis can be accompanied by other conditions such as psoriatic arthritis, obesity, metabolic syndrome, diabetes mellitus, hypertension, dyslipidemia, atherosclerotic disease, inflammatory bowel disease, and anxiety/depression. It is important to manage comorbidities of psoriasis in addition to treating the cutaneous manifestations of the disease.¹

Obesity is a major public health concern worldwide. Numerous observational and epidemiologic studies have reported a high prevalence of obesity among patients with psoriasis.² Current evidence indicates that obesity may initiate or worsen psoriasis; furthermore, it is important to note that obesity may negatively impact the effectiveness of psoriasis-specific treatments or increase the incidence of adverse effects. Therefore, managing obesity is crucial in the treatment of psoriasis.³ Numerous studies have investigated the association between psoriasis and obesity, and they commonly conclude that both conditions share the same genetic metabolic pathways.^2-4 However, it is important to consider environmental factors such as dietary habits, smoking, alcohol consumption, and a sedentary lifestyle—all of which are associated with psoriasis and also can contribute to the development of obesity.⁵ Because of the effects of obesity in psoriasis patients, factors that impact the development of obesity have become a popular research topic.

Eating disorders (EDs) are a crucial risk factor for both developing and maintaining obesity. In particular, two EDs that are associated with obesity include binge eating disorder and bulimia nervosa.⁶ According to the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition,⁷ binge eating disorder can be diagnosed when a patient has at least 1 episode of binge eating per week over a 3-month period. Bulimia nervosa can be diagnosed when a patient is excessively concerned with their body weight and shape and engages in behaviors to prevent weight gain (eg, forced vomiting, excessive use of laxatives).⁷ Psychiatrists who specialize in EDs make diagnoses based on these criteria. In daily practice, there are several quick and simple questionnaires available to screen for EDs that can be used by nonpsychiatrist physicians, including the commonly used 26-item Eating Attitudes Test (EAT-26).⁸ The EAT-26 has been used to screen for EDs in patients with inflammatory disorders.⁹

The aim of this study was to screen for EDs in patients with psoriasis to identify potential risk factors for development of obesity.

Materials and Methods

This study included patients with psoriasis who were screened for EDs at a tertiary dermatology clinic in Turkey between January 2021 and December 2023. This study was approved by the local ethics committee and was in accordance with the Declaration of Helsinki (decision number E-93471371-514.99-225000079).

Study Design and Patient Inclusion Criteria—This quantitative cross-sectional study utilized EAT-26, Dermatology Life Quality Index (DLQI), Attitude Scale for Healthy Nutrition (ASHN), and Depression Anxiety Stress Scale-21 (DASS-21) scores. All the questionnaire scales used in the study were adapted and validated in Turkey.^8,10-12 The inclusion criteria consisted of being older than 18 years of age, being literate, having psoriasis for at least 1 year that was not treated topically or systemically, and having no psychiatric diseases outside an ED. The questionnaires were presented in written format following the clinical examination. Literacy was an inclusion criterion in this study due to the absence of auxiliary health personnel.

Study Variables—The study variables included age, sex, marital status (single/divorced or married), education status (primary/secondary school or high school/university), employment status (employed or unemployed/retired), body mass index (BMI), smoking status, alcohol-consumption status, Psoriasis Area Severity Index score, presence of nail psoriasis and psoriatic arthritis, duration of psoriasis, family history of psoriasis, EAT-26 score, ASHN score, DLQI score, and DASS-21 score. Body mass index was calculated by taking a participant’s weight in kilograms and dividing it by their height in meters squared. The BMI values were classified into 3 categories: normal (18.5–24.9 kg/m²), overweight (25.0–29.9 kg/m²), and obese (≥30 kg/m²).¹³

Questionnaires—The EAT-26 questionnaire includes 26 questions that are used to detect EDs. Responses to each question include Likert-type answer options (ie, “always,” “usually,” “often,” “sometimes,” “rarely,” and “never.”) Patients with scores of 20 points or higher (range, 0–78) are classified as high risk for EDs.⁸ In our study, EAT-26 scores were grouped into 2 categories: patients scoring less than 20 points and those scoring 20 points or higher.

The DLQI questionnaire includes 10 questions to measure dermatologic symptoms and qualiy of life. Responses to each question include Likert-type answer options (ie, “not at all,” “a little,” “a lot,” or “very much.”) On the DLQI scale, the higher the score, the lower the quality of life (score range, 0–30).¹⁰

The ASHN questionnaire includes 21 questions that measure attitudes toward healthy nutrition with 5 possible answer options (“strongly disagree,” “disagree,” “undecided,” “agree,” and “strongly agree”). On this scale, higher scores indicate the participant is more knowledgeable about healthy nutrition (score range, 0–78).¹¹

The DASS-21 questionnaire includes 21 questions that measure the severity of a range of symptoms common to depression, anxiety, and stress. Responses include Likert-type answer options (eg, “never,” “sometimes,” “often,” and “almost always.”) On this scale, a higher score (range of 0–21 for each) indicates higher levels of depression, anxiety, and stress.¹²

Statistical Analysis—Descriptive statistics were analyzed using SPSS software version 22.0 (IBM). The Shapiro-Wilk test was applied to determine whether the data were normally distributed. For categorical variables, frequency differences among groups were compared using the Pearson χ² test. A t test was used to compare the means of 2 independent groups with a normal distribution. One-way analysis of variance and Tukey Honest Significant Difference post hoc analysis were used to test whether there was a statistically significant difference among the normally distributed means of independent groups. Pearson correlation analysis was used to determine whether there was a linear relationship between 2 numeric measurements and, if so, to determine the direction and severity of this relationship. P<.05 indicated statistical significance in this study.

Results

Study Participant Demographics—This study included 82 participants with a mean age of 44.3 years; 52.4% (43/82) were female, and 85.4% (70/82) were married. The questionnaire took an average of 4.2 minutes for participants to complete. A total of 57.3% (47/82) of patients had completed primary/secondary education and 59.8% (49/82) were employed. The mean BMI was 28.1 kg/m². According to the BMI classification, 26.8% (22/82) participants had a normal weight, 36.6% (30/82) were overweight, and 43.9% (36/82) were obese. A total of 48.8% (40/82) of participants smoked, and 4.9% (4/82) consumed alcohol. The mean Psoriasis Area and Severity Index score was 5.4. A total of 54.9% (45/82) of participants had nail psoriasis, and 24.4% (20/82) had psoriatic arthritis. The mean duration of psoriasis was 153 months. A total of 29.3% (24/82) of participants had a positive family history of psoriasis. The mean EAT-26 score was 11.1. A total of 12.2% (10/82) of participants had an EAT-26 score of 20 points or higher and were considered at high risk for an ED. The mean ASHN score was 72.9; the mean DLQI score was 5.5; and on the DASS-21 scale, mean scores for depression, anxiety, and stress were 6.3, 8.7, and 10.0, respectively (Table).

Comparative Evaluation of the BMI Groups—The only statistically significant differences among the 3 BMI groups were related to marital status, EAT-26 score, and anxiety and stress scores (P=.02, <.01, <.01, and <.01, respectively)(eTable 1). The number of single/divorced participants in the overweight group was significantly (P=.02) greater than in the normal weight group. The mean EAT-26 score for the normal weight group was significantly (P<.01) lower than for the overweight and obese groups; there was no significant difference in mean EAT-26 scores between the overweight and obese groups. The mean anxiety score was significantly (P<.01) lower in the normal weight group compared with the overweight and obese groups. There was no significant difference between the overweight and obese groups according to the mean depression score. The mean stress and anxiety scores were significantly (P<.01) lower in the normal weight group than in the overweight and obese groups. There was no significant difference between the overweight and obese groups according to the mean anxiety score.

Comment

Eating disorders are psychiatric conditions that require a multidisciplinary approach. Nonpsychiatric medical departments may be involved due to the severe consequences (eg, various skin changes¹⁴) of these disorders. Psoriasis is not known to be directly affected by the presence of an ED; however, it is possible that EDs could indirectly affect patients with psoriasis by influencing obesity. Therefore, this study aimed to examine the relationship between ED risk factors and obesity in this population.

The relationship between psoriasis and obesity has been a popular research topic in dermatology since the 1990s.¹⁵ Epidemiologic and observational studies have reported that patients with psoriasis are more likely to be overweight or have obesity, which is an independent risk factor for psoriasis.^3,16 However, the causal relationship between psoriasis and obesity remains unclear. In a comprehensive review, Barros et al¹⁷ emphasized the causal relationship between obesity and psoriasis under several headings. Firstly, a higher BMI increases the risk for psoriasis by promoting cytokine release and immune system dysregulation. Secondly, a Western diet (eg, processed foods and fast food) triggers obesity and psoriasis by increasing adipose tissue. Thirdly, the alteration of the skin and gut microbiota triggers chronic inflammation as a result of bacterial translocation in patients with obesity. Fourthly, a high-fat diet and palmitic acid disrupt the intestinal integrity of the gut and increase the risk for psoriasis and obesity by triggering chronic inflammation of bacterial fragments that pass into the blood. Finally, the decrease in the amount of adiponectin and the increase in the amount of leptin in patients with obesity may cause psoriasis by increasing proinflammatory cytokines, which are similar to those involved in the pathogenesis of psoriasis.¹⁷ Additionally, psoriatic inflammation can cause insulin resistance and metabolic dysfunction, leading to obesity.¹⁸ The relationship between psoriasis and obesity cannot be solely explained by metabolic pathways. Smoking, alcohol consumption, and a sedentary lifestyle all are associated with psoriasis and also can contribute to obesity.⁵ Our study revealed no significant difference in smoking or alcohol consumption between the normal weight and overweight/obesity groups. Based on our data, we determined that smoking and alcohol consumption did not affect obesity in our patients with psoriasis.

Observational and epidemiologic studies have shown that patients with psoriasis experience increased rates of depression, anxiety, and stress.¹⁹ In studies of pathogenesis, a connection between depression and psoriatic inflammation has been established.²⁰ It is known that inflammatory cytokines similar to those in psoriasis are involved in the development of obesity.¹⁸ In addition, depression and anxiety can lead to binge eating, unhealthy food choices, and a more sedentary lifestyle.⁵ All of these variables may contribute to the associations between depression and anxiety with psoriasis and obesity. Zafiriou et al²¹ conducted a study to investigate the relationship between psoriasis, obesity, and depression through inflammatory pathways with a focus on the importance of IL-17. Data showing that IL-17–producing Th17-cell subgroups play a considerable role in the development of obesity and depression prompted the authors to suggest that psoriasis, obesity, and ­anxiety/depression may be interconnected manifestations of immune dysregulation, potentially linked to IL-17 and its associated cells.²¹ Mrowietz et al²² also suggested that metabolic inflammation may contribute to obesity and depression in patients with psoriasis and highlighted the importance of several cytokines, including tumor necrosis factor α, IL-6, IL-8, IL-17, and IL-23. Our study revealed no significant differences in depression scores between BMI groups. Another meta-analysis reported conflicting findings on the incidence of depression in obese patients with psoriasis.²³ Some of the studies had a small number of participants. Compared to depression, anxiety has received less attention in studies of patients with obesity with psoriasis. However, these studies have shown a positive correlation between anxiety scores and BMI in patients with psoriasis.^24,25 In our study, similar to the findings of previous studies, overweight patients and those with obesitywho have psoriasis had significantly (P<.01) greater anxiety and stress scores than did normal weight patients with psoriasis.

Obesity should be assessed in patients with psoriasis via a biopsychosocial approach that takes into account genetic, behavioral, and environmental factors.²⁶ Eating disorders are considered to be one of the factors contributing to obesity. Numerous studies in the literature have demonstrated a greater incidence of EDs in patients with obesity vs those without obesity.^5,6,27 Obesity and EDs have a bidirectional relationship: individuals with obesity are at risk for EDs due to body dissatisfaction, dieting habits, and depressive states. Conversely, poor eating behaviors in individuals with a normal weight can lead to obesity.²⁸

There are few studies in the literature exploring the relationship between psoriasis and EDs. Crosta et al²⁹ demonstrated that patients with psoriasis had impaired results on ED screening tests and that these scores deteriorated further as BMI increased. Moreover, Altunay et al³⁰ demonstrated that patients with psoriasis and metabolic syndrome had higher scores on the ED screening test. In this study, patients with higher scores also exhibited high levels of anxiety.³⁰ In our study, similar to the findings of previous studies, patients with psoriasis who were overweight or had obesity had significantly (P<.01) greater EAT-26 scores than those in the normal weight group. Patients with high EAT-26 scores also exhibited elevated levels of depression, anxiety, and stress. Additionally, EAT-26 scores were positively correlated with BMI, anxiety, depression, and stress scores. Our study as well as other studies in the literature indicate that additional research is needed to determine the associations between EDs and obesity in psoriasis.

Conclusion

Managing obesity is crucial for patients with psoriasis. This study showed that EAT-26 scores were higher in patients with psoriasis who were overweight or had obesity than in those who were normal weight. Participants with high EAT-26 scores (≥20 points) were more likely to be female and have higher anxiety and stress scores. In addition, EAT-26 scores were positively correlated with BMI as well as depression, anxiety, and stress scores. Eating disorders may contribute to the development of obesity in patients with psoriasis. Although our study was limited by a small sample size, the results suggest that there is a need for large-scale multicenter studies to investigate the relationship between psoriasis and EDs.

More than 37 million Americans have diabetes mellitus (DM), and approximately 90% have type 2 DM (T2DM), including about 25% of veterans.^1,2 The current guidelines suggest that therapy depends on a patient's comorbidities, management needs, and patient-centered treatment factors.³ About 1 in 3 adults with DM have chronic kidney disease (CKD), defined as the presence of kidney damage or an estimated glomerular filtration rate (eGFR) < 60 mL/min per 1.73 m², persisting for ≥ 3 months.⁴

Sodium-glucose cotransporter-2 (SGLT-2) inhibitors are a class of antihyperglycemic agents acting on the SGLT-2 proteins expressed in the renal proximal convoluted tubules. They exert their effects by preventing the reabsorption of filtered glucose from the tubular lumen. There are 4 SGLT-2 inhibitors approved by the US Food and Drug Administration: canagliflozin, dapagliflozin, empagliflozin, and ertugliflozin. Empagliflozin is currently the preferred SGLT-2 inhibitor on the US Department of Veterans Affairs (VA) formulary.

According to the American Diabetes Association guidelines, empagliflozin is considered when an individual has or is at risk for atherosclerotic cardiovascular disease, heart failure, and CKD.³ SGLT-2 inhibitors are a favorable option due to their low risk for hypoglycemia while also promoting weight loss. The EMPEROR-Reduced trial demonstrated that, in addition to benefits for patients with heart failure, empagliflozin also slowed the progressive decline in kidney function in those with and without DM.⁵ The purpose of this study was to evaluate the effectiveness of empagliflozin on hemoglobin A_1c (HbA_1c) levels in patients with CKD at the Hershel “Woody” Williams VA Medical Center (HWWVAMC) in Huntington, West Virginia, along with other laboratory test markers.

Methods

The Marshall University Institutional Review Board #1 (Medical) and the HWWVAMC institutional review board and research and development committee each reviewed and approved this study. A retrospective chart review was conducted on patients diagnosed with T2DM and stage 3 CKD who were prescribed empagliflozin for DM management between January 1, 2015, and October 1, 2022, yielding 1771 patients. Data were obtained through the VHA Corporate Data Warehouse (CDW) and stored on the VA Informatics and Computing Infrastructure (VINCI) research server.

Patients were included if they were aged 18 to 89 years, prescribed empagliflozin by a VA clinician for the treatment of T2DM, had an eGFR between 30 and 59 mL/min/1.73 m², and had an initial HbA_1c between 7% and 10%. Using further random sampling, patients were either excluded or divided into, those with stage 3a CKD and those with stage 3b CKD. The primary endpoint of this study was the change in HbA_1c levels in patients with stage 3b CKD (eGFR 30-44 mL/min/1.73 m²) compared with stage 3a (eGFR 45-59 mL/min/1.73 m²) after 12 months. The secondary endpoints included effects on renal function, weight, blood pressure, incidence of adverse drug events, and cardiovascular events. Of the excluded, 38 had HbA_1c < 7%, 30 had HbA_1c ≥ 10%, 21 did not have data at 1-year mark, 15 had the medication discontinued due to decline in renal function, 14 discontinued their medication without documented reason, 10 discontinued their medication due to adverse drug reactions (ADRs), 12 had eGFR > 60 mL/ min/1.73 m², 9 died within 1 year of initiation, 4 had eGFR < 30 mL/min/1.73 m², 1 had no baseline eGFR, and 1 was the spouse of a veteran.

Statistical Analysis

All statistical analyses were performed using STATA v.15. We used t tests to examine changes within each group, along with paired t tests to compare the 2 groups. Two-sample t tests were used to analyze the continuous data at both the primary and secondary endpoints.

Results

Of the 1771 patients included in the initial data set, a randomized sample of 255 charts were reviewed, 155 were excluded, and 100 were included. Fifty patients, had stage 3a CKD and 50 had stage 3b CKD. Baseline demographics were similar between the stage 3a and 3b groups (Table 1). Both groups were predominantly White and male, with mean age > 70 years.

The primary endpoint was the differences in HbA_1c levels over time and between groups for patients with stage 3a and stage 3b CKD 1 year after initiation of empagliflozin. The starting doses of empagliflozin were either 12.5 mg or 25.0 mg. For both groups, the changes in HbA_1c levels were statistically significant (Table 2). HbA_1c levels dropped 0.65% for the stage 3a group and 0.48% for the 3b group. When compared to one another, the results were not statistically significant (P = .51).

Secondary Endpoint

There was no statistically significant difference in serum creatinine levels within each group between baselines and 1 year later for the stage 3a (P = .21) and stage 3b (P = .22) groups, or when compared to each other (P = .67). There were statistically significant changes in weight for patients in the stage 3a group (P < .05), but not for stage 3b group (P = .06) or when compared to each other (P = .41). A statistically significant change in systolic blood pressure was observed for the stage 3a group (P = .003), but not the stage 3b group (P = .16) or when compared to each other (P = .27). There were statistically significant changes in diastolic blood pressure within the stage 3a group (P = .04), but not within the stage 3b group (P = .61) or when compared to each other (P = .31).

Ten patients discontinued empagliflozin before the 1-year mark due to ADRs, including dizziness, increased incidence of urinary tract infections, rash, and tachycardia (Table 3). Additionally, 3 ADRs resulted in the empagliflozin discontinuation after 1 year (Table 3).

Discussion

This study showed a statistically significant change in HbA_1c levels for patients with stage 3a and stage 3b CKD. With eGFR levels in these 2 groups > 30 mL/min/1.73 m², patients were able to achieve glycemic benefits. There were no significant changes to the serum creatinine levels. Both groups saw statistically significant changes in weight loss within their own group; however, there were no statistically significant changes when compared to each other. With both systolic and diastolic blood pressure, the stage 3a group had statistically significant changes.

The EMPA-REG BP study demonstrated that empagliflozin was associated with significant and clinically meaningful reductions in blood pressure and HbA_1c levels compared with placebo and was well tolerated in patients with T2DM and hypertension.^6,7,8

Limitations

This study had a retrospective study design, which resulted in missing information for many patients and higher rates of exclusion. The population was predominantly older, White, and male and may not reflect other populations. The starting doses of empagliflozin varied between the groups. The VA employs tablet splitting for some patients, and the available doses were either 10.0 mg, 12.5 mg, or 25.0 mg. Some prescribers start veterans at lower doses and gradually increase to the higher dose of 25.0 mg, adding to the variability in starting doses.

Patients with eGFR < 30 mL/min/1.73 m² make it difficult to determine any potential benefit in this population. The EMPA-KIDNEY trial demonstrated that the benefits of empagliflozin treatment were consistent among patients with or without DM and regardless of eGFR at randomization.⁹ Furthermore, many veterans had an initial HbA_1c levels outside the inclusion criteria range, which was a factor in the smaller sample size.

Conclusions

While the reduction in HbA_1c levels was less in patients with stage 3b CKD compared to patients stage 3a CKD, all patients experienced a benefit. The overall incidence of ADRs was low in the study population, showing empagliflozin as a favorable choice for those with T2DM and CKD. Based on the findings of this study, empagliflozin is a potentially beneficial option for reducing HbA_1c levels in patients with CKD.

More than 37 million Americans have diabetes mellitus (DM), and approximately 90% have type 2 DM (T2DM), including about 25% of veterans.^1,2 The current guidelines suggest that therapy depends on a patient's comorbidities, management needs, and patient-centered treatment factors.³ About 1 in 3 adults with DM have chronic kidney disease (CKD), defined as the presence of kidney damage or an estimated glomerular filtration rate (eGFR) < 60 mL/min per 1.73 m², persisting for ≥ 3 months.⁴

Sodium-glucose cotransporter-2 (SGLT-2) inhibitors are a class of antihyperglycemic agents acting on the SGLT-2 proteins expressed in the renal proximal convoluted tubules. They exert their effects by preventing the reabsorption of filtered glucose from the tubular lumen. There are 4 SGLT-2 inhibitors approved by the US Food and Drug Administration: canagliflozin, dapagliflozin, empagliflozin, and ertugliflozin. Empagliflozin is currently the preferred SGLT-2 inhibitor on the US Department of Veterans Affairs (VA) formulary.

According to the American Diabetes Association guidelines, empagliflozin is considered when an individual has or is at risk for atherosclerotic cardiovascular disease, heart failure, and CKD.³ SGLT-2 inhibitors are a favorable option due to their low risk for hypoglycemia while also promoting weight loss. The EMPEROR-Reduced trial demonstrated that, in addition to benefits for patients with heart failure, empagliflozin also slowed the progressive decline in kidney function in those with and without DM.⁵ The purpose of this study was to evaluate the effectiveness of empagliflozin on hemoglobin A_1c (HbA_1c) levels in patients with CKD at the Hershel “Woody” Williams VA Medical Center (HWWVAMC) in Huntington, West Virginia, along with other laboratory test markers.

Methods

The Marshall University Institutional Review Board #1 (Medical) and the HWWVAMC institutional review board and research and development committee each reviewed and approved this study. A retrospective chart review was conducted on patients diagnosed with T2DM and stage 3 CKD who were prescribed empagliflozin for DM management between January 1, 2015, and October 1, 2022, yielding 1771 patients. Data were obtained through the VHA Corporate Data Warehouse (CDW) and stored on the VA Informatics and Computing Infrastructure (VINCI) research server.

Patients were included if they were aged 18 to 89 years, prescribed empagliflozin by a VA clinician for the treatment of T2DM, had an eGFR between 30 and 59 mL/min/1.73 m², and had an initial HbA_1c between 7% and 10%. Using further random sampling, patients were either excluded or divided into, those with stage 3a CKD and those with stage 3b CKD. The primary endpoint of this study was the change in HbA_1c levels in patients with stage 3b CKD (eGFR 30-44 mL/min/1.73 m²) compared with stage 3a (eGFR 45-59 mL/min/1.73 m²) after 12 months. The secondary endpoints included effects on renal function, weight, blood pressure, incidence of adverse drug events, and cardiovascular events. Of the excluded, 38 had HbA_1c < 7%, 30 had HbA_1c ≥ 10%, 21 did not have data at 1-year mark, 15 had the medication discontinued due to decline in renal function, 14 discontinued their medication without documented reason, 10 discontinued their medication due to adverse drug reactions (ADRs), 12 had eGFR > 60 mL/ min/1.73 m², 9 died within 1 year of initiation, 4 had eGFR < 30 mL/min/1.73 m², 1 had no baseline eGFR, and 1 was the spouse of a veteran.

Statistical Analysis

All statistical analyses were performed using STATA v.15. We used t tests to examine changes within each group, along with paired t tests to compare the 2 groups. Two-sample t tests were used to analyze the continuous data at both the primary and secondary endpoints.

Results

Of the 1771 patients included in the initial data set, a randomized sample of 255 charts were reviewed, 155 were excluded, and 100 were included. Fifty patients, had stage 3a CKD and 50 had stage 3b CKD. Baseline demographics were similar between the stage 3a and 3b groups (Table 1). Both groups were predominantly White and male, with mean age > 70 years.

The primary endpoint was the differences in HbA_1c levels over time and between groups for patients with stage 3a and stage 3b CKD 1 year after initiation of empagliflozin. The starting doses of empagliflozin were either 12.5 mg or 25.0 mg. For both groups, the changes in HbA_1c levels were statistically significant (Table 2). HbA_1c levels dropped 0.65% for the stage 3a group and 0.48% for the 3b group. When compared to one another, the results were not statistically significant (P = .51).

Secondary Endpoint

There was no statistically significant difference in serum creatinine levels within each group between baselines and 1 year later for the stage 3a (P = .21) and stage 3b (P = .22) groups, or when compared to each other (P = .67). There were statistically significant changes in weight for patients in the stage 3a group (P < .05), but not for stage 3b group (P = .06) or when compared to each other (P = .41). A statistically significant change in systolic blood pressure was observed for the stage 3a group (P = .003), but not the stage 3b group (P = .16) or when compared to each other (P = .27). There were statistically significant changes in diastolic blood pressure within the stage 3a group (P = .04), but not within the stage 3b group (P = .61) or when compared to each other (P = .31).

Ten patients discontinued empagliflozin before the 1-year mark due to ADRs, including dizziness, increased incidence of urinary tract infections, rash, and tachycardia (Table 3). Additionally, 3 ADRs resulted in the empagliflozin discontinuation after 1 year (Table 3).

Discussion

This study showed a statistically significant change in HbA_1c levels for patients with stage 3a and stage 3b CKD. With eGFR levels in these 2 groups > 30 mL/min/1.73 m², patients were able to achieve glycemic benefits. There were no significant changes to the serum creatinine levels. Both groups saw statistically significant changes in weight loss within their own group; however, there were no statistically significant changes when compared to each other. With both systolic and diastolic blood pressure, the stage 3a group had statistically significant changes.

The EMPA-REG BP study demonstrated that empagliflozin was associated with significant and clinically meaningful reductions in blood pressure and HbA_1c levels compared with placebo and was well tolerated in patients with T2DM and hypertension.^6,7,8

Limitations

This study had a retrospective study design, which resulted in missing information for many patients and higher rates of exclusion. The population was predominantly older, White, and male and may not reflect other populations. The starting doses of empagliflozin varied between the groups. The VA employs tablet splitting for some patients, and the available doses were either 10.0 mg, 12.5 mg, or 25.0 mg. Some prescribers start veterans at lower doses and gradually increase to the higher dose of 25.0 mg, adding to the variability in starting doses.

Patients with eGFR < 30 mL/min/1.73 m² make it difficult to determine any potential benefit in this population. The EMPA-KIDNEY trial demonstrated that the benefits of empagliflozin treatment were consistent among patients with or without DM and regardless of eGFR at randomization.⁹ Furthermore, many veterans had an initial HbA_1c levels outside the inclusion criteria range, which was a factor in the smaller sample size.

Conclusions

While the reduction in HbA_1c levels was less in patients with stage 3b CKD compared to patients stage 3a CKD, all patients experienced a benefit. The overall incidence of ADRs was low in the study population, showing empagliflozin as a favorable choice for those with T2DM and CKD. Based on the findings of this study, empagliflozin is a potentially beneficial option for reducing HbA_1c levels in patients with CKD.

More than 37 million Americans have diabetes mellitus (DM), and approximately 90% have type 2 DM (T2DM), including about 25% of veterans.^1,2 The current guidelines suggest that therapy depends on a patient's comorbidities, management needs, and patient-centered treatment factors.³ About 1 in 3 adults with DM have chronic kidney disease (CKD), defined as the presence of kidney damage or an estimated glomerular filtration rate (eGFR) < 60 mL/min per 1.73 m², persisting for ≥ 3 months.⁴

Sodium-glucose cotransporter-2 (SGLT-2) inhibitors are a class of antihyperglycemic agents acting on the SGLT-2 proteins expressed in the renal proximal convoluted tubules. They exert their effects by preventing the reabsorption of filtered glucose from the tubular lumen. There are 4 SGLT-2 inhibitors approved by the US Food and Drug Administration: canagliflozin, dapagliflozin, empagliflozin, and ertugliflozin. Empagliflozin is currently the preferred SGLT-2 inhibitor on the US Department of Veterans Affairs (VA) formulary.

According to the American Diabetes Association guidelines, empagliflozin is considered when an individual has or is at risk for atherosclerotic cardiovascular disease, heart failure, and CKD.³ SGLT-2 inhibitors are a favorable option due to their low risk for hypoglycemia while also promoting weight loss. The EMPEROR-Reduced trial demonstrated that, in addition to benefits for patients with heart failure, empagliflozin also slowed the progressive decline in kidney function in those with and without DM.⁵ The purpose of this study was to evaluate the effectiveness of empagliflozin on hemoglobin A_1c (HbA_1c) levels in patients with CKD at the Hershel “Woody” Williams VA Medical Center (HWWVAMC) in Huntington, West Virginia, along with other laboratory test markers.

Methods

The Marshall University Institutional Review Board #1 (Medical) and the HWWVAMC institutional review board and research and development committee each reviewed and approved this study. A retrospective chart review was conducted on patients diagnosed with T2DM and stage 3 CKD who were prescribed empagliflozin for DM management between January 1, 2015, and October 1, 2022, yielding 1771 patients. Data were obtained through the VHA Corporate Data Warehouse (CDW) and stored on the VA Informatics and Computing Infrastructure (VINCI) research server.

