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Supplemental Digital Content is available in the text., Background: The 2014 Choice Act expanded the Veterans Health Administration’s (VA) capacity to purchase services for VA enrollees from community providers, yet little is known regarding the growth of Veterans’ primary care use in community settings. Objectives: The aim was to measure county-level growth in VA community-based primary care (CBPC) penetration following the Choice Act and to assess whether CBPC penetration increased in rural counties with limited access to VA facilities. Data and Sample: A total of 3132 counties from VA administrative data from 2015 to 2018, Area Health Resources Files, and County Health Rankings. Analysis: We defined the county-level CBPC penetration rate as the proportion of VA-purchased primary care out of all VA-purchased primary care (ie, within and outside VA). We estimated county-level multivariate linear regression models to assess whether rurality and supply of primary care providers and health care facilities were significantly associated with CBPC growth. Results: Nationally, CBPC penetration rates increased from 2.7% in 2015 to 7.3% in 2018. The rurality of the county was associated with a 2–3 percentage point (pp) increase in CBPC penetration growth (P

Supplemental Digital Content is available in the text., Background: The Veterans Choice Act of 2014 increased the number of Veterans eligible for Department of Veterans Affairs (VA)-purchased care delivered in non-VA community care (CC) facilities. Driving >40 miles from home to a VA facility is a key eligibility criterion for CC. It remains unclear whether this policy change improved geographical access by reducing drive distance for Veterans. Objectives: Describe the driving distance for Veterans receiving cataract surgery in VA and CC facilities, and if they visited the closest-to-home facility or if they drove to farther facilities. Subjects: Veterans who had cataract surgery in federal fiscal year 2015. Measures: We calculated driving miles to the Closest VA and CC facilities that performed cataract surgeries, and to the location where Veterans received care. Results: A total of 61,746 Veterans received 83,875 cataract surgeries. More than 50% of CC surgeries occurred farther than the Closest CC facility providing cataract surgery (median Closest CC facility 8.7 miles vs. Actual CC facility, 19.7 miles). Most (57%) Veterans receiving cataract surgery at a VA facility used the Closest VA facility (median Closest VA facility 28.1 miles vs. Actual VA facility at 31.2 miles). In all, 26.1% of CC procedures occurred in facilities farther away than the Closest VA facility. Conclusions: Although many Veterans drove farther than needed to get cataract surgery in CC, this was not true for obtaining care in the VA. Our findings suggest that there may be additional reasons, besides driving distance, that affect whether Veterans choose CC and, if they do, where they seek CC.

This cohort study examines changes in the use of Veterans Affairs (VA) and non-VA hospitals by VA enrollees and mortality associated with these policies.

Background The USA is undergoing a suicide epidemic for its youngest Veterans (18-to-34-years-old) as their suicide rate has almost doubled since 2001. Veterans are at the highest risk during their first-year post-discharge, thus creating a “deadly gap.” In response, the nation has developed strategies that emphasize a preventive, universal, and public health approach and embrace the value of community interventions. The three-step theory of suicide suggests that community interventions that reduce reintegration difficulties and promote connectedness for Veterans as they transition to civilian life have the greatest likelihood of reducing suicide. Recent research shows that the effectiveness of community interventions can be enhanced when augmented by volunteer and certified sponsors (1-on-1) who actively engage with Veterans, as part of the Veteran Sponsorship Initiative (VSI). Method/design The purpose of this randomized hybrid type 2 effectiveness-implementation trial is to evaluate the implementation of the VSI in six cities in Texas in collaboration with the US Departments of Defense, Labor and Veterans Affairs, Texas government, and local stakeholders. Texas is an optimal location for this large-scale implementation as it has the second largest population of these young Veterans and is home to the largest US military installation, Fort Hood. The first aim is to determine the effectiveness of the VSI, as evidenced by measures of reintegration difficulties, health/psychological distress, VA healthcare utilization, connectedness, and suicidal risk. The second aim is to determine the feasibility and potential utility of a stakeholder-engaged plan for implementing the VSI in Texas with the intent of future expansion in more states. The evaluators will use a stepped wedge design with a sequential roll-out to participating cities over time. Participants (n=630) will be enrolled on military installations six months prior to discharge. Implementation efforts will draw upon a bundled implementation strategy that includes strategies such as ongoing training, implementation facilitation, and audit and feedback. Formative and summative evaluations will be guided by the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework and will include interviews with participants and periodic reflections with key stakeholders to longitudinally identify barriers and facilitators to implementation. Discussion This evaluation will have important implications for the national implementation of community interventions that address the epidemic of Veteran suicide. Aligned with the Evidence Act, it is the first large-scale implementation of an evidence-based practice that conducts a thorough assessment of TSMVs during the “deadly gap.” Trial registration ClinicalTrials.gov ID number: NCT05224440. Registered on 04 February 2022.

