Rural and Urban Home Modification Program Users: A Comparative Study.

OBJECTIVE: To understand the sociodemographic, geographical, and clinical characteristics of rural veterans utilizing home modification (HM) healthcare services under the Home Improvement Structural Alterations (HISA) program, to compare these characteristics between rural and urban veteran users, to estimate the costs of HMs performed, and to present distance that users traveled to HISA-prescribing medical facilities within the Veterans Health Administration (VHA). BACKGROUND: Accessible housing is in short supply. HMs allow veterans with disabilities (VWDs) to remain living at home rather than enter institutional-type settings. HISA is associated with decreased inpatient hospitalization rates and increased use of preventative healthcare via outpatient clinic visits. Home accessibility provides psychological benefits improving social interactions and interaction with the physical environment. METHODS: This retrospective database study analyzes data from the National Prosthetics Patient Database and other medical datasets within the VHA. RESULTS: Results provide a profile of and comparison between rural and urban veteran users. HISA users are substantially older compared to younger VWDs. The frequency of bathroom, railing, and wooden ramp HMs differed significantly between rural and urban users (p values < .001). Rural users traveled more miles than urban users to reach a prescribing facility. CONCLUSIONS: Older adults and individuals with disabilities have unmet housing needs since accessible housing is in short supply. This HM healthcare service is helping to meet the housing accessibility needs of older veterans, VWDs, older adults, and people with disabilities, in general.

Continuing the transformation: charting the path for the future delivery of Veteran emergency care.

Important changes in the delivery of Veteran emergency care in the early 2000s in the Department of Veteran Affairs (VA) emergency departments and urgent care clinics substantially elevated the role of emergency medicine (EM) in Veteran health care. Focused on enhancing the quality of care, emergency care visits in both VA and non-VA (community) care locations have nearly doubled from the 1980s to more than 3 million visits in Fiscal Year 2022. Recognizing the need to plan for continued growth and the opportunity to address key research priorities, the VA Office of Emergency Medicine, together with the VA Health Services Research and Development Service, collaborated to convene a State of the Art Conference on Veteran Emergency Medicine (SAVE) in the winter of 2022. The goal of this conference was to identify research gaps and priorities for implementation of policies for three priority groups: geriatric Veterans, Veterans with mental health and substance use complaints, and Veterans presenting to non-VA (community) emergency care sites. In this article we discuss the rationale for the SAVE conference including a brief history of VA EM and the planning process and conclude with next steps for findings from the conference.

Predictors of County-Level Home Modification Use Across the US.

Background: Geospatial analyses illustrating where the Home Improvements and Structural Alterations program (HISA) have been prescribed suggest that home modification (HM) services under US Department of Veterans Affairs (VA) is not prescribed and used uniformly across the US. Methods: The objective of this study was to identify county characteristics associated with HISA use rates, such as county-level measures of clinical care and quality of care, variables related to physical environment, and sociodemographic characteristics. Multiple regression analysis was used to predict county-level utilization rate from county-level variables. Results: County-level HISA use was highly skewed and ranged from 0.09 to 59.7%, with a mean of 6.6% and median of 5%. Percent uninsured adults and rate of preventable hospital stays emerged as significant predictors of county-level HISA utilization rate. Specifically, county percentage of uninsured adults was negatively related to county-level HISA utilization rate (b = -8.99, P = .005). The higher the proportion of uninsured adults the lower the HISA utilization rate. The county rate of preventable hospital stays was positively related to county-level HISA utilization rate (b = .0004, P = .009). County-level predictors of housing quality were not significantly associated with county-level HISA utilization rate. Conclusions: Our research fills a gap in the literature about the impact of county-level variables and the geographic distribution and use of HISA. More research is needed to understand and account for geographical variation in HISA use. This work serves as a first step at quantifying and predicting HISA utilization rate at a broad level, with the goal of increasing access to HMs for veterans with disabilities.