Patients were included if they were aged 18 to 89 years, prescribed empagliflozin by a VA clinician for the treatment of T2DM, had an eGFR between 30 and 59 mL/min/1.73 m², and had an initial HbA_1c between 7% and 10%. Using further random sampling, patients were either excluded or divided into, those with stage 3a CKD and those with stage 3b CKD. The primary endpoint of this study was the change in HbA_1c levels in patients with stage 3b CKD (eGFR 30-44 mL/min/1.73 m²) compared with stage 3a (eGFR 45-59 mL/min/1.73 m²) after 12 months. The secondary endpoints included effects on renal function, weight, blood pressure, incidence of adverse drug events, and cardiovascular events. Of the excluded, 38 had HbA_1c < 7%, 30 had HbA_1c ≥ 10%, 21 did not have data at 1-year mark, 15 had the medication discontinued due to decline in renal function, 14 discontinued their medication without documented reason, 10 discontinued their medication due to adverse drug reactions (ADRs), 12 had eGFR > 60 mL/ min/1.73 m², 9 died within 1 year of initiation, 4 had eGFR < 30 mL/min/1.73 m², 1 had no baseline eGFR, and 1 was the spouse of a veteran.

Statistical Analysis

All statistical analyses were performed using STATA v.15. We used t tests to examine changes within each group, along with paired t tests to compare the 2 groups. Two-sample t tests were used to analyze the continuous data at both the primary and secondary endpoints.

Results

Of the 1771 patients included in the initial data set, a randomized sample of 255 charts were reviewed, 155 were excluded, and 100 were included. Fifty patients, had stage 3a CKD and 50 had stage 3b CKD. Baseline demographics were similar between the stage 3a and 3b groups (Table 1). Both groups were predominantly White and male, with mean age > 70 years.

The primary endpoint was the differences in HbA_1c levels over time and between groups for patients with stage 3a and stage 3b CKD 1 year after initiation of empagliflozin. The starting doses of empagliflozin were either 12.5 mg or 25.0 mg. For both groups, the changes in HbA_1c levels were statistically significant (Table 2). HbA_1c levels dropped 0.65% for the stage 3a group and 0.48% for the 3b group. When compared to one another, the results were not statistically significant (P = .51).

Secondary Endpoint

There was no statistically significant difference in serum creatinine levels within each group between baselines and 1 year later for the stage 3a (P = .21) and stage 3b (P = .22) groups, or when compared to each other (P = .67). There were statistically significant changes in weight for patients in the stage 3a group (P < .05), but not for stage 3b group (P = .06) or when compared to each other (P = .41). A statistically significant change in systolic blood pressure was observed for the stage 3a group (P = .003), but not the stage 3b group (P = .16) or when compared to each other (P = .27). There were statistically significant changes in diastolic blood pressure within the stage 3a group (P = .04), but not within the stage 3b group (P = .61) or when compared to each other (P = .31).

Ten patients discontinued empagliflozin before the 1-year mark due to ADRs, including dizziness, increased incidence of urinary tract infections, rash, and tachycardia (Table 3). Additionally, 3 ADRs resulted in the empagliflozin discontinuation after 1 year (Table 3).

Discussion

This study showed a statistically significant change in HbA_1c levels for patients with stage 3a and stage 3b CKD. With eGFR levels in these 2 groups > 30 mL/min/1.73 m², patients were able to achieve glycemic benefits. There were no significant changes to the serum creatinine levels. Both groups saw statistically significant changes in weight loss within their own group; however, there were no statistically significant changes when compared to each other. With both systolic and diastolic blood pressure, the stage 3a group had statistically significant changes.

The EMPA-REG BP study demonstrated that empagliflozin was associated with significant and clinically meaningful reductions in blood pressure and HbA_1c levels compared with placebo and was well tolerated in patients with T2DM and hypertension.^6,7,8

Limitations

This study had a retrospective study design, which resulted in missing information for many patients and higher rates of exclusion. The population was predominantly older, White, and male and may not reflect other populations. The starting doses of empagliflozin varied between the groups. The VA employs tablet splitting for some patients, and the available doses were either 10.0 mg, 12.5 mg, or 25.0 mg. Some prescribers start veterans at lower doses and gradually increase to the higher dose of 25.0 mg, adding to the variability in starting doses.

Patients with eGFR < 30 mL/min/1.73 m² make it difficult to determine any potential benefit in this population. The EMPA-KIDNEY trial demonstrated that the benefits of empagliflozin treatment were consistent among patients with or without DM and regardless of eGFR at randomization.⁹ Furthermore, many veterans had an initial HbA_1c levels outside the inclusion criteria range, which was a factor in the smaller sample size.

Conclusions

While the reduction in HbA_1c levels was less in patients with stage 3b CKD compared to patients stage 3a CKD, all patients experienced a benefit. The overall incidence of ADRs was low in the study population, showing empagliflozin as a favorable choice for those with T2DM and CKD. Based on the findings of this study, empagliflozin is a potentially beneficial option for reducing HbA_1c levels in patients with CKD.

As large-scale natural disasters become more common, health care coalitions and the engagement of health systems with local, state, and federal public health departments have effectively bolstered communities’ resilience via collective sharing and distribution of resources.¹ These resources may include supplies and the dissemination of emergency information, education, and training.² The COVID-19 pandemic demonstrated that larger health care systems including hospital networks and nursing homes are better connected to health care coalition resources than smaller, independent systems, such as community home health agencies.³ This leaves some organizations on their own to meet requirements that maintain continuity of care and support their patients and staff throughout a natural disaster.

Home health care workers play important roles in the care of older adults.⁴ Older adults experience high levels of disability and comorbidities that put them at risk during emergencies; they often require support from paid, family, and neighborhood caregivers to live independently.⁵ More than 9.3 million US adults receive paid care from 2.6 million home health care workers (eg, home health aides and personal care assistants).⁶ Many of these individuals are hired through small independent home health agencies (HHAs), while others may work directly for an individual. When neighborhood resources and family caregiving are disrupted during emergencies, the critical services these workers administer become even more essential to ensuring continued access to medical care and social services.

The importance of these services was underscored by the Centers for Medicare and Medicaid Services 2017 inclusion of HHAs in federal emergency preparedness guidelines.^7,8 The fractured and decentralized nature of the home health care industry means many HHAs struggle to maintain continuous care during emergencies and protect their staff. HHAs, and health care workers in the home, are often isolated, under-resourced, and disconnected from broader emergency planning efforts. Additionally, home care jobs are largely part-time, unstable, and low paying, making the workers themselves vulnerable during emergencies.^3,9-13

This is a significant issue for the Veterans Health Administration (VHA), which annually purchases 10.5 million home health care worker visits for 150,000 veterans from community-based HHAs to enable those individuals to live independently. Figure 1 illustrates the existing structure of directly provided and contracted VHA services for community-dwelling veterans, highlighting the circle of care around the veteran.^8,9 Home health care workers anchored health care teams during the COVID-19 pandemic, observing and reporting on patients’ well-being to family caregivers, primary care practitioners, and HHAs. They also provided critical emotional support and companionship to patients isolated from family and friends.⁹ These workers also exposed themselves and their families to considerable risk and often lacked the protection afforded by personal protective equipment (PPE) in accordance with infection prevention guidance.^3,12

Through a combination of its national and local health care networks, the VHA has a robust and well-positioned emergency infrastructure to supportcommunity-dwelling older adults during disasters.¹⁴ This network is supported by the VHA Office of Emergency Management, which shares resources and guidance with local emergency managers at each facility as well as individual programs such as the VHA Home Based Primary Care (HBPC) program, which provides 38,000 seriously ill veterans with home medical visits.¹⁵ Working closely with their local and national hospital networks and emergency managers, individual VHA HBPC programs were able to maintain the safety of staff and continuity of care for patients enrolled in HBPC by rapidly administering COVID-19 vaccines to patients, caregivers, and staff, and providing emergency assistance during the 2017 hurricane season.^16,17 These efforts were successful because HBPC practitioners and their patients, had access to a level of emergency-related information, resources, and technology that are often out of reach for individual community-based health care practitioners (HCPs). The US Department of Veterans Affairs (VA) also supports local communities through its Fourth Mission, which provides emergency resources to non-VHA health care facilities (ie, hospitals and nursing homes) during national emergencies and natural disasters.¹⁷ Although there has been an expansion in the definition of shared resources, such as extending behavioral health support to local communities, the VHA has not historically provided these resources to HHAs.¹⁴

This study examines opportunities to leverage VHA emergency management resources to support contracted HHAs and inform other large health system emergency planning efforts. The findings from the exploratory phase are described in this article. We interviewed VHA emergency managers, HBPC and VA staff who coordinate home health care worker services, as well as administrators at contracted HHAs within a Veterans Integrated Services Network (VISN). These findings will inform the second (single-site pilot study) and third (feasibility study) phases. Our intent was to (1) better understand the relationships between VA medical centers (VAMCs) and their contracted HHAs; (2) identify existing VHA emergency protocols to support community-dwelling older adults; and (3) determine opportunities to build on existing infrastructure and relationships to better support contracted HHAs and their staff in emergencies.

Methods

The 18 VISNs act as regional systems of care that are loosely connected to better meet local health needs and maximize access to care. This study was conducted at 6 of 9 VAMCs within VISN 2, the New York/New Jersey VHA Health Care Network.¹⁸ VAMCs that serve urban, rural, and mixed urban/rural catchment areas were included.

Each VAMC has an emergency management program led by an emergency manager, an HBPC program led by a program director and medical director, and a community care or purchased care office that has a liaison who manages contracted home health care worker services. The studyfocused on HBPC programs because they are most likely to interact with veterans’ home health care workers in the home and care for community-dwelling veterans during emergencies. Each VHA also contracts with a series of local HHAs that generally have a dedicated staff member who interfaces with the VHA liaison. Our goal was to interview ≥ 1 emergency manager, ≥ 1 HBPC team member, ≥ 1 community care staff person, and ≥ 1 contracted home health agency administrator at each site to gain multiple perspectives from the range of HCPs serving veterans in the community.

Recruitment and Data Collection

The 6 sites were selected in consultation with VISN 2 leadership for their strong HBPC and emergency management programs. To recruit respondents, we contacted VISN and VAMC leads and used our professional networks to identify a sample of multidisciplinary individuals who represent both community care and HBPC programs who were contacted via email.

Since each VAMC is organized differently, we utilized a snowball sampling approach to identify the appropriate contacts.¹⁹ At the completion of each interview, we asked the participant to suggest additional contacts and introduce us to any remaining stakeholders (eg, the emergency manager) at that site or colleagues at other VISN facilities. Because roles vary among VAMCs, we contacted the person who most closely resembled the identified role and asked them to direct us to a more appropriate contact, if necessary. We asked community care managers to identify 1 to 2 agencies serving the highest volume of patients who are veterans at their site and requested interviews with those liaisons. This resulted in the recruitment of key stakeholders from 4 teams across the 6 sites (Table).

A semistructured interview guide was jointly developed based on constructs of interest, including relationships within VAMCs and between VAMCs and HHAs; existing emergency protocols and experience during disasters; and suggestions and opportunities for supporting agencies during emergencies and potential barriers. Two researchers (TWL and EF) who were trained in qualitative methods jointly conducted interviews using the interview guide, with 1 researcher leading and another taking notes and asking clarifying questions.

Interviews were conducted virtually via Microsoft Teams with respondents at their work locations between September 2022 and January 2023. Interviews were audio recorded and transcribed and 2 authors (TWL and ESO) reviewed transcripts for accuracy. Interviews averaged 47 minutes in length (range, 20-59).

The study was reviewed and determined to be exempt by institutional review boards at the James J. Peters VAMC and Greater Los Angeles VAMC. We asked participants for verbal consent to participate and preserved their confidentiality.

Analysis

Data were analyzed via an inductive approach, which involves drawing salient themes rather than imposing preconceived theories.²⁰ Three researchers (TWL, EF, and ES) listened to and discussed 2 staff interviews and tagged text with specific codes (eg, communication between the VHA and HHA, internal communication, and barriers to case fulfillment) so the team could selectively return to the interview text for deeper analysis, allowing for the development of a final codebook. The project team synthesized the findings to identify higher-level themes, drawing comparisons across and within the respondent groups, including within and between health care systems. Throughout the analysis, we maintained analytic memos, documented discussions, and engaged in analyst triangulation to ensure trustworthiness.^21,22 To ensure the analysis accurately reflected the participants’ understanding, we held 2 virtual member-checking sessions with participants to share preliminary findings and conclusions and solicit feedback. Analysis was conducted using ATLAS.ti version 20.

Results

VHA-based participants described internal emergency management systems that are deployed during a disaster to support patients and staff. Agency participants described their own internal emergency management protocols. Respondents discussed how and when the 2 intersected, as well as opportunities for future mutual support. The analysis identified several themes: (1) relationships between VAMC teams; (2) relationships between VHA and HHAs; (3) VHA and agencies responses during emergencies; (4) receptivity and opportunities for extending VHA resources into the community; and (5) barriers and facilitators to deeper engagement.

Relationships Within VHA (n = 17)

Staff at all VHA sites described close relationships between the internal emergency management and HBPC teams. HBPC teams identified patients who were most at risk during emergencies to triage those with the highest medical needs (eg, patients dependent on home infusion, oxygen, or electronic medical devices) and worked alongside emergency managers to develop plans to continue care during an emergency. HBPC representatives were part of their facilities’ local emergency response committees. Due to this close collaboration, VHA emergency managers were familiar with the needs of homebound veterans and caregivers. “I invite our [HBPC] program manager to attend [committee] meetings and … they’re part of the EOC [emergency operations center]," an emergency manager said. “We work together and I’m constantly in contact with that individual, especially during natural disasters and so forth, to ensure that everybody’s prepared in the community.”

On the other hand, community caremanagers—who described frequent interactions with HBPC teams, largely around coordinating and managing non-VHA home care services—were less likely to have direct relationships with their facility emergency managers. For example, when asked if they had a relationship with their emergency manager, a community care manager admitted, “I [only] know who he is.” They also did not report having structured protocols for veteran outreach during emergencies, “because all those veterans who are receiving [home health care worker] services also belong to a primary care team,” and considered the outreach to be the responsibility of the primary care team and HHA.

Relationships Between the VHA and HHAs (n = 17)

Communication between VAMCs and contracted agencies primarily went through community care managers, who described established long-term relationships with agency administrators. Communication was commonly restricted to operational activities, such as processing referrals and occasional troubleshooting. According to a community care manager most communication is “why haven’t you signed my orders?” There was a general sense from participants that communication was promptly answered, problems were addressed, and professional collegiality existed between the agencies as patients were referred and placed for services. One community care manager reported meeting with agencies regularly, noting, “I talk to them pretty much daily.”

If problems arose, community care managers described themselves as “the liaison” between agencies and VHA HCPs who ordered the referrals. This is particularly the case if the agency needed help finding a VHA clinician or addressing differences in care delivery protocols.

Responding During Emergencies (n = 19)

During emergencies, VHA and agency staff described following their own organization’s protocols and communicating with each other only on a case-by-case basis rather than through formal or systematic channels and had little knowledge of their counterpart’s emergency protocols. Beyond patient care, there was no evidence of information sharing between VHA and agency staff. Regarding sharing information with their local community, an HBPC Program Director said, “it’s almost like the VHA had become siloed” and operated on its own without engaging with community health systems or emergency managers.

Beyond the guidance provided by state departments of public health, HHAs described collaborating with other agencies in their network and relying on their informal professional network to manage the volume of information and updates they followed during emergencies like the COVID-19 pandemic. One agency administrator did not frequently communicate with VHA partners during the pandemic but explained that the local public health department helped work through challenges. However, “we realized pretty quickly they were overloaded and there was only so much they could do.” The agency administrator turned to a “sister agency” and local hospitals, noting, “Wherever you have connections in the field or in the industry, you know you’re going to reach out to people for guidance on policies and… protocol.”

Opportunities for Extending VHA Resources to the Community (n = 16)

All VHA emergency managers were receptive to extending support to community-based HCPS and, in some cases, felt strongly that they were an essential part of veterans’ care networks. Emergency managers offered examples for how they supportedcommunity-based HCPs, such as helping those in the VAMC medical foster home program develop and evaluate emergency plans. Many said they had not explicitly considered HHAs before (Appendix).

Emergency managers also described how supporting community-based HCPs could be considered within the scope of the VHA role and mission, specifically the Fourth Mission. “I think that we should be making our best effort to make sure that we’re also providing that same level [of protection] to the people taking care of the veteran [as our VHA staff],” an emergency manager said. “It’s our responsibility to provide the best for the staff that are going into those homes to take care of that patient.”

In many cases, emergency managers had already developed practical tools that could be easily shared outside the VHA, including weather alerts, trainings, emergency plan templates, and lists of community resources and shelters (Figure 2). A number of these examples built on existing communication channels. One emergency manager said that the extension of resources could be an opportunity to decrease the perceived isolation of home health care workers through regular training for agencies that are providing health care aides, so that they know that “some bigger folks are keeping an eye on it.”

On the agency side, participants noted that some HHAs could benefit more from support than others. While some agencies are well staffed and have good protocols and keep up to date, “There are smaller agencies, agencies that are starting up that may not have the resources to just disseminate all the information. Those are the agencies [that] could well benefit from the VHA,” an HBPC medical director explained. Agency administrators suggested several areas where they would welcome support, including a deeper understanding of available community resources and access to PPE for staff. Regarding informational resources, an administrator said, “Anytime we can get information, it’s good to have it come to you and not always have to go out searching for it.”

Barriers and Facilitators to Partnering With Community Agencies (n = 16)

A primary barrier regarding resource sharing was potential misalignment between each organization’s policies. HHAs followed state and federal public health guidelines, which sometimes differed from VHA policies. Given that agencies care for both VHA and non-VHA clients, questions also arose around how agencies would prioritize information from the VHA, if they were already receiving information from other sources. When asked about information sharing, both VHA staff and agencies agreed staff time to support any additional activities should be weighed against the value of the information gained.

Six participants also shared that education around emergency preparedness could be an opportunity to bridge gaps between VAMCs and their surrounding communities. One local Chief of Community Care noted, “Any opportunity to just give information is going to make it a lot better for the veteran patient … to have something that’s a little more robust.”

Two emergency managers noted the need to be sensitive in the way they engaged with partners, respecting and building on the work that agencies were already doing in this area to ensure VHA was seen as a trusted partner and resource rather than trying to impose new policies or rules on community-based HCPs. “I know that like all leadership in various organizations, there’s a little bit of bristling going on when other people try and tell them what to do,” an HBPC medical director said. “However, if it is established that as a sort of greater level like a state level or a federal level, that VHA can be a resource. I think that as long as that’s recognized by their own professional organizations within each state, then I think that that would be a tremendous advantage to many agencies.”

In terms of sharing physical resources, emergency managers raised concerns around potential liability, although they also acknowledged this issue was important enough to think about potential workarounds. As one emergency manager said, “I want to know that my PPE is not compromised in any way shape or form and that I am in charge of that PPE, so to rely upon going to a home and hoping that [the PPE] wasn’t compromised … would kind of make me a little uneasy.” This emergency manager suggested possible solutions, such as creating a sealed PPE package to give directly to an aide.

Discussion

As the prevalence of climate-related disasters increases, the need to ensure the safety and independence of older adults during emergencies grows more urgent. Health systems must think beyond the direct services they provide and consider the community resources upon which their patients rely. While relationships did not formally exist between VHA emergency managers and community home health HCPs in the sample analyzed in this article, there is precedent and interest in supporting contracted home health agencies caring for veterans in the community. Although not historically part of the VA Fourth Mission, creating a pipeline of support for contracted HHAs by leveraging existing relationships and resources can potentially strengthen its mission to protect older veterans in emergencies, help them age safely in place, and provide a model for health systems to collaborate with community-based HCPs around emergency planning and response (Figure 3).²³

Existing research on the value of health care coalitions highlights the need for established and growing partnerships with a focus on ensuring they are value-added, which echoes concerns we heard in interviews.²⁴ Investment in community partnerships not only includes sharing supplies but also relying on bidirectional support that can be a trusted form of timely information.^1,25 The findings in this study exhibit strong communication practices within the VHA during periods of nonemergency and underscore the untapped value of the pre-existing relationship between VAMCs and their contracted HHAs as an area of potential growth for health care coalitions.

Sharing resources in a way that does not put new demands on partners contributes to the sustainability and value-added nature of coalitions. Examples include establishing new low-investment practices (ie, information sharing) that support capacity and compliance with existing requirements rather than create new responsibilities for either member of the coalition. The relationship between the VHA emergency managers and the VHA HBPC program can act as a guide. The emergency managers interviewed for this study are currently engaged with HBPC programs and therefore understand the needs of homebound older adults and their caregivers. Extending the information already available to the HBPC teams via existing channels strengthens workforce practices and increased security for the shared patient, even without direct relationships between emergency managers and agencies. It is important to understand the limitations of these practices, including concerns around conflicting federal and state mandates, legal concerns around the liability of sharing physical resources (such as PPE), and awareness that the objective is not for the VHA to increase burdens (eg, increasing compliance requirements) but rather to serve as a resource for a mutual population in a shared community.

Offering training and practical resources to HHA home health care workers can help them meet disaster preparedness requirements. This is particularly important considering the growing home care workforce shortages, a topic mentioned by all HBPC and community care participants interviewed for this study.^26,27 Home health care workers report feeling underprepared and isolated while on the job in normal conditions, a sentiment exacerbated by the COVID-19 pandemic.^3,10 Supporting these individuals may help them feel more prepared and connected to their work, improving stability and quality of care.

While these issues are priorities within the VHA, there is growing recognition at the state and federal level of the importance of including older adults and their HCPs in disaster preparedness and response.^5,28 The US Department of Health and Human Services, for example, includes older adults and organizations that serve them on its National Advisory Committee on Seniors and Disasters. The Senate version of the 2023 reauthorization of the Pandemic and All-Hazards Preparedness and Response Act included specific provisions to support community-dwelling older adults and people with disabilities, incorporating funding for community organizations to support continuity of services and avoid institutionalization in an emergency.²⁹ Other proposed legislation includes the Real Emergency Access for Aging and Disability Inclusion for Disasters Act, which would ensure the needs of older adults and people with disabilities are explicitly included in all phases of emergency planning and response.³⁰

The VHA expansion of the its VEText program to include disaster response is an effort to more efficiently extend outreach to older and vulnerable patients who are veterans.³¹ Given these growing efforts, the VHA and other health systems have an opportunity to expand internal emergency preparedness efforts to ensure the health and safety of individuals living in the community.

Limitations

VISN 2 has been a target of terrorism and other disasters. In addition to the sites being initially recruited for their strong emergency management protocols, this context may have biased respondents who are favorable to extending their resources into the community. At the time of recruitment, contracted HHAs were still experiencing staff shortages due to the COVID-19 pandemic, which limited the ability of agency staff to participate in interviews. Additionally, while the comprehensive exploration of VISN 2 facilities allows for confidence of the organizational structures described, the qualitative research design and small study sample, the study findings cannot be immediately generalized to all VISNs.

Conclusions

Many older veterans increasingly rely on home health care workers to age safely. The VHA, as a large national health care system and leader in emergency preparedness, could play an important role in supporting home health care workers and ameliorating their sense of isolation during emergencies and natural disasters. Leveraging existing resources and relationships may be a low-cost, low-effort opportunity to build higher-level interventions that support the needs of patients. Future research and work in this field, including the authors’ ongoing work, will expand agency participation and engage agency staff in conceptualizing pilot projects to ensure they are viable and feasible for the field.

As large-scale natural disasters become more common, health care coalitions and the engagement of health systems with local, state, and federal public health departments have effectively bolstered communities’ resilience via collective sharing and distribution of resources.¹ These resources may include supplies and the dissemination of emergency information, education, and training.² The COVID-19 pandemic demonstrated that larger health care systems including hospital networks and nursing homes are better connected to health care coalition resources than smaller, independent systems, such as community home health agencies.³ This leaves some organizations on their own to meet requirements that maintain continuity of care and support their patients and staff throughout a natural disaster.

Home health care workers play important roles in the care of older adults.⁴ Older adults experience high levels of disability and comorbidities that put them at risk during emergencies; they often require support from paid, family, and neighborhood caregivers to live independently.⁵ More than 9.3 million US adults receive paid care from 2.6 million home health care workers (eg, home health aides and personal care assistants).⁶ Many of these individuals are hired through small independent home health agencies (HHAs), while others may work directly for an individual. When neighborhood resources and family caregiving are disrupted during emergencies, the critical services these workers administer become even more essential to ensuring continued access to medical care and social services.

The importance of these services was underscored by the Centers for Medicare and Medicaid Services 2017 inclusion of HHAs in federal emergency preparedness guidelines.^7,8 The fractured and decentralized nature of the home health care industry means many HHAs struggle to maintain continuous care during emergencies and protect their staff. HHAs, and health care workers in the home, are often isolated, under-resourced, and disconnected from broader emergency planning efforts. Additionally, home care jobs are largely part-time, unstable, and low paying, making the workers themselves vulnerable during emergencies.^3,9-13

This is a significant issue for the Veterans Health Administration (VHA), which annually purchases 10.5 million home health care worker visits for 150,000 veterans from community-based HHAs to enable those individuals to live independently. Figure 1 illustrates the existing structure of directly provided and contracted VHA services for community-dwelling veterans, highlighting the circle of care around the veteran.^8,9 Home health care workers anchored health care teams during the COVID-19 pandemic, observing and reporting on patients’ well-being to family caregivers, primary care practitioners, and HHAs. They also provided critical emotional support and companionship to patients isolated from family and friends.⁹ These workers also exposed themselves and their families to considerable risk and often lacked the protection afforded by personal protective equipment (PPE) in accordance with infection prevention guidance.^3,12

Through a combination of its national and local health care networks, the VHA has a robust and well-positioned emergency infrastructure to supportcommunity-dwelling older adults during disasters.¹⁴ This network is supported by the VHA Office of Emergency Management, which shares resources and guidance with local emergency managers at each facility as well as individual programs such as the VHA Home Based Primary Care (HBPC) program, which provides 38,000 seriously ill veterans with home medical visits.¹⁵ Working closely with their local and national hospital networks and emergency managers, individual VHA HBPC programs were able to maintain the safety of staff and continuity of care for patients enrolled in HBPC by rapidly administering COVID-19 vaccines to patients, caregivers, and staff, and providing emergency assistance during the 2017 hurricane season.^16,17 These efforts were successful because HBPC practitioners and their patients, had access to a level of emergency-related information, resources, and technology that are often out of reach for individual community-based health care practitioners (HCPs). The US Department of Veterans Affairs (VA) also supports local communities through its Fourth Mission, which provides emergency resources to non-VHA health care facilities (ie, hospitals and nursing homes) during national emergencies and natural disasters.¹⁷ Although there has been an expansion in the definition of shared resources, such as extending behavioral health support to local communities, the VHA has not historically provided these resources to HHAs.¹⁴

This study examines opportunities to leverage VHA emergency management resources to support contracted HHAs and inform other large health system emergency planning efforts. The findings from the exploratory phase are described in this article. We interviewed VHA emergency managers, HBPC and VA staff who coordinate home health care worker services, as well as administrators at contracted HHAs within a Veterans Integrated Services Network (VISN). These findings will inform the second (single-site pilot study) and third (feasibility study) phases. Our intent was to (1) better understand the relationships between VA medical centers (VAMCs) and their contracted HHAs; (2) identify existing VHA emergency protocols to support community-dwelling older adults; and (3) determine opportunities to build on existing infrastructure and relationships to better support contracted HHAs and their staff in emergencies.

Methods

The 18 VISNs act as regional systems of care that are loosely connected to better meet local health needs and maximize access to care. This study was conducted at 6 of 9 VAMCs within VISN 2, the New York/New Jersey VHA Health Care Network.¹⁸ VAMCs that serve urban, rural, and mixed urban/rural catchment areas were included.

Each VAMC has an emergency management program led by an emergency manager, an HBPC program led by a program director and medical director, and a community care or purchased care office that has a liaison who manages contracted home health care worker services. The studyfocused on HBPC programs because they are most likely to interact with veterans’ home health care workers in the home and care for community-dwelling veterans during emergencies. Each VHA also contracts with a series of local HHAs that generally have a dedicated staff member who interfaces with the VHA liaison. Our goal was to interview ≥ 1 emergency manager, ≥ 1 HBPC team member, ≥ 1 community care staff person, and ≥ 1 contracted home health agency administrator at each site to gain multiple perspectives from the range of HCPs serving veterans in the community.

Recruitment and Data Collection

The 6 sites were selected in consultation with VISN 2 leadership for their strong HBPC and emergency management programs. To recruit respondents, we contacted VISN and VAMC leads and used our professional networks to identify a sample of multidisciplinary individuals who represent both community care and HBPC programs who were contacted via email.

Since each VAMC is organized differently, we utilized a snowball sampling approach to identify the appropriate contacts.¹⁹ At the completion of each interview, we asked the participant to suggest additional contacts and introduce us to any remaining stakeholders (eg, the emergency manager) at that site or colleagues at other VISN facilities. Because roles vary among VAMCs, we contacted the person who most closely resembled the identified role and asked them to direct us to a more appropriate contact, if necessary. We asked community care managers to identify 1 to 2 agencies serving the highest volume of patients who are veterans at their site and requested interviews with those liaisons. This resulted in the recruitment of key stakeholders from 4 teams across the 6 sites (Table).

A semistructured interview guide was jointly developed based on constructs of interest, including relationships within VAMCs and between VAMCs and HHAs; existing emergency protocols and experience during disasters; and suggestions and opportunities for supporting agencies during emergencies and potential barriers. Two researchers (TWL and EF) who were trained in qualitative methods jointly conducted interviews using the interview guide, with 1 researcher leading and another taking notes and asking clarifying questions.

Interviews were conducted virtually via Microsoft Teams with respondents at their work locations between September 2022 and January 2023. Interviews were audio recorded and transcribed and 2 authors (TWL and ESO) reviewed transcripts for accuracy. Interviews averaged 47 minutes in length (range, 20-59).

