Identifying Patterns of Primary Care In-Person and Telemedicine Use in the Veterans Health Administration: A Latent Class Analysis.

BACKGROUND: The Veterans Health Administration increased synchronous telemedicine (video and telephone visits) in primary care in response to the COVID-19 pandemic. OBJECTIVE: Our objective was to determine veteran use patterns of in-person and telemedicine primary care when all modalities were available. DESIGN: A retrospective cohort analysis. We performed a latent class analysis of primary care visits over a 1-year period to identify veteran subgroup (i.e., class) membership based on amount of primary care use and modality used. Then, we used multinomial logistic regression with a categorical outcome to identify patient characteristics associated with class identification. PARTICIPANTS: A random national sample consisting of 564,580 primary care empaneled veterans in June 2021. MAIN MEASURES: Latent class membership. KEY RESULTS: We identified three latent classes: those with few primary care visits that were predominantly telephone-based (45%), intermediate number of visits of all modalities (50%), and many visits of all modalities (5%). In an adjusted model, characteristics associated with the "few" visits class, compared to the intermediate class, were older age, male sex, White race, further driving distance to primary care, higher Gagne, optimal internet speed, and unmarried status (OR 1.002, 1.52, 1.13, 1.004, 1.04, 1.05, 1.06, respectively; p < .05). Characteristics associated with membership in the "many" visits class, compared to the intermediate class, were Hispanic race, higher JEN Frailty Index and Gagne (OR 1.12, 1.11, 1.02, respectively; p < .05), and higher comorbidity by Care Assessment Need score quartile (Q2 1.73, Q3 2.80, Q4 4.12; p < 0.05). CONCLUSIONS: Veterans accessing primary care in-person or via telemedicine do so primarily in three ways: (1) few visits, predominantly telephone; (2) intermediate visits, all modalities, (3) many visits, all modalities. We found no groups of veterans receiving a majority of primary care through video.

Overcoming Obstacles: Barriers to Virtual Care Use Among Video-Enabled Tablet Recipients in the Veterans Health Administration.

INTRODUCTION: The Veterans Health Administration (VHA) distributes video-enabled tablets to individuals with barriers to accessing care. Data suggests that many tablets are under-used. We surveyed Veterans who received a tablet to identify barriers that are associated with lower use, and evaluated the impact of a telephone-based orientation call on reported barriers and future video use. METHODS: We used a national survey to assess for the presence of 13 barriers to accessing video-based care, and then calculated the prevalence of the barriers stratified by video care utilization in the 6 months after survey administration. We used multivariable modeling to examine the association between each barrier and video-based care use and evaluated whether a telephone-based orientation modified this association. RESULTS: The most prevalent patient-reported barriers to video-based care were not knowing how to schedule a visit, prior video care being rescheduled/canceled, and past problems using video care. Following adjustment, individuals who reported vision or hearing difficulties and those who reported that video care does not provide high-quality care had a 19% and 12% lower probability of future video care use, respectively. Individuals who reported no interest in video care, or did not know how to schedule a video care visit, had an 11% and 10% lower probability of being a video care user, respectively. A telephone-based orientation following device receipt did not improve the probability of being a video care user. DISCUSSION: Barriers to engaging in virtual care persist despite access to video-enabled devices. Targeted interventions beyond telephone-based orientation are needed to facilitate adoption and engagement in video visits.

Health Conditions and Treatment Utilization Among Older Male Veterans Incarcerated in Prisons.

BACKGROUND: More than 50,000 older male veterans incarcerated in prisons are expected to return to their communities and utilize the Veterans Health Administration (VHA) and community healthcare systems. To support the continuity of healthcare and overall successful community reentry of older incarcerated veterans, an understanding of their health profiles and treatment utilization while in correctional care is needed. OBJECTIVE: To assess the health status of older male veterans incarcerated in state prisons and explore demographic, military, and VHA-related factors associated with medical conditions, disabilities, behavioral conditions, and medical and behavioral treatment utilization. DESIGN/PARTICIPANTS: Cross-sectional observational study of 880 male veterans aged 50 + incarcerated in state prisons using data from the 2016 Bureau of Justice Statistics Survey of Prison Inmates. MAIN MEASURES: Veteran status, self-report health status, and treatment utilization since prison admission. Prevalence rates for conditions and treatment utilization were calculated. Logistic regression models were used to examine the association of characteristics with conditions and treatment utilization. KEY RESULTS: Among the 880 older male veterans in state prisons, the majority reported having a current medical condition (79.3%) or disability (61.6%), almost half had history of a mental health condition (44.5%), and more than a quarter (29%) had a substance use disorder. Compared to White veterans, Black veterans were less likely to report a disability or mental health condition. Few demographic, military, and VA-related characteristics were associated with medical or behavioral conditions or treatment utilization. CONCLUSION: Our results suggest that the VHA and community healthcare systems need to be prepared to address medical and disability conditions among the majority of older male veterans who will be leaving prison and returning to their communities. Integrated medical and behavioral healthcare delivery models may be especially important for these veterans as many did not receive behavioral health treatment while in prison.

