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Predicting Nursing Home Length of Stay and Outcome with a Resource-Based Classification System

Published online by Cambridge University Press:  10 March 2009

Gunnar Ljunggren  and
Lena Brandt
Gunnar Ljunggren
Affiliation:
Karolinska Institute and Huddinge Hospital
Lena Brandt
Affiliation:
Karolinska Institute and Huddinge Hospital
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Abstract

The anticipated demographic changes with an increasing number of elderly force us to plan and use health care resources more efficiently. In this study we have used the components of a case-mix measure for nursing homes; the Resource Utilization Groups (RUG-II), to predict length of stay (LOS) and outcome in geriatric institutions. We have shown that the RUG categories and an activities of daily living (ADