Utilization and Cost of Veterans Health Administration Referrals to Community Care-Based Physical Therapy

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Utilization and Cost of Veterans Health Administration Referrals to Community Care-Based Physical Therapy

 

The Veterans Health Administration (VHA) is the largest US integrated health system, providing care to veterans through VHA and non-VHA practitioners and facilities.1,2 Providing high-quality, timely, and veteran-centric care remains a priority for the VHA. Legislative efforts have expanded opportunities for eligible veterans to receive care in the community purchased by VHA, known as community care (CC).1 The Veterans Access, Choice, and Accountability Act of 2014 came in response to reports of long wait times and drive times for patients.3-5 The MISSION Act of 2018 expanded access to CC by streamlining it and broadening eligibility criteria, especially for veterans in rural communities who often experience more barriers in accessing care than veterans living in urban communities.1,6-10 Since the implementation of the Choice and MISSION Acts, > 2.7 million veterans have received care through community practitioners within the VHA CC network.11

Background

Increased access to CC could benefit veterans living in rural communities by increasing care options and circumventing challenges to accessing VHA care (ie, geographic, transportation, and distance barriers, practitioner and specialist shortages, and hospital closures). 5,9,10,12,13 However, health care system deficits in rural areas could also limit CC effectiveness for veterans living in those communities. 3 Other challenges posed by using CC include care coordination, information sharing, care continuity, delayed payments to CC practitioners, and mixed findings regarding CC quality.5,8,13,14 VHA practitioners are specifically trained to meet the multifaceted needs unique to veterans’ health and subculture, training CC practitioners may not receive.5,15

CC offers services for primary care and a broad range of specialties, including rehabilitation services such as physical therapy (PT).6 PT is used for the effective treatment of various conditions veterans experience and promote wellbeing and independence.16 US Department of Veterans Affairs (VA) databases reveal a high prevalence of veterans receiving PT services through CC; PT is one of the most frequently used CC outpatient specialty services by veterans living in rural communities.14,17

Telerehabitltation Enterprisewide Initiative

VHA has greatly invested in delivering care virtually, especially for veterans living in rural communities.18 In 2017, the VHA Office of Rural Health funded the Telerehabilitation Enterprise-Wide Initiative (TR-EWI) in partnership with the Physical Medicine and Rehabilitation Services national program office to increase access to specialized rehabilitation services for veterans living in rural communities by leveraging telehealth technologies.18-21 This alternative mode of health care delivery allows clinicians to overcome access barriers by delivering rehabilitation therapies directly to veterans' homes or nearby community-based outpatient clinics. TR-EWI was conceived as a hub-and-spoke model, where rehabilitation expertise at the hub was virtually delivered to spoke sites that did not have in-house expertise. In subsequent years, the TR-EWI also evolved to provide targeted telerehabilitation programs within rural-serving community-based outpatient clinics, including PT as a predominant service.19,20

As TR-EWI progressed—and in conjunction with the uptake of telehealth across VHA during the COVID-19 pandemic—there has been increased focus on PT telerehabilitation, especially for the 4.6 million veterans in rural communities.18,22,23 Because health care delivery system deficits in rural areas could limit the effective use of CC, many TR-EWI sites hope to reduce their CC referrals by providing telehealth PT services to veterans who might otherwise need to be referred to CC. This strategy aligns with VHA goals of providing high-quality and timely care. To better understand opportunities for programs like TR-EWI to provide rehabilitation services for veterans and reduce care sent to the community, research that examines CC referral trends for PT over time is warranted.

This study examines CC from a rehabilitation perspective with a focus on CC referral trends for PT, specifically for Veterans Integrated Service Networks (VISNs) where TREWI sites are located. The study’s objectives were to describe rehabilitation PT services being referred to CC and examine associated CC costs for PT services. Two research questions guided the study. First, what are the utilization trends for CC PT referrals from fiscal year (FY) 2019 to FY 2022? Secondly, what is the cost breakdown of CC for PT referrals from FY 2020 to FY 2022?

Methods

This study was conducted by a multidisciplinary team comprised of public health, disability, rehabilitation counseling, and PT professionals. It was deemed a quality improvement project under VA guidance and followed the SQUIRE guidelines for quality improvement reporting.24,25 The study used the VA Common Operating Platform (Palantir) to obtain individual-level CC referral data from the HealthShare Referral Manager (HSRM) database and consult data from the Computerized Patient Record System. Palantir is used to store and integrate VA data derived from the VA Corporate Data Warehouse and VHA Support Service Center. Referrals are authorizations for care to be delivered by a CC practitioner.

TR-EWI is comprised of 7 sites: VISN 2, VISN 4, VISN 8, VISN 12, VISN 15, VISN 19, and VISN 22. Each site provides telerehabilitation services with an emphasis on reaching veterans living in rural communities. We joined the referrals and consults cubes in Palantir to extract PT referrals for FY 2019 to FY 2022 for the 7 VISNs with TR-EWI sites and obtain referral-specific information and demographic characteristics. 26 Data were extracted in October 2022.

The VHA Community Care Referral Dashboard (CC Dashboard) provided nonindividual level CC cost data.27 The CC Dashboard provides insights into the costs of CC services for VHA enrollees by category of care, standardized episode of care, and eligibility. Data are based on nationallevel HSRM referrals that are not suspended or linked to a canceled or discontinued consult. Data were aggregated by VISN. The dashboard only includes referrals dating back to FY 2020; therefore, PT data from FY 2020 through FY 2022 for VISNs with TR-EWI sites were collected. Data were extracted in December 2022.

This study examined CC referrals, station name, eligibility types, clinical diagnoses (International Classification of Diseases, Tenth Revision codes), and demographic information in the Palantir dataset. Six eligibility criteria can qualify a veteran to receive CC.28 Within clinical diagnoses, the variable of interest was the provisional diagnosis. Patient demographics included age, gender, and rurality of residence, as determined by the Rural-Urban Commuting Area system.29,30 Rural and highly rural categories were combined for analysis. For the CC cost dataset, this study examined CC referrals, referral cost, and eligibility type.

Analysis

For the first research question, we examined referral data from FY 2019 to FY 2022 using the Palantir dataset, performed descriptive statistical analysis for all variables, and analyzed data to identify trends. Descriptive statistics were completed using IBM SPSS Statistics for Windows Version 29.0.0.0.

A qualitative analysis of provisional diagnosis data revealed what is being referred to CC for PT. A preliminary overview of provisional diagnosis data was conducted to familiarize coders with the data. We developed a coding framework to categorize diagnoses based on anatomical location, body structure, and clinical areas of interest. Data were reviewed individually and grouped into categories within the coding framework before meeting as a team to achieve group consensus on categorization. We then totaled the frequency of occurrence for provisional diagnoses within each category. Qualitative analyses were completed using Microsoft Excel.

For the second research question, the study used the CC cost dataset to examine the cost breakdown of CC PT referrals from FY 2020 to FY 2022. We calculated the number and cost of PT referrals across eligibility groups for each FY and VISN. Data were analyzed using SPSS to identify cost trends.

Results

There were 344,406 referrals to CC for PT from FY 2019 to FY 2022 for the 7 VISNs analyzed (Table 1). Of these, 22.5% were from FY 2019, 19.1% from FY 2020, 28.2% from FY 2021, and 30.3% from FY 2022. VISN 8 and VISN 22 reported the most overall PT referrals, with VISN 8 comprising 22.2% and VISN 22 comprising 18.1% of all referrals. VISN 2 reported the least overall referrals (3.7%). VISN 4 and VISN 12 had decreases in referrals over time. VISN 2 and VISN 15 had decreases in referrals from FY 2019 to FY 2021 and slight increases from FY 2021 to FY 2022. VISN 19 and VISN 22 both saw slight increases from FY 2019 to FY 2020 and substantial increases from FY 2020 to FY 2022, with FY 2022 accounting for 40.0% and 42.3% of all referrals for VISN 19 and VISN 20, respectively (Figure 1).

0225FED-ePT-T10225FED-ePT-F1

For FY 2019 and FY 2020, VISN 8 had the highest percentage of referrals (26.7% and 23.2%, respectively), whereas VISN 22 was among the lowest (7.3% and 11.4%, respectively). However, for FY 2021 and FY 2022, VISN 22 reported the highest percentage of referrals (23.5% and 25.3%, respectively) compared to all other VISNs. VISN 2 consistently reported the lowest percentage of referrals across all years.

There were 56 stations analyzed across the 7 VISNs (Appendix 1). Nine stations each accounted for ≥ 3.0% of the total PT referrals and only 2 stations accounted for > 5.0% of referrals. Orlando, Florida (6.0%), Philadelphia, Pennsylvania (5.2%), Tampa, Florida (4.9%), Aurora, Colorado (4.9%), and Gainesville, Florida (4.4%) reported the top 5 highest referrals, with 3 being from VISN 8 (Orlando, Tampa, Gainesville). Stations with the lowest reported referrals were all in VISN 2 in New York: The Bronx, (0%), New York Harbor (0%), Hudson Valley (0.1%) and Finger Lakes (0.2%).

0225FED-ePT-A1
Rurality

Urban stations comprised 56.2% and rural stations comprised 39.8% of PT CC referrals, while 0.2% of referrals were from insular isle US territories: Guam, American Samoa, Northern Marianas, and the Virgin Islands. The sample had missing or unknown data for 3.8% of referrals. FY 2022 had the largest difference in rural and urban referrals. Additionally, there was an overall trend of more referrals over time for rural and urban, with a large increase in rural (+40.0%) and urban (+62.7%) referrals from FY 2020 to FY 2021 and a modest increase from FY 2021 to FY 2022 (+5.2% for rural and +9.1% for urban). There was a decrease in rural (-7.0%) and urban (-3.5%) referrals from FY 2019 to FY 2020 (Figure 2).

0225FED-ePT-F2

There were differences in referrals by rurality and VISN (Table 2). VISN 12, VISN 15, and VISN 19 reported more rural than urban referrals, whereas VISN 4, VISN 8, and VISN 22 reported more urban than rural referrals. VISN 2 reported similar numbers for both, with slightly more urban than rural referrals. When reviewing trends over time for each FY, VISN 12, VISN 15, and VISN 19 reported more rural than urban referrals and VISN 4, VISN 8, and VISN 22 had more urban than rural referrals. In FY 2019 and FY 2020, VISN 2 reported slightly more urban than rural referrals but almost the same number of referrals in FY 2021 and FY 2022 (Appendix 2).

0225FED-ePT-T20225FED-ePT-A2
Demographics

The mean (SD) age was 61.2 (15.8) years (range, 20-105). Most PT CC referrals were for veterans aged 70 to 79 years (26.9%), followed by 60 to 69 years (20.7%), and 50 to 59 years (16.4%) (Appendix 3). Trends were consistent across VISNs. There was less of a difference between rural and urban referral percentages as the population aged. Veterans aged < 49 years residing in more urban areas accounted for more referrals to CC compared to their rural counterparts. This difference was less apparent in the 70 to 79 years and 80 to 89 years age brackets.

0225FED-ePT-A3

Most PT CC referrals (81.2%) were male and 14.8% were female. About 3.6% of referral data were missing sex information, and there was a smaller difference between male veterans living in rural communities and male veterans living in urban communities compared with female veterans. A total of 42.9% of male veterans resided in rural areas compared to 56.8% in urban areas; 32.7% of female veterans resided in rural areas compared to 66.9% in urban areas (Appendix 3).

Other Criteria

Of the 334,406 referrals, 114,983 (34.4%) had eligibility data, mostly from FY 2021 and FY 2022 (Table 3). Available eligibility data were likely affected by the MISSION Act and new regulations for reporting CC eligibility. Distance (33.4%) was the most common eligibility criteria, followed by timeliness of care (28.8%), and best medical interest (19.8%); 40.4% were rural and 59.5% were urban. Distance (55.4%) was most common for rural veterans, while timeliness of care (39.7%) was most common for urban veterans. For both groups, the second most common eligibility reason was best medical interest (Appendix 4).

0225FED-ePT-T30225FED-ePT-A4

Bone, joint, or soft tissue disorders were common diagnoses, with 25.2% located in the lower back, 14.7% in the shoulder, and 12.8% in the knee (Appendix 5). Amputations of the upper and lower limbs, fractures, cancer-related diagnoses, integumentary system disorders, thoracic and abdominal injuries and disorders, and other medical and mental health conditions each accounted for < 1% of the total diagnoses.

0225FED-ePT-A5
Costs

At time of analysis, the CC Dashboard had cost data available for 200,204 CC PT referrals from FY 2020 to FY 2022. The difference in referral numbers for the 2 datasets is likely attributed to several factors: CC cost data is exclusively from the HSRM, whereas Palantir includes other data sources; how VA cleans data pulled into Palantir; how the CC Dashboard algorithm populates data; and variances based on timing of reporting and/or if referrals are eventually canceled.

The total cost of PT CC referrals from FY 2020 to FY 2022 in selected VISNs was about $220,615,399 (Appendix 6). Appendix 7 details the methodology for determining the average standardized episode- of-care cost by VISN and how referral costs are calculated. Data show a continuous increase in total estimated cost from $46.8 million in FY 2020 to $92.1 million in FY 2022. From FY 2020 to FY 2022, aggregate costs ranged from $6,758,053 in VISN 2 to $47,209,162 in VISN 8 (Figure 3). The total referral cost for PT was highest at VISN 4 in FY 2020 ($10,447,140) and highest at VISN 22 in FY 2021 ($18,835,657) and FY 2022 ($22,962,438) (Figure 4). For referral costs from FY 2020 to FY 2022, distance accounted for $75,561,948 (34.3%), timeliness of care accounted for $60,413,496 (27.3%), and best medical interest accounted for $46,291,390 (21.0%) (Table 4).

0225FED-ePT-A70225FED-ePT-A6

 

0225FED-ePT-F30225FED-ePT-F40225FED-ePT-T4

Overall costs were primarily driven by specific VISNs within each eligibility type (Appendix 8; Figure 5). VISN 19, VISN 22, and VISN 15 accounted for the highest referral costs for distance; VISN 22, VISN 8, and VISN 19 accounted for the secondhighest referral cost, timeliness of care; and VISN 4, VISN 8, and VISN 12 accounted for the third-highest referral cost, best medical interest (Figure 5). VISN 2, VISN 4, VISN 12, VISN 15, and VISN 22 had service unavailable as an eligibility type with 1 of the top 3 associated referral costs, which was higher in cost than timeliness of care for VISN 2, VISN 4, VISN 12, and VISN 15.

0225FED-ePT-A280225FED-ePT-F5

Discussion

This study examines the referral of rehabilitation PT services to CC, evaluates CC costs for PT services, and analyzes utilization and cost trends among veterans within the VHA. Utilization data demonstrated a decrease in referrals from FY 2019 to FY 2020 and increases in referrals from FY 2020 to FY 2022 for most variables of interest, with cost data exhibiting similar trends. Results highlight the need for further investigation to address variations in PT referrals and costs across VISNs and eligibility reasons for CC referral.

Results demonstrated a noteworthy increase in PT CC referrals over time. The largest increase occurred from FY 2020 to FY 2021, with a smaller increase from FY 2021 to FY 2022. During this period, total enrollee numbers decreased by 3.0% across the 7 VISNs included in this analysis and by 1.6% across all VISNs, a trend that illustrates an overall decrease in enrollees as CC use increased. Results align with the implementation of the MISSION Act of 2018, which further expanded veterans’ options to use CC.1,6,7 Results also align with the onset of the COVID-19 pandemic, which disrupted care access for many veterans, placed a larger emphasis on the use of telehealth, and increased opportunities to stay within the VA for care by rapidly shifting to telehealth and leveraging telerehabilitation investments and initiatives (such as TR-EWI).20,31

VISN 8, VISN 19, and VISN 22, accounted for more than half of PT referrals. These VISNs had higher enrollee counts compared to the other VISNs.32 VISN 8 consistently had high levels of referrals, whereas VISN 19 and VISN 22 saw dramatic increases in FY 2021 and FY 2022. In contrast, VISN 4 and VISN 12 gradually decreased referrals during the study. VISN 2 had the lowest referral numbers during the study period, and all stations with the lowest individual referral numbers were located within VISN 2. Of the VISNs included in this study, VISN 2 had the second lowest number of enrollees (324,042).32 Reasons for increases and decreases over time could not be determined based on data collected in this study.

There were more urban than rural PT CC referrals; however, both exhibited an increase in referrals over time. This is consistent with population trends showing that most VHA patients (62.6%) and veterans (75.9%) reside in urban areas, which could explain some of the trends in this study.33 Some VISNs have larger urban catchment areas (eg, VISN 8 and VISN 22), and some have larger rural catchment areas (eg, VISN 15 and VISN 19), which could partially explain the rural-urban differences by VISN.32 Rural-urban referral trends might also reflect existing health care delivery system deficits in rural areas and known challenges associated with accessing health care for veterans living in rural communities.8,9

This study found larger differences in rural and urban PT CC referrals for younger age groups, with more than twice as many urban referrals in veterans aged 20 to 29 years and aged 30 to 39 years, and roughly 1.8 times as many urban referrals in veterans aged 40 to 49 years. However, there were similar numbers of rural and urban referrals in those aged 70 to 79 years and aged 80 to 89 years. These trends are consistent with data showing veterans residing in rural communities are older than their urban counterparts.23,34 Data suggest that older veteran populations might seek PT at higher rates than younger veteran populations. Moreover, data suggest there could be differences in PT-seeking rates for younger veteran populations who reside in rural vs urban areas. Additional research is needed to understand these trends.

Distance and timeliness of care were the predominant reasons for referral among eligibility groups, which is consistent with the MISSION Act goals.1,6,7 The most common eligibility reason for rural referrals was distance; timeliness of care was most common for urban referrals. This finding is expected, as veterans living in rural communities are farther away from VHA facilities and have longer drive times, whereas veterans living in urban communities might live closer, yet experience longer wait times due to services and/or appointment availability. Best medical interest accounted for almost 20% of referrals, which does not provide detailed insights into why those veterans were referred to CC.

The top PT diagnoses referred to CC were related to bone, joint, or soft tissue disorders of the lower back, shoulder, and knee. This suggests that musculoskeletal-related issues are prevalent among veterans seeking PT care, which is consistent with research that found > 50% of veterans receiving VHA care have musculoskeletal disorders.35 The probability of experiencing musculoskeletal problems increases with age, as does the need for PT services. Amputations and fractures accounted for < 1% of CC referrals, which is consistent with the historic provision of VHA clinical specialized care to conditions prevalent among veterans. It may also represent VHA efforts to internally provide care for complex conditions requiring more extensive interdisciplinary coordination.

The total cost of referrals over time was about $221 million. VISN 8 accounted for the highest overall cost; VISN 2 had the lowest, mirroring referral utilization trends and aligning with VISN enrollee numbers. VISN 19 and VISN 22 reported large cost increases from FY 2020 to FY 2021. Total referral costs increased by $34.9 million from FY 2020 to FY 2021, which may be due to health care inflation (2.9% during FY 2019 to FY 2022), increased awareness of CC services, or increased VHA wait times.36 Additionally, there were limitations in care provided across health care systems during the COVID-19 pandemic, including the VA.5 The increase from FY 2020 to FY 2021 may reflect a rebound from restrictions in appointments across VA, CC, and the private sector.

While the increase in total referral cost may be partly attributed to inflation, the cost effectiveness and efficiency of referring veterans to CC vs keeping veterans within VHA care is an ongoing debate.5 Examining and addressing cost drivers within the top eligibility types and their respective VISNs is necessary to determine resource allocation and improve quality of care. This study found that best medical interest and unavailable services accounted for 33.4% of the total cost of CC referrals, highlighting the need for policies that strengthen in-house competencies and recruit personnel to provide PT services currently unavailable within the VA.

Future Directions

The VHA should explore opportunities for in-house care, especially for services appropriate for telehealth.18,20,37 Data indicated a smaller cost increase from FY 2021 to FY 2022 compared to the relatively large increase from FY 2020 to FY 2021. The increased telehealth usage across VHA by TR-EWI and non—TR-EWI sites within selected VISNs may have contributed to limiting the increase in CC costs. Future studies should investigate contextual factors of increased telehealth usage, which would offer guidance for implementation to optimize the integration of telehealth with PT rehabilitation provided in-house. Additionally, future studies can examine potential limitations experienced during PT telehealth visits, such as the inability to conduct hands-on assessments, challenges in viewing the quality of patient movement, ensuring patient safety in the remote environment, and the lack of PT equipment in homes for telehealth visits, and how these challenges are being addressed.38,39 Research is also needed to understand tradeoffs of CC vs VHA care and the potential and cost benefits of keeping veterans within VHA using programs like TR-EWI.5 Veterans living in rural communities may especially benefit from this as expanding telehealth options can provide access to PT care that may not be readily available, enabling them to stay connected and engaged in their care.18,40

Future studies could examine contributory factors to rising costs, such as demographic shifts, changes in PT service utilization, and policy. Researchers might also consider qualitative studies with clinicians and veterans within each VISN, which may provide insights into how local factors impact PT referral to the community.

Limitations

Due to its descriptive nature, this study can only speculate about factors influencing trends. Limitations include the inability to link the Palantir and CC Dashboard datasets for cost comparisons and potential data change over time on Palantir due to platform updates. The focus on VISNs with TREWI sites limited generalizability and this study did not compare CC PT vs VHA PT. Finally, there may have been cost drivers not identified in this study.

Conclusions

This descriptive study provides insights into the utilization and cost of PT CC referrals for selected VISNs. Cost trends underscore the financial commitment to providing PT services to veterans. Understanding what factors are driving this cost is necessary for VHA to optimally provide and manage the rehabilitation resources needed to serve veterans through traditional in-person care, telehealth, and CC options while ensuring timely, highquality care.

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  35. Goulet JL, Kerns RD, Bair M, et al. The musculoskeletal diagnosis cohort: examining pain and pain care among veterans. Pain. 2016;157(8):1696-1703. doi:10.1097/j.pain.0000000000000567
  36. US Inflation Calculator. Health Care Inflation in the United States (1948-2024). Accessed September 23, 2024. https://www.usinflationcalculator.com/inflation/health-care-inflation-in-the-united-states/
  37. Cottrell MA, Galea OA, O’Leary SP, Hill AJ, Russell TG. Real-time telerehabilitation for the treatment of musculoskeletal conditions is effective and comparable to standard practice: a systematic review and meta-analysis. Clin Rehabil. 2017;31(5):625-638. doi:10.1177/0269215516645148
  38. Elor A, Conde S, Powel l M, Robbins A, Chen NN, Kurniawan S. Physical therapist impressions of telehealth and virtual reality needs amidst a pandemic. Front Virtual Real. 2022;3. doi:10.3389/frvir.2022.915332
  39. Lee AC, Harada N. Telehealth as a means of health care delivery for physical therapist practice. Phys Ther. 2012;92(3):463-468. doi:10.2522/ptj.20110100
  40. Hynes DM, Edwards S, Hickok A, et al. Veterans’ use of Veterans Health Administration primary care in an era of expanding choice. Med Care. 2021;59(Suppl 3):S292- S300. doi:10.1097/MLR.0000000000001554
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Kelsea LeBeau, PhD, MPHa; Zaccheus J. Ahonle, PhD, CRCa,b; Sharon N. Mburu, PT, MSa,c; Sergio Romero, PhDa; Keith J. Myers, DPT, MBAa

Author affiliations:
aVeterans Rural Health Resource Center, Gainesville, Florida
bMississippi State University, Starkville
cUniversity of Florida, Gainesville

Author disclosures: The authors report no actual or potential conflicts of interest concerning this article.

Correspondence: Kelsea LeBeau ([email protected])

Fed Pract. 2025;42(2). Published online February 18. doi:10.12788/fp.0556

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Kelsea LeBeau, PhD, MPHa; Zaccheus J. Ahonle, PhD, CRCa,b; Sharon N. Mburu, PT, MSa,c; Sergio Romero, PhDa; Keith J. Myers, DPT, MBAa

Author affiliations:
aVeterans Rural Health Resource Center, Gainesville, Florida
bMississippi State University, Starkville
cUniversity of Florida, Gainesville

Author disclosures: The authors report no actual or potential conflicts of interest concerning this article.

Correspondence: Kelsea LeBeau ([email protected])

Fed Pract. 2025;42(2). Published online February 18. doi:10.12788/fp.0556

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Kelsea LeBeau, PhD, MPHa; Zaccheus J. Ahonle, PhD, CRCa,b; Sharon N. Mburu, PT, MSa,c; Sergio Romero, PhDa; Keith J. Myers, DPT, MBAa

Author affiliations:
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bMississippi State University, Starkville
cUniversity of Florida, Gainesville

Author disclosures: The authors report no actual or potential conflicts of interest concerning this article.

Correspondence: Kelsea LeBeau ([email protected])

Fed Pract. 2025;42(2). Published online February 18. doi:10.12788/fp.0556

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The Veterans Health Administration (VHA) is the largest US integrated health system, providing care to veterans through VHA and non-VHA practitioners and facilities.1,2 Providing high-quality, timely, and veteran-centric care remains a priority for the VHA. Legislative efforts have expanded opportunities for eligible veterans to receive care in the community purchased by VHA, known as community care (CC).1 The Veterans Access, Choice, and Accountability Act of 2014 came in response to reports of long wait times and drive times for patients.3-5 The MISSION Act of 2018 expanded access to CC by streamlining it and broadening eligibility criteria, especially for veterans in rural communities who often experience more barriers in accessing care than veterans living in urban communities.1,6-10 Since the implementation of the Choice and MISSION Acts, > 2.7 million veterans have received care through community practitioners within the VHA CC network.11

Background

Increased access to CC could benefit veterans living in rural communities by increasing care options and circumventing challenges to accessing VHA care (ie, geographic, transportation, and distance barriers, practitioner and specialist shortages, and hospital closures). 5,9,10,12,13 However, health care system deficits in rural areas could also limit CC effectiveness for veterans living in those communities. 3 Other challenges posed by using CC include care coordination, information sharing, care continuity, delayed payments to CC practitioners, and mixed findings regarding CC quality.5,8,13,14 VHA practitioners are specifically trained to meet the multifaceted needs unique to veterans’ health and subculture, training CC practitioners may not receive.5,15

CC offers services for primary care and a broad range of specialties, including rehabilitation services such as physical therapy (PT).6 PT is used for the effective treatment of various conditions veterans experience and promote wellbeing and independence.16 US Department of Veterans Affairs (VA) databases reveal a high prevalence of veterans receiving PT services through CC; PT is one of the most frequently used CC outpatient specialty services by veterans living in rural communities.14,17

Telerehabitltation Enterprisewide Initiative

VHA has greatly invested in delivering care virtually, especially for veterans living in rural communities.18 In 2017, the VHA Office of Rural Health funded the Telerehabilitation Enterprise-Wide Initiative (TR-EWI) in partnership with the Physical Medicine and Rehabilitation Services national program office to increase access to specialized rehabilitation services for veterans living in rural communities by leveraging telehealth technologies.18-21 This alternative mode of health care delivery allows clinicians to overcome access barriers by delivering rehabilitation therapies directly to veterans' homes or nearby community-based outpatient clinics. TR-EWI was conceived as a hub-and-spoke model, where rehabilitation expertise at the hub was virtually delivered to spoke sites that did not have in-house expertise. In subsequent years, the TR-EWI also evolved to provide targeted telerehabilitation programs within rural-serving community-based outpatient clinics, including PT as a predominant service.19,20

As TR-EWI progressed—and in conjunction with the uptake of telehealth across VHA during the COVID-19 pandemic—there has been increased focus on PT telerehabilitation, especially for the 4.6 million veterans in rural communities.18,22,23 Because health care delivery system deficits in rural areas could limit the effective use of CC, many TR-EWI sites hope to reduce their CC referrals by providing telehealth PT services to veterans who might otherwise need to be referred to CC. This strategy aligns with VHA goals of providing high-quality and timely care. To better understand opportunities for programs like TR-EWI to provide rehabilitation services for veterans and reduce care sent to the community, research that examines CC referral trends for PT over time is warranted.

This study examines CC from a rehabilitation perspective with a focus on CC referral trends for PT, specifically for Veterans Integrated Service Networks (VISNs) where TREWI sites are located. The study’s objectives were to describe rehabilitation PT services being referred to CC and examine associated CC costs for PT services. Two research questions guided the study. First, what are the utilization trends for CC PT referrals from fiscal year (FY) 2019 to FY 2022? Secondly, what is the cost breakdown of CC for PT referrals from FY 2020 to FY 2022?

Methods

This study was conducted by a multidisciplinary team comprised of public health, disability, rehabilitation counseling, and PT professionals. It was deemed a quality improvement project under VA guidance and followed the SQUIRE guidelines for quality improvement reporting.24,25 The study used the VA Common Operating Platform (Palantir) to obtain individual-level CC referral data from the HealthShare Referral Manager (HSRM) database and consult data from the Computerized Patient Record System. Palantir is used to store and integrate VA data derived from the VA Corporate Data Warehouse and VHA Support Service Center. Referrals are authorizations for care to be delivered by a CC practitioner.

TR-EWI is comprised of 7 sites: VISN 2, VISN 4, VISN 8, VISN 12, VISN 15, VISN 19, and VISN 22. Each site provides telerehabilitation services with an emphasis on reaching veterans living in rural communities. We joined the referrals and consults cubes in Palantir to extract PT referrals for FY 2019 to FY 2022 for the 7 VISNs with TR-EWI sites and obtain referral-specific information and demographic characteristics. 26 Data were extracted in October 2022.

The VHA Community Care Referral Dashboard (CC Dashboard) provided nonindividual level CC cost data.27 The CC Dashboard provides insights into the costs of CC services for VHA enrollees by category of care, standardized episode of care, and eligibility. Data are based on nationallevel HSRM referrals that are not suspended or linked to a canceled or discontinued consult. Data were aggregated by VISN. The dashboard only includes referrals dating back to FY 2020; therefore, PT data from FY 2020 through FY 2022 for VISNs with TR-EWI sites were collected. Data were extracted in December 2022.

This study examined CC referrals, station name, eligibility types, clinical diagnoses (International Classification of Diseases, Tenth Revision codes), and demographic information in the Palantir dataset. Six eligibility criteria can qualify a veteran to receive CC.28 Within clinical diagnoses, the variable of interest was the provisional diagnosis. Patient demographics included age, gender, and rurality of residence, as determined by the Rural-Urban Commuting Area system.29,30 Rural and highly rural categories were combined for analysis. For the CC cost dataset, this study examined CC referrals, referral cost, and eligibility type.

Analysis

For the first research question, we examined referral data from FY 2019 to FY 2022 using the Palantir dataset, performed descriptive statistical analysis for all variables, and analyzed data to identify trends. Descriptive statistics were completed using IBM SPSS Statistics for Windows Version 29.0.0.0.

A qualitative analysis of provisional diagnosis data revealed what is being referred to CC for PT. A preliminary overview of provisional diagnosis data was conducted to familiarize coders with the data. We developed a coding framework to categorize diagnoses based on anatomical location, body structure, and clinical areas of interest. Data were reviewed individually and grouped into categories within the coding framework before meeting as a team to achieve group consensus on categorization. We then totaled the frequency of occurrence for provisional diagnoses within each category. Qualitative analyses were completed using Microsoft Excel.

For the second research question, the study used the CC cost dataset to examine the cost breakdown of CC PT referrals from FY 2020 to FY 2022. We calculated the number and cost of PT referrals across eligibility groups for each FY and VISN. Data were analyzed using SPSS to identify cost trends.

Results

There were 344,406 referrals to CC for PT from FY 2019 to FY 2022 for the 7 VISNs analyzed (Table 1). Of these, 22.5% were from FY 2019, 19.1% from FY 2020, 28.2% from FY 2021, and 30.3% from FY 2022. VISN 8 and VISN 22 reported the most overall PT referrals, with VISN 8 comprising 22.2% and VISN 22 comprising 18.1% of all referrals. VISN 2 reported the least overall referrals (3.7%). VISN 4 and VISN 12 had decreases in referrals over time. VISN 2 and VISN 15 had decreases in referrals from FY 2019 to FY 2021 and slight increases from FY 2021 to FY 2022. VISN 19 and VISN 22 both saw slight increases from FY 2019 to FY 2020 and substantial increases from FY 2020 to FY 2022, with FY 2022 accounting for 40.0% and 42.3% of all referrals for VISN 19 and VISN 20, respectively (Figure 1).

0225FED-ePT-T10225FED-ePT-F1

For FY 2019 and FY 2020, VISN 8 had the highest percentage of referrals (26.7% and 23.2%, respectively), whereas VISN 22 was among the lowest (7.3% and 11.4%, respectively). However, for FY 2021 and FY 2022, VISN 22 reported the highest percentage of referrals (23.5% and 25.3%, respectively) compared to all other VISNs. VISN 2 consistently reported the lowest percentage of referrals across all years.

There were 56 stations analyzed across the 7 VISNs (Appendix 1). Nine stations each accounted for ≥ 3.0% of the total PT referrals and only 2 stations accounted for > 5.0% of referrals. Orlando, Florida (6.0%), Philadelphia, Pennsylvania (5.2%), Tampa, Florida (4.9%), Aurora, Colorado (4.9%), and Gainesville, Florida (4.4%) reported the top 5 highest referrals, with 3 being from VISN 8 (Orlando, Tampa, Gainesville). Stations with the lowest reported referrals were all in VISN 2 in New York: The Bronx, (0%), New York Harbor (0%), Hudson Valley (0.1%) and Finger Lakes (0.2%).

0225FED-ePT-A1
Rurality

Urban stations comprised 56.2% and rural stations comprised 39.8% of PT CC referrals, while 0.2% of referrals were from insular isle US territories: Guam, American Samoa, Northern Marianas, and the Virgin Islands. The sample had missing or unknown data for 3.8% of referrals. FY 2022 had the largest difference in rural and urban referrals. Additionally, there was an overall trend of more referrals over time for rural and urban, with a large increase in rural (+40.0%) and urban (+62.7%) referrals from FY 2020 to FY 2021 and a modest increase from FY 2021 to FY 2022 (+5.2% for rural and +9.1% for urban). There was a decrease in rural (-7.0%) and urban (-3.5%) referrals from FY 2019 to FY 2020 (Figure 2).

