Provision of Home & Community Based Services to Veterans by Race, Rurality, and Neighborhood Deprivation Index.

ADI aging in place deprived disparities long-term services & supports (LTSS) neighborhood deprivation index personal care services race rurality social-determinants of health

Journal

Journal of aging & social policy
ISSN: 1545-0821
Titre abrégé: J Aging Soc Policy
Pays: England
ID NLM: 8914669

Informations de publication

Date de publication:
06 Oct 2024
Historique:
medline: 6 10 2024
pubmed: 6 10 2024
entrez: 6 10 2024
Statut: aheadofprint

Résumé

Home and community-based services (HCBS) enable frail patients to remain at home. We examined whether there were neighborhood-deprivation, racial, or rural disparities in HCBS utilization provided to Veterans by the Department of Veterans Affairs (VA) or Medicare by comparing the adjusted utilization rate of a historically disadvantaged group with the predicted utilization rate had it been treated as the historically dominant group. Among the 2.7 million VA patients over 66 years old in 2019, 11.0% were Black, 39.2% lived in rural settings, 15.3%/29.2%/30.9%/24.7% lived in least/mild/moderate/most-deprived neighborhoods. On average, 11.2% received VA or Medicare HCBS. Veterans residing in more deprived neighborhoods had 0.11-0.95% higher adjusted probability of receiving HCBS than expected had they resided in the least deprived neighborhoods. Veterans residing in rural areas had 0-0.7% lower HCBS rates than expected had they been treated like urban Veterans. Black Veterans were 0.8-1.2% more likely to receive HCBS than expected had they been treated like White Veterans. Findings indicate that VA resources were equitably employed, aligning with probable HCBS needs, suggesting that VA's substantial and long-standing investment in HCBS for care of frail Veterans could serve as a model for other payers and providers in the U.S.

Identifiants

pubmed: 39369339
doi: 10.1080/08959420.2024.2402110
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-18

Auteurs

Tianwen Huan (T)

Geriatrics & Extended Care Data & Analyses Center (GECDAC), Canandaigua, NY, USA.
Geriatrics & Extended Care Data & Analyses Center (GECDAC) Canandaigua VAMC, Canandaigua, NY, USA.
Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.

Orna Intrator (O)

Geriatrics & Extended Care Data & Analyses Center (GECDAC), Canandaigua, NY, USA.
Geriatrics & Extended Care Data & Analyses Center (GECDAC) Canandaigua VAMC, Canandaigua, NY, USA.
Department of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.

Amy Jh Kind (AJ)

Division of Geriatrics, Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Center for Health Disparities Research, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.

Scotte Hartronft (S)

Veterans Health Administration, Department of Veterans Affairs, VA Central Office Geriatrics & Extended Care, Washington.

Bruce Kinosian (B)

Geriatrics & Extended Care Data & Analyses Center (GECDAC), Canandaigua, NY, USA.
Geriatrics & Extended Care Data Analysis Center (GECDAC), Cpl. Michael J. Crescenz VA Medical Center, Philadelphia, PA, USA.
Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Classifications MeSH