Racial and ethnic disparities in the purchase of nongroup health insurance: the roles of community and family-level factors.
OBJECTIVE
To evaluate the influence of community- and family-level factors on racial/ethnic disparities in the uptake of nongroup (individual) health insurance.


METHODS
Responses to the 1996-1997 Community Tracking Study Household Survey plus community-level descriptors from several sources including census data, the Area Resource File, and community and migrant health center Medicare cost reports.


METHODS
Logistic regression was used to compare families in which at least one person had nongroup health insurance to families without nongroup insurance in which at least one person was uninsured. Sequential models were constructed examining family- and community-level factors.


RESULTS
Twenty-three percent of families with otherwise-uninsured persons purchased nongroup insurance, ranging from 11% to 41% among the 60 communities sampled. Disadvantaged minority group members, especially Spanish-speaking Hispanics, had half or less the odds of whites of purchasing nongroup insurance. Education had a weaker association with purchasing nongroup insurance among minority group members than among whites. Community-level factors had minimal effect on disparities in uptake, although greater housing segregation was associated with lower uptake among blacks.


CONCLUSIONS
Minority group members are much less likely to purchase nongroup insurance than whites. Family income and community factors do not explain this gap. Programs aimed at stimulating voluntary insurance purchase will continue to underenroll disadvantaged minorities if nonfinancial barriers to acquiring insurance coverage, including the interplay between race/ethnicity and education, are not better understood and addressed.
Saver
Barry G
BG
University of Washington, Seattle 98195-4696, USA.
Doescher
Mark P
MP
Symons
J Morel
JM
Wright
George E
GE
Andrilla
C Holly
CH
D001741:Black or African American / Q000706:statistics & numerical data; D001294:Attitude to Health / Q000208:ethnology; D018864:Cultural Diversity; D005191:Family Characteristics; D005260:Female; D019538:Health Care Surveys; D006630:Hispanic or Latino / Q000706:statistics & numerical data; D006801:Humans; D007348:Insurance, Health / Q000145:classification / Q000706:statistics & numerical data*; D016015:Logistic Models; D008297:Male; D008329:Managed Care Programs / Q000706:statistics & numerical data*; D008913:Minority Groups / Q000706:statistics & numerical data*; D012959:Socioeconomic Factors; D014481:United States; D044465:White People / Q000706:statistics & numerical data