Predictors of outcome in nursing homes

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 variable...

Full description

Saved in:
Bibliographic Details
Published inJournal of applied gerontology Vol. 9; no. 2; p. 172
Main Author Palmore, E B
Format Journal Article
LanguageEnglish
Published United States 01.06.1990
Subjects
Aged
Demography
Humans
Length of Stay - statistics & numerical data
Models, Statistical
Nursing Homes - utilization
Outcome and Process Assessment (Health Care) - statistics & numerical data
Patient Discharge - statistics & numerical data
Regression Analysis
Socioeconomic Factors
United States
United States
Online AccessGet more information

Cover

More Information
Summary: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.
ISSN:0733-4648
1552-4523
DOI:10.1177/073346489000900203