To examine outpatient care fragmentation and its association with future hospitalization among patients at high risk for hospitalization.Veterans Affairs (VA) and Medicare data.We conducted a longitudinal study, using logistic regression to examine how outpatient care fragmentation in FY14 (as measured by number of unique providers, Breslau's Usual Provider of Care (UPC), Bice-Boxerman's Continuity of Care Index (COCI), and Modified Modified Continuity Index (MMCI)) was associated with all-cause hospitalizations and hospitalizations related to ambulatory care sensitive conditions (ACSC) in FY15. We also examined how fragmentation varied by patient's age, gender, race, ethnicity, marital status, rural status, history of homelessness, number of chronic conditions, Medicare utilization, and mental health care utilization.We extracted data for 130,704 VA patients ≥65 years old with a hospitalization risk ≥90th percentile and ≥ four outpatient visits in the baseline year.The mean (SD) of FY14 outpatient visits was 13.2 (8.6). Fragmented care (more providers, less care with a usual provider, more dispersed care based on COCI) was more common among patients with more chronic conditions and those receiving mental health care. In adjusted models, most fragmentation measures were not associated with all-cause hospitalization, and patients with low levels of fragmentation (more concentrated care based on UPC, COCI, and MMCI) had a higher likelihood of an ACSC-related hospitalization (AOR, 95% CI = 1.21 (1.09-1.35), 1.27 (1.14-1.42), and 1.28 (1.18-1.40), respectively).Contrary to expectations, outpatient care fragmentation was not associated with elevated all-cause hospitalization rates among VA patients in the top 10th percentile for risk of admission; in fact, fragmented care was linked to lower rates of hospitalization for ACSCs. In integrated settings such as the VA, multiple providers, and dispersed care might offer access to timely or specialized care that offsets risks of fragmentation, particularly for conditions that are sensitive to ambulatory care.

There are growing concerns that Veterans' increased use of Veterans Health Administration (VA)-purchased care in the community may lead to lower quality of care.We compared rates of hospital readmissions following elective total knee arthroplasties (TKAs) that were either performed in VA or purchased by VA through community care (CC) at both the national and facility levels.Three-year cohort study using VA and CC administrative data from the VA's Corporate Data Warehouse (October 1, 2016-September 30, 2019). We obtained Medicare data to capture readmissions that were paid by Medicare. We used the Centers for Medicare and Medicaid Services (CMS) methods to identify unplanned, 30-day, all-cause readmissions. A secondary outcome, TKA-related readmissions, identified readmissions resulting from complications of the index surgery. We ran mixed-effects logistic regression models to compare the risk-adjusted odds of all-cause and TKA-related readmissions between TKAs performed in VA versus CC, adjusting for patients' sociodemographic and clinical characteristics.Nationally, the odds of experiencing an all-cause or TKA-related readmission were significantly lower for TKAs performed in VA versus CC (eg, the odds of experiencing an all-cause readmission in VA were 35% of those in CC. At the facility level, most VA facilities performed similarly to their corresponding CC providers, although there were 3 VA facilities that performed worse than their corresponding CC providers.Given VA's history in providing high-quality surgical care to Veterans, it is important to closely monitor and track whether the shift to CC for surgical care will impact quality in both settings over time.

