Predicting the receipt of employer-sponsored health insurance: the role of residence and other personal and workplace characteristics.
Americans without health insurance constitute a significant public policy concern. Previous research has demonstrated that rural Americans are more likely to be without coverage. Beyond documenting this comparative disadvantage, however, current research has two specific deficiencies: studies have not examined whether the factors that predict the receipt of employer-sponsored health insurance are equivalent across residence categories, and few studies have used a multivariate framework to examine the predictors of the receipt of health insurance. Using data from the 1987 National Medical Expenditure Survey, the influence of residence is examined along with other variables known to be associated with an increased likelihood of receiving health insurance from an employer (specifically, seven employee and six workplace characteristics). At a bivariate level, an individual's place of residence did affect the probability of receiving health insurance from an employer, with nonmetropolitan workers least likely to receive such benefits. The influence of the employee and workplace characteristics on receipt of insurance, however, did not vary significantly by place of residence. In a multivariate model, six employee and six workplace characteristics were identified as significant predictors. These findings do not refute the existence of important residential differences in health insurance coverage, rather, they suggest that the differences are due to identifiable population and workplace characteristics that vary in their distribution by residence.
University of Florida Health Science Center, Gainesville 32610.
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RT
Coward
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LL
Clarke
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K
Seccombe
D004651:Employment / Q000706:statistics & numerical data; D005260:Female; D005544:Forecasting; D005843:Geography; D006264:Health Benefit Plans, Employee / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D008297:Male; D017057:Medically Uninsured / Q000706:statistics & numerical data*; D015999:Multivariate Analysis; D012111:Residence Characteristics; D012423:Rural Health / Q000706:statistics & numerical data*; D014481:United States; D014504:Urban Health / Q000706:statistics & numerical data*