Semeah LM, Orozco T, Wang X, Jia H, Lee MJ, Wilson LK, Ganesh SP, Ahonle ZJ, Varma DS, Litt ER, Ahern JK, Santos Roman LM, Cowper Ripley DC. Predictors of County-Level Home Modification Use Across the US.
Fed Pract 2022;
39:274-280. [PMID:
36404937 PMCID:
PMC9648602 DOI:
10.12788/fp.0279]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
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.
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