Healthcare fragmentation may lead to adverse consequences and may be amplified among older, sicker patients with mental health (MH) conditions.To determine whether older Veterans with MH conditions have more fragmented outpatient non-MH care, compared with older Veterans with no MH conditions.Retrospective cohort study using FY2014 Veterans Health Administration (VHA) administrative data linked to Medicare data.125,481 VHA patients ≥ 65 years old who were continuously enrolled in Medicare Fee-for-Service Parts A and B and were at high risk for hospitalization.The main outcome was non-MH care fragmentation as measured by (1) non-MH provider count and (2) Usual Provider of Care (UPC), the proportion of care with the most frequently seen non-MH provider. We tested the association between no vs. any MH conditions and outcomes using Poisson regression and fractional regression with logit link, respectively. We also compared Veterans with no MH condition with each MH condition and combinations of MH conditions, adjusting for sociodemographics, comorbidities, and drive-time to VHA specialty care.In total, 47.3% had at least one MH condition. Compared to those without MH conditions, Veterans with MH conditions had less fragmented care, with fewer non-MH providers (IRR = 0.96; 95% CI: 0.96-0.96) and more concentrated care with their usual provider (OR = 1.08 for a higher UPC; 95% CI: 1.07, 1.09) in adjusted models. Secondary analyses showed that those with individual MH conditions (e.g., depression) had fewer non-MH providers (IRR range: 0.86-0.98) and more concentrated care (OR range: 1.04-1.20). A similar pattern was observed when examining combinations of MH conditions (IRR range: 0.80-0.90; OR range: 1.16-1.30).Contrary to expectations, having a MH condition was associated with less fragmented non-MH care among older, high-risk Veterans. Further research will determine if this is due to different needs, underuse, or appropriate use of healthcare.

BACKGROUND: The 2014 Veterans Access, Choice and Accountability Act (i.e., “Choice”) allows eligible Veterans to receive covered health care outside the Veterans Affairs (VA) Healthcare System. The initial implementation of Choice was challenging, and use was limited in the first year. OBJECTIVE: To assess satisfaction with Choice, and identify reasons for satisfaction and dissatisfaction during its early implementation. DESIGN AND PARTICIPANTS: Semi-structured telephone interviews from July to September 2015 with Choice-eligible Veterans from 25 VA facilities across the USA. MAIN MEASURES: Satisfaction was assessed with 5-point Likert scales and open-ended questions. We compared ratings of satisfaction with Choice and VA health care, and identified reasons for satisfaction/dissatisfaction with Choice in a thematic analysis of open-ended qualitative data. RESULTS: Of 195 participants, 35 had not attempted to use Choice; 43 attempted but had not received Choice care (i.e., attempted only); and 117 attempted and received Choice care. Among those who attempted only, a smaller percentage were somewhat/very satisfied with Choice than with VA health care (17.9% and 71.8%, p

In response to widespread concerns regarding Veterans’ access to VA care, Congress enacted the Veterans Access, Choice and Accountability Act of 2014, which required VA to establish the Veterans Choice Program (VCP). Since the inception of VCP, more than two million Veterans have received care from community providers, representing approximately 25% of Veterans enrolled in VA care. However, expanded access to non-VA care has created challenges in care coordination between VA and community health systems. In March 2018, the VA Health Services Research & Development Service hosted a VA State of the Art conference (SOTA) focused on care coordination. The SOTA convened VA researchers, program directors, clinicians, and policy makers to identify knowledge gaps regarding care coordination within the VA and between VA and community systems of care. This article provides a summary and synthesis of relevant literature and provides recommendations generated from the SOTA about how to evaluate cross-system care coordination. Care coordination is typically evaluated using health outcomes including hospital readmissions and death; however, in cross-system evaluations of care coordination, measures such as access, cost, Veteran/patient and provider satisfaction (including with cross-system communication), comparable quality metrics, context (urban vs. rural), and patient complexity (medical and mental health conditions) need to be included to fully evaluate care coordination effectiveness. Future research should examine the role of multiple individuals coordinating VA and non-VA care, and how these coordinators work together to optimize coordination.

