Predictors of outcome in nursing homes.

Published

Journal Article

To develop predictors of outcome, 22 admission characteristics of 221 consecutive discharges in two nursing homes were analyzed using automatic interaction detector analysis. Length of stay was significantly predicted by level of nursing care and feeding problems in one home, and by similar variables in the other home. Type of discharge was significantly predicted by receiving rehabilitation therapy, toileting problems, being on welfare, and feeding problems in one home, and by similar variables in the other. Results and uses of the findings are discussed in this article.

Full Text

Duke Authors

Cited Authors

  • Palmore, EB

Published Date

  • June 1, 1990

Published In

Volume / Issue

  • 9 / 2

Start / End Page

  • 172 - 184

PubMed ID

  • 10104721

Pubmed Central ID

  • 10104721

International Standard Serial Number (ISSN)

  • 0733-4648

Digital Object Identifier (DOI)

  • 10.1177/073346489000900203

Language

  • eng

Conference Location

  • United States