Impact of Referring High-Risk Patients to Intensive Outpatient Primary Care Services: A Propensity Score-Matched Analysis.

BACKGROUND: Many healthcare systems have implemented intensive outpatient primary care programs with the hopes of reducing healthcare costs. OBJECTIVE: The Veterans Health Administration (VHA) piloted primary care intensive management (PIM) for patients at high risk for hospitalization or death, or "high-risk." We evaluated whether a referral model would decrease high-risk patient costs. DESIGN: Retrospective cohort study using a quasi-experimental design comparing 456 high-risk patients referred to PIM from October 2017 to September 2018 to 415 high-risk patients matched on propensity score. PARTICIPANTS: Veterans in the top 10th percentile of risk for 90-day hospitalization or death and recent hospitalization or emergency department (ED) visit. INTERVENTION: PIM consisted of interdisciplinary teams that performed comprehensive assessments, intensive case management, and care coordination services. MAIN OUTCOMES AND MEASURES: Change in VHA and non-VHA outpatient utilization, inpatient admissions, and costs 12 months pre- and post-index date. KEY RESULTS: Of the 456 patients referred to PIM, 301 (66%) enrolled. High-risk patients referred to PIM had a marginal reduction in ED visits (- 0.7; [95% CI - 1.50 to 0.08]; p = 0.08) compared to propensity-matched high-risk patients; overall outpatient costs were similar. High-risk patients referred to PIM had similar number of medical/surgical hospitalizations (- 0.2; [95% CI, - 0.6 to 0.16]; p = 0.2), significant increases in length of stay (6.36; [CI, - 0.01 to 12.72]; p = 0.05), and higher inpatient costs ($22,628, [CI, $3587 to $41,669]; p = 0.02) than those not referred to PIM. CONCLUSIONS AND RELEVANCE: VHA intensive outpatient primary care was associated with higher costs. Referral to intensive case management programs targets the most complex patients and may lead to increased utilization and costs, particularly in an integrated healthcare setting with robust patient-centered medical homes. TRIAL REGISTRATION: PIM 2.0: Patient Aligned Care Team (PACT) Intensive Management (PIM) Project (PIM2). NCT04521816. https://clinicaltrials.gov/study/NCT04521816.

Research Priorities to Expand Virtual Care Access for Patients in the Veterans Affairs Health Care System.

The rapid expansion of virtual care is driving demand for equitable, high-quality access to technologies that are required to utilize these services. While the Department of Veterans Affairs (VA) is seen as a national leader in the implementation of telehealth, there remain gaps in evidence about the most promising strategies to expand access to virtual care. To address these gaps, in 2022, the VA's Health Services Research and Development service and Office of Connected Care held a "state-of-the-art" (SOTA) conference to develop research priorities for advancing the science, clinical practice, and implementation of virtual care. One workgroup within the SOTA focused on access to virtual care and addressed three questions: (1) Based on the existing evidence about barriers that impede virtual care access in digitally vulnerable populations, what additional research is needed to understand these factors? (2) Based on the existing evidence about digital inclusion strategies, what additional research is needed to identify the most promising strategies? and (3) What additional research beyond barriers and strategies is needed to address disparities in virtual care access? Here, we report on the workgroup's discussions and recommendations for future research to improve and optimize access to virtual care. Effective implementation of these recommendations will require collaboration among VA operational leadership, researchers, Human Factors Engineering experts and front-line clinicians as they develop, implement, and evaluate the spread of virtual care access strategies.