BACKGROUND: Not much is known about nonelderly veterans and their reliance on care from the Veterans Affairs (VA) health care system when they have access to non-VA care. OBJECTIVES: To estimate VA reliance for nonelderly veterans enrolled in VA and Medicaid. RESEARCH DESIGN: Retrospective, longitudinal analysis of Medicaid claims data and VA administrative data to compare patients’ utilization of VA and Medicaid services 12 months before and for up to 12 months after Medicaid enrollment began. SUBJECTS: Nonelderly veterans (below 65 y) receiving VA care and newly enrolled in Medicaid, calendar years 2006–2010 (N=19,890). MEASURES: VA reliance (proportion of care received in VA) for major categories of outpatient and inpatient care. RESULTS: Patients used VA outpatient care at similar levels after enrolling in Medicaid with the exceptions of emergency department (ED) and obstetrics/gynecology care, which decreased. VA inpatient utilization was similar after Medicaid enrollment for most types of care. VA-adjusted outpatient reliance was highest for mental health care (0.99) and lowest for ED care (0.02). VA-adjusted inpatient reliance was highest for respiratory (0.80) and cancer stays (0.80) and lowest for musculoskeletal stays (0.20). Associations between VA reliance and distance to VA providers varied by type of care. CONCLUSIONS: Veterans dually enrolled in Medicaid received most of their outpatient care from the VA except ED, obstetrics/gynecology, and dental care. Patients received most of their inpatient care from Medicaid except mental health, respiratory, and cancer care. Sensitivity to travel distance to VA providers explained some of these differences.

The Department of Veterans Affairs (VA) both delivers health care in its own facilities and, increasingly, purchases care for veterans in the community. Policy makers, administrators, health care providers, and veterans frequently face decisions about which services should be delivered versus purchased by the VA. Comparisons of quality across settings are essential if veterans are to receive care that is consistently accessible, patient centered, effective, and safe. We compared risk-adjusted major postoperative complication rates for total knee arthroplasties that were delivered in VA facilities versus purchased from community providers. Overall, adjusted complication rates were significantly lower for arthroplasties delivered by the VA compared with those that were purchased. However, hospital-level comparisons revealed five locations where VA-purchased care outperformed VA-delivered care. As the amount of VA-purchased care continues to increase under the Veterans Access, Choice, and Accountability Act of 2014 and the VA Maintaining Internal Systems and Strengthening Integrated Outside Networks Act of 2018, these results support VA monitoring of overall and local comparative hospital performance to improve the quality of the care that the VA delivers while ensuring optimal outcomes in VA-purchased care.

Timely access to outpatient care was a primary driver behind the Department of Veterans Affairs' (VA's) increased purchase of community-based care under the Veterans Access, Choice, and Accountability Act of 2014, known as the Choice Act. To compare veterans' experiences in VA-delivered and community-based outpatient care after implementation of the act, we assessed veterans' scores on four dimensions of experience-access, communication, coordination, and provider rating-for outpatient specialty, primary, and mental health care received during 2016-17. Patient experiences were better for VA than for community care in all respects except access. For specialty care, access scores were better in the community; for primary and mental health care, access scores were similar in the two settings. Although all specialty care scores and the primary care coordination score improved over time, the gaps between settings did not shrink. As purchased care further expands under the VA Maintaining Internal Systems and Strengthening Integrated Outside Networks Act of 2018, which replaced the Choice Act in 2019, monitoring of meaningful differences between settings should continue, with the results used to inform both VA purchasing decisions and patients' care choices.