0225FED-ePT-F2

There were differences in referrals by rurality and VISN (Table 2). VISN 12, VISN 15, and VISN 19 reported more rural than urban referrals, whereas VISN 4, VISN 8, and VISN 22 reported more urban than rural referrals. VISN 2 reported similar numbers for both, with slightly more urban than rural referrals. When reviewing trends over time for each FY, VISN 12, VISN 15, and VISN 19 reported more rural than urban referrals and VISN 4, VISN 8, and VISN 22 had more urban than rural referrals. In FY 2019 and FY 2020, VISN 2 reported slightly more urban than rural referrals but almost the same number of referrals in FY 2021 and FY 2022 (Appendix 2).

0225FED-ePT-T20225FED-ePT-A2
Demographics

The mean (SD) age was 61.2 (15.8) years (range, 20-105). Most PT CC referrals were for veterans aged 70 to 79 years (26.9%), followed by 60 to 69 years (20.7%), and 50 to 59 years (16.4%) (Appendix 3). Trends were consistent across VISNs. There was less of a difference between rural and urban referral percentages as the population aged. Veterans aged < 49 years residing in more urban areas accounted for more referrals to CC compared to their rural counterparts. This difference was less apparent in the 70 to 79 years and 80 to 89 years age brackets.

0225FED-ePT-A3

Most PT CC referrals (81.2%) were male and 14.8% were female. About 3.6% of referral data were missing sex information, and there was a smaller difference between male veterans living in rural communities and male veterans living in urban communities compared with female veterans. A total of 42.9% of male veterans resided in rural areas compared to 56.8% in urban areas; 32.7% of female veterans resided in rural areas compared to 66.9% in urban areas (Appendix 3).

Other Criteria

Of the 334,406 referrals, 114,983 (34.4%) had eligibility data, mostly from FY 2021 and FY 2022 (Table 3). Available eligibility data were likely affected by the MISSION Act and new regulations for reporting CC eligibility. Distance (33.4%) was the most common eligibility criteria, followed by timeliness of care (28.8%), and best medical interest (19.8%); 40.4% were rural and 59.5% were urban. Distance (55.4%) was most common for rural veterans, while timeliness of care (39.7%) was most common for urban veterans. For both groups, the second most common eligibility reason was best medical interest (Appendix 4).

0225FED-ePT-T30225FED-ePT-A4

Bone, joint, or soft tissue disorders were common diagnoses, with 25.2% located in the lower back, 14.7% in the shoulder, and 12.8% in the knee (Appendix 5). Amputations of the upper and lower limbs, fractures, cancer-related diagnoses, integumentary system disorders, thoracic and abdominal injuries and disorders, and other medical and mental health conditions each accounted for < 1% of the total diagnoses.

0225FED-ePT-A5
Costs

At time of analysis, the CC Dashboard had cost data available for 200,204 CC PT referrals from FY 2020 to FY 2022. The difference in referral numbers for the 2 datasets is likely attributed to several factors: CC cost data is exclusively from the HSRM, whereas Palantir includes other data sources; how VA cleans data pulled into Palantir; how the CC Dashboard algorithm populates data; and variances based on timing of reporting and/or if referrals are eventually canceled.

The total cost of PT CC referrals from FY 2020 to FY 2022 in selected VISNs was about $220,615,399 (Appendix 6). Appendix 7 details the methodology for determining the average standardized episode- of-care cost by VISN and how referral costs are calculated. Data show a continuous increase in total estimated cost from $46.8 million in FY 2020 to $92.1 million in FY 2022. From FY 2020 to FY 2022, aggregate costs ranged from $6,758,053 in VISN 2 to $47,209,162 in VISN 8 (Figure 3). The total referral cost for PT was highest at VISN 4 in FY 2020 ($10,447,140) and highest at VISN 22 in FY 2021 ($18,835,657) and FY 2022 ($22,962,438) (Figure 4). For referral costs from FY 2020 to FY 2022, distance accounted for $75,561,948 (34.3%), timeliness of care accounted for $60,413,496 (27.3%), and best medical interest accounted for $46,291,390 (21.0%) (Table 4).

0225FED-ePT-A70225FED-ePT-A6

 

0225FED-ePT-F30225FED-ePT-F40225FED-ePT-T4

Overall costs were primarily driven by specific VISNs within each eligibility type (Appendix 8; Figure 5). VISN 19, VISN 22, and VISN 15 accounted for the highest referral costs for distance; VISN 22, VISN 8, and VISN 19 accounted for the secondhighest referral cost, timeliness of care; and VISN 4, VISN 8, and VISN 12 accounted for the third-highest referral cost, best medical interest (Figure 5). VISN 2, VISN 4, VISN 12, VISN 15, and VISN 22 had service unavailable as an eligibility type with 1 of the top 3 associated referral costs, which was higher in cost than timeliness of care for VISN 2, VISN 4, VISN 12, and VISN 15.

0225FED-ePT-A280225FED-ePT-F5

Discussion

This study examines the referral of rehabilitation PT services to CC, evaluates CC costs for PT services, and analyzes utilization and cost trends among veterans within the VHA. Utilization data demonstrated a decrease in referrals from FY 2019 to FY 2020 and increases in referrals from FY 2020 to FY 2022 for most variables of interest, with cost data exhibiting similar trends. Results highlight the need for further investigation to address variations in PT referrals and costs across VISNs and eligibility reasons for CC referral.

Results demonstrated a noteworthy increase in PT CC referrals over time. The largest increase occurred from FY 2020 to FY 2021, with a smaller increase from FY 2021 to FY 2022. During this period, total enrollee numbers decreased by 3.0% across the 7 VISNs included in this analysis and by 1.6% across all VISNs, a trend that illustrates an overall decrease in enrollees as CC use increased. Results align with the implementation of the MISSION Act of 2018, which further expanded veterans’ options to use CC.1,6,7 Results also align with the onset of the COVID-19 pandemic, which disrupted care access for many veterans, placed a larger emphasis on the use of telehealth, and increased opportunities to stay within the VA for care by rapidly shifting to telehealth and leveraging telerehabilitation investments and initiatives (such as TR-EWI).20,31

VISN 8, VISN 19, and VISN 22, accounted for more than half of PT referrals. These VISNs had higher enrollee counts compared to the other VISNs.32 VISN 8 consistently had high levels of referrals, whereas VISN 19 and VISN 22 saw dramatic increases in FY 2021 and FY 2022. In contrast, VISN 4 and VISN 12 gradually decreased referrals during the study. VISN 2 had the lowest referral numbers during the study period, and all stations with the lowest individual referral numbers were located within VISN 2. Of the VISNs included in this study, VISN 2 had the second lowest number of enrollees (324,042).32 Reasons for increases and decreases over time could not be determined based on data collected in this study.

There were more urban than rural PT CC referrals; however, both exhibited an increase in referrals over time. This is consistent with population trends showing that most VHA patients (62.6%) and veterans (75.9%) reside in urban areas, which could explain some of the trends in this study.33 Some VISNs have larger urban catchment areas (eg, VISN 8 and VISN 22), and some have larger rural catchment areas (eg, VISN 15 and VISN 19), which could partially explain the rural-urban differences by VISN.32 Rural-urban referral trends might also reflect existing health care delivery system deficits in rural areas and known challenges associated with accessing health care for veterans living in rural communities.8,9

This study found larger differences in rural and urban PT CC referrals for younger age groups, with more than twice as many urban referrals in veterans aged 20 to 29 years and aged 30 to 39 years, and roughly 1.8 times as many urban referrals in veterans aged 40 to 49 years. However, there were similar numbers of rural and urban referrals in those aged 70 to 79 years and aged 80 to 89 years. These trends are consistent with data showing veterans residing in rural communities are older than their urban counterparts.23,34 Data suggest that older veteran populations might seek PT at higher rates than younger veteran populations. Moreover, data suggest there could be differences in PT-seeking rates for younger veteran populations who reside in rural vs urban areas. Additional research is needed to understand these trends.

Distance and timeliness of care were the predominant reasons for referral among eligibility groups, which is consistent with the MISSION Act goals.1,6,7 The most common eligibility reason for rural referrals was distance; timeliness of care was most common for urban referrals. This finding is expected, as veterans living in rural communities are farther away from VHA facilities and have longer drive times, whereas veterans living in urban communities might live closer, yet experience longer wait times due to services and/or appointment availability. Best medical interest accounted for almost 20% of referrals, which does not provide detailed insights into why those veterans were referred to CC.

The top PT diagnoses referred to CC were related to bone, joint, or soft tissue disorders of the lower back, shoulder, and knee. This suggests that musculoskeletal-related issues are prevalent among veterans seeking PT care, which is consistent with research that found > 50% of veterans receiving VHA care have musculoskeletal disorders.35 The probability of experiencing musculoskeletal problems increases with age, as does the need for PT services. Amputations and fractures accounted for < 1% of CC referrals, which is consistent with the historic provision of VHA clinical specialized care to conditions prevalent among veterans. It may also represent VHA efforts to internally provide care for complex conditions requiring more extensive interdisciplinary coordination.

The total cost of referrals over time was about $221 million. VISN 8 accounted for the highest overall cost; VISN 2 had the lowest, mirroring referral utilization trends and aligning with VISN enrollee numbers. VISN 19 and VISN 22 reported large cost increases from FY 2020 to FY 2021. Total referral costs increased by $34.9 million from FY 2020 to FY 2021, which may be due to health care inflation (2.9% during FY 2019 to FY 2022), increased awareness of CC services, or increased VHA wait times.36 Additionally, there were limitations in care provided across health care systems during the COVID-19 pandemic, including the VA.5 The increase from FY 2020 to FY 2021 may reflect a rebound from restrictions in appointments across VA, CC, and the private sector.

While the increase in total referral cost may be partly attributed to inflation, the cost effectiveness and efficiency of referring veterans to CC vs keeping veterans within VHA care is an ongoing debate.5 Examining and addressing cost drivers within the top eligibility types and their respective VISNs is necessary to determine resource allocation and improve quality of care. This study found that best medical interest and unavailable services accounted for 33.4% of the total cost of CC referrals, highlighting the need for policies that strengthen in-house competencies and recruit personnel to provide PT services currently unavailable within the VA.

Future Directions

The VHA should explore opportunities for in-house care, especially for services appropriate for telehealth.18,20,37 Data indicated a smaller cost increase from FY 2021 to FY 2022 compared to the relatively large increase from FY 2020 to FY 2021. The increased telehealth usage across VHA by TR-EWI and non—TR-EWI sites within selected VISNs may have contributed to limiting the increase in CC costs. Future studies should investigate contextual factors of increased telehealth usage, which would offer guidance for implementation to optimize the integration of telehealth with PT rehabilitation provided in-house. Additionally, future studies can examine potential limitations experienced during PT telehealth visits, such as the inability to conduct hands-on assessments, challenges in viewing the quality of patient movement, ensuring patient safety in the remote environment, and the lack of PT equipment in homes for telehealth visits, and how these challenges are being addressed.38,39 Research is also needed to understand tradeoffs of CC vs VHA care and the potential and cost benefits of keeping veterans within VHA using programs like TR-EWI.5 Veterans living in rural communities may especially benefit from this as expanding telehealth options can provide access to PT care that may not be readily available, enabling them to stay connected and engaged in their care.18,40

Future studies could examine contributory factors to rising costs, such as demographic shifts, changes in PT service utilization, and policy. Researchers might also consider qualitative studies with clinicians and veterans within each VISN, which may provide insights into how local factors impact PT referral to the community.

Limitations

Due to its descriptive nature, this study can only speculate about factors influencing trends. Limitations include the inability to link the Palantir and CC Dashboard datasets for cost comparisons and potential data change over time on Palantir due to platform updates. The focus on VISNs with TREWI sites limited generalizability and this study did not compare CC PT vs VHA PT. Finally, there may have been cost drivers not identified in this study.

Conclusions

This descriptive study provides insights into the utilization and cost of PT CC referrals for selected VISNs. Cost trends underscore the financial commitment to providing PT services to veterans. Understanding what factors are driving this cost is necessary for VHA to optimally provide and manage the rehabilitation resources needed to serve veterans through traditional in-person care, telehealth, and CC options while ensuring timely, highquality care.

 

The Veterans Health Administration (VHA) is the largest US integrated health system, providing care to veterans through VHA and non-VHA practitioners and facilities.1,2 Providing high-quality, timely, and veteran-centric care remains a priority for the VHA. Legislative efforts have expanded opportunities for eligible veterans to receive care in the community purchased by VHA, known as community care (CC).1 The Veterans Access, Choice, and Accountability Act of 2014 came in response to reports of long wait times and drive times for patients.3-5 The MISSION Act of 2018 expanded access to CC by streamlining it and broadening eligibility criteria, especially for veterans in rural communities who often experience more barriers in accessing care than veterans living in urban communities.1,6-10 Since the implementation of the Choice and MISSION Acts, > 2.7 million veterans have received care through community practitioners within the VHA CC network.11

Background

Increased access to CC could benefit veterans living in rural communities by increasing care options and circumventing challenges to accessing VHA care (ie, geographic, transportation, and distance barriers, practitioner and specialist shortages, and hospital closures). 5,9,10,12,13 However, health care system deficits in rural areas could also limit CC effectiveness for veterans living in those communities. 3 Other challenges posed by using CC include care coordination, information sharing, care continuity, delayed payments to CC practitioners, and mixed findings regarding CC quality.5,8,13,14 VHA practitioners are specifically trained to meet the multifaceted needs unique to veterans’ health and subculture, training CC practitioners may not receive.5,15

CC offers services for primary care and a broad range of specialties, including rehabilitation services such as physical therapy (PT).6 PT is used for the effective treatment of various conditions veterans experience and promote wellbeing and independence.16 US Department of Veterans Affairs (VA) databases reveal a high prevalence of veterans receiving PT services through CC; PT is one of the most frequently used CC outpatient specialty services by veterans living in rural communities.14,17

Telerehabitltation Enterprisewide Initiative

VHA has greatly invested in delivering care virtually, especially for veterans living in rural communities.18 In 2017, the VHA Office of Rural Health funded the Telerehabilitation Enterprise-Wide Initiative (TR-EWI) in partnership with the Physical Medicine and Rehabilitation Services national program office to increase access to specialized rehabilitation services for veterans living in rural communities by leveraging telehealth technologies.18-21 This alternative mode of health care delivery allows clinicians to overcome access barriers by delivering rehabilitation therapies directly to veterans' homes or nearby community-based outpatient clinics. TR-EWI was conceived as a hub-and-spoke model, where rehabilitation expertise at the hub was virtually delivered to spoke sites that did not have in-house expertise. In subsequent years, the TR-EWI also evolved to provide targeted telerehabilitation programs within rural-serving community-based outpatient clinics, including PT as a predominant service.19,20

As TR-EWI progressed—and in conjunction with the uptake of telehealth across VHA during the COVID-19 pandemic—there has been increased focus on PT telerehabilitation, especially for the 4.6 million veterans in rural communities.18,22,23 Because health care delivery system deficits in rural areas could limit the effective use of CC, many TR-EWI sites hope to reduce their CC referrals by providing telehealth PT services to veterans who might otherwise need to be referred to CC. This strategy aligns with VHA goals of providing high-quality and timely care. To better understand opportunities for programs like TR-EWI to provide rehabilitation services for veterans and reduce care sent to the community, research that examines CC referral trends for PT over time is warranted.

This study examines CC from a rehabilitation perspective with a focus on CC referral trends for PT, specifically for Veterans Integrated Service Networks (VISNs) where TREWI sites are located. The study’s objectives were to describe rehabilitation PT services being referred to CC and examine associated CC costs for PT services. Two research questions guided the study. First, what are the utilization trends for CC PT referrals from fiscal year (FY) 2019 to FY 2022? Secondly, what is the cost breakdown of CC for PT referrals from FY 2020 to FY 2022?

Methods

This study was conducted by a multidisciplinary team comprised of public health, disability, rehabilitation counseling, and PT professionals. It was deemed a quality improvement project under VA guidance and followed the SQUIRE guidelines for quality improvement reporting.24,25 The study used the VA Common Operating Platform (Palantir) to obtain individual-level CC referral data from the HealthShare Referral Manager (HSRM) database and consult data from the Computerized Patient Record System. Palantir is used to store and integrate VA data derived from the VA Corporate Data Warehouse and VHA Support Service Center. Referrals are authorizations for care to be delivered by a CC practitioner.

TR-EWI is comprised of 7 sites: VISN 2, VISN 4, VISN 8, VISN 12, VISN 15, VISN 19, and VISN 22. Each site provides telerehabilitation services with an emphasis on reaching veterans living in rural communities. We joined the referrals and consults cubes in Palantir to extract PT referrals for FY 2019 to FY 2022 for the 7 VISNs with TR-EWI sites and obtain referral-specific information and demographic characteristics. 26 Data were extracted in October 2022.

The VHA Community Care Referral Dashboard (CC Dashboard) provided nonindividual level CC cost data.27 The CC Dashboard provides insights into the costs of CC services for VHA enrollees by category of care, standardized episode of care, and eligibility. Data are based on nationallevel HSRM referrals that are not suspended or linked to a canceled or discontinued consult. Data were aggregated by VISN. The dashboard only includes referrals dating back to FY 2020; therefore, PT data from FY 2020 through FY 2022 for VISNs with TR-EWI sites were collected. Data were extracted in December 2022.

This study examined CC referrals, station name, eligibility types, clinical diagnoses (International Classification of Diseases, Tenth Revision codes), and demographic information in the Palantir dataset. Six eligibility criteria can qualify a veteran to receive CC.28 Within clinical diagnoses, the variable of interest was the provisional diagnosis. Patient demographics included age, gender, and rurality of residence, as determined by the Rural-Urban Commuting Area system.29,30 Rural and highly rural categories were combined for analysis. For the CC cost dataset, this study examined CC referrals, referral cost, and eligibility type.

Analysis

For the first research question, we examined referral data from FY 2019 to FY 2022 using the Palantir dataset, performed descriptive statistical analysis for all variables, and analyzed data to identify trends. Descriptive statistics were completed using IBM SPSS Statistics for Windows Version 29.0.0.0.

A qualitative analysis of provisional diagnosis data revealed what is being referred to CC for PT. A preliminary overview of provisional diagnosis data was conducted to familiarize coders with the data. We developed a coding framework to categorize diagnoses based on anatomical location, body structure, and clinical areas of interest. Data were reviewed individually and grouped into categories within the coding framework before meeting as a team to achieve group consensus on categorization. We then totaled the frequency of occurrence for provisional diagnoses within each category. Qualitative analyses were completed using Microsoft Excel.

For the second research question, the study used the CC cost dataset to examine the cost breakdown of CC PT referrals from FY 2020 to FY 2022. We calculated the number and cost of PT referrals across eligibility groups for each FY and VISN. Data were analyzed using SPSS to identify cost trends.

Results

There were 344,406 referrals to CC for PT from FY 2019 to FY 2022 for the 7 VISNs analyzed (Table 1). Of these, 22.5% were from FY 2019, 19.1% from FY 2020, 28.2% from FY 2021, and 30.3% from FY 2022. VISN 8 and VISN 22 reported the most overall PT referrals, with VISN 8 comprising 22.2% and VISN 22 comprising 18.1% of all referrals. VISN 2 reported the least overall referrals (3.7%). VISN 4 and VISN 12 had decreases in referrals over time. VISN 2 and VISN 15 had decreases in referrals from FY 2019 to FY 2021 and slight increases from FY 2021 to FY 2022. VISN 19 and VISN 22 both saw slight increases from FY 2019 to FY 2020 and substantial increases from FY 2020 to FY 2022, with FY 2022 accounting for 40.0% and 42.3% of all referrals for VISN 19 and VISN 20, respectively (Figure 1).

0225FED-ePT-T10225FED-ePT-F1

For FY 2019 and FY 2020, VISN 8 had the highest percentage of referrals (26.7% and 23.2%, respectively), whereas VISN 22 was among the lowest (7.3% and 11.4%, respectively). However, for FY 2021 and FY 2022, VISN 22 reported the highest percentage of referrals (23.5% and 25.3%, respectively) compared to all other VISNs. VISN 2 consistently reported the lowest percentage of referrals across all years.

There were 56 stations analyzed across the 7 VISNs (Appendix 1). Nine stations each accounted for ≥ 3.0% of the total PT referrals and only 2 stations accounted for > 5.0% of referrals. Orlando, Florida (6.0%), Philadelphia, Pennsylvania (5.2%), Tampa, Florida (4.9%), Aurora, Colorado (4.9%), and Gainesville, Florida (4.4%) reported the top 5 highest referrals, with 3 being from VISN 8 (Orlando, Tampa, Gainesville). Stations with the lowest reported referrals were all in VISN 2 in New York: The Bronx, (0%), New York Harbor (0%), Hudson Valley (0.1%) and Finger Lakes (0.2%).

0225FED-ePT-A1
Rurality

Urban stations comprised 56.2% and rural stations comprised 39.8% of PT CC referrals, while 0.2% of referrals were from insular isle US territories: Guam, American Samoa, Northern Marianas, and the Virgin Islands. The sample had missing or unknown data for 3.8% of referrals. FY 2022 had the largest difference in rural and urban referrals. Additionally, there was an overall trend of more referrals over time for rural and urban, with a large increase in rural (+40.0%) and urban (+62.7%) referrals from FY 2020 to FY 2021 and a modest increase from FY 2021 to FY 2022 (+5.2% for rural and +9.1% for urban). There was a decrease in rural (-7.0%) and urban (-3.5%) referrals from FY 2019 to FY 2020 (Figure 2).

0225FED-ePT-F2

There were differences in referrals by rurality and VISN (Table 2). VISN 12, VISN 15, and VISN 19 reported more rural than urban referrals, whereas VISN 4, VISN 8, and VISN 22 reported more urban than rural referrals. VISN 2 reported similar numbers for both, with slightly more urban than rural referrals. When reviewing trends over time for each FY, VISN 12, VISN 15, and VISN 19 reported more rural than urban referrals and VISN 4, VISN 8, and VISN 22 had more urban than rural referrals. In FY 2019 and FY 2020, VISN 2 reported slightly more urban than rural referrals but almost the same number of referrals in FY 2021 and FY 2022 (Appendix 2).

0225FED-ePT-T20225FED-ePT-A2
Demographics

The mean (SD) age was 61.2 (15.8) years (range, 20-105). Most PT CC referrals were for veterans aged 70 to 79 years (26.9%), followed by 60 to 69 years (20.7%), and 50 to 59 years (16.4%) (Appendix 3). Trends were consistent across VISNs. There was less of a difference between rural and urban referral percentages as the population aged. Veterans aged < 49 years residing in more urban areas accounted for more referrals to CC compared to their rural counterparts. This difference was less apparent in the 70 to 79 years and 80 to 89 years age brackets.

0225FED-ePT-A3

Most PT CC referrals (81.2%) were male and 14.8% were female. About 3.6% of referral data were missing sex information, and there was a smaller difference between male veterans living in rural communities and male veterans living in urban communities compared with female veterans. A total of 42.9% of male veterans resided in rural areas compared to 56.8% in urban areas; 32.7% of female veterans resided in rural areas compared to 66.9% in urban areas (Appendix 3).

Other Criteria

Of the 334,406 referrals, 114,983 (34.4%) had eligibility data, mostly from FY 2021 and FY 2022 (Table 3). Available eligibility data were likely affected by the MISSION Act and new regulations for reporting CC eligibility. Distance (33.4%) was the most common eligibility criteria, followed by timeliness of care (28.8%), and best medical interest (19.8%); 40.4% were rural and 59.5% were urban. Distance (55.4%) was most common for rural veterans, while timeliness of care (39.7%) was most common for urban veterans. For both groups, the second most common eligibility reason was best medical interest (Appendix 4).

0225FED-ePT-T30225FED-ePT-A4

Bone, joint, or soft tissue disorders were common diagnoses, with 25.2% located in the lower back, 14.7% in the shoulder, and 12.8% in the knee (Appendix 5). Amputations of the upper and lower limbs, fractures, cancer-related diagnoses, integumentary system disorders, thoracic and abdominal injuries and disorders, and other medical and mental health conditions each accounted for < 1% of the total diagnoses.

0225FED-ePT-A5
Costs

At time of analysis, the CC Dashboard had cost data available for 200,204 CC PT referrals from FY 2020 to FY 2022. The difference in referral numbers for the 2 datasets is likely attributed to several factors: CC cost data is exclusively from the HSRM, whereas Palantir includes other data sources; how VA cleans data pulled into Palantir; how the CC Dashboard algorithm populates data; and variances based on timing of reporting and/or if referrals are eventually canceled.

The total cost of PT CC referrals from FY 2020 to FY 2022 in selected VISNs was about $220,615,399 (Appendix 6). Appendix 7 details the methodology for determining the average standardized episode- of-care cost by VISN and how referral costs are calculated. Data show a continuous increase in total estimated cost from $46.8 million in FY 2020 to $92.1 million in FY 2022. From FY 2020 to FY 2022, aggregate costs ranged from $6,758,053 in VISN 2 to $47,209,162 in VISN 8 (Figure 3). The total referral cost for PT was highest at VISN 4 in FY 2020 ($10,447,140) and highest at VISN 22 in FY 2021 ($18,835,657) and FY 2022 ($22,962,438) (Figure 4). For referral costs from FY 2020 to FY 2022, distance accounted for $75,561,948 (34.3%), timeliness of care accounted for $60,413,496 (27.3%), and best medical interest accounted for $46,291,390 (21.0%) (Table 4).

0225FED-ePT-A70225FED-ePT-A6

 

0225FED-ePT-F30225FED-ePT-F40225FED-ePT-T4

Overall costs were primarily driven by specific VISNs within each eligibility type (Appendix 8; Figure 5). VISN 19, VISN 22, and VISN 15 accounted for the highest referral costs for distance; VISN 22, VISN 8, and VISN 19 accounted for the secondhighest referral cost, timeliness of care; and VISN 4, VISN 8, and VISN 12 accounted for the third-highest referral cost, best medical interest (Figure 5). VISN 2, VISN 4, VISN 12, VISN 15, and VISN 22 had service unavailable as an eligibility type with 1 of the top 3 associated referral costs, which was higher in cost than timeliness of care for VISN 2, VISN 4, VISN 12, and VISN 15.

0225FED-ePT-A280225FED-ePT-F5

Discussion

This study examines the referral of rehabilitation PT services to CC, evaluates CC costs for PT services, and analyzes utilization and cost trends among veterans within the VHA. Utilization data demonstrated a decrease in referrals from FY 2019 to FY 2020 and increases in referrals from FY 2020 to FY 2022 for most variables of interest, with cost data exhibiting similar trends. Results highlight the need for further investigation to address variations in PT referrals and costs across VISNs and eligibility reasons for CC referral.

Results demonstrated a noteworthy increase in PT CC referrals over time. The largest increase occurred from FY 2020 to FY 2021, with a smaller increase from FY 2021 to FY 2022. During this period, total enrollee numbers decreased by 3.0% across the 7 VISNs included in this analysis and by 1.6% across all VISNs, a trend that illustrates an overall decrease in enrollees as CC use increased. Results align with the implementation of the MISSION Act of 2018, which further expanded veterans’ options to use CC.1,6,7 Results also align with the onset of the COVID-19 pandemic, which disrupted care access for many veterans, placed a larger emphasis on the use of telehealth, and increased opportunities to stay within the VA for care by rapidly shifting to telehealth and leveraging telerehabilitation investments and initiatives (such as TR-EWI).20,31

VISN 8, VISN 19, and VISN 22, accounted for more than half of PT referrals. These VISNs had higher enrollee counts compared to the other VISNs.32 VISN 8 consistently had high levels of referrals, whereas VISN 19 and VISN 22 saw dramatic increases in FY 2021 and FY 2022. In contrast, VISN 4 and VISN 12 gradually decreased referrals during the study. VISN 2 had the lowest referral numbers during the study period, and all stations with the lowest individual referral numbers were located within VISN 2. Of the VISNs included in this study, VISN 2 had the second lowest number of enrollees (324,042).32 Reasons for increases and decreases over time could not be determined based on data collected in this study.

There were more urban than rural PT CC referrals; however, both exhibited an increase in referrals over time. This is consistent with population trends showing that most VHA patients (62.6%) and veterans (75.9%) reside in urban areas, which could explain some of the trends in this study.33 Some VISNs have larger urban catchment areas (eg, VISN 8 and VISN 22), and some have larger rural catchment areas (eg, VISN 15 and VISN 19), which could partially explain the rural-urban differences by VISN.32 Rural-urban referral trends might also reflect existing health care delivery system deficits in rural areas and known challenges associated with accessing health care for veterans living in rural communities.8,9

This study found larger differences in rural and urban PT CC referrals for younger age groups, with more than twice as many urban referrals in veterans aged 20 to 29 years and aged 30 to 39 years, and roughly 1.8 times as many urban referrals in veterans aged 40 to 49 years. However, there were similar numbers of rural and urban referrals in those aged 70 to 79 years and aged 80 to 89 years. These trends are consistent with data showing veterans residing in rural communities are older than their urban counterparts.23,34 Data suggest that older veteran populations might seek PT at higher rates than younger veteran populations. Moreover, data suggest there could be differences in PT-seeking rates for younger veteran populations who reside in rural vs urban areas. Additional research is needed to understand these trends.

Distance and timeliness of care were the predominant reasons for referral among eligibility groups, which is consistent with the MISSION Act goals.1,6,7 The most common eligibility reason for rural referrals was distance; timeliness of care was most common for urban referrals. This finding is expected, as veterans living in rural communities are farther away from VHA facilities and have longer drive times, whereas veterans living in urban communities might live closer, yet experience longer wait times due to services and/or appointment availability. Best medical interest accounted for almost 20% of referrals, which does not provide detailed insights into why those veterans were referred to CC.

The top PT diagnoses referred to CC were related to bone, joint, or soft tissue disorders of the lower back, shoulder, and knee. This suggests that musculoskeletal-related issues are prevalent among veterans seeking PT care, which is consistent with research that found > 50% of veterans receiving VHA care have musculoskeletal disorders.35 The probability of experiencing musculoskeletal problems increases with age, as does the need for PT services. Amputations and fractures accounted for < 1% of CC referrals, which is consistent with the historic provision of VHA clinical specialized care to conditions prevalent among veterans. It may also represent VHA efforts to internally provide care for complex conditions requiring more extensive interdisciplinary coordination.

The total cost of referrals over time was about $221 million. VISN 8 accounted for the highest overall cost; VISN 2 had the lowest, mirroring referral utilization trends and aligning with VISN enrollee numbers. VISN 19 and VISN 22 reported large cost increases from FY 2020 to FY 2021. Total referral costs increased by $34.9 million from FY 2020 to FY 2021, which may be due to health care inflation (2.9% during FY 2019 to FY 2022), increased awareness of CC services, or increased VHA wait times.36 Additionally, there were limitations in care provided across health care systems during the COVID-19 pandemic, including the VA.5 The increase from FY 2020 to FY 2021 may reflect a rebound from restrictions in appointments across VA, CC, and the private sector.

While the increase in total referral cost may be partly attributed to inflation, the cost effectiveness and efficiency of referring veterans to CC vs keeping veterans within VHA care is an ongoing debate.5 Examining and addressing cost drivers within the top eligibility types and their respective VISNs is necessary to determine resource allocation and improve quality of care. This study found that best medical interest and unavailable services accounted for 33.4% of the total cost of CC referrals, highlighting the need for policies that strengthen in-house competencies and recruit personnel to provide PT services currently unavailable within the VA.

Future Directions

The VHA should explore opportunities for in-house care, especially for services appropriate for telehealth.18,20,37 Data indicated a smaller cost increase from FY 2021 to FY 2022 compared to the relatively large increase from FY 2020 to FY 2021. The increased telehealth usage across VHA by TR-EWI and non—TR-EWI sites within selected VISNs may have contributed to limiting the increase in CC costs. Future studies should investigate contextual factors of increased telehealth usage, which would offer guidance for implementation to optimize the integration of telehealth with PT rehabilitation provided in-house. Additionally, future studies can examine potential limitations experienced during PT telehealth visits, such as the inability to conduct hands-on assessments, challenges in viewing the quality of patient movement, ensuring patient safety in the remote environment, and the lack of PT equipment in homes for telehealth visits, and how these challenges are being addressed.38,39 Research is also needed to understand tradeoffs of CC vs VHA care and the potential and cost benefits of keeping veterans within VHA using programs like TR-EWI.5 Veterans living in rural communities may especially benefit from this as expanding telehealth options can provide access to PT care that may not be readily available, enabling them to stay connected and engaged in their care.18,40

Future studies could examine contributory factors to rising costs, such as demographic shifts, changes in PT service utilization, and policy. Researchers might also consider qualitative studies with clinicians and veterans within each VISN, which may provide insights into how local factors impact PT referral to the community.

Limitations

Due to its descriptive nature, this study can only speculate about factors influencing trends. Limitations include the inability to link the Palantir and CC Dashboard datasets for cost comparisons and potential data change over time on Palantir due to platform updates. The focus on VISNs with TREWI sites limited generalizability and this study did not compare CC PT vs VHA PT. Finally, there may have been cost drivers not identified in this study.

Conclusions

This descriptive study provides insights into the utilization and cost of PT CC referrals for selected VISNs. Cost trends underscore the financial commitment to providing PT services to veterans. Understanding what factors are driving this cost is necessary for VHA to optimally provide and manage the rehabilitation resources needed to serve veterans through traditional in-person care, telehealth, and CC options while ensuring timely, highquality care.