"It's Like Finding Your Way Through the Labyrinth": a Qualitative Study of Veterans' Experiences Accessing Healthcare.

BACKGROUND: The 2014 Veterans Choice Act and subsequent 2018 Veteran's Affairs (VA) Maintaining Systems and Strengthening Integrated Outside Networks Act (MISSION Act) are legislation which clarified Veteran access to healthcare provided by non-VA clinicians (community care). These policies are of particular importance to Veterans living in rural areas, who tend to live farther from VA medical facilities than urban Veterans. OBJECTIVE: To understand Veterans' experiences of the MISSION Act and how it impacted their access to primary care to inform future interventions with a focus on reaching rural Veterans. DESIGN: Qualitative descriptive design. PARTICIPANTS: United States (US) Veterans in Northwestern states engaged in VA and/or community care. APPROACH: Semi-structured interviews were conducted with a purposive sample of Veterans between August 2020 and September 2021. Interview domains focused on barriers and facilitators of healthcare access. Transcripts were analyzed using thematic analysis. KEY RESULTS: We interviewed 28 Veterans; 52% utilized community care as their primary source of care and 36% were from rural or frontier areas. Three main themes emerged: (1) Veterans described their healthcare experiences as positive but also frustrating (billing and prior authorization were noted as top frustrations); (2) Veterans with medical complexities, living far from healthcare services, and/or seeking women's healthcare services experienced additional frustration due to increased touch points with VA systems and processes; and (3) financial resources and/or knowledge of the VA system insulated Veterans from frustration with healthcare navigation. CONCLUSIONS: Despite provisions in the MISSION Act, Veteran participants described persistent barriers to healthcare access. Patient characteristics that required increased interaction with VA processes exacerbated these barriers, while financial resources and VA system knowledge mitigated them. Interventions to improve care coordination or address access barriers across VA and community care settings could improve access and reduce health inequities for Veterans-especially those with medical complexities, those living far from healthcare services, or those seeking women's healthcare.

The Landscape of Care for Women Veterans with Cancer: An Evidence Map.

BACKGROUND: Women are the fastest growing veteran group in the US and the number of women veterans (WVs) with cancer is rising; however, little is known about this population. Cancer care for WVs is complex and it is essential to understand their unique needs and care coordination challenges to provide evidence-based care. The purpose of this review is to map the quantity, distribution, and characteristics of literature describing cancer and its treatment among WVs. METHODS: We searched MEDLINE (via PubMed), Embase (Elsevier), and Web of Science Core Collection (Clarivate) from inception through January, 2024. Publications were eligible that reported gender-specific data on any aspect of cancer care among WVs. Data was abstracted by a single investigator with over-reading. RESULTS: Forty-six reports were included; 44 were observational and 19 had a women-only sample. There were no interventional reports and no qualitative reports had a patient sample. Breast cancer was the most commonly addressed (n = 19). There were six additional reports on sex-specific cancers. Many reports used large VA databases or previous trial data, creating the potential for patient overlap between reports. Among VA-specific areas of interest, only three reports evaluated the potential implications of racial differences and only two included a transgender population. No reports examined the effects of toxic exposures on cancer. Within the NCI Cancer Control Continuum, crosscutting areas were more commonly represented; over half (25) of the reports addressed epidemiology. There were few reports on focus areas and little overlap between focus and crosscutting areas. DISCUSSION: Existing literature provides an inadequate understanding of the population of WVs with cancer. There is scant information regarding the population of WVs with cancer, their care preferences or experiences, or how to best identify and address unmet healthcare needs. It is imperative to expand research to provide evidence-based care for this population.

Diagnoses of muscular dystrophy in a veterans health system.

INTRODUCTION/AIMS: Early diagnosis of a chronic neuromuscular disease such as muscular dystrophy (MD) generally excludes an individual from active-duty military service. However, it is not known whether veterans are sometimes diagnosed with milder forms of MD at a later timepoint. We aimed to determine the prevalence of MD in a veterans health system. METHODS: We abstracted clinical and genetic test data on patients who received care for a diagnosis of MD at the North Florida/South Georgia Veterans Health System between 2008 and 2021. We then determined which of these individuals would meet criteria for a definite diagnosis of MD, based on electrodiagnostic testing, muscle biopsy, and genetic testing of the individual or an affected first degree relative. RESULTS: We identified 12 patients with definite MD and 36 with possible or probable MD. The definite cases included myotonic dystrophy type 1 (4), myotonic dystrophy type 2 (3), oculopharyngeal MD (2), Becker MD (1), distal MD (1), and facioscapulohumeral MD (1). At least five of the cases classified as definite developed symptoms after discharge from active duty. DISCUSSION: Clinicians who care for veterans should be knowledgeable about, and have access to, diagnostic testing and treatment options for MD. When conducting MD surveillance, it is important to include veterans health systems as a data source. Mild cases of MD and those of later onset appear to be compatible in some cases with successful completion of military service.

