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Predictors of County-Level Home Modification Use Across the US.
Semeah, Luz M; Orozco, Tatiana; Wang, Xinping; Jia, Huanguang; Lee, Mi Jung; Wilson, Lauren K; Ganesh, Shanti P; Ahonle, Zaccheus J; Varma, Deepthi Satheesa; Litt, Eric R; Ahern, Justin Kilkenny; Santos Roman, Leslie M; Cowper Ripley, Diane C.
Afiliação
  • Semeah LM; North Florida/South Georgia Veterans Health System.
  • Orozco T; North Florida/South Georgia Veterans Health System.
  • Wang X; North Florida/South Georgia Veterans Health System.
  • Jia H; North Florida/South Georgia Veterans Health System.
  • Lee MJ; North Florida/South Georgia Veterans Health System.
  • Wilson LK; University of Texas Medical Branch, Galveston.
  • Ganesh SP; North Florida/South Georgia Veterans Health System.
  • Ahonle ZJ; North Florida/South Georgia Veterans Health System.
  • Varma DS; University of Florida, Gainesville.
  • Litt ER; North Florida/South Georgia Veterans Health System.
  • Ahern JK; Mississippi State University.
  • Santos Roman LM; North Florida/South Georgia Veterans Health System.
  • Cowper Ripley DC; University of Florida, Gainesville.
Fed Pract ; 39(6): 274-280, 2022 Jun.
Article em En | MEDLINE | ID: mdl-36404937
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Fed Pract Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Fed Pract Ano de publicação: 2022 Tipo de documento: Article