The study was reviewed and determined to be exempt by institutional review boards at the James J. Peters VAMC and Greater Los Angeles VAMC. We asked participants for verbal consent to participate and preserved their confidentiality.

Analysis

Data were analyzed via an inductive approach, which involves drawing salient themes rather than imposing preconceived theories.²⁰ Three researchers (TWL, EF, and ES) listened to and discussed 2 staff interviews and tagged text with specific codes (eg, communication between the VHA and HHA, internal communication, and barriers to case fulfillment) so the team could selectively return to the interview text for deeper analysis, allowing for the development of a final codebook. The project team synthesized the findings to identify higher-level themes, drawing comparisons across and within the respondent groups, including within and between health care systems. Throughout the analysis, we maintained analytic memos, documented discussions, and engaged in analyst triangulation to ensure trustworthiness.^21,22 To ensure the analysis accurately reflected the participants’ understanding, we held 2 virtual member-checking sessions with participants to share preliminary findings and conclusions and solicit feedback. Analysis was conducted using ATLAS.ti version 20.

Results

VHA-based participants described internal emergency management systems that are deployed during a disaster to support patients and staff. Agency participants described their own internal emergency management protocols. Respondents discussed how and when the 2 intersected, as well as opportunities for future mutual support. The analysis identified several themes: (1) relationships between VAMC teams; (2) relationships between VHA and HHAs; (3) VHA and agencies responses during emergencies; (4) receptivity and opportunities for extending VHA resources into the community; and (5) barriers and facilitators to deeper engagement.

Relationships Within VHA (n = 17)

Staff at all VHA sites described close relationships between the internal emergency management and HBPC teams. HBPC teams identified patients who were most at risk during emergencies to triage those with the highest medical needs (eg, patients dependent on home infusion, oxygen, or electronic medical devices) and worked alongside emergency managers to develop plans to continue care during an emergency. HBPC representatives were part of their facilities’ local emergency response committees. Due to this close collaboration, VHA emergency managers were familiar with the needs of homebound veterans and caregivers. “I invite our [HBPC] program manager to attend [committee] meetings and … they’re part of the EOC [emergency operations center]," an emergency manager said. “We work together and I’m constantly in contact with that individual, especially during natural disasters and so forth, to ensure that everybody’s prepared in the community.”

On the other hand, community caremanagers—who described frequent interactions with HBPC teams, largely around coordinating and managing non-VHA home care services—were less likely to have direct relationships with their facility emergency managers. For example, when asked if they had a relationship with their emergency manager, a community care manager admitted, “I [only] know who he is.” They also did not report having structured protocols for veteran outreach during emergencies, “because all those veterans who are receiving [home health care worker] services also belong to a primary care team,” and considered the outreach to be the responsibility of the primary care team and HHA.

Relationships Between the VHA and HHAs (n = 17)

Communication between VAMCs and contracted agencies primarily went through community care managers, who described established long-term relationships with agency administrators. Communication was commonly restricted to operational activities, such as processing referrals and occasional troubleshooting. According to a community care manager most communication is “why haven’t you signed my orders?” There was a general sense from participants that communication was promptly answered, problems were addressed, and professional collegiality existed between the agencies as patients were referred and placed for services. One community care manager reported meeting with agencies regularly, noting, “I talk to them pretty much daily.”

If problems arose, community care managers described themselves as “the liaison” between agencies and VHA HCPs who ordered the referrals. This is particularly the case if the agency needed help finding a VHA clinician or addressing differences in care delivery protocols.

Responding During Emergencies (n = 19)

During emergencies, VHA and agency staff described following their own organization’s protocols and communicating with each other only on a case-by-case basis rather than through formal or systematic channels and had little knowledge of their counterpart’s emergency protocols. Beyond patient care, there was no evidence of information sharing between VHA and agency staff. Regarding sharing information with their local community, an HBPC Program Director said, “it’s almost like the VHA had become siloed” and operated on its own without engaging with community health systems or emergency managers.

Beyond the guidance provided by state departments of public health, HHAs described collaborating with other agencies in their network and relying on their informal professional network to manage the volume of information and updates they followed during emergencies like the COVID-19 pandemic. One agency administrator did not frequently communicate with VHA partners during the pandemic but explained that the local public health department helped work through challenges. However, “we realized pretty quickly they were overloaded and there was only so much they could do.” The agency administrator turned to a “sister agency” and local hospitals, noting, “Wherever you have connections in the field or in the industry, you know you’re going to reach out to people for guidance on policies and… protocol.”

Opportunities for Extending VHA Resources to the Community (n = 16)

All VHA emergency managers were receptive to extending support to community-based HCPS and, in some cases, felt strongly that they were an essential part of veterans’ care networks. Emergency managers offered examples for how they supportedcommunity-based HCPs, such as helping those in the VAMC medical foster home program develop and evaluate emergency plans. Many said they had not explicitly considered HHAs before (Appendix).

Emergency managers also described how supporting community-based HCPs could be considered within the scope of the VHA role and mission, specifically the Fourth Mission. “I think that we should be making our best effort to make sure that we’re also providing that same level [of protection] to the people taking care of the veteran [as our VHA staff],” an emergency manager said. “It’s our responsibility to provide the best for the staff that are going into those homes to take care of that patient.”

In many cases, emergency managers had already developed practical tools that could be easily shared outside the VHA, including weather alerts, trainings, emergency plan templates, and lists of community resources and shelters (Figure 2). A number of these examples built on existing communication channels. One emergency manager said that the extension of resources could be an opportunity to decrease the perceived isolation of home health care workers through regular training for agencies that are providing health care aides, so that they know that “some bigger folks are keeping an eye on it.”

On the agency side, participants noted that some HHAs could benefit more from support than others. While some agencies are well staffed and have good protocols and keep up to date, “There are smaller agencies, agencies that are starting up that may not have the resources to just disseminate all the information. Those are the agencies [that] could well benefit from the VHA,” an HBPC medical director explained. Agency administrators suggested several areas where they would welcome support, including a deeper understanding of available community resources and access to PPE for staff. Regarding informational resources, an administrator said, “Anytime we can get information, it’s good to have it come to you and not always have to go out searching for it.”

Barriers and Facilitators to Partnering With Community Agencies (n = 16)

A primary barrier regarding resource sharing was potential misalignment between each organization’s policies. HHAs followed state and federal public health guidelines, which sometimes differed from VHA policies. Given that agencies care for both VHA and non-VHA clients, questions also arose around how agencies would prioritize information from the VHA, if they were already receiving information from other sources. When asked about information sharing, both VHA staff and agencies agreed staff time to support any additional activities should be weighed against the value of the information gained.

Six participants also shared that education around emergency preparedness could be an opportunity to bridge gaps between VAMCs and their surrounding communities. One local Chief of Community Care noted, “Any opportunity to just give information is going to make it a lot better for the veteran patient … to have something that’s a little more robust.”

Two emergency managers noted the need to be sensitive in the way they engaged with partners, respecting and building on the work that agencies were already doing in this area to ensure VHA was seen as a trusted partner and resource rather than trying to impose new policies or rules on community-based HCPs. “I know that like all leadership in various organizations, there’s a little bit of bristling going on when other people try and tell them what to do,” an HBPC medical director said. “However, if it is established that as a sort of greater level like a state level or a federal level, that VHA can be a resource. I think that as long as that’s recognized by their own professional organizations within each state, then I think that that would be a tremendous advantage to many agencies.”

In terms of sharing physical resources, emergency managers raised concerns around potential liability, although they also acknowledged this issue was important enough to think about potential workarounds. As one emergency manager said, “I want to know that my PPE is not compromised in any way shape or form and that I am in charge of that PPE, so to rely upon going to a home and hoping that [the PPE] wasn’t compromised … would kind of make me a little uneasy.” This emergency manager suggested possible solutions, such as creating a sealed PPE package to give directly to an aide.

Discussion

As the prevalence of climate-related disasters increases, the need to ensure the safety and independence of older adults during emergencies grows more urgent. Health systems must think beyond the direct services they provide and consider the community resources upon which their patients rely. While relationships did not formally exist between VHA emergency managers and community home health HCPs in the sample analyzed in this article, there is precedent and interest in supporting contracted home health agencies caring for veterans in the community. Although not historically part of the VA Fourth Mission, creating a pipeline of support for contracted HHAs by leveraging existing relationships and resources can potentially strengthen its mission to protect older veterans in emergencies, help them age safely in place, and provide a model for health systems to collaborate with community-based HCPs around emergency planning and response (Figure 3).²³

Existing research on the value of health care coalitions highlights the need for established and growing partnerships with a focus on ensuring they are value-added, which echoes concerns we heard in interviews.²⁴ Investment in community partnerships not only includes sharing supplies but also relying on bidirectional support that can be a trusted form of timely information.^1,25 The findings in this study exhibit strong communication practices within the VHA during periods of nonemergency and underscore the untapped value of the pre-existing relationship between VAMCs and their contracted HHAs as an area of potential growth for health care coalitions.

Sharing resources in a way that does not put new demands on partners contributes to the sustainability and value-added nature of coalitions. Examples include establishing new low-investment practices (ie, information sharing) that support capacity and compliance with existing requirements rather than create new responsibilities for either member of the coalition. The relationship between the VHA emergency managers and the VHA HBPC program can act as a guide. The emergency managers interviewed for this study are currently engaged with HBPC programs and therefore understand the needs of homebound older adults and their caregivers. Extending the information already available to the HBPC teams via existing channels strengthens workforce practices and increased security for the shared patient, even without direct relationships between emergency managers and agencies. It is important to understand the limitations of these practices, including concerns around conflicting federal and state mandates, legal concerns around the liability of sharing physical resources (such as PPE), and awareness that the objective is not for the VHA to increase burdens (eg, increasing compliance requirements) but rather to serve as a resource for a mutual population in a shared community.

Offering training and practical resources to HHA home health care workers can help them meet disaster preparedness requirements. This is particularly important considering the growing home care workforce shortages, a topic mentioned by all HBPC and community care participants interviewed for this study.^26,27 Home health care workers report feeling underprepared and isolated while on the job in normal conditions, a sentiment exacerbated by the COVID-19 pandemic.^3,10 Supporting these individuals may help them feel more prepared and connected to their work, improving stability and quality of care.

While these issues are priorities within the VHA, there is growing recognition at the state and federal level of the importance of including older adults and their HCPs in disaster preparedness and response.^5,28 The US Department of Health and Human Services, for example, includes older adults and organizations that serve them on its National Advisory Committee on Seniors and Disasters. The Senate version of the 2023 reauthorization of the Pandemic and All-Hazards Preparedness and Response Act included specific provisions to support community-dwelling older adults and people with disabilities, incorporating funding for community organizations to support continuity of services and avoid institutionalization in an emergency.²⁹ Other proposed legislation includes the Real Emergency Access for Aging and Disability Inclusion for Disasters Act, which would ensure the needs of older adults and people with disabilities are explicitly included in all phases of emergency planning and response.³⁰

The VHA expansion of the its VEText program to include disaster response is an effort to more efficiently extend outreach to older and vulnerable patients who are veterans.³¹ Given these growing efforts, the VHA and other health systems have an opportunity to expand internal emergency preparedness efforts to ensure the health and safety of individuals living in the community.

Limitations

VISN 2 has been a target of terrorism and other disasters. In addition to the sites being initially recruited for their strong emergency management protocols, this context may have biased respondents who are favorable to extending their resources into the community. At the time of recruitment, contracted HHAs were still experiencing staff shortages due to the COVID-19 pandemic, which limited the ability of agency staff to participate in interviews. Additionally, while the comprehensive exploration of VISN 2 facilities allows for confidence of the organizational structures described, the qualitative research design and small study sample, the study findings cannot be immediately generalized to all VISNs.

Conclusions

Many older veterans increasingly rely on home health care workers to age safely. The VHA, as a large national health care system and leader in emergency preparedness, could play an important role in supporting home health care workers and ameliorating their sense of isolation during emergencies and natural disasters. Leveraging existing resources and relationships may be a low-cost, low-effort opportunity to build higher-level interventions that support the needs of patients. Future research and work in this field, including the authors’ ongoing work, will expand agency participation and engage agency staff in conceptualizing pilot projects to ensure they are viable and feasible for the field.

As large-scale natural disasters become more common, health care coalitions and the engagement of health systems with local, state, and federal public health departments have effectively bolstered communities’ resilience via collective sharing and distribution of resources.¹ These resources may include supplies and the dissemination of emergency information, education, and training.² The COVID-19 pandemic demonstrated that larger health care systems including hospital networks and nursing homes are better connected to health care coalition resources than smaller, independent systems, such as community home health agencies.³ This leaves some organizations on their own to meet requirements that maintain continuity of care and support their patients and staff throughout a natural disaster.

Home health care workers play important roles in the care of older adults.⁴ Older adults experience high levels of disability and comorbidities that put them at risk during emergencies; they often require support from paid, family, and neighborhood caregivers to live independently.⁵ More than 9.3 million US adults receive paid care from 2.6 million home health care workers (eg, home health aides and personal care assistants).⁶ Many of these individuals are hired through small independent home health agencies (HHAs), while others may work directly for an individual. When neighborhood resources and family caregiving are disrupted during emergencies, the critical services these workers administer become even more essential to ensuring continued access to medical care and social services.

The importance of these services was underscored by the Centers for Medicare and Medicaid Services 2017 inclusion of HHAs in federal emergency preparedness guidelines.^7,8 The fractured and decentralized nature of the home health care industry means many HHAs struggle to maintain continuous care during emergencies and protect their staff. HHAs, and health care workers in the home, are often isolated, under-resourced, and disconnected from broader emergency planning efforts. Additionally, home care jobs are largely part-time, unstable, and low paying, making the workers themselves vulnerable during emergencies.^3,9-13

This is a significant issue for the Veterans Health Administration (VHA), which annually purchases 10.5 million home health care worker visits for 150,000 veterans from community-based HHAs to enable those individuals to live independently. Figure 1 illustrates the existing structure of directly provided and contracted VHA services for community-dwelling veterans, highlighting the circle of care around the veteran.^8,9 Home health care workers anchored health care teams during the COVID-19 pandemic, observing and reporting on patients’ well-being to family caregivers, primary care practitioners, and HHAs. They also provided critical emotional support and companionship to patients isolated from family and friends.⁹ These workers also exposed themselves and their families to considerable risk and often lacked the protection afforded by personal protective equipment (PPE) in accordance with infection prevention guidance.^3,12

Through a combination of its national and local health care networks, the VHA has a robust and well-positioned emergency infrastructure to supportcommunity-dwelling older adults during disasters.¹⁴ This network is supported by the VHA Office of Emergency Management, which shares resources and guidance with local emergency managers at each facility as well as individual programs such as the VHA Home Based Primary Care (HBPC) program, which provides 38,000 seriously ill veterans with home medical visits.¹⁵ Working closely with their local and national hospital networks and emergency managers, individual VHA HBPC programs were able to maintain the safety of staff and continuity of care for patients enrolled in HBPC by rapidly administering COVID-19 vaccines to patients, caregivers, and staff, and providing emergency assistance during the 2017 hurricane season.^16,17 These efforts were successful because HBPC practitioners and their patients, had access to a level of emergency-related information, resources, and technology that are often out of reach for individual community-based health care practitioners (HCPs). The US Department of Veterans Affairs (VA) also supports local communities through its Fourth Mission, which provides emergency resources to non-VHA health care facilities (ie, hospitals and nursing homes) during national emergencies and natural disasters.¹⁷ Although there has been an expansion in the definition of shared resources, such as extending behavioral health support to local communities, the VHA has not historically provided these resources to HHAs.¹⁴

This study examines opportunities to leverage VHA emergency management resources to support contracted HHAs and inform other large health system emergency planning efforts. The findings from the exploratory phase are described in this article. We interviewed VHA emergency managers, HBPC and VA staff who coordinate home health care worker services, as well as administrators at contracted HHAs within a Veterans Integrated Services Network (VISN). These findings will inform the second (single-site pilot study) and third (feasibility study) phases. Our intent was to (1) better understand the relationships between VA medical centers (VAMCs) and their contracted HHAs; (2) identify existing VHA emergency protocols to support community-dwelling older adults; and (3) determine opportunities to build on existing infrastructure and relationships to better support contracted HHAs and their staff in emergencies.

Methods

The 18 VISNs act as regional systems of care that are loosely connected to better meet local health needs and maximize access to care. This study was conducted at 6 of 9 VAMCs within VISN 2, the New York/New Jersey VHA Health Care Network.¹⁸ VAMCs that serve urban, rural, and mixed urban/rural catchment areas were included.

Each VAMC has an emergency management program led by an emergency manager, an HBPC program led by a program director and medical director, and a community care or purchased care office that has a liaison who manages contracted home health care worker services. The studyfocused on HBPC programs because they are most likely to interact with veterans’ home health care workers in the home and care for community-dwelling veterans during emergencies. Each VHA also contracts with a series of local HHAs that generally have a dedicated staff member who interfaces with the VHA liaison. Our goal was to interview ≥ 1 emergency manager, ≥ 1 HBPC team member, ≥ 1 community care staff person, and ≥ 1 contracted home health agency administrator at each site to gain multiple perspectives from the range of HCPs serving veterans in the community.

Recruitment and Data Collection

The 6 sites were selected in consultation with VISN 2 leadership for their strong HBPC and emergency management programs. To recruit respondents, we contacted VISN and VAMC leads and used our professional networks to identify a sample of multidisciplinary individuals who represent both community care and HBPC programs who were contacted via email.

Since each VAMC is organized differently, we utilized a snowball sampling approach to identify the appropriate contacts.¹⁹ At the completion of each interview, we asked the participant to suggest additional contacts and introduce us to any remaining stakeholders (eg, the emergency manager) at that site or colleagues at other VISN facilities. Because roles vary among VAMCs, we contacted the person who most closely resembled the identified role and asked them to direct us to a more appropriate contact, if necessary. We asked community care managers to identify 1 to 2 agencies serving the highest volume of patients who are veterans at their site and requested interviews with those liaisons. This resulted in the recruitment of key stakeholders from 4 teams across the 6 sites (Table).

A semistructured interview guide was jointly developed based on constructs of interest, including relationships within VAMCs and between VAMCs and HHAs; existing emergency protocols and experience during disasters; and suggestions and opportunities for supporting agencies during emergencies and potential barriers. Two researchers (TWL and EF) who were trained in qualitative methods jointly conducted interviews using the interview guide, with 1 researcher leading and another taking notes and asking clarifying questions.

Interviews were conducted virtually via Microsoft Teams with respondents at their work locations between September 2022 and January 2023. Interviews were audio recorded and transcribed and 2 authors (TWL and ESO) reviewed transcripts for accuracy. Interviews averaged 47 minutes in length (range, 20-59).

The study was reviewed and determined to be exempt by institutional review boards at the James J. Peters VAMC and Greater Los Angeles VAMC. We asked participants for verbal consent to participate and preserved their confidentiality.

Analysis

Data were analyzed via an inductive approach, which involves drawing salient themes rather than imposing preconceived theories.²⁰ Three researchers (TWL, EF, and ES) listened to and discussed 2 staff interviews and tagged text with specific codes (eg, communication between the VHA and HHA, internal communication, and barriers to case fulfillment) so the team could selectively return to the interview text for deeper analysis, allowing for the development of a final codebook. The project team synthesized the findings to identify higher-level themes, drawing comparisons across and within the respondent groups, including within and between health care systems. Throughout the analysis, we maintained analytic memos, documented discussions, and engaged in analyst triangulation to ensure trustworthiness.^21,22 To ensure the analysis accurately reflected the participants’ understanding, we held 2 virtual member-checking sessions with participants to share preliminary findings and conclusions and solicit feedback. Analysis was conducted using ATLAS.ti version 20.

Results

VHA-based participants described internal emergency management systems that are deployed during a disaster to support patients and staff. Agency participants described their own internal emergency management protocols. Respondents discussed how and when the 2 intersected, as well as opportunities for future mutual support. The analysis identified several themes: (1) relationships between VAMC teams; (2) relationships between VHA and HHAs; (3) VHA and agencies responses during emergencies; (4) receptivity and opportunities for extending VHA resources into the community; and (5) barriers and facilitators to deeper engagement.

Relationships Within VHA (n = 17)

Staff at all VHA sites described close relationships between the internal emergency management and HBPC teams. HBPC teams identified patients who were most at risk during emergencies to triage those with the highest medical needs (eg, patients dependent on home infusion, oxygen, or electronic medical devices) and worked alongside emergency managers to develop plans to continue care during an emergency. HBPC representatives were part of their facilities’ local emergency response committees. Due to this close collaboration, VHA emergency managers were familiar with the needs of homebound veterans and caregivers. “I invite our [HBPC] program manager to attend [committee] meetings and … they’re part of the EOC [emergency operations center]," an emergency manager said. “We work together and I’m constantly in contact with that individual, especially during natural disasters and so forth, to ensure that everybody’s prepared in the community.”

On the other hand, community caremanagers—who described frequent interactions with HBPC teams, largely around coordinating and managing non-VHA home care services—were less likely to have direct relationships with their facility emergency managers. For example, when asked if they had a relationship with their emergency manager, a community care manager admitted, “I [only] know who he is.” They also did not report having structured protocols for veteran outreach during emergencies, “because all those veterans who are receiving [home health care worker] services also belong to a primary care team,” and considered the outreach to be the responsibility of the primary care team and HHA.

Relationships Between the VHA and HHAs (n = 17)

Communication between VAMCs and contracted agencies primarily went through community care managers, who described established long-term relationships with agency administrators. Communication was commonly restricted to operational activities, such as processing referrals and occasional troubleshooting. According to a community care manager most communication is “why haven’t you signed my orders?” There was a general sense from participants that communication was promptly answered, problems were addressed, and professional collegiality existed between the agencies as patients were referred and placed for services. One community care manager reported meeting with agencies regularly, noting, “I talk to them pretty much daily.”

If problems arose, community care managers described themselves as “the liaison” between agencies and VHA HCPs who ordered the referrals. This is particularly the case if the agency needed help finding a VHA clinician or addressing differences in care delivery protocols.

Responding During Emergencies (n = 19)

During emergencies, VHA and agency staff described following their own organization’s protocols and communicating with each other only on a case-by-case basis rather than through formal or systematic channels and had little knowledge of their counterpart’s emergency protocols. Beyond patient care, there was no evidence of information sharing between VHA and agency staff. Regarding sharing information with their local community, an HBPC Program Director said, “it’s almost like the VHA had become siloed” and operated on its own without engaging with community health systems or emergency managers.

Beyond the guidance provided by state departments of public health, HHAs described collaborating with other agencies in their network and relying on their informal professional network to manage the volume of information and updates they followed during emergencies like the COVID-19 pandemic. One agency administrator did not frequently communicate with VHA partners during the pandemic but explained that the local public health department helped work through challenges. However, “we realized pretty quickly they were overloaded and there was only so much they could do.” The agency administrator turned to a “sister agency” and local hospitals, noting, “Wherever you have connections in the field or in the industry, you know you’re going to reach out to people for guidance on policies and… protocol.”

Opportunities for Extending VHA Resources to the Community (n = 16)

All VHA emergency managers were receptive to extending support to community-based HCPS and, in some cases, felt strongly that they were an essential part of veterans’ care networks. Emergency managers offered examples for how they supportedcommunity-based HCPs, such as helping those in the VAMC medical foster home program develop and evaluate emergency plans. Many said they had not explicitly considered HHAs before (Appendix).

Emergency managers also described how supporting community-based HCPs could be considered within the scope of the VHA role and mission, specifically the Fourth Mission. “I think that we should be making our best effort to make sure that we’re also providing that same level [of protection] to the people taking care of the veteran [as our VHA staff],” an emergency manager said. “It’s our responsibility to provide the best for the staff that are going into those homes to take care of that patient.”

In many cases, emergency managers had already developed practical tools that could be easily shared outside the VHA, including weather alerts, trainings, emergency plan templates, and lists of community resources and shelters (Figure 2). A number of these examples built on existing communication channels. One emergency manager said that the extension of resources could be an opportunity to decrease the perceived isolation of home health care workers through regular training for agencies that are providing health care aides, so that they know that “some bigger folks are keeping an eye on it.”

On the agency side, participants noted that some HHAs could benefit more from support than others. While some agencies are well staffed and have good protocols and keep up to date, “There are smaller agencies, agencies that are starting up that may not have the resources to just disseminate all the information. Those are the agencies [that] could well benefit from the VHA,” an HBPC medical director explained. Agency administrators suggested several areas where they would welcome support, including a deeper understanding of available community resources and access to PPE for staff. Regarding informational resources, an administrator said, “Anytime we can get information, it’s good to have it come to you and not always have to go out searching for it.”

Barriers and Facilitators to Partnering With Community Agencies (n = 16)

A primary barrier regarding resource sharing was potential misalignment between each organization’s policies. HHAs followed state and federal public health guidelines, which sometimes differed from VHA policies. Given that agencies care for both VHA and non-VHA clients, questions also arose around how agencies would prioritize information from the VHA, if they were already receiving information from other sources. When asked about information sharing, both VHA staff and agencies agreed staff time to support any additional activities should be weighed against the value of the information gained.

Six participants also shared that education around emergency preparedness could be an opportunity to bridge gaps between VAMCs and their surrounding communities. One local Chief of Community Care noted, “Any opportunity to just give information is going to make it a lot better for the veteran patient … to have something that’s a little more robust.”

Two emergency managers noted the need to be sensitive in the way they engaged with partners, respecting and building on the work that agencies were already doing in this area to ensure VHA was seen as a trusted partner and resource rather than trying to impose new policies or rules on community-based HCPs. “I know that like all leadership in various organizations, there’s a little bit of bristling going on when other people try and tell them what to do,” an HBPC medical director said. “However, if it is established that as a sort of greater level like a state level or a federal level, that VHA can be a resource. I think that as long as that’s recognized by their own professional organizations within each state, then I think that that would be a tremendous advantage to many agencies.”

In terms of sharing physical resources, emergency managers raised concerns around potential liability, although they also acknowledged this issue was important enough to think about potential workarounds. As one emergency manager said, “I want to know that my PPE is not compromised in any way shape or form and that I am in charge of that PPE, so to rely upon going to a home and hoping that [the PPE] wasn’t compromised … would kind of make me a little uneasy.” This emergency manager suggested possible solutions, such as creating a sealed PPE package to give directly to an aide.

Discussion

As the prevalence of climate-related disasters increases, the need to ensure the safety and independence of older adults during emergencies grows more urgent. Health systems must think beyond the direct services they provide and consider the community resources upon which their patients rely. While relationships did not formally exist between VHA emergency managers and community home health HCPs in the sample analyzed in this article, there is precedent and interest in supporting contracted home health agencies caring for veterans in the community. Although not historically part of the VA Fourth Mission, creating a pipeline of support for contracted HHAs by leveraging existing relationships and resources can potentially strengthen its mission to protect older veterans in emergencies, help them age safely in place, and provide a model for health systems to collaborate with community-based HCPs around emergency planning and response (Figure 3).²³

Existing research on the value of health care coalitions highlights the need for established and growing partnerships with a focus on ensuring they are value-added, which echoes concerns we heard in interviews.²⁴ Investment in community partnerships not only includes sharing supplies but also relying on bidirectional support that can be a trusted form of timely information.^1,25 The findings in this study exhibit strong communication practices within the VHA during periods of nonemergency and underscore the untapped value of the pre-existing relationship between VAMCs and their contracted HHAs as an area of potential growth for health care coalitions.

Sharing resources in a way that does not put new demands on partners contributes to the sustainability and value-added nature of coalitions. Examples include establishing new low-investment practices (ie, information sharing) that support capacity and compliance with existing requirements rather than create new responsibilities for either member of the coalition. The relationship between the VHA emergency managers and the VHA HBPC program can act as a guide. The emergency managers interviewed for this study are currently engaged with HBPC programs and therefore understand the needs of homebound older adults and their caregivers. Extending the information already available to the HBPC teams via existing channels strengthens workforce practices and increased security for the shared patient, even without direct relationships between emergency managers and agencies. It is important to understand the limitations of these practices, including concerns around conflicting federal and state mandates, legal concerns around the liability of sharing physical resources (such as PPE), and awareness that the objective is not for the VHA to increase burdens (eg, increasing compliance requirements) but rather to serve as a resource for a mutual population in a shared community.

Offering training and practical resources to HHA home health care workers can help them meet disaster preparedness requirements. This is particularly important considering the growing home care workforce shortages, a topic mentioned by all HBPC and community care participants interviewed for this study.^26,27 Home health care workers report feeling underprepared and isolated while on the job in normal conditions, a sentiment exacerbated by the COVID-19 pandemic.^3,10 Supporting these individuals may help them feel more prepared and connected to their work, improving stability and quality of care.

While these issues are priorities within the VHA, there is growing recognition at the state and federal level of the importance of including older adults and their HCPs in disaster preparedness and response.^5,28 The US Department of Health and Human Services, for example, includes older adults and organizations that serve them on its National Advisory Committee on Seniors and Disasters. The Senate version of the 2023 reauthorization of the Pandemic and All-Hazards Preparedness and Response Act included specific provisions to support community-dwelling older adults and people with disabilities, incorporating funding for community organizations to support continuity of services and avoid institutionalization in an emergency.²⁹ Other proposed legislation includes the Real Emergency Access for Aging and Disability Inclusion for Disasters Act, which would ensure the needs of older adults and people with disabilities are explicitly included in all phases of emergency planning and response.³⁰

The VHA expansion of the its VEText program to include disaster response is an effort to more efficiently extend outreach to older and vulnerable patients who are veterans.³¹ Given these growing efforts, the VHA and other health systems have an opportunity to expand internal emergency preparedness efforts to ensure the health and safety of individuals living in the community.

