Veteran Use of Health Care Systems in Rural States: Comparing VA and Non-VA Health Care Use Among Privately Insured Veterans Under Age 65

Trajectories and Transitions in Service Use Among Older Veterans at High Risk of Long-Term Institutional Care

BACKGROUND

We aimed to identify combinations of long-term services and supports (LTSS) Veterans use, describe transitions between groups, and identify factors influencing transition.

METHODS

We explored LTSS across a continuum from home to institutional care. Analyses included 104,837 Veterans Health Administration (VHA) patients 66 years and older at high-risk of long-term institutional care (LTIC). We conduct latent class and latent transition analyses using VHA and Medicare data from fiscal years 2014 to 2017. We used logistic regression to identify variables associated with transition.

RESULTS

We identified 5 latent classes: (1) No Services (11% of sample in 2015); (2) Medicare Services (31%), characterized by using LTSS only in Medicare; (3) VHA-Medicare Care Continuum (19%), including LTSS use in various settings across VHA and Medicare; (4) Personal Care Services (21%), characterized by high probabilities of using VHA homemaker/home health aide or self-directed care; and (5) Home-Centered Interdisciplinary Care (18%), characterized by a high probability of using home-based primary care. Veterans frequently stayed in the same class over the three years (30% to 46% in each class). Having a hip fracture, self-care impairment, or severe ambulatory limitation increased the odds of leaving No Services, and incontinence and dementia increased the odds of entering VHA-Medicare Care Continuum. Results were similar when restricted to Veterans who survived during all 3 years of the study period.

CONCLUSIONS

Veterans at high risk of LTIC use a combination of services from across the care continuum and a mix of VHA and Medicare services. Service patterns are relatively stable for 3 years.

Racial disparities in prosthesis abandonment and mobility outcomes after lower limb amputation from a dysvascular etiology in a veteran population

BACKGROUND

Non-Hispanic Black (NHB) individuals have higher rates of amputation and increased risk of a transfemoral amputation due to dysvascular disease than non-Hispanic White (NHW) individuals. However, it is unclear if NHB individuals have differences in prosthesis use or functional outcomes following an amputation.

OBJECTIVE

To determine if there are racial disparities in prosthesis abandonment and mobility outcomes in veterans who have undergone their first major unilateral lower extremity amputation (LEA) due to diabetes and/or peripheral artery disease.

DESIGN

National cohort study that identified individuals retrospectively through the Veterans Affairs (VA) Corporate Data Warehouse (CDW) from March 1, 2018, to November 30, 2020, then prospectively collected their self-reported prosthesis abandonment and mobility. Multiple logistic regression was used to control for potential confounders and identify potential effect modifiers.

SETTING

The VA CDW, participant mailings and phone calls.

PARTICIPANTS

Three hundred fifty-seven individuals who underwent an incident transtibial or transfemoral amputation due to diabetes and/or peripheral arterial disease.

INTERVENTIONS

Not applicable.

MAIN OUTCOMES MEASURES

(1) Self-reported prosthesis abandonment. (2) Level of mobility assessed using the Locomotor Capabilities Index.

RESULTS

Rurally located NHB individuals without a major depressive disorder (MDD) had increased odds of abandoning their prosthesis (adjusted odds ratios [aOR] = 5.3; 95% confidence interval [CI]: [1.3-21.1]). This disparity was nearly three times as large for rurally located NHB individuals with MDD diagnosis, compared with other races from rural areas and with MDD (aOR = 15.8; 95% CI, 2.5-97.6). NHB individuals living in an urban area were significantly less likely to achieve advanced mobility, both with MDD (aOR=0.16; 95% CI: [0.04-7.0]) and without MDD (aOR = 0.26; 95% CI: [0.09-0.73]).

CONCLUSIONS

This study demonstrated that health care disparities persist for NHB veterans following a dysvascular LEA, with increased prosthesis abandonment and worse mobility outcomes.

