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

Abstract:

: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.

journal_name

Health Place

journal_title

Health & place

authors

Stone LC,Boursaw B,Bettez SP,Larzelere Marley T,Waitzkin H

doi

10.1016/j.healthplace.2015.03.015

subject

Has Abstract

pub_date

2015-07-01 00:00:00

pages

207-14

eissn

1353-8292

issn

1873-2054

pii

S1353-8292(15)00049-0

journal_volume

34

pub_type

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