Limitations

VISN 2 has been a target of terrorism and other disasters. In addition to the sites being initially recruited for their strong emergency management protocols, this context may have biased respondents who are favorable to extending their resources into the community. At the time of recruitment, contracted HHAs were still experiencing staff shortages due to the COVID-19 pandemic, which limited the ability of agency staff to participate in interviews. Additionally, while the comprehensive exploration of VISN 2 facilities allows for confidence of the organizational structures described, the qualitative research design and small study sample, the study findings cannot be immediately generalized to all VISNs.

Conclusions

Many older veterans increasingly rely on home health care workers to age safely. The VHA, as a large national health care system and leader in emergency preparedness, could play an important role in supporting home health care workers and ameliorating their sense of isolation during emergencies and natural disasters. Leveraging existing resources and relationships may be a low-cost, low-effort opportunity to build higher-level interventions that support the needs of patients. Future research and work in this field, including the authors’ ongoing work, will expand agency participation and engage agency staff in conceptualizing pilot projects to ensure they are viable and feasible for the field.

About 1 in 10 Americans have diabetes mellitus (DM), of which about 90% to 95% are diagnosed with type 2 DM (T2DM) and veterans are disproportionately affected.^1,2 About 25% enrolled in the Veterans Health Administration (VHA) have T2DM, which has been attributed to exposure to herbicides (eg, Agent Orange), decreased physical activity resulting from past physical strain, chronic pain, and other physical limitations resulting from military service.^3-5

Pharmacologic management of DM is guided by the effectiveness of lifestyle interventions and comorbid diagnoses. Current DM management guidelines recommend patients with comorbid atherosclerotic cardiovascular disease, chronic kidney disease, or congestive heart failure receive first-line diabetes therapy with a sodium-glucose cotransporter-2 (SGLT-2) inhibitor or glucagon-like peptide-1 receptor (GLP-1) agonist.

Metformin remains a first-line pharmacologic option for the treatment of T2DM with the goal of achieving glycemic management when lifestyle interventions are insufficient.^6,7 Newer antihyperglycemic therapies have been studied as adjunct therapy to metformin. However, there is limited literature comparing metformin directly to other medication classes for the treatment of T2DM.^8-13 A systematic review of treatment-naive patients found HbA_1c reductions were similar whether patients received metformin vs an SGLT-2 inhibitor, GLP-1 agonist, sulfonylurea, or thiazolidinedione monotherapy.¹⁰ The analysis found dipeptidyl-peptidase-4 (DPP-4) inhibitors had inferior HbA_1c reduction compared to metformin.¹⁰ A Japanese systematic review compared metformin to thiazolidinediones, sulfonylureas, glinides, DPP-4 inhibitors, α-glucosidase inhibitors, or SGLT-2 inhibitors for ≥ 12 weeks but found no statistically significant differences in HbA_1c reduction.¹¹ The AWARD-3 trial compared once-weekly dulaglutide to metformin in treatment-experienced patients and found greater improvement in HbA_1c and achievement of HbA_1c goal with dulaglutide.¹³ While these studies show some comparisons of metformin to alternative pharmacologic therapy, researchers have not looked at what happens to patients’ HbA_1c levels when an event, such as a recall, prompts a rapid change to a different antihyperglycemic agent.

On May 28, 2020, the US Food and Drug Administration (FDA) asked 5 pharmaceutical companies to voluntarily recall certain formulations of metformin. This action was taken when FDA testing revealed unacceptably high levels of N-Nitrosodimethylamine, a probable carcinogen.¹⁴ This FDA recall of metformin extended-release, referred to as metformin sustained-action (SA) within the VHA electronic medication file but the same type of formulation, prompted clinicians to revisit and revise the pharmacologic regimens of patients taking the drug. Because of the paucity of head-to-head trials comparing metformin with newer alternative antihyperglycemic therapies, the effect of treatment change was unknown. In response, we aimed to establish a data registry within Veterans Integrated Service Network (VISN) 6.

Registry Development

The VISN 6 registry was established to gather long-term, observational, head-to-head data that would allow review of HbA_1c levels before and after the recall, as well as HbA_1c levels broken down by the agent that patients were switched to after the recall. Another goal was to explore prescribing trends following the recall.

Data Access Request Tracker approval was obtained and a US Department of Veterans Affairs (VA) Information and Computing Infrastructure workspace was developed to host the registry data. The research cohort was established from this data, and the registry framework was finalized using Structured Query Language (SQL). The SQL coding allows for recurring data updates for all individuals within the cohort including date of birth, race, sex, ethnicity, VHA facility visited, weight, body mass index, HbA_1c level, creatinine clearance, serum creatinine, antihyperglycemic medication prescriptions, adverse drug reactions, medication adherence (as defined by ≥ 80% refill history), and hospitalizations related to diabetes. For the purposes of this initial analysis, registry data included demographics, diabetes medications, and HbA_1c results.

METHODS

This study was a concurrent, observational, multicenter, registry-based study conducted at the Western North Carolina VA Health Care System (WNCVAHCS). The study was approved by the WNCVAHCS institutional review board and research and development committees.

All patients aged ≥ 18 years with T2DM and receiving health care from VISN 6 facilities who had an active metformin SA prescription on, and 1 year prior to, June 1, 2020 (the initial date VHA began implementing the FDA metformin recall) were entered into the registry. Data from 1 year prior were collected to provide a baseline. Veterans were excluded if they received metformin SA for any indication other than T2DM, there was no pre- or postrecall HbA_1c measurement, or death. We included 15,594 VISN 6 veterans.

Registry data were analyzed to determine whether a significant change in HbA_1c level occurred after the metformin recall and in response to alternative agents being prescribed. Data from veterans who met all inclusion criteria were assessed during the year before and after June 1, 2020. Demographic data were analyzed using frequency and descriptive statistics. The Shapiro Wilkes test was performed, and data were found to be nonparametric; therefore the Wilcoxon signed-rank test was used to evaluate the hypothesis that HbA_1c levels were not impacted by the recall.

Our sample size allowed us to create exact matched pairs of 9130 individuals and utilize rank-biserial correlation to establish effect size. Following this initial population-level test, we constructed 2 models. The first, a linear mixed-effects model, focused solely on the interaction effects between the pre- and postrecall periods and various medication classes on HbA_1c levels. Second, we constructed a random-effects within-between model (REWB) to evaluate the impact ofmedication classes and demographic variables. Statistical significance was measured at P < .05 with conservative power at .90. The effect size was set to 1.0, reflecting a minimum clinically important difference. Literature establishes 0.5 as a modest level of HbA_1c improvement and 1.0 as a clinically significant improvement.

RESULTS

Preliminary results included 15,594 veterans who received a metformin SA prescription as of June 1, 2020 from VISN 6 facilities; 15,392 veterans had a drug exposure end on June 1, 2020, indicating their standard therapy of metformin SA was discontinued following the FDA recall. Two hundred and two veterans were excluded from the registry because they continued to receive metformin SA from existing stock at a VISN6 facility. After identifying veterans with data for 1 year prior (June 1, 2019) to the index date and 1 year after (June 1, 2021) the study population was adjusted to 9130. The population was predominantly males aged> 60 years. Roughly 55% of the registry identified as White and nearly 40% as Black, and 2% indentified as Hispanic (Table 1).

Wilcoxon Signed-Rank Test

We created exact pairs by iterating the data and finding the closest measurements for each patient before and after the recall. This has the advantage over averaging a patient’s pre- and post-HbA_1c levels, as it allows for a rank-biserial correlation. Using the nonparametric Wilcoxon signed-rank test, V was 20,100,707 (P < .001), indicating a significant effect. The –0.29 rank-biserial correlation, which was computed to assess the effect size of the recall, suggests that the median HbA_1c level was lower postrecall vs prerecall. The magnitude of the correlation suggests a moderate effect size, and while the recall had a noticeable impact at a population level, it was not extreme (Table 2).

Linear Mixed-Effects Model

The binary variable for medication class exposure suggests the use of a logit link function for binary outcomes within the multilevel modeling framework.¹⁵ We employed a linear mixed-effects model to investigate the impact that switching from metformin SA to other T2DM medications had on HbA_1c levels. The model was adjusted for patient-specific random effects and included interaction terms between the recall period (before and after) and the usage of different T2DM medications.

Model Fit and Random Effects

The model demonstrated a residual maximum likelihood criterion of 100,219.7, indicating its fit to the data. Notably, the random effects analysis revealed a substantial variability in baseline HbA_1c levels across patients (SD, 0.94), highlighting the importance of individual differences in DM management. Medication classes with zero or near-zero exposure rate were removed. Due to demographic homogeneity, the model did not converge on demographic variables. Veterans were taking a mean of 1.8 T2DM medications and metformin SA was most common (Table 3).

During the postrecall period, metformin SA remained the most frequently prescribed medication class. This may be attributed to the existence of multiple manufacturers of metformin SA, some of which may not have been impacted by the recall. VISN 6 medical centers could have sought metformin SA outside of the usual procurement path following the recall.

Complex Random Effects Model

We employed a complex REWB model that evaluated the impact of medication classes on HbA_1c levels, accounting for both within and between subject effects of these medications, along with demographic variables (sex, race, and ethnicity) (eAppendix). This model accounts for individual-level changes over time (within-patient effects) and between groups of patients (between-patient effects). This is a more comprehensive model aimed at understanding the broader impact of medications on HbA_1c levels across diverse patient groups.

Most demographic categories did not demonstrate significant effects in this model. Black individuals experienced a slight increase in HbA_1c levels compared with other racial categories that was not statistically significant. However, this model confirms the findings from the linear mixed-effects model that GLP-1 agonists showed a substantial decrease in HbA_1c levels within patients (coefficient –0.5; 95% CI, –0.56 to –0.44; P < .001) and a moderate increase between patients (coefficient, 0.21; 95% CI, 0.12-0.31; P < .001). Additionally, SGLT-2 inhibitors had a notable decrease within patients (coefficient, –0.27; 95% CI, –0.32 to –0.22; P < .001).Another notable finding with our REWB model is insulin usage was associated with high HbA_1c levels, but only between subjects. Long-acting insulin (coefficient, 0.96; 95% CI, 0.90-1.01; P <. 001) and mixed insulin (coefficient, 1.09; 95% CI, 0.94-1.24; P < .001) both displayed marked increases between patients, suggesting future analysis may benefit from stratifying across insulin users and nonusers.

Fixed Effect Analysis

The fixed effects analysis yielded several notable findings. The intercept, representing the mean baseline HbA_1c level, was estimated at 7.8% (58 mmol/mol). The coefficient for the period (postrecall) was not statistically significant, indicating no overall change in HbA_1c levels from before to after the recall when specific medication classes were not considered (Table 4). Among medication classes examined, several showed significant associations with HbA_1c levels. DPP-4 inhibitors and GLP-1 agonists were associated with a decrease in HbA_1c levels, with coefficients of −0.08 and −0.24, respectively. Long-acting insulin and metformin immediate-release (IR) were associated with an increase in HbA_1c levels, as indicated by their positive coefficients of 0.38 and 0.16, respectively. Mixed insulin formulations and sulfonylureas showed an association with decreased HbA_1c levels.

Interaction Effects

The interaction terms between the recall period and the medication classes provided insights into the differential impact of the medication switch postrecall. Notably, the interaction term for long-acting insulin (coefficient, −0.10) was significant, suggesting a differential effect on HbA_1c levels postrecall. Other medications, like metformin IR, also exhibited significant interaction effects, indicating changes in the impact on HbA_1c levels in the postrecall period. The binary variable for medication class exposure suggests the use of a logit link function for binary outcomes within the multilevel modeling framework.¹⁵ We did not address the potential for cross cluster heterogeneity due to different medication classes.

DISCUSSION

This study is an ongoing, concurrent, observational, multicenter, registry-based study consisting of VISN 6 veterans who have T2DM and were prescribed metformin SA on June 1, 2020. This initial aim was to evaluate change in HbA_1c levels following the FDA metformin recall. While there was substantial variability in baseline HbA_1c levels across the patients, the mean baseline HbA_1c level at 7.5% (58 mmol/mol). Patients taking GLP-1 agonists showed substantial decrease in HbA_1c levels (coefficient; –0.5; 95% CI, –0.56 to –0.44; P <. 001). Patients taking SGLT-2 inhibitors had a notable decrease in HbA_1c (coefficient, –0.27; 95% CI, –0.32 to –0.22; P < .001). Despite this, the coefficient for the postrecall period was not statistically significant, indicating no overall change in HbA_1c levels from pre- to postrecall when specific medication classes were not considered.

Further analysis included assessment of prescribing trends postrecall. There was an increase in SGLT-2 inhibitor, GLP-1 agonist, and DPP-4 inhibitor prescribing. Considering the growing evidence of the cardiovascular and renal benefits of these medication classes, specifically the GLP-1 agonists and SGLT-2 inhibitors, this trend would be expected.

Limitations

This study cohort did not capture veterans with T2DM who transferred their health care to VISN 6 after June 1, 2020, and continued to receive metformin SA from the prior facility. Inclusion of these veterans would have increased the registry population. Additionally, the cohort did not identify veterans who continued to receive metformin SA through a source other than the VA. Without that information, the registry cohort may include veterans thought to have either transitioned to a different therapy or to no other T2DM therapy after the recall.

Given that DM can progress over time, it is possible the transition to a new medication after the recall was the result of suboptimal management, or in response to an adverse effect from a previous medication, and not solely due to the metformin SA recall. In addition, there are several factors that could impact HbA_1c level over time that were not accounted for in this study, such as medication adherence and lifestyle modifications.

The notable level of metformin SA prescriptions, despite the recall, may be attributed to several factors. First, not all patients stopped metformin completely. Review of the prescription data indicated that some veterans were provided with limited refills at select VA medical centers that had supplies (medication lots not recalled). Access to a safe supply of metformin SA after the recall may have varied among VISN 6 facilities. It is also possible that as new supplies of metformin SA became available, veterans restarted metformin SA. This may have been resumed while continuing a new medication prescribed at the beginning of the recall. As the year progressed after the recall, an increase in metformin SA prescriptions likely occurred as supplies became available and clinicians/veterans chose to resume this medication therapy.

Conclusions

Results of this initial registry study found no difference in HbA_1c levels across the study population after the metformin SA recall. However, there was clinical difference in the HbA_1c within veterans prescribed SGLT-2 inhibitors and GLP-1 agonists. As expected, prescribing trends showed an increase in these agents after the recall. With the known benefits of these medications beyond glucose lowering, it is anticipated the cohort of veterans prescribed these medications will continue to grow.

The VISN 6 research registry allowed this study to gain an important snapshot in time following the metformin SA recall, and will serve as an important resource for future DM research endeavors. It will allow for ongoing evaluation of the impact of the transition to alternative T2DM medications after the metformin SA recall. Future exploration will include evaluation of adverse drug reactions, DM-related hospitalizations, emergency department visits related to T2DM, changes in renal function, and cardiovascular events among all diabetes medication classes.

Acknowledgments

The study team thanks the Veterans Affairs Informatics and Computing Infrastructure for their help and expertise throughout this project. The authors acknowledge the contributions of Philip Nelson, PharmD, and Brian Peek, PharmD.

About 1 in 10 Americans have diabetes mellitus (DM), of which about 90% to 95% are diagnosed with type 2 DM (T2DM) and veterans are disproportionately affected.^1,2 About 25% enrolled in the Veterans Health Administration (VHA) have T2DM, which has been attributed to exposure to herbicides (eg, Agent Orange), decreased physical activity resulting from past physical strain, chronic pain, and other physical limitations resulting from military service.^3-5

Pharmacologic management of DM is guided by the effectiveness of lifestyle interventions and comorbid diagnoses. Current DM management guidelines recommend patients with comorbid atherosclerotic cardiovascular disease, chronic kidney disease, or congestive heart failure receive first-line diabetes therapy with a sodium-glucose cotransporter-2 (SGLT-2) inhibitor or glucagon-like peptide-1 receptor (GLP-1) agonist.

Metformin remains a first-line pharmacologic option for the treatment of T2DM with the goal of achieving glycemic management when lifestyle interventions are insufficient.^6,7 Newer antihyperglycemic therapies have been studied as adjunct therapy to metformin. However, there is limited literature comparing metformin directly to other medication classes for the treatment of T2DM.^8-13 A systematic review of treatment-naive patients found HbA_1c reductions were similar whether patients received metformin vs an SGLT-2 inhibitor, GLP-1 agonist, sulfonylurea, or thiazolidinedione monotherapy.¹⁰ The analysis found dipeptidyl-peptidase-4 (DPP-4) inhibitors had inferior HbA_1c reduction compared to metformin.¹⁰ A Japanese systematic review compared metformin to thiazolidinediones, sulfonylureas, glinides, DPP-4 inhibitors, α-glucosidase inhibitors, or SGLT-2 inhibitors for ≥ 12 weeks but found no statistically significant differences in HbA_1c reduction.¹¹ The AWARD-3 trial compared once-weekly dulaglutide to metformin in treatment-experienced patients and found greater improvement in HbA_1c and achievement of HbA_1c goal with dulaglutide.¹³ While these studies show some comparisons of metformin to alternative pharmacologic therapy, researchers have not looked at what happens to patients’ HbA_1c levels when an event, such as a recall, prompts a rapid change to a different antihyperglycemic agent.

On May 28, 2020, the US Food and Drug Administration (FDA) asked 5 pharmaceutical companies to voluntarily recall certain formulations of metformin. This action was taken when FDA testing revealed unacceptably high levels of N-Nitrosodimethylamine, a probable carcinogen.¹⁴ This FDA recall of metformin extended-release, referred to as metformin sustained-action (SA) within the VHA electronic medication file but the same type of formulation, prompted clinicians to revisit and revise the pharmacologic regimens of patients taking the drug. Because of the paucity of head-to-head trials comparing metformin with newer alternative antihyperglycemic therapies, the effect of treatment change was unknown. In response, we aimed to establish a data registry within Veterans Integrated Service Network (VISN) 6.

Registry Development

The VISN 6 registry was established to gather long-term, observational, head-to-head data that would allow review of HbA_1c levels before and after the recall, as well as HbA_1c levels broken down by the agent that patients were switched to after the recall. Another goal was to explore prescribing trends following the recall.

Data Access Request Tracker approval was obtained and a US Department of Veterans Affairs (VA) Information and Computing Infrastructure workspace was developed to host the registry data. The research cohort was established from this data, and the registry framework was finalized using Structured Query Language (SQL). The SQL coding allows for recurring data updates for all individuals within the cohort including date of birth, race, sex, ethnicity, VHA facility visited, weight, body mass index, HbA_1c level, creatinine clearance, serum creatinine, antihyperglycemic medication prescriptions, adverse drug reactions, medication adherence (as defined by ≥ 80% refill history), and hospitalizations related to diabetes. For the purposes of this initial analysis, registry data included demographics, diabetes medications, and HbA_1c results.

METHODS

This study was a concurrent, observational, multicenter, registry-based study conducted at the Western North Carolina VA Health Care System (WNCVAHCS). The study was approved by the WNCVAHCS institutional review board and research and development committees.

All patients aged ≥ 18 years with T2DM and receiving health care from VISN 6 facilities who had an active metformin SA prescription on, and 1 year prior to, June 1, 2020 (the initial date VHA began implementing the FDA metformin recall) were entered into the registry. Data from 1 year prior were collected to provide a baseline. Veterans were excluded if they received metformin SA for any indication other than T2DM, there was no pre- or postrecall HbA_1c measurement, or death. We included 15,594 VISN 6 veterans.

Registry data were analyzed to determine whether a significant change in HbA_1c level occurred after the metformin recall and in response to alternative agents being prescribed. Data from veterans who met all inclusion criteria were assessed during the year before and after June 1, 2020. Demographic data were analyzed using frequency and descriptive statistics. The Shapiro Wilkes test was performed, and data were found to be nonparametric; therefore the Wilcoxon signed-rank test was used to evaluate the hypothesis that HbA_1c levels were not impacted by the recall.

Our sample size allowed us to create exact matched pairs of 9130 individuals and utilize rank-biserial correlation to establish effect size. Following this initial population-level test, we constructed 2 models. The first, a linear mixed-effects model, focused solely on the interaction effects between the pre- and postrecall periods and various medication classes on HbA_1c levels. Second, we constructed a random-effects within-between model (REWB) to evaluate the impact ofmedication classes and demographic variables. Statistical significance was measured at P < .05 with conservative power at .90. The effect size was set to 1.0, reflecting a minimum clinically important difference. Literature establishes 0.5 as a modest level of HbA_1c improvement and 1.0 as a clinically significant improvement.

RESULTS

Preliminary results included 15,594 veterans who received a metformin SA prescription as of June 1, 2020 from VISN 6 facilities; 15,392 veterans had a drug exposure end on June 1, 2020, indicating their standard therapy of metformin SA was discontinued following the FDA recall. Two hundred and two veterans were excluded from the registry because they continued to receive metformin SA from existing stock at a VISN6 facility. After identifying veterans with data for 1 year prior (June 1, 2019) to the index date and 1 year after (June 1, 2021) the study population was adjusted to 9130. The population was predominantly males aged> 60 years. Roughly 55% of the registry identified as White and nearly 40% as Black, and 2% indentified as Hispanic (Table 1).

Wilcoxon Signed-Rank Test

We created exact pairs by iterating the data and finding the closest measurements for each patient before and after the recall. This has the advantage over averaging a patient’s pre- and post-HbA_1c levels, as it allows for a rank-biserial correlation. Using the nonparametric Wilcoxon signed-rank test, V was 20,100,707 (P < .001), indicating a significant effect. The –0.29 rank-biserial correlation, which was computed to assess the effect size of the recall, suggests that the median HbA_1c level was lower postrecall vs prerecall. The magnitude of the correlation suggests a moderate effect size, and while the recall had a noticeable impact at a population level, it was not extreme (Table 2).

Linear Mixed-Effects Model

The binary variable for medication class exposure suggests the use of a logit link function for binary outcomes within the multilevel modeling framework.¹⁵ We employed a linear mixed-effects model to investigate the impact that switching from metformin SA to other T2DM medications had on HbA_1c levels. The model was adjusted for patient-specific random effects and included interaction terms between the recall period (before and after) and the usage of different T2DM medications.

Model Fit and Random Effects

The model demonstrated a residual maximum likelihood criterion of 100,219.7, indicating its fit to the data. Notably, the random effects analysis revealed a substantial variability in baseline HbA_1c levels across patients (SD, 0.94), highlighting the importance of individual differences in DM management. Medication classes with zero or near-zero exposure rate were removed. Due to demographic homogeneity, the model did not converge on demographic variables. Veterans were taking a mean of 1.8 T2DM medications and metformin SA was most common (Table 3).

During the postrecall period, metformin SA remained the most frequently prescribed medication class. This may be attributed to the existence of multiple manufacturers of metformin SA, some of which may not have been impacted by the recall. VISN 6 medical centers could have sought metformin SA outside of the usual procurement path following the recall.

Complex Random Effects Model

We employed a complex REWB model that evaluated the impact of medication classes on HbA_1c levels, accounting for both within and between subject effects of these medications, along with demographic variables (sex, race, and ethnicity) (eAppendix). This model accounts for individual-level changes over time (within-patient effects) and between groups of patients (between-patient effects). This is a more comprehensive model aimed at understanding the broader impact of medications on HbA_1c levels across diverse patient groups.

Most demographic categories did not demonstrate significant effects in this model. Black individuals experienced a slight increase in HbA_1c levels compared with other racial categories that was not statistically significant. However, this model confirms the findings from the linear mixed-effects model that GLP-1 agonists showed a substantial decrease in HbA_1c levels within patients (coefficient –0.5; 95% CI, –0.56 to –0.44; P < .001) and a moderate increase between patients (coefficient, 0.21; 95% CI, 0.12-0.31; P < .001). Additionally, SGLT-2 inhibitors had a notable decrease within patients (coefficient, –0.27; 95% CI, –0.32 to –0.22; P < .001).Another notable finding with our REWB model is insulin usage was associated with high HbA_1c levels, but only between subjects. Long-acting insulin (coefficient, 0.96; 95% CI, 0.90-1.01; P <. 001) and mixed insulin (coefficient, 1.09; 95% CI, 0.94-1.24; P < .001) both displayed marked increases between patients, suggesting future analysis may benefit from stratifying across insulin users and nonusers.

Fixed Effect Analysis

The fixed effects analysis yielded several notable findings. The intercept, representing the mean baseline HbA_1c level, was estimated at 7.8% (58 mmol/mol). The coefficient for the period (postrecall) was not statistically significant, indicating no overall change in HbA_1c levels from before to after the recall when specific medication classes were not considered (Table 4). Among medication classes examined, several showed significant associations with HbA_1c levels. DPP-4 inhibitors and GLP-1 agonists were associated with a decrease in HbA_1c levels, with coefficients of −0.08 and −0.24, respectively. Long-acting insulin and metformin immediate-release (IR) were associated with an increase in HbA_1c levels, as indicated by their positive coefficients of 0.38 and 0.16, respectively. Mixed insulin formulations and sulfonylureas showed an association with decreased HbA_1c levels.

Interaction Effects

The interaction terms between the recall period and the medication classes provided insights into the differential impact of the medication switch postrecall. Notably, the interaction term for long-acting insulin (coefficient, −0.10) was significant, suggesting a differential effect on HbA_1c levels postrecall. Other medications, like metformin IR, also exhibited significant interaction effects, indicating changes in the impact on HbA_1c levels in the postrecall period. The binary variable for medication class exposure suggests the use of a logit link function for binary outcomes within the multilevel modeling framework.¹⁵ We did not address the potential for cross cluster heterogeneity due to different medication classes.

DISCUSSION

This study is an ongoing, concurrent, observational, multicenter, registry-based study consisting of VISN 6 veterans who have T2DM and were prescribed metformin SA on June 1, 2020. This initial aim was to evaluate change in HbA_1c levels following the FDA metformin recall. While there was substantial variability in baseline HbA_1c levels across the patients, the mean baseline HbA_1c level at 7.5% (58 mmol/mol). Patients taking GLP-1 agonists showed substantial decrease in HbA_1c levels (coefficient; –0.5; 95% CI, –0.56 to –0.44; P <. 001). Patients taking SGLT-2 inhibitors had a notable decrease in HbA_1c (coefficient, –0.27; 95% CI, –0.32 to –0.22; P < .001). Despite this, the coefficient for the postrecall period was not statistically significant, indicating no overall change in HbA_1c levels from pre- to postrecall when specific medication classes were not considered.

Further analysis included assessment of prescribing trends postrecall. There was an increase in SGLT-2 inhibitor, GLP-1 agonist, and DPP-4 inhibitor prescribing. Considering the growing evidence of the cardiovascular and renal benefits of these medication classes, specifically the GLP-1 agonists and SGLT-2 inhibitors, this trend would be expected.

Limitations

This study cohort did not capture veterans with T2DM who transferred their health care to VISN 6 after June 1, 2020, and continued to receive metformin SA from the prior facility. Inclusion of these veterans would have increased the registry population. Additionally, the cohort did not identify veterans who continued to receive metformin SA through a source other than the VA. Without that information, the registry cohort may include veterans thought to have either transitioned to a different therapy or to no other T2DM therapy after the recall.

Given that DM can progress over time, it is possible the transition to a new medication after the recall was the result of suboptimal management, or in response to an adverse effect from a previous medication, and not solely due to the metformin SA recall. In addition, there are several factors that could impact HbA_1c level over time that were not accounted for in this study, such as medication adherence and lifestyle modifications.

The notable level of metformin SA prescriptions, despite the recall, may be attributed to several factors. First, not all patients stopped metformin completely. Review of the prescription data indicated that some veterans were provided with limited refills at select VA medical centers that had supplies (medication lots not recalled). Access to a safe supply of metformin SA after the recall may have varied among VISN 6 facilities. It is also possible that as new supplies of metformin SA became available, veterans restarted metformin SA. This may have been resumed while continuing a new medication prescribed at the beginning of the recall. As the year progressed after the recall, an increase in metformin SA prescriptions likely occurred as supplies became available and clinicians/veterans chose to resume this medication therapy.

Conclusions

Results of this initial registry study found no difference in HbA_1c levels across the study population after the metformin SA recall. However, there was clinical difference in the HbA_1c within veterans prescribed SGLT-2 inhibitors and GLP-1 agonists. As expected, prescribing trends showed an increase in these agents after the recall. With the known benefits of these medications beyond glucose lowering, it is anticipated the cohort of veterans prescribed these medications will continue to grow.

The VISN 6 research registry allowed this study to gain an important snapshot in time following the metformin SA recall, and will serve as an important resource for future DM research endeavors. It will allow for ongoing evaluation of the impact of the transition to alternative T2DM medications after the metformin SA recall. Future exploration will include evaluation of adverse drug reactions, DM-related hospitalizations, emergency department visits related to T2DM, changes in renal function, and cardiovascular events among all diabetes medication classes.

Acknowledgments

The study team thanks the Veterans Affairs Informatics and Computing Infrastructure for their help and expertise throughout this project. The authors acknowledge the contributions of Philip Nelson, PharmD, and Brian Peek, PharmD.

About 1 in 10 Americans have diabetes mellitus (DM), of which about 90% to 95% are diagnosed with type 2 DM (T2DM) and veterans are disproportionately affected.^1,2 About 25% enrolled in the Veterans Health Administration (VHA) have T2DM, which has been attributed to exposure to herbicides (eg, Agent Orange), decreased physical activity resulting from past physical strain, chronic pain, and other physical limitations resulting from military service.^3-5

Pharmacologic management of DM is guided by the effectiveness of lifestyle interventions and comorbid diagnoses. Current DM management guidelines recommend patients with comorbid atherosclerotic cardiovascular disease, chronic kidney disease, or congestive heart failure receive first-line diabetes therapy with a sodium-glucose cotransporter-2 (SGLT-2) inhibitor or glucagon-like peptide-1 receptor (GLP-1) agonist.