References
  1. Congressional Budget Office. The Veterans Community Care Program: Background and Early Effects. October 26, 2021. Accessed September 23, 2024. https://www.cbo.gov/publication/57257
  2. US Dept of Veterans Affairs. Providing Health Care for Veterans. Updated September 10, 2024. Accessed September 23, 2024. https://www.va.gov/health/
  3. Davila H, Rosen AK, Beilstein-Wedel E, Shwartz M, Chatelain LJ, Gurewich D. Rural veterans’ experiences with outpatient care in the Veterans Health Administration versus community care. Med Care. 2021;59(Suppl 3):S286-S291. doi:10.1097/MLR.0000000000001552
  4. Vanneman ME, Wagner TH, Shwartz M, et al. Veterans’ experiences with outpatient care: comparing the Veterans Affairs system with community-based care. Health Aff (Millwood). 2020;39(8):1368-1376. doi:10.1377/hlthaff.2019.01375
  5. Rasmussen P, Farmer CM. The promise and challenges of VA community care: veterans’ issues in focus. Rand Health Q. 2023;10(3):9.
  6. Feyman Y, Legler A, Griffith KN. Appointment wait time data for primary & specialty care in veterans health administration facilities vs. community medical centers. Data Brief. 2021;36:107134. doi:10.1016/j.dib.2021.107134
  7. Kelley AT, Greenstone CL, Kirsh SR. Defining access and the role of community care in the Veterans Health Administration. J Gen Intern Med. 2020;35(5):1584-1585. doi:10.1007/s11606-019-05358-z
  8. Garvin LA, Pugatch M, Gurewich D, Pendergast JN, Miller CJ. Interorganizational care coordination of rural veterans by Veterans Affairs and community care programs: a systematic review. Med Care. 2021;59(Suppl 3):S259-S269. doi:10.1097/MLR.0000000000001542
  9. US Dept of Veterans Affairs, Office of Rural Health. Rural Veterans: Rural Veteran Health Care Challenges. Updated May 14, 2024. Accessed September 23, 2024. https:// www.ruralhealth.va.gov/aboutus/ruralvets.asp
  10. Ohl ME, Carrell M, Thurman A, et al. “Availability of healthcare providers for rural veterans eligible for purchased care under the veterans choice act.” BMC Health Serv Res. 2018;18(1):315. doi:10.1186/s12913-018-3108-8
  11. Mattocks KM, Cunningham KJ, Greenstone C, Atkins D, Rosen AK, Upton M. Innovations in community care programs, policies, and research. Med Care. 2021;59(Suppl 3):S229-S231. doi:10.1097/MLR.0000000000001550
  12. Doyle JM, Streeter RA. Veterans’ location in health professional shortage areas: implications for access to care and workforce supply. Health Serv Res. 2017;52 Suppl 1(Suppl 1):459-480. doi:10.1111/1475-6773.12633
  13. Patzel M, Barnes C, Ramalingam N, et al. Jumping through hoops: community care clinician and staff experiences providing primary care to rural veterans. J Gen Intern Med. 2023;38(Suppl 3):821-828. doi:10.1007/s11606-023-08126-2
  14. Mattocks KM, Kroll-Desrosiers A, Kinney R, Elwy AR, Cunningham KJ, Mengeling MA. Understanding VA’s use of and relationships with community care providers under the MISSION Act. Med Care. 2021;59(Suppl 3):S252-S258. doi:10.1097/MLR.0000000000001545
  15. Olenick M, Flowers M, Diaz VJ. US veterans and their unique issues: enhancing health care professional awareness. Adv Med Educ Pract. 2015;6:635-639. doi:10.2147/AMEP.S89479
  16. Campbell P, Pope R, Simas V, Canetti E, Schram B, Orr R. The effects of early physiotherapy treatment on musculoskeletal injury outcomes in military personnel: a narrative review. Int J Environ Res Public Health. 2022;19(20):13416. doi:10.3390/ijerph192013416
  17. Gurewich D, Shwartz M, Beilstein-Wedel E, Davila H, Rosen AK. Did access to care improve since passage of the veterans choice act? Differences between rural and urban veterans. Med Care. 2021;59(Suppl 3):S270-S278. doi:10.1097/MLR.0000000000001490
  18. Myers US, Birks A, Grubaugh AL, Axon RN. Flattening the curve by getting ahead of it: how the VA healthcare system is leveraging telehealth to provide continued access to care for rural veterans. J Rural Health. 2021;37(1):194-196. doi:10.1111/jrh.12449
  19. Hale-Gallardo JL, Kreider CM, Jia H, et al. Telerehabilitation for rural veterans: a qualitative assessment of barriers and facilitators to implementation. J Multidiscip Healthc. 2020;13:559-570. doi:10.2147/JMDH.S247267
  20. Kreider CM, Hale-Gallardo J, Kramer JC, et al. Providers’ shift to telerehabilitation at the U.S. Veterans Health Administration during COVID-19: practical applications. Front Public Health. 2022;10:831762. doi:10.3389/fpubh.2022.831762
  21. Cowper-Ripley DC, Jia H, Wang X, et al. Trends in VA telerehabilitation patients and encounters over time and by rurality. Fed Pract. 2019;36(3):122-128.
  22. US Dept of Veterans Affairs, Office of Rural Health. VHA Office of Rural Health. Updated August 30, 2024. Accessed September 23, 2024. https://www.ruralhealth.va.gov/index.asp
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  24. U.S. Department of Veterans Affairs, Office of Research & Development. Program Guide: 1200.21, VHA Operations Activities That May Constitute Research. January 9, 2019. https://www.research.va.gov/resources/policies/ProgramGuide-1200-21-VHA-Operations-Activities.pdf
  25. Ogrinc G, Davies L, Goodman D, Batalden P, Davidoff F, Stevens D. SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process. J Nurs Care Qual. 2016;31(1):1-8. doi:10.1097/NCQ.0000000000000153
  26. US Dept of Veterans Affairs. Veterans Health Administration: Veterans Integrated Service Networks (VISNs). Updated January 29, 2024. Accessed September 23, 2024. https://www.va.gov/HEALTH/visns.asp
  27. Stomberg C, Frost A, Becker C, Stang H, Windschitl M, Carrier E. Community Care referral dashboard [Data dashboard]. https://app.powerbigov.us/groups/me/reports/090d22a7-0e1f-4cc5-bea8-0a1b87aa0bd9/ReportSectionacfd03cdebd76ffca9ec [Source not verified]
  28. US Dept of Veterans Affairs. Eligibility for community care outside VA. Updated May 30, 2024. Accessed September 23, 2024. https://www.va.gov/COMMUNITYCARE/programs/veterans/General_Care.asp
  29. US Department of Veterans Affairs, Office of Rural Health. How to define rurality fact sheet. Updated December 2023. Accessed January 28, 2025. https://www.ruralhealth.va.gov/docs/ORH_RuralityFactSheet_508.pdf
  30. Rural-Urban Commuting Area Codes. Economic Research Service, US Dept of Agriculture. Updated September 25, 2023. Accessed September 23, 2024. https://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes.aspx
  31. Gurewich D, Beilstein-Wedel E, Shwartz M, Davila H, Rosen AK. Disparities in wait times for care among US veterans by race and ethnici t y. JAMA Netw Open. 2023;6(1):e2252061. doi:10.1001/jamanetworkopen.2022.52061
  32. U.S. Department of Veterans Affairs, VA Office of Rural Health, Veterans Rural Health Resource Center-Gainesville, GeoSpatial Outcomes Division. VA and Community Healthcare, and VHA Rurality web map application. Published 2023. https://portal.vhagis.inv.vaec.va.gov/arcgis/apps/webappbuilder/index.html [source not verified]
  33. Chartbook on Healthcare for Veterans: National Healthcare Quality and Disparities Report. Agency for Healthcare Research and Quality; November 2020. Accessed September 23, 2024. https://www.ahrq.gov/research/findings/nhqrdr/chartbooks/veterans/index.html
  34. Lum HD, Nearing K, Pimentel CB, Levy CR, Hung WW. Anywhere to anywhere: use of telehealth to increase health care access for older, rural veterans. Public Policy Aging Rep. 2020;30(1):12-18. doi:10.1093/ppar/prz030
  35. Goulet JL, Kerns RD, Bair M, et al. The musculoskeletal diagnosis cohort: examining pain and pain care among veterans. Pain. 2016;157(8):1696-1703. doi:10.1097/j.pain.0000000000000567
  36. US Inflation Calculator. Health Care Inflation in the United States (1948-2024). Accessed September 23, 2024. https://www.usinflationcalculator.com/inflation/health-care-inflation-in-the-united-states/
  37. Cottrell MA, Galea OA, O’Leary SP, Hill AJ, Russell TG. Real-time telerehabilitation for the treatment of musculoskeletal conditions is effective and comparable to standard practice: a systematic review and meta-analysis. Clin Rehabil. 2017;31(5):625-638. doi:10.1177/0269215516645148
  38. Elor A, Conde S, Powel l M, Robbins A, Chen NN, Kurniawan S. Physical therapist impressions of telehealth and virtual reality needs amidst a pandemic. Front Virtual Real. 2022;3. doi:10.3389/frvir.2022.915332
  39. Lee AC, Harada N. Telehealth as a means of health care delivery for physical therapist practice. Phys Ther. 2012;92(3):463-468. doi:10.2522/ptj.20110100
  40. Hynes DM, Edwards S, Hickok A, et al. Veterans’ use of Veterans Health Administration primary care in an era of expanding choice. Med Care. 2021;59(Suppl 3):S292- S300. doi:10.1097/MLR.0000000000001554
References
  1. Congressional Budget Office. The Veterans Community Care Program: Background and Early Effects. October 26, 2021. Accessed September 23, 2024. https://www.cbo.gov/publication/57257
  2. US Dept of Veterans Affairs. Providing Health Care for Veterans. Updated September 10, 2024. Accessed September 23, 2024. https://www.va.gov/health/
  3. Davila H, Rosen AK, Beilstein-Wedel E, Shwartz M, Chatelain LJ, Gurewich D. Rural veterans’ experiences with outpatient care in the Veterans Health Administration versus community care. Med Care. 2021;59(Suppl 3):S286-S291. doi:10.1097/MLR.0000000000001552
  4. Vanneman ME, Wagner TH, Shwartz M, et al. Veterans’ experiences with outpatient care: comparing the Veterans Affairs system with community-based care. Health Aff (Millwood). 2020;39(8):1368-1376. doi:10.1377/hlthaff.2019.01375
  5. Rasmussen P, Farmer CM. The promise and challenges of VA community care: veterans’ issues in focus. Rand Health Q. 2023;10(3):9.
  6. Feyman Y, Legler A, Griffith KN. Appointment wait time data for primary & specialty care in veterans health administration facilities vs. community medical centers. Data Brief. 2021;36:107134. doi:10.1016/j.dib.2021.107134
  7. Kelley AT, Greenstone CL, Kirsh SR. Defining access and the role of community care in the Veterans Health Administration. J Gen Intern Med. 2020;35(5):1584-1585. doi:10.1007/s11606-019-05358-z
  8. Garvin LA, Pugatch M, Gurewich D, Pendergast JN, Miller CJ. Interorganizational care coordination of rural veterans by Veterans Affairs and community care programs: a systematic review. Med Care. 2021;59(Suppl 3):S259-S269. doi:10.1097/MLR.0000000000001542
  9. US Dept of Veterans Affairs, Office of Rural Health. Rural Veterans: Rural Veteran Health Care Challenges. Updated May 14, 2024. Accessed September 23, 2024. https:// www.ruralhealth.va.gov/aboutus/ruralvets.asp
  10. Ohl ME, Carrell M, Thurman A, et al. “Availability of healthcare providers for rural veterans eligible for purchased care under the veterans choice act.” BMC Health Serv Res. 2018;18(1):315. doi:10.1186/s12913-018-3108-8
  11. Mattocks KM, Cunningham KJ, Greenstone C, Atkins D, Rosen AK, Upton M. Innovations in community care programs, policies, and research. Med Care. 2021;59(Suppl 3):S229-S231. doi:10.1097/MLR.0000000000001550
  12. Doyle JM, Streeter RA. Veterans’ location in health professional shortage areas: implications for access to care and workforce supply. Health Serv Res. 2017;52 Suppl 1(Suppl 1):459-480. doi:10.1111/1475-6773.12633
  13. Patzel M, Barnes C, Ramalingam N, et al. Jumping through hoops: community care clinician and staff experiences providing primary care to rural veterans. J Gen Intern Med. 2023;38(Suppl 3):821-828. doi:10.1007/s11606-023-08126-2
  14. Mattocks KM, Kroll-Desrosiers A, Kinney R, Elwy AR, Cunningham KJ, Mengeling MA. Understanding VA’s use of and relationships with community care providers under the MISSION Act. Med Care. 2021;59(Suppl 3):S252-S258. doi:10.1097/MLR.0000000000001545
  15. Olenick M, Flowers M, Diaz VJ. US veterans and their unique issues: enhancing health care professional awareness. Adv Med Educ Pract. 2015;6:635-639. doi:10.2147/AMEP.S89479
  16. Campbell P, Pope R, Simas V, Canetti E, Schram B, Orr R. The effects of early physiotherapy treatment on musculoskeletal injury outcomes in military personnel: a narrative review. Int J Environ Res Public Health. 2022;19(20):13416. doi:10.3390/ijerph192013416
  17. Gurewich D, Shwartz M, Beilstein-Wedel E, Davila H, Rosen AK. Did access to care improve since passage of the veterans choice act? Differences between rural and urban veterans. Med Care. 2021;59(Suppl 3):S270-S278. doi:10.1097/MLR.0000000000001490
  18. Myers US, Birks A, Grubaugh AL, Axon RN. Flattening the curve by getting ahead of it: how the VA healthcare system is leveraging telehealth to provide continued access to care for rural veterans. J Rural Health. 2021;37(1):194-196. doi:10.1111/jrh.12449
  19. Hale-Gallardo JL, Kreider CM, Jia H, et al. Telerehabilitation for rural veterans: a qualitative assessment of barriers and facilitators to implementation. J Multidiscip Healthc. 2020;13:559-570. doi:10.2147/JMDH.S247267
  20. Kreider CM, Hale-Gallardo J, Kramer JC, et al. Providers’ shift to telerehabilitation at the U.S. Veterans Health Administration during COVID-19: practical applications. Front Public Health. 2022;10:831762. doi:10.3389/fpubh.2022.831762
  21. Cowper-Ripley DC, Jia H, Wang X, et al. Trends in VA telerehabilitation patients and encounters over time and by rurality. Fed Pract. 2019;36(3):122-128.
  22. US Dept of Veterans Affairs, Office of Rural Health. VHA Office of Rural Health. Updated August 30, 2024. Accessed September 23, 2024. https://www.ruralhealth.va.gov/index.asp
  23. National Center for Veterans Analysis and Statistics. Rural Veterans: 2021-2023. April 2023. Accessed September 23, 2024. https://www.datahub.va.gov/stories/s/Rural-Veterans-FY2021-2023/kkh2-eymp/
  24. U.S. Department of Veterans Affairs, Office of Research & Development. Program Guide: 1200.21, VHA Operations Activities That May Constitute Research. January 9, 2019. https://www.research.va.gov/resources/policies/ProgramGuide-1200-21-VHA-Operations-Activities.pdf
  25. Ogrinc G, Davies L, Goodman D, Batalden P, Davidoff F, Stevens D. SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process. J Nurs Care Qual. 2016;31(1):1-8. doi:10.1097/NCQ.0000000000000153
  26. US Dept of Veterans Affairs. Veterans Health Administration: Veterans Integrated Service Networks (VISNs). Updated January 29, 2024. Accessed September 23, 2024. https://www.va.gov/HEALTH/visns.asp
  27. Stomberg C, Frost A, Becker C, Stang H, Windschitl M, Carrier E. Community Care referral dashboard [Data dashboard]. https://app.powerbigov.us/groups/me/reports/090d22a7-0e1f-4cc5-bea8-0a1b87aa0bd9/ReportSectionacfd03cdebd76ffca9ec [Source not verified]
  28. US Dept of Veterans Affairs. Eligibility for community care outside VA. Updated May 30, 2024. Accessed September 23, 2024. https://www.va.gov/COMMUNITYCARE/programs/veterans/General_Care.asp
  29. US Department of Veterans Affairs, Office of Rural Health. How to define rurality fact sheet. Updated December 2023. Accessed January 28, 2025. https://www.ruralhealth.va.gov/docs/ORH_RuralityFactSheet_508.pdf
  30. Rural-Urban Commuting Area Codes. Economic Research Service, US Dept of Agriculture. Updated September 25, 2023. Accessed September 23, 2024. https://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes.aspx
  31. Gurewich D, Beilstein-Wedel E, Shwartz M, Davila H, Rosen AK. Disparities in wait times for care among US veterans by race and ethnici t y. JAMA Netw Open. 2023;6(1):e2252061. doi:10.1001/jamanetworkopen.2022.52061
  32. U.S. Department of Veterans Affairs, VA Office of Rural Health, Veterans Rural Health Resource Center-Gainesville, GeoSpatial Outcomes Division. VA and Community Healthcare, and VHA Rurality web map application. Published 2023. https://portal.vhagis.inv.vaec.va.gov/arcgis/apps/webappbuilder/index.html [source not verified]
  33. Chartbook on Healthcare for Veterans: National Healthcare Quality and Disparities Report. Agency for Healthcare Research and Quality; November 2020. Accessed September 23, 2024. https://www.ahrq.gov/research/findings/nhqrdr/chartbooks/veterans/index.html
  34. Lum HD, Nearing K, Pimentel CB, Levy CR, Hung WW. Anywhere to anywhere: use of telehealth to increase health care access for older, rural veterans. Public Policy Aging Rep. 2020;30(1):12-18. doi:10.1093/ppar/prz030
  35. Goulet JL, Kerns RD, Bair M, et al. The musculoskeletal diagnosis cohort: examining pain and pain care among veterans. Pain. 2016;157(8):1696-1703. doi:10.1097/j.pain.0000000000000567
  36. US Inflation Calculator. Health Care Inflation in the United States (1948-2024). Accessed September 23, 2024. https://www.usinflationcalculator.com/inflation/health-care-inflation-in-the-united-states/
  37. Cottrell MA, Galea OA, O’Leary SP, Hill AJ, Russell TG. Real-time telerehabilitation for the treatment of musculoskeletal conditions is effective and comparable to standard practice: a systematic review and meta-analysis. Clin Rehabil. 2017;31(5):625-638. doi:10.1177/0269215516645148
  38. Elor A, Conde S, Powel l M, Robbins A, Chen NN, Kurniawan S. Physical therapist impressions of telehealth and virtual reality needs amidst a pandemic. Front Virtual Real. 2022;3. doi:10.3389/frvir.2022.915332
  39. Lee AC, Harada N. Telehealth as a means of health care delivery for physical therapist practice. Phys Ther. 2012;92(3):463-468. doi:10.2522/ptj.20110100
  40. Hynes DM, Edwards S, Hickok A, et al. Veterans’ use of Veterans Health Administration primary care in an era of expanding choice. Med Care. 2021;59(Suppl 3):S292- S300. doi:10.1097/MLR.0000000000001554
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Navigating Esophageal Dysfunction in Immune and Infectious Disorders: AGA Clinical Practice Update

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The American Gastroenterological Association (AGA) has released an expert review and clinical practice update focusing on esophageal dysfunction caused by immune-mediated and infectious diseases.

“Many different disorders can lead to esophageal dysfunction, which is characterized by symptoms including dysphagia, odynophagia, chest pain and heartburn. These symptoms can be caused either by immune or infectious conditions and can either be localized to the esophagus or part of a larger systemic process,” co–first author Emily McGowan, MD, PhD, with the division of allergy and immunology, University of Virginia School of Medicine, Charlottesville, said in an AGA podcast. 

However, without a “high index of suspicion,” these conditions can be overlooked, leading to delays in diagnosis and unnecessary procedures. “With this clinical practice update, we wanted to help providers more readily recognize these conditions so that patients can be diagnosed and treated earlier in the course of their disease,” McGowan explained. 

 

Dr. Scott Gabbard

“This is a fantastic review that highlights how many different systemic disorders can affect the esophagus,” Scott Gabbard, MD, gastroenterologist and section head at the Center for Neurogastroenterology and Motility, Cleveland Clinic, Ohio, who wasn’t involved in the review, said in an interview.

“Honestly, for the practicing gastroenterologist, this is one of those reviews that I could envision someone either saving to his or her desktop for reference or printing it and pinning it next to his or her desk,” Gabbard said.

 

Best Practice Advice

The clinical practice update is published in Clinical Gastroenterology and Hepatology. It includes 10 “best practice advice” statements and a table highlighting “important” considerations when evaluating patients with esophageal dysfunction.

The review authors note that esophageal dysfunction may result from localized infections — most commonly Candida, herpes simplex virus, and cytomegalovirus — or systemic immune-mediated diseases, such as systemic sclerosis (SSc), mixed connective tissue disease (MCTD), and eosinophilic esophagitis (EoE).

They advise clinicians to identify if there are risks for inflammatory or infectious possibilities for a patient’s esophageal symptoms and investigate for these disorders as a potential cause of esophageal dysfunction.

Once esophageal infection is identified, it’s important to identify whether accompanying signs and symptoms point to immunocompromise leading to a more systemic infection. Consultation with an infectious disease expert is recommended to guide appropriate treatment, the authors said.

If symptoms fail to improve after therapy for infectious esophagitis, the patient should be evaluated for refractory infection or additional underlying sources of esophageal and immunologic dysfunction is advised.

It’s also important to recognize that patients with EoE who continue to have symptoms of esophageal dysfunction despite histologic and endoscopic disease remission, may develop a motility disorder and evaluation of esophageal motility may be warranted, the authors said. 

In patients with histologic and endoscopic features of lymphocytic esophagitis, treatment of lymphocytic-related inflammation with proton-pump inhibitor (PPI) therapy or swallowed topical corticosteroids and esophageal dilation as needed should be considered.

In patients who present with esophageal symptoms in the setting of hypereosinophilia (absolute eosinophil count > 1500 cells/uL), the authors advise further workup of non-EoE eosinophilic gastrointestinal disease, hypereosinophilic syndrome, and eosinophilic granulomatosis with polyangiitis should be considered, with consultation with an allergy/immunology specialist if helpful.

In patients with rheumatologic diseases, especially SSc and MCTD, it’s important to be aware that esophageal symptoms can occur because of involvement of the esophageal muscle layer, resulting in dysmotility and/or incompetence of the lower esophageal sphincter, they said.

In the setting of Crohn’s disease, some patients can develop esophageal involvement from inflammation, stricturing, or fistulizing changes with granulomas seen histologically. Esophageal manifestations of Crohn’s disease tend to occur in patients with active intestinal disease.

In patients with dermatologic diseases of lichen planus or bullous disorders, dysphagia can occur because of endoscopically visible esophageal mucosal involvement. Esophageal lichen planus, in particular, can occur without skin involvement and can be difficult to define on esophageal histopathology.

The authors also advise clinicians to consider infectious and inflammatory causes of secondary achalasia during initial evaluation.

“Achalasia and EoE might coexist more commonly than what gastroenterologists think, especially in younger patients,” co–first author Chanakyaram Reddy, MD, a gastroenterologist with Baylor University Medical Center, Dallas, Texas, said in the AGA podcast. 

He noted that in a recent population-based study, the estimated relative risk of EoE was over 30-fold higher in patients with achalasia aged ≤ 40 years. 

“In any suspected achalasia case, it would be wise to obtain biopsies throughout the entire esophagus when the patient is off confounding medications such as PPI therapy to establish if significant esophageal eosinophilia is coexistent,” Reddy said.

“If EoE-level eosinophilia is found, it would be reasonable to consider treating medically for EoE prior to committing to achalasia-specific interventions, which often involve permanent disruption of the esophageal muscle layer,” he added.

Gabbard said this review helps the clinician think beyond gastroesophageal reflux disease (GERD) — the most common cause of esophageal dysfunction — and consider other causes for esophageal dysfunction. 

“We are seeing more complex disorders affect the esophagus. It’s not just GERD and you absolutely need a high index of suspicion because you can find varying disorders to blame for many esophageal symptoms that could otherwise be thought to be just reflux,” he said.

This research had no commercial funding. Disclosures for the authors are listed with the original article. Gabbard had no relevant disclosures.

A version of this article appeared on Medscape.com.

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The American Gastroenterological Association (AGA) has released an expert review and clinical practice update focusing on esophageal dysfunction caused by immune-mediated and infectious diseases.

“Many different disorders can lead to esophageal dysfunction, which is characterized by symptoms including dysphagia, odynophagia, chest pain and heartburn. These symptoms can be caused either by immune or infectious conditions and can either be localized to the esophagus or part of a larger systemic process,” co–first author Emily McGowan, MD, PhD, with the division of allergy and immunology, University of Virginia School of Medicine, Charlottesville, said in an AGA podcast. 

However, without a “high index of suspicion,” these conditions can be overlooked, leading to delays in diagnosis and unnecessary procedures. “With this clinical practice update, we wanted to help providers more readily recognize these conditions so that patients can be diagnosed and treated earlier in the course of their disease,” McGowan explained. 

 

Dr. Scott Gabbard

“This is a fantastic review that highlights how many different systemic disorders can affect the esophagus,” Scott Gabbard, MD, gastroenterologist and section head at the Center for Neurogastroenterology and Motility, Cleveland Clinic, Ohio, who wasn’t involved in the review, said in an interview.

“Honestly, for the practicing gastroenterologist, this is one of those reviews that I could envision someone either saving to his or her desktop for reference or printing it and pinning it next to his or her desk,” Gabbard said.

 

Best Practice Advice

The clinical practice update is published in Clinical Gastroenterology and Hepatology. It includes 10 “best practice advice” statements and a table highlighting “important” considerations when evaluating patients with esophageal dysfunction.

The review authors note that esophageal dysfunction may result from localized infections — most commonly Candida, herpes simplex virus, and cytomegalovirus — or systemic immune-mediated diseases, such as systemic sclerosis (SSc), mixed connective tissue disease (MCTD), and eosinophilic esophagitis (EoE).

They advise clinicians to identify if there are risks for inflammatory or infectious possibilities for a patient’s esophageal symptoms and investigate for these disorders as a potential cause of esophageal dysfunction.

Once esophageal infection is identified, it’s important to identify whether accompanying signs and symptoms point to immunocompromise leading to a more systemic infection. Consultation with an infectious disease expert is recommended to guide appropriate treatment, the authors said.

If symptoms fail to improve after therapy for infectious esophagitis, the patient should be evaluated for refractory infection or additional underlying sources of esophageal and immunologic dysfunction is advised.

It’s also important to recognize that patients with EoE who continue to have symptoms of esophageal dysfunction despite histologic and endoscopic disease remission, may develop a motility disorder and evaluation of esophageal motility may be warranted, the authors said. 

In patients with histologic and endoscopic features of lymphocytic esophagitis, treatment of lymphocytic-related inflammation with proton-pump inhibitor (PPI) therapy or swallowed topical corticosteroids and esophageal dilation as needed should be considered.

In patients who present with esophageal symptoms in the setting of hypereosinophilia (absolute eosinophil count > 1500 cells/uL), the authors advise further workup of non-EoE eosinophilic gastrointestinal disease, hypereosinophilic syndrome, and eosinophilic granulomatosis with polyangiitis should be considered, with consultation with an allergy/immunology specialist if helpful.

In patients with rheumatologic diseases, especially SSc and MCTD, it’s important to be aware that esophageal symptoms can occur because of involvement of the esophageal muscle layer, resulting in dysmotility and/or incompetence of the lower esophageal sphincter, they said.

In the setting of Crohn’s disease, some patients can develop esophageal involvement from inflammation, stricturing, or fistulizing changes with granulomas seen histologically. Esophageal manifestations of Crohn’s disease tend to occur in patients with active intestinal disease.

In patients with dermatologic diseases of lichen planus or bullous disorders, dysphagia can occur because of endoscopically visible esophageal mucosal involvement. Esophageal lichen planus, in particular, can occur without skin involvement and can be difficult to define on esophageal histopathology.

The authors also advise clinicians to consider infectious and inflammatory causes of secondary achalasia during initial evaluation.

“Achalasia and EoE might coexist more commonly than what gastroenterologists think, especially in younger patients,” co–first author Chanakyaram Reddy, MD, a gastroenterologist with Baylor University Medical Center, Dallas, Texas, said in the AGA podcast. 

He noted that in a recent population-based study, the estimated relative risk of EoE was over 30-fold higher in patients with achalasia aged ≤ 40 years. 

“In any suspected achalasia case, it would be wise to obtain biopsies throughout the entire esophagus when the patient is off confounding medications such as PPI therapy to establish if significant esophageal eosinophilia is coexistent,” Reddy said.

“If EoE-level eosinophilia is found, it would be reasonable to consider treating medically for EoE prior to committing to achalasia-specific interventions, which often involve permanent disruption of the esophageal muscle layer,” he added.

Gabbard said this review helps the clinician think beyond gastroesophageal reflux disease (GERD) — the most common cause of esophageal dysfunction — and consider other causes for esophageal dysfunction. 

“We are seeing more complex disorders affect the esophagus. It’s not just GERD and you absolutely need a high index of suspicion because you can find varying disorders to blame for many esophageal symptoms that could otherwise be thought to be just reflux,” he said.

This research had no commercial funding. Disclosures for the authors are listed with the original article. Gabbard had no relevant disclosures.

A version of this article appeared on Medscape.com.

The American Gastroenterological Association (AGA) has released an expert review and clinical practice update focusing on esophageal dysfunction caused by immune-mediated and infectious diseases.

“Many different disorders can lead to esophageal dysfunction, which is characterized by symptoms including dysphagia, odynophagia, chest pain and heartburn. These symptoms can be caused either by immune or infectious conditions and can either be localized to the esophagus or part of a larger systemic process,” co–first author Emily McGowan, MD, PhD, with the division of allergy and immunology, University of Virginia School of Medicine, Charlottesville, said in an AGA podcast. 

However, without a “high index of suspicion,” these conditions can be overlooked, leading to delays in diagnosis and unnecessary procedures. “With this clinical practice update, we wanted to help providers more readily recognize these conditions so that patients can be diagnosed and treated earlier in the course of their disease,” McGowan explained. 

 

Dr. Scott Gabbard

“This is a fantastic review that highlights how many different systemic disorders can affect the esophagus,” Scott Gabbard, MD, gastroenterologist and section head at the Center for Neurogastroenterology and Motility, Cleveland Clinic, Ohio, who wasn’t involved in the review, said in an interview.

“Honestly, for the practicing gastroenterologist, this is one of those reviews that I could envision someone either saving to his or her desktop for reference or printing it and pinning it next to his or her desk,” Gabbard said.

 

Best Practice Advice

The clinical practice update is published in Clinical Gastroenterology and Hepatology. It includes 10 “best practice advice” statements and a table highlighting “important” considerations when evaluating patients with esophageal dysfunction.

The review authors note that esophageal dysfunction may result from localized infections — most commonly Candida, herpes simplex virus, and cytomegalovirus — or systemic immune-mediated diseases, such as systemic sclerosis (SSc), mixed connective tissue disease (MCTD), and eosinophilic esophagitis (EoE).

They advise clinicians to identify if there are risks for inflammatory or infectious possibilities for a patient’s esophageal symptoms and investigate for these disorders as a potential cause of esophageal dysfunction.

Once esophageal infection is identified, it’s important to identify whether accompanying signs and symptoms point to immunocompromise leading to a more systemic infection. Consultation with an infectious disease expert is recommended to guide appropriate treatment, the authors said.

If symptoms fail to improve after therapy for infectious esophagitis, the patient should be evaluated for refractory infection or additional underlying sources of esophageal and immunologic dysfunction is advised.

It’s also important to recognize that patients with EoE who continue to have symptoms of esophageal dysfunction despite histologic and endoscopic disease remission, may develop a motility disorder and evaluation of esophageal motility may be warranted, the authors said. 

In patients with histologic and endoscopic features of lymphocytic esophagitis, treatment of lymphocytic-related inflammation with proton-pump inhibitor (PPI) therapy or swallowed topical corticosteroids and esophageal dilation as needed should be considered.

In patients who present with esophageal symptoms in the setting of hypereosinophilia (absolute eosinophil count > 1500 cells/uL), the authors advise further workup of non-EoE eosinophilic gastrointestinal disease, hypereosinophilic syndrome, and eosinophilic granulomatosis with polyangiitis should be considered, with consultation with an allergy/immunology specialist if helpful.

In patients with rheumatologic diseases, especially SSc and MCTD, it’s important to be aware that esophageal symptoms can occur because of involvement of the esophageal muscle layer, resulting in dysmotility and/or incompetence of the lower esophageal sphincter, they said.

In the setting of Crohn’s disease, some patients can develop esophageal involvement from inflammation, stricturing, or fistulizing changes with granulomas seen histologically. Esophageal manifestations of Crohn’s disease tend to occur in patients with active intestinal disease.

In patients with dermatologic diseases of lichen planus or bullous disorders, dysphagia can occur because of endoscopically visible esophageal mucosal involvement. Esophageal lichen planus, in particular, can occur without skin involvement and can be difficult to define on esophageal histopathology.

The authors also advise clinicians to consider infectious and inflammatory causes of secondary achalasia during initial evaluation.

“Achalasia and EoE might coexist more commonly than what gastroenterologists think, especially in younger patients,” co–first author Chanakyaram Reddy, MD, a gastroenterologist with Baylor University Medical Center, Dallas, Texas, said in the AGA podcast. 

He noted that in a recent population-based study, the estimated relative risk of EoE was over 30-fold higher in patients with achalasia aged ≤ 40 years. 

“In any suspected achalasia case, it would be wise to obtain biopsies throughout the entire esophagus when the patient is off confounding medications such as PPI therapy to establish if significant esophageal eosinophilia is coexistent,” Reddy said.

“If EoE-level eosinophilia is found, it would be reasonable to consider treating medically for EoE prior to committing to achalasia-specific interventions, which often involve permanent disruption of the esophageal muscle layer,” he added.