Prevalence and risk factors of post-acute sequelae of SARS-CoV-2 (PASC) among veterans in the airborne hazards and open burn pit registry: a prospective, observational, nested study.

BACKGROUND: Veterans have unique military risk factors and exposures during deployment that may augment their risk of post-acute sequelae of SARS-CoV-2 (PASC). The purpose of this study is to identify potential risk factors for PASC among Veterans in the national Airborne Hazards and Open Burn Pit Registry (AHOBPR). METHODS: This prospective observational study consisted of a semi-structured interview conducted via phone or videoconference from November 2021 to December 2022 among a stratified random sample of deployed Veterans nested within the national AHOBPR with laboratory-confirmed SARS-CoV-2 infection. PASC was defined as persistent new-onset symptoms lasting more than 2 months after initial SARS-CoV-2 infection. Deployment history, airborne hazards exposure and symptoms were obtained from the AHOBPR self-assessment questionnaire completed prior to SARS-CoV-2 infection (past). Post-infection symptoms and health behaviors obtained at study interview (present) were used to test the hypothesis that deployment experience and exposure increases the risk for PASC. RESULTS: From a sample of 212 Veterans, 149 (70%) met criteria for PASC with a mean age of 47 ± 8.7 years; 73 (49%) were women and 76 (51%) were men, and 129 (82.6%) continued to experience persistent symptoms of SARS-CoV-2 (596.8 ± 160.4 days since initial infection). Neither exposure to airborne hazards (OR 0.97, CI 0.92-1.03) or to burn pits (OR 1.00, CI 0.99-1.00) augmented risk for PASC. CONCLUSIONS: PASC is highly common among Veterans enrolled in the AHOBPR, but we did not observe any unique military risk factors (e.g., airborne hazards exposure) that augmented the risk of PASC. Our findings may provide guidance to clinicians in the VHA network to administer appropriate care for Veterans experiencing PASC.

Development of a 3-Step theory of suicide ontology to facilitate 3ST factor extraction from clinical progress notes.

OBJECTIVE: Suicide risk prediction algorithms at the Veterans Health Administration (VHA) do not include predictors based on the 3-Step Theory of suicide (3ST), which builds on hopelessness, psychological pain, connectedness, and capacity for suicide. These four factors are not available from structured fields in VHA electronic health records, but they are found in unstructured clinical text. An ontology and controlled vocabulary that maps psychosocial and behavioral terms to these factors does not exist. The objectives of this study were 1) to develop an ontology with a controlled vocabulary of terms that map onto classes that represent the 3ST factors as identified within electronic clinical progress notes, and 2) to determine the accuracy of automated extractions based on terms in the controlled vocabulary. METHODS: A team of four annotators did linguistic annotation of 30,000 clinical progress notes from 231 Veterans in VHA electronic health records who attempted suicide or who died by suicide for terms relating to the 3ST factors. Annotation involved manually assigning a label to words or phrases that indicated presence or absence of the factor (polarity). These words and phrases were entered into a controlled vocabulary that was then used by our computational system to tag 14 million clinical progress notes from Veterans who attempted or died by suicide after 2013. Tagged text was extracted and machine-labelled for presence or absence of the 3ST factors. Accuracy of these machine-labels was determined for 1000 randomly selected extractions for each factor against a ground truth created by our annotators. RESULTS: Linguistic annotation identified 8486 terms that related to 33 subclasses across the four factors and polarities. Precision of machine-labeled extractions ranged from 0.73 to 1.00 for most factor-polarity combinations, whereas recall was somewhat lower 0.65-0.91. CONCLUSION: The ontology that was developed consists of classes that represent each of the four 3ST factors, subclasses, relationships, and terms that map onto those classes which are stored in a controlled vocabulary (https://bioportal.bioontology.org/ontologies/THREE-ST). The use case that we present shows how scores based on clinical notes tagged for terms in the controlled vocabulary capture meaningful change in the 3ST factors during weeks preceding a suicidal event.

