Poverty and population health - The need for A Paradigm shift to capture the working poor and better inform public health planning.

ALICE Asset limited Employed Health disparities Income constrained Socioeconomic status Working poor

Journal

Social science & medicine (1982)
ISSN: 1873-5347
Titre abrégé: Soc Sci Med
Pays: England
ID NLM: 8303205

Informations de publication

Date de publication:
11 2023
Historique:
received: 19 06 2023
revised: 18 08 2023
accepted: 14 09 2023
medline: 23 10 2023
pubmed: 25 9 2023
entrez: 24 9 2023
Statut: ppublish

Résumé

Community-level socioeconomic disparities have a significant impact on an individual's health and overall well-being. However, current estimates for poverty threshold, which are often used to assess community-level socioeconomic status, do not account for cost-of-living differences or geography variability. The goals of this study were to compare geographic county-level overlap and gaps in access to care for households within poverty and working poor designations. Data were obtained for 21 continental United States (US) states from the United Way's Asset Limited, Income Constrained, Employed (ALICE) households for 2021. Raw data contained the percentage of households at the federal poverty level, the percentage of households at the ALICE designations (working poor), and the total households at the county level. Local Moran's I tests for spatial autocorrelation were performed to identify the clustering of poverty and ALICE households. These clusters were overlaid with a 30-min drive time from critical access hospitals' physical addresses. County-level clusters of ALICE (working poor) households occurred in different areas than the clustering of poverty households. Of particular interest, the extent to which the 30-min drive time to critical care overlapped with clusters of ALICE or poverty changed depending on the state. Overall, clustering in ALICE and poverty overlapped with 30-min drive times to critical care between 46 and 90% of the time. However, the specific states where disparities in access to care were prominent differed between analyses focused on households in poverty versus the working poor. Findings highlight a disparity in equitable inclusion of individuals across the spectrum of socioeconomic status. Furthermore, they suggest that current public health programming and benefits which support low socioeconomic populations may be missing a vulnerable sub-population of working families. Future studies are needed to better understand how to address the health disparities facing individuals who are above the poverty threshold but still struggle economically to meet based needs.

Sections du résumé

BACKGROUND
Community-level socioeconomic disparities have a significant impact on an individual's health and overall well-being. However, current estimates for poverty threshold, which are often used to assess community-level socioeconomic status, do not account for cost-of-living differences or geography variability. The goals of this study were to compare geographic county-level overlap and gaps in access to care for households within poverty and working poor designations.
METHODS
Data were obtained for 21 continental United States (US) states from the United Way's Asset Limited, Income Constrained, Employed (ALICE) households for 2021. Raw data contained the percentage of households at the federal poverty level, the percentage of households at the ALICE designations (working poor), and the total households at the county level. Local Moran's I tests for spatial autocorrelation were performed to identify the clustering of poverty and ALICE households. These clusters were overlaid with a 30-min drive time from critical access hospitals' physical addresses.
FINDINGS
County-level clusters of ALICE (working poor) households occurred in different areas than the clustering of poverty households. Of particular interest, the extent to which the 30-min drive time to critical care overlapped with clusters of ALICE or poverty changed depending on the state. Overall, clustering in ALICE and poverty overlapped with 30-min drive times to critical care between 46 and 90% of the time. However, the specific states where disparities in access to care were prominent differed between analyses focused on households in poverty versus the working poor.
INTERPRETATIONS
Findings highlight a disparity in equitable inclusion of individuals across the spectrum of socioeconomic status. Furthermore, they suggest that current public health programming and benefits which support low socioeconomic populations may be missing a vulnerable sub-population of working families. Future studies are needed to better understand how to address the health disparities facing individuals who are above the poverty threshold but still struggle economically to meet based needs.

Identifiants

pubmed: 37742541
pii: S0277-9536(23)00606-8
doi: 10.1016/j.socscimed.2023.116249
pmc: PMC10701684
mid: NIHMS1935700
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

116249

Subventions

Organisme : NIMHD NIH HHS
ID : U01 MD017419
Pays : United States
Organisme : NIGMS NIH HHS
ID : U54 GM104942
Pays : United States

Informations de copyright

Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.

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Auteurs

Brian Witrick (B)

West Virginia Clinical and Translational Science Institute, PO Box 9102, Morgantown WV 26506, USA. Electronic address: brian.witrick@hsc.wvu.edu.

Timothy S Dotson (TS)

West Virginia Clinical and Translational Science Institute, PO Box 9102, Morgantown WV 26506, USA.

Frank Annie (F)

West Virginia Clinical and Translational Science Institute, PO Box 9102, Morgantown WV 26506, USA; Charleston Area Medical Center, PO Box 1547 Charleston WV 25301, USA.

Wesley Kimble (W)

West Virginia Clinical and Translational Science Institute, PO Box 9102, Morgantown WV 26506, USA.

Emily Kemper (E)

West Virginia Clinical and Translational Science Institute, PO Box 9102, Morgantown WV 26506, USA.

Brian Hendricks (B)

West Virginia Clinical and Translational Science Institute, PO Box 9102, Morgantown WV 26506, USA; West Virginia University, Department of Epidemiology and Biostatistics, 64 Medical Center Dr, Morgantown WV 26506, USA.

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Classifications MeSH