Place as a predictor of health insurance coverage: A multivariate analysis of counties in the United States.

Autor: Stone LC; Public Health Program, Department of Family & Community Medicine, University of New Mexico Health Sciences Center, MSC 095060, 1 University, Albuquerque, NM 87131, United States; Robert Wood Johnson Foundation Center for Health Policy, University of New Mexico Health Sciences Center, MSC 095060, 1 University, Albuquerque, NM 87131, United States; Community Engagement Core, NM CARES Health Disparities Center, University of New Mexico Health Sciences Center, MSC 095060, 1 University, Albuquerque, NM 87131, United States; U.S.-Mexico Border Center of Excellence Consortium, University of New Mexico Health Sciences Center, MSC 095060, 1 University, Albuquerque, NM 87131, United States. Electronic address: Lcacari-stone@salud.unm.edu., Boursaw B; College of Nursing, University of New Mexico, MSC09 5350, 1 University of New Mexico, Albuquerque, NM 87131, United States. Electronic address: bboursaw@salud.unm.edu., Bettez SP; RWJF Center for Health Policy, University of New Mexico, PO Box 90, Corrales, NM 87048-0090, United States. Electronic address: spbettez@unm.edu., Larzelere Marley T; American Indian Studies at Arizona State University, United States. Electronic address: Tennille.Marley@asu.edu., Waitzkin H; Robert Wood Johnson Foundation Center for Health Policy, University of New Mexico Health Sciences Center, MSC 095060, 1 University, Albuquerque, NM 87131, United States; Department of Sociology, University of New Mexico; Department of Internal Medicine, University of Illinois; School of Public Health, University of Puerto Rico, 5406 East Drive, Loves Park, IL 61111, United States. Electronic address: waitzkin@unm.edu.
Jazyk: angličtina
Zdroj: Health & place [Health Place] 2015 Jul; Vol. 34, pp. 207-14. Date of Electronic Publication: 2015 Jun 16.
DOI: 10.1016/j.healthplace.2015.03.015
Abstrakt: This study assessed the importance of county characteristics in explaining county-level variations in health insurance coverage. Using public databases from 2008 to 2012, we studied 3112 counties in the United States. Rates of uninsurance ranged widely from 3% to 53%. Multivariate analysis suggested that poverty, unemployment, Republican voting, and percentages of Hispanic and American Indian/Alaskan Native residents in a county were significant predictors of uninsurance rates. The associations between uninsurance rates and both race/ethnicity and poverty varied significantly between metropolitan and non-metropolitan counties. Collaborative actions by the federal, tribal, state, and county governments are needed to promote coverage and access to care.
(Copyright © 2015 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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