Evaluation of clinical outcomes and employment status in veterans with dual diagnosis of traumatic brain injury and spinal cord injury.

PURPOSE: To examine clinical outcomes and employment status in Veterans with and without a dual diagnosis of traumatic brain injury (TBI) and spinal cord injury (SCI). METHODS: This cross-sectional study examined a national sample of Veterans enrolled in the VA Million Veteran Program who completed the Comprehensive TBI Evaluation (CTBIE) as part of the Veterans Health Administration's TBI Screening and Evaluation Program. Veterans (N = 12,985) were classified into the following TBI/SCI groups using CTBIE data: those with a dual diagnosis of TBI and SCI (TBI+/SCI+); those with a history of TBI but no SCI (TBI+/SCI-); and those with no history of TBI or SCI (TBI-/SCI-; i.e., the control group). CTBIE-derived outcomes included neurobehavioral symptoms, comorbid psychiatric symptoms, pain and pain interference, and employment status. RESULTS: Chi-square analyses showed significant associations between TBI/SCI group and all clinical outcomes evaluated (all p's < .001; V = 0.07-0.11). In general, the TBI+/SCI+ and TBI +/SCI- groups endorsed comparable levels of neurobehavioral symptoms, psychiatric symptoms, and pain, but significantly greater rates of symptoms and pain relative to the TBI-/SCI- group. Effect sizes for all pairwise comparisons were small (φ = 0.01-0.11). Finally, there was no significant association between TBI/SCI group and employment status (p = .170; V = 0.02), with all three groups showing relatively comparable rates of unemployment. CONCLUSIONS: Regardless of SCI status, Veterans with TBI history endorsed poorer clinical outcomes than Veterans without TBI and SCI. However, rates of unemployment were similarly high across all three groups. Findings suggest that any Veteran completing the CTBIE may be at risk for poor clinical and employment outcomes.

National Survey of the Bone Densitometry Evaluation Process Within an Integrated Healthcare System.

BACKGROUND: To assess the current state of bone mineral density evaluation services via dual energy x-ray absorptiometry (DXA) provided to Veterans with fracture risk through the development and administration of a nationwide survey of facilities in the Veterans Health Administration. METHODOLOGY: The Bone Densitometry Survey was developed by convening a Work Group of individuals with expertise in bone densitometry and engaging the Work Group in an iterative drafting and revision process. Once completed, the survey was beta tested, administered through REDCap, and sent via e-mail to points of contact at 178 VHA facilities. RESULTS: Facility response rate was 31 % (56/178). Most DXA centers reported positively to markers of readiness for their bone densitometers: less than 10 years old (n=35; 63 %); in "excellent" or "good" condition (n=44; 78 %, 32 % and 46 %, respectively); and perform phantom calibration (n=43; 77 %). Forty-one DXA centers (73 %) use intake processes that have been shown to reduce errors. Thirty-seven DXA centers (66 %) reported their technologists receive specialized training in DXA, while 14 (25 %) indicated they receive accredited training. Seventeen DXA centers (30 %) reported performing routine precision assessment. CONCLUSIONS: Many DXA centers reported using practices that meet minimal standards for DXA reporting and preparation; however, the lack of standardization, even within an integrated healthcare system, indicates an opportunity for quality improvement to ensure consistent high quality bone mineral density evaluation of Veterans.

Longitudinal Epidemiology of Mucormycosis Within the Veterans Health Administration: A Retrospective Cohort Study Over a 20-Year Period.

