The Utility of Rural and Underserved Designations in Geospatial Assessments of Distance Traveled to Healthcare Services: Implications for Public Health Research and Practice

Author:

Smith Matthew Lee12,Dickerson Justin B.3,Wendel Monica L.4,Ahn SangNam5,Pulczinski Jairus C.2,Drake Kelly N.6,Ory Marcia G.2

Affiliation:

1. The University of Georgia, College of Public Health, Department of Health Promotion and Behavior, 330 River Road, 315 Ramsey Center, Athens, GA 30602, USA

2. Texas A&M Health Science Center, School of Rural Public Health, Department of Health Promotion and Community Health Sciences, TAMU 1266, College Station, TX 77843, USA

3. HSR Health Services, LLC, P.O. Box 571357, Murray, UT 84157, USA

4. Texas A&M Health Science Center, School of Rural Public Health, Department of Health Policy and Management, TAMU 1266, College Station, TX 77843, USA

5. The University of Memphis, School of Public Health, Division of Health Systems Management and Policy, Robison Hall 133, Memphis, TN 38152-3530, USA

6. Texas A&M Health Science Center, School of Rural Public Health, Center for Community Health Development, TAMU 1266, College Station, TX 77843, USA

Abstract

Health disparities research in rural populations is based on several common taxonomies identified by geography and population density. However, little is known about the implications of different rurality definitions on public health outcomes. To help illuminate the meaning of different rural designations often used in research, service delivery, or policy reports, this study will (1) review the different definitions of rurality and their purposes; (2) identify the overlap of various rural designations in an eight-county Brazos Valley region in Central Texas; (3) describe participant characteristic profiles based on distances traveled to obtain healthcare services; and (4) examine common profile characteristics associated with each designation. Data were analyzed from a random sample from 1,958 Texas adults participating in a community assessment. K-means cluster analysis was used to identify natural groupings of individuals based on distance traveled to obtain three healthcare services: medical care, dental care, and prescription medication pick-up. Significant variation in cluster representation and resident characteristics was observed by rural designation. Given widely used taxonomies for designating areas as rural (or provider shortage) in health-related research, this study highlights differences that could influence research results and subsequent program and policy development based on rural designation.

Funder

Centers for Disease Control and Prevention

Publisher

Hindawi Limited

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

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