title: Access to medical care for low-income persons: how do communities make a difference?
abstract: This paper considers the impact of community-level variables over and above the effects of individual characteristics on healthcare access of low-income children and adults residing in large metropolitan statistical areas (MSAs). Further, we rank MSAs' performance in promoting healthcare access for their low-income populations. The individual-level data come from the 1995 and 1996 National Health Interview Survey (NHIS). The community-level variables are derived from multiple public-use data sources. The outcome variable is whether low-income individuals received a physician visit in the past twelve months. The proportion receiving a visit by MSA varied from 63% to 99% for children and from 62% to 83% for adults. Access was better for individuals with health insurance and a regular source of care and for those living in communities with more federally-funded health centers. Children residing in MSA.
authors.affiliation: University of California, Los Angeles, USA.
authors.forename: Ronald M
authors.initials: RM
authors.lastname: Andersen
authors.forename: Hongjian
authors.initials: H
authors.lastname: Yu
authors.forename: Roberta
authors.initials: R
authors.lastname: Wyn
authors.forename: Pamela L
authors.initials: PL
authors.lastname: Davidson
authors.forename: E Richard
authors.initials: ER
authors.lastname: Brown
authors.forename: Stephanie
authors.initials: S
authors.lastname: Teleki
mesh_terms: D000293:Adolescent; D000328:Adult; D002391:Catchment Area, Health / Q000191:economics* / Q000706:statistics & numerical data; D002648:Child; D002675:Child, Preschool; D003153:Community Health Services / Q000191:economics / Q000706:statistics & numerical data*; D005006:Ethnicity; D005260:Female; D019538:Health Care Surveys; D006297:Health Services Accessibility / Q000191:economics* / Q000706:statistics & numerical data*; D006301:Health Services Needs and Demand; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008297:Male; D008875:Middle Aged; D016017:Odds Ratio; D009819:Office Visits / Q000191:economics / Q000706:statistics & numerical data*; D011203:Poverty / Q000208:ethnology; D011204:Poverty Areas; D011320:Primary Health Care / Q000191:economics / Q000706:statistics & numerical data*; D014481:United States