Gabbard said this review helps the clinician think beyond gastroesophageal reflux disease (GERD) — the most common cause of esophageal dysfunction — and consider other causes for esophageal dysfunction. 

“We are seeing more complex disorders affect the esophagus. It’s not just GERD and you absolutely need a high index of suspicion because you can find varying disorders to blame for many esophageal symptoms that could otherwise be thought to be just reflux,” he said.

This research had no commercial funding. Disclosures for the authors are listed with the original article. Gabbard had no relevant disclosures.

A version of this article appeared on Medscape.com.

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Best Practices When Using POEM to Treat Achalasia: AGA Clinical Update

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The American Gastroenterological Association (AGA) has released a clinical practice update synthesizing current available evidence and expert opinion on peroral endoscopic myotomy (POEM) to treat achalasia and other esophageal motility disorders.

“Any patient suspected to have achalasia, or difficulty swallowing for that matter, should undergo a comprehensive diagnostic workup, and that should include clinical history, review of medication, as well as tests. The diagnosis should not be based on isolated tests but on the clinical picture as a whole,” first author Dennis Yang, MD, AGAF, with the Center for Interventional Endoscopy, AdventHealth, Orlando, Florida, noted in an AGA podcast about the update.

 

Dr. Dennis Yang

The clinical practice update, published in Gastroenterology, includes 12 “best practice advice” statements.

Since its introduction to clinical practice more than a decade ago, POEM has matured and gained widespread acceptance because of its efficacy and safety profile.

POEM has at least similar outcomes to laparoscopic Heller myotomy and pneumatic dilation for type I and type II achalasia with better results for those with type III achalasia, Yang noted.

“However, besides disease phenotype, we need to remember that choosing the right treatment for the patient is going to be based on multiple factors including patient characteristics as well as local expertise,” Yang added.

In terms of technical considerations, the update states that both anterior and posterior tunnel approaches demonstrate comparable success and postprocedure reflux rates. Tunnel orientation should be tailored to the patient’s surgical history and endoscopist’s preference.

It further states that optimal length of the myotomy in the esophagus and cardia, as it pertains to treatment efficacy and risk for postprocedure reflux, remains to be determined.

Adjunct techniques, including real-time intraprocedure functional luminal impedance planimetry, may be considered to tailor or confirm the adequacy of the myotomy.

Same-day discharge after POEM can be considered in select patients who meet discharge criteria. Patients with advanced age, significant comorbidities, poor social support, and/or access to specialized care should be considered for hospital admission, irrespective of symptoms.

The update notes that specific guidelines on the role and extent of antibiotic prophylaxis before and after POEM are lacking. A single dose of antibiotics at the time of POEM “may be sufficient” for antibiotic prophylaxis.

In terms of immediate post-POEM care, the update notes that the clinical impact of routine esophagram or endoscopy immediately post-POEM remains unclear. Testing can be considered based on local practice preferences and in cases in which intraprocedural events or postprocedural findings warrant further evaluation.

Proton pump inhibitors are recommended immediately following POEM, as gastroesophageal reflux disease (GERD) is common following POEM, occurring in up to 65% of cases.

Routine endoscopic surveillance is advised to monitor GERD, disease progression, and esophageal cancer risk, which is significantly higher in achalasia patients.

“Just like diabetes and hypertension, we need to remember that achalasia is a chronic disease and long-term postprocedural surveillance is strongly encouraged to monitor disease progression as well as potential complications of reflux,” Yang said.

He noted that surveillance should be considered irrespective of patient symptoms because many of these patients may remain asymptomatic.

“Primary gastroenterologists should have a very low threshold in referring the patient back to the POEM endoscopist or any specialized esophageal center because the ideology of symptoms in these patients can be quite difficult to tease out and often require comprehensive diagnostic workup,” Yang said.

Evidence for POEM in esophagogastric outflow obstruction and other nonachalasia spastic motility disorders is limited and should only be considered on a case-by-case basis after other less invasive approaches have been exhausted, the update states.

 

Dr. Mouen A. Khashab

For perspective on the POEM clinical practice update, this news organization spoke with Mouen Khashab, MD, director of therapeutic endoscopy, Johns Hopkins University, Baltimore, Maryland.

“The document is very well written and comprehensive,” Khashab said.

However, Khashab said he would have liked to see greater emphasis on the value or role of a short myotomy in the esophagus and cardia.

“There is level I evidence that the short esophageal myotomy is equivalent to a long esophageal myotomy for type I and II achalasia. When you do a short myotomy, you save procedure time and there is potentially a lower incidence of blown-out myotomy or BOM,” Khashab said.

Khashab also noted that a long myotomy on the gastric side “likely increases the risk of reflux disease, and therefore a limited myotomy on the gastric side likely also is advantageous.”

This research had no commercial funding. Yang serves as a consultant for Boston Scientific, Olympus, FujiFilm, Microtech, Medtronic, 3D-Matrix, and Neptune Medical, and has received research support from Microtech and 3D-Matrix. Khashab had no relevant disclosures.

A version of this article appeared on Medscape.com . 

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The American Gastroenterological Association (AGA) has released a clinical practice update synthesizing current available evidence and expert opinion on peroral endoscopic myotomy (POEM) to treat achalasia and other esophageal motility disorders.

“Any patient suspected to have achalasia, or difficulty swallowing for that matter, should undergo a comprehensive diagnostic workup, and that should include clinical history, review of medication, as well as tests. The diagnosis should not be based on isolated tests but on the clinical picture as a whole,” first author Dennis Yang, MD, AGAF, with the Center for Interventional Endoscopy, AdventHealth, Orlando, Florida, noted in an AGA podcast about the update.

 

Dr. Dennis Yang

The clinical practice update, published in Gastroenterology, includes 12 “best practice advice” statements.

Since its introduction to clinical practice more than a decade ago, POEM has matured and gained widespread acceptance because of its efficacy and safety profile.

POEM has at least similar outcomes to laparoscopic Heller myotomy and pneumatic dilation for type I and type II achalasia with better results for those with type III achalasia, Yang noted.

“However, besides disease phenotype, we need to remember that choosing the right treatment for the patient is going to be based on multiple factors including patient characteristics as well as local expertise,” Yang added.

In terms of technical considerations, the update states that both anterior and posterior tunnel approaches demonstrate comparable success and postprocedure reflux rates. Tunnel orientation should be tailored to the patient’s surgical history and endoscopist’s preference.

It further states that optimal length of the myotomy in the esophagus and cardia, as it pertains to treatment efficacy and risk for postprocedure reflux, remains to be determined.

Adjunct techniques, including real-time intraprocedure functional luminal impedance planimetry, may be considered to tailor or confirm the adequacy of the myotomy.

Same-day discharge after POEM can be considered in select patients who meet discharge criteria. Patients with advanced age, significant comorbidities, poor social support, and/or access to specialized care should be considered for hospital admission, irrespective of symptoms.

The update notes that specific guidelines on the role and extent of antibiotic prophylaxis before and after POEM are lacking. A single dose of antibiotics at the time of POEM “may be sufficient” for antibiotic prophylaxis.

In terms of immediate post-POEM care, the update notes that the clinical impact of routine esophagram or endoscopy immediately post-POEM remains unclear. Testing can be considered based on local practice preferences and in cases in which intraprocedural events or postprocedural findings warrant further evaluation.

Proton pump inhibitors are recommended immediately following POEM, as gastroesophageal reflux disease (GERD) is common following POEM, occurring in up to 65% of cases.

Routine endoscopic surveillance is advised to monitor GERD, disease progression, and esophageal cancer risk, which is significantly higher in achalasia patients.

“Just like diabetes and hypertension, we need to remember that achalasia is a chronic disease and long-term postprocedural surveillance is strongly encouraged to monitor disease progression as well as potential complications of reflux,” Yang said.

He noted that surveillance should be considered irrespective of patient symptoms because many of these patients may remain asymptomatic.

“Primary gastroenterologists should have a very low threshold in referring the patient back to the POEM endoscopist or any specialized esophageal center because the ideology of symptoms in these patients can be quite difficult to tease out and often require comprehensive diagnostic workup,” Yang said.

Evidence for POEM in esophagogastric outflow obstruction and other nonachalasia spastic motility disorders is limited and should only be considered on a case-by-case basis after other less invasive approaches have been exhausted, the update states.

 

Dr. Mouen A. Khashab

For perspective on the POEM clinical practice update, this news organization spoke with Mouen Khashab, MD, director of therapeutic endoscopy, Johns Hopkins University, Baltimore, Maryland.

“The document is very well written and comprehensive,” Khashab said.

However, Khashab said he would have liked to see greater emphasis on the value or role of a short myotomy in the esophagus and cardia.

“There is level I evidence that the short esophageal myotomy is equivalent to a long esophageal myotomy for type I and II achalasia. When you do a short myotomy, you save procedure time and there is potentially a lower incidence of blown-out myotomy or BOM,” Khashab said.

Khashab also noted that a long myotomy on the gastric side “likely increases the risk of reflux disease, and therefore a limited myotomy on the gastric side likely also is advantageous.”

This research had no commercial funding. Yang serves as a consultant for Boston Scientific, Olympus, FujiFilm, Microtech, Medtronic, 3D-Matrix, and Neptune Medical, and has received research support from Microtech and 3D-Matrix. Khashab had no relevant disclosures.

A version of this article appeared on Medscape.com . 

The American Gastroenterological Association (AGA) has released a clinical practice update synthesizing current available evidence and expert opinion on peroral endoscopic myotomy (POEM) to treat achalasia and other esophageal motility disorders.

“Any patient suspected to have achalasia, or difficulty swallowing for that matter, should undergo a comprehensive diagnostic workup, and that should include clinical history, review of medication, as well as tests. The diagnosis should not be based on isolated tests but on the clinical picture as a whole,” first author Dennis Yang, MD, AGAF, with the Center for Interventional Endoscopy, AdventHealth, Orlando, Florida, noted in an AGA podcast about the update.

 

Dr. Dennis Yang

The clinical practice update, published in Gastroenterology, includes 12 “best practice advice” statements.

Since its introduction to clinical practice more than a decade ago, POEM has matured and gained widespread acceptance because of its efficacy and safety profile.

POEM has at least similar outcomes to laparoscopic Heller myotomy and pneumatic dilation for type I and type II achalasia with better results for those with type III achalasia, Yang noted.

“However, besides disease phenotype, we need to remember that choosing the right treatment for the patient is going to be based on multiple factors including patient characteristics as well as local expertise,” Yang added.

In terms of technical considerations, the update states that both anterior and posterior tunnel approaches demonstrate comparable success and postprocedure reflux rates. Tunnel orientation should be tailored to the patient’s surgical history and endoscopist’s preference.

It further states that optimal length of the myotomy in the esophagus and cardia, as it pertains to treatment efficacy and risk for postprocedure reflux, remains to be determined.

Adjunct techniques, including real-time intraprocedure functional luminal impedance planimetry, may be considered to tailor or confirm the adequacy of the myotomy.

Same-day discharge after POEM can be considered in select patients who meet discharge criteria. Patients with advanced age, significant comorbidities, poor social support, and/or access to specialized care should be considered for hospital admission, irrespective of symptoms.

The update notes that specific guidelines on the role and extent of antibiotic prophylaxis before and after POEM are lacking. A single dose of antibiotics at the time of POEM “may be sufficient” for antibiotic prophylaxis.

In terms of immediate post-POEM care, the update notes that the clinical impact of routine esophagram or endoscopy immediately post-POEM remains unclear. Testing can be considered based on local practice preferences and in cases in which intraprocedural events or postprocedural findings warrant further evaluation.

Proton pump inhibitors are recommended immediately following POEM, as gastroesophageal reflux disease (GERD) is common following POEM, occurring in up to 65% of cases.

Routine endoscopic surveillance is advised to monitor GERD, disease progression, and esophageal cancer risk, which is significantly higher in achalasia patients.

“Just like diabetes and hypertension, we need to remember that achalasia is a chronic disease and long-term postprocedural surveillance is strongly encouraged to monitor disease progression as well as potential complications of reflux,” Yang said.

He noted that surveillance should be considered irrespective of patient symptoms because many of these patients may remain asymptomatic.

“Primary gastroenterologists should have a very low threshold in referring the patient back to the POEM endoscopist or any specialized esophageal center because the ideology of symptoms in these patients can be quite difficult to tease out and often require comprehensive diagnostic workup,” Yang said.

Evidence for POEM in esophagogastric outflow obstruction and other nonachalasia spastic motility disorders is limited and should only be considered on a case-by-case basis after other less invasive approaches have been exhausted, the update states.

 

Dr. Mouen A. Khashab

For perspective on the POEM clinical practice update, this news organization spoke with Mouen Khashab, MD, director of therapeutic endoscopy, Johns Hopkins University, Baltimore, Maryland.

“The document is very well written and comprehensive,” Khashab said.

However, Khashab said he would have liked to see greater emphasis on the value or role of a short myotomy in the esophagus and cardia.

“There is level I evidence that the short esophageal myotomy is equivalent to a long esophageal myotomy for type I and II achalasia. When you do a short myotomy, you save procedure time and there is potentially a lower incidence of blown-out myotomy or BOM,” Khashab said.

Khashab also noted that a long myotomy on the gastric side “likely increases the risk of reflux disease, and therefore a limited myotomy on the gastric side likely also is advantageous.”

This research had no commercial funding. Yang serves as a consultant for Boston Scientific, Olympus, FujiFilm, Microtech, Medtronic, 3D-Matrix, and Neptune Medical, and has received research support from Microtech and 3D-Matrix. Khashab had no relevant disclosures.

A version of this article appeared on Medscape.com . 

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Improving Care for Sexual and Gender Minority Patients with Disorders of Gut-Brain Interaction

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Brief Introduction to the SGM Communities

The sexual and gender minority (SGM) communities (see Table 1), also termed “LGBTQIA+ community” (lesbian, gay, bisexual, transgender, queer, intersex, asexual, plus — including two spirit) are historically minoritized with unique risks for inequities in gastrointestinal health outcomes.1 These potential disparities remain largely uninvestigated because of continued systemic discrimination and inadequate collection of sexual orientation and gender identity (SOGI) data,2 with the National Institutes of Health Sexual & Gender Minority Research Office (SGMRO) having been instructed to address these failures. There is increased SGM self-identification (7.1% of all people in the United States and 20.8% of generation Z).3 Given the high worldwide prevalence of disorders of gut-brain interaction (DGBIs)and the influence of biopsychosocial determinants of health in DGBI incidence,4 it becomes increasingly likely that research in DGBI-related factors in SGM people will be fruitful.

Disorders of Gut-Brain Interaction and the Potential Minority Stress Link in SGM People

DGBIs are gastrointestinal conditions that occur because of brain-gut axis dysregulation. There is evidence that chronic stress and trauma negatively influence brain-gut interaction, which likely results in minority communities who face increased levels of trauma, stress, discrimination, and social injustice being at higher risk of DGBI development.5-7 Given increased rates of trauma in the SGM community, practicing trauma-informed care is essential to increase patient comfort and decrease the chance of retraumatization in medical settings.8 Trauma-informed care focuses on how trauma influences a patient’s life and response to medical care. To practice trauma-informed care, screening for trauma when appropriate, actively creating a supportive environment with active listening and communication, with informing the patient of planned actions prior to doing them, like physical exams, is key.

Trauma-Informed Care: Examples of Verbiage

Asking about Identity

  • Begin by introducing yourself with your pronouns to create a safe environment for patient disclosure. Example: “Hello, I am Dr. Kara Jencks, and my pronouns are she/her. I am one of the gastroenterologists here at XYZ Clinic. How would you prefer to be addressed?”
  • You can also wear a pronoun lapel pin or a pronoun button on your ID badge to indicate you are someone who your patient can be themselves around.
  • The easiest way to obtain sexual orientation and gender identity is through intake forms. Below are examples of how to ask these questions on intake forms. It is important to offer the option to select more than one option when applicable and to opt out of answering if the patient is not comfortable answering these questions.

Sample Questions for Intake Forms

1. What is your sex assigned at birth? (Select one)

  • Female
  • Male
  • Intersex
  • Do not know
  • Prefer not to disclose

2. What is your gender identity? (Select all that apply)

  • Nonbinary
  • Gender queer
  • Woman
  • Man
  • Transwoman
  • Transman
  • Gender fluid
  • Two-spirit
  • Agender
  • Intersex
  • Other: type in response
  • Prefer not to disclose

3. What are your pronouns? (Select all that apply)

  • They/them/theirs
  • She/her/hers
  • He/him/his
  • Zie/zir/zirs
  • Other: type in response
  • Prefer not to disclose

4. What is your sexual orientation? (Select all that apply)

  • Bisexual
  • Pansexual
  • Queer
  • Lesbian
  • Gay
  • Asexual
  • Demisexual
  • Heterosexual or straight
  • Other: type in response
  • Prefer not to disclose

Screening for Trauma

Dr. Christopher Vélez

While there are questionnaires that exist to ask about trauma history, if time allows, it can be helpful to screen verbally with the patient. See reference number 8, for additional prompts and actions to practice trauma-informed care.

  • Example: “Many patients with gastrointestinal symptoms and disorders have experienced trauma in the past. We do our best to ensure we are keeping you as comfortable as possible while caring for you. Are you comfortable sharing this information? [if yes->] Do you have a history of trauma, including physical, emotional, or sexual abuse? ... Have these experiences impacted the way in which you navigate your healthcare? ... Is there anything we can do to make you more comfortable today?”

General Physical Examination

Provide details for what you are going to do before you do it. Ask for permission for the examination. Here are two examples:

  • “I would like to perform a physical exam to help better understand your symptoms. Is that okay with you?”
  • “I would like to examine your abdomen with my stethoscope and my hands. Here is a sheet that we can use to help with your privacy. Please let me know if and when you feel any tenderness or pain.”

Rectal Physical Examination

Let the patient know why it would be helpful to perform a rectal exam, what the rectal exam will entail, and the benefits and risks to doing a rectal exam. An example follows:

  • “Based on the symptoms you are describing, I think it would be helpful to perform a rectal exam to make sure you don’t have any fissures or hemorrhoids on the outside around the anus, any blockages or major issues inside the rectum, and to assess the strength and ability of your nerves and muscles or the pelvic floor to coordinate bowel movements. There are no risks aside from discomfort. If it is painful, and you would like me to stop, you tell me to stop, and I will stop right away. What questions do you have? Are we okay to proceed with the rectal exam?”
  • “Please pull down your undergarments and your pants to either midthigh, your ankles, or all the way off, whatever your preference is, lie down on the left side on the exam table, and cover yourself with this sheet. In the meantime, I will be getting a chaperone to keep us safe and serve as a patient advocate during the procedure.”
  • Upon returning to the exam room: “Here is Sara, who will be chaperoning today. Let myself or Sara know if you are uncomfortable or having pain during this exam. I will be lifting up the sheet to get a good look around the anus. [lifts up sheet] You will feel my hand helping to spread apart the buttocks. I am looking around the anus, and I do not see any fissures, hemorrhoids, or anything else concerning. Please squeeze in like you are trying to hold in gas. Please bear down like you are trying to have a bowel movement or let out gas. Okay, now you may feel some cold gel around the anus, and you will feel my finger go inside. Take a deep breath in. Do you feel any pain as I palpate? Please squeeze in like you are trying to hold in gas. Please bear down like you are trying to have a bowel movement or let out gas. I will be stopping the exam now.”
  • You would then wash your hands and allow the patient to get dressed, and then disclose the exam findings and the rest of your visit.

Ilan H. Meyer coined the minority stress model when discussing mental health disorders in SGM patients in the early 2000s.9 With it being well known that DGBIs can overlap with (but are not necessarily caused by) mental health disorders, this model can easily apply to unify multiple individual and societal factors that can combine to result in disorders of brain-gut interaction (see Figure 1) in SGM communities. Let us keep this framework in mind when evaluating the following cases. 

 

Case Presentations

Case 1

A 56-year-old man (pronouns: he/him) assigned male sex at birth, who identifies as gay, presents to your gastroenterology clinic for treatment-refractory constipation-predominant irritable bowel syndrome. It has impacted his sexual function. Outside hospital records report a normal colonoscopy 1 year ago and an unremarkable abdominal computerized tomography 4 months ago, aside from increased stool burden in the entire colon. He has tried to use enemas prior to sex, though these do not always help. Fiber-rich diet and fermentable food avoidance has not been successful. He is currently taking two capfuls of polyethylene glycol 3350 twice per day, as well as senna at night and continues to have a bowel movement every 2-3 days that is Bristol stool form scale type 1-2 unless he uses enemas. How do you counsel this patient about his IBS-C and rectal discomfort?

After assessing for sexual violence or other potential trauma-related factors, your digital rectal examination suggests that an anorectal defecatory disorder is less likely with normal relaxation and perineal movement. You recommend linaclotide. He notices improvement within 1 week, with improved comfort during anoreceptive sex. 

 

Case 2

A 30-year-old woman (pronouns: she/her) assigned male sex at birth who has sex with men underwent vaginoplasty 2 years ago and is referred to the gastroenterology clinic for fecal incontinence and diarrhea. On review of her anatomic inventory, her vaginoplasty was a penile inversion vaginoplasty (no intestinal tissue was used for creation), and her prostate was left intact. The vaginal vault was created in between the urethra and rectum, similar to the pelvic floor anatomy of a woman assigned female sex at birth. Blood, imaging, and endoscopic workup has been negative. She is also not taking any medications associated with diarrhea, only taking estrogen and spironolactone. The diarrhea is not daily, but when present, about once per week, can be up to 10 episodes per day, and she has a sense of incomplete evacuation regularly. She notes having a rectal exam in the past but is not sure if her pelvic floor muscles have ever been assessed. How do you manage this patient?

To complete her evaluation in the office, you perform a trauma-informed rectal exam which reveals a decreased resting anal sphincter tone and paradoxical defecatory maneuvers without tenderness to the puborectalis muscle. Augmentation of the squeeze is also weak. Given her pelvic floor related surgical history, her symptoms, and her rectal exam, you recommend anorectal manometry which is abnormal and send her for anorectal biofeedback pelvic floor physical therapy, which improves her symptoms significantly. 

Dr. Kara J. Jencks



 

Case 3

A 36-year-old woman (pronouns: she/her) assigned female sex at birth, who identifies as a lesbian, has a history of posttraumatic stress disorder and chronic nausea and vomiting that has begun to affect her quality of life. She notes the nausea and vomiting used to be managed well with evening cannabis gummies, though in the past 3 months, the nausea and vomiting has worsened, and she has lost 20 pounds as a result. As symptom predated cannabis usage, cannabis hyperemesis syndrome (CHS) was less likely (an important point as she has been stigmatized during prior encounters for her cannabis usage). Her primary care physician recommended a gastroscopy which was normal, aside from some residual solid food material in the stomach. Her bowel movements are normal, and she doesn’t have other gastrointestinal symptoms. She and her wife are considering having a third child, so she is worried about medications that may affect pregnancy or breast-feeding. How do you manage her nausea and vomiting?

After validating her concerns and performing a trauma-informed physical exam and encounter, you recommend a 4-hour gastric emptying test with a standard radiolabeled egg meal. Her gastric emptying does reveal significantly delayed gastric emptying at 2 and 4 hours. You discuss the risks and benefits of lifestyle modification (smaller frequent meals), initiating medications (erythromycin and metoclopramide) or cessation of cannabis (despite low likelihood of CHS). Desiring to avoid starting medications around initiation of pregnancy, she opts for the dietary approach and cessation of cannabis. You see her at a follow-up visit in 6 months, and her nausea is now only once a month, and she is excited to begin planning for a pregnancy using assisted reproductive technology. 

 

Case 4

A 20-year-old nonbinary intersex individual (pronouns: he/they) (incorrectly assigned female at birth — is intersex with congenital adrenal hyperplasia) presents to the gastroenterology clinic with 8 years of heartburn, acid reflux, postprandial bloating, alternating diarrhea and constipation, nausea, and vomiting, complicated by avoidant restrictive food intake disorder. They have a history of bipolar II disorder with prior suicidal ideation. He has not yet had diagnostic workup as he previously had a bad encounter with a gastroenterologist where the gastroenterologist blamed his symptoms on his gender-affirming therapy, misgendered the patient, and told the patient their symptoms were “all in her [sic] head.”

You recognize that affirming their gender and using proper pronouns is the best first way to start rapport and help break the cycle of medicalized trauma. You then recommend a holistic work up with interdisciplinary management because of the complexity of his symptoms. For testing, you recommend a colonoscopy, upper endoscopy, a gastric emptying test with a 48-hour transit scintigraphy test, anorectal manometry, a dietitian referral, and a gastrointestinal psychology referral. Their anorectal manometry is consistent with an evacuation disorder. The rest of the work up is unremarkable. You diagnose them with anorectal pelvic floor dysfunction and functional dyspepsia, recommending biofeedback pelvic floor physical therapy, a proton-pump inhibitor, and neuromodulation in coordination with psychiatry and psychology to start with a plan for follow-up. The patient appreciates you for helping them and listening to their symptoms. 

 

Discussion

When approaching DGBIs in the SGM community, it is vital to validate their concerns and be inclusive with diagnostic and treatment modalities. The diagnostic tools and treatments for DGBI are not different for patients in the SGM community. Like with other patients, trauma-informed care should be utilized, particularly given higher rates of trauma and discrimination in this community. Importantly, their DGBI is not a result of their sexual orientation or gender identity, and hormone therapy is not the cause of their DGBI. Recommending cessation of gender-affirming care or recommending lifestyle measures against their identity is generally not appropriate or necessary. With increased scrutiny being a reality of SGM people’s existence in recent years, cultural humility is needed to establish the rapport necessary to treat DGBIs among members of the SGM communities.

Dr. Jencks (@karajencks) is based in the division of gastroenterology and hepatology, Mayo Clinic, Rochester, Minnesota. Dr. Vélez (@Chris_Velez_MD) is based in the division of gastroenterology, Massachusetts General Hospital and Harvard Medical School, both in Boston. Both authors do not have any conflicts of interest for this article.

References

1. Duong N et al. 2023 Apr. doi: 10.1016/S2468-1253(23)00005-5.

2. Vélez C et al. Am J Gastroenterol. 2022 Jun. doi: 10.14309/ajg.0000000000001804.

3. Jones JM. Gallup. LGBTQ+ identification in U.S. now at 7.6%. 2024 Mar 13. https://news.gallup.com/poll/611864/lgbtq-identification.aspx

4. Sperber AD et al. Gastroenterology. 2021 Jan. doi: 10.1053/j.gastro.2020.04.014.

5. Wiley JW et al. Neurogastroenterol Motil. 2016 Jan. doi: 10.1111/nmo.12706.

6. Labanski A et al. Psychoneuroendocrinology. 2020 Jan. doi: 10.1016/j.psyneuen.2019.104501.

7. Khlevner J et al. Gastroenterol Clin North Am. 2018 Dec. doi: 10.1016/j.gtc.2018.07.002.

8. Jagielski CH and Harer KN. Gastroenterol Clin North Am. 2022 Dec. doi: 10.1016/j.gtc.2022.07.012.

9. Meyer IH. Psychol Bull. 2003 Sep. doi: 10.1037/0033-2909.129.5.674.

10. Mahurkar-Joshi S and Chang L. Front Psychiatry. 2020 Aug. doi: 10.3389/fpsyt.2020.00805.

Publications
Topics
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Brief Introduction to the SGM Communities

The sexual and gender minority (SGM) communities (see Table 1), also termed “LGBTQIA+ community” (lesbian, gay, bisexual, transgender, queer, intersex, asexual, plus — including two spirit) are historically minoritized with unique risks for inequities in gastrointestinal health outcomes.1 These potential disparities remain largely uninvestigated because of continued systemic discrimination and inadequate collection of sexual orientation and gender identity (SOGI) data,2 with the National Institutes of Health Sexual & Gender Minority Research Office (SGMRO) having been instructed to address these failures. There is increased SGM self-identification (7.1% of all people in the United States and 20.8% of generation Z).3 Given the high worldwide prevalence of disorders of gut-brain interaction (DGBIs)and the influence of biopsychosocial determinants of health in DGBI incidence,4 it becomes increasingly likely that research in DGBI-related factors in SGM people will be fruitful.

Disorders of Gut-Brain Interaction and the Potential Minority Stress Link in SGM People

DGBIs are gastrointestinal conditions that occur because of brain-gut axis dysregulation. There is evidence that chronic stress and trauma negatively influence brain-gut interaction, which likely results in minority communities who face increased levels of trauma, stress, discrimination, and social injustice being at higher risk of DGBI development.5-7 Given increased rates of trauma in the SGM community, practicing trauma-informed care is essential to increase patient comfort and decrease the chance of retraumatization in medical settings.8 Trauma-informed care focuses on how trauma influences a patient’s life and response to medical care. To practice trauma-informed care, screening for trauma when appropriate, actively creating a supportive environment with active listening and communication, with informing the patient of planned actions prior to doing them, like physical exams, is key.

Trauma-Informed Care: Examples of Verbiage

Asking about Identity

  • Begin by introducing yourself with your pronouns to create a safe environment for patient disclosure. Example: “Hello, I am Dr. Kara Jencks, and my pronouns are she/her. I am one of the gastroenterologists here at XYZ Clinic. How would you prefer to be addressed?”
  • You can also wear a pronoun lapel pin or a pronoun button on your ID badge to indicate you are someone who your patient can be themselves around.
  • The easiest way to obtain sexual orientation and gender identity is through intake forms. Below are examples of how to ask these questions on intake forms. It is important to offer the option to select more than one option when applicable and to opt out of answering if the patient is not comfortable answering these questions.

Sample Questions for Intake Forms

1. What is your sex assigned at birth? (Select one)

  • Female
  • Male
  • Intersex
  • Do not know
  • Prefer not to disclose

2. What is your gender identity? (Select all that apply)

  • Nonbinary
  • Gender queer
  • Woman
  • Man
  • Transwoman
  • Transman
  • Gender fluid
  • Two-spirit
  • Agender
  • Intersex
  • Other: type in response
  • Prefer not to disclose

3. What are your pronouns? (Select all that apply)

  • They/them/theirs
  • She/her/hers
  • He/him/his
  • Zie/zir/zirs
  • Other: type in response
  • Prefer not to disclose

4. What is your sexual orientation? (Select all that apply)

  • Bisexual
  • Pansexual
  • Queer
  • Lesbian
  • Gay
  • Asexual
  • Demisexual
  • Heterosexual or straight
  • Other: type in response
  • Prefer not to disclose

Screening for Trauma

Dr. Christopher Vélez

While there are questionnaires that exist to ask about trauma history, if time allows, it can be helpful to screen verbally with the patient. See reference number 8, for additional prompts and actions to practice trauma-informed care.

  • Example: “Many patients with gastrointestinal symptoms and disorders have experienced trauma in the past. We do our best to ensure we are keeping you as comfortable as possible while caring for you. Are you comfortable sharing this information? [if yes->] Do you have a history of trauma, including physical, emotional, or sexual abuse? ... Have these experiences impacted the way in which you navigate your healthcare? ... Is there anything we can do to make you more comfortable today?”

General Physical Examination

Provide details for what you are going to do before you do it. Ask for permission for the examination. Here are two examples:

  • “I would like to perform a physical exam to help better understand your symptoms. Is that okay with you?”
  • “I would like to examine your abdomen with my stethoscope and my hands. Here is a sheet that we can use to help with your privacy. Please let me know if and when you feel any tenderness or pain.”

Rectal Physical Examination

Let the patient know why it would be helpful to perform a rectal exam, what the rectal exam will entail, and the benefits and risks to doing a rectal exam. An example follows:

  • “Based on the symptoms you are describing, I think it would be helpful to perform a rectal exam to make sure you don’t have any fissures or hemorrhoids on the outside around the anus, any blockages or major issues inside the rectum, and to assess the strength and ability of your nerves and muscles or the pelvic floor to coordinate bowel movements. There are no risks aside from discomfort. If it is painful, and you would like me to stop, you tell me to stop, and I will stop right away. What questions do you have? Are we okay to proceed with the rectal exam?”
  • “Please pull down your undergarments and your pants to either midthigh, your ankles, or all the way off, whatever your preference is, lie down on the left side on the exam table, and cover yourself with this sheet. In the meantime, I will be getting a chaperone to keep us safe and serve as a patient advocate during the procedure.”
  • Upon returning to the exam room: “Here is Sara, who will be chaperoning today. Let myself or Sara know if you are uncomfortable or having pain during this exam. I will be lifting up the sheet to get a good look around the anus. [lifts up sheet] You will feel my hand helping to spread apart the buttocks. I am looking around the anus, and I do not see any fissures, hemorrhoids, or anything else concerning. Please squeeze in like you are trying to hold in gas. Please bear down like you are trying to have a bowel movement or let out gas. Okay, now you may feel some cold gel around the anus, and you will feel my finger go inside. Take a deep breath in. Do you feel any pain as I palpate? Please squeeze in like you are trying to hold in gas. Please bear down like you are trying to have a bowel movement or let out gas. I will be stopping the exam now.”
  • You would then wash your hands and allow the patient to get dressed, and then disclose the exam findings and the rest of your visit.

Ilan H. Meyer coined the minority stress model when discussing mental health disorders in SGM patients in the early 2000s.9 With it being well known that DGBIs can overlap with (but are not necessarily caused by) mental health disorders, this model can easily apply to unify multiple individual and societal factors that can combine to result in disorders of brain-gut interaction (see Figure 1) in SGM communities. Let us keep this framework in mind when evaluating the following cases. 

 

Case Presentations

Case 1

A 56-year-old man (pronouns: he/him) assigned male sex at birth, who identifies as gay, presents to your gastroenterology clinic for treatment-refractory constipation-predominant irritable bowel syndrome. It has impacted his sexual function. Outside hospital records report a normal colonoscopy 1 year ago and an unremarkable abdominal computerized tomography 4 months ago, aside from increased stool burden in the entire colon. He has tried to use enemas prior to sex, though these do not always help. Fiber-rich diet and fermentable food avoidance has not been successful. He is currently taking two capfuls of polyethylene glycol 3350 twice per day, as well as senna at night and continues to have a bowel movement every 2-3 days that is Bristol stool form scale type 1-2 unless he uses enemas. How do you counsel this patient about his IBS-C and rectal discomfort?