Prevalence and Correlates of VA-Purchased Community Care Use Among Post-9/11-Era Veterans With Traumatic Brain Injury

OBJECTIVE

Post-9/11-era veterans with traumatic brain injury (TBI) have greater health-related complexity than veterans overall, and may require coordinated care from TBI specialists such as those within the Department of Veterans Affairs (VA) healthcare system. With passage of the Choice and MISSION Acts, more veterans are using VA-purchased care delivered by community providers who may lack TBI training. We explored prevalence and correlates of VA-purchased care use among post-9/11 veterans with TBI.

SETTING

Nationwide VA-purchased care from 2016 through 2019.

PARTICIPANTS

Post-9/11-era veterans with clinician-confirmed TBI based on VA's Comprehensive TBI Evaluation (N = 65 144).

DESIGN

This was a retrospective, observational study.

MAIN MEASURES

Proportions of veterans who used VA-purchased care and both VA-purchased and VA-delivered outpatient care, overall and by study year. We employed multivariable logistic regression to assess associations between veterans' sociodemographic, military history, and clinical characteristics and their likelihood of using VA-purchased care from 2016 through 2019.

RESULTS

Overall, 51% of veterans with TBI used VA-purchased care during the study period. Nearly all who used VA-purchased care (99%) also used VA-delivered outpatient care. Veterans' sociodemographic, military, and clinical characteristics were associated with their likelihood of using VA-purchased care. Notably, in adjusted analyses, veterans with moderate/severe TBI (vs mild), those with higher health risk scores, and those diagnosed with posttraumatic stress disorder, depression, anxiety, substance use disorders, or pain-related conditions had increased odds of using VA-purchased care. Additionally, those flagged as high risk for suicide also had higher odds of VA-purchased care use.

CONCLUSIONS

Veterans with TBI with greater health-related complexity were more likely to use VA-purchased care than their less complex counterparts. The risks of potential care fragmentation across providers versus the benefits of increased access to care are unknown. Research is needed to examine health and functional outcomes among these veterans.

Understanding Patients' Preferences and Experiences During an Electronic Health Record Transition

BACKGROUND

The Department of Veterans Affairs (VA) has embarked on the largest system-wide electronic health record (EHR) transition in history. To date, most research on EHR-to-EHR transitions has focused on employee and system transition-related needs, with limited focus on how patients experience transitions.

OBJECTIVE

(1) Understand patients' preferences for information and support prior to an EHR transition, and (2) examine actual patient experiences that occurred at facilities that implemented a new EHR.

DESIGN

We used a two-step approach. We had discussions with geographically diverse patient advisory groups. Discussions informed semi-structured, qualitative interviews with patients.

PARTICIPANTS

Patients affected by the EHR transition.

MAIN MEASURES

We met with four patient advisory groups at sites that had not transitioned their EHR. Interviews were conducted with patients who received care at one of two facilities that recently transitioned to the new EHR.

KEY RESULTS

Patient advisors identified key areas important to patients during an EHR transition. 1) Use a range of communication strategies to reach diverse populations, especially older, rural patients. 2) Information about the EHR transition should be clear and reinforce trustworthiness. 3) Patients will need guidance using the new patient portal. From the patient interviews, we learned if and how these key areas mapped onto patients' experiences. Patients at the sites that had transitioned learned about the new EHR through a variety of modalities, including letters and banners on the patient portal. However, their experiences varied in terms of information quality, leading to frustrations during and between healthcare encounters. Patient portal issues exacerbated frustrations. These raised concerns about the accuracy and security of the overall EHR.

CONCLUSIONS

Maintaining clear communication across patients, local leadership, and providers throughout an EHR transition is essential for successful implementation. Patient-facing communications can set expectations, and help patients receive adequate support, particularly related to the patient portal.

VA-Delivered or VA-Purchased Care: Important Factors for Veterans Navigating Care Decisions

BACKGROUND/OBJECTIVE

The VA MISSION Act aimed to increase Veterans' access to care by allowing eligible Veterans to use VA-paid care from non-VA providers ("VA-purchased care"). We interviewed Veterans who were eligible for both VA-delivered and VA-purchased care to examine factors they consider when making decisions about whether to use VA-delivered or VA-purchased care.