BACKGROUND: Mucormycosis is a rare but critical infection. Due to its rarity, there is scarce evidence about the longitudinal changes in the epidemiology of mucormycosis in the US. OBJECTIVES: We investigated the longitudinal epidemiology, detailed clinical characteristics, treatment and outcomes of patients with mucormycosis within the US Veterans Health Administration (VHA) over 20-year period. PATIENTS/METHODS: All adult patients who were admitted to an acute-care hospital with a diagnosis of mucormycosis within the VHA from January 2003 to December 2022. RESULTS: Our study included 201 patients from 68 hospitals. Incidence rates of mucormycosis increased from 1.9 per 100,000 hospitalisations in 2003 to 3.3 per 100,000 hospitalisations in 2022, with a peak incidence at 5.9 per 100,000 hospitalisations in 2021, when the Delta wave of COVID-19 hit the US. Rhino-orbital (37.3%) and pulmonary mucormycosis (36.8%) were the most common types of infection. Diabetes mellitus (59.1%) and leukaemia (28.9%) were most common comorbidities predisposing to mucormycosis. Use of posaconazole or isavuconazole increased over time. The 90-day and 1-year mortalities were 35.3% and 49.8%, respectively. The mortality was lower in more recent years (2013-2017, 2018-2022) compared to earlier years (2003-2007). Age ≥65 (adjusted odds ratio [aOR]: 3.47, 95% CI 1.59-7.40), leukaemia as a comorbidity (aOR: 2.66, 95% CI 1.22-5.89) and central nervous system infection (aOR: 10.59, 95% CI 2.81-44.57) were significantly associated with higher 90-day mortality. CONCLUSIONS: Our longitudinal cohort study suggests the increasing incidence rates but lower mortality of mucormycosis over this 20-year period.

Workplace Bullying Experiences of Nurses From Diverse Sexual Orientation and Gender Identity Groups.

AIM: To examine nurse workplace bullying relative to diverse sexual orientation and gender identity groups. DESIGN: Observational cross-sectional study. METHODS: Using an annual organisational satisfaction survey from 2022, we identified free-text comments provided by nurses (N = 25,337). We identified and themed comments for specific bullying content among unique respondents (n = 1432). We also examined close-ended questions that captured organisational constructs, such as job satisfaction and burnout. We looked at differences by comparing diverse sexual orientation and gender identity groups to the majority using both qualitative and quantitative data. RESULTS: For the free-text comments, themed categories reflected the type of bullying, the perpetrator and perceived impact. Disrespect was the most frequent theme with supervisors being the primary perpetrator. The reported bullying themes and workplace perceptions differed between nurses in the diverse gender identity and sexual orientation group compared to other groups. Nurses who reported bullying also reported higher turnover intent, burnout, lower workplace civility, more dissatisfaction and lower self-authenticity. CONCLUSION: Diverse sexual orientation and gender identity groups are understudied in the nurse bullying research, likely because of sensitivities around identification. Our design enabled anonymous assessment of these groups. We suggest practices to help alleviate and mitigate the prevalence of bullying in nursing. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution. IMPACT: We examined differences in perceptions of nurse bullying between diverse sexual orientation and gender identity groups compared to majority groups. Group differences were found both for thematic qualitative content and workplace experience ratings with members of minority groups reporting less favourable workplace experiences. Nurse leaders and staff can benefit from learning about best practices to eliminate bullying among this population. REPORTING METHOD: STROBE guidelines for cross-sectional observational studies.

Effects of mhealth applications on military personnel's physical and mental health: A systematic review.

This systematic review examined the effects of mobile health (mHealth) apps on the physical and mental health outcomes of military personnel. Fourteen studies (10 RCTs, 4 non-RCTs) published between 2000 and 2022 were included. While app-based interventions did not significantly improve clinical outcomes like HbA1c and blood pressure, they showed a statistically significant reduction in symptom severity of Posttraumatic Stress Disorder symptoms (PTSD), depression, and insomnia. Patients expressed satisfaction with the apps, though statistical significance was not reported. In addition to alleviating mental health symptoms, mHealth apps appear widely accepted by military personnel. Development and implementation of evidence-based mental health apps by healthcare professionals are recommended.

Infertility Services for Veterans Enrolled in Veterans Health Administration Care.

