Definition and categorization of rural and assessment of realized access to care.


Journal

Health services research
ISSN: 1475-6773
Titre abrégé: Health Serv Res
Pays: United States
ID NLM: 0053006

Informations de publication

Date de publication:
06 2022
Historique:
revised: 25 01 2022
received: 03 08 2021
accepted: 27 01 2022
pubmed: 12 2 2022
medline: 18 5 2022
entrez: 11 2 2022
Statut: ppublish

Résumé

To examine how three measures of realized access to care vary by definitions and categorizations of "rural". Health Information National Trends Survey (HINTS) data, a nationally representative survey assessing knowledge of health-related information, were used. Participants were categorized by county-based Urban Influence Codes (UICs), Rural-Urban Continuum Codes (RUCCs), and census tract-based Rural-Urban Commuting Area (RUCAs). Three approaches were used across categories of UICs, RUCCs, and RUCAs: (1) non-metropolitan/metropolitan, (2) three-group categorization based upon population size, and (3) three-group categorization based on adjacency to metropolitan areas. Wald Chi-square tests evaluated differences in sociodemographic variables and three measures of realized access across three of Penchansky's "A's of access" and approaches. The three outcome measures included: having a regular provider (realized availability), self-reported "excellent" quality of care (realized acceptability), and self-report of the provider "always" spending enough time with you (provider attentiveness-realized accommodation). The average marginal effects corresponding to each outcome were calculated. N/A PRINCIPAL FINDINGS: All approaches indicated comparable variation in sociodemographics. In all approaches, RUCA-based categorizations showed differences in having a regular provider (e.g., 68.9% of non-metropolitan and 64.4% of metropolitan participants had a regular provider). This association was attenuated in multivariable analyses. No rural-urban differences in quality of care were seen in unadjusted or adjusted analyses regardless of approach. After adjustment for covariates, rural respondents reported greater provider attentiveness in some categorizations of rural compared with urban (e.g., non-metropolitan respondents reported 6.03 percentage point increase in probability of having an attentive provider [CI = 0.76-11.31%] compared with metropolitan). Our findings underscore the importance of considering multiple definitions of rural to understand access disparities and suggest that continued research is needed to examine the interplay between potential and realized access. These findings have implications for federal funding, resource allocation, and identifying health disparities.

Identifiants

pubmed: 35146771
doi: 10.1111/1475-6773.13951
pmc: PMC9108055
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

693-702

Subventions

Organisme : NCCDPHP CDC HHS
ID : U48 DP006401
Pays : United States
Organisme : NCCDPHP CDC HHS
ID : U48 DP006400
Pays : United States
Organisme : NCCDPHP CDC HHS
ID : U48 DP006399
Pays : United States
Organisme : NIMHD NIH HHS
ID : K23 MD015719
Pays : United States
Organisme : NCCDPHP CDC HHS
ID : U48 DP006413
Pays : United States
Organisme : NCCDPHP CDC HHS
ID : U13 DP000641
Pays : United States
Organisme : NCCDPHP CDC HHS
ID : U48 DP006389
Pays : United States

Informations de copyright

© 2022 Health Research and Educational Trust.

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Auteurs

Whitney E Zahnd (WE)

Department of Health Management and Policy, College of Public Health, University of Iowa, Iowa City, Iowa, USA.

Natalie Del Vecchio (N)

Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Natoshia Askelson (N)

Department of Community and Behavioral Health, College of Public Health, University of Iowa, Iowa City, Iowa, USA.

Jan M Eberth (JM)

Department of Epidemiology and Biostatistics, University of South Carolina, Columbia, South Carolina, USA.

Robin C Vanderpool (RC)

Health Communication and Informatics Research Branch, National Cancer Institute, Bethesda, Maryland, USA.

Linda Overholser (L)

Department of Internal Medicine, University of Colorado, Denver, Colorado, USA.

Purnima Madhivanan (P)

Health Promotion Sciences Department, Mel & Enid Zuckerman College of Public Health, University of Arizona, Tucson, Arizona, USA.

Rachel Hirschey (R)

School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Jean Edward (J)

College of Nursing, University of Kentucky, Lexington, Kentucky, USA.

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