After assessing for sexual violence or other potential trauma-related factors, your digital rectal examination suggests that an anorectal defecatory disorder is less likely with normal relaxation and perineal movement. You recommend linaclotide. He notices improvement within 1 week, with improved comfort during anoreceptive sex. 

 

Case 2

A 30-year-old woman (pronouns: she/her) assigned male sex at birth who has sex with men underwent vaginoplasty 2 years ago and is referred to the gastroenterology clinic for fecal incontinence and diarrhea. On review of her anatomic inventory, her vaginoplasty was a penile inversion vaginoplasty (no intestinal tissue was used for creation), and her prostate was left intact. The vaginal vault was created in between the urethra and rectum, similar to the pelvic floor anatomy of a woman assigned female sex at birth. Blood, imaging, and endoscopic workup has been negative. She is also not taking any medications associated with diarrhea, only taking estrogen and spironolactone. The diarrhea is not daily, but when present, about once per week, can be up to 10 episodes per day, and she has a sense of incomplete evacuation regularly. She notes having a rectal exam in the past but is not sure if her pelvic floor muscles have ever been assessed. How do you manage this patient?

To complete her evaluation in the office, you perform a trauma-informed rectal exam which reveals a decreased resting anal sphincter tone and paradoxical defecatory maneuvers without tenderness to the puborectalis muscle. Augmentation of the squeeze is also weak. Given her pelvic floor related surgical history, her symptoms, and her rectal exam, you recommend anorectal manometry which is abnormal and send her for anorectal biofeedback pelvic floor physical therapy, which improves her symptoms significantly. 

Dr. Kara J. Jencks



 

Case 3

A 36-year-old woman (pronouns: she/her) assigned female sex at birth, who identifies as a lesbian, has a history of posttraumatic stress disorder and chronic nausea and vomiting that has begun to affect her quality of life. She notes the nausea and vomiting used to be managed well with evening cannabis gummies, though in the past 3 months, the nausea and vomiting has worsened, and she has lost 20 pounds as a result. As symptom predated cannabis usage, cannabis hyperemesis syndrome (CHS) was less likely (an important point as she has been stigmatized during prior encounters for her cannabis usage). Her primary care physician recommended a gastroscopy which was normal, aside from some residual solid food material in the stomach. Her bowel movements are normal, and she doesn’t have other gastrointestinal symptoms. She and her wife are considering having a third child, so she is worried about medications that may affect pregnancy or breast-feeding. How do you manage her nausea and vomiting?

After validating her concerns and performing a trauma-informed physical exam and encounter, you recommend a 4-hour gastric emptying test with a standard radiolabeled egg meal. Her gastric emptying does reveal significantly delayed gastric emptying at 2 and 4 hours. You discuss the risks and benefits of lifestyle modification (smaller frequent meals), initiating medications (erythromycin and metoclopramide) or cessation of cannabis (despite low likelihood of CHS). Desiring to avoid starting medications around initiation of pregnancy, she opts for the dietary approach and cessation of cannabis. You see her at a follow-up visit in 6 months, and her nausea is now only once a month, and she is excited to begin planning for a pregnancy using assisted reproductive technology. 

 

Case 4

A 20-year-old nonbinary intersex individual (pronouns: he/they) (incorrectly assigned female at birth — is intersex with congenital adrenal hyperplasia) presents to the gastroenterology clinic with 8 years of heartburn, acid reflux, postprandial bloating, alternating diarrhea and constipation, nausea, and vomiting, complicated by avoidant restrictive food intake disorder. They have a history of bipolar II disorder with prior suicidal ideation. He has not yet had diagnostic workup as he previously had a bad encounter with a gastroenterologist where the gastroenterologist blamed his symptoms on his gender-affirming therapy, misgendered the patient, and told the patient their symptoms were “all in her [sic] head.”

You recognize that affirming their gender and using proper pronouns is the best first way to start rapport and help break the cycle of medicalized trauma. You then recommend a holistic work up with interdisciplinary management because of the complexity of his symptoms. For testing, you recommend a colonoscopy, upper endoscopy, a gastric emptying test with a 48-hour transit scintigraphy test, anorectal manometry, a dietitian referral, and a gastrointestinal psychology referral. Their anorectal manometry is consistent with an evacuation disorder. The rest of the work up is unremarkable. You diagnose them with anorectal pelvic floor dysfunction and functional dyspepsia, recommending biofeedback pelvic floor physical therapy, a proton-pump inhibitor, and neuromodulation in coordination with psychiatry and psychology to start with a plan for follow-up. The patient appreciates you for helping them and listening to their symptoms. 

 

Discussion

When approaching DGBIs in the SGM community, it is vital to validate their concerns and be inclusive with diagnostic and treatment modalities. The diagnostic tools and treatments for DGBI are not different for patients in the SGM community. Like with other patients, trauma-informed care should be utilized, particularly given higher rates of trauma and discrimination in this community. Importantly, their DGBI is not a result of their sexual orientation or gender identity, and hormone therapy is not the cause of their DGBI. Recommending cessation of gender-affirming care or recommending lifestyle measures against their identity is generally not appropriate or necessary. With increased scrutiny being a reality of SGM people’s existence in recent years, cultural humility is needed to establish the rapport necessary to treat DGBIs among members of the SGM communities.

Dr. Jencks (@karajencks) is based in the division of gastroenterology and hepatology, Mayo Clinic, Rochester, Minnesota. Dr. Vélez (@Chris_Velez_MD) is based in the division of gastroenterology, Massachusetts General Hospital and Harvard Medical School, both in Boston. Both authors do not have any conflicts of interest for this article.

References

1. Duong N et al. 2023 Apr. doi: 10.1016/S2468-1253(23)00005-5.

2. Vélez C et al. Am J Gastroenterol. 2022 Jun. doi: 10.14309/ajg.0000000000001804.

3. Jones JM. Gallup. LGBTQ+ identification in U.S. now at 7.6%. 2024 Mar 13. https://news.gallup.com/poll/611864/lgbtq-identification.aspx

4. Sperber AD et al. Gastroenterology. 2021 Jan. doi: 10.1053/j.gastro.2020.04.014.

5. Wiley JW et al. Neurogastroenterol Motil. 2016 Jan. doi: 10.1111/nmo.12706.

6. Labanski A et al. Psychoneuroendocrinology. 2020 Jan. doi: 10.1016/j.psyneuen.2019.104501.

7. Khlevner J et al. Gastroenterol Clin North Am. 2018 Dec. doi: 10.1016/j.gtc.2018.07.002.

8. Jagielski CH and Harer KN. Gastroenterol Clin North Am. 2022 Dec. doi: 10.1016/j.gtc.2022.07.012.

9. Meyer IH. Psychol Bull. 2003 Sep. doi: 10.1037/0033-2909.129.5.674.

10. Mahurkar-Joshi S and Chang L. Front Psychiatry. 2020 Aug. doi: 10.3389/fpsyt.2020.00805.

Brief Introduction to the SGM Communities

The sexual and gender minority (SGM) communities (see Table 1), also termed “LGBTQIA+ community” (lesbian, gay, bisexual, transgender, queer, intersex, asexual, plus — including two spirit) are historically minoritized with unique risks for inequities in gastrointestinal health outcomes.1 These potential disparities remain largely uninvestigated because of continued systemic discrimination and inadequate collection of sexual orientation and gender identity (SOGI) data,2 with the National Institutes of Health Sexual & Gender Minority Research Office (SGMRO) having been instructed to address these failures. There is increased SGM self-identification (7.1% of all people in the United States and 20.8% of generation Z).3 Given the high worldwide prevalence of disorders of gut-brain interaction (DGBIs)and the influence of biopsychosocial determinants of health in DGBI incidence,4 it becomes increasingly likely that research in DGBI-related factors in SGM people will be fruitful.

Disorders of Gut-Brain Interaction and the Potential Minority Stress Link in SGM People

DGBIs are gastrointestinal conditions that occur because of brain-gut axis dysregulation. There is evidence that chronic stress and trauma negatively influence brain-gut interaction, which likely results in minority communities who face increased levels of trauma, stress, discrimination, and social injustice being at higher risk of DGBI development.5-7 Given increased rates of trauma in the SGM community, practicing trauma-informed care is essential to increase patient comfort and decrease the chance of retraumatization in medical settings.8 Trauma-informed care focuses on how trauma influences a patient’s life and response to medical care. To practice trauma-informed care, screening for trauma when appropriate, actively creating a supportive environment with active listening and communication, with informing the patient of planned actions prior to doing them, like physical exams, is key.

Trauma-Informed Care: Examples of Verbiage

Asking about Identity

  • Begin by introducing yourself with your pronouns to create a safe environment for patient disclosure. Example: “Hello, I am Dr. Kara Jencks, and my pronouns are she/her. I am one of the gastroenterologists here at XYZ Clinic. How would you prefer to be addressed?”
  • You can also wear a pronoun lapel pin or a pronoun button on your ID badge to indicate you are someone who your patient can be themselves around.
  • The easiest way to obtain sexual orientation and gender identity is through intake forms. Below are examples of how to ask these questions on intake forms. It is important to offer the option to select more than one option when applicable and to opt out of answering if the patient is not comfortable answering these questions.

Sample Questions for Intake Forms

1. What is your sex assigned at birth? (Select one)

  • Female
  • Male
  • Intersex
  • Do not know
  • Prefer not to disclose

2. What is your gender identity? (Select all that apply)

  • Nonbinary
  • Gender queer
  • Woman
  • Man
  • Transwoman
  • Transman
  • Gender fluid
  • Two-spirit
  • Agender
  • Intersex
  • Other: type in response
  • Prefer not to disclose

3. What are your pronouns? (Select all that apply)

  • They/them/theirs
  • She/her/hers
  • He/him/his
  • Zie/zir/zirs
  • Other: type in response
  • Prefer not to disclose

4. What is your sexual orientation? (Select all that apply)

  • Bisexual
  • Pansexual
  • Queer
  • Lesbian
  • Gay
  • Asexual
  • Demisexual
  • Heterosexual or straight
  • Other: type in response
  • Prefer not to disclose

Screening for Trauma

Dr. Christopher Vélez

While there are questionnaires that exist to ask about trauma history, if time allows, it can be helpful to screen verbally with the patient. See reference number 8, for additional prompts and actions to practice trauma-informed care.

  • Example: “Many patients with gastrointestinal symptoms and disorders have experienced trauma in the past. We do our best to ensure we are keeping you as comfortable as possible while caring for you. Are you comfortable sharing this information? [if yes->] Do you have a history of trauma, including physical, emotional, or sexual abuse? ... Have these experiences impacted the way in which you navigate your healthcare? ... Is there anything we can do to make you more comfortable today?”

General Physical Examination

Provide details for what you are going to do before you do it. Ask for permission for the examination. Here are two examples:

  • “I would like to perform a physical exam to help better understand your symptoms. Is that okay with you?”
  • “I would like to examine your abdomen with my stethoscope and my hands. Here is a sheet that we can use to help with your privacy. Please let me know if and when you feel any tenderness or pain.”

Rectal Physical Examination

Let the patient know why it would be helpful to perform a rectal exam, what the rectal exam will entail, and the benefits and risks to doing a rectal exam. An example follows:

  • “Based on the symptoms you are describing, I think it would be helpful to perform a rectal exam to make sure you don’t have any fissures or hemorrhoids on the outside around the anus, any blockages or major issues inside the rectum, and to assess the strength and ability of your nerves and muscles or the pelvic floor to coordinate bowel movements. There are no risks aside from discomfort. If it is painful, and you would like me to stop, you tell me to stop, and I will stop right away. What questions do you have? Are we okay to proceed with the rectal exam?”
  • “Please pull down your undergarments and your pants to either midthigh, your ankles, or all the way off, whatever your preference is, lie down on the left side on the exam table, and cover yourself with this sheet. In the meantime, I will be getting a chaperone to keep us safe and serve as a patient advocate during the procedure.”
  • Upon returning to the exam room: “Here is Sara, who will be chaperoning today. Let myself or Sara know if you are uncomfortable or having pain during this exam. I will be lifting up the sheet to get a good look around the anus. [lifts up sheet] You will feel my hand helping to spread apart the buttocks. I am looking around the anus, and I do not see any fissures, hemorrhoids, or anything else concerning. Please squeeze in like you are trying to hold in gas. Please bear down like you are trying to have a bowel movement or let out gas. Okay, now you may feel some cold gel around the anus, and you will feel my finger go inside. Take a deep breath in. Do you feel any pain as I palpate? Please squeeze in like you are trying to hold in gas. Please bear down like you are trying to have a bowel movement or let out gas. I will be stopping the exam now.”
  • You would then wash your hands and allow the patient to get dressed, and then disclose the exam findings and the rest of your visit.

Ilan H. Meyer coined the minority stress model when discussing mental health disorders in SGM patients in the early 2000s.9 With it being well known that DGBIs can overlap with (but are not necessarily caused by) mental health disorders, this model can easily apply to unify multiple individual and societal factors that can combine to result in disorders of brain-gut interaction (see Figure 1) in SGM communities. Let us keep this framework in mind when evaluating the following cases. 

 

Case Presentations

Case 1

A 56-year-old man (pronouns: he/him) assigned male sex at birth, who identifies as gay, presents to your gastroenterology clinic for treatment-refractory constipation-predominant irritable bowel syndrome. It has impacted his sexual function. Outside hospital records report a normal colonoscopy 1 year ago and an unremarkable abdominal computerized tomography 4 months ago, aside from increased stool burden in the entire colon. He has tried to use enemas prior to sex, though these do not always help. Fiber-rich diet and fermentable food avoidance has not been successful. He is currently taking two capfuls of polyethylene glycol 3350 twice per day, as well as senna at night and continues to have a bowel movement every 2-3 days that is Bristol stool form scale type 1-2 unless he uses enemas. How do you counsel this patient about his IBS-C and rectal discomfort?

After assessing for sexual violence or other potential trauma-related factors, your digital rectal examination suggests that an anorectal defecatory disorder is less likely with normal relaxation and perineal movement. You recommend linaclotide. He notices improvement within 1 week, with improved comfort during anoreceptive sex. 

 

Case 2

A 30-year-old woman (pronouns: she/her) assigned male sex at birth who has sex with men underwent vaginoplasty 2 years ago and is referred to the gastroenterology clinic for fecal incontinence and diarrhea. On review of her anatomic inventory, her vaginoplasty was a penile inversion vaginoplasty (no intestinal tissue was used for creation), and her prostate was left intact. The vaginal vault was created in between the urethra and rectum, similar to the pelvic floor anatomy of a woman assigned female sex at birth. Blood, imaging, and endoscopic workup has been negative. She is also not taking any medications associated with diarrhea, only taking estrogen and spironolactone. The diarrhea is not daily, but when present, about once per week, can be up to 10 episodes per day, and she has a sense of incomplete evacuation regularly. She notes having a rectal exam in the past but is not sure if her pelvic floor muscles have ever been assessed. How do you manage this patient?

To complete her evaluation in the office, you perform a trauma-informed rectal exam which reveals a decreased resting anal sphincter tone and paradoxical defecatory maneuvers without tenderness to the puborectalis muscle. Augmentation of the squeeze is also weak. Given her pelvic floor related surgical history, her symptoms, and her rectal exam, you recommend anorectal manometry which is abnormal and send her for anorectal biofeedback pelvic floor physical therapy, which improves her symptoms significantly. 

Dr. Kara J. Jencks



 

Case 3

A 36-year-old woman (pronouns: she/her) assigned female sex at birth, who identifies as a lesbian, has a history of posttraumatic stress disorder and chronic nausea and vomiting that has begun to affect her quality of life. She notes the nausea and vomiting used to be managed well with evening cannabis gummies, though in the past 3 months, the nausea and vomiting has worsened, and she has lost 20 pounds as a result. As symptom predated cannabis usage, cannabis hyperemesis syndrome (CHS) was less likely (an important point as she has been stigmatized during prior encounters for her cannabis usage). Her primary care physician recommended a gastroscopy which was normal, aside from some residual solid food material in the stomach. Her bowel movements are normal, and she doesn’t have other gastrointestinal symptoms. She and her wife are considering having a third child, so she is worried about medications that may affect pregnancy or breast-feeding. How do you manage her nausea and vomiting?

After validating her concerns and performing a trauma-informed physical exam and encounter, you recommend a 4-hour gastric emptying test with a standard radiolabeled egg meal. Her gastric emptying does reveal significantly delayed gastric emptying at 2 and 4 hours. You discuss the risks and benefits of lifestyle modification (smaller frequent meals), initiating medications (erythromycin and metoclopramide) or cessation of cannabis (despite low likelihood of CHS). Desiring to avoid starting medications around initiation of pregnancy, she opts for the dietary approach and cessation of cannabis. You see her at a follow-up visit in 6 months, and her nausea is now only once a month, and she is excited to begin planning for a pregnancy using assisted reproductive technology. 

 

Case 4

A 20-year-old nonbinary intersex individual (pronouns: he/they) (incorrectly assigned female at birth — is intersex with congenital adrenal hyperplasia) presents to the gastroenterology clinic with 8 years of heartburn, acid reflux, postprandial bloating, alternating diarrhea and constipation, nausea, and vomiting, complicated by avoidant restrictive food intake disorder. They have a history of bipolar II disorder with prior suicidal ideation. He has not yet had diagnostic workup as he previously had a bad encounter with a gastroenterologist where the gastroenterologist blamed his symptoms on his gender-affirming therapy, misgendered the patient, and told the patient their symptoms were “all in her [sic] head.”

You recognize that affirming their gender and using proper pronouns is the best first way to start rapport and help break the cycle of medicalized trauma. You then recommend a holistic work up with interdisciplinary management because of the complexity of his symptoms. For testing, you recommend a colonoscopy, upper endoscopy, a gastric emptying test with a 48-hour transit scintigraphy test, anorectal manometry, a dietitian referral, and a gastrointestinal psychology referral. Their anorectal manometry is consistent with an evacuation disorder. The rest of the work up is unremarkable. You diagnose them with anorectal pelvic floor dysfunction and functional dyspepsia, recommending biofeedback pelvic floor physical therapy, a proton-pump inhibitor, and neuromodulation in coordination with psychiatry and psychology to start with a plan for follow-up. The patient appreciates you for helping them and listening to their symptoms. 

 

Discussion

When approaching DGBIs in the SGM community, it is vital to validate their concerns and be inclusive with diagnostic and treatment modalities. The diagnostic tools and treatments for DGBI are not different for patients in the SGM community. Like with other patients, trauma-informed care should be utilized, particularly given higher rates of trauma and discrimination in this community. Importantly, their DGBI is not a result of their sexual orientation or gender identity, and hormone therapy is not the cause of their DGBI. Recommending cessation of gender-affirming care or recommending lifestyle measures against their identity is generally not appropriate or necessary. With increased scrutiny being a reality of SGM people’s existence in recent years, cultural humility is needed to establish the rapport necessary to treat DGBIs among members of the SGM communities.

Dr. Jencks (@karajencks) is based in the division of gastroenterology and hepatology, Mayo Clinic, Rochester, Minnesota. Dr. Vélez (@Chris_Velez_MD) is based in the division of gastroenterology, Massachusetts General Hospital and Harvard Medical School, both in Boston. Both authors do not have any conflicts of interest for this article.

References

1. Duong N et al. 2023 Apr. doi: 10.1016/S2468-1253(23)00005-5.

2. Vélez C et al. Am J Gastroenterol. 2022 Jun. doi: 10.14309/ajg.0000000000001804.

3. Jones JM. Gallup. LGBTQ+ identification in U.S. now at 7.6%. 2024 Mar 13. https://news.gallup.com/poll/611864/lgbtq-identification.aspx

4. Sperber AD et al. Gastroenterology. 2021 Jan. doi: 10.1053/j.gastro.2020.04.014.

5. Wiley JW et al. Neurogastroenterol Motil. 2016 Jan. doi: 10.1111/nmo.12706.

6. Labanski A et al. Psychoneuroendocrinology. 2020 Jan. doi: 10.1016/j.psyneuen.2019.104501.

7. Khlevner J et al. Gastroenterol Clin North Am. 2018 Dec. doi: 10.1016/j.gtc.2018.07.002.

8. Jagielski CH and Harer KN. Gastroenterol Clin North Am. 2022 Dec. doi: 10.1016/j.gtc.2022.07.012.

9. Meyer IH. Psychol Bull. 2003 Sep. doi: 10.1037/0033-2909.129.5.674.

10. Mahurkar-Joshi S and Chang L. Front Psychiatry. 2020 Aug. doi: 10.3389/fpsyt.2020.00805.

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Colorectal Cancer Awareness Month is Here!

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Happy Colorectal Cancer (CRC) Awareness Month! Today, CRC is the third-most common cancer in men and women in the United States. But there’s good news: We know that screening saves lives. That’s why we need to raise awareness about the importance of getting screened starting at age 45 all throughout the year, but especially during CRC Awareness Month.

We have a variety of resources for both physicians and patients to navigate the CRC screening process.

 

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AGA’s clinical guidelines and clinical practice updates provide evidence-based recommendations to guide your clinical practice decisions. Visit AGA’s new toolkit on CRC for the latest guidance on topics including colonoscopy follow-up, liquid biopsy, appropriate and tailored polypectomy, and more.

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AGA’s GI Patient Center can help your patients understand the need for CRC screening, colorectal cancer symptoms and risks, available screening tests, and the importance of preparing for a colonoscopy. Visit patient.gastro.org to access patient education materials.

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Happy Colorectal Cancer (CRC) Awareness Month! Today, CRC is the third-most common cancer in men and women in the United States. But there’s good news: We know that screening saves lives. That’s why we need to raise awareness about the importance of getting screened starting at age 45 all throughout the year, but especially during CRC Awareness Month.

We have a variety of resources for both physicians and patients to navigate the CRC screening process.

 

Clinical Guidance

AGA’s clinical guidelines and clinical practice updates provide evidence-based recommendations to guide your clinical practice decisions. Visit AGA’s new toolkit on CRC for the latest guidance on topics including colonoscopy follow-up, liquid biopsy, appropriate and tailored polypectomy, and more.

Patient Resources

AGA’s GI Patient Center can help your patients understand the need for CRC screening, colorectal cancer symptoms and risks, available screening tests, and the importance of preparing for a colonoscopy. Visit patient.gastro.org to access patient education materials.

Join the Conversation

We’ll be sharing resources and encouraging screenings on social media all month long. Join us as we remind everyone that 45 is the new 50.

Happy Colorectal Cancer (CRC) Awareness Month! Today, CRC is the third-most common cancer in men and women in the United States. But there’s good news: We know that screening saves lives. That’s why we need to raise awareness about the importance of getting screened starting at age 45 all throughout the year, but especially during CRC Awareness Month.

We have a variety of resources for both physicians and patients to navigate the CRC screening process.

 

Clinical Guidance

AGA’s clinical guidelines and clinical practice updates provide evidence-based recommendations to guide your clinical practice decisions. Visit AGA’s new toolkit on CRC for the latest guidance on topics including colonoscopy follow-up, liquid biopsy, appropriate and tailored polypectomy, and more.

Patient Resources

AGA’s GI Patient Center can help your patients understand the need for CRC screening, colorectal cancer symptoms and risks, available screening tests, and the importance of preparing for a colonoscopy. Visit patient.gastro.org to access patient education materials.

Join the Conversation

We’ll be sharing resources and encouraging screenings on social media all month long. Join us as we remind everyone that 45 is the new 50.

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New Risk Score Might Improve HCC Surveillance Among Cirrhosis Patients

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A newly validated risk stratification tool could potentially improve hepatocellular carcinoma (HCC) surveillance among patients with cirrhosis, based to a recent phase 3 biomarker validation study.

The Prognostic Liver Secretome Signature with Alpha-Fetoprotein plus Age, Male Sex, Albumin-Bilirubin, and Platelets (PAaM) score integrates both molecular and clinical variables to effectively classify cirrhosis patients by their risk of developing HCC, potentially sparing low-risk patients from unnecessary surveillance, lead author Naoto Fujiwara, MD, PhD, of the University of Texas Southwestern Medical Center, Dallas, and colleagues reported.

“Hepatocellular carcinoma risk stratification is an urgent unmet need for cost-effective screening and early detection in patients with cirrhosis,” the investigators wrote in Gastroenterology. “This study represents the largest and first phase 3 biomarker validation study that establishes an integrative molecular/clinical score, PAaM, for HCC risk stratification.” 

The PAaM score combines an 8-protein prognostic liver secretome signature with traditional clinical variables, including alpha-fetoprotein (AFP) levels, age, sex, albumin-bilirubin levels, and platelet counts. The score stratifies patients into high-, intermediate-, and low-risk categories.

The PAaM score was validated using 2 independent prospective cohorts in the United States: the statewide Texas Hepatocellular Carcinoma Consortium (THCCC) and the nationwide Hepatocellular Carcinoma Early Detection Strategy (HEDS). Across both cohorts, 3,484 patients with cirrhosis were followed over time to assess the development of HCC.

In the Texas cohort, comprising 2,156 patients with cirrhosis, PAaM classified 19% of patients as high risk, 42% as intermediate risk, and 39% as low risk. The annual incidence of HCC was significantly different across these groups, with high-risk patients experiencing a 5.3% incidence rate, versus 2.7% for intermediate-risk patients and 0.6% for low-risk patients (P less than .001). Compared with those in the low-risk group, high-risk patients had sub-distribution hazard ratio (sHR) of 7.51 for developing HCC, while intermediate-risk patients had an sHR of 4.20.

In the nationwide HEDS cohort, which included 1,328 patients, PAaM similarly stratified 15% of participants as high risk, 41% as intermediate risk, and 44% as low risk. Annual HCC incidence rates were 6.2%, 1.8%, and 0.8% for high-, intermediate-, and low-risk patients, respectively (P less than .001). Among these patients, sub-distribution hazard ratios for HCC were 6.54 for high-risk patients and 1.77 for intermediate-risk patients, again underscoring the tool’s potential to identify individuals at elevated risk of developing HCC.

The PAaM score outperformed existing models like the aMAP score and the PLSec-AFP molecular marker alone, with consistent superiority across a diverse range of cirrhosis etiologies, including metabolic dysfunction–associated steatotic liver disease (MASLD), alcohol-associated liver disease (ALD), and cured hepatitis C virus (HCV) infection. 

Based on these findings, high-risk patients might benefit from more intensive screening strategies, Fujiwara and colleagues suggested, while intermediate-risk patients could continue with semi-annual ultrasound-based screening. Of note, low-risk patients—comprising about 40% of the study population—could potentially avoid frequent screenings, thus reducing healthcare costs and minimizing unnecessary interventions.

“This represents a significant step toward the clinical translation of an individual risk-based HCC screening strategy to improve early HCC detection and reduce HCC mortality,” the investigators concluded.This study was supported by various the National Cancer Institute, Veterans Affairs, the Japan Society for the Promotion of Science, and others. The investigators disclosed additional relationships with Boston Scientific, Sirtex, Bayer, and others.

Body

Nancy S. Reau, MD, AGAF, of RUSH University in Chicago, highlighted both the promise and challenges of the PAaM score for HCC risk stratification, emphasizing that current liver cancer screening strategies remain inadequate, with only about 25% of patients receiving guideline-recommended surveillance.

Dr. Nancy S. Reau

“An easy-to-apply cost effective tool could significantly improve screening strategies, which should lead to earlier identification of liver cancer—at a time when curative treatment options are available,” Reau said. 

PAaM, however, may be impractical for routine use.

“A tool that classifies people into 3 different screening strategies and requires longitudinal applications and re-classification could add complexity,” she explained, predicting that “clinicians aren’t going to use it correctly.

Reau was particularly concerned about the need for repeated assessments over time. 

“People change,” she said. “A low-risk categorization by PAaM at the age of 40 may no longer be relevant at 50 or 60 as liver disease progresses.” 

Although the tool is “exciting,” Reau suggested that it is also “premature” until appropriate reclassification intervals are understood. 

She also noted that some patients still develop HCC despite being considered low risk, including cases of HCC that develop in non-cirrhotic HCV infection or MASLD.

Beyond the above clinical considerations, Dr. Reau pointed out several barriers to implementing PAaM in routine practice, starting with the under-recognition of cirrhosis. Even if patients are identified, ensuring both clinicians and patients adhere to screening recommendations remains a challenge. 

Finally, financial considerations may pose obstacles. 

“If some payers cover the tool and others do not, it will be very difficult to implement,” Dr. Reau concluded.

Reau reported no conflicts of interest.

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Body

Nancy S. Reau, MD, AGAF, of RUSH University in Chicago, highlighted both the promise and challenges of the PAaM score for HCC risk stratification, emphasizing that current liver cancer screening strategies remain inadequate, with only about 25% of patients receiving guideline-recommended surveillance.

Dr. Nancy S. Reau

“An easy-to-apply cost effective tool could significantly improve screening strategies, which should lead to earlier identification of liver cancer—at a time when curative treatment options are available,” Reau said. 

PAaM, however, may be impractical for routine use.

“A tool that classifies people into 3 different screening strategies and requires longitudinal applications and re-classification could add complexity,” she explained, predicting that “clinicians aren’t going to use it correctly.

Reau was particularly concerned about the need for repeated assessments over time. 

“People change,” she said. “A low-risk categorization by PAaM at the age of 40 may no longer be relevant at 50 or 60 as liver disease progresses.” 

Although the tool is “exciting,” Reau suggested that it is also “premature” until appropriate reclassification intervals are understood. 

She also noted that some patients still develop HCC despite being considered low risk, including cases of HCC that develop in non-cirrhotic HCV infection or MASLD.

Beyond the above clinical considerations, Dr. Reau pointed out several barriers to implementing PAaM in routine practice, starting with the under-recognition of cirrhosis. Even if patients are identified, ensuring both clinicians and patients adhere to screening recommendations remains a challenge. 

Finally, financial considerations may pose obstacles. 

“If some payers cover the tool and others do not, it will be very difficult to implement,” Dr. Reau concluded.

Reau reported no conflicts of interest.

Body

Nancy S. Reau, MD, AGAF, of RUSH University in Chicago, highlighted both the promise and challenges of the PAaM score for HCC risk stratification, emphasizing that current liver cancer screening strategies remain inadequate, with only about 25% of patients receiving guideline-recommended surveillance.

Dr. Nancy S. Reau

“An easy-to-apply cost effective tool could significantly improve screening strategies, which should lead to earlier identification of liver cancer—at a time when curative treatment options are available,” Reau said. 

PAaM, however, may be impractical for routine use.

“A tool that classifies people into 3 different screening strategies and requires longitudinal applications and re-classification could add complexity,” she explained, predicting that “clinicians aren’t going to use it correctly.

Reau was particularly concerned about the need for repeated assessments over time. 

“People change,” she said. “A low-risk categorization by PAaM at the age of 40 may no longer be relevant at 50 or 60 as liver disease progresses.” 

Although the tool is “exciting,” Reau suggested that it is also “premature” until appropriate reclassification intervals are understood. 

She also noted that some patients still develop HCC despite being considered low risk, including cases of HCC that develop in non-cirrhotic HCV infection or MASLD.

Beyond the above clinical considerations, Dr. Reau pointed out several barriers to implementing PAaM in routine practice, starting with the under-recognition of cirrhosis. Even if patients are identified, ensuring both clinicians and patients adhere to screening recommendations remains a challenge. 

Finally, financial considerations may pose obstacles. 

“If some payers cover the tool and others do not, it will be very difficult to implement,” Dr. Reau concluded.

Reau reported no conflicts of interest.

Title
Key Takeaways
Key Takeaways

A newly validated risk stratification tool could potentially improve hepatocellular carcinoma (HCC) surveillance among patients with cirrhosis, based to a recent phase 3 biomarker validation study.

The Prognostic Liver Secretome Signature with Alpha-Fetoprotein plus Age, Male Sex, Albumin-Bilirubin, and Platelets (PAaM) score integrates both molecular and clinical variables to effectively classify cirrhosis patients by their risk of developing HCC, potentially sparing low-risk patients from unnecessary surveillance, lead author Naoto Fujiwara, MD, PhD, of the University of Texas Southwestern Medical Center, Dallas, and colleagues reported.

“Hepatocellular carcinoma risk stratification is an urgent unmet need for cost-effective screening and early detection in patients with cirrhosis,” the investigators wrote in Gastroenterology. “This study represents the largest and first phase 3 biomarker validation study that establishes an integrative molecular/clinical score, PAaM, for HCC risk stratification.” 

The PAaM score combines an 8-protein prognostic liver secretome signature with traditional clinical variables, including alpha-fetoprotein (AFP) levels, age, sex, albumin-bilirubin levels, and platelet counts. The score stratifies patients into high-, intermediate-, and low-risk categories.

The PAaM score was validated using 2 independent prospective cohorts in the United States: the statewide Texas Hepatocellular Carcinoma Consortium (THCCC) and the nationwide Hepatocellular Carcinoma Early Detection Strategy (HEDS). Across both cohorts, 3,484 patients with cirrhosis were followed over time to assess the development of HCC.

In the Texas cohort, comprising 2,156 patients with cirrhosis, PAaM classified 19% of patients as high risk, 42% as intermediate risk, and 39% as low risk. The annual incidence of HCC was significantly different across these groups, with high-risk patients experiencing a 5.3% incidence rate, versus 2.7% for intermediate-risk patients and 0.6% for low-risk patients (P less than .001). Compared with those in the low-risk group, high-risk patients had sub-distribution hazard ratio (sHR) of 7.51 for developing HCC, while intermediate-risk patients had an sHR of 4.20.