BACKGROUND: Infertility care is provided to Veterans through the Veterans Health Administration (VHA) medical benefits package and includes infertility evaluation and many infertility treatments. OBJECTIVE: Our objective was to examine the incidence and prevalence of infertility diagnoses and the receipt of infertility healthcare among Veterans using Veterans Health Administration (VHA) healthcare from 2018 to 2020. METHODS: Veterans using the VHA and diagnosed with infertility during October 2017-September 2020 (FY18-20) were identified in VHA administrative data and through VA-purchased care (i.e., community care) claims. Infertility was categorized among men as azoospermia, oligospermia, and other and unspecified male infertility, and among women as anovulation, infertility of tubal origin, infertility of uterine origin, and other and unspecified female infertility using diagnosis and procedure codes (ICD-10, CPT). KEY RESULTS: A total of 17,216 Veterans had at least one VHA infertility diagnosis in FY18, FY19, or FY20, including 8766 male Veterans and 8450 female Veterans. Incident diagnoses of infertility were observed in 7192 male Veterans (10.8/10,000 person (p)-years) and 5563 female Veterans (93.6/10,000 p-years). A large proportion of Veterans who were diagnosed with infertility received an infertility-related procedure in the year of their incident diagnosis (males: 74.7, 75.3, 65.0%, FY18-20 respectively; females: 80.9, 80.8, 72.9%, FY18-20 respectively). CONCLUSIONS: In comparison to a recent study of active duty servicemembers, we found a lower rate of infertility among Veteran men and a higher rate among Veteran women. Further work is needed to investigate military exposures and circumstances that may lead to infertility. Given the rates of infertility among Veterans and active duty servicemembers, enhancing communications between Department of Defense and VHA systems regarding sources of and treatment for infertility is essential to help more men and women benefit from infertility care during military service or as Veterans.

Uptake and Equity in Influenza Vaccination Among Veterans with VA Coverage, Veterans Without VA Coverage, and Non-Veterans in the USA, 2019-2020.

BACKGROUND: Vaccination is a primary method of reducing the burden of influenza, yet uptake is neither optimal nor equitable. Single-tier, primary care-oriented health systems may have an advantage in the efficiency and equity of vaccination. OBJECTIVE: To assess the association of Veterans' Health Administration (VA) coverage with influenza vaccine uptake and disparities. DESIGN: Cross-sectional. PARTICIPANTS: Adult respondents to the 2019-2020 National Health Interview Survey. MAIN MEASURES: We examined influenza vaccination rates, and racial/ethnic and income-based vaccination disparities, among veterans with VA coverage, veterans without VA coverage, and adult non-veterans. We performed multivariable logistic regressions adjusted for demographics and self-reported health, with interaction terms to examine differential effects by race/ethnicity and income. KEY RESULTS: Our sample included n=2,277 veterans with VA coverage, n=2,821 veterans without VA coverage, and n=46,456 non-veterans. Veterans were more often White and male; among veterans, those with VA coverage had worse health and lower incomes. Veterans with VA coverage had a higher unadjusted vaccination rate (63.0%) than veterans without VA coverage (59.1%) and non-veterans (46.5%) (p<0.05 for each comparison). In our adjusted model, non-veterans were 11.4 percentage points (95% CI -14.3, -8.5) less likely than veterans with VA coverage to be vaccinated, and veterans without VA coverage were 6.7 percentage points (95% CI -10.3, -3.0) less likely to be vaccinated than those with VA coverage. VA coverage, compared with non-veteran status, was also associated with reduced racial/ethnic and income disparities in vaccination. CONCLUSIONS: VA coverage is associated with higher and more equitable influenza vaccination rates. A single-tier health system that emphasizes primary care may improve the uptake and equity of vaccination for influenza, and possibly other pathogens, like SARS-CoV2.

Primary Care for Veterans Experiencing Homelessness: a Narrative Review of the Homeless Patient Aligned Care Team (HPACT) Model.

In 2011, the U.S. Department of Veterans Health (VA) implemented a homeless-tailored primary care medical home model called the Homeless Patient Aligned Care Teams (HPACTs). The impact of HPACTs on health and healthcare outcomes of veterans experiencing homelessness has not been adequately synthesized. This narrative review summarized peer-reviewed studies published in databases Ovid MEDLINE, Ovid EMBASE, and APA PsycInfo from 1946 to February 2022. Only original research studies that reported outcomes of the HPACT model were included in the review. Of 575 studies that were initially identified and screened, 26 studies met inclusion criteria and were included in this review. Included studies were categorized into studies that described the following: (1) early HPACT pilot implementation; (2) HPACT's association with service quality and utilization; and (3) specialized HPACT programs. Together, studies in this review suggest HPACT is associated with reductions in emergency department utilization and improvements in primary care utilization, engagement, and positive patient experiences; however, the methodological rigor of the included studies was low, and thus, these findings should only be considered preliminary. There is a need for randomized controlled trials assessing the impact of the PACT model on key outcomes of interest, as well as to determine whether the model is a viable way to manage healthcare for persons experiencing homelessness outside of the VA system.

