title: The predictors of long-term care service utilization among older Americans.
abstract: Long-term care for the elderly has recently become an area of great interest for practicing social workers because of the increasing number of aged persons and the important role of government in financing and regulating their care. Therefore, the purpose of this study was to provide a set of estimates on patterns in long-term care service use among older Americans over an eight-year period. This study applied multinomial logistic regression to analyzing the data from the National Long-Term Care Survey of 1982-1989 (NLTCS). The results of this study showed a number of differences from the results with cross-sectional studies. Of the 6,393 sample persons, more than half (56.5%) died over the eight years from 1982 to 1989. The rate of entering nursing homes (12.6%) was low. The rate of using community-based care services was fairly low. About 10.4 percent of the sample received care from helping professional personnel or paid helpers. As expected, the number receiving care from kin and other informal support was high. Long-term care services in the United States were distributed very unequally among various social groups. The indicator of need was not the only determinant of service utilization. Other variables such as number of household members, race, age and education were also important for service utilization. The predictors of deceased versus informal help were need, age, number of household member, gender and marital status. The predictors of nursing home care versus informal help were need, age, number of household members, education, attitude toward nursing home and race. The predictors of community-based help care versus informal help were need, number of household members, and education.
authors.affiliation: Department of Medical Sociology, Kaohsiung Medical College, Taiwan, Republic of China.
authors.forename: S M
authors.initials: SM
authors.lastname: Pan
authors.forename: J T
authors.initials: JT
authors.lastname: Yang
authors.forename: C C
authors.initials: CC
authors.lastname: Chen
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D006801:Humans; D016015:Logistic Models; D008134:Long-Term Care; D009735:Nursing Homes; D014481:United States