METHODS

We conducted semi-structured interviews with 28 Veterans across the USA who were eligible for VA-delivered and VA-purchased care, using deductive and inductive analysis to develop themes. Participants were recruited from a survey about healthcare access and decision-making. More than half of participants lived in rural areas, 21 were men, and 25 were > 50 years old.

KEY RESULTS

Veteran participants identified (1) high-quality relationships with providers based on mutual trust, empathy, authenticity, and continuity of care, and (2) a positive environment or "eco-system of care" characterized by supportive interactions with staff and other Veterans, and exemplary customer service as integral to their decisions about where to receive care. These preferences influenced their engagement with VA and non-VA providers. We discovered corresponding findings related to Veterans' information needs. When making decisions around where to receive care, participants said they would like more information about VA and non-VA providers and services, and about coordination of care and referrals, including understanding processes and implications of utilizing VA-purchased care.

DISCUSSION/CONCLUSION

Current VA-purchased care eligibility determinations focus on common access metrics (e.g., wait times, distance to care). Yet, Veterans discussed other important factors for navigating care decisions, including patient-provider relationship quality and the larger healthcare environment (e.g., interactions with staff and other Veterans). Our findings point to the need for health systems to collect and provide information on these aspects of care to ensure care decisions reflect what is important to Veterans when navigating where to receive care.

Long drives and red tape: mapping rural veteran access to primary care using causal-loop diagramming

Background

Rural veterans experience more challenges than their urban peers in accessing primary care services, which can negatively impact their health and wellbeing. The factors driving this disparity are complex and involve patient, clinic, health system, community and policy influences. Federal policies over the last decade have relaxed requirements for some veterans to receive primary care services from community providers through their VA benefits, known as community care.

Methods

We used a participatory systems mapping approach involving causal-loop diagramming to identify interrelationships between variables underlying challenges to veteran access to primary care and potential opportunities for change—known as leverage points in systems science. Our methods involved a secondary analysis of semi-structured qualitative interviews with rural veterans, VA staff, non-VA clinic staff and providers who serve rural veterans, and veteran service officers (VSOs) in the Northwest region of the US, followed by a two-part participatory modeling session with a study advisory board. We then applied Meadows’s leverage point framework to identify and categorize potential interventions to improve rural veteran access to primary care.

Results

The final model illustrated challenges at the veteran, clinic, and system levels as experienced by stakeholders. Main components of the diagram pertained to the choice of VA or non-VA primary care, veteran satisfaction with the VA, enrollment in VA benefits and other insurance, community care authorization, reimbursement of non-VA care, referrals to specialty care, record sharing and communication between VA and non-VA providers, institutional stability of the VA, and staffing challenges. Fourteen interventions, including administrative and communications changes, were identified by analyzing the model using the leverage points framework.

Conclusions

Our findings illustrate how challenges rural veterans face accessing health care are interconnected and persist despite recent changes to federal law pertaining to the VA health care system in recent years. Systems mapping and modeling approaches such as causal-loop diagramming have potential for engaging stakeholders and supporting intervention and implementation planning.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-022-08318-2.

Comparing Veterans Affairs and Private Sector Perioperative Outcomes After Noncardiac Surgery

Importance

Recent legislation facilitates veterans' ability to receive non-Veterans Affairs (VA) surgical care. However, contemporary data comparing the quality and safety of VA and non-VA surgical care are lacking.

Objective

To compare perioperative outcomes among veterans treated in VA hospitals with patients treated in private-sector hospitals.

Design, Setting, and Participants

This cohort study took place across 8 noncardiac specialties in the Veterans Affairs Surgical Quality Improvement Program (VASQIP) and American College of Surgeons National Surgical Quality Improvement Program (NSQIP) from January 1, 2015, through December 31, 2018. Multivariable log-binomial modeling was used to evaluate the association between VA vs private sector care settings and 30-day mortality. Unmeasured confounding was quantified using the E-value. Patients 18 years and older undergoing a noncardiac procedures were included.

Exposures

Surgical care in either a VA or private sector setting.

Main Outcomes and Measures

Primary outcome was 30-day postoperative mortality. Secondary outcome was failure to rescue, defined as a postoperative death after a complication.