Background In the Veterans Health Administration (VHA) there is growing interest in the use of nonpharmacologic treatment (NPT) for low back pain (LBP) as pain intensity and interference do not decrease with opioid use. Objectives To describe overall and facility-level variation in the extent to which specific NPT modalities are used in VHA for LBP, either alone or as adjuncts to opioid medications, and to understand associations between veterans' clinical and demographic characteristics and type of treatment. Research design This retrospective cohort study examined use of opioids and 21 specific NPT modalities used by veterans. Subjects VHA-enrolled Iraq and Afghanistan veterans who utilized care in ("linked" to) 130 VHA facilities within 12 months after their separation from the Army between fiscal years 2008-2011, and who were diagnosed with LBP within 12 months after linkage (n=49,885). Measures Measures included per patient: days' supply of opioids, number of visits for NPT modalities, and pain scores within one year after a LBP diagnosis. Results Thirty-four percent of veterans filled a prescription for opioids, 35% utilized at least 1 NPT modality, and 15% used both within the same year. Most patients with LBP receiving NPT, on average, had moderate pain (36%), followed by low pain (27%), severe pain (15%), and no pain (11%). Eleven percent had no pain scores recorded. Conclusions About 65% of VHA patients with a LBP diagnosis did not receive NPT, and about 43% of NPT users also were prescribed an opioid. Understanding utilization patterns and their relationship with patient characteristics can guide pain management decisions and future study.

The Veterans Choice Program (VCP), enacted by Congress after concerns surfaced about access, enables veterans to receive care outside Veterans Health Administration (VHA) facilities. Veterans who face long wait times, large driving distances, or particular hardships are eligible for VCP. Prior purchased care programs were comparatively limited in scope.We sought to describe utilization of VHA-provided and purchased outpatient care by veterans eligible for VCP before and after VCP implementation. We focused on veterans recently eligible for VHA as they are of particular policy relevance and might have less established care patterns.We identified all Iraq and Afghanistan veterans who were eligible for VCP in 2015. We tabulated their use of VHA and purchased outpatient care for 3 years before (FY2012-2014) and 1 year after VCP implementation (FY2015).Our study population consisted of 214,449 Iraq and Afghanistan veterans who were eligible for VCP due to wait-time, distance, or hardship issues.In the first year of the program, 3821 (2%) of these Iraq and Afghanistan veterans used non-VHA services through VCP. Per capita VHA utilization tended to decline slightly after VCP implementation, but these changes varied by type of outpatient care.There was low uptake of VCP services in the first year of the program. Data from additional years are needed to better understand the impact of this policy.

Background Measures of substance use disorder (SUD) treatment quality are essential tools for performance improvement. The Veterans Health Administration (VHA) developed a measure of access to and engagement in intensive outpatient programs (IOPs) for SUD. However, predictive validity, or associations between this measure and treatment outcomes, has not been examined. Methods Data on veterans with SUD came from 3 samples: the Outcomes Monitoring Project ( N = 5436), a national evaluation of VHA mental health services ( N = 339,887), and patients receiving detoxification services ( N = 23,572). Propensity score–weighted mixed-effects regressions modeled associations between receiving at least 1 week of IOP treatment and patient outcomes, controlling for facility-level performance and a random effect for facility. Results Propensity score weighting reduced or eliminated observable baseline differences between patient groups. Patients who accessed IOPs versus those who did not reported significantly reduced alcohol- and drug-related symptom severity, with significantly fewer past-month days drinking alcohol ( b = 1.83, P < .001) and fewer past-month days intoxicated ( b = 1.55, P < .001). Patients who received IOP after detoxification services had higher 6-month utilization of SUD outpatient visits ( b = 2.09, P < .001), more subsequent detoxification episodes ( b = 0.25, P < .001), and lower odds of 2-year mortality (odds ratio [OR] = 0.68, 95% confidence interval [CI]: 0.61–0.75; P < .001). Conclusions Receiving at least 1 week of SUD treatment in an IOP was associated with higher follow-up utilization, improved health outcomes, and reduced mortality. These associations lend support to the predictive validity of VHA's IOP quality measure. Future research should focus on measure feasibility and validity outside of VHA, and whether predictive validity is maintained once this quality measure is tied to performance incentives.