Metformin remains a first-line pharmacologic option for the treatment of T2DM with the goal of achieving glycemic management when lifestyle interventions are insufficient.^6,7 Newer antihyperglycemic therapies have been studied as adjunct therapy to metformin. However, there is limited literature comparing metformin directly to other medication classes for the treatment of T2DM.^8-13 A systematic review of treatment-naive patients found HbA_1c reductions were similar whether patients received metformin vs an SGLT-2 inhibitor, GLP-1 agonist, sulfonylurea, or thiazolidinedione monotherapy.¹⁰ The analysis found dipeptidyl-peptidase-4 (DPP-4) inhibitors had inferior HbA_1c reduction compared to metformin.¹⁰ A Japanese systematic review compared metformin to thiazolidinediones, sulfonylureas, glinides, DPP-4 inhibitors, α-glucosidase inhibitors, or SGLT-2 inhibitors for ≥ 12 weeks but found no statistically significant differences in HbA_1c reduction.¹¹ The AWARD-3 trial compared once-weekly dulaglutide to metformin in treatment-experienced patients and found greater improvement in HbA_1c and achievement of HbA_1c goal with dulaglutide.¹³ While these studies show some comparisons of metformin to alternative pharmacologic therapy, researchers have not looked at what happens to patients’ HbA_1c levels when an event, such as a recall, prompts a rapid change to a different antihyperglycemic agent.

On May 28, 2020, the US Food and Drug Administration (FDA) asked 5 pharmaceutical companies to voluntarily recall certain formulations of metformin. This action was taken when FDA testing revealed unacceptably high levels of N-Nitrosodimethylamine, a probable carcinogen.¹⁴ This FDA recall of metformin extended-release, referred to as metformin sustained-action (SA) within the VHA electronic medication file but the same type of formulation, prompted clinicians to revisit and revise the pharmacologic regimens of patients taking the drug. Because of the paucity of head-to-head trials comparing metformin with newer alternative antihyperglycemic therapies, the effect of treatment change was unknown. In response, we aimed to establish a data registry within Veterans Integrated Service Network (VISN) 6.

Registry Development

The VISN 6 registry was established to gather long-term, observational, head-to-head data that would allow review of HbA_1c levels before and after the recall, as well as HbA_1c levels broken down by the agent that patients were switched to after the recall. Another goal was to explore prescribing trends following the recall.

Data Access Request Tracker approval was obtained and a US Department of Veterans Affairs (VA) Information and Computing Infrastructure workspace was developed to host the registry data. The research cohort was established from this data, and the registry framework was finalized using Structured Query Language (SQL). The SQL coding allows for recurring data updates for all individuals within the cohort including date of birth, race, sex, ethnicity, VHA facility visited, weight, body mass index, HbA_1c level, creatinine clearance, serum creatinine, antihyperglycemic medication prescriptions, adverse drug reactions, medication adherence (as defined by ≥ 80% refill history), and hospitalizations related to diabetes. For the purposes of this initial analysis, registry data included demographics, diabetes medications, and HbA_1c results.

METHODS

This study was a concurrent, observational, multicenter, registry-based study conducted at the Western North Carolina VA Health Care System (WNCVAHCS). The study was approved by the WNCVAHCS institutional review board and research and development committees.

All patients aged ≥ 18 years with T2DM and receiving health care from VISN 6 facilities who had an active metformin SA prescription on, and 1 year prior to, June 1, 2020 (the initial date VHA began implementing the FDA metformin recall) were entered into the registry. Data from 1 year prior were collected to provide a baseline. Veterans were excluded if they received metformin SA for any indication other than T2DM, there was no pre- or postrecall HbA_1c measurement, or death. We included 15,594 VISN 6 veterans.

Registry data were analyzed to determine whether a significant change in HbA_1c level occurred after the metformin recall and in response to alternative agents being prescribed. Data from veterans who met all inclusion criteria were assessed during the year before and after June 1, 2020. Demographic data were analyzed using frequency and descriptive statistics. The Shapiro Wilkes test was performed, and data were found to be nonparametric; therefore the Wilcoxon signed-rank test was used to evaluate the hypothesis that HbA_1c levels were not impacted by the recall.

Our sample size allowed us to create exact matched pairs of 9130 individuals and utilize rank-biserial correlation to establish effect size. Following this initial population-level test, we constructed 2 models. The first, a linear mixed-effects model, focused solely on the interaction effects between the pre- and postrecall periods and various medication classes on HbA_1c levels. Second, we constructed a random-effects within-between model (REWB) to evaluate the impact ofmedication classes and demographic variables. Statistical significance was measured at P < .05 with conservative power at .90. The effect size was set to 1.0, reflecting a minimum clinically important difference. Literature establishes 0.5 as a modest level of HbA_1c improvement and 1.0 as a clinically significant improvement.

RESULTS

Preliminary results included 15,594 veterans who received a metformin SA prescription as of June 1, 2020 from VISN 6 facilities; 15,392 veterans had a drug exposure end on June 1, 2020, indicating their standard therapy of metformin SA was discontinued following the FDA recall. Two hundred and two veterans were excluded from the registry because they continued to receive metformin SA from existing stock at a VISN6 facility. After identifying veterans with data for 1 year prior (June 1, 2019) to the index date and 1 year after (June 1, 2021) the study population was adjusted to 9130. The population was predominantly males aged> 60 years. Roughly 55% of the registry identified as White and nearly 40% as Black, and 2% indentified as Hispanic (Table 1).

Wilcoxon Signed-Rank Test

We created exact pairs by iterating the data and finding the closest measurements for each patient before and after the recall. This has the advantage over averaging a patient’s pre- and post-HbA_1c levels, as it allows for a rank-biserial correlation. Using the nonparametric Wilcoxon signed-rank test, V was 20,100,707 (P < .001), indicating a significant effect. The –0.29 rank-biserial correlation, which was computed to assess the effect size of the recall, suggests that the median HbA_1c level was lower postrecall vs prerecall. The magnitude of the correlation suggests a moderate effect size, and while the recall had a noticeable impact at a population level, it was not extreme (Table 2).

Linear Mixed-Effects Model

The binary variable for medication class exposure suggests the use of a logit link function for binary outcomes within the multilevel modeling framework.¹⁵ We employed a linear mixed-effects model to investigate the impact that switching from metformin SA to other T2DM medications had on HbA_1c levels. The model was adjusted for patient-specific random effects and included interaction terms between the recall period (before and after) and the usage of different T2DM medications.

Model Fit and Random Effects

The model demonstrated a residual maximum likelihood criterion of 100,219.7, indicating its fit to the data. Notably, the random effects analysis revealed a substantial variability in baseline HbA_1c levels across patients (SD, 0.94), highlighting the importance of individual differences in DM management. Medication classes with zero or near-zero exposure rate were removed. Due to demographic homogeneity, the model did not converge on demographic variables. Veterans were taking a mean of 1.8 T2DM medications and metformin SA was most common (Table 3).

During the postrecall period, metformin SA remained the most frequently prescribed medication class. This may be attributed to the existence of multiple manufacturers of metformin SA, some of which may not have been impacted by the recall. VISN 6 medical centers could have sought metformin SA outside of the usual procurement path following the recall.

Complex Random Effects Model

We employed a complex REWB model that evaluated the impact of medication classes on HbA_1c levels, accounting for both within and between subject effects of these medications, along with demographic variables (sex, race, and ethnicity) (eAppendix). This model accounts for individual-level changes over time (within-patient effects) and between groups of patients (between-patient effects). This is a more comprehensive model aimed at understanding the broader impact of medications on HbA_1c levels across diverse patient groups.

Most demographic categories did not demonstrate significant effects in this model. Black individuals experienced a slight increase in HbA_1c levels compared with other racial categories that was not statistically significant. However, this model confirms the findings from the linear mixed-effects model that GLP-1 agonists showed a substantial decrease in HbA_1c levels within patients (coefficient –0.5; 95% CI, –0.56 to –0.44; P < .001) and a moderate increase between patients (coefficient, 0.21; 95% CI, 0.12-0.31; P < .001). Additionally, SGLT-2 inhibitors had a notable decrease within patients (coefficient, –0.27; 95% CI, –0.32 to –0.22; P < .001).Another notable finding with our REWB model is insulin usage was associated with high HbA_1c levels, but only between subjects. Long-acting insulin (coefficient, 0.96; 95% CI, 0.90-1.01; P <. 001) and mixed insulin (coefficient, 1.09; 95% CI, 0.94-1.24; P < .001) both displayed marked increases between patients, suggesting future analysis may benefit from stratifying across insulin users and nonusers.

Fixed Effect Analysis

The fixed effects analysis yielded several notable findings. The intercept, representing the mean baseline HbA_1c level, was estimated at 7.8% (58 mmol/mol). The coefficient for the period (postrecall) was not statistically significant, indicating no overall change in HbA_1c levels from before to after the recall when specific medication classes were not considered (Table 4). Among medication classes examined, several showed significant associations with HbA_1c levels. DPP-4 inhibitors and GLP-1 agonists were associated with a decrease in HbA_1c levels, with coefficients of −0.08 and −0.24, respectively. Long-acting insulin and metformin immediate-release (IR) were associated with an increase in HbA_1c levels, as indicated by their positive coefficients of 0.38 and 0.16, respectively. Mixed insulin formulations and sulfonylureas showed an association with decreased HbA_1c levels.

Interaction Effects

The interaction terms between the recall period and the medication classes provided insights into the differential impact of the medication switch postrecall. Notably, the interaction term for long-acting insulin (coefficient, −0.10) was significant, suggesting a differential effect on HbA_1c levels postrecall. Other medications, like metformin IR, also exhibited significant interaction effects, indicating changes in the impact on HbA_1c levels in the postrecall period. The binary variable for medication class exposure suggests the use of a logit link function for binary outcomes within the multilevel modeling framework.¹⁵ We did not address the potential for cross cluster heterogeneity due to different medication classes.

DISCUSSION

This study is an ongoing, concurrent, observational, multicenter, registry-based study consisting of VISN 6 veterans who have T2DM and were prescribed metformin SA on June 1, 2020. This initial aim was to evaluate change in HbA_1c levels following the FDA metformin recall. While there was substantial variability in baseline HbA_1c levels across the patients, the mean baseline HbA_1c level at 7.5% (58 mmol/mol). Patients taking GLP-1 agonists showed substantial decrease in HbA_1c levels (coefficient; –0.5; 95% CI, –0.56 to –0.44; P <. 001). Patients taking SGLT-2 inhibitors had a notable decrease in HbA_1c (coefficient, –0.27; 95% CI, –0.32 to –0.22; P < .001). Despite this, the coefficient for the postrecall period was not statistically significant, indicating no overall change in HbA_1c levels from pre- to postrecall when specific medication classes were not considered.

Further analysis included assessment of prescribing trends postrecall. There was an increase in SGLT-2 inhibitor, GLP-1 agonist, and DPP-4 inhibitor prescribing. Considering the growing evidence of the cardiovascular and renal benefits of these medication classes, specifically the GLP-1 agonists and SGLT-2 inhibitors, this trend would be expected.

Limitations

This study cohort did not capture veterans with T2DM who transferred their health care to VISN 6 after June 1, 2020, and continued to receive metformin SA from the prior facility. Inclusion of these veterans would have increased the registry population. Additionally, the cohort did not identify veterans who continued to receive metformin SA through a source other than the VA. Without that information, the registry cohort may include veterans thought to have either transitioned to a different therapy or to no other T2DM therapy after the recall.

Given that DM can progress over time, it is possible the transition to a new medication after the recall was the result of suboptimal management, or in response to an adverse effect from a previous medication, and not solely due to the metformin SA recall. In addition, there are several factors that could impact HbA_1c level over time that were not accounted for in this study, such as medication adherence and lifestyle modifications.

The notable level of metformin SA prescriptions, despite the recall, may be attributed to several factors. First, not all patients stopped metformin completely. Review of the prescription data indicated that some veterans were provided with limited refills at select VA medical centers that had supplies (medication lots not recalled). Access to a safe supply of metformin SA after the recall may have varied among VISN 6 facilities. It is also possible that as new supplies of metformin SA became available, veterans restarted metformin SA. This may have been resumed while continuing a new medication prescribed at the beginning of the recall. As the year progressed after the recall, an increase in metformin SA prescriptions likely occurred as supplies became available and clinicians/veterans chose to resume this medication therapy.

Conclusions

Results of this initial registry study found no difference in HbA_1c levels across the study population after the metformin SA recall. However, there was clinical difference in the HbA_1c within veterans prescribed SGLT-2 inhibitors and GLP-1 agonists. As expected, prescribing trends showed an increase in these agents after the recall. With the known benefits of these medications beyond glucose lowering, it is anticipated the cohort of veterans prescribed these medications will continue to grow.

The VISN 6 research registry allowed this study to gain an important snapshot in time following the metformin SA recall, and will serve as an important resource for future DM research endeavors. It will allow for ongoing evaluation of the impact of the transition to alternative T2DM medications after the metformin SA recall. Future exploration will include evaluation of adverse drug reactions, DM-related hospitalizations, emergency department visits related to T2DM, changes in renal function, and cardiovascular events among all diabetes medication classes.

Acknowledgments

The study team thanks the Veterans Affairs Informatics and Computing Infrastructure for their help and expertise throughout this project. The authors acknowledge the contributions of Philip Nelson, PharmD, and Brian Peek, PharmD.

To the Editor:

Although biologics provide major therapeutic benefits for dermatologic conditions, they also come with a substantial cost, making them among the most expensive medications available. Medicare and Medicaid spending on biologics for dermatologic conditions increased by 320% from 2012 to 2018, reaching a staggering $10.6 billion in 2018 alone.¹ Biosimilars show promise in reducing health care spending for dermatologic conditions; however, their utilization has been limited due to multiple factors, including delayed market entry from patent thickets, exclusionary formulary contracts, and prescriber skepticism regarding their safety and efficacy.² For instance, a national survey of 1201 US physicians in specialties that are high prescribers of biologics reported that 55% doubted the safety and appropriateness of biosimilars.³

US Food and Drug Administration approval of biosimilars for adalimumab and etanercept offers the potential to reduce health care spending for dermatologic conditions. However, this cost reduction is dependent on utilization rates among dermatologists. In this national cross-sectional review of Medicare data, we predicted the impact of these biosimilars on dermatologic Medicare costs and demonstrated how differing utilization rates among dermatologists can influence potential savings.

To model 2023 utilization and cost reduction from biosimilars, we analyzed Medicare Part D data from 2020 on existing biosimilars, including granulocyte colony–stimulating factors, erythropoiesis-stimulating agents, and tumor necrosis factor α inhibitors.⁴ Methods in line with a 2021 report from the US Department of Health and Human Services⁵ as well as those of Yazdany et al⁶ were used. For each class, we calculated the 2020 distribution of biosimilar and originator drug claims as well as biosimilar cost reduction per 30-day claim. We utilized 2018-2021 annual growth rates for branded adalimumab and etanercept to estimate 30-day claims for 2023 and the cost of these branded agents in the absence of biosimilars. The hypothetical 2023 cost reduction from adalimumab and etanercept biosimilars was estimated by assuming 2020 biosimilar utilization rates and mean cost reduction per claim. This study utilized publicly available or aggregate summary data (not attributable to specific patients) and did not qualify as human subject research; therefore, institutional review board approval was not required.

In 2020, biosimilar utilization proportions ranged from 6.4% (tumor necrosis factor α inhibitors) to 82.7% (granulocyte colony–stimulating factors), with a mean across all classes of 35.7%. On average, the cost per 30-day claim of biosimilars was 66.8% of originator agents (Table 1). In 2021, we identified 57,868 30-day claims for branded adalimumab and etanercept submitted by dermatologists. From 2018 to 2021, 30-day branded adalimumab claims increased by 1.27% annually (cost + 10.62% annually), while claims for branded etanercept decreased by 13.0% annually (cost + 5.68% annually). Assuming these trends, the cost of branded adalimumab and etanercept was estimated to be $539 million in 2023. Applying the aforementioned 35.7% utilization, the introduction of biosimilars in dermatology would yield a cost reduction of approximately $118 million (21.9%). A high utilization rate (82.7%) of biosimilars among dermatologists would increase cost savings to $199 million (36.9%)(Table 2).

We found that the extent of savings from biosimilars was dependent on the utilization rates among dermatologists, with the highest utilization rate almost doubling the total savings of average utilization rates. Given the impact of high utilization and the wide variation observed, understanding the factors that have influenced uptake of biosimilars is important to increasing utilization as these medications become integrated into dermatology. For instance, limited uptake of infliximab initially may have been influenced by concerns about efficacy and increased adverse events.^8,9 In contrast, the high utilization of filgrastim biosimilars (82.7%) may be attributed to its longevity in the market and familiarity to prescribers, as filgrastim was the first biosimilar to be approved in the United States.¹⁰

Promoting reasonable utilization of biosimilars may require prescriber education on their safety and approval processes, which could foster increased utilization and reduce skepticism.⁴ Under the Biologics Price Competition and Innovation Act, the US Food and Drug Administration approves biosimilars only when they exhibit “high similarity” and show no “clinically meaningful differences” compared to the reference biologic, with no added safety risks or reduced efficacy.¹¹ Moreover, a 2023 systematic review of 17 studies found no major difference in efficacy and safety between biosimilars and originators of etanercept, infliximab, and other biologics.¹² Understanding these findings may reassure dermatologists and patients about the reliability and safety of biosimilars.

A limitation of our study is that it solely assesses Medicare data and estimates derived from existing (separate) biologic classes. It also does not account for potential expenditure shifts to newer biologic agents (eg, IL-12/17/23 inhibitors) or changes in manufacturer behavior or promotions. Nevertheless, it indicates notable financial savings from new biosimilar agents in dermatology; along with their compelling efficacy and safety profiles, this could represent a substantial benefit to patients and the health care system.

To the Editor:

Although biologics provide major therapeutic benefits for dermatologic conditions, they also come with a substantial cost, making them among the most expensive medications available. Medicare and Medicaid spending on biologics for dermatologic conditions increased by 320% from 2012 to 2018, reaching a staggering $10.6 billion in 2018 alone.¹ Biosimilars show promise in reducing health care spending for dermatologic conditions; however, their utilization has been limited due to multiple factors, including delayed market entry from patent thickets, exclusionary formulary contracts, and prescriber skepticism regarding their safety and efficacy.² For instance, a national survey of 1201 US physicians in specialties that are high prescribers of biologics reported that 55% doubted the safety and appropriateness of biosimilars.³

US Food and Drug Administration approval of biosimilars for adalimumab and etanercept offers the potential to reduce health care spending for dermatologic conditions. However, this cost reduction is dependent on utilization rates among dermatologists. In this national cross-sectional review of Medicare data, we predicted the impact of these biosimilars on dermatologic Medicare costs and demonstrated how differing utilization rates among dermatologists can influence potential savings.

To model 2023 utilization and cost reduction from biosimilars, we analyzed Medicare Part D data from 2020 on existing biosimilars, including granulocyte colony–stimulating factors, erythropoiesis-stimulating agents, and tumor necrosis factor α inhibitors.⁴ Methods in line with a 2021 report from the US Department of Health and Human Services⁵ as well as those of Yazdany et al⁶ were used. For each class, we calculated the 2020 distribution of biosimilar and originator drug claims as well as biosimilar cost reduction per 30-day claim. We utilized 2018-2021 annual growth rates for branded adalimumab and etanercept to estimate 30-day claims for 2023 and the cost of these branded agents in the absence of biosimilars. The hypothetical 2023 cost reduction from adalimumab and etanercept biosimilars was estimated by assuming 2020 biosimilar utilization rates and mean cost reduction per claim. This study utilized publicly available or aggregate summary data (not attributable to specific patients) and did not qualify as human subject research; therefore, institutional review board approval was not required.

In 2020, biosimilar utilization proportions ranged from 6.4% (tumor necrosis factor α inhibitors) to 82.7% (granulocyte colony–stimulating factors), with a mean across all classes of 35.7%. On average, the cost per 30-day claim of biosimilars was 66.8% of originator agents (Table 1). In 2021, we identified 57,868 30-day claims for branded adalimumab and etanercept submitted by dermatologists. From 2018 to 2021, 30-day branded adalimumab claims increased by 1.27% annually (cost + 10.62% annually), while claims for branded etanercept decreased by 13.0% annually (cost + 5.68% annually). Assuming these trends, the cost of branded adalimumab and etanercept was estimated to be $539 million in 2023. Applying the aforementioned 35.7% utilization, the introduction of biosimilars in dermatology would yield a cost reduction of approximately $118 million (21.9%). A high utilization rate (82.7%) of biosimilars among dermatologists would increase cost savings to $199 million (36.9%)(Table 2).

We found that the extent of savings from biosimilars was dependent on the utilization rates among dermatologists, with the highest utilization rate almost doubling the total savings of average utilization rates. Given the impact of high utilization and the wide variation observed, understanding the factors that have influenced uptake of biosimilars is important to increasing utilization as these medications become integrated into dermatology. For instance, limited uptake of infliximab initially may have been influenced by concerns about efficacy and increased adverse events.^8,9 In contrast, the high utilization of filgrastim biosimilars (82.7%) may be attributed to its longevity in the market and familiarity to prescribers, as filgrastim was the first biosimilar to be approved in the United States.¹⁰

Promoting reasonable utilization of biosimilars may require prescriber education on their safety and approval processes, which could foster increased utilization and reduce skepticism.⁴ Under the Biologics Price Competition and Innovation Act, the US Food and Drug Administration approves biosimilars only when they exhibit “high similarity” and show no “clinically meaningful differences” compared to the reference biologic, with no added safety risks or reduced efficacy.¹¹ Moreover, a 2023 systematic review of 17 studies found no major difference in efficacy and safety between biosimilars and originators of etanercept, infliximab, and other biologics.¹² Understanding these findings may reassure dermatologists and patients about the reliability and safety of biosimilars.

A limitation of our study is that it solely assesses Medicare data and estimates derived from existing (separate) biologic classes. It also does not account for potential expenditure shifts to newer biologic agents (eg, IL-12/17/23 inhibitors) or changes in manufacturer behavior or promotions. Nevertheless, it indicates notable financial savings from new biosimilar agents in dermatology; along with their compelling efficacy and safety profiles, this could represent a substantial benefit to patients and the health care system.

To the Editor:

Although biologics provide major therapeutic benefits for dermatologic conditions, they also come with a substantial cost, making them among the most expensive medications available. Medicare and Medicaid spending on biologics for dermatologic conditions increased by 320% from 2012 to 2018, reaching a staggering $10.6 billion in 2018 alone.¹ Biosimilars show promise in reducing health care spending for dermatologic conditions; however, their utilization has been limited due to multiple factors, including delayed market entry from patent thickets, exclusionary formulary contracts, and prescriber skepticism regarding their safety and efficacy.² For instance, a national survey of 1201 US physicians in specialties that are high prescribers of biologics reported that 55% doubted the safety and appropriateness of biosimilars.³

US Food and Drug Administration approval of biosimilars for adalimumab and etanercept offers the potential to reduce health care spending for dermatologic conditions. However, this cost reduction is dependent on utilization rates among dermatologists. In this national cross-sectional review of Medicare data, we predicted the impact of these biosimilars on dermatologic Medicare costs and demonstrated how differing utilization rates among dermatologists can influence potential savings.

To model 2023 utilization and cost reduction from biosimilars, we analyzed Medicare Part D data from 2020 on existing biosimilars, including granulocyte colony–stimulating factors, erythropoiesis-stimulating agents, and tumor necrosis factor α inhibitors.⁴ Methods in line with a 2021 report from the US Department of Health and Human Services⁵ as well as those of Yazdany et al⁶ were used. For each class, we calculated the 2020 distribution of biosimilar and originator drug claims as well as biosimilar cost reduction per 30-day claim. We utilized 2018-2021 annual growth rates for branded adalimumab and etanercept to estimate 30-day claims for 2023 and the cost of these branded agents in the absence of biosimilars. The hypothetical 2023 cost reduction from adalimumab and etanercept biosimilars was estimated by assuming 2020 biosimilar utilization rates and mean cost reduction per claim. This study utilized publicly available or aggregate summary data (not attributable to specific patients) and did not qualify as human subject research; therefore, institutional review board approval was not required.

In 2020, biosimilar utilization proportions ranged from 6.4% (tumor necrosis factor α inhibitors) to 82.7% (granulocyte colony–stimulating factors), with a mean across all classes of 35.7%. On average, the cost per 30-day claim of biosimilars was 66.8% of originator agents (Table 1). In 2021, we identified 57,868 30-day claims for branded adalimumab and etanercept submitted by dermatologists. From 2018 to 2021, 30-day branded adalimumab claims increased by 1.27% annually (cost + 10.62% annually), while claims for branded etanercept decreased by 13.0% annually (cost + 5.68% annually). Assuming these trends, the cost of branded adalimumab and etanercept was estimated to be $539 million in 2023. Applying the aforementioned 35.7% utilization, the introduction of biosimilars in dermatology would yield a cost reduction of approximately $118 million (21.9%). A high utilization rate (82.7%) of biosimilars among dermatologists would increase cost savings to $199 million (36.9%)(Table 2).

We found that the extent of savings from biosimilars was dependent on the utilization rates among dermatologists, with the highest utilization rate almost doubling the total savings of average utilization rates. Given the impact of high utilization and the wide variation observed, understanding the factors that have influenced uptake of biosimilars is important to increasing utilization as these medications become integrated into dermatology. For instance, limited uptake of infliximab initially may have been influenced by concerns about efficacy and increased adverse events.^8,9 In contrast, the high utilization of filgrastim biosimilars (82.7%) may be attributed to its longevity in the market and familiarity to prescribers, as filgrastim was the first biosimilar to be approved in the United States.¹⁰

Promoting reasonable utilization of biosimilars may require prescriber education on their safety and approval processes, which could foster increased utilization and reduce skepticism.⁴ Under the Biologics Price Competition and Innovation Act, the US Food and Drug Administration approves biosimilars only when they exhibit “high similarity” and show no “clinically meaningful differences” compared to the reference biologic, with no added safety risks or reduced efficacy.¹¹ Moreover, a 2023 systematic review of 17 studies found no major difference in efficacy and safety between biosimilars and originators of etanercept, infliximab, and other biologics.¹² Understanding these findings may reassure dermatologists and patients about the reliability and safety of biosimilars.

A limitation of our study is that it solely assesses Medicare data and estimates derived from existing (separate) biologic classes. It also does not account for potential expenditure shifts to newer biologic agents (eg, IL-12/17/23 inhibitors) or changes in manufacturer behavior or promotions. Nevertheless, it indicates notable financial savings from new biosimilar agents in dermatology; along with their compelling efficacy and safety profiles, this could represent a substantial benefit to patients and the health care system.

To the Editor:

Patients with primary psychiatric disorders with dermatologic manifestations often seek treatment from dermatologists instead of psychiatrists.¹ For example, patients with delusions of parasitosis may lack insight into the underlying etiology of their disease and instead fixate on establishing an organic cause for their symptoms. As a result, it is an increasingly common practice for dermatologists to diagnose and treat psychiatric conditions.¹ The goal of this study was to evaluate trends for the top 5 antipsychotics most frequently prescribed by dermatologists in the Medicare Part D database.

In this retrospective analysis, we consulted the Medicare Provider Utilization and Payment Data for January 2013 through December 2020, which is provided to the public by the Centers for Medicare & Medicaid Services.² Only prescribing data from dermatologists were included in this study by using the built-in filter on the website to select “dermatology” as the prescriber type. All other provider types were excluded. We chose the top 5 most prescribed antipsychotics based on the number of supply days reported. Supply days—defined by Medicare as the number of days’ worth of medication that is prescribed—were used as a metric for ­utilization; therefore, each drug’s total supply days prescribed by dermatologists were calculated using this combined filter of drug name and total supply days using the database.

To analyze utilization over time, the annual average growth rate (AAGR) was calculated by determining the growth rate in total supply days annually from 2013 to 2020 and then averaging those rates to determine the overall AAGR. For greater clinical relevance, we calculated the average growth in supply days for the entire study period by determining the difference in the number of supply days for each year and then averaging these values. This was done to consider overall trends across dermatology rather than individual dermatologist prescribing patterns.

Based on our analysis, the antipsychotics most frequently prescribed by dermatologists for Medicare patients from January 2013 to December 2020 were pimozide, quetiapine, risperidone, olanzapine, and aripiprazole. The AAGR for each drug was 2.35%, 4.89%, 5.59%, 9.48%, and 20.72%, respectively, which is consistent with increased utilization over the study period for all 5 drugs (Table 1). The change in cost per supply day for the same period was 1.3%, –66.1%, –60.2%, –81.7%, and –84.3%, respectively. The net difference in cost per supply day over this entire period was $0.02, –$2.79, –$1.06, –$5.37, and –$21.22, respectively (Table 2).

To the Editor:

Patients with primary psychiatric disorders with dermatologic manifestations often seek treatment from dermatologists instead of psychiatrists.¹ For example, patients with delusions of parasitosis may lack insight into the underlying etiology of their disease and instead fixate on establishing an organic cause for their symptoms. As a result, it is an increasingly common practice for dermatologists to diagnose and treat psychiatric conditions.¹ The goal of this study was to evaluate trends for the top 5 antipsychotics most frequently prescribed by dermatologists in the Medicare Part D database.