Results

Of 3 910 752 operations (3 174 274 from NSQIP and 736 477 from VASQIP), 1 498 984 (92.1%) participants in NSQIP were male vs 678 382 (47.2%) in VASQIP (mean difference, -0.449 [95% CI, -0.450 to -0.448]; P < .001), and 441 894 (60.0%) participants in VASQIP were frail or very frail vs 676 525 (21.3%) in NSQIP (mean difference, -0.387 [95% CI, -0.388 to -0.386]; P < .001). Overall, rates of 30-day mortality, complications, and failure to rescue were 0.8%, 9.5%, and 4.7%, respectively, in NSQIP (n = 3 174 274 operations) and 1.1%, 17.1%, and 6.7%, respectively in VASQIP (736 477) (differences in proportions, -0.003 [95% CI, -0.003 to -0.002]; -0.076 [95% CI, -0.077 to -0.075]; 0.020 [95% CI, 0.018-0.021], respectively; P < .001). Compared with private sector care, VA surgical care was associated with a lower risk of perioperative death (adjusted relative risk, 0.59 [95% CI, 0.47-0.75]; P < .001). This finding was robust in multiple sensitivity analyses performed, including among patients who were frail and nonfrail, with or without complications, and undergoing low and high physiologic stress procedures. These findings were also consistent when year was included as a covariate and in nonparsimonious modeling for patient-level factors. Compared with private sector care, VA surgical care was also associated with a lower risk of failure to rescue (adjusted relative risk, 0.55 [95% CI, 0.44-0.68]). An unmeasured confounder (present disproportionately in NSQIP data) would require a relative risk of 2.78 [95% CI, 2.04-3.68] to obviate the main finding.

Conclusions and Relevance

VA surgical care is associated with lower perioperative mortality and decreased failure to rescue despite veterans having higher-risk characteristics. Given the unique needs and composition of the veteran population, health policy decisions and budgetary appropriations should reflect these important differences.

Interorganizational Care Coordination of Rural Veterans by Veterans Affairs and Community Care Programs: A Systematic Review

BACKGROUND

In the unique context of rural Veterans' health care needs, expansion of US Department of Veterans Affairs and Community Care programs under the MISSION Act, and the uncertainties of coronavirus disease 2019 (COVID-19), it is critical to understand what may support effective interorganizational care coordination for increased access to high-quality care.

OBJECTIVES

We conducted a systematic review to examine the interorganizational care coordination initiatives that Veterans Affairs (VA) and community partners have pursued in caring for rural Veterans, including challenges and opportunities, organizational domains shaping care coordination, and among these, initiatives that improve or impede health care outcomes.

RESEARCH DESIGN

We followed Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to search 2 electronic databases (PubMed and Embase) for peer-reviewed articles published between January 2009 and May 2020. Building on prior research, we conducted a systematic review.

RESULTS

Sixteen articles met our criteria. Each captured a unique health care focus while examining common challenges. Four organizational domains emerged: policy and administration, culture, mechanisms, and relational practices. Exemplars highlight how initiatives improve or impede rural health care delivery.

CONCLUSIONS

This is the first systematic review, to our knowledge, examining interorganizational care coordination of rural Veterans by VA and Community Care programs. Results provide exemplars of interorganizational care coordination domains and program effectiveness. It suggests that partners' efforts to align their coordination domains can improve health care, with rurality serving as a critical contextual factor. Findings are important for policies, practices, and research of VA and Community Care partners committed to improving access and health care for rural Veterans.

Behavioral Health Screening and Care Coordination for Rural Veterans in a Federally Qualified Health Center

Many rural veterans receive care in community settings but could benefit from VA services for certain needs, presenting an opportunity for coordination across systems. This article details the Collaborative Systems of Care (CSC) program, a novel, nurse-led care coordination program identifying and connecting veterans presenting for care in a Federally Qualified Health Center to VA behavioral health and other services based upon the veteran’s preferences and eligibility. The CSC program systematically identifies veteran patients, screens for common behavioral health issues, explores VA eligibility for interested veterans, and facilitates coordination with VA to improve healthcare access. While the present program focuses on behavioral health, there is a unique emphasis on assisting veterans with the eligibility and enrollment process and coordinating additional care tailored to the patient. As VA expands its presence in community care, opportunities for VA-community care coordination will increase, making the development and implementation of such interventions important.