Objectives To examine how dual coverage for nonelderly, low-income veterans by Veterans Affairs (VA) and Medicaid affects their demand for care. Data Sources Veterans Affairs utilization data and Medicaid Analytic Extract Files. Study Design A retrospective, longitudinal study of VA users prior to and following enrollment in Medicaid 2006–2010. Data Collection/Extraction Methods Veterans Affairs reliance, or proportion of care provided by VA, was estimated with beta-binomial models, adjusting for patient and state Medicaid program factors. Principal Findings In a cohort of 19,890 nonelderly veterans, VA utilization levels were similar before and after enrolling in Medicaid. VA outpatient reliance was 0.65, and VA inpatient reliance was 0.53 after Medicaid enrollment. Factors significantly associated with greater VA reliance included sociodemographic factors, having a service-connected disability, comorbidity, and higher state Medicaid reimbursement. Factors significantly associated with less VA reliance included months enrolled in Medicaid, managed care enrollment, Medicaid eligibility type, longer drive time to VA care, greater Medicaid eligibility generosity, and better Medicaid quality. Conclusion Veterans Affairs utilization following new Medicaid enrollment remained relatively unchanged, and the VA continued to provide the large majority of care for dually enrolled veterans. There was variation among patients as Medicaid eligibility and other program factors influenced their use of Medicaid services.

OBJECTIVES Care coordination for substance use disorder (SUD) treatment is a persistent challenge. Timely outpatient follow-up after detoxification from alcohol and opiates is associated with improved outcomes, leading some care systems to attempt to measure and incentivize this practice. This study evaluated the predictive validity of a 7-day outpatient follow-up after detoxification quality measure used by the Veterans Health Administration (VHA). METHODS A national sample of patients who received detoxification from alcohol or opiates (N = 25,354) was identified in VHA administrative data. Propensity score-weighted mixed-effects regressions modeled associations between receiving an outpatient follow-up visit within 7 days of completing detoxification and patient outcomes, controlling for facility-level performance and clustering of patients within facilities. RESULTS Baseline differences between patients who did (39.6%) and did not (60.4%) receive the follow-up visit were reduced or eliminated with propensity score weighting. Meeting the quality measure was associated with significantly more outpatient treatment for SUD (b = 1.07 visits) and other mental health conditions (b = 0.58 visits), and higher inpatient utilization for SUD (b = 0.75 admissions) and other mental health conditions (b = 0.76 admissions). Notably, meeting the quality measure was associated with 53.3% lower odds of 2-year mortality (P

Process measures of healthcare quality are usually formulated as the number of patients who receive evidence-based treatment (numerator) divided by the number of patients in the target population (denominator). When the systems being evaluated can influence which patients are included in the denominator, it is reasonable to wonder if improvements in measured quality are driven by expanding numerators or contracting denominators. In 2003, the US Department of Veteran Affairs (VA) based executive compensation in part on performance on a substance use disorder (SUD) continuity-of-care quality measure. The first goal of this study was to evaluate if implementing the measure in this way resulted in expected improvements in measured performance. The second goal was to examine if the proportion of patients with SUD who qualified for the denominator contracted after the quality measure was implemented, and to describe the facility-level variation in and correlates of denominator contraction or expansion. Using 40 quarters of data straddling the implementation of the performance measure, an interrupted time series design was used to evaluate changes in two outcomes. All veterans with an SUD diagnosis in all VA facilities from fiscal year 2000 to 2009. The two outcomes were 1) measured performance—patients retained/patients qualified and 2) denominator prevalence—patients qualified/patients with SUD program contact. Measured performance improved over time (P