In this retrospective analysis, we consulted the Medicare Provider Utilization and Payment Data for January 2013 through December 2020, which is provided to the public by the Centers for Medicare & Medicaid Services.² Only prescribing data from dermatologists were included in this study by using the built-in filter on the website to select “dermatology” as the prescriber type. All other provider types were excluded. We chose the top 5 most prescribed antipsychotics based on the number of supply days reported. Supply days—defined by Medicare as the number of days’ worth of medication that is prescribed—were used as a metric for ­utilization; therefore, each drug’s total supply days prescribed by dermatologists were calculated using this combined filter of drug name and total supply days using the database.

To analyze utilization over time, the annual average growth rate (AAGR) was calculated by determining the growth rate in total supply days annually from 2013 to 2020 and then averaging those rates to determine the overall AAGR. For greater clinical relevance, we calculated the average growth in supply days for the entire study period by determining the difference in the number of supply days for each year and then averaging these values. This was done to consider overall trends across dermatology rather than individual dermatologist prescribing patterns.

Based on our analysis, the antipsychotics most frequently prescribed by dermatologists for Medicare patients from January 2013 to December 2020 were pimozide, quetiapine, risperidone, olanzapine, and aripiprazole. The AAGR for each drug was 2.35%, 4.89%, 5.59%, 9.48%, and 20.72%, respectively, which is consistent with increased utilization over the study period for all 5 drugs (Table 1). The change in cost per supply day for the same period was 1.3%, –66.1%, –60.2%, –81.7%, and –84.3%, respectively. The net difference in cost per supply day over this entire period was $0.02, –$2.79, –$1.06, –$5.37, and –$21.22, respectively (Table 2).

To the Editor:

Patients with primary psychiatric disorders with dermatologic manifestations often seek treatment from dermatologists instead of psychiatrists.¹ For example, patients with delusions of parasitosis may lack insight into the underlying etiology of their disease and instead fixate on establishing an organic cause for their symptoms. As a result, it is an increasingly common practice for dermatologists to diagnose and treat psychiatric conditions.¹ The goal of this study was to evaluate trends for the top 5 antipsychotics most frequently prescribed by dermatologists in the Medicare Part D database.

In this retrospective analysis, we consulted the Medicare Provider Utilization and Payment Data for January 2013 through December 2020, which is provided to the public by the Centers for Medicare & Medicaid Services.² Only prescribing data from dermatologists were included in this study by using the built-in filter on the website to select “dermatology” as the prescriber type. All other provider types were excluded. We chose the top 5 most prescribed antipsychotics based on the number of supply days reported. Supply days—defined by Medicare as the number of days’ worth of medication that is prescribed—were used as a metric for ­utilization; therefore, each drug’s total supply days prescribed by dermatologists were calculated using this combined filter of drug name and total supply days using the database.

To analyze utilization over time, the annual average growth rate (AAGR) was calculated by determining the growth rate in total supply days annually from 2013 to 2020 and then averaging those rates to determine the overall AAGR. For greater clinical relevance, we calculated the average growth in supply days for the entire study period by determining the difference in the number of supply days for each year and then averaging these values. This was done to consider overall trends across dermatology rather than individual dermatologist prescribing patterns.

Based on our analysis, the antipsychotics most frequently prescribed by dermatologists for Medicare patients from January 2013 to December 2020 were pimozide, quetiapine, risperidone, olanzapine, and aripiprazole. The AAGR for each drug was 2.35%, 4.89%, 5.59%, 9.48%, and 20.72%, respectively, which is consistent with increased utilization over the study period for all 5 drugs (Table 1). The change in cost per supply day for the same period was 1.3%, –66.1%, –60.2%, –81.7%, and –84.3%, respectively. The net difference in cost per supply day over this entire period was $0.02, –$2.79, –$1.06, –$5.37, and –$21.22, respectively (Table 2).

Psoriasis is a chronic inflammatory disease affecting approximately 8 million adults in the United States and 2% of the global population.^1,2 Psoriasis causes pain, itching, and disfigurement and is associated with a physical, psychological, and economic burden that substantially affects health-related quality of life.^3-5

Setting treatment goals and treating to target are evidence-based approaches that have been successfully applied to several chronic diseases to improve patient outcomes, including diabetes, hypertension, and rheumatoid arthritis.^6-9 Treat-to-target strategies generally set low disease activity (or remission) as an overall goal and seek to achieve this using available therapeutic options as necessary. Introduced following the availability of biologics and targeted systemic therapies, treat-to-target strategies generally provide guidance on expectations of treatment but not specific treatments, as personalized treatment decisions depend on an assessment of individual patients and consider clinical and demographic features as well as preferences for available therapeutic options. If targets are not achieved in the assigned time span, adjustments can be made to the treatment approach in close consultation with the patient. If the target is reached, follow-up visits can be scheduled to ensure improvement is maintained or to establish if more aggressive goals could be selected.

Treat-to-target strategies for the management of psoriasis developed by the National Psoriasis Foundation (NPF) Medical Board include reducing the extent of psoriasis to 1% or lower total body surface area (BSA) after 3 months of treatment.¹⁰ Treatment targets endorsed by the European Academy of Dermatology and Venereology (EADV) in guidelines on the use of systemic therapies in psoriasis include achieving a 75% or greater reduction in Psoriasis Area and Severity Index (PASI) score within 3 to 4 months of treatment.¹¹

In clinical practice, many patients do not achieve these treatment targets, and topical treatments alone generally are insufficient in achieving treatment goals for psoriasis.^12,13 Moreover, conventional topical treatments (eg, topical corticosteroids) used by most patients with psoriasis regardless of disease severity are associated with adverse events that can limit their use. Most topical corticosteroids have US Food and Drug Administration label restrictions relating to sites of application, duration and extent of use, and frequency of administration.^14,15

Tapinarof cream 1% (VTAMA [Dermavant Sciences, Inc]) is a first-in-class topical nonsteroidal aryl hydrocarbon receptor agonist that was approved by the US Food and Drug Administration for the treatment of plaque psoriasis in adults¹⁶ and is being studied for the treatment of plaque psoriasis in children 2 years and older as well as for atopic dermatitis in adults and children 2 years and older. In PSOARING 1 (ClinicalTrials .gov identifier NCT03956355) and PSOARING 2 (NCT03983980)—identical 12-week pivotal phase 3 trials—monotherapy with tapinarof cream 1% once daily (QD) demonstrated statistically significant efficacy vs vehicle cream and was well tolerated in adults with mild to severe plaque psoriasis (Supplementary Figure S1).¹⁷ Lebwohl et al¹⁷ reported that significantly higher PASI75 responses were observed at week 12 with tapinarof cream vs vehicle in PSOARING 1 and PSOARING 2 (36% and 48% vs 10% and 7%, respectively; both P<.0001). A significantly higher PASI90 response of 19% and 21% at week 12 also was observed with tapinarof cream vs 2% and 3% with vehicle in PSOARING 1 and PSOARING 2, respectively (P=.0005 and P<.0001).¹⁷

In PSOARING 3 (NCT04053387)—the long-term extension trial (Supplementary Figure S1)—efficacy continued to improve or was maintained beyond the two 12-week trials, with improvements in total BSA affected and PASI scores for up to 52 weeks.¹⁸ Tapinarof cream 1% QD demonstrated positive, rapid, and durable outcomes in PSOARING 3, including high rates of complete disease clearance (Physician Global Assessment [PGA] score=0 [clear])(40.9% [312/763]), durability of response on treatment with no evidence of tachyphylaxis, and a remittive effect of approximately 4 months when off therapy (defined as maintenance of a PGA score of 0 [clear] or 1 [almost clear] after first achieving a PGA score of 0).¹⁸

Herein, we report absolute treatment targets for patients with plaque psoriasis who received tapinarof cream 1% QD in the PSOARING trials that are at least as stringent as the corresponding NPF and EADV targets of achieving a total BSA affected of 1% or lower or a PASI75 response within 3 to 4 months, respectively.

METHODS

Study Design

The pooled efficacy analyses included all patients with a baseline PGA score of 2 or higher (mild or worse) before treatment with tapinarof cream 1% QD in the PSOARING trials. This included patients who received tapinarof cream 1% in PSOARING 1 and PSOARING 2 who may or may not have continued into PSOARING 3, as well as those who received the vehicle in PSOARING 1 and PSOARING 2 who enrolled in PSOARING 3 and had a PGA score of 2 or higher before receiving tapinarof cream 1%.

Trial Participants

Full methods, including inclusion and exclusion criteria, for the PSOARING trials have been previously reported.^17,18 Patients were aged 18 to 75 years and had chronic plaque psoriasis that was stable for at least 6 months before randomization; 3% to 20% total BSA affected (excluding the scalp, palms, fingernails, toenails, and soles); and a PGA score of 2 (mild), 3 (moderate), or 4 (severe) at baseline.

The clinical trials were conducted in compliance with the guidelines for Good Clinical Practice and the Declaration of Helsinki. Approval was obtained from local ethics committees or institutional review boards at each center. All patients provided written informed consent.

Trial Treatment

In PSOARING 1 and PSOARING 2, patients were randomized (2:1) to receive tapinarof cream 1% or vehicle QD for 12 weeks. In PSOARING 3 (the long-term extension trial), patients received up to 40 weeks of open-label tapinarof, followed by 4 weeks of follow-up off treatment. Patients received intermittent or continuous treatment with tapinarof cream 1% in PSOARING 3 based on PGA score: those entering the trial with a PGA score of 1 or higher received tapinarof cream 1% until complete disease clearance was achieved (defined as a PGA score of 0 [clear]). Those entering PSOARING 3 with or achieving a PGA score of 0 (clear) discontinued treatment and were observed for the duration of maintenance of a PGA score of 0 (clear) or 1 (almost clear) while off therapy (the protocol-defined “duration of remittive effect”). If disease worsening (defined as a PGA score 2 or higher) occurred, tapinarof cream 1% was restarted and continued until a PGA score of 0 (clear) was achieved. This pattern of treatment, discontinuation on achieving a PGA score of 0 (clear), and retreatment on disease worsening continued until the end of the trial. As a result, patients in PSOARING 3 could receive tapinarof cream 1% continuously or intermittently for 40 weeks.

Outcome Measures and Statistical Analyses

The assessment of total BSA affected by plaque psoriasis is an estimate of the total extent of disease as a percentage of total skin area. In the PSOARING trials, the skin surface of one hand (palm and digits) was assumed to be approximately equivalent to 1% BSA. The total BSA affected by psoriasis was evaluated from 0% to 100%, with greater total BSA affected being an indication of more extensive disease. The BSA efficacy outcomes used in these analyses were based post hoc on the proportion of patients who achieved a 1% or lower or 0.5% or lower total BSA affected. The smallest BSA affected increment that investigators were trained to measure and could record was 0.1%.

Psoriasis Area and Severity Index scores assess both the severity and extent of psoriasis. A PASI score lower than 5 often is considered indicative of mild psoriasis, a score of 5 to 10 indicates moderate disease, and a score higher than 10 indicates severe disease.¹⁹ The maximum PASI score is 72. The PASI efficacy outcomes used in these analyses were based post hoc on the proportion of patients who achieved an absolute total PASI score of 3 or lower, 2 or lower, and 1 or lower.

Efficacy analyses were based on pooled data for all patients in the PSOARING trials who had a PGA score of 2 to 4 (mild to severe) before treatment with tapinarof cream 1% in the intention-to-treat population using observed cases. Time-to-target analyses were based on Kaplan-Meier (KM) estimates using observed cases.

Safety analyses included the incidence and frequency of adverse events and were based on all patients who received tapinarof cream 1% in the PSOARING trials.

RESULTS

Baseline Patient Demographics and Disease Characteristics

The pooled efficacy analyses included 915 eligible patients (Table). At baseline, the mean (SD) age was 50.2 (13.25) years, 58.7% were male, the mean (SD) weight was 92.2 (23.67) kg, and the mean (SD) body mass index was 31.6 (7.53) kg/m². The percentage of patients with a PGA score of 2 (mild), 3 (moderate), or 4 (severe) was 13.9%, 78.1%, and 8.0%, respectively. The mean (SD) PASI score was 8.7 (4.23) and mean (SD) total BSA affected was 7.8% (4.98).

Efficacy

Achievement of BSA-Affected Targets—The NPF-recommended target of 1% or lower total BSA affected within 3 months was achieved by 40% of patients (KM estimate [95% CI, 37%-43%])(Figure 1). Across the total trial period of up to 52 weeks, a total BSA affected of 1% or lower was achieved by 61% of patients (561/915), with the median time to target of approximately 4 months (KM estimate: 120 days [95% CI, 113-141])(Supplementary Figure S2a). Approximately 50% of patients (455/915) achieved a total BSA affected of 0.5% or lower, with a median time to target of 199 days (KM estimate [95% CI, 172-228)(Figure 1; Supplementary Figure S2b).

Achievement of Absolute PASI Targets—Across the total trial period (up to 52 weeks), an absolute total PASI score of 3 or lower was achieved by 75% of patients (686/915), with a median time to achieve this of 2 months (KM estimate: 58 days [95% CI, 57-63]); approximately 67% of patients (612/915) achieved a total PASI score of 2 or lower, with a median time to achieve of 3 months (KM estimate: 87 days [95% CI, 85-110])(Figure 2; Supplementary Figures S3a and S3b). A PASI score of 1 or lower was achieved by approximately 50% of patients (460/915), with a median time to achieve of approximately 6 months (KM estimate: 185 days [95% CI, 169-218])(Figure 2, Supplementary Figure S3c).

Illustrative Case—Case photography showing the clinical response in a 63-year-old man with moderate plaque psoriasis in PSOARING 2 is shown in Figure 3. After 12 weeks of treatment with tapinarof cream 1% QD, the patient achieved all primary and secondary efficacy end points. In addition to achieving the regulatory end point of a PGA score of 0 (clear) or 1 (almost clear) and a decrease from baseline of at least 2 points, achievement of 0% total BSA affected and a total PASI score of 0 at week 12 exceeded the NPF and EADV consensus treatment targets.^10,11 Targets were achieved as early as week 4, with a total BSA affected of 0.5% or lower and a total PASI score of 1 or lower, illustrated by marked skin clearing and only faint residual erythema that completely resolved at week 12, with the absence of postinflammatory hyperpigmentation.

Safety

Safety data for the PSOARING trials have been previously reported.^17,18 The most common treatment-emergent adverse events were folliculitis, contact dermatitis, upper respiratory tract infection, and nasopharyngitis. Treatment-emergent adverse events generally were mild or moderate in severity and did not lead to trial discontinuation.^17,18

COMMENT

Treat-to-target management approaches aim to improve patient outcomes by striving to achieve optimal goals. The treat-to-target approach supports shared decision-making between clinicians and patients based on common expectations of what constitutes treatment success.

The findings of this analysis based on pooled data from a large cohort of patients demonstrate that a high proportion of patients can achieve or exceed recommended treatment targets with tapinarof cream 1% QD and maintain improvements long-term. The NPF-recommended treatment target of 1% or lower BSA affected within approximately 3 months (90 days) of treatment was achieved by 40% of tapinarof-treated patients. In addition, 1% or lower BSA affected at any time during the trials was achieved by 61% of patients (median, approximately 4 months). The analyses also indicated that PASI total scores of 3 or lower and 2 or lower were achieved by 75% and 67% of tapinarof-treated patients, respectively, within 2 to 3 months.

These findings support the previously reported efficacy of tapinarof cream, including high rates of complete disease clearance (40.9% [312/763]), durable response following treatment interruption, an off-therapy remittive effect of approximately 4 months, and good disease control on therapy with no evidence of tachyphylaxis.^17,18

CONCLUSION

Taken together with previously reported tapinarof efficacy and safety results, our findings demonstrate that a high proportion of patients treated with tapinarof cream as monotherapy can achieve aggressive treatment targets set by both US and European guidelines developed for systemic and biologic therapies. Tapinarof cream 1% QD is an effective topical treatment option for patients with plaque psoriasis that has been approved without restrictions relating to severity or extent of disease treated, duration of use, or application sites, including application to sensitive and intertriginous skin.

Acknowledgments—Editorial and medical writing support under the guidance of the authors was provided by Melanie Govender, MSc (Med), ApotheCom (United Kingdom), and was funded by Dermavant Sciences, Inc, in accordance with Good Publication Practice (GPP) guidelines.

Psoriasis is a chronic inflammatory disease affecting approximately 8 million adults in the United States and 2% of the global population.^1,2 Psoriasis causes pain, itching, and disfigurement and is associated with a physical, psychological, and economic burden that substantially affects health-related quality of life.^3-5

Setting treatment goals and treating to target are evidence-based approaches that have been successfully applied to several chronic diseases to improve patient outcomes, including diabetes, hypertension, and rheumatoid arthritis.^6-9 Treat-to-target strategies generally set low disease activity (or remission) as an overall goal and seek to achieve this using available therapeutic options as necessary. Introduced following the availability of biologics and targeted systemic therapies, treat-to-target strategies generally provide guidance on expectations of treatment but not specific treatments, as personalized treatment decisions depend on an assessment of individual patients and consider clinical and demographic features as well as preferences for available therapeutic options. If targets are not achieved in the assigned time span, adjustments can be made to the treatment approach in close consultation with the patient. If the target is reached, follow-up visits can be scheduled to ensure improvement is maintained or to establish if more aggressive goals could be selected.

Treat-to-target strategies for the management of psoriasis developed by the National Psoriasis Foundation (NPF) Medical Board include reducing the extent of psoriasis to 1% or lower total body surface area (BSA) after 3 months of treatment.¹⁰ Treatment targets endorsed by the European Academy of Dermatology and Venereology (EADV) in guidelines on the use of systemic therapies in psoriasis include achieving a 75% or greater reduction in Psoriasis Area and Severity Index (PASI) score within 3 to 4 months of treatment.¹¹

In clinical practice, many patients do not achieve these treatment targets, and topical treatments alone generally are insufficient in achieving treatment goals for psoriasis.^12,13 Moreover, conventional topical treatments (eg, topical corticosteroids) used by most patients with psoriasis regardless of disease severity are associated with adverse events that can limit their use. Most topical corticosteroids have US Food and Drug Administration label restrictions relating to sites of application, duration and extent of use, and frequency of administration.^14,15

Tapinarof cream 1% (VTAMA [Dermavant Sciences, Inc]) is a first-in-class topical nonsteroidal aryl hydrocarbon receptor agonist that was approved by the US Food and Drug Administration for the treatment of plaque psoriasis in adults¹⁶ and is being studied for the treatment of plaque psoriasis in children 2 years and older as well as for atopic dermatitis in adults and children 2 years and older. In PSOARING 1 (ClinicalTrials .gov identifier NCT03956355) and PSOARING 2 (NCT03983980)—identical 12-week pivotal phase 3 trials—monotherapy with tapinarof cream 1% once daily (QD) demonstrated statistically significant efficacy vs vehicle cream and was well tolerated in adults with mild to severe plaque psoriasis (Supplementary Figure S1).¹⁷ Lebwohl et al¹⁷ reported that significantly higher PASI75 responses were observed at week 12 with tapinarof cream vs vehicle in PSOARING 1 and PSOARING 2 (36% and 48% vs 10% and 7%, respectively; both P<.0001). A significantly higher PASI90 response of 19% and 21% at week 12 also was observed with tapinarof cream vs 2% and 3% with vehicle in PSOARING 1 and PSOARING 2, respectively (P=.0005 and P<.0001).¹⁷

In PSOARING 3 (NCT04053387)—the long-term extension trial (Supplementary Figure S1)—efficacy continued to improve or was maintained beyond the two 12-week trials, with improvements in total BSA affected and PASI scores for up to 52 weeks.¹⁸ Tapinarof cream 1% QD demonstrated positive, rapid, and durable outcomes in PSOARING 3, including high rates of complete disease clearance (Physician Global Assessment [PGA] score=0 [clear])(40.9% [312/763]), durability of response on treatment with no evidence of tachyphylaxis, and a remittive effect of approximately 4 months when off therapy (defined as maintenance of a PGA score of 0 [clear] or 1 [almost clear] after first achieving a PGA score of 0).¹⁸

Herein, we report absolute treatment targets for patients with plaque psoriasis who received tapinarof cream 1% QD in the PSOARING trials that are at least as stringent as the corresponding NPF and EADV targets of achieving a total BSA affected of 1% or lower or a PASI75 response within 3 to 4 months, respectively.

METHODS

Study Design

The pooled efficacy analyses included all patients with a baseline PGA score of 2 or higher (mild or worse) before treatment with tapinarof cream 1% QD in the PSOARING trials. This included patients who received tapinarof cream 1% in PSOARING 1 and PSOARING 2 who may or may not have continued into PSOARING 3, as well as those who received the vehicle in PSOARING 1 and PSOARING 2 who enrolled in PSOARING 3 and had a PGA score of 2 or higher before receiving tapinarof cream 1%.

Trial Participants

Full methods, including inclusion and exclusion criteria, for the PSOARING trials have been previously reported.^17,18 Patients were aged 18 to 75 years and had chronic plaque psoriasis that was stable for at least 6 months before randomization; 3% to 20% total BSA affected (excluding the scalp, palms, fingernails, toenails, and soles); and a PGA score of 2 (mild), 3 (moderate), or 4 (severe) at baseline.

The clinical trials were conducted in compliance with the guidelines for Good Clinical Practice and the Declaration of Helsinki. Approval was obtained from local ethics committees or institutional review boards at each center. All patients provided written informed consent.

Trial Treatment

In PSOARING 1 and PSOARING 2, patients were randomized (2:1) to receive tapinarof cream 1% or vehicle QD for 12 weeks. In PSOARING 3 (the long-term extension trial), patients received up to 40 weeks of open-label tapinarof, followed by 4 weeks of follow-up off treatment. Patients received intermittent or continuous treatment with tapinarof cream 1% in PSOARING 3 based on PGA score: those entering the trial with a PGA score of 1 or higher received tapinarof cream 1% until complete disease clearance was achieved (defined as a PGA score of 0 [clear]). Those entering PSOARING 3 with or achieving a PGA score of 0 (clear) discontinued treatment and were observed for the duration of maintenance of a PGA score of 0 (clear) or 1 (almost clear) while off therapy (the protocol-defined “duration of remittive effect”). If disease worsening (defined as a PGA score 2 or higher) occurred, tapinarof cream 1% was restarted and continued until a PGA score of 0 (clear) was achieved. This pattern of treatment, discontinuation on achieving a PGA score of 0 (clear), and retreatment on disease worsening continued until the end of the trial. As a result, patients in PSOARING 3 could receive tapinarof cream 1% continuously or intermittently for 40 weeks.

Outcome Measures and Statistical Analyses

The assessment of total BSA affected by plaque psoriasis is an estimate of the total extent of disease as a percentage of total skin area. In the PSOARING trials, the skin surface of one hand (palm and digits) was assumed to be approximately equivalent to 1% BSA. The total BSA affected by psoriasis was evaluated from 0% to 100%, with greater total BSA affected being an indication of more extensive disease. The BSA efficacy outcomes used in these analyses were based post hoc on the proportion of patients who achieved a 1% or lower or 0.5% or lower total BSA affected. The smallest BSA affected increment that investigators were trained to measure and could record was 0.1%.

Psoriasis Area and Severity Index scores assess both the severity and extent of psoriasis. A PASI score lower than 5 often is considered indicative of mild psoriasis, a score of 5 to 10 indicates moderate disease, and a score higher than 10 indicates severe disease.¹⁹ The maximum PASI score is 72. The PASI efficacy outcomes used in these analyses were based post hoc on the proportion of patients who achieved an absolute total PASI score of 3 or lower, 2 or lower, and 1 or lower.

Efficacy analyses were based on pooled data for all patients in the PSOARING trials who had a PGA score of 2 to 4 (mild to severe) before treatment with tapinarof cream 1% in the intention-to-treat population using observed cases. Time-to-target analyses were based on Kaplan-Meier (KM) estimates using observed cases.

Safety analyses included the incidence and frequency of adverse events and were based on all patients who received tapinarof cream 1% in the PSOARING trials.

RESULTS

Baseline Patient Demographics and Disease Characteristics

The pooled efficacy analyses included 915 eligible patients (Table). At baseline, the mean (SD) age was 50.2 (13.25) years, 58.7% were male, the mean (SD) weight was 92.2 (23.67) kg, and the mean (SD) body mass index was 31.6 (7.53) kg/m². The percentage of patients with a PGA score of 2 (mild), 3 (moderate), or 4 (severe) was 13.9%, 78.1%, and 8.0%, respectively. The mean (SD) PASI score was 8.7 (4.23) and mean (SD) total BSA affected was 7.8% (4.98).

Efficacy

Achievement of BSA-Affected Targets—The NPF-recommended target of 1% or lower total BSA affected within 3 months was achieved by 40% of patients (KM estimate [95% CI, 37%-43%])(Figure 1). Across the total trial period of up to 52 weeks, a total BSA affected of 1% or lower was achieved by 61% of patients (561/915), with the median time to target of approximately 4 months (KM estimate: 120 days [95% CI, 113-141])(Supplementary Figure S2a). Approximately 50% of patients (455/915) achieved a total BSA affected of 0.5% or lower, with a median time to target of 199 days (KM estimate [95% CI, 172-228)(Figure 1; Supplementary Figure S2b).

Achievement of Absolute PASI Targets—Across the total trial period (up to 52 weeks), an absolute total PASI score of 3 or lower was achieved by 75% of patients (686/915), with a median time to achieve this of 2 months (KM estimate: 58 days [95% CI, 57-63]); approximately 67% of patients (612/915) achieved a total PASI score of 2 or lower, with a median time to achieve of 3 months (KM estimate: 87 days [95% CI, 85-110])(Figure 2; Supplementary Figures S3a and S3b). A PASI score of 1 or lower was achieved by approximately 50% of patients (460/915), with a median time to achieve of approximately 6 months (KM estimate: 185 days [95% CI, 169-218])(Figure 2, Supplementary Figure S3c).

Illustrative Case—Case photography showing the clinical response in a 63-year-old man with moderate plaque psoriasis in PSOARING 2 is shown in Figure 3. After 12 weeks of treatment with tapinarof cream 1% QD, the patient achieved all primary and secondary efficacy end points. In addition to achieving the regulatory end point of a PGA score of 0 (clear) or 1 (almost clear) and a decrease from baseline of at least 2 points, achievement of 0% total BSA affected and a total PASI score of 0 at week 12 exceeded the NPF and EADV consensus treatment targets.^10,11 Targets were achieved as early as week 4, with a total BSA affected of 0.5% or lower and a total PASI score of 1 or lower, illustrated by marked skin clearing and only faint residual erythema that completely resolved at week 12, with the absence of postinflammatory hyperpigmentation.

Safety

Safety data for the PSOARING trials have been previously reported.^17,18 The most common treatment-emergent adverse events were folliculitis, contact dermatitis, upper respiratory tract infection, and nasopharyngitis. Treatment-emergent adverse events generally were mild or moderate in severity and did not lead to trial discontinuation.^17,18

COMMENT

Treat-to-target management approaches aim to improve patient outcomes by striving to achieve optimal goals. The treat-to-target approach supports shared decision-making between clinicians and patients based on common expectations of what constitutes treatment success.

The findings of this analysis based on pooled data from a large cohort of patients demonstrate that a high proportion of patients can achieve or exceed recommended treatment targets with tapinarof cream 1% QD and maintain improvements long-term. The NPF-recommended treatment target of 1% or lower BSA affected within approximately 3 months (90 days) of treatment was achieved by 40% of tapinarof-treated patients. In addition, 1% or lower BSA affected at any time during the trials was achieved by 61% of patients (median, approximately 4 months). The analyses also indicated that PASI total scores of 3 or lower and 2 or lower were achieved by 75% and 67% of tapinarof-treated patients, respectively, within 2 to 3 months.

These findings support the previously reported efficacy of tapinarof cream, including high rates of complete disease clearance (40.9% [312/763]), durable response following treatment interruption, an off-therapy remittive effect of approximately 4 months, and good disease control on therapy with no evidence of tachyphylaxis.^17,18

CONCLUSION

Taken together with previously reported tapinarof efficacy and safety results, our findings demonstrate that a high proportion of patients treated with tapinarof cream as monotherapy can achieve aggressive treatment targets set by both US and European guidelines developed for systemic and biologic therapies. Tapinarof cream 1% QD is an effective topical treatment option for patients with plaque psoriasis that has been approved without restrictions relating to severity or extent of disease treated, duration of use, or application sites, including application to sensitive and intertriginous skin.

Acknowledgments—Editorial and medical writing support under the guidance of the authors was provided by Melanie Govender, MSc (Med), ApotheCom (United Kingdom), and was funded by Dermavant Sciences, Inc, in accordance with Good Publication Practice (GPP) guidelines.

Psoriasis is a chronic inflammatory disease affecting approximately 8 million adults in the United States and 2% of the global population.^1,2 Psoriasis causes pain, itching, and disfigurement and is associated with a physical, psychological, and economic burden that substantially affects health-related quality of life.^3-5

Setting treatment goals and treating to target are evidence-based approaches that have been successfully applied to several chronic diseases to improve patient outcomes, including diabetes, hypertension, and rheumatoid arthritis.^6-9 Treat-to-target strategies generally set low disease activity (or remission) as an overall goal and seek to achieve this using available therapeutic options as necessary. Introduced following the availability of biologics and targeted systemic therapies, treat-to-target strategies generally provide guidance on expectations of treatment but not specific treatments, as personalized treatment decisions depend on an assessment of individual patients and consider clinical and demographic features as well as preferences for available therapeutic options. If targets are not achieved in the assigned time span, adjustments can be made to the treatment approach in close consultation with the patient. If the target is reached, follow-up visits can be scheduled to ensure improvement is maintained or to establish if more aggressive goals could be selected.

