Long-term care case managers' out-of-home placement decisions: An application of hierarchical logistic regression

Howard B. Degenholtz, Rosalie A. Kane, Robert L. Kane, Michael D. Finch

Research output: Contribution to journalReview articlepeer-review

18 Scopus citations

Abstract

Hierarchical logistic regression was used with the results of a factorial vignette survey of a national sample of case managers for the disabled elderly in Medicaid home- and community-based services waiver programs. The effects of client, case manager, and agency factors on case managers' out-of-home placement decisions in response to hypothetical case studies were estimated. Results show that client preferences, workload, and division of labor affect the probability that a case manager will recommend an out-of-home placement, controlling for client's physical and cognitive disability and the available resources. Significant variation among individuals was found. Implications of the findings are discussed.

Original languageEnglish (US)
Pages (from-to)240-274
Number of pages35
JournalResearch on Aging
Volume21
Issue number2
DOIs
StatePublished - Mar 1999

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