Center for Studying Health System Change

Providing Insights that Contribute to Better Health Policy

Advanced Search Instructions

You can refine your search with the following modifiers:

* Use an to perform a wildcard search.Example: prescript* would return "prescription", "prescriptions" etc.
"" Use quotes to match a phrase.Example: "prescription drug" only returns results where the words are next to each other.
+ Use a plus sign to perform a search where the additional term MUST be part of the page.Example: prescription +drug
- Use a minus sign to perform a search where the additional term SHOULD NOT be part of the page.Example: prescription -drug
< > Use a < > sign to perform a search where the additional term should be of greater or lesser importance in the search.Example: prescription >drug
Find pages with the word precription with additional importance for the word drug.
( ) Use parentheses to group different search terms together.Example: prescription (+medicare -drug)
 

Insurance Coverage & Costs Costs The Uninsured Private Coverage Employer Sponsored Individual Public Coverage Medicare Medicaid and SCHIP Access to Care Quality & Care Delivery Health Care Markets Issue Briefs Data Bulletins Research Briefs Policy Analyses Community Reports Journal Articles Other Publications Surveys Site Visits Design and Methods Data Files


What Accounts for Differences in Uninsurance Rates Across Communities?

Spring 2001
Inquiry, Vol.38, No.1 (Spring 2001): 6-21
Peter J. Cunningham, Paul B. Ginsburg

sing data from the 1996-97 Community Tracking Study household survey, this study examines variations in uninsurance rates across communities in the United States. Specifically, regression-based decomposition is used to identify factors that account for high rates of uninsurance in some communities. Differences in explained rates between "high uninsurance" and "low uninsurance" communities are the result of differences in the racial/ethnic composition and socioeconomic status of the population (33%), differences in employment characteristics (26%), and state Medicaid eligibility requirements (12.7%). Although higher costs are associated with a higher likelihood that individuals are uninsured, high-cost communities tend to have lower rates of uninsurance as a result of other factors. Despite the large number of identifiable factors included in the analysis, there is still a substantial amount of unexplained regional variation in uninsurance rates.

Free access to this article is available at the Inquiry Web site.
 

Back to Top