VA-Community Dual Care: Veteran and Clinician Perspectives

Many veterans receive care in both community settings and the VA. Recent legislation has increased veteran access to community providers, raising concerns about safety and coordination. This project aimed to understand the benefits and challenges of dual care from the perceptions of both the Veterans their clinicians. We conducted surveys and focus groups of veterans who use both VA and community care in VT and NH. We also conducted a web-based survey and a focus group involving primary care clinicians from both settings. The main measures included (1) reasons that veterans seek care in both settings; (2) problems faced by veterans and clinicians; (3) association of health status and ease of managing care with sites of primary care; and (4) association of veteran rurality with dual care experiences. The primary reasons veterans reported for using both VA and community care were (1) for convenience, (2) to access needed services, and (3) to get a second opinion. Veterans reported that community and VA providers were informed about the others' care more than half the time. Veterans in isolated rural towns reported better overall health and ease of managing their care. VA and community primary care clinicians reported encountering systems problems with dual-care including communicating medication changes, sharing lab and imaging results, communicating with specialists, sharing discharge summaries and managing medication renewals. Both Veterans and their primary clinicians report substantial system issues in coordinating care between the VA and the community, raising the potential for significant patient safety and Veteran satisfaction concerns.

Perspectives of Clinicians, Staff, and Veterans in Transitioning Veterans from non-VA Hospitals to Primary Care in a Single VA Healthcare System

BACKGROUND

Veterans with healthcare needs utilize both Veterans Health Administration (VA) and non-VA hospitals. These dual-use veterans are at high risk of adverse outcomes due to the lack of coordination for safe transitions.

OBJECTIVES

The aim of this study was to understand the barriers and facilitators to providing high-quality continuum of care for veterans transitioning from non-VA hospitals to the VA primary care setting.

DESIGN

Guided by the practical robust implementation and sustainability model (PRISM) and the ideal transitions of care, we conducted a qualitative assessment using semi-structured interviews with clinicians, staff, and patients.

SETTING

This study was conducted at a single urban VA medical center and two non-VA hospitals.

PARTICIPANTS

A total of 70 participants, including 52 clinicians and staff (23 VA and 29 non-VA) involved in patient transition and 18 veterans recently discharged from non-VA hospitals, were included in this study.

APPROACH

Data were analyzed using a conventional content analysis and managed in Atlas.ti (Berlin, Germany).

RESULTS

Four major themes emerged where participants consistently discussed that transitions were delayed when they were not able to (1) identify patients as veterans and notify VA primary care of discharge, (2) transfer non-VA hospital medical records to VA primary care, (3) obtain follow-up care appointments with VA primary care, and (4) write VA formulary medications for veterans that they could fill at VA pharmacies. Participants also discussed factors involved in smooth transition and recommendations to improve care coordination.

CONCLUSIONS

All participants perceived the current transition-of-care process across healthcare systems to be inefficient. Efforts to improve quality and safety in transitional care should address the challenges clinicians and patients experience when transitioning from non-VA hospitals to VA primary care.

Impact of Patient Portal Use on Duplicate Laboratory Tests in Diabetes Management

Background: Patients seek care across multiple health care settings. One coordination issue is the unnecessary duplication of laboratory across different health care settings. This analysis examined the association between patient portal use and duplication of laboratory testing among Veterans who are dual users of Veterans Affairs (VA) and non-VA providers. Materials and Methods: A national sample of Veterans who were newly authenticated users of the portal during fiscal year (FY) 2013 who used Blue Button at least once were compared with a random sample of Veterans who were not registered to use the portal. From these two groups, Veterans who were also Medicare-eligible users in FY2014 were identified. Duplicate testing was defined as receipt of more than five HbA1c (hemoglobin A1c) in 1 year. Results: Use of the Blue Button decreased the odds of duplicate HbA1c testing in VA and Medicare-covered facilities across three comparisons: (1) overall between users and nonusers: portal users were less likely to have duplicate testing; (2) pre-post comparison: there was a trend toward lower duplicate testing in both groups across time; and (3) pre-post comparisons accounting for use of the portal: the trend toward lower duplicate testing was greater in Blue Button users. Conclusion: Duplicate HbA1c testing was significantly lower in dual users of VA and Medicare services who used the Blue Button feature of their VA patient portal. Non-VA providers encounter barriers to access of complete information about Veterans who also use VA health care. Provider endorsement of consumer-mediated health information exchange could help further this model of sharing information.

