title: Race and gender differences in the distribution of home and community-based services in Florida.
abstract: This article examines the distribution of home and community-based services (HCBS) under Florida's Medicaid waiver program. Controlling for personal and community characteristics, it was found that gender and race significantly affect the access of the disabled adult population to HCBS services, with women and nonwhites significantly more likely to be receiving HCBS services. At the county level, the likelihood of one's being in the waiver program is contingent on the racial composition and level of segregation of the county. People residing in counties with substantial proportions of nonwhites are less likely to receive HCBS services--whatever their race. However, the higher the rate of racial segregation in the county, the higher the probability that the Medicaid disabled adult population will receive HCBS services. The Medicaid waiver program allows older, disabled black women to remain in their home neighborhoods rather than having to move to predominantly white areas where nursing homes are concentrated. Thus, the HCBS program not only provides them with a form of care that is preferred by most older people but also resolves market problems stemming from the lack of nursing homes in segregated areas by taking advantage of support systems in black households.
authors: Division of Health Standards and Quality, Health Care Financing Administration, Boston, MA, USA.
authors: L
authors: L
authors: Han
authors: C
authors: C
authors: Barrilleaux
authors: J
authors: J
authors: Quadagno
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D003153:Community Health Services / Q000706:statistics & numerical data*; D005006:Ethnicity / Q000706:statistics & numerical data*; D005260:Female; D005431:Florida; D015276:Health Care Rationing / Q000706:statistics & numerical data*; D006699:Home Care Services / Q000706:statistics & numerical data; D006707:Homes for the Aged / Q000706:statistics & numerical data*; D006801:Humans; D016015:Logistic Models; D008297:Male; D008484:Medicaid; D009735:Nursing Homes / Q000706:statistics & numerical data*; D012737:Sex Factors; D014481:United States