OBJECTIVE: To examine Veterans Health Administration (VA) enrollees' use of VA services for treatment of behavioral health conditions (BHCs) after gaining Medicaid, and if VA reliance varies by complexity of BHCs. DATA SOURCES/STUDY SETTING: VA and Medicaid Analytic eXtract utilization data from 31 states, 2006‐2010. STUDY DESIGN: A retrospective, longitudinal study of Veterans enrolled in VA care in the year before and year after enrollment in Medicaid among 7,249 nonelderly Veterans with serious mental illness (SMI), substance use disorder (SUD), posttraumatic stress disorder (PTSD), depression, or other BHCs. DATA COLLECTION/EXTRACTION METHODS: Utilization and VA reliance (proportion of care received at VA) for BH outpatient and inpatient services in unadjusted and adjusted analyses. PRINCIPAL FINDINGS: In adjusted analyses, we found that overall Veterans did not significantly change their use of VA outpatient BH services after Medicaid enrollment. In beta‐binomial models predicting VA BH outpatient reliance, veterans with SMI (IRR = 1.38, p

OBJECTIVE: To assess differences in risk (measured by expected costs associated with sociodemographic and clinical profiles) between Veterans receiving outpatient services through two community care (CC) programs: the Fee program (“Fee”) and the Veterans Choice Program (“Choice”). DATA SOURCES/STUDY SETTING: Administrative data from VHA's Corporate Data Warehouse in fiscal years (FY) 2014–2015. STUDY DESIGN: We compared the clinical characteristics of Veterans across three groups (Fee only, Choice only, and Fee & Choice). We classified Veterans into risk groups based on Nosos risk scores and examined the relationship between type of outpatient utilization and risk within each CC group. We also examined changes in utilization of VHA and CC in FY14–FY15. We used chi‐square tests, t tests, and ANOVAs to identify significant differences between CC groups. PRINCIPAL FINDINGS: Of the 1,400,977 Veterans using CC in FY15, 91.4 percent were Fee‐only users, 4.4 percent Choice‐only users, and 4.2 percent Fee & Choice users. Mean concurrent risk scores were higher for Fee only and Fee & Choice (1.9, SD = 2.7; 1.8, SD = 2.2) compared to Choice‐only users (1.0, SD = 1.2) (p

Objective To estimate health care utilization and costs incurred by homeless Veterans relative to nonhomeless Veterans and to examine the impact of a VA homelessness program on these outcomes. Data sources/study setting Combined Department of Veterans Affairs (VA) administrative and Medicare claims data. Study design Observational study using longitudinal data from Veterans engaged with the VA system and enrolled in Medicare. Veterans with administrative evidence of homelessness at any point during 2006-2010 were matched on period of military service to Veterans with no evidence of homelessness. Principal findings Experience of homelessness was associated with 1.37 (95 percent CI = 1.34-1.40) and 0.16 (95 percent CI = 0.14-0.17) more outpatient encounters per quarter in VA and non-VA settings, respectively, and 1.31 (95 percent CI = 1.30-1.32) and 0.49 (95 percent CI = 0.48-0.49) more inpatient days per quarter in VA and non-VA hospitals, respectively. These were associated with higher costs. Relative to stably housed Veterans less than 65 years of age, those enrolled in a VA homelessness program had 94.4 percent (95 percent CI = 90.7 percent-98.1 percent) more VA outpatient visits but 5.5 percent (95 percent CI = 3.0 percent-7.9 percent) fewer Medicare outpatient visits. Conclusions Homelessness was associated with an increase in VA and Medicare utilization and cost. A VA homelessness program decreased use of Medicare outpatient services.