Prevalence and Cost of Care Cascades Following Low-Value Preoperative Electrocardiogram and Chest Radiograph Within the Veterans Health Administration.

BACKGROUND: Low-value care cascades, defined as the receipt of downstream health services potentially related to a low-value service, can result in harm to patients and wasteful healthcare spending, yet have not been characterized within the Veterans Health Administration (VHA). OBJECTIVE: To examine if the receipt of low-value preoperative testing is associated with greater utilization and costs of potentially related downstream health services in Veterans undergoing low or intermediate-risk surgery. DESIGN: Retrospective cohort study using VHA administrative data from fiscal years 2017-2018 comparing Veterans who underwent low-value preoperative electrocardiogram (EKG) or chest radiograph (CXR) with those who did not. PARTICIPANTS: National cohort of Veterans at low risk of cardiopulmonary disease undergoing low- or intermediate-risk surgery. MAIN MEASURES: Difference in rate of receipt and attributed cost of potential cascade services in Veterans who underwent low-value preoperative testing compared to those who did not KEY RESULTS: Among 635,824 Veterans undergoing low-risk procedures, 7.8% underwent preoperative EKG. Veterans who underwent a preoperative EKG experienced an additional 52.4 (95% CI 47.7-57.2) cascade services per 100 Veterans, resulting in $138.28 (95% CI 126.19-150.37) per Veteran in excess costs. Among 739,005 Veterans undergoing low- or intermediate-risk surgery, 3.9% underwent preoperative CXR. These Veterans experienced an additional 61.9 (95% CI 57.8-66.1) cascade services per 100 Veterans, resulting in $152.08 (95% CI $146.66-157.51) per Veteran in excess costs. For both cohorts, care cascades consisted largely of repeat tests, follow-up imaging, and follow-up visits, with low rates invasive services. CONCLUSIONS: Among a national cohort of Veterans undergoing low- or intermediate-risk surgeries, low-value care cascades following two routine low-value preoperative tests are common, resulting in greater unnecessary care and costs beyond the initial low-value service. These findings may guide de-implementation policies within VHA and other integrated healthcare systems that target those services whose downstream effects are most prevalent and costly.

Behavioral Health Provider Burnout and Mental Health Care in the Veterans Health Administration.

BACKGROUND: Although many studies assess predictors of provider burnout, few analyses provide high-quality, consistent evidence on the impact of provider burnout on patient outcomes exist, particularly among behavioral health providers (BHPs). OBJECTIVE: To assess the impact of burnout among psychiatrists, psychologists, and social workers on access-related quality measures in the Veterans Health Administration (VHA). DESIGN: This study used burnout in VA All Employee Survey (AES) and Mental Health Provider Survey (MHPS) data to predict metrics assessed by the Strategic Analytics for Improvement and Learning Value, Mental Health Domain (MH-SAIL), VHA's quality monitoring system. The study used prior year (2014-2018) facility-level burnout proportion among BHPs to predict subsequent year (2015-2019) facility-level MH-SAIL domain scores. Analyses used multiple regression models, adjusting for facility characteristics, including BHP staffing and productivity. PARTICIPANTS: Psychologists, psychiatrists, and social workers who responded to the AES and MHPS at 127 VHA facilities. MAIN MEASURES: Four compositive outcomes included two objective measures (population coverage, continuity of care), one subjective measure (experience of care), and one composite measure of the former three measures (mental health domain quality). KEY RESULTS: Adjusted analyses showed prior year burnout generally had no impact on population coverage, continuity of care, and patient experiences of care but had a negative impact on provider experiences of care consistently across 5 years (p < 0.001). Pooled across years, a 5% higher facility-level burnout in AES and MHPS had a 0.05 and 0.09 standard deviation worse facility experiences of care from the prior year, respectively. CONCLUSIONS: Burnout had a significant negative impact on provider-reported experiential outcome measures. This analysis showed that burnout had a negative effect on subjective but not on objective quality measures of Veteran access to care, which could inform future policies and interventions regarding provider burnout.