Current Practices in Electronic Capture of Patient-Reported Outcomes for Measurement-Based Care and the Use of Patient Portals to Support Behavioral Health

Electronic health records combined with tethered patient portals now support a range of functions including electronic data capture of patient-reported outcomes, trend reporting on clinical targets, secure messaging, and patient-mediated health information exchange. The applications of these features require special consideration in psychiatric and behavioral health settings. Nonetheless, their potential to engage patients suffering from disorders in which passivity and withdrawal are endemic to their mental health condition, is great. This article presents the growing research base on these topics, including discussion of key issues and recommendations for optimal implementation of patient portals in behavioral health settings.

The advanced care coordination program: a protocol for improving transitions of care for dual-use veterans from community emergency departments back to the Veterans Health Administration (VA) primary care

BACKGROUND

Veterans who access both the Veterans Health Administration (VA) and non-VA health care systems require effective care coordination to avoid adverse health care outcomes. These dual-use Veterans have diverse and complex needs. Gaps in transitions of care between VA and non-VA systems are common. The Advanced Care Coordination (ACC) quality improvement program aims to address these gaps by implementing a comprehensive longitudinal care coordination intervention with a focus on Veterans' social determinants of health (SDOH) to facilitate Veterans' transitions of care back to the Eastern Colorado Health Care System (ECHCS) for follow-up care.

METHODS

The ACC program is an ongoing quality improvement study that will enroll dual-use Veterans after discharge from non-VA emergency department (EDs), and will provide Veterans with social worker-led longitudinal care coordination addressing SDOH and providing linkage to resources. The ACC social worker will complete biopsychosocial assessments to identify Veteran needs, conduct regular in-person and phone visits, and connect Veterans back to their VA care teams. We will identify non-VA EDs in the Denver, Colorado metro area that will provide the most effective partnership based on location and Veteran need. Veterans will be enrolled into the ACC program when they visit one of our selected non-VA EDs without being hospitalized. We will develop a program database to allow for continuous evaluation. Continuing education and outreach including the development of a resource guide, Veteran Care Cards, and program newsletters will generate program buy-in and bridge communication. We will evaluate our program using the Reach, Effectiveness, Adoption, Implementation, and Maintenance framework, supported by the Practical, Robust Implementation and Sustainability Model, Theoretical Domains Framework, and process mapping.

DISCUSSION

The ACC program will improve care coordination for dual-use Veterans by implementing social-work led longitudinal care coordination addressing Veterans' SDOH. This intervention will provide an essential service for effective care coordination.

Recommendations for the Evaluation of Cross-System Care Coordination from the VA State-of-the-art Working Group on VA/Non-VA Care

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.

Supporting older military veterans in the rural US

Purpose

The purpose of this paper is to provide an overview of rural older veterans in the US and discuss how the US Department of Veterans Affairs (VA) is increasing access to health care for older veterans in rural areas.

Design/methodology/approach

This is a descriptive paper summarizing population and program data about rural veterans.

Findings

VA provides a variety of health care services and benefits for older veterans to support health, independence, and quality of life. With the creation of the Veterans Health Administration Office of Rural Health (ORH) in 2006, the needs of rural veterans, who are on average older than urban veterans, are receiving greater attention and support. ORH and VA have implemented several programs to specifically improve access to health care for rural veterans and to improve quality of care for older veterans in rural areas.

Originality/value

This paper is one of the first to describe how VA is addressing the health care needs of older, rural veterans.