Treat-to-target strategies for the management of psoriasis developed by the National Psoriasis Foundation (NPF) Medical Board include reducing the extent of psoriasis to 1% or lower total body surface area (BSA) after 3 months of treatment.¹⁰ Treatment targets endorsed by the European Academy of Dermatology and Venereology (EADV) in guidelines on the use of systemic therapies in psoriasis include achieving a 75% or greater reduction in Psoriasis Area and Severity Index (PASI) score within 3 to 4 months of treatment.¹¹

In clinical practice, many patients do not achieve these treatment targets, and topical treatments alone generally are insufficient in achieving treatment goals for psoriasis.^12,13 Moreover, conventional topical treatments (eg, topical corticosteroids) used by most patients with psoriasis regardless of disease severity are associated with adverse events that can limit their use. Most topical corticosteroids have US Food and Drug Administration label restrictions relating to sites of application, duration and extent of use, and frequency of administration.^14,15

Tapinarof cream 1% (VTAMA [Dermavant Sciences, Inc]) is a first-in-class topical nonsteroidal aryl hydrocarbon receptor agonist that was approved by the US Food and Drug Administration for the treatment of plaque psoriasis in adults¹⁶ and is being studied for the treatment of plaque psoriasis in children 2 years and older as well as for atopic dermatitis in adults and children 2 years and older. In PSOARING 1 (ClinicalTrials .gov identifier NCT03956355) and PSOARING 2 (NCT03983980)—identical 12-week pivotal phase 3 trials—monotherapy with tapinarof cream 1% once daily (QD) demonstrated statistically significant efficacy vs vehicle cream and was well tolerated in adults with mild to severe plaque psoriasis (Supplementary Figure S1).¹⁷ Lebwohl et al¹⁷ reported that significantly higher PASI75 responses were observed at week 12 with tapinarof cream vs vehicle in PSOARING 1 and PSOARING 2 (36% and 48% vs 10% and 7%, respectively; both P<.0001). A significantly higher PASI90 response of 19% and 21% at week 12 also was observed with tapinarof cream vs 2% and 3% with vehicle in PSOARING 1 and PSOARING 2, respectively (P=.0005 and P<.0001).¹⁷

In PSOARING 3 (NCT04053387)—the long-term extension trial (Supplementary Figure S1)—efficacy continued to improve or was maintained beyond the two 12-week trials, with improvements in total BSA affected and PASI scores for up to 52 weeks.¹⁸ Tapinarof cream 1% QD demonstrated positive, rapid, and durable outcomes in PSOARING 3, including high rates of complete disease clearance (Physician Global Assessment [PGA] score=0 [clear])(40.9% [312/763]), durability of response on treatment with no evidence of tachyphylaxis, and a remittive effect of approximately 4 months when off therapy (defined as maintenance of a PGA score of 0 [clear] or 1 [almost clear] after first achieving a PGA score of 0).¹⁸

Herein, we report absolute treatment targets for patients with plaque psoriasis who received tapinarof cream 1% QD in the PSOARING trials that are at least as stringent as the corresponding NPF and EADV targets of achieving a total BSA affected of 1% or lower or a PASI75 response within 3 to 4 months, respectively.

METHODS

Study Design

The pooled efficacy analyses included all patients with a baseline PGA score of 2 or higher (mild or worse) before treatment with tapinarof cream 1% QD in the PSOARING trials. This included patients who received tapinarof cream 1% in PSOARING 1 and PSOARING 2 who may or may not have continued into PSOARING 3, as well as those who received the vehicle in PSOARING 1 and PSOARING 2 who enrolled in PSOARING 3 and had a PGA score of 2 or higher before receiving tapinarof cream 1%.

Trial Participants

Full methods, including inclusion and exclusion criteria, for the PSOARING trials have been previously reported.^17,18 Patients were aged 18 to 75 years and had chronic plaque psoriasis that was stable for at least 6 months before randomization; 3% to 20% total BSA affected (excluding the scalp, palms, fingernails, toenails, and soles); and a PGA score of 2 (mild), 3 (moderate), or 4 (severe) at baseline.

The clinical trials were conducted in compliance with the guidelines for Good Clinical Practice and the Declaration of Helsinki. Approval was obtained from local ethics committees or institutional review boards at each center. All patients provided written informed consent.

Trial Treatment

In PSOARING 1 and PSOARING 2, patients were randomized (2:1) to receive tapinarof cream 1% or vehicle QD for 12 weeks. In PSOARING 3 (the long-term extension trial), patients received up to 40 weeks of open-label tapinarof, followed by 4 weeks of follow-up off treatment. Patients received intermittent or continuous treatment with tapinarof cream 1% in PSOARING 3 based on PGA score: those entering the trial with a PGA score of 1 or higher received tapinarof cream 1% until complete disease clearance was achieved (defined as a PGA score of 0 [clear]). Those entering PSOARING 3 with or achieving a PGA score of 0 (clear) discontinued treatment and were observed for the duration of maintenance of a PGA score of 0 (clear) or 1 (almost clear) while off therapy (the protocol-defined “duration of remittive effect”). If disease worsening (defined as a PGA score 2 or higher) occurred, tapinarof cream 1% was restarted and continued until a PGA score of 0 (clear) was achieved. This pattern of treatment, discontinuation on achieving a PGA score of 0 (clear), and retreatment on disease worsening continued until the end of the trial. As a result, patients in PSOARING 3 could receive tapinarof cream 1% continuously or intermittently for 40 weeks.

Outcome Measures and Statistical Analyses

The assessment of total BSA affected by plaque psoriasis is an estimate of the total extent of disease as a percentage of total skin area. In the PSOARING trials, the skin surface of one hand (palm and digits) was assumed to be approximately equivalent to 1% BSA. The total BSA affected by psoriasis was evaluated from 0% to 100%, with greater total BSA affected being an indication of more extensive disease. The BSA efficacy outcomes used in these analyses were based post hoc on the proportion of patients who achieved a 1% or lower or 0.5% or lower total BSA affected. The smallest BSA affected increment that investigators were trained to measure and could record was 0.1%.

Psoriasis Area and Severity Index scores assess both the severity and extent of psoriasis. A PASI score lower than 5 often is considered indicative of mild psoriasis, a score of 5 to 10 indicates moderate disease, and a score higher than 10 indicates severe disease.¹⁹ The maximum PASI score is 72. The PASI efficacy outcomes used in these analyses were based post hoc on the proportion of patients who achieved an absolute total PASI score of 3 or lower, 2 or lower, and 1 or lower.

Efficacy analyses were based on pooled data for all patients in the PSOARING trials who had a PGA score of 2 to 4 (mild to severe) before treatment with tapinarof cream 1% in the intention-to-treat population using observed cases. Time-to-target analyses were based on Kaplan-Meier (KM) estimates using observed cases.

Safety analyses included the incidence and frequency of adverse events and were based on all patients who received tapinarof cream 1% in the PSOARING trials.

RESULTS

Baseline Patient Demographics and Disease Characteristics

The pooled efficacy analyses included 915 eligible patients (Table). At baseline, the mean (SD) age was 50.2 (13.25) years, 58.7% were male, the mean (SD) weight was 92.2 (23.67) kg, and the mean (SD) body mass index was 31.6 (7.53) kg/m². The percentage of patients with a PGA score of 2 (mild), 3 (moderate), or 4 (severe) was 13.9%, 78.1%, and 8.0%, respectively. The mean (SD) PASI score was 8.7 (4.23) and mean (SD) total BSA affected was 7.8% (4.98).

Efficacy

Achievement of BSA-Affected Targets—The NPF-recommended target of 1% or lower total BSA affected within 3 months was achieved by 40% of patients (KM estimate [95% CI, 37%-43%])(Figure 1). Across the total trial period of up to 52 weeks, a total BSA affected of 1% or lower was achieved by 61% of patients (561/915), with the median time to target of approximately 4 months (KM estimate: 120 days [95% CI, 113-141])(Supplementary Figure S2a). Approximately 50% of patients (455/915) achieved a total BSA affected of 0.5% or lower, with a median time to target of 199 days (KM estimate [95% CI, 172-228)(Figure 1; Supplementary Figure S2b).

Achievement of Absolute PASI Targets—Across the total trial period (up to 52 weeks), an absolute total PASI score of 3 or lower was achieved by 75% of patients (686/915), with a median time to achieve this of 2 months (KM estimate: 58 days [95% CI, 57-63]); approximately 67% of patients (612/915) achieved a total PASI score of 2 or lower, with a median time to achieve of 3 months (KM estimate: 87 days [95% CI, 85-110])(Figure 2; Supplementary Figures S3a and S3b). A PASI score of 1 or lower was achieved by approximately 50% of patients (460/915), with a median time to achieve of approximately 6 months (KM estimate: 185 days [95% CI, 169-218])(Figure 2, Supplementary Figure S3c).

Illustrative Case—Case photography showing the clinical response in a 63-year-old man with moderate plaque psoriasis in PSOARING 2 is shown in Figure 3. After 12 weeks of treatment with tapinarof cream 1% QD, the patient achieved all primary and secondary efficacy end points. In addition to achieving the regulatory end point of a PGA score of 0 (clear) or 1 (almost clear) and a decrease from baseline of at least 2 points, achievement of 0% total BSA affected and a total PASI score of 0 at week 12 exceeded the NPF and EADV consensus treatment targets.^10,11 Targets were achieved as early as week 4, with a total BSA affected of 0.5% or lower and a total PASI score of 1 or lower, illustrated by marked skin clearing and only faint residual erythema that completely resolved at week 12, with the absence of postinflammatory hyperpigmentation.

Safety

Safety data for the PSOARING trials have been previously reported.^17,18 The most common treatment-emergent adverse events were folliculitis, contact dermatitis, upper respiratory tract infection, and nasopharyngitis. Treatment-emergent adverse events generally were mild or moderate in severity and did not lead to trial discontinuation.^17,18

COMMENT

Treat-to-target management approaches aim to improve patient outcomes by striving to achieve optimal goals. The treat-to-target approach supports shared decision-making between clinicians and patients based on common expectations of what constitutes treatment success.

The findings of this analysis based on pooled data from a large cohort of patients demonstrate that a high proportion of patients can achieve or exceed recommended treatment targets with tapinarof cream 1% QD and maintain improvements long-term. The NPF-recommended treatment target of 1% or lower BSA affected within approximately 3 months (90 days) of treatment was achieved by 40% of tapinarof-treated patients. In addition, 1% or lower BSA affected at any time during the trials was achieved by 61% of patients (median, approximately 4 months). The analyses also indicated that PASI total scores of 3 or lower and 2 or lower were achieved by 75% and 67% of tapinarof-treated patients, respectively, within 2 to 3 months.

These findings support the previously reported efficacy of tapinarof cream, including high rates of complete disease clearance (40.9% [312/763]), durable response following treatment interruption, an off-therapy remittive effect of approximately 4 months, and good disease control on therapy with no evidence of tachyphylaxis.^17,18

CONCLUSION

Taken together with previously reported tapinarof efficacy and safety results, our findings demonstrate that a high proportion of patients treated with tapinarof cream as monotherapy can achieve aggressive treatment targets set by both US and European guidelines developed for systemic and biologic therapies. Tapinarof cream 1% QD is an effective topical treatment option for patients with plaque psoriasis that has been approved without restrictions relating to severity or extent of disease treated, duration of use, or application sites, including application to sensitive and intertriginous skin.

Acknowledgments—Editorial and medical writing support under the guidance of the authors was provided by Melanie Govender, MSc (Med), ApotheCom (United Kingdom), and was funded by Dermavant Sciences, Inc, in accordance with Good Publication Practice (GPP) guidelines.

To the Editor:

Skin cancers are extremely common worldwide. Malignant melanomas comprise approximately 1 in 5 of these cancers. Exposure to UV radiation is postulated to be responsible for a global rise in melanoma cases over the past 50 years.¹ Pediatric melanoma is a particularly rare condition that affects approximately 6 in every 1 million children.² Melanoma incidence in children ranges by age, increasing by approximately 10-fold from age 1 to 4 years to age 15 to 19 years. Tumor ulceration is a feature more commonly seen among children younger than 10 years and is associated with worse outcomes. Tumor thickness and ulceration strongly predict sentinel lymph node metastases among children, which also is associated with a poor prognosis.³

A recent study evaluating stage IV melanoma survival rates in adolescents and young adults (AYAs) vs older adults found that survival is much worse among AYAs. Thicker tumors and public health insurance also were associated with worse survival rates for AYAs, while early detection was associated with better survival rates.⁴

Health disparities and their role in the prognosis of pediatric melanoma is another important factor. One study analyzed this relationship at the state level using Texas Cancer Registry data (1995-2009).⁵ Patients’ socioeconomic status (SES) and driving distance to the nearest pediatric cancer care center were included in the analysis. Hispanic children were found to be 3 times more likely to present with advanced disease than non-Hispanic White children. Although SES and distance to the nearest treatment center were not found to affect the melanoma stage at presentation, Hispanic ethnicity or being in the lowest SES quartile were correlated with a higher mortality risk.⁵

When considering specific subtypes of melanoma, acral lentiginous melanoma (ALM) is known to develop in patients with skin of color. A 2023 study by Holman et al⁶ reported that the percentage of melanomas that were ALMs ranged from 0.8% in non-Hispanic White individuals to 19.1% in Hispanic Black, American Indian/Alaska Native, and Asian/Pacific Islander individuals. However, ALM is rare in children. In a pooled cohort study with patient information retrieved from the nationwide Dutch Pathology Registry, only 1 child and 1 adolescent were found to have ALM across a total of 514 patients.⁷ We sought to analyze pediatric melanoma outcomes based on race and other barriers to appropriate care.

We conducted a search of the Surveillance, Epidemiology, and End Results (SEER) database from January 1995 to December 2016 for patients aged 21 years and younger with a primary melanoma diagnosis. The primary outcome was the 5-year survival rate. County-level SES variables were used to calculate a prosperity index. Kaplan-Meier analysis and Cox proportional hazards model were used to compare 5-year survival rates among the different racial/ethnic groups.

A sample of 2742 patients was identified during the study period and followed for 5 years. Eighty-two percent were White, 6% Hispanic, 2% Asian, 1% Black, and 5% classified as other/unknown race (data were missing for 4%). The cohort was predominantly female (61%). White patients were more likely to present with localized disease than any other race/ethnicity (83% vs 65% in Hispanic, 60% in Asian/Pacific Islander, and 45% in Black patients [P<.05]).

Black and Hispanic patients had the worst 5-year survival rates on bivariate analysis. On multivariate analysis, this finding remained significant for Hispanic patients when compared with White patients (hazard ratio, 2.37 [P<.05]). Increasing age, male sex, advanced stage at diagnosis, and failure to receive surgery were associated with increased odds of mortality.

Patients with regionalized and disseminated disease had increased odds of mortality (6.16 and 64.45, respectively; P<.05) compared with patients with localized disease. Socioeconomic status and urbanization were not found to influence 5-year survival rates.

Pediatric melanoma often presents a clinical challenge with special considerations. Pediatric-specific predisposing risk factors for melanoma and an atypical clinical presentation are some of the major concerns that necessitate a tailored approach to this malignancy, especially among different age groups, skin types, and racial and socioeconomic groups.⁵ 

Standard ABCDE criteria often are inadequate for accurate detection of pediatric melanomas. Initial lesions often manifest as raised, red, amelanotic lesions mimicking pyogenic granulomas. Lesions tend to be very small (<6 mm in diameter) and can be uniform in color, thereby making the melanoma more difficult to detect compared to the characteristic findings in adults.⁵ Bleeding or ulceration often can be a warning sign during physical examination.

With regard to incidence, pediatric melanoma is relatively rare. Since the 1970s, the incidence of pediatric melanoma has been increasing; however, a recent analysis of the SEER database showed a decreasing trend from 2000 to 2010.⁴

Our analysis of the SEER data showed an increased risk for pediatric melanoma in older adolescents. In addition, the incidence of pediatric melanoma was higher in females of all racial groups except Asian/Pacific Islander individuals. However, SES was not found to significantly influence the 5-year survival rate in pediatric melanoma.

White pediatric patients were more likely to present with localized disease compared with other races. Pediatric melanoma patients with regional disease had a 6-fold increase in mortality rate vs those with localized disease; those with disseminated disease had a 65-fold higher risk. Consistent with this, Black and Hispanic patients had the worst 5-year survival rates on bivariate analysis.

These findings suggest a relationship between race, melanoma spread, and disease severity. Patient education programs need to be directed specifically to minority groups to improve their knowledge on evolving skin lesions and sun protection practices. Physicians also need to have heightened suspicion and better knowledge of the unique traits of pediatric melanoma.⁵ 

Given the considerable influence these disparities can have on melanoma outcomes, further research is needed to characterize outcomes based on race and determine obstacles to appropriate care. Improved public outreach initiatives that accommodate specific cultural barriers (eg, language, traditional patterns of behavior) also are required to improve current circumstances.

To the Editor:

Skin cancers are extremely common worldwide. Malignant melanomas comprise approximately 1 in 5 of these cancers. Exposure to UV radiation is postulated to be responsible for a global rise in melanoma cases over the past 50 years.¹ Pediatric melanoma is a particularly rare condition that affects approximately 6 in every 1 million children.² Melanoma incidence in children ranges by age, increasing by approximately 10-fold from age 1 to 4 years to age 15 to 19 years. Tumor ulceration is a feature more commonly seen among children younger than 10 years and is associated with worse outcomes. Tumor thickness and ulceration strongly predict sentinel lymph node metastases among children, which also is associated with a poor prognosis.³

A recent study evaluating stage IV melanoma survival rates in adolescents and young adults (AYAs) vs older adults found that survival is much worse among AYAs. Thicker tumors and public health insurance also were associated with worse survival rates for AYAs, while early detection was associated with better survival rates.⁴

Health disparities and their role in the prognosis of pediatric melanoma is another important factor. One study analyzed this relationship at the state level using Texas Cancer Registry data (1995-2009).⁵ Patients’ socioeconomic status (SES) and driving distance to the nearest pediatric cancer care center were included in the analysis. Hispanic children were found to be 3 times more likely to present with advanced disease than non-Hispanic White children. Although SES and distance to the nearest treatment center were not found to affect the melanoma stage at presentation, Hispanic ethnicity or being in the lowest SES quartile were correlated with a higher mortality risk.⁵

When considering specific subtypes of melanoma, acral lentiginous melanoma (ALM) is known to develop in patients with skin of color. A 2023 study by Holman et al⁶ reported that the percentage of melanomas that were ALMs ranged from 0.8% in non-Hispanic White individuals to 19.1% in Hispanic Black, American Indian/Alaska Native, and Asian/Pacific Islander individuals. However, ALM is rare in children. In a pooled cohort study with patient information retrieved from the nationwide Dutch Pathology Registry, only 1 child and 1 adolescent were found to have ALM across a total of 514 patients.⁷ We sought to analyze pediatric melanoma outcomes based on race and other barriers to appropriate care.

We conducted a search of the Surveillance, Epidemiology, and End Results (SEER) database from January 1995 to December 2016 for patients aged 21 years and younger with a primary melanoma diagnosis. The primary outcome was the 5-year survival rate. County-level SES variables were used to calculate a prosperity index. Kaplan-Meier analysis and Cox proportional hazards model were used to compare 5-year survival rates among the different racial/ethnic groups.

A sample of 2742 patients was identified during the study period and followed for 5 years. Eighty-two percent were White, 6% Hispanic, 2% Asian, 1% Black, and 5% classified as other/unknown race (data were missing for 4%). The cohort was predominantly female (61%). White patients were more likely to present with localized disease than any other race/ethnicity (83% vs 65% in Hispanic, 60% in Asian/Pacific Islander, and 45% in Black patients [P<.05]).

Black and Hispanic patients had the worst 5-year survival rates on bivariate analysis. On multivariate analysis, this finding remained significant for Hispanic patients when compared with White patients (hazard ratio, 2.37 [P<.05]). Increasing age, male sex, advanced stage at diagnosis, and failure to receive surgery were associated with increased odds of mortality.

Patients with regionalized and disseminated disease had increased odds of mortality (6.16 and 64.45, respectively; P<.05) compared with patients with localized disease. Socioeconomic status and urbanization were not found to influence 5-year survival rates.

Pediatric melanoma often presents a clinical challenge with special considerations. Pediatric-specific predisposing risk factors for melanoma and an atypical clinical presentation are some of the major concerns that necessitate a tailored approach to this malignancy, especially among different age groups, skin types, and racial and socioeconomic groups.⁵ 

Standard ABCDE criteria often are inadequate for accurate detection of pediatric melanomas. Initial lesions often manifest as raised, red, amelanotic lesions mimicking pyogenic granulomas. Lesions tend to be very small (<6 mm in diameter) and can be uniform in color, thereby making the melanoma more difficult to detect compared to the characteristic findings in adults.⁵ Bleeding or ulceration often can be a warning sign during physical examination.

With regard to incidence, pediatric melanoma is relatively rare. Since the 1970s, the incidence of pediatric melanoma has been increasing; however, a recent analysis of the SEER database showed a decreasing trend from 2000 to 2010.⁴

Our analysis of the SEER data showed an increased risk for pediatric melanoma in older adolescents. In addition, the incidence of pediatric melanoma was higher in females of all racial groups except Asian/Pacific Islander individuals. However, SES was not found to significantly influence the 5-year survival rate in pediatric melanoma.

White pediatric patients were more likely to present with localized disease compared with other races. Pediatric melanoma patients with regional disease had a 6-fold increase in mortality rate vs those with localized disease; those with disseminated disease had a 65-fold higher risk. Consistent with this, Black and Hispanic patients had the worst 5-year survival rates on bivariate analysis.

These findings suggest a relationship between race, melanoma spread, and disease severity. Patient education programs need to be directed specifically to minority groups to improve their knowledge on evolving skin lesions and sun protection practices. Physicians also need to have heightened suspicion and better knowledge of the unique traits of pediatric melanoma.⁵ 

Given the considerable influence these disparities can have on melanoma outcomes, further research is needed to characterize outcomes based on race and determine obstacles to appropriate care. Improved public outreach initiatives that accommodate specific cultural barriers (eg, language, traditional patterns of behavior) also are required to improve current circumstances.

To the Editor:

Skin cancers are extremely common worldwide. Malignant melanomas comprise approximately 1 in 5 of these cancers. Exposure to UV radiation is postulated to be responsible for a global rise in melanoma cases over the past 50 years.¹ Pediatric melanoma is a particularly rare condition that affects approximately 6 in every 1 million children.² Melanoma incidence in children ranges by age, increasing by approximately 10-fold from age 1 to 4 years to age 15 to 19 years. Tumor ulceration is a feature more commonly seen among children younger than 10 years and is associated with worse outcomes. Tumor thickness and ulceration strongly predict sentinel lymph node metastases among children, which also is associated with a poor prognosis.³

A recent study evaluating stage IV melanoma survival rates in adolescents and young adults (AYAs) vs older adults found that survival is much worse among AYAs. Thicker tumors and public health insurance also were associated with worse survival rates for AYAs, while early detection was associated with better survival rates.⁴

Health disparities and their role in the prognosis of pediatric melanoma is another important factor. One study analyzed this relationship at the state level using Texas Cancer Registry data (1995-2009).⁵ Patients’ socioeconomic status (SES) and driving distance to the nearest pediatric cancer care center were included in the analysis. Hispanic children were found to be 3 times more likely to present with advanced disease than non-Hispanic White children. Although SES and distance to the nearest treatment center were not found to affect the melanoma stage at presentation, Hispanic ethnicity or being in the lowest SES quartile were correlated with a higher mortality risk.⁵

When considering specific subtypes of melanoma, acral lentiginous melanoma (ALM) is known to develop in patients with skin of color. A 2023 study by Holman et al⁶ reported that the percentage of melanomas that were ALMs ranged from 0.8% in non-Hispanic White individuals to 19.1% in Hispanic Black, American Indian/Alaska Native, and Asian/Pacific Islander individuals. However, ALM is rare in children. In a pooled cohort study with patient information retrieved from the nationwide Dutch Pathology Registry, only 1 child and 1 adolescent were found to have ALM across a total of 514 patients.⁷ We sought to analyze pediatric melanoma outcomes based on race and other barriers to appropriate care.

We conducted a search of the Surveillance, Epidemiology, and End Results (SEER) database from January 1995 to December 2016 for patients aged 21 years and younger with a primary melanoma diagnosis. The primary outcome was the 5-year survival rate. County-level SES variables were used to calculate a prosperity index. Kaplan-Meier analysis and Cox proportional hazards model were used to compare 5-year survival rates among the different racial/ethnic groups.

A sample of 2742 patients was identified during the study period and followed for 5 years. Eighty-two percent were White, 6% Hispanic, 2% Asian, 1% Black, and 5% classified as other/unknown race (data were missing for 4%). The cohort was predominantly female (61%). White patients were more likely to present with localized disease than any other race/ethnicity (83% vs 65% in Hispanic, 60% in Asian/Pacific Islander, and 45% in Black patients [P<.05]).

Black and Hispanic patients had the worst 5-year survival rates on bivariate analysis. On multivariate analysis, this finding remained significant for Hispanic patients when compared with White patients (hazard ratio, 2.37 [P<.05]). Increasing age, male sex, advanced stage at diagnosis, and failure to receive surgery were associated with increased odds of mortality.

Patients with regionalized and disseminated disease had increased odds of mortality (6.16 and 64.45, respectively; P<.05) compared with patients with localized disease. Socioeconomic status and urbanization were not found to influence 5-year survival rates.

Pediatric melanoma often presents a clinical challenge with special considerations. Pediatric-specific predisposing risk factors for melanoma and an atypical clinical presentation are some of the major concerns that necessitate a tailored approach to this malignancy, especially among different age groups, skin types, and racial and socioeconomic groups.⁵ 

Standard ABCDE criteria often are inadequate for accurate detection of pediatric melanomas. Initial lesions often manifest as raised, red, amelanotic lesions mimicking pyogenic granulomas. Lesions tend to be very small (<6 mm in diameter) and can be uniform in color, thereby making the melanoma more difficult to detect compared to the characteristic findings in adults.⁵ Bleeding or ulceration often can be a warning sign during physical examination.

With regard to incidence, pediatric melanoma is relatively rare. Since the 1970s, the incidence of pediatric melanoma has been increasing; however, a recent analysis of the SEER database showed a decreasing trend from 2000 to 2010.⁴

Our analysis of the SEER data showed an increased risk for pediatric melanoma in older adolescents. In addition, the incidence of pediatric melanoma was higher in females of all racial groups except Asian/Pacific Islander individuals. However, SES was not found to significantly influence the 5-year survival rate in pediatric melanoma.

White pediatric patients were more likely to present with localized disease compared with other races. Pediatric melanoma patients with regional disease had a 6-fold increase in mortality rate vs those with localized disease; those with disseminated disease had a 65-fold higher risk. Consistent with this, Black and Hispanic patients had the worst 5-year survival rates on bivariate analysis.

These findings suggest a relationship between race, melanoma spread, and disease severity. Patient education programs need to be directed specifically to minority groups to improve their knowledge on evolving skin lesions and sun protection practices. Physicians also need to have heightened suspicion and better knowledge of the unique traits of pediatric melanoma.⁵ 

Given the considerable influence these disparities can have on melanoma outcomes, further research is needed to characterize outcomes based on race and determine obstacles to appropriate care. Improved public outreach initiatives that accommodate specific cultural barriers (eg, language, traditional patterns of behavior) also are required to improve current circumstances.

Colorectal cancer (CRC) is the third-most diagnosed cancer after breast and lung cancer, and is the second leading cause of global cancer related deaths.¹ In 2023 in the United States, > 150,000 individuals were diagnosed with CRC and 52,000 died.²

Colonoscopy is an effective CRC screening method and the lone method recommended for polyp surveillance. Inadequate bowel preparation (IBP) has been estimated to occur in about 6% to 26% of colonoscopies. ^3,4 The prevalence varies based on a variety of comorbidities, including immobility, diabetes mellitus, neurologic disorders, and use of opioids, with more occurrences of IBP noted in older adult, non-English speaking, and male individuals.^4-6

The quality of bowel preparation is integral to the effectiveness of screening and surveillance colonoscopies. IBP has been associated with missed adenomas and significantly lower adenoma detection rates.^7-9 In particular, IBP is independently associated with an increased risk of CRC in the future.³ Accordingly, the US Multisociety Task Force recommends repeat colonoscopies for individuals with IBP within 1 year.¹⁰ Ensuring that these individuals receive repeat colonoscopies is an essential part of CRC prevention. The benefit of repeat colonoscopy after IBP is highlighted by a retrospective analysis from Fung and colleagues that showed 81% of repeat colonoscopies had adequate bowel preparation, with higher numbers of adenomas detected on repeat compared to initial colonoscopies.¹¹

Given the impact of bowel preparation quality on the diagnostic capability of the colonoscopy, adherence to guidelines for repeat colonoscopies in cases of IBP is paramount for effective CRC prevention. This study aims to measure the frequency of repeat colonoscopy after IBP and the factors associated with adherence to recommendations.

METHODS

Individuals who underwent colonoscopy at the Minneapolis Veterans Affairs Medical Center (MVAMC) from January 1, 2016, to October 19, 2021, were identified to allow for 400 days of follow-up from the index colonoscopy to the data collection date. During the COVID-19 pandemic, the colonoscopy procedure capacity was reduced by 50% from June 1, 2020, to December 1, 2020, delaying nonurgent procedures, including screening and surveillance colonoscopies.

Individuals who underwent colonoscopy for CRC screening or polyp surveillance, or following a positive fecal immunohistochemistry test (FIT) or virtual computed tomography colonoscopy were included. Patients with colonoscopy indications for iron deficiency anemia, gastrointestinal bleeding, disease activity assessment of inflammatory bowel disease, abdominal pain, or changes in bowel movement pattern were excluded. IBP was defined as recording a Boston Bowel Preparation Scale (BBPS) score of < 6, or < 2 in any segment, or described as poor or inadequate using the Aronchick scale.