INTRODUCTION The passage of the Veterans Access, Choice, and Accountability Act of 2014 has expanded the non-Veteran Affairs (VA) care options for eligible US Veterans. In order for these new arrangements to provide the best care possible for Veterans, it is important to understand the relationship between VA and non-VA care options. The purpose of this study was to use another recent VA policy change, one that increased the reimbursement rate that eligible Veterans receive for travel for health care to VA, to understand the use of VA and Medicare services among Medicare-enrolled Veterans. METHODS We used a difference-in-difference technique to compare inpatient and outpatient utilization and cost in VA and Medicare between Veterans who were eligible for travel reimbursement and those who were not eligible following 2 increases in the travel reimbursement rate. We used generalized estimating equation models and 2-part models when cost outcomes were rare. RESULTS Our cohort consisted of 110,007 Medicare-enrolled Veterans, including 25,076 under 65 and 84,931 over 65 years old. Following the travel reimbursement rate increases, the number of VA outpatient encounters increased for Veterans in our cohort regardless of age group or whether living in an urban or rural area. The number of non-VA outpatient encounters decreased significantly for Veterans in both age groups living in rural areas following these policy changes. CONCLUSIONS Our estimates suggest that VA outpatient care may be a substitute for Medicare outpatient care for Medicare-enrolled Veterans living in rural areas. These results are important because they indicate how Veteran health care utilization might be affected by future policy changes designed to increase access to VA services. They also indicate the ripple effects that may occur in other health systems due to changes in the VA system.

Approximately three to six months after returning from deployment, military service members complete the Post-Deployment Health Reassessment (PDHRA), which includes screens for alcohol misuse, depression, and posttraumatic stress disorder (PTSD). To determine whether Army Reserve Component (RC) members (Army National Guard and Army Reserve) with positive screening scores on the PDHRA receive needed care, the investigators examined the association between positive scores and enrollment and utilization of care ("linkage") in the Veterans Health Administration (VHA), as well as rescreening scores, diagnosis, and behavioral treatment in VHA.Mixed-effects regression models were used to predict linkage to VHA within six months after RC members (N=73,164) completed the PDHRA, with alcohol misuse, depression, and PTSD screen scores as key independent variables. Regression models were stratified by gender and National Guard versus Reserve status. Among those who linked to VHA (N=25,168), screening scores and subsequent diagnosis and treatment in VHA were also examined.Army RC members with positive PTSD and depression screening scores were more likely than those with negative screens to link to VHA, and most (54%-84%) received VHA treatment once diagnosed. Positive screens for alcohol misuse were associated with linkage to VHA for men but not for women, and treatment rates for alcohol use disorders were relatively low (0%-25%) for both men and women diagnosed as having an alcohol use disorder.The finding that Army RC members with greater indications of behavioral health problems linked to VHA is encouraging. However, more outreach and treatment engagement strategies could be directed to those with alcohol use disorder, particularly women.

This study described the rate and predictors of Operation Enduring Freedom/Operation Iraqi Freedom active duty Army members' enrollment in and use of Veterans Health Administration (VHA) services (linkage), as well as variation in linkage rates by VHA facility. We used a multivariate mixed effect regression model to predict linkage to VHA, and also calculated linkage rates in the catchment areas of each facility (n = 158). The sample included 151,122 active duty members who deployed to Iraq or Afghanistan and then separated from the Army between fiscal years 2008 and 2012. Approximately 48% of the active duty members separating utilized VHA as an enrollee within one year. There was significant variation in linkage rates by VHA facilities (31-72%). The most notable variables associated with greater linkage included probable serious injury during index deployment (odds ratio = 1.81), separation because of disability (odds ratio = 2.86), and various measures of receipt of VHA care before and after separation. Information about the individual characteristics that predict greater or lesser linkage to VHA services can be used to improve delivery of health care services at VHA as well as outreach efforts to active duty Army members.