Health insurance coverage and use of services among low-income elders: does residence influence the relationship?
This research uses a nationally representative sample of 1,425 low-income elders from the 1987 National Medical Expenditure Survey (NMES) to assess the independent and interaction effects of health insurance coverage and residence on the use of seven health care services: doctor visits, visits to other personnel, telephone contact, emergency room visits, overnight hospital stays, outpatient visits, and prescription medicines. It is hypothesized that (a) elders without insurance to supplement Medicare; (b) those who lived in nonmetropolitan areas use fewer health services; and (c) insurance status and residence interact to influence use of health services, with nonmetropolitan elders using fewer services than those living in metropolitan areas, regardless of insurance type. Using multivariate statistical analyses with both main effects and interaction term models, the data indicate that the type of insurance that low-income elders have is associated with their use of health services, and that residence has only modest effect. Individuals who have Medicaid, and to a lesser extent private supplements, use services more frequently than do those without supplements. Finally, despite the hypothesis, residence does not interact with insurance status in influencing use of services; the relationship between insurance and use of services does not vary across area of residence. The data suggest that the ability to pay, rather than supply constraints associated with nonmetropolitan areas, are of primary importance in determining health care use among low-income elders.
Seccombe
K
K
Institute for Health Policy Research, University of Florida, Gainesville 32611, USA.
D000368:Aged; D002391:Catchment Area, Health / Q000706:statistics & numerical data; D016009:Chi-Square Distribution; D003625:Data Collection; D005260:Female; D006299:Health Services for the Aged / Q000706:statistics & numerical data*; D006801:Humans; D007348:Insurance, Health / Q000706:statistics & numerical data*; D008297:Male; D008484:Medicaid / Q000706:statistics & numerical data; D006278:Medicare / Q000706:statistics & numerical data; D015999:Multivariate Analysis; D011203:Poverty / Q000706:statistics & numerical data*; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D012424:Rural Population; D014481:United States; D014505:Urban Population