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

Lisa Cacari Stone, Blake Boursaw, Sonia P. Bettez, Tennille Marley, Howard Waitzkin

Research output: Contribution to journalArticle

9 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)207-214
Number of pages8
JournalHealth and Place
Volume34
DOIs
StatePublished - Jul 1 2015

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Keywords

  • County government
  • Health care access
  • Health reform
  • Insurance coverage

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Geography, Planning and Development
  • Health(social science)

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