In the nationwide HEDS cohort, which included 1,328 patients, PAaM similarly stratified 15% of participants as high risk, 41% as intermediate risk, and 44% as low risk. Annual HCC incidence rates were 6.2%, 1.8%, and 0.8% for high-, intermediate-, and low-risk patients, respectively (P less than .001). Among these patients, sub-distribution hazard ratios for HCC were 6.54 for high-risk patients and 1.77 for intermediate-risk patients, again underscoring the tool’s potential to identify individuals at elevated risk of developing HCC.

The PAaM score outperformed existing models like the aMAP score and the PLSec-AFP molecular marker alone, with consistent superiority across a diverse range of cirrhosis etiologies, including metabolic dysfunction–associated steatotic liver disease (MASLD), alcohol-associated liver disease (ALD), and cured hepatitis C virus (HCV) infection. 

Based on these findings, high-risk patients might benefit from more intensive screening strategies, Fujiwara and colleagues suggested, while intermediate-risk patients could continue with semi-annual ultrasound-based screening. Of note, low-risk patients—comprising about 40% of the study population—could potentially avoid frequent screenings, thus reducing healthcare costs and minimizing unnecessary interventions.

“This represents a significant step toward the clinical translation of an individual risk-based HCC screening strategy to improve early HCC detection and reduce HCC mortality,” the investigators concluded.This study was supported by various the National Cancer Institute, Veterans Affairs, the Japan Society for the Promotion of Science, and others. The investigators disclosed additional relationships with Boston Scientific, Sirtex, Bayer, and others.

A newly validated risk stratification tool could potentially improve hepatocellular carcinoma (HCC) surveillance among patients with cirrhosis, based to a recent phase 3 biomarker validation study.

The Prognostic Liver Secretome Signature with Alpha-Fetoprotein plus Age, Male Sex, Albumin-Bilirubin, and Platelets (PAaM) score integrates both molecular and clinical variables to effectively classify cirrhosis patients by their risk of developing HCC, potentially sparing low-risk patients from unnecessary surveillance, lead author Naoto Fujiwara, MD, PhD, of the University of Texas Southwestern Medical Center, Dallas, and colleagues reported.

“Hepatocellular carcinoma risk stratification is an urgent unmet need for cost-effective screening and early detection in patients with cirrhosis,” the investigators wrote in Gastroenterology. “This study represents the largest and first phase 3 biomarker validation study that establishes an integrative molecular/clinical score, PAaM, for HCC risk stratification.” 

The PAaM score combines an 8-protein prognostic liver secretome signature with traditional clinical variables, including alpha-fetoprotein (AFP) levels, age, sex, albumin-bilirubin levels, and platelet counts. The score stratifies patients into high-, intermediate-, and low-risk categories.

The PAaM score was validated using 2 independent prospective cohorts in the United States: the statewide Texas Hepatocellular Carcinoma Consortium (THCCC) and the nationwide Hepatocellular Carcinoma Early Detection Strategy (HEDS). Across both cohorts, 3,484 patients with cirrhosis were followed over time to assess the development of HCC.

In the Texas cohort, comprising 2,156 patients with cirrhosis, PAaM classified 19% of patients as high risk, 42% as intermediate risk, and 39% as low risk. The annual incidence of HCC was significantly different across these groups, with high-risk patients experiencing a 5.3% incidence rate, versus 2.7% for intermediate-risk patients and 0.6% for low-risk patients (P less than .001). Compared with those in the low-risk group, high-risk patients had sub-distribution hazard ratio (sHR) of 7.51 for developing HCC, while intermediate-risk patients had an sHR of 4.20.

In the nationwide HEDS cohort, which included 1,328 patients, PAaM similarly stratified 15% of participants as high risk, 41% as intermediate risk, and 44% as low risk. Annual HCC incidence rates were 6.2%, 1.8%, and 0.8% for high-, intermediate-, and low-risk patients, respectively (P less than .001). Among these patients, sub-distribution hazard ratios for HCC were 6.54 for high-risk patients and 1.77 for intermediate-risk patients, again underscoring the tool’s potential to identify individuals at elevated risk of developing HCC.

The PAaM score outperformed existing models like the aMAP score and the PLSec-AFP molecular marker alone, with consistent superiority across a diverse range of cirrhosis etiologies, including metabolic dysfunction–associated steatotic liver disease (MASLD), alcohol-associated liver disease (ALD), and cured hepatitis C virus (HCV) infection. 

Based on these findings, high-risk patients might benefit from more intensive screening strategies, Fujiwara and colleagues suggested, while intermediate-risk patients could continue with semi-annual ultrasound-based screening. Of note, low-risk patients—comprising about 40% of the study population—could potentially avoid frequent screenings, thus reducing healthcare costs and minimizing unnecessary interventions.

“This represents a significant step toward the clinical translation of an individual risk-based HCC screening strategy to improve early HCC detection and reduce HCC mortality,” the investigators concluded.This study was supported by various the National Cancer Institute, Veterans Affairs, the Japan Society for the Promotion of Science, and others. The investigators disclosed additional relationships with Boston Scientific, Sirtex, Bayer, and others.

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Fecal Hemoglobin Levels From Negative FITs Signal CRC Risk

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The risk of detecting colorectal cancer (CRC) increases by up to 13-fold in the presence of prior fecal hemoglobin (f-Hb) concentrations in fecal immunochemical tests (FIT), especially negative ones, according to a large international dose-response meta-analysis.

Danica M.N. van den Berg

Although the association with neoplasia decreased as f-Hb levels rose, the findings support the development of risk-stratified screening strategies based on these concentrations, according to researchers led by Danica M.N. van den Berg, MSc, a PhD candidate and econometrics researcher in the Department of Public Health at Erasmus MC, University Medical Center in Rotterdam, the Netherlands.

Higher f-Hb concentrations in prior negative screening tests are strongly associated with an increased risk of detecting colorectal neoplasia in subsequent screenings, van den Berg said in an interview. “Gastroenterologists and other clinicians should consider the value of f-Hb concentrations in refining screening protocols and personalizing patient care to detect colorectal neoplasia earlier and more accurately.”

Published in Gastroenterology, the study was prompted by prior research showing individuals with f-Hb concentrations just below the positivity cutoff had an elevated CRC risk vs those with low or no f-Hb. “However, global variations in FIT positivity cutoffs and f-Hb category definitions complicated cross-study comparisons,” van den Berg said. Given the lack of an established dose-response relationship, the study aimed to clarify how f-Hb levels in previous screenings correlate with colorectal neoplasia detection. “Understanding this relationship is crucial for developing risk-stratified colorectal cancer screening strategies based on prior FIT results, which could improve the harm-benefit balance of screening,” she said.

According to van den Berg, f-Hb concentrations could help determine optimal CRC screening intervals by identifying higher-risk individuals who could benefit from more frequent testing, while those with lower concentrations could be screened less frequently.

 

Study Details

The systematic review and meta-analysis are the first to focus on the dose-response relationship between f-Hb levels in prior FIT screenings and colorectal neoplasia detection, van den Berg said. It included 13 ethnically diverse studies published during 2011-2023 with 4,493,223 individuals from Spain, France, the Netherlands, Taiwan, Denmark, Scotland, Ireland, Korea, Italy, and Norway. Most studies were cohort-based, and one was a randomized controlled trial.

All studies demonstrated a positive association between f-Hb in previous screenings and colorectal neoplasia detection. Almost all reported the f-Hb concentration measured in the prior screening round, while one study combined the f-Hb concentration of two previous screening rounds by using the cumulative f-Hb value. There was, however, wide variability in the stool positivity cut-offs in the included studies, ranging from 10 μg f-Hb/g to 80 μg f-Hb/g.

With an overall effect size of 0.69 (95% CI, 0.59-0.79), pooled analysis revealed that in the next screening round, individuals with f-Hb concentrations in stool of 5, 10, 20, and 40 μg/g had a threefold, fivefold, eightfold, and 13-fold higher risk for colorectal neoplasia, respectively, vs individuals showing 0 μg/g. Although there was significant study heterogeneity (I2 = 97.5%, P < .001), sensitivity analyses confirmed the consistency of findings. Interestingly, subgroup analyses indicated that f-Hb concentrations from a previous negative test were especially predictive of advanced neoplasia in subsequent screenings.

Dr. Theodore R. Levin



“This is a strategy worth pursuing and evaluating in the United States,” said gastroenterologist Theodore R. Levin, MD, a research scientist at Kaiser Permanente Division of Research in Northern California, commenting on the study but not involved in it. “However, there is no currently available FIT brand in the US that reports f-Hb concentration. All FITs in the US report as a qualitative positive-negative result.”

The Dutch investigation aligns with prior studies demonstrating a positive association between f-Hb concentrations in previous screenings and the detection of colorectal neoplasia. “Our working hypothesis was that risk increases in a decreasing manner as f-Hb concentrations rise, and the findings supported this hypothesis,” van den Berg said.

Other research has projected f-Hb level risk stratification to be effective and perhaps cost-effective in reducing delayed diagnosis of CRC.

 

Feasibility of Implementation

In large national screening programs in Europe, Asia, and Australia, as well as those of Kaiser Permanente and the Veterans Health Administration in the United States, information on f-Hb concentrations is already available.

“Therefore, incorporating an Hb-based approach should be relatively easy and affordable,” van den Berg said, and may help to optimize resource use while maintaining high detection rates. “However, the more critical question is whether such an approach would be acceptable to the target population.” To that end, randomized controlled trials in Italy and the Netherlands are offering tailored invitation intervals based on prior f-Hb concentrations and may provide insight into the real-world application of risk-stratified screening.

Among the many variables to be considered in the context of population-wide screening are cost-effectiveness, acceptability, and practicality, as well as invitation intervals, positivity cut-off levels, and start and stop ages for screening. “A key focus will be understanding the acceptability of risk-stratified colorectal cancer screening based on f-Hb among the target population and addressing any information needs they may have, as these are critical factors for successful implementation,” said van den Berg. Her group is currently studying the most effective and cost-effective risk-based strategy for CRC screening based on f-Hb levels.

The authors cautioned that since individuals with undetectable f-Hb levels make up the majority of those with negative FIT results, care must be taken that reducing screening frequency for this low-risk group does not lead to unfavorable outcomes at the population level.

This study was funded by the Dutch Organization for Scientific Research, which had no role in study design, data collection, analysis, interpretation, or writing. 

The authors declared no competing interests. Levin disclosed no competing interests relevant to his comments.

A version of this article appeared on Medscape.com.

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The risk of detecting colorectal cancer (CRC) increases by up to 13-fold in the presence of prior fecal hemoglobin (f-Hb) concentrations in fecal immunochemical tests (FIT), especially negative ones, according to a large international dose-response meta-analysis.

Danica M.N. van den Berg

Although the association with neoplasia decreased as f-Hb levels rose, the findings support the development of risk-stratified screening strategies based on these concentrations, according to researchers led by Danica M.N. van den Berg, MSc, a PhD candidate and econometrics researcher in the Department of Public Health at Erasmus MC, University Medical Center in Rotterdam, the Netherlands.

Higher f-Hb concentrations in prior negative screening tests are strongly associated with an increased risk of detecting colorectal neoplasia in subsequent screenings, van den Berg said in an interview. “Gastroenterologists and other clinicians should consider the value of f-Hb concentrations in refining screening protocols and personalizing patient care to detect colorectal neoplasia earlier and more accurately.”

Published in Gastroenterology, the study was prompted by prior research showing individuals with f-Hb concentrations just below the positivity cutoff had an elevated CRC risk vs those with low or no f-Hb. “However, global variations in FIT positivity cutoffs and f-Hb category definitions complicated cross-study comparisons,” van den Berg said. Given the lack of an established dose-response relationship, the study aimed to clarify how f-Hb levels in previous screenings correlate with colorectal neoplasia detection. “Understanding this relationship is crucial for developing risk-stratified colorectal cancer screening strategies based on prior FIT results, which could improve the harm-benefit balance of screening,” she said.

According to van den Berg, f-Hb concentrations could help determine optimal CRC screening intervals by identifying higher-risk individuals who could benefit from more frequent testing, while those with lower concentrations could be screened less frequently.

 

Study Details

The systematic review and meta-analysis are the first to focus on the dose-response relationship between f-Hb levels in prior FIT screenings and colorectal neoplasia detection, van den Berg said. It included 13 ethnically diverse studies published during 2011-2023 with 4,493,223 individuals from Spain, France, the Netherlands, Taiwan, Denmark, Scotland, Ireland, Korea, Italy, and Norway. Most studies were cohort-based, and one was a randomized controlled trial.

All studies demonstrated a positive association between f-Hb in previous screenings and colorectal neoplasia detection. Almost all reported the f-Hb concentration measured in the prior screening round, while one study combined the f-Hb concentration of two previous screening rounds by using the cumulative f-Hb value. There was, however, wide variability in the stool positivity cut-offs in the included studies, ranging from 10 μg f-Hb/g to 80 μg f-Hb/g.

With an overall effect size of 0.69 (95% CI, 0.59-0.79), pooled analysis revealed that in the next screening round, individuals with f-Hb concentrations in stool of 5, 10, 20, and 40 μg/g had a threefold, fivefold, eightfold, and 13-fold higher risk for colorectal neoplasia, respectively, vs individuals showing 0 μg/g. Although there was significant study heterogeneity (I2 = 97.5%, P < .001), sensitivity analyses confirmed the consistency of findings. Interestingly, subgroup analyses indicated that f-Hb concentrations from a previous negative test were especially predictive of advanced neoplasia in subsequent screenings.

Dr. Theodore R. Levin



“This is a strategy worth pursuing and evaluating in the United States,” said gastroenterologist Theodore R. Levin, MD, a research scientist at Kaiser Permanente Division of Research in Northern California, commenting on the study but not involved in it. “However, there is no currently available FIT brand in the US that reports f-Hb concentration. All FITs in the US report as a qualitative positive-negative result.”

The Dutch investigation aligns with prior studies demonstrating a positive association between f-Hb concentrations in previous screenings and the detection of colorectal neoplasia. “Our working hypothesis was that risk increases in a decreasing manner as f-Hb concentrations rise, and the findings supported this hypothesis,” van den Berg said.

Other research has projected f-Hb level risk stratification to be effective and perhaps cost-effective in reducing delayed diagnosis of CRC.

 

Feasibility of Implementation

In large national screening programs in Europe, Asia, and Australia, as well as those of Kaiser Permanente and the Veterans Health Administration in the United States, information on f-Hb concentrations is already available.

“Therefore, incorporating an Hb-based approach should be relatively easy and affordable,” van den Berg said, and may help to optimize resource use while maintaining high detection rates. “However, the more critical question is whether such an approach would be acceptable to the target population.” To that end, randomized controlled trials in Italy and the Netherlands are offering tailored invitation intervals based on prior f-Hb concentrations and may provide insight into the real-world application of risk-stratified screening.

Among the many variables to be considered in the context of population-wide screening are cost-effectiveness, acceptability, and practicality, as well as invitation intervals, positivity cut-off levels, and start and stop ages for screening. “A key focus will be understanding the acceptability of risk-stratified colorectal cancer screening based on f-Hb among the target population and addressing any information needs they may have, as these are critical factors for successful implementation,” said van den Berg. Her group is currently studying the most effective and cost-effective risk-based strategy for CRC screening based on f-Hb levels.

The authors cautioned that since individuals with undetectable f-Hb levels make up the majority of those with negative FIT results, care must be taken that reducing screening frequency for this low-risk group does not lead to unfavorable outcomes at the population level.

This study was funded by the Dutch Organization for Scientific Research, which had no role in study design, data collection, analysis, interpretation, or writing. 

The authors declared no competing interests. Levin disclosed no competing interests relevant to his comments.

A version of this article appeared on Medscape.com.

The risk of detecting colorectal cancer (CRC) increases by up to 13-fold in the presence of prior fecal hemoglobin (f-Hb) concentrations in fecal immunochemical tests (FIT), especially negative ones, according to a large international dose-response meta-analysis.

Danica M.N. van den Berg

Although the association with neoplasia decreased as f-Hb levels rose, the findings support the development of risk-stratified screening strategies based on these concentrations, according to researchers led by Danica M.N. van den Berg, MSc, a PhD candidate and econometrics researcher in the Department of Public Health at Erasmus MC, University Medical Center in Rotterdam, the Netherlands.

Higher f-Hb concentrations in prior negative screening tests are strongly associated with an increased risk of detecting colorectal neoplasia in subsequent screenings, van den Berg said in an interview. “Gastroenterologists and other clinicians should consider the value of f-Hb concentrations in refining screening protocols and personalizing patient care to detect colorectal neoplasia earlier and more accurately.”

Published in Gastroenterology, the study was prompted by prior research showing individuals with f-Hb concentrations just below the positivity cutoff had an elevated CRC risk vs those with low or no f-Hb. “However, global variations in FIT positivity cutoffs and f-Hb category definitions complicated cross-study comparisons,” van den Berg said. Given the lack of an established dose-response relationship, the study aimed to clarify how f-Hb levels in previous screenings correlate with colorectal neoplasia detection. “Understanding this relationship is crucial for developing risk-stratified colorectal cancer screening strategies based on prior FIT results, which could improve the harm-benefit balance of screening,” she said.

According to van den Berg, f-Hb concentrations could help determine optimal CRC screening intervals by identifying higher-risk individuals who could benefit from more frequent testing, while those with lower concentrations could be screened less frequently.

 

Study Details

The systematic review and meta-analysis are the first to focus on the dose-response relationship between f-Hb levels in prior FIT screenings and colorectal neoplasia detection, van den Berg said. It included 13 ethnically diverse studies published during 2011-2023 with 4,493,223 individuals from Spain, France, the Netherlands, Taiwan, Denmark, Scotland, Ireland, Korea, Italy, and Norway. Most studies were cohort-based, and one was a randomized controlled trial.

All studies demonstrated a positive association between f-Hb in previous screenings and colorectal neoplasia detection. Almost all reported the f-Hb concentration measured in the prior screening round, while one study combined the f-Hb concentration of two previous screening rounds by using the cumulative f-Hb value. There was, however, wide variability in the stool positivity cut-offs in the included studies, ranging from 10 μg f-Hb/g to 80 μg f-Hb/g.

With an overall effect size of 0.69 (95% CI, 0.59-0.79), pooled analysis revealed that in the next screening round, individuals with f-Hb concentrations in stool of 5, 10, 20, and 40 μg/g had a threefold, fivefold, eightfold, and 13-fold higher risk for colorectal neoplasia, respectively, vs individuals showing 0 μg/g. Although there was significant study heterogeneity (I2 = 97.5%, P < .001), sensitivity analyses confirmed the consistency of findings. Interestingly, subgroup analyses indicated that f-Hb concentrations from a previous negative test were especially predictive of advanced neoplasia in subsequent screenings.

Dr. Theodore R. Levin



“This is a strategy worth pursuing and evaluating in the United States,” said gastroenterologist Theodore R. Levin, MD, a research scientist at Kaiser Permanente Division of Research in Northern California, commenting on the study but not involved in it. “However, there is no currently available FIT brand in the US that reports f-Hb concentration. All FITs in the US report as a qualitative positive-negative result.”

The Dutch investigation aligns with prior studies demonstrating a positive association between f-Hb concentrations in previous screenings and the detection of colorectal neoplasia. “Our working hypothesis was that risk increases in a decreasing manner as f-Hb concentrations rise, and the findings supported this hypothesis,” van den Berg said.

Other research has projected f-Hb level risk stratification to be effective and perhaps cost-effective in reducing delayed diagnosis of CRC.

 

Feasibility of Implementation

In large national screening programs in Europe, Asia, and Australia, as well as those of Kaiser Permanente and the Veterans Health Administration in the United States, information on f-Hb concentrations is already available.

“Therefore, incorporating an Hb-based approach should be relatively easy and affordable,” van den Berg said, and may help to optimize resource use while maintaining high detection rates. “However, the more critical question is whether such an approach would be acceptable to the target population.” To that end, randomized controlled trials in Italy and the Netherlands are offering tailored invitation intervals based on prior f-Hb concentrations and may provide insight into the real-world application of risk-stratified screening.

Among the many variables to be considered in the context of population-wide screening are cost-effectiveness, acceptability, and practicality, as well as invitation intervals, positivity cut-off levels, and start and stop ages for screening. “A key focus will be understanding the acceptability of risk-stratified colorectal cancer screening based on f-Hb among the target population and addressing any information needs they may have, as these are critical factors for successful implementation,” said van den Berg. Her group is currently studying the most effective and cost-effective risk-based strategy for CRC screening based on f-Hb levels.

The authors cautioned that since individuals with undetectable f-Hb levels make up the majority of those with negative FIT results, care must be taken that reducing screening frequency for this low-risk group does not lead to unfavorable outcomes at the population level.

This study was funded by the Dutch Organization for Scientific Research, which had no role in study design, data collection, analysis, interpretation, or writing. 

The authors declared no competing interests. Levin disclosed no competing interests relevant to his comments.

A version of this article appeared on Medscape.com.

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Resident Participation Impact on Operative Time and Outcomes in Veterans Undergoing Total Laryngectomy

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Resident Participation Impact on Operative Time and Outcomes in Veterans Undergoing Total Laryngectomy

The US Department of Veterans Affairs (VA) has been integral in resident training. Resident surgical training requires a balance of supervision and autonomy, along with procedure repetition and appropriate feedback.1-3 Non-VA research has found that resident participation across various otolaryngology procedures, including thyroidectomy, neck dissection, and laryngectomy, does not increase patient morbidity.4-7 However, resident involvement in private and academic settings that included nonhead and neck procedures was linked to increased operative time and reduced productivity, as determined by work relative value units (wRVUs).7-13 This has also been identified in other specialties, including general surgery, orthopedics, and ophthalmology.14-16

Unlike the private sector, surgeon compensation at the VA is not as closely linked to operative productivity, offering a unique setting for resident training. While VA integration in otolaryngology residency programs increases resident case numbers, particularly in head and neck cases, the impact on VA patient outcomes and productivity is unknown.17 The use of larynxpreserving treatment modalities for laryngeal cancer has led to a decline in the number of total laryngectomies performed, which could potentially impact resident operative training for laryngectomies.18-20

This study sought to determine the impact of resident participation on operative time, wRVUs, and patient outcomes in veterans who underwent a total laryngectomy. This study was reviewed and approved by the MedStar Georgetown University Hospital Institutional Review Board and Research and Development Committee (#1595672).

Methods

A retrospective cohort of veterans nationwide who underwent total laryngectomy between 2001 and 2021, with or without neck dissection, was identified from the Veterans Affairs Surgical Quality Improvement Program (VASQIP). Data were extracted via the VA Informatics and Computing Infrastructure and patients were included based on Current Procedural Terminology codes for total laryngectomy, with or without neck dissection (31320, 31360, 31365). Laryngopharyngectomies, partial laryngectomies, and minimally invasive laryngectomies were excluded. VASQIP nurse data managers reviewed patient data for operative data, postoperative outcomes (including 30- day morbidity and mortality), and preoperative risk factors (Appendix).21

The VASQIP data provide the highest resident or postgraduate year (PGY) per surgery. PGY 1, 2, and 3 were considered junior residents and PGY ≥4, surgical fellows, and individuals who took research years during residency were considered senior residents. Cases performed by attending physicians alone were compared with those involving junior or senior residents.

Patient demographic data included age, body mass index, smoking and alcohol use, weight loss, and functional status. Consumption of any tobacco products within 12 months of surgery was considered tobacco use. Drinking on average ≥2 alcoholic beverages daily was considered alcohol use. Weight loss was defined as a 10% reduction in body weight within the 6 months before surgery, excluding patients enrolled in a weight loss program. Functional status was categorized as independent, partially dependent, totally dependent, and unknown.

Primary outcomes included operative time, wRVUs generated, and wRVUs generated per hour of operative time. Postoperative complications were recorded both as a continuous variable and as a binary variable for presence or absence of a complication. Additional outcome variables included length of postoperative hospital stay, return to the operating room (OR), and death within 30 days of surgery.

Statistical Analysis

Data were summarized using frequency and percentage for categorical variables and median with IQR for continuous variables. Data were also summarized based on resident involvement in the surgery and the PGY level of the residents involved. The occurrence of total laryngectomy, rate of complications, and patient return to the OR were summarized by year.

Univariate associations between resident involvement and surgical outcomes were analyzed using the Kruskal-Wallis test for continuous variables and the ÷2 test for categorical variables. A Fisher exact test was used when the cell count in the contingency table was < 5. The univariate associations between surgical outcomes and demographic/preoperative variables were examined using 2-sided Wilcoxon ranksum tests or Kruskal-Wallis tests between continuous variables and categorical variables, X2 or Fisher exact test between 2 categorical variables, and 2-sided Spearman correlation test between 2 continuous variables. A false-discovery rate approach was used for simultaneous posthoc tests to determine the adjusted P values for wRVUs generated/operative time for attending physicians alone vs with junior residents and for attending physicians alone vs with senior residents. Models were used to evaluate the effects of resident involvement on surgical outcomes, adjusting for variables that showed significant univariate associations. Linear regression models were used for operative time, wRVUs generated, wRVUs generated/operative time, and length of postoperative stay. A logistic regression model was used for death within 30 days. Models were not built for postoperative complications or patient return to the OR, as these were only statistically significantly associated with the patient’s preoperative functional status. A finding was considered significant if P < .05. All analyses were performed using statistical software RStudio Version 2023.03.0.

Results

Between 2001 and 2021, 1857 patients who underwent total laryngectomy were identified from the VASQIP database nationwide. Most of the total laryngectomies were staffed by an attending physician with a senior resident (n = 1190, 64%), 446 (24%) were conducted by the attending physician alone, and 221 (12%) by an attending physician with a junior resident (Table 1). The mean operating time for an attending physician alone was 378 minutes, 384 minutes for an attending physician with a senior resident, and 432 minutes for an attending physician with a junior resident (Table 2). There was a statistically significant increase in operating time for laryngectomies with resident participation compared to attending physicians operating alone (P < .001).

FDP04202082_T1FDP04202082_T2

When the wRVUs generated/operative time was analyzed, there was a statistically significant difference between comparison groups. Total laryngectomies performed by attending physicians alone had the highest wRVUs generated/operative time (5.5), followed by laryngectomies performed by attending physicians with senior residents and laryngectomies performed by attending physicians with junior residents (5.2 and 4.8, respectively; P = .002). Table 3 describes adjusted P values for wRVUs generated/ operative time for total laryngectomies performed by attending physicians alone vs with junior residents (P = .003) and for attending physicians alone vs with senior residents (P = .02). Resident participation in total laryngectomies did not significantly impact the development or number of postoperative complications or the rate of return to the OR.

FDP04202082_T3

The number of laryngectomies performed in a single fiscal year peaked in 2010 at 170 cases (Figure 1). Between 2001 and 2021, the mean rates of postoperative complications (21.3%) and patient return to the OR (14.6%) did not significantly change. Resident participation in total laryngectomies also peaked in 2010 at 89.0% but has significantly declined, falling to a low of 43.6% in 2021 (Figure 2). From 2001 to 2011, the mean resident participation rate in total laryngectomies was 80.6%, compared with 68.3% from 2012 to 2021 (P < .001).

FDP04202082_F1FDP04202082_F2

The effect of various demographic and preoperative characteristics on surgical outcomes was also analyzed. A linear regression model accounted for each variable significantly associated with operative time. On multivariable analysis, when all other variables were held constant, Table 4 shows the estimated change in operative time based on certain criteria. For instance, the operative time for attendings with junior residents surgeries was 40 minutes longer (95% CI, 16 to 64) than that of attending alone surgeries (P = .001). Furthermore, operative time decreased by 1.1 minutes (95% CI, 0.30 to 2.04) for each 1-year increase in patient age (P = .009).

FDP04202082_T4

A multivariable logistic regression model evaluated the effect of resident involvement on 30-day mortality rates. Senior resident involvement (P = .02), partially dependent functional status (P = .01), totally dependent functional status (P < .001), and advanced age (P = .02) all were significantly associated with 30-day mortality (Table 5). When other variables remained constant, the odds of death for totally dependent patients were 10.4 times higher than that of patients with independent functional status. Thus, totally dependent functional status appeared to have a greater impact on this outcome than resident participation. The linear regression model for postoperative length of stay demonstrated that senior resident involvement (P = .04), functional status (partially dependent vs independent P < .001), and age (P = .03) were significantly associated with prolonged length of stay.

FDP04202082_T5

Discussion

Otolaryngology residency training is designed to educate future otolaryngologists through hands-on learning, adequate feedback, and supervision.1 Although this exposure is paramount for resident education, balancing appropriate supervision and autonomy while mitigating patient risk has been difficult. Numerous non-VA studies have reviewed the impact of resident participation on patient outcomes in various specialties, ranging from a single institution to the National Surgical Quality Improvement Program (NSQIP).4,5,7,22 This study is the first to describe the nationwide impact of resident participation on outcomes in veterans undergoing total laryngectomy.

This study found that resident participation increases operative time and decreases wRVUs generated/operative time without impacting complication rates or patient return to the OR. This reinforces the notion that under close supervision, resident participation does not negatively impact patient outcomes. Resident operative training requires time and dedication by the attending physician and surgical team, thereby increasing operative time. Because VA physician compensation is not linked with productivity as closely as it is in other private and academic settings, surgeons can dedicate more time to operative teaching. This study found that a total laryngectomy involving a junior resident took about 45 minutes longer than an attending physician working alone.

As expected, with longer operative times, the wRVUs generated/operative time ratio was lower in cases with resident participation. Even though resident participation leads to lower OR efficiency, their participation may not significantly impact ancillary costs.23 However, a recent study from NSQIP found an opportunity cost of $60.44 per hour for surgeons operating with a resident in head and neck cases.13

Postoperative complications and mortality are key measures of surgical outcomes in addition to operative time and efficiency. This study found that neither junior nor senior resident participation significantly increased complication rates or patient return to the OR. Despite declining resident involvement and the number of total laryngectomy surgeries in the VA, the complication rate has remained steady. The 30-day mortality rate was significantly higher in cases involving senior residents compared to cases with attending physicians alone. This could be a result of senior resident participation in more challenging cases, such as laryngectomies performed as salvage surgery following radiation. Residents are more often involved in cases with greater complexity at teaching institutions.24-26 Therefore, the higher mortality seen among laryngectomies with senior resident involvement is likely due to the higher complexity of those cases.

The proportion of resident involvement in laryngectomies at VA medical centers has been decreasing over time. Due to the single payer nature of the VA health care system and the number of complex and comorbid patients, the VA offers an invaluable space for resident education in the OR. The fact that less than half of laryngectomies in 2021 involved resident participation is noteworthy for residency training programs. As wRVU compensation models evolve, VA attending surgeons may face less pressure to move the case along, leading to a high potential for operative teaching. Therefore, complex cases, such as laryngectomies, are often ideal for resident participation in the VA.

The steady decline in total laryngectomies at the VA parallels the recent decrease seen in non-VA settings.20 This is due in part to the use of larynx-preserving treatment modalities for laryngeal cancer as well as decreases in the incidence of laryngeal cancer due to population level changes in smoking behaviors. 18,19 Although a laryngectomy is not a key indicator case as determined by the Accreditation Council for Graduate Medical Education, it is important for otolaryngology residents to be exposed to these cases and have a thorough understanding of the operative technique.27 Total laryngectomy was selected for this study because it is a complex and time-consuming surgery with somewhat standardized surgical steps. Unlike microvascular surgery that is very rarely performed by an attending physician alone, laryngectomies can be performed by attending physicians alone or with a resident.28

Limitations

Since this was a retrospective study, it was susceptible to errors in data entry and data extraction from the VASQIP database. Another limitation is the lack of preoperative treatment data on tumor stage and prior nonoperative treatment. For example, a salvage laryngectomy after treatment with radiation and/or chemoradiation is a higher risk procedure than an upfront laryngectomy. Senior resident involvement may be more common in patients undergoing salvage laryngectomy due to the high risk of postoperative fistula and other complications. This may have contributed to the association identified between senior resident participation and 30-day mortality.

Since we could not account for residents who took research years or were fellows, a senior resident may have been mislabeled as a junior resident or vice versa. However, because most research years occur following the third year of residency. We are confident that PGY-1, PGY-2, and PGY-3 is likely to capture junior residents. Other factors, such as coattending surgeon cases, medical student assistance, and fellow involvement may have also impacted the results of this study.

Conclusions

This study is the first to investigate the impact of resident participation on operative time, wRVUs generated, and complication rates in head and neck surgery at VA medical centers. It found that resident participation in total laryngectomies among veterans increased operative time and reduced wRVUs generated per hour but did not impact complication rate or patient return to the OR. The VA offers a unique and invaluable space for resident education and operative training, and the recent decline in resident participation among laryngectomies is important for residency programs to acknowledge and potentially address moving forward.

In contrast to oral cavity resections which can vary from partial glossectomies to composite resections, laryngectomy represents a homogenous procedure from which to draw meaningful conclusions about complication rates, operative time, and outcome. Future directions should include studying other types of head and neck surgery in the VA to determine whether the impact of resident participation mirrors the findings of this study.