Age, sex, race, marital status, distance to MVAMC, smoking status, comorbidities, and concurrent medication use, including antiplatelet, anticoagulation, and prescription opiates at the time of index colonoscopy were obtained from the Veterans Health Administration (VHA) Corporate Data Warehouse (CDW) using structured query language processing of colonoscopy procedure notes to extract preparation scores and other procedure information. The CDW contains extracts from VHA clinical and administrative systems that contain complete clinical data from October 1999.¹² Current smoking status was defined as any smoking activity at the time the questionnaire was administered during a routine clinic visit within 400 days from the index colonoscopy.

Only individuals who were recommended to have repeat colonoscopy within 1 year were included. The intervals of 365 days and 400 days (1 year + about 1 additional month) were used in the event that the individual had a delay in scheduling their 1-year repeat colonoscopy. For individuals who did not undergo a colonoscopy at MVAMC within 400 days, a manual chart review of all available records was performed to determine whether a colonoscopy was performed at a non-VA facility.

Patients received written instructions for bowel preparation 2 weeks prior to the procedure. The preparation included magnesium citrate and a split dose of 4 liters of polyethylene glycol. Patients were also advised to start a low-fiber diet 3 days prior to the procedure and a clear liquid diet the day before the procedure. Patients with a history of IBP or those undergoing procedures with anesthesia received an additional 2 liters for a total of 6 liters of polyethylene glycol.

Statistical analysis

Baseline characteristics were reported as mean (SD) or median and IQR for continuous variables and percentage for categorical variables. Individuals who returned for colonoscopy within 400 days were compared to those who did not identify factors associated with adherence to recommendations. The data on individuals who returned for colonoscopy within 400 days were also analyzed for additional minor delays in the timing of the repeat colonoscopy. Continuous data were compared using Mann-Whitney U tests. Categorical data were compared using X² or Fisher exact tests. Missing data were imputed from the analyses. All analyses were performed using SAS JMP Pro version 16. P < .05 was considered statistically significant.

RESULTS

There were 18,241 total colonoscopies performed between January 1, 2016, to October 19, 2021, and 13,818 colonoscopies had indications for screening for colon cancer, positive FIT, virtual colonoscopy, or surveillance. Of the 10,466 unique patients there were 5369 patients for polyp surveillance, 4054 patients for CRC screening, and 1043 patients for positive FIT or virtual colonoscopy. Of these, 571 individuals (5.5%) had IBP. Repeat colonoscopy within 1 year was recommended for 485 individuals (84.9%) who were included in this study (153 CRC screenings and 46 positive FITs) but not for 86 individuals (15.1%) (Figure 1). Among included patients, the mean (SD) age was 66.6 (7.2) years, and the majority were male (460 [94.8%]) and White (435 [89.7%]) (Table). Two hundred and forty-three (50.1%) were married.

Adherence to Recommended Interval Colonoscopy

Of the 485 patients with IBP who were recommended for follow-up colonoscopy, 287 (59.2%) had a colonoscopy within 1 year, and 198 (40.8%) did not; 17 patients (13.5%) had repeat colonoscopy within 366 to 400 days. Five (1.0%) individuals had a repeat colonoscopy the next day, and 77 (15.9%) had a repeat colonoscopy within 7 days. One hundred and twentysix (26.0%) individuals underwent no repeat colonoscopy during the study period (Figure 2).

To account for the COVID-19 pandemic, the adherence rate of repeat colonoscopy within 1 year prepandemic (January 1, 2016, to December 1, 2018) was calculated along with the adherence rate postpandemic (January 1, 2019 to the end of the study). The rates were similar: 199 of 330 (60.3%) individuals prepandemic vs 88 of 155 (56.8%) individuals postpandemic (Figure 3).

Significant Associations

Age, sex, and race were not associated with adherence to repeat colonoscopy within 1 year. Individuals living ≤ 40 miles from the endoscopy center were more likely to undergo a repeat colonoscopy within 1 year compared with those who lived > 40 miles away (61.7% vs 51.0%, P = .02). Current smoking status was associated with a lower rate of repeat colonoscopy within 1 year (25.8% vs 35.9%; P = .02). There were no differences with respect to inflammatory bowel disease diagnosis, mental health diagnosis, diabetes mellitus, cirrhosis, or medications used, including opioids, anticoagulation, and antiplatelet therapy.

Outcomes

Among individuals who had a repeat colonoscopy the day after the index colonoscopy, 53 of 56 individuals (94.6%) had adequate bowel preparation. Among individuals who had a repeat colonoscopy within 7 days, 70 of 77 (90.9%) had adequate bowel preparation. Of 287 individuals with a repeat colonoscopy within 1 year, 251 (87.5%) had adequate bowel preparation on the repeat colonoscopy. By 400 days after the index colonoscopy, 268 of 304 individuals (88.2%) had adequate bowel preparation.

In this study conducted at a large VA medical center, we found that 5.6% of individuals undergoing colonoscopies had IBP, a rate comparable to prior studies (6% to 26%).^3,4 Only 59.2% of individuals underwent repeat colonoscopies within 1 year, as recommended after an index colonoscopy with IBP. Smoking and living longer distances (> 40 miles) from the endoscopy center were associated with a decreased adherence to the repeat colonoscopy recommendation.

Current guidelines recommend repeat colonoscopy for individuals with IBP within 1 year.¹⁰ In cases of IBP, the advanced adenoma miss rate is 36% upon repeat colonoscopy within 1 year.¹³ Despite the importance of a follow-up colonoscopy, clinician adherence with this recommendation remains low.^10,14,15 However, in this study cohort, 485 of 571 individuals with IBP (84.9%) received recommendations for a repeat colonoscopy within 1 year. In the US, only 31.9% of 260,314 colonoscopies with IBP included recommendations for a follow-up colonoscopy within 1 year.¹⁴ This could be related to variations in endoscopist practice as well as patient risk factors for developing polyps, including family history of cancer and personal history of prior polyps. The findings of multiple polyps, high-risk adenomas, and cancer on the index colonoscopy also influences the endoscopist for repeat colonoscopy within 1 year.¹⁴

The timing for repeat colonoscopies within 1 year will be determined by the patients, clinicians, and available scheduling. In this study, the earlier repeat colonoscopies, especially those occurring the day after the index colonoscopy, had the highest success rate of adequate bowel preparation. In a prior study, repeating colonoscopies within the same day or the next day was also found to have a higher rate of adequate bowel preparation than repeat colonoscopies within 1 year (88.9% vs 83.5%).¹⁶

Ensuring the return of individuals with IBP for repeat colonoscopy is a challenging task. We identified that individuals who live further away from MVAMC and current smokers had a decreased probability of returning for a repeat colonoscopy. Toro and colleagues found a 68.7% return rate for a repeat colonoscopy within 1 year with individuals age ≥ 60 years, and patients who were White were less likely to proceed with a repeat colonoscopy within 1 year.¹⁷ The study did not provide data regarding smoking status or distance to the endoscopy center.¹⁷ In a prior study of veterans, the dual diagnosis of psychiatric disorders and substance abuse was associated with missed and canceled colonoscopy appointments.¹⁸ The distance to the endoscopy center has also been previously identified as a barrier to a colonoscopy following an abnormal FIT.¹⁹ Although not identified in this study due to the homogenous demographic profile, social determinants of health such as socioeconomic status, education, and insurance coverage are known barriers to cancer screening but were not evaluated in this study.²⁰

Based on the identified risk factors, we have created a model for utilizing those risk factors to identify individuals at higher risk for noncompliance (ie, those who live further away from the endoscopy center or currently smoke). These individuals are proactively offered to use an intraprocedural bowel cleansing device to achieve adequate bowel preparation or priority rescheduling for a next-day colonoscopy.

Limitations

This study was a single-center study of the veteran population, which is predominantly White and male, thus limiting generalizability. The study is also limited by minimal available data on adenoma detection and colon cancer incidence on subsequent colonoscopies.

CONCLUSIONS

The rate of IBP was 5.5% in individuals undergoing colonoscopy for colon cancer screening, surveillance, positive FIT, or computed tomography colonography. Only 59.2% of those with IBP underwent the recommended repeat colonoscopy within 1 year. Smoking and distance to the endoscopy center were associated with a decreased adherence to the repeat colonoscopy recommendation. Additional efforts are needed to ensure that individuals with IBP return for timely repeat colonoscopy.

Colorectal cancer (CRC) is the third-most diagnosed cancer after breast and lung cancer, and is the second leading cause of global cancer related deaths.¹ In 2023 in the United States, > 150,000 individuals were diagnosed with CRC and 52,000 died.²

Colonoscopy is an effective CRC screening method and the lone method recommended for polyp surveillance. Inadequate bowel preparation (IBP) has been estimated to occur in about 6% to 26% of colonoscopies. ^3,4 The prevalence varies based on a variety of comorbidities, including immobility, diabetes mellitus, neurologic disorders, and use of opioids, with more occurrences of IBP noted in older adult, non-English speaking, and male individuals.^4-6

The quality of bowel preparation is integral to the effectiveness of screening and surveillance colonoscopies. IBP has been associated with missed adenomas and significantly lower adenoma detection rates.^7-9 In particular, IBP is independently associated with an increased risk of CRC in the future.³ Accordingly, the US Multisociety Task Force recommends repeat colonoscopies for individuals with IBP within 1 year.¹⁰ Ensuring that these individuals receive repeat colonoscopies is an essential part of CRC prevention. The benefit of repeat colonoscopy after IBP is highlighted by a retrospective analysis from Fung and colleagues that showed 81% of repeat colonoscopies had adequate bowel preparation, with higher numbers of adenomas detected on repeat compared to initial colonoscopies.¹¹

Given the impact of bowel preparation quality on the diagnostic capability of the colonoscopy, adherence to guidelines for repeat colonoscopies in cases of IBP is paramount for effective CRC prevention. This study aims to measure the frequency of repeat colonoscopy after IBP and the factors associated with adherence to recommendations.

METHODS

Individuals who underwent colonoscopy at the Minneapolis Veterans Affairs Medical Center (MVAMC) from January 1, 2016, to October 19, 2021, were identified to allow for 400 days of follow-up from the index colonoscopy to the data collection date. During the COVID-19 pandemic, the colonoscopy procedure capacity was reduced by 50% from June 1, 2020, to December 1, 2020, delaying nonurgent procedures, including screening and surveillance colonoscopies.

Individuals who underwent colonoscopy for CRC screening or polyp surveillance, or following a positive fecal immunohistochemistry test (FIT) or virtual computed tomography colonoscopy were included. Patients with colonoscopy indications for iron deficiency anemia, gastrointestinal bleeding, disease activity assessment of inflammatory bowel disease, abdominal pain, or changes in bowel movement pattern were excluded. IBP was defined as recording a Boston Bowel Preparation Scale (BBPS) score of < 6, or < 2 in any segment, or described as poor or inadequate using the Aronchick scale.

Age, sex, race, marital status, distance to MVAMC, smoking status, comorbidities, and concurrent medication use, including antiplatelet, anticoagulation, and prescription opiates at the time of index colonoscopy were obtained from the Veterans Health Administration (VHA) Corporate Data Warehouse (CDW) using structured query language processing of colonoscopy procedure notes to extract preparation scores and other procedure information. The CDW contains extracts from VHA clinical and administrative systems that contain complete clinical data from October 1999.¹² Current smoking status was defined as any smoking activity at the time the questionnaire was administered during a routine clinic visit within 400 days from the index colonoscopy.

Only individuals who were recommended to have repeat colonoscopy within 1 year were included. The intervals of 365 days and 400 days (1 year + about 1 additional month) were used in the event that the individual had a delay in scheduling their 1-year repeat colonoscopy. For individuals who did not undergo a colonoscopy at MVAMC within 400 days, a manual chart review of all available records was performed to determine whether a colonoscopy was performed at a non-VA facility.

Patients received written instructions for bowel preparation 2 weeks prior to the procedure. The preparation included magnesium citrate and a split dose of 4 liters of polyethylene glycol. Patients were also advised to start a low-fiber diet 3 days prior to the procedure and a clear liquid diet the day before the procedure. Patients with a history of IBP or those undergoing procedures with anesthesia received an additional 2 liters for a total of 6 liters of polyethylene glycol.

Statistical analysis

Baseline characteristics were reported as mean (SD) or median and IQR for continuous variables and percentage for categorical variables. Individuals who returned for colonoscopy within 400 days were compared to those who did not identify factors associated with adherence to recommendations. The data on individuals who returned for colonoscopy within 400 days were also analyzed for additional minor delays in the timing of the repeat colonoscopy. Continuous data were compared using Mann-Whitney U tests. Categorical data were compared using X² or Fisher exact tests. Missing data were imputed from the analyses. All analyses were performed using SAS JMP Pro version 16. P < .05 was considered statistically significant.

RESULTS

There were 18,241 total colonoscopies performed between January 1, 2016, to October 19, 2021, and 13,818 colonoscopies had indications for screening for colon cancer, positive FIT, virtual colonoscopy, or surveillance. Of the 10,466 unique patients there were 5369 patients for polyp surveillance, 4054 patients for CRC screening, and 1043 patients for positive FIT or virtual colonoscopy. Of these, 571 individuals (5.5%) had IBP. Repeat colonoscopy within 1 year was recommended for 485 individuals (84.9%) who were included in this study (153 CRC screenings and 46 positive FITs) but not for 86 individuals (15.1%) (Figure 1). Among included patients, the mean (SD) age was 66.6 (7.2) years, and the majority were male (460 [94.8%]) and White (435 [89.7%]) (Table). Two hundred and forty-three (50.1%) were married.

Adherence to Recommended Interval Colonoscopy

Of the 485 patients with IBP who were recommended for follow-up colonoscopy, 287 (59.2%) had a colonoscopy within 1 year, and 198 (40.8%) did not; 17 patients (13.5%) had repeat colonoscopy within 366 to 400 days. Five (1.0%) individuals had a repeat colonoscopy the next day, and 77 (15.9%) had a repeat colonoscopy within 7 days. One hundred and twentysix (26.0%) individuals underwent no repeat colonoscopy during the study period (Figure 2).

To account for the COVID-19 pandemic, the adherence rate of repeat colonoscopy within 1 year prepandemic (January 1, 2016, to December 1, 2018) was calculated along with the adherence rate postpandemic (January 1, 2019 to the end of the study). The rates were similar: 199 of 330 (60.3%) individuals prepandemic vs 88 of 155 (56.8%) individuals postpandemic (Figure 3).

Significant Associations

Age, sex, and race were not associated with adherence to repeat colonoscopy within 1 year. Individuals living ≤ 40 miles from the endoscopy center were more likely to undergo a repeat colonoscopy within 1 year compared with those who lived > 40 miles away (61.7% vs 51.0%, P = .02). Current smoking status was associated with a lower rate of repeat colonoscopy within 1 year (25.8% vs 35.9%; P = .02). There were no differences with respect to inflammatory bowel disease diagnosis, mental health diagnosis, diabetes mellitus, cirrhosis, or medications used, including opioids, anticoagulation, and antiplatelet therapy.

Outcomes

Among individuals who had a repeat colonoscopy the day after the index colonoscopy, 53 of 56 individuals (94.6%) had adequate bowel preparation. Among individuals who had a repeat colonoscopy within 7 days, 70 of 77 (90.9%) had adequate bowel preparation. Of 287 individuals with a repeat colonoscopy within 1 year, 251 (87.5%) had adequate bowel preparation on the repeat colonoscopy. By 400 days after the index colonoscopy, 268 of 304 individuals (88.2%) had adequate bowel preparation.

In this study conducted at a large VA medical center, we found that 5.6% of individuals undergoing colonoscopies had IBP, a rate comparable to prior studies (6% to 26%).^3,4 Only 59.2% of individuals underwent repeat colonoscopies within 1 year, as recommended after an index colonoscopy with IBP. Smoking and living longer distances (> 40 miles) from the endoscopy center were associated with a decreased adherence to the repeat colonoscopy recommendation.

Current guidelines recommend repeat colonoscopy for individuals with IBP within 1 year.¹⁰ In cases of IBP, the advanced adenoma miss rate is 36% upon repeat colonoscopy within 1 year.¹³ Despite the importance of a follow-up colonoscopy, clinician adherence with this recommendation remains low.^10,14,15 However, in this study cohort, 485 of 571 individuals with IBP (84.9%) received recommendations for a repeat colonoscopy within 1 year. In the US, only 31.9% of 260,314 colonoscopies with IBP included recommendations for a follow-up colonoscopy within 1 year.¹⁴ This could be related to variations in endoscopist practice as well as patient risk factors for developing polyps, including family history of cancer and personal history of prior polyps. The findings of multiple polyps, high-risk adenomas, and cancer on the index colonoscopy also influences the endoscopist for repeat colonoscopy within 1 year.¹⁴

The timing for repeat colonoscopies within 1 year will be determined by the patients, clinicians, and available scheduling. In this study, the earlier repeat colonoscopies, especially those occurring the day after the index colonoscopy, had the highest success rate of adequate bowel preparation. In a prior study, repeating colonoscopies within the same day or the next day was also found to have a higher rate of adequate bowel preparation than repeat colonoscopies within 1 year (88.9% vs 83.5%).¹⁶

Ensuring the return of individuals with IBP for repeat colonoscopy is a challenging task. We identified that individuals who live further away from MVAMC and current smokers had a decreased probability of returning for a repeat colonoscopy. Toro and colleagues found a 68.7% return rate for a repeat colonoscopy within 1 year with individuals age ≥ 60 years, and patients who were White were less likely to proceed with a repeat colonoscopy within 1 year.¹⁷ The study did not provide data regarding smoking status or distance to the endoscopy center.¹⁷ In a prior study of veterans, the dual diagnosis of psychiatric disorders and substance abuse was associated with missed and canceled colonoscopy appointments.¹⁸ The distance to the endoscopy center has also been previously identified as a barrier to a colonoscopy following an abnormal FIT.¹⁹ Although not identified in this study due to the homogenous demographic profile, social determinants of health such as socioeconomic status, education, and insurance coverage are known barriers to cancer screening but were not evaluated in this study.²⁰

Based on the identified risk factors, we have created a model for utilizing those risk factors to identify individuals at higher risk for noncompliance (ie, those who live further away from the endoscopy center or currently smoke). These individuals are proactively offered to use an intraprocedural bowel cleansing device to achieve adequate bowel preparation or priority rescheduling for a next-day colonoscopy.

Limitations

This study was a single-center study of the veteran population, which is predominantly White and male, thus limiting generalizability. The study is also limited by minimal available data on adenoma detection and colon cancer incidence on subsequent colonoscopies.

CONCLUSIONS

The rate of IBP was 5.5% in individuals undergoing colonoscopy for colon cancer screening, surveillance, positive FIT, or computed tomography colonography. Only 59.2% of those with IBP underwent the recommended repeat colonoscopy within 1 year. Smoking and distance to the endoscopy center were associated with a decreased adherence to the repeat colonoscopy recommendation. Additional efforts are needed to ensure that individuals with IBP return for timely repeat colonoscopy.

Colorectal cancer (CRC) is the third-most diagnosed cancer after breast and lung cancer, and is the second leading cause of global cancer related deaths.¹ In 2023 in the United States, > 150,000 individuals were diagnosed with CRC and 52,000 died.²

Colonoscopy is an effective CRC screening method and the lone method recommended for polyp surveillance. Inadequate bowel preparation (IBP) has been estimated to occur in about 6% to 26% of colonoscopies. ^3,4 The prevalence varies based on a variety of comorbidities, including immobility, diabetes mellitus, neurologic disorders, and use of opioids, with more occurrences of IBP noted in older adult, non-English speaking, and male individuals.^4-6

The quality of bowel preparation is integral to the effectiveness of screening and surveillance colonoscopies. IBP has been associated with missed adenomas and significantly lower adenoma detection rates.^7-9 In particular, IBP is independently associated with an increased risk of CRC in the future.³ Accordingly, the US Multisociety Task Force recommends repeat colonoscopies for individuals with IBP within 1 year.¹⁰ Ensuring that these individuals receive repeat colonoscopies is an essential part of CRC prevention. The benefit of repeat colonoscopy after IBP is highlighted by a retrospective analysis from Fung and colleagues that showed 81% of repeat colonoscopies had adequate bowel preparation, with higher numbers of adenomas detected on repeat compared to initial colonoscopies.¹¹

Given the impact of bowel preparation quality on the diagnostic capability of the colonoscopy, adherence to guidelines for repeat colonoscopies in cases of IBP is paramount for effective CRC prevention. This study aims to measure the frequency of repeat colonoscopy after IBP and the factors associated with adherence to recommendations.

METHODS

Individuals who underwent colonoscopy at the Minneapolis Veterans Affairs Medical Center (MVAMC) from January 1, 2016, to October 19, 2021, were identified to allow for 400 days of follow-up from the index colonoscopy to the data collection date. During the COVID-19 pandemic, the colonoscopy procedure capacity was reduced by 50% from June 1, 2020, to December 1, 2020, delaying nonurgent procedures, including screening and surveillance colonoscopies.

Individuals who underwent colonoscopy for CRC screening or polyp surveillance, or following a positive fecal immunohistochemistry test (FIT) or virtual computed tomography colonoscopy were included. Patients with colonoscopy indications for iron deficiency anemia, gastrointestinal bleeding, disease activity assessment of inflammatory bowel disease, abdominal pain, or changes in bowel movement pattern were excluded. IBP was defined as recording a Boston Bowel Preparation Scale (BBPS) score of < 6, or < 2 in any segment, or described as poor or inadequate using the Aronchick scale.

Age, sex, race, marital status, distance to MVAMC, smoking status, comorbidities, and concurrent medication use, including antiplatelet, anticoagulation, and prescription opiates at the time of index colonoscopy were obtained from the Veterans Health Administration (VHA) Corporate Data Warehouse (CDW) using structured query language processing of colonoscopy procedure notes to extract preparation scores and other procedure information. The CDW contains extracts from VHA clinical and administrative systems that contain complete clinical data from October 1999.¹² Current smoking status was defined as any smoking activity at the time the questionnaire was administered during a routine clinic visit within 400 days from the index colonoscopy.

Only individuals who were recommended to have repeat colonoscopy within 1 year were included. The intervals of 365 days and 400 days (1 year + about 1 additional month) were used in the event that the individual had a delay in scheduling their 1-year repeat colonoscopy. For individuals who did not undergo a colonoscopy at MVAMC within 400 days, a manual chart review of all available records was performed to determine whether a colonoscopy was performed at a non-VA facility.

Patients received written instructions for bowel preparation 2 weeks prior to the procedure. The preparation included magnesium citrate and a split dose of 4 liters of polyethylene glycol. Patients were also advised to start a low-fiber diet 3 days prior to the procedure and a clear liquid diet the day before the procedure. Patients with a history of IBP or those undergoing procedures with anesthesia received an additional 2 liters for a total of 6 liters of polyethylene glycol.

Statistical analysis

Baseline characteristics were reported as mean (SD) or median and IQR for continuous variables and percentage for categorical variables. Individuals who returned for colonoscopy within 400 days were compared to those who did not identify factors associated with adherence to recommendations. The data on individuals who returned for colonoscopy within 400 days were also analyzed for additional minor delays in the timing of the repeat colonoscopy. Continuous data were compared using Mann-Whitney U tests. Categorical data were compared using X² or Fisher exact tests. Missing data were imputed from the analyses. All analyses were performed using SAS JMP Pro version 16. P < .05 was considered statistically significant.

RESULTS

There were 18,241 total colonoscopies performed between January 1, 2016, to October 19, 2021, and 13,818 colonoscopies had indications for screening for colon cancer, positive FIT, virtual colonoscopy, or surveillance. Of the 10,466 unique patients there were 5369 patients for polyp surveillance, 4054 patients for CRC screening, and 1043 patients for positive FIT or virtual colonoscopy. Of these, 571 individuals (5.5%) had IBP. Repeat colonoscopy within 1 year was recommended for 485 individuals (84.9%) who were included in this study (153 CRC screenings and 46 positive FITs) but not for 86 individuals (15.1%) (Figure 1). Among included patients, the mean (SD) age was 66.6 (7.2) years, and the majority were male (460 [94.8%]) and White (435 [89.7%]) (Table). Two hundred and forty-three (50.1%) were married.

Adherence to Recommended Interval Colonoscopy

Of the 485 patients with IBP who were recommended for follow-up colonoscopy, 287 (59.2%) had a colonoscopy within 1 year, and 198 (40.8%) did not; 17 patients (13.5%) had repeat colonoscopy within 366 to 400 days. Five (1.0%) individuals had a repeat colonoscopy the next day, and 77 (15.9%) had a repeat colonoscopy within 7 days. One hundred and twentysix (26.0%) individuals underwent no repeat colonoscopy during the study period (Figure 2).

To account for the COVID-19 pandemic, the adherence rate of repeat colonoscopy within 1 year prepandemic (January 1, 2016, to December 1, 2018) was calculated along with the adherence rate postpandemic (January 1, 2019 to the end of the study). The rates were similar: 199 of 330 (60.3%) individuals prepandemic vs 88 of 155 (56.8%) individuals postpandemic (Figure 3).

Significant Associations

Age, sex, and race were not associated with adherence to repeat colonoscopy within 1 year. Individuals living ≤ 40 miles from the endoscopy center were more likely to undergo a repeat colonoscopy within 1 year compared with those who lived > 40 miles away (61.7% vs 51.0%, P = .02). Current smoking status was associated with a lower rate of repeat colonoscopy within 1 year (25.8% vs 35.9%; P = .02). There were no differences with respect to inflammatory bowel disease diagnosis, mental health diagnosis, diabetes mellitus, cirrhosis, or medications used, including opioids, anticoagulation, and antiplatelet therapy.

Outcomes

Among individuals who had a repeat colonoscopy the day after the index colonoscopy, 53 of 56 individuals (94.6%) had adequate bowel preparation. Among individuals who had a repeat colonoscopy within 7 days, 70 of 77 (90.9%) had adequate bowel preparation. Of 287 individuals with a repeat colonoscopy within 1 year, 251 (87.5%) had adequate bowel preparation on the repeat colonoscopy. By 400 days after the index colonoscopy, 268 of 304 individuals (88.2%) had adequate bowel preparation.

In this study conducted at a large VA medical center, we found that 5.6% of individuals undergoing colonoscopies had IBP, a rate comparable to prior studies (6% to 26%).^3,4 Only 59.2% of individuals underwent repeat colonoscopies within 1 year, as recommended after an index colonoscopy with IBP. Smoking and living longer distances (> 40 miles) from the endoscopy center were associated with a decreased adherence to the repeat colonoscopy recommendation.

Current guidelines recommend repeat colonoscopy for individuals with IBP within 1 year.¹⁰ In cases of IBP, the advanced adenoma miss rate is 36% upon repeat colonoscopy within 1 year.¹³ Despite the importance of a follow-up colonoscopy, clinician adherence with this recommendation remains low.^10,14,15 However, in this study cohort, 485 of 571 individuals with IBP (84.9%) received recommendations for a repeat colonoscopy within 1 year. In the US, only 31.9% of 260,314 colonoscopies with IBP included recommendations for a follow-up colonoscopy within 1 year.¹⁴ This could be related to variations in endoscopist practice as well as patient risk factors for developing polyps, including family history of cancer and personal history of prior polyps. The findings of multiple polyps, high-risk adenomas, and cancer on the index colonoscopy also influences the endoscopist for repeat colonoscopy within 1 year.¹⁴

The timing for repeat colonoscopies within 1 year will be determined by the patients, clinicians, and available scheduling. In this study, the earlier repeat colonoscopies, especially those occurring the day after the index colonoscopy, had the highest success rate of adequate bowel preparation. In a prior study, repeating colonoscopies within the same day or the next day was also found to have a higher rate of adequate bowel preparation than repeat colonoscopies within 1 year (88.9% vs 83.5%).¹⁶

Ensuring the return of individuals with IBP for repeat colonoscopy is a challenging task. We identified that individuals who live further away from MVAMC and current smokers had a decreased probability of returning for a repeat colonoscopy. Toro and colleagues found a 68.7% return rate for a repeat colonoscopy within 1 year with individuals age ≥ 60 years, and patients who were White were less likely to proceed with a repeat colonoscopy within 1 year.¹⁷ The study did not provide data regarding smoking status or distance to the endoscopy center.¹⁷ In a prior study of veterans, the dual diagnosis of psychiatric disorders and substance abuse was associated with missed and canceled colonoscopy appointments.¹⁸ The distance to the endoscopy center has also been previously identified as a barrier to a colonoscopy following an abnormal FIT.¹⁹ Although not identified in this study due to the homogenous demographic profile, social determinants of health such as socioeconomic status, education, and insurance coverage are known barriers to cancer screening but were not evaluated in this study.²⁰

Based on the identified risk factors, we have created a model for utilizing those risk factors to identify individuals at higher risk for noncompliance (ie, those who live further away from the endoscopy center or currently smoke). These individuals are proactively offered to use an intraprocedural bowel cleansing device to achieve adequate bowel preparation or priority rescheduling for a next-day colonoscopy.

Limitations

This study was a single-center study of the veteran population, which is predominantly White and male, thus limiting generalizability. The study is also limited by minimal available data on adenoma detection and colon cancer incidence on subsequent colonoscopies.

CONCLUSIONS

The rate of IBP was 5.5% in individuals undergoing colonoscopy for colon cancer screening, surveillance, positive FIT, or computed tomography colonography. Only 59.2% of those with IBP underwent the recommended repeat colonoscopy within 1 year. Smoking and distance to the endoscopy center were associated with a decreased adherence to the repeat colonoscopy recommendation. Additional efforts are needed to ensure that individuals with IBP return for timely repeat colonoscopy.