References
  1. Chung RS. How much time do surgical residents need to learn operative surgery? Am J Surg. 2005;190(3):351-353. doi:10.1016/j.amjsurg.2005.06.035
  2. S, Darzi A. Defining quality in surgical training: perceptions of the profession. Am J Surg. 2014;207(4):628-636. doi:10.1016/j.amjsurg.2013.07.044
  3. Bhatti NI, Ahmed A, Choi SS. Identifying quality indicators of surgical of surgical training: a national survey. Laryngoscope. 2015;125(12):2685-2689. doi:10.1002/lary.25262
  4. Abt NB, Reh DD, Eisele DW, Francis HW, Gourin CG. Does resident participation influence otolaryngology-head and neck surgery morbidity and mortality? Laryngoscope. 2016;126(10):2263-2269. doi:10.1002/lary.25973
  5. Jubbal KT, Chang D, Izaddoost SA, Pederson W, Zavlin D, Echo A. Resident involvement in microsurgery: an American College of Surgeons national surgical quality improvement program analysis. J Surg Educ. 2017;74(6):1124-1132. doi:10.1016/j.jsurg.2017.05.017
  6. Kshirsagar RS, Chandy Z, Mahboubi H, Verma SP. Does resident involvement in thyroid surgery lead to increased postoperative complications? Laryngoscope. 2017;127(5):1242-1246. doi:10.1002/lary.26176
  7. Vieira BL, Hernandez DJ, Qin C, Smith SS, Kim JY, Dutra JC. The impact of resident involvement on otolaryngology surgical outcomes. Laryngoscope. 2016;126(3):602-607. doi:10.1002/lary.25046
  8. Advani V, Ahad S, Gonczy C, Markwell S, Hassan I. Does resident involvement effect surgical times and complication rates during laparoscopic appendectomy for uncomplicated appendicitis? An analysis of 16,849 cases from the ACS-NSQIP. Am J Surg. 2012;203(3):347-352. doi:10.1016/j.amjsurg.2011.08.015
  9. Quinn NA, Alt JA, Ashby S, Orlandi RR. Time, resident involvement, and supply drive cost variability in septoplasty with turbinate reduction. Otolaryngol Head Neck Surg. 2018;159(2):310-314. doi:10.1177/0194599818765099
  10. Leader BA, Wiebracht ND, Meinzen-Derr J, Ishman SL. The impact of resident involvement on tonsillectomy outcomes and surgical time. Laryngoscope. 2020;130(10):2481-2486. doi:10.1002/lary.28427
  11. Muelleman T, Shew M, Muelleman RJ, et al. Impact of resident participation on operative time and outcomes in otologic surgery. Otolaryngol Head Neck Surg. 2018;158(1):151-154. doi:10.1177/0194599817737270
  12. Puram SV, Kozin ED, Sethi R, et al. Impact of resident surgeons on procedure length based on common pediatric otolaryngology cases. Laryngoscope. 2015;125(4):991 -997. doi:10.1002/lary.24912
  13. Chow MS, Gordon AJ, Talwar A, Lydiatt WM, Yueh B, Givi B. The RVU compensation model and head and neck surgical education. Laryngoscope. 2024;134(1):113-119. doi:10.1002/lary.30807
  14. Papandria D, Rhee D, Ortega G, et al. Assessing trainee impact on operative time for common general surgical procedures in ACS-NSQIP. J Surg Educ. 2012;69(2):149-155. doi:10.1016/j.jsurg.2011.08.003
  15. Pugely AJ, Gao Y, Martin CT, Callagh JJ, Weinstein SL, Marsh JL. The effect of resident participation on short-term outcomes after orthopaedic surgery. Clin Orthop Relat Res. 2014;472(7):2290-2300. doi:10.1007/s11999-014-3567-0
  16. Hosler MR, Scott IU, Kunselman AR, Wolford KR, Oltra EZ, Murray WB. Impact of resident participation in cataract surgery on operative time and cost. Ophthalmology. 2012;119(1):95-98. doi:10.1016/j.ophtha.2011.06.026
  17. Lanigan A, Spaw M, Donaghe C, Brennan J. The impact of the Veteran’s Affairs medical system on an otolaryngology residency training program. Mil Med. 2018;183(11-12):e671-e675. doi:10.1093/milmed/usy041
  18. American Society of Clinical Oncology, Pfister DG, Laurie SA, et al. American Society of Clinical Oncology clinical practice guideline for the use of larynx-preservation strategies in the treatment of laryngeal cancer. J Clin Oncol. 2006;24(22):3693-3704. doi:10.1200/JCO.2006.07.4559
  19. Forastiere AA, Ismaila N, Lewin JS, et al. Use of larynxpreservation strategies in the treatment of laryngeal cancer: American Society of Clinical Oncology clinical practice guideline update. J Clin Oncol. 2018;36(11):1143-1169. doi:10.1200/JCO.2017.75.7385
  20. Verma SP, Mahboubi H. The changing landscape of total laryngectomy surgery. Otolaryngol Head Neck Surg. 2014;150(3):413-418. doi:10.1177/0194599813514515
  21. Habermann EB, Harris AHS, Giori NJ. Large surgical databases with direct data abstraction: VASQIP and ACSNSQIP. J Bone Joint Surg Am. 2022;104(suppl 3):9-14. doi:10.2106/JBJS.22.00596
  22. Benito DA, Mamidi I, Pasick LJ, et al. Evaluating resident involvement and the ‘July effect’ in parotidectomy. J Laryngol Otol. 2021;135(5):452-457. doi:10.1017/S0022215121000578
  23. Hwang CS, Wichterman KA, Alfrey EJ. The cost of resident education. J Surg Res. 2010;163(1):18-23. doi:10.1016/j.jss.2010.03.013
  24. Saliba AN, Taher AT, Tamim H, et al. Impact of resident involvement in surgery (IRIS-NSQIP): looking at the bigger picture based on the American College of Surgeons- NSQIP database. J Am Coll Surg. 2016; 222(1):30-40. doi:10.1016/j.jamcollsurg.2015.10.011
  25. Khuri SF, Najjar SF, Daley J, et al. Comparison of surgical outcomes between teaching and nonteaching hospitals in the Department of Veterans Affairs. Ann Surg. 2001;234(3):370-383. doi:10.1097/00000658-200109000-00011
  26. Relles DM, Burkhart RA, Pucci MJ et al. Does resident experience affect outcomes in complex abdominal surgery? Pancreaticoduodenectomy as an example. J Gastrointest Surg. 2014;18(2):279-285. doi:10.1007/s11605-013-2372-5
  27. Accreditation Council for Graduate Medical Education. Required minimum number of key indicator procedures for graduating residents. June 2019. Accessed January 2, 2025. https://www.acgme.org/globalassets/pfassets/programresources/280_core_case_log_minimums.pdf
  28. Brady JS, Crippen MM, Filimonov A, et al. The effect of training level on complications after free flap surgery of the head and neck. Am J Otolaryngol. 2017;38(5):560-564. doi:10.1016/j.amjoto.2017.06.001
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John Andersona; Xue Geng, MSb; Jessica H. Maxwell, MD, MPHc,d

Author disclosures: The authors report no actual or potential conflicts of interest with regard to this article.

Author affiliationsL
aGeorgetown University, Washington, District of Columbia
bMedStar Georgetown University Hospital, Washington, District of Columbia
cUniversity of Pittsburgh Medical Center, Pennsylvania
dVeterans Affairs Pittsburgh Healthcare System, Pennsylvania

Correspondence: Jessica Maxwell ([email protected])

Fed Pract. 2025;42(2). Published online February 15. doi:10.12788/fp.0550

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John Andersona; Xue Geng, MSb; Jessica H. Maxwell, MD, MPHc,d

Author disclosures: The authors report no actual or potential conflicts of interest with regard to this article.

Author affiliationsL
aGeorgetown University, Washington, District of Columbia
bMedStar Georgetown University Hospital, Washington, District of Columbia
cUniversity of Pittsburgh Medical Center, Pennsylvania
dVeterans Affairs Pittsburgh Healthcare System, Pennsylvania

Correspondence: Jessica Maxwell ([email protected])

Fed Pract. 2025;42(2). Published online February 15. doi:10.12788/fp.0550

Author and Disclosure Information

John Andersona; Xue Geng, MSb; Jessica H. Maxwell, MD, MPHc,d

Author disclosures: The authors report no actual or potential conflicts of interest with regard to this article.

Author affiliationsL
aGeorgetown University, Washington, District of Columbia
bMedStar Georgetown University Hospital, Washington, District of Columbia
cUniversity of Pittsburgh Medical Center, Pennsylvania
dVeterans Affairs Pittsburgh Healthcare System, Pennsylvania

Correspondence: Jessica Maxwell ([email protected])

Fed Pract. 2025;42(2). Published online February 15. doi:10.12788/fp.0550

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Article PDF

The US Department of Veterans Affairs (VA) has been integral in resident training. Resident surgical training requires a balance of supervision and autonomy, along with procedure repetition and appropriate feedback.1-3 Non-VA research has found that resident participation across various otolaryngology procedures, including thyroidectomy, neck dissection, and laryngectomy, does not increase patient morbidity.4-7 However, resident involvement in private and academic settings that included nonhead and neck procedures was linked to increased operative time and reduced productivity, as determined by work relative value units (wRVUs).7-13 This has also been identified in other specialties, including general surgery, orthopedics, and ophthalmology.14-16

Unlike the private sector, surgeon compensation at the VA is not as closely linked to operative productivity, offering a unique setting for resident training. While VA integration in otolaryngology residency programs increases resident case numbers, particularly in head and neck cases, the impact on VA patient outcomes and productivity is unknown.17 The use of larynxpreserving treatment modalities for laryngeal cancer has led to a decline in the number of total laryngectomies performed, which could potentially impact resident operative training for laryngectomies.18-20

This study sought to determine the impact of resident participation on operative time, wRVUs, and patient outcomes in veterans who underwent a total laryngectomy. This study was reviewed and approved by the MedStar Georgetown University Hospital Institutional Review Board and Research and Development Committee (#1595672).

Methods

A retrospective cohort of veterans nationwide who underwent total laryngectomy between 2001 and 2021, with or without neck dissection, was identified from the Veterans Affairs Surgical Quality Improvement Program (VASQIP). Data were extracted via the VA Informatics and Computing Infrastructure and patients were included based on Current Procedural Terminology codes for total laryngectomy, with or without neck dissection (31320, 31360, 31365). Laryngopharyngectomies, partial laryngectomies, and minimally invasive laryngectomies were excluded. VASQIP nurse data managers reviewed patient data for operative data, postoperative outcomes (including 30- day morbidity and mortality), and preoperative risk factors (Appendix).21

The VASQIP data provide the highest resident or postgraduate year (PGY) per surgery. PGY 1, 2, and 3 were considered junior residents and PGY ≥4, surgical fellows, and individuals who took research years during residency were considered senior residents. Cases performed by attending physicians alone were compared with those involving junior or senior residents.

Patient demographic data included age, body mass index, smoking and alcohol use, weight loss, and functional status. Consumption of any tobacco products within 12 months of surgery was considered tobacco use. Drinking on average ≥2 alcoholic beverages daily was considered alcohol use. Weight loss was defined as a 10% reduction in body weight within the 6 months before surgery, excluding patients enrolled in a weight loss program. Functional status was categorized as independent, partially dependent, totally dependent, and unknown.

Primary outcomes included operative time, wRVUs generated, and wRVUs generated per hour of operative time. Postoperative complications were recorded both as a continuous variable and as a binary variable for presence or absence of a complication. Additional outcome variables included length of postoperative hospital stay, return to the operating room (OR), and death within 30 days of surgery.

Statistical Analysis

Data were summarized using frequency and percentage for categorical variables and median with IQR for continuous variables. Data were also summarized based on resident involvement in the surgery and the PGY level of the residents involved. The occurrence of total laryngectomy, rate of complications, and patient return to the OR were summarized by year.

Univariate associations between resident involvement and surgical outcomes were analyzed using the Kruskal-Wallis test for continuous variables and the ÷2 test for categorical variables. A Fisher exact test was used when the cell count in the contingency table was < 5. The univariate associations between surgical outcomes and demographic/preoperative variables were examined using 2-sided Wilcoxon ranksum tests or Kruskal-Wallis tests between continuous variables and categorical variables, X2 or Fisher exact test between 2 categorical variables, and 2-sided Spearman correlation test between 2 continuous variables. A false-discovery rate approach was used for simultaneous posthoc tests to determine the adjusted P values for wRVUs generated/operative time for attending physicians alone vs with junior residents and for attending physicians alone vs with senior residents. Models were used to evaluate the effects of resident involvement on surgical outcomes, adjusting for variables that showed significant univariate associations. Linear regression models were used for operative time, wRVUs generated, wRVUs generated/operative time, and length of postoperative stay. A logistic regression model was used for death within 30 days. Models were not built for postoperative complications or patient return to the OR, as these were only statistically significantly associated with the patient’s preoperative functional status. A finding was considered significant if P < .05. All analyses were performed using statistical software RStudio Version 2023.03.0.

Results

Between 2001 and 2021, 1857 patients who underwent total laryngectomy were identified from the VASQIP database nationwide. Most of the total laryngectomies were staffed by an attending physician with a senior resident (n = 1190, 64%), 446 (24%) were conducted by the attending physician alone, and 221 (12%) by an attending physician with a junior resident (Table 1). The mean operating time for an attending physician alone was 378 minutes, 384 minutes for an attending physician with a senior resident, and 432 minutes for an attending physician with a junior resident (Table 2). There was a statistically significant increase in operating time for laryngectomies with resident participation compared to attending physicians operating alone (P < .001).

FDP04202082_T1FDP04202082_T2

When the wRVUs generated/operative time was analyzed, there was a statistically significant difference between comparison groups. Total laryngectomies performed by attending physicians alone had the highest wRVUs generated/operative time (5.5), followed by laryngectomies performed by attending physicians with senior residents and laryngectomies performed by attending physicians with junior residents (5.2 and 4.8, respectively; P = .002). Table 3 describes adjusted P values for wRVUs generated/ operative time for total laryngectomies performed by attending physicians alone vs with junior residents (P = .003) and for attending physicians alone vs with senior residents (P = .02). Resident participation in total laryngectomies did not significantly impact the development or number of postoperative complications or the rate of return to the OR.

FDP04202082_T3

The number of laryngectomies performed in a single fiscal year peaked in 2010 at 170 cases (Figure 1). Between 2001 and 2021, the mean rates of postoperative complications (21.3%) and patient return to the OR (14.6%) did not significantly change. Resident participation in total laryngectomies also peaked in 2010 at 89.0% but has significantly declined, falling to a low of 43.6% in 2021 (Figure 2). From 2001 to 2011, the mean resident participation rate in total laryngectomies was 80.6%, compared with 68.3% from 2012 to 2021 (P < .001).

FDP04202082_F1FDP04202082_F2

The effect of various demographic and preoperative characteristics on surgical outcomes was also analyzed. A linear regression model accounted for each variable significantly associated with operative time. On multivariable analysis, when all other variables were held constant, Table 4 shows the estimated change in operative time based on certain criteria. For instance, the operative time for attendings with junior residents surgeries was 40 minutes longer (95% CI, 16 to 64) than that of attending alone surgeries (P = .001). Furthermore, operative time decreased by 1.1 minutes (95% CI, 0.30 to 2.04) for each 1-year increase in patient age (P = .009).

FDP04202082_T4

A multivariable logistic regression model evaluated the effect of resident involvement on 30-day mortality rates. Senior resident involvement (P = .02), partially dependent functional status (P = .01), totally dependent functional status (P < .001), and advanced age (P = .02) all were significantly associated with 30-day mortality (Table 5). When other variables remained constant, the odds of death for totally dependent patients were 10.4 times higher than that of patients with independent functional status. Thus, totally dependent functional status appeared to have a greater impact on this outcome than resident participation. The linear regression model for postoperative length of stay demonstrated that senior resident involvement (P = .04), functional status (partially dependent vs independent P < .001), and age (P = .03) were significantly associated with prolonged length of stay.

FDP04202082_T5

Discussion

Otolaryngology residency training is designed to educate future otolaryngologists through hands-on learning, adequate feedback, and supervision.1 Although this exposure is paramount for resident education, balancing appropriate supervision and autonomy while mitigating patient risk has been difficult. Numerous non-VA studies have reviewed the impact of resident participation on patient outcomes in various specialties, ranging from a single institution to the National Surgical Quality Improvement Program (NSQIP).4,5,7,22 This study is the first to describe the nationwide impact of resident participation on outcomes in veterans undergoing total laryngectomy.

This study found that resident participation increases operative time and decreases wRVUs generated/operative time without impacting complication rates or patient return to the OR. This reinforces the notion that under close supervision, resident participation does not negatively impact patient outcomes. Resident operative training requires time and dedication by the attending physician and surgical team, thereby increasing operative time. Because VA physician compensation is not linked with productivity as closely as it is in other private and academic settings, surgeons can dedicate more time to operative teaching. This study found that a total laryngectomy involving a junior resident took about 45 minutes longer than an attending physician working alone.

As expected, with longer operative times, the wRVUs generated/operative time ratio was lower in cases with resident participation. Even though resident participation leads to lower OR efficiency, their participation may not significantly impact ancillary costs.23 However, a recent study from NSQIP found an opportunity cost of $60.44 per hour for surgeons operating with a resident in head and neck cases.13

Postoperative complications and mortality are key measures of surgical outcomes in addition to operative time and efficiency. This study found that neither junior nor senior resident participation significantly increased complication rates or patient return to the OR. Despite declining resident involvement and the number of total laryngectomy surgeries in the VA, the complication rate has remained steady. The 30-day mortality rate was significantly higher in cases involving senior residents compared to cases with attending physicians alone. This could be a result of senior resident participation in more challenging cases, such as laryngectomies performed as salvage surgery following radiation. Residents are more often involved in cases with greater complexity at teaching institutions.24-26 Therefore, the higher mortality seen among laryngectomies with senior resident involvement is likely due to the higher complexity of those cases.

The proportion of resident involvement in laryngectomies at VA medical centers has been decreasing over time. Due to the single payer nature of the VA health care system and the number of complex and comorbid patients, the VA offers an invaluable space for resident education in the OR. The fact that less than half of laryngectomies in 2021 involved resident participation is noteworthy for residency training programs. As wRVU compensation models evolve, VA attending surgeons may face less pressure to move the case along, leading to a high potential for operative teaching. Therefore, complex cases, such as laryngectomies, are often ideal for resident participation in the VA.

The steady decline in total laryngectomies at the VA parallels the recent decrease seen in non-VA settings.20 This is due in part to the use of larynx-preserving treatment modalities for laryngeal cancer as well as decreases in the incidence of laryngeal cancer due to population level changes in smoking behaviors. 18,19 Although a laryngectomy is not a key indicator case as determined by the Accreditation Council for Graduate Medical Education, it is important for otolaryngology residents to be exposed to these cases and have a thorough understanding of the operative technique.27 Total laryngectomy was selected for this study because it is a complex and time-consuming surgery with somewhat standardized surgical steps. Unlike microvascular surgery that is very rarely performed by an attending physician alone, laryngectomies can be performed by attending physicians alone or with a resident.28

Limitations

Since this was a retrospective study, it was susceptible to errors in data entry and data extraction from the VASQIP database. Another limitation is the lack of preoperative treatment data on tumor stage and prior nonoperative treatment. For example, a salvage laryngectomy after treatment with radiation and/or chemoradiation is a higher risk procedure than an upfront laryngectomy. Senior resident involvement may be more common in patients undergoing salvage laryngectomy due to the high risk of postoperative fistula and other complications. This may have contributed to the association identified between senior resident participation and 30-day mortality.

Since we could not account for residents who took research years or were fellows, a senior resident may have been mislabeled as a junior resident or vice versa. However, because most research years occur following the third year of residency. We are confident that PGY-1, PGY-2, and PGY-3 is likely to capture junior residents. Other factors, such as coattending surgeon cases, medical student assistance, and fellow involvement may have also impacted the results of this study.

Conclusions

This study is the first to investigate the impact of resident participation on operative time, wRVUs generated, and complication rates in head and neck surgery at VA medical centers. It found that resident participation in total laryngectomies among veterans increased operative time and reduced wRVUs generated per hour but did not impact complication rate or patient return to the OR. The VA offers a unique and invaluable space for resident education and operative training, and the recent decline in resident participation among laryngectomies is important for residency programs to acknowledge and potentially address moving forward.

In contrast to oral cavity resections which can vary from partial glossectomies to composite resections, laryngectomy represents a homogenous procedure from which to draw meaningful conclusions about complication rates, operative time, and outcome. Future directions should include studying other types of head and neck surgery in the VA to determine whether the impact of resident participation mirrors the findings of this study.

The US Department of Veterans Affairs (VA) has been integral in resident training. Resident surgical training requires a balance of supervision and autonomy, along with procedure repetition and appropriate feedback.1-3 Non-VA research has found that resident participation across various otolaryngology procedures, including thyroidectomy, neck dissection, and laryngectomy, does not increase patient morbidity.4-7 However, resident involvement in private and academic settings that included nonhead and neck procedures was linked to increased operative time and reduced productivity, as determined by work relative value units (wRVUs).7-13 This has also been identified in other specialties, including general surgery, orthopedics, and ophthalmology.14-16

Unlike the private sector, surgeon compensation at the VA is not as closely linked to operative productivity, offering a unique setting for resident training. While VA integration in otolaryngology residency programs increases resident case numbers, particularly in head and neck cases, the impact on VA patient outcomes and productivity is unknown.17 The use of larynxpreserving treatment modalities for laryngeal cancer has led to a decline in the number of total laryngectomies performed, which could potentially impact resident operative training for laryngectomies.18-20

This study sought to determine the impact of resident participation on operative time, wRVUs, and patient outcomes in veterans who underwent a total laryngectomy. This study was reviewed and approved by the MedStar Georgetown University Hospital Institutional Review Board and Research and Development Committee (#1595672).

Methods

A retrospective cohort of veterans nationwide who underwent total laryngectomy between 2001 and 2021, with or without neck dissection, was identified from the Veterans Affairs Surgical Quality Improvement Program (VASQIP). Data were extracted via the VA Informatics and Computing Infrastructure and patients were included based on Current Procedural Terminology codes for total laryngectomy, with or without neck dissection (31320, 31360, 31365). Laryngopharyngectomies, partial laryngectomies, and minimally invasive laryngectomies were excluded. VASQIP nurse data managers reviewed patient data for operative data, postoperative outcomes (including 30- day morbidity and mortality), and preoperative risk factors (Appendix).21

The VASQIP data provide the highest resident or postgraduate year (PGY) per surgery. PGY 1, 2, and 3 were considered junior residents and PGY ≥4, surgical fellows, and individuals who took research years during residency were considered senior residents. Cases performed by attending physicians alone were compared with those involving junior or senior residents.

Patient demographic data included age, body mass index, smoking and alcohol use, weight loss, and functional status. Consumption of any tobacco products within 12 months of surgery was considered tobacco use. Drinking on average ≥2 alcoholic beverages daily was considered alcohol use. Weight loss was defined as a 10% reduction in body weight within the 6 months before surgery, excluding patients enrolled in a weight loss program. Functional status was categorized as independent, partially dependent, totally dependent, and unknown.

Primary outcomes included operative time, wRVUs generated, and wRVUs generated per hour of operative time. Postoperative complications were recorded both as a continuous variable and as a binary variable for presence or absence of a complication. Additional outcome variables included length of postoperative hospital stay, return to the operating room (OR), and death within 30 days of surgery.

Statistical Analysis

Data were summarized using frequency and percentage for categorical variables and median with IQR for continuous variables. Data were also summarized based on resident involvement in the surgery and the PGY level of the residents involved. The occurrence of total laryngectomy, rate of complications, and patient return to the OR were summarized by year.

Univariate associations between resident involvement and surgical outcomes were analyzed using the Kruskal-Wallis test for continuous variables and the ÷2 test for categorical variables. A Fisher exact test was used when the cell count in the contingency table was < 5. The univariate associations between surgical outcomes and demographic/preoperative variables were examined using 2-sided Wilcoxon ranksum tests or Kruskal-Wallis tests between continuous variables and categorical variables, X2 or Fisher exact test between 2 categorical variables, and 2-sided Spearman correlation test between 2 continuous variables. A false-discovery rate approach was used for simultaneous posthoc tests to determine the adjusted P values for wRVUs generated/operative time for attending physicians alone vs with junior residents and for attending physicians alone vs with senior residents. Models were used to evaluate the effects of resident involvement on surgical outcomes, adjusting for variables that showed significant univariate associations. Linear regression models were used for operative time, wRVUs generated, wRVUs generated/operative time, and length of postoperative stay. A logistic regression model was used for death within 30 days. Models were not built for postoperative complications or patient return to the OR, as these were only statistically significantly associated with the patient’s preoperative functional status. A finding was considered significant if P < .05. All analyses were performed using statistical software RStudio Version 2023.03.0.

Results

Between 2001 and 2021, 1857 patients who underwent total laryngectomy were identified from the VASQIP database nationwide. Most of the total laryngectomies were staffed by an attending physician with a senior resident (n = 1190, 64%), 446 (24%) were conducted by the attending physician alone, and 221 (12%) by an attending physician with a junior resident (Table 1). The mean operating time for an attending physician alone was 378 minutes, 384 minutes for an attending physician with a senior resident, and 432 minutes for an attending physician with a junior resident (Table 2). There was a statistically significant increase in operating time for laryngectomies with resident participation compared to attending physicians operating alone (P < .001).

FDP04202082_T1FDP04202082_T2

When the wRVUs generated/operative time was analyzed, there was a statistically significant difference between comparison groups. Total laryngectomies performed by attending physicians alone had the highest wRVUs generated/operative time (5.5), followed by laryngectomies performed by attending physicians with senior residents and laryngectomies performed by attending physicians with junior residents (5.2 and 4.8, respectively; P = .002). Table 3 describes adjusted P values for wRVUs generated/ operative time for total laryngectomies performed by attending physicians alone vs with junior residents (P = .003) and for attending physicians alone vs with senior residents (P = .02). Resident participation in total laryngectomies did not significantly impact the development or number of postoperative complications or the rate of return to the OR.

FDP04202082_T3

The number of laryngectomies performed in a single fiscal year peaked in 2010 at 170 cases (Figure 1). Between 2001 and 2021, the mean rates of postoperative complications (21.3%) and patient return to the OR (14.6%) did not significantly change. Resident participation in total laryngectomies also peaked in 2010 at 89.0% but has significantly declined, falling to a low of 43.6% in 2021 (Figure 2). From 2001 to 2011, the mean resident participation rate in total laryngectomies was 80.6%, compared with 68.3% from 2012 to 2021 (P < .001).

FDP04202082_F1FDP04202082_F2

The effect of various demographic and preoperative characteristics on surgical outcomes was also analyzed. A linear regression model accounted for each variable significantly associated with operative time. On multivariable analysis, when all other variables were held constant, Table 4 shows the estimated change in operative time based on certain criteria. For instance, the operative time for attendings with junior residents surgeries was 40 minutes longer (95% CI, 16 to 64) than that of attending alone surgeries (P = .001). Furthermore, operative time decreased by 1.1 minutes (95% CI, 0.30 to 2.04) for each 1-year increase in patient age (P = .009).

FDP04202082_T4

A multivariable logistic regression model evaluated the effect of resident involvement on 30-day mortality rates. Senior resident involvement (P = .02), partially dependent functional status (P = .01), totally dependent functional status (P < .001), and advanced age (P = .02) all were significantly associated with 30-day mortality (Table 5). When other variables remained constant, the odds of death for totally dependent patients were 10.4 times higher than that of patients with independent functional status. Thus, totally dependent functional status appeared to have a greater impact on this outcome than resident participation. The linear regression model for postoperative length of stay demonstrated that senior resident involvement (P = .04), functional status (partially dependent vs independent P < .001), and age (P = .03) were significantly associated with prolonged length of stay.

FDP04202082_T5

Discussion

Otolaryngology residency training is designed to educate future otolaryngologists through hands-on learning, adequate feedback, and supervision.1 Although this exposure is paramount for resident education, balancing appropriate supervision and autonomy while mitigating patient risk has been difficult. Numerous non-VA studies have reviewed the impact of resident participation on patient outcomes in various specialties, ranging from a single institution to the National Surgical Quality Improvement Program (NSQIP).4,5,7,22 This study is the first to describe the nationwide impact of resident participation on outcomes in veterans undergoing total laryngectomy.

This study found that resident participation increases operative time and decreases wRVUs generated/operative time without impacting complication rates or patient return to the OR. This reinforces the notion that under close supervision, resident participation does not negatively impact patient outcomes. Resident operative training requires time and dedication by the attending physician and surgical team, thereby increasing operative time. Because VA physician compensation is not linked with productivity as closely as it is in other private and academic settings, surgeons can dedicate more time to operative teaching. This study found that a total laryngectomy involving a junior resident took about 45 minutes longer than an attending physician working alone.

As expected, with longer operative times, the wRVUs generated/operative time ratio was lower in cases with resident participation. Even though resident participation leads to lower OR efficiency, their participation may not significantly impact ancillary costs.23 However, a recent study from NSQIP found an opportunity cost of $60.44 per hour for surgeons operating with a resident in head and neck cases.13

Postoperative complications and mortality are key measures of surgical outcomes in addition to operative time and efficiency. This study found that neither junior nor senior resident participation significantly increased complication rates or patient return to the OR. Despite declining resident involvement and the number of total laryngectomy surgeries in the VA, the complication rate has remained steady. The 30-day mortality rate was significantly higher in cases involving senior residents compared to cases with attending physicians alone. This could be a result of senior resident participation in more challenging cases, such as laryngectomies performed as salvage surgery following radiation. Residents are more often involved in cases with greater complexity at teaching institutions.24-26 Therefore, the higher mortality seen among laryngectomies with senior resident involvement is likely due to the higher complexity of those cases.

The proportion of resident involvement in laryngectomies at VA medical centers has been decreasing over time. Due to the single payer nature of the VA health care system and the number of complex and comorbid patients, the VA offers an invaluable space for resident education in the OR. The fact that less than half of laryngectomies in 2021 involved resident participation is noteworthy for residency training programs. As wRVU compensation models evolve, VA attending surgeons may face less pressure to move the case along, leading to a high potential for operative teaching. Therefore, complex cases, such as laryngectomies, are often ideal for resident participation in the VA.

The steady decline in total laryngectomies at the VA parallels the recent decrease seen in non-VA settings.20 This is due in part to the use of larynx-preserving treatment modalities for laryngeal cancer as well as decreases in the incidence of laryngeal cancer due to population level changes in smoking behaviors. 18,19 Although a laryngectomy is not a key indicator case as determined by the Accreditation Council for Graduate Medical Education, it is important for otolaryngology residents to be exposed to these cases and have a thorough understanding of the operative technique.27 Total laryngectomy was selected for this study because it is a complex and time-consuming surgery with somewhat standardized surgical steps. Unlike microvascular surgery that is very rarely performed by an attending physician alone, laryngectomies can be performed by attending physicians alone or with a resident.28

Limitations

Since this was a retrospective study, it was susceptible to errors in data entry and data extraction from the VASQIP database. Another limitation is the lack of preoperative treatment data on tumor stage and prior nonoperative treatment. For example, a salvage laryngectomy after treatment with radiation and/or chemoradiation is a higher risk procedure than an upfront laryngectomy. Senior resident involvement may be more common in patients undergoing salvage laryngectomy due to the high risk of postoperative fistula and other complications. This may have contributed to the association identified between senior resident participation and 30-day mortality.

Since we could not account for residents who took research years or were fellows, a senior resident may have been mislabeled as a junior resident or vice versa. However, because most research years occur following the third year of residency. We are confident that PGY-1, PGY-2, and PGY-3 is likely to capture junior residents. Other factors, such as coattending surgeon cases, medical student assistance, and fellow involvement may have also impacted the results of this study.

Conclusions

This study is the first to investigate the impact of resident participation on operative time, wRVUs generated, and complication rates in head and neck surgery at VA medical centers. It found that resident participation in total laryngectomies among veterans increased operative time and reduced wRVUs generated per hour but did not impact complication rate or patient return to the OR. The VA offers a unique and invaluable space for resident education and operative training, and the recent decline in resident participation among laryngectomies is important for residency programs to acknowledge and potentially address moving forward.

In contrast to oral cavity resections which can vary from partial glossectomies to composite resections, laryngectomy represents a homogenous procedure from which to draw meaningful conclusions about complication rates, operative time, and outcome. Future directions should include studying other types of head and neck surgery in the VA to determine whether the impact of resident participation mirrors the findings of this study.

References
  1. Chung RS. How much time do surgical residents need to learn operative surgery? Am J Surg. 2005;190(3):351-353. doi:10.1016/j.amjsurg.2005.06.035
  2. S, Darzi A. Defining quality in surgical training: perceptions of the profession. Am J Surg. 2014;207(4):628-636. doi:10.1016/j.amjsurg.2013.07.044
  3. Bhatti NI, Ahmed A, Choi SS. Identifying quality indicators of surgical of surgical training: a national survey. Laryngoscope. 2015;125(12):2685-2689. doi:10.1002/lary.25262
  4. Abt NB, Reh DD, Eisele DW, Francis HW, Gourin CG. Does resident participation influence otolaryngology-head and neck surgery morbidity and mortality? Laryngoscope. 2016;126(10):2263-2269. doi:10.1002/lary.25973
  5. Jubbal KT, Chang D, Izaddoost SA, Pederson W, Zavlin D, Echo A. Resident involvement in microsurgery: an American College of Surgeons national surgical quality improvement program analysis. J Surg Educ. 2017;74(6):1124-1132. doi:10.1016/j.jsurg.2017.05.017
  6. Kshirsagar RS, Chandy Z, Mahboubi H, Verma SP. Does resident involvement in thyroid surgery lead to increased postoperative complications? Laryngoscope. 2017;127(5):1242-1246. doi:10.1002/lary.26176
  7. Vieira BL, Hernandez DJ, Qin C, Smith SS, Kim JY, Dutra JC. The impact of resident involvement on otolaryngology surgical outcomes. Laryngoscope. 2016;126(3):602-607. doi:10.1002/lary.25046
  8. Advani V, Ahad S, Gonczy C, Markwell S, Hassan I. Does resident involvement effect surgical times and complication rates during laparoscopic appendectomy for uncomplicated appendicitis? An analysis of 16,849 cases from the ACS-NSQIP. Am J Surg. 2012;203(3):347-352. doi:10.1016/j.amjsurg.2011.08.015
  9. Quinn NA, Alt JA, Ashby S, Orlandi RR. Time, resident involvement, and supply drive cost variability in septoplasty with turbinate reduction. Otolaryngol Head Neck Surg. 2018;159(2):310-314. doi:10.1177/0194599818765099
  10. Leader BA, Wiebracht ND, Meinzen-Derr J, Ishman SL. The impact of resident involvement on tonsillectomy outcomes and surgical time. Laryngoscope. 2020;130(10):2481-2486. doi:10.1002/lary.28427
  11. Muelleman T, Shew M, Muelleman RJ, et al. Impact of resident participation on operative time and outcomes in otologic surgery. Otolaryngol Head Neck Surg. 2018;158(1):151-154. doi:10.1177/0194599817737270
  12. Puram SV, Kozin ED, Sethi R, et al. Impact of resident surgeons on procedure length based on common pediatric otolaryngology cases. Laryngoscope. 2015;125(4):991 -997. doi:10.1002/lary.24912
  13. Chow MS, Gordon AJ, Talwar A, Lydiatt WM, Yueh B, Givi B. The RVU compensation model and head and neck surgical education. Laryngoscope. 2024;134(1):113-119. doi:10.1002/lary.30807
  14. Papandria D, Rhee D, Ortega G, et al. Assessing trainee impact on operative time for common general surgical procedures in ACS-NSQIP. J Surg Educ. 2012;69(2):149-155. doi:10.1016/j.jsurg.2011.08.003
  15. Pugely AJ, Gao Y, Martin CT, Callagh JJ, Weinstein SL, Marsh JL. The effect of resident participation on short-term outcomes after orthopaedic surgery. Clin Orthop Relat Res. 2014;472(7):2290-2300. doi:10.1007/s11999-014-3567-0
  16. Hosler MR, Scott IU, Kunselman AR, Wolford KR, Oltra EZ, Murray WB. Impact of resident participation in cataract surgery on operative time and cost. Ophthalmology. 2012;119(1):95-98. doi:10.1016/j.ophtha.2011.06.026
  17. Lanigan A, Spaw M, Donaghe C, Brennan J. The impact of the Veteran’s Affairs medical system on an otolaryngology residency training program. Mil Med. 2018;183(11-12):e671-e675. doi:10.1093/milmed/usy041
  18. American Society of Clinical Oncology, Pfister DG, Laurie SA, et al. American Society of Clinical Oncology clinical practice guideline for the use of larynx-preservation strategies in the treatment of laryngeal cancer. J Clin Oncol. 2006;24(22):3693-3704. doi:10.1200/JCO.2006.07.4559
  19. Forastiere AA, Ismaila N, Lewin JS, et al. Use of larynxpreservation strategies in the treatment of laryngeal cancer: American Society of Clinical Oncology clinical practice guideline update. J Clin Oncol. 2018;36(11):1143-1169. doi:10.1200/JCO.2017.75.7385
  20. Verma SP, Mahboubi H. The changing landscape of total laryngectomy surgery. Otolaryngol Head Neck Surg. 2014;150(3):413-418. doi:10.1177/0194599813514515
  21. Habermann EB, Harris AHS, Giori NJ. Large surgical databases with direct data abstraction: VASQIP and ACSNSQIP. J Bone Joint Surg Am. 2022;104(suppl 3):9-14. doi:10.2106/JBJS.22.00596
  22. Benito DA, Mamidi I, Pasick LJ, et al. Evaluating resident involvement and the ‘July effect’ in parotidectomy. J Laryngol Otol. 2021;135(5):452-457. doi:10.1017/S0022215121000578
  23. Hwang CS, Wichterman KA, Alfrey EJ. The cost of resident education. J Surg Res. 2010;163(1):18-23. doi:10.1016/j.jss.2010.03.013
  24. Saliba AN, Taher AT, Tamim H, et al. Impact of resident involvement in surgery (IRIS-NSQIP): looking at the bigger picture based on the American College of Surgeons- NSQIP database. J Am Coll Surg. 2016; 222(1):30-40. doi:10.1016/j.jamcollsurg.2015.10.011
  25. Khuri SF, Najjar SF, Daley J, et al. Comparison of surgical outcomes between teaching and nonteaching hospitals in the Department of Veterans Affairs. Ann Surg. 2001;234(3):370-383. doi:10.1097/00000658-200109000-00011
  26. Relles DM, Burkhart RA, Pucci MJ et al. Does resident experience affect outcomes in complex abdominal surgery? Pancreaticoduodenectomy as an example. J Gastrointest Surg. 2014;18(2):279-285. doi:10.1007/s11605-013-2372-5
  27. Accreditation Council for Graduate Medical Education. Required minimum number of key indicator procedures for graduating residents. June 2019. Accessed January 2, 2025. https://www.acgme.org/globalassets/pfassets/programresources/280_core_case_log_minimums.pdf
  28. Brady JS, Crippen MM, Filimonov A, et al. The effect of training level on complications after free flap surgery of the head and neck. Am J Otolaryngol. 2017;38(5):560-564. doi:10.1016/j.amjoto.2017.06.001
References
  1. Chung RS. How much time do surgical residents need to learn operative surgery? Am J Surg. 2005;190(3):351-353. doi:10.1016/j.amjsurg.2005.06.035
  2. S, Darzi A. Defining quality in surgical training: perceptions of the profession. Am J Surg. 2014;207(4):628-636. doi:10.1016/j.amjsurg.2013.07.044
  3. Bhatti NI, Ahmed A, Choi SS. Identifying quality indicators of surgical of surgical training: a national survey. Laryngoscope. 2015;125(12):2685-2689. doi:10.1002/lary.25262
  4. Abt NB, Reh DD, Eisele DW, Francis HW, Gourin CG. Does resident participation influence otolaryngology-head and neck surgery morbidity and mortality? Laryngoscope. 2016;126(10):2263-2269. doi:10.1002/lary.25973
  5. Jubbal KT, Chang D, Izaddoost SA, Pederson W, Zavlin D, Echo A. Resident involvement in microsurgery: an American College of Surgeons national surgical quality improvement program analysis. J Surg Educ. 2017;74(6):1124-1132. doi:10.1016/j.jsurg.2017.05.017
  6. Kshirsagar RS, Chandy Z, Mahboubi H, Verma SP. Does resident involvement in thyroid surgery lead to increased postoperative complications? Laryngoscope. 2017;127(5):1242-1246. doi:10.1002/lary.26176
  7. Vieira BL, Hernandez DJ, Qin C, Smith SS, Kim JY, Dutra JC. The impact of resident involvement on otolaryngology surgical outcomes. Laryngoscope. 2016;126(3):602-607. doi:10.1002/lary.25046
  8. Advani V, Ahad S, Gonczy C, Markwell S, Hassan I. Does resident involvement effect surgical times and complication rates during laparoscopic appendectomy for uncomplicated appendicitis? An analysis of 16,849 cases from the ACS-NSQIP. Am J Surg. 2012;203(3):347-352. doi:10.1016/j.amjsurg.2011.08.015
  9. Quinn NA, Alt JA, Ashby S, Orlandi RR. Time, resident involvement, and supply drive cost variability in septoplasty with turbinate reduction. Otolaryngol Head Neck Surg. 2018;159(2):310-314. doi:10.1177/0194599818765099
  10. Leader BA, Wiebracht ND, Meinzen-Derr J, Ishman SL. The impact of resident involvement on tonsillectomy outcomes and surgical time. Laryngoscope. 2020;130(10):2481-2486. doi:10.1002/lary.28427
  11. Muelleman T, Shew M, Muelleman RJ, et al. Impact of resident participation on operative time and outcomes in otologic surgery. Otolaryngol Head Neck Surg. 2018;158(1):151-154. doi:10.1177/0194599817737270
  12. Puram SV, Kozin ED, Sethi R, et al. Impact of resident surgeons on procedure length based on common pediatric otolaryngology cases. Laryngoscope. 2015;125(4):991 -997. doi:10.1002/lary.24912
  13. Chow MS, Gordon AJ, Talwar A, Lydiatt WM, Yueh B, Givi B. The RVU compensation model and head and neck surgical education. Laryngoscope. 2024;134(1):113-119. doi:10.1002/lary.30807
  14. Papandria D, Rhee D, Ortega G, et al. Assessing trainee impact on operative time for common general surgical procedures in ACS-NSQIP. J Surg Educ. 2012;69(2):149-155. doi:10.1016/j.jsurg.2011.08.003
  15. Pugely AJ, Gao Y, Martin CT, Callagh JJ, Weinstein SL, Marsh JL. The effect of resident participation on short-term outcomes after orthopaedic surgery. Clin Orthop Relat Res. 2014;472(7):2290-2300. doi:10.1007/s11999-014-3567-0
  16. Hosler MR, Scott IU, Kunselman AR, Wolford KR, Oltra EZ, Murray WB. Impact of resident participation in cataract surgery on operative time and cost. Ophthalmology. 2012;119(1):95-98. doi:10.1016/j.ophtha.2011.06.026
  17. Lanigan A, Spaw M, Donaghe C, Brennan J. The impact of the Veteran’s Affairs medical system on an otolaryngology residency training program. Mil Med. 2018;183(11-12):e671-e675. doi:10.1093/milmed/usy041
  18. American Society of Clinical Oncology, Pfister DG, Laurie SA, et al. American Society of Clinical Oncology clinical practice guideline for the use of larynx-preservation strategies in the treatment of laryngeal cancer. J Clin Oncol. 2006;24(22):3693-3704. doi:10.1200/JCO.2006.07.4559
  19. Forastiere AA, Ismaila N, Lewin JS, et al. Use of larynxpreservation strategies in the treatment of laryngeal cancer: American Society of Clinical Oncology clinical practice guideline update. J Clin Oncol. 2018;36(11):1143-1169. doi:10.1200/JCO.2017.75.7385
  20. Verma SP, Mahboubi H. The changing landscape of total laryngectomy surgery. Otolaryngol Head Neck Surg. 2014;150(3):413-418. doi:10.1177/0194599813514515
  21. Habermann EB, Harris AHS, Giori NJ. Large surgical databases with direct data abstraction: VASQIP and ACSNSQIP. J Bone Joint Surg Am. 2022;104(suppl 3):9-14. doi:10.2106/JBJS.22.00596
  22. Benito DA, Mamidi I, Pasick LJ, et al. Evaluating resident involvement and the ‘July effect’ in parotidectomy. J Laryngol Otol. 2021;135(5):452-457. doi:10.1017/S0022215121000578
  23. Hwang CS, Wichterman KA, Alfrey EJ. The cost of resident education. J Surg Res. 2010;163(1):18-23. doi:10.1016/j.jss.2010.03.013
  24. Saliba AN, Taher AT, Tamim H, et al. Impact of resident involvement in surgery (IRIS-NSQIP): looking at the bigger picture based on the American College of Surgeons- NSQIP database. J Am Coll Surg. 2016; 222(1):30-40. doi:10.1016/j.jamcollsurg.2015.10.011
  25. Khuri SF, Najjar SF, Daley J, et al. Comparison of surgical outcomes between teaching and nonteaching hospitals in the Department of Veterans Affairs. Ann Surg. 2001;234(3):370-383. doi:10.1097/00000658-200109000-00011
  26. Relles DM, Burkhart RA, Pucci MJ et al. Does resident experience affect outcomes in complex abdominal surgery? Pancreaticoduodenectomy as an example. J Gastrointest Surg. 2014;18(2):279-285. doi:10.1007/s11605-013-2372-5
  27. Accreditation Council for Graduate Medical Education. Required minimum number of key indicator procedures for graduating residents. June 2019. Accessed January 2, 2025. https://www.acgme.org/globalassets/pfassets/programresources/280_core_case_log_minimums.pdf
  28. Brady JS, Crippen MM, Filimonov A, et al. The effect of training level on complications after free flap surgery of the head and neck. Am J Otolaryngol. 2017;38(5):560-564. doi:10.1016/j.amjoto.2017.06.001
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The Heart Matters: Women Veterans, Cardiovascular Disease, and PTSD

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The Heart Matters: Women Veterans, Cardiovascular Disease, and PTSD

If I can stop one heart from breaking, I shall not live in vain.
Emily Dickinson1

The celebration of Valentine’s Day has made the association of hearts with the month of February almost automatic. There is, though, another commemoration of hearts in the second month of the year with special significance for federal practice: American Heart Month. President Lyndon B. Johnson proclaimed February as American Heart Month in 1964 to raise awareness of the enormous human and economic cost of cardiovascular diseases (CVD) that impact many Americans in their prime.

The Centers for Disease Control and Prevention estimates that 1 in 5 deaths in the United States is due to CVD, which includes coronary artery disease, heart failure, heart attack, and stroke.2 American Heart Month aims to increase public attention to heart disease prevention and promote research to develop better diagnostic treatment methods for the leading cause of death in most populations.

Forty years after this proclamation, the American Heart Association launched Go Red for Women. On the first Friday of American Heart Month, Americans are encouraged to wear red to draw attention to CVD as the leading cause of death among women as well as men.2,3 A 2024 report from the American Heart Institute and McKinsey Health Institute attributed at least one-third of the overall health care disparities between men and women to inequities in CVD care. These detrimental differences in the management of heart disease in women encompass both diagnostic misadventures and failure to promptly employ effective therapeutics. CVD morbidity and mortality data for Black women are even higher due to multiple and overlapping social determinants of health.4

Higher rates of hypertension, hyperlipidemia, and smoking in women veterans compared with civilians have resulted in an increased risk of heart disease and a 26% higher rate of CVD-related mortality. One in 10 women enrolled in US Department of Veterans Affairs (VA) health care has CVD. Research shows that these women are less likely compared to male veterans to receive counseling about exercise or to be prescribed medications such as statins, even when evidence-based treatment guidelines are followed. The increased rates of heart disease and its complications in women veterans are in part due to risk factors related to military service such as posttraumatic stress disorder (PTSD) and depression, which exceed the rates of nonveteran women.5

The heart has a long association with psychological health. For millennia, philosophers and physicians alike believed the heart was the center of the self and the locus of sentience. Even William Harvey, whose discovery of the circulation of blood earned him the title of the father of cardiology, viewed the heart as the life force.6 The heart has been explicitly linked to American military trauma since the Civil War era diagnosis of Soldier’s Heart. More recently, mutual genetic vulnerabilities to PTSD and CVD have been posited.7 Indeed, research with male combat veterans helped establish the association.

Until recently, there has been a dearth of research to establish the same connection between CVD and PTSD in women veterans, who have elevated rates of PTSD in part due to higher rates of homelessness and military sexual trauma.5 Due in large part to the work of a group of VA and US Department of Defense (DoD) researchers, this is starting to change. A research group conducted a retrospective longitudinal study using electronic health record data from nearly 400,000 women veterans to determine the propensity scores of associations between a PTSD diagnosis and the incidence of heart disease over nearly 5 years. The hazard ratio (HR) for the incidence of CVD in women with trauma was 1.44 (compared with matched controls) and even higher in younger women (HR, 1.72).8 Researchers also compared CVD mortality in civilian and veteran women and found a concerning trend: not only were mortality rates higher in veterans, but they also did not benefit from an overall improved trend in deaths from heart disease over the past 20 years.9

Two years later, the same VA/DoD research group conducted additional analysis on the dataset used in the prior study to examine potential mechanisms underlying the epidemiological link between CVD and PTSD in women veterans. Women with and without PTSD were matched on age and traditional CVD risk factor parameters. The findings demonstrated an association of PTSD with higher risks of diabetes, hypertension, hyperlipidemia, and smoking. However, these traditional risk factors only accounted for one-fourth of the total association. About 34% of the risk was attributed to depression, anxiety, and substance use disorders, as well as obesity and neuroendocrine disorders. This leaves slightly more than half of the elevated risk of CVD unexplained.10

This research, along with other studies, have identified several mechanisms elucidating the link. Promising translational research may lead to new diagnostic techniques or improved treatment modalities for CVD in women. The most established etiology is that veterans with PTSD have a higher prevalence of multiple CVD risk factors, including smoking, substance use disorders, obesity, poor diet, sleep disorders, depression, and inactivity. There is also increased recognition that PTSD involves neuroendocrine dysfunction in the stress-response that triggers a cascade of metabolic responses (eg, chronic inflammation) that contribute to the onset and progression of heart disease.11

This burgeoning scientific work on CVD and its close association with PTSD and the role of both traditional and nontraditional risk factors can inform VA efforts to educate frontline VA and DoD clinicians, leading to better care for women veterans. Whether a practitioner provides primary, specialty, or mental health care, this new knowledge can inform efforts to optimize prevention and treatment for both PTSD and CVD. For example, the VA/DoD researchers recommend prescribing antidepressants that are less likely to cause or worsen hypertension and to employ psychotherapies known to reduce the harmful CVD effects of increased stress acting through the hypothalamic-pituitary axis. These studies empower VA clinicians to realize Emily Dickinson’s aspiration to prevent trauma and reduce damage to both the psyche and the soma. The health of every veteran’s heart and mind matters, as does every effort of federal practitioners to protect and heal it.

References
  1. Dickinson E. The Complete Poems of Emily Dickinson. Back Bay Books; 1976.
  2. Centers for Disease Control. Heart disease facts. Updated October 24, 2024. Accessed January 27, 2025. https://www.cdc.gov/heart-disease/data-research/facts-stats/index.html
  3. American Heart Association. Historical timeline of the American Heart Association. Accessed January 27, 2025. https:// www.heart.org/-/media/files/about-us/history/history-of-the-american-heart-association.pdf
  4. McKinsey Health Institute in Collaboration with the American Heart Association. The state of US women’s heart health: a path to improved health and financial outcomes. June 2024. Accessed January 27, 2025. https://www.goredforwomen.org/-/media/GRFW-Files/About-Heart-Disease-in-Women/The-state-of-US-womens-heart-health-report.pdf?sc_lang=en
  5. Han JK, Yano EM, Watson KE, Ebrahimi R. Cardiovascular Care in women veterans. Circulation. 2019;139(8):1102-1109. doi:10.1161/CIRCULATIONAHA.118.037748
  6. Conrad LI, Neve M, Nutton V, Porter R, Wear A. The Western Medical Tradition: 800 BC to AD 1800. Cambridge University Press; 1995:335-338.
  7. Bremner JD, Wittbrodt MT, Shah AJ, et al. Confederates in the attic: posttraumatic stress disorder, cardiovascular disease, and the return of soldier’s heart. J Nerv Ment Dis. 2020;208(3):171-180. doi:10.1097/NMD.0000000000001100
  8. Ebrahimi R, Lynch KE, Beckham JC, et al. Association of posttraumatic stress disorder and incident ischemic heart disease in women veterans. JAMA Cardiol. 2021;6(6):642-651. doi:10.1001/jamacardio.2021.0227
  9. Ebrahimi R, Yano EM, Alvarez CA, et al. Trends in cardiovascular disease mortality in US women veterans vs civilians. JAMA Netw Open. 2023;6(10):e2340242. doi:10.1001/jamanetworkopen.2023.40242
  10. Ebrahimi R, Dennis PA, Shroyer ALW, et al. Pathways linking post-traumatic stress disorder to incident ischemic heart disease in women: call to action. JACC Adv. 2023;3(1):100744. doi:10.1016/j.jacadv.2023.100744
  11. Arenson M, Cohen B. Posttraumatic Stress Disorder and Cardiovascular Disease. National Center for PTSD. PTSD Res Q. 2017;28(1):1-3. Accessed January 27, 2025. https://www.ptsd.va.gov/publications/rq_docs/V28N1.pdf
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If I can stop one heart from breaking, I shall not live in vain.
Emily Dickinson1

The celebration of Valentine’s Day has made the association of hearts with the month of February almost automatic. There is, though, another commemoration of hearts in the second month of the year with special significance for federal practice: American Heart Month. President Lyndon B. Johnson proclaimed February as American Heart Month in 1964 to raise awareness of the enormous human and economic cost of cardiovascular diseases (CVD) that impact many Americans in their prime.

The Centers for Disease Control and Prevention estimates that 1 in 5 deaths in the United States is due to CVD, which includes coronary artery disease, heart failure, heart attack, and stroke.2 American Heart Month aims to increase public attention to heart disease prevention and promote research to develop better diagnostic treatment methods for the leading cause of death in most populations.

Forty years after this proclamation, the American Heart Association launched Go Red for Women. On the first Friday of American Heart Month, Americans are encouraged to wear red to draw attention to CVD as the leading cause of death among women as well as men.2,3 A 2024 report from the American Heart Institute and McKinsey Health Institute attributed at least one-third of the overall health care disparities between men and women to inequities in CVD care. These detrimental differences in the management of heart disease in women encompass both diagnostic misadventures and failure to promptly employ effective therapeutics. CVD morbidity and mortality data for Black women are even higher due to multiple and overlapping social determinants of health.4

Higher rates of hypertension, hyperlipidemia, and smoking in women veterans compared with civilians have resulted in an increased risk of heart disease and a 26% higher rate of CVD-related mortality. One in 10 women enrolled in US Department of Veterans Affairs (VA) health care has CVD. Research shows that these women are less likely compared to male veterans to receive counseling about exercise or to be prescribed medications such as statins, even when evidence-based treatment guidelines are followed. The increased rates of heart disease and its complications in women veterans are in part due to risk factors related to military service such as posttraumatic stress disorder (PTSD) and depression, which exceed the rates of nonveteran women.5

The heart has a long association with psychological health. For millennia, philosophers and physicians alike believed the heart was the center of the self and the locus of sentience. Even William Harvey, whose discovery of the circulation of blood earned him the title of the father of cardiology, viewed the heart as the life force.6 The heart has been explicitly linked to American military trauma since the Civil War era diagnosis of Soldier’s Heart. More recently, mutual genetic vulnerabilities to PTSD and CVD have been posited.7 Indeed, research with male combat veterans helped establish the association.

Until recently, there has been a dearth of research to establish the same connection between CVD and PTSD in women veterans, who have elevated rates of PTSD in part due to higher rates of homelessness and military sexual trauma.5 Due in large part to the work of a group of VA and US Department of Defense (DoD) researchers, this is starting to change. A research group conducted a retrospective longitudinal study using electronic health record data from nearly 400,000 women veterans to determine the propensity scores of associations between a PTSD diagnosis and the incidence of heart disease over nearly 5 years. The hazard ratio (HR) for the incidence of CVD in women with trauma was 1.44 (compared with matched controls) and even higher in younger women (HR, 1.72).8 Researchers also compared CVD mortality in civilian and veteran women and found a concerning trend: not only were mortality rates higher in veterans, but they also did not benefit from an overall improved trend in deaths from heart disease over the past 20 years.9

Two years later, the same VA/DoD research group conducted additional analysis on the dataset used in the prior study to examine potential mechanisms underlying the epidemiological link between CVD and PTSD in women veterans. Women with and without PTSD were matched on age and traditional CVD risk factor parameters. The findings demonstrated an association of PTSD with higher risks of diabetes, hypertension, hyperlipidemia, and smoking. However, these traditional risk factors only accounted for one-fourth of the total association. About 34% of the risk was attributed to depression, anxiety, and substance use disorders, as well as obesity and neuroendocrine disorders. This leaves slightly more than half of the elevated risk of CVD unexplained.10

This research, along with other studies, have identified several mechanisms elucidating the link. Promising translational research may lead to new diagnostic techniques or improved treatment modalities for CVD in women. The most established etiology is that veterans with PTSD have a higher prevalence of multiple CVD risk factors, including smoking, substance use disorders, obesity, poor diet, sleep disorders, depression, and inactivity. There is also increased recognition that PTSD involves neuroendocrine dysfunction in the stress-response that triggers a cascade of metabolic responses (eg, chronic inflammation) that contribute to the onset and progression of heart disease.11

This burgeoning scientific work on CVD and its close association with PTSD and the role of both traditional and nontraditional risk factors can inform VA efforts to educate frontline VA and DoD clinicians, leading to better care for women veterans. Whether a practitioner provides primary, specialty, or mental health care, this new knowledge can inform efforts to optimize prevention and treatment for both PTSD and CVD. For example, the VA/DoD researchers recommend prescribing antidepressants that are less likely to cause or worsen hypertension and to employ psychotherapies known to reduce the harmful CVD effects of increased stress acting through the hypothalamic-pituitary axis. These studies empower VA clinicians to realize Emily Dickinson’s aspiration to prevent trauma and reduce damage to both the psyche and the soma. The health of every veteran’s heart and mind matters, as does every effort of federal practitioners to protect and heal it.

If I can stop one heart from breaking, I shall not live in vain.
Emily Dickinson1

The celebration of Valentine’s Day has made the association of hearts with the month of February almost automatic. There is, though, another commemoration of hearts in the second month of the year with special significance for federal practice: American Heart Month. President Lyndon B. Johnson proclaimed February as American Heart Month in 1964 to raise awareness of the enormous human and economic cost of cardiovascular diseases (CVD) that impact many Americans in their prime.

The Centers for Disease Control and Prevention estimates that 1 in 5 deaths in the United States is due to CVD, which includes coronary artery disease, heart failure, heart attack, and stroke.2 American Heart Month aims to increase public attention to heart disease prevention and promote research to develop better diagnostic treatment methods for the leading cause of death in most populations.

Forty years after this proclamation, the American Heart Association launched Go Red for Women. On the first Friday of American Heart Month, Americans are encouraged to wear red to draw attention to CVD as the leading cause of death among women as well as men.2,3 A 2024 report from the American Heart Institute and McKinsey Health Institute attributed at least one-third of the overall health care disparities between men and women to inequities in CVD care. These detrimental differences in the management of heart disease in women encompass both diagnostic misadventures and failure to promptly employ effective therapeutics. CVD morbidity and mortality data for Black women are even higher due to multiple and overlapping social determinants of health.4

Higher rates of hypertension, hyperlipidemia, and smoking in women veterans compared with civilians have resulted in an increased risk of heart disease and a 26% higher rate of CVD-related mortality. One in 10 women enrolled in US Department of Veterans Affairs (VA) health care has CVD. Research shows that these women are less likely compared to male veterans to receive counseling about exercise or to be prescribed medications such as statins, even when evidence-based treatment guidelines are followed. The increased rates of heart disease and its complications in women veterans are in part due to risk factors related to military service such as posttraumatic stress disorder (PTSD) and depression, which exceed the rates of nonveteran women.5

The heart has a long association with psychological health. For millennia, philosophers and physicians alike believed the heart was the center of the self and the locus of sentience. Even William Harvey, whose discovery of the circulation of blood earned him the title of the father of cardiology, viewed the heart as the life force.6 The heart has been explicitly linked to American military trauma since the Civil War era diagnosis of Soldier’s Heart. More recently, mutual genetic vulnerabilities to PTSD and CVD have been posited.7 Indeed, research with male combat veterans helped establish the association.

Until recently, there has been a dearth of research to establish the same connection between CVD and PTSD in women veterans, who have elevated rates of PTSD in part due to higher rates of homelessness and military sexual trauma.5 Due in large part to the work of a group of VA and US Department of Defense (DoD) researchers, this is starting to change. A research group conducted a retrospective longitudinal study using electronic health record data from nearly 400,000 women veterans to determine the propensity scores of associations between a PTSD diagnosis and the incidence of heart disease over nearly 5 years. The hazard ratio (HR) for the incidence of CVD in women with trauma was 1.44 (compared with matched controls) and even higher in younger women (HR, 1.72).8 Researchers also compared CVD mortality in civilian and veteran women and found a concerning trend: not only were mortality rates higher in veterans, but they also did not benefit from an overall improved trend in deaths from heart disease over the past 20 years.9

Two years later, the same VA/DoD research group conducted additional analysis on the dataset used in the prior study to examine potential mechanisms underlying the epidemiological link between CVD and PTSD in women veterans. Women with and without PTSD were matched on age and traditional CVD risk factor parameters. The findings demonstrated an association of PTSD with higher risks of diabetes, hypertension, hyperlipidemia, and smoking. However, these traditional risk factors only accounted for one-fourth of the total association. About 34% of the risk was attributed to depression, anxiety, and substance use disorders, as well as obesity and neuroendocrine disorders. This leaves slightly more than half of the elevated risk of CVD unexplained.10

This research, along with other studies, have identified several mechanisms elucidating the link. Promising translational research may lead to new diagnostic techniques or improved treatment modalities for CVD in women. The most established etiology is that veterans with PTSD have a higher prevalence of multiple CVD risk factors, including smoking, substance use disorders, obesity, poor diet, sleep disorders, depression, and inactivity. There is also increased recognition that PTSD involves neuroendocrine dysfunction in the stress-response that triggers a cascade of metabolic responses (eg, chronic inflammation) that contribute to the onset and progression of heart disease.11

This burgeoning scientific work on CVD and its close association with PTSD and the role of both traditional and nontraditional risk factors can inform VA efforts to educate frontline VA and DoD clinicians, leading to better care for women veterans. Whether a practitioner provides primary, specialty, or mental health care, this new knowledge can inform efforts to optimize prevention and treatment for both PTSD and CVD. For example, the VA/DoD researchers recommend prescribing antidepressants that are less likely to cause or worsen hypertension and to employ psychotherapies known to reduce the harmful CVD effects of increased stress acting through the hypothalamic-pituitary axis. These studies empower VA clinicians to realize Emily Dickinson’s aspiration to prevent trauma and reduce damage to both the psyche and the soma. The health of every veteran’s heart and mind matters, as does every effort of federal practitioners to protect and heal it.

References
  1. Dickinson E. The Complete Poems of Emily Dickinson. Back Bay Books; 1976.
  2. Centers for Disease Control. Heart disease facts. Updated October 24, 2024. Accessed January 27, 2025. https://www.cdc.gov/heart-disease/data-research/facts-stats/index.html
  3. American Heart Association. Historical timeline of the American Heart Association. Accessed January 27, 2025. https:// www.heart.org/-/media/files/about-us/history/history-of-the-american-heart-association.pdf
  4. McKinsey Health Institute in Collaboration with the American Heart Association. The state of US women’s heart health: a path to improved health and financial outcomes. June 2024. Accessed January 27, 2025. https://www.goredforwomen.org/-/media/GRFW-Files/About-Heart-Disease-in-Women/The-state-of-US-womens-heart-health-report.pdf?sc_lang=en
  5. Han JK, Yano EM, Watson KE, Ebrahimi R. Cardiovascular Care in women veterans. Circulation. 2019;139(8):1102-1109. doi:10.1161/CIRCULATIONAHA.118.037748
  6. Conrad LI, Neve M, Nutton V, Porter R, Wear A. The Western Medical Tradition: 800 BC to AD 1800. Cambridge University Press; 1995:335-338.
  7. Bremner JD, Wittbrodt MT, Shah AJ, et al. Confederates in the attic: posttraumatic stress disorder, cardiovascular disease, and the return of soldier’s heart. J Nerv Ment Dis. 2020;208(3):171-180. doi:10.1097/NMD.0000000000001100
  8. Ebrahimi R, Lynch KE, Beckham JC, et al. Association of posttraumatic stress disorder and incident ischemic heart disease in women veterans. JAMA Cardiol. 2021;6(6):642-651. doi:10.1001/jamacardio.2021.0227
  9. Ebrahimi R, Yano EM, Alvarez CA, et al. Trends in cardiovascular disease mortality in US women veterans vs civilians. JAMA Netw Open. 2023;6(10):e2340242. doi:10.1001/jamanetworkopen.2023.40242
  10. Ebrahimi R, Dennis PA, Shroyer ALW, et al. Pathways linking post-traumatic stress disorder to incident ischemic heart disease in women: call to action. JACC Adv. 2023;3(1):100744. doi:10.1016/j.jacadv.2023.100744
  11. Arenson M, Cohen B. Posttraumatic Stress Disorder and Cardiovascular Disease. National Center for PTSD. PTSD Res Q. 2017;28(1):1-3. Accessed January 27, 2025. https://www.ptsd.va.gov/publications/rq_docs/V28N1.pdf
References
  1. Dickinson E. The Complete Poems of Emily Dickinson. Back Bay Books; 1976.
  2. Centers for Disease Control. Heart disease facts. Updated October 24, 2024. Accessed January 27, 2025. https://www.cdc.gov/heart-disease/data-research/facts-stats/index.html
  3. American Heart Association. Historical timeline of the American Heart Association. Accessed January 27, 2025. https:// www.heart.org/-/media/files/about-us/history/history-of-the-american-heart-association.pdf
  4. McKinsey Health Institute in Collaboration with the American Heart Association. The state of US women’s heart health: a path to improved health and financial outcomes. June 2024. Accessed January 27, 2025. https://www.goredforwomen.org/-/media/GRFW-Files/About-Heart-Disease-in-Women/The-state-of-US-womens-heart-health-report.pdf?sc_lang=en
  5. Han JK, Yano EM, Watson KE, Ebrahimi R. Cardiovascular Care in women veterans. Circulation. 2019;139(8):1102-1109. doi:10.1161/CIRCULATIONAHA.118.037748
  6. Conrad LI, Neve M, Nutton V, Porter R, Wear A. The Western Medical Tradition: 800 BC to AD 1800. Cambridge University Press; 1995:335-338.
  7. Bremner JD, Wittbrodt MT, Shah AJ, et al. Confederates in the attic: posttraumatic stress disorder, cardiovascular disease, and the return of soldier’s heart. J Nerv Ment Dis. 2020;208(3):171-180. doi:10.1097/NMD.0000000000001100
  8. Ebrahimi R, Lynch KE, Beckham JC, et al. Association of posttraumatic stress disorder and incident ischemic heart disease in women veterans. JAMA Cardiol. 2021;6(6):642-651. doi:10.1001/jamacardio.2021.0227
  9. Ebrahimi R, Yano EM, Alvarez CA, et al. Trends in cardiovascular disease mortality in US women veterans vs civilians. JAMA Netw Open. 2023;6(10):e2340242. doi:10.1001/jamanetworkopen.2023.40242
  10. Ebrahimi R, Dennis PA, Shroyer ALW, et al. Pathways linking post-traumatic stress disorder to incident ischemic heart disease in women: call to action. JACC Adv. 2023;3(1):100744. doi:10.1016/j.jacadv.2023.100744
  11. Arenson M, Cohen B. Posttraumatic Stress Disorder and Cardiovascular Disease. National Center for PTSD. PTSD Res Q. 2017;28(1):1-3. Accessed January 27, 2025. https://www.ptsd.va.gov/publications/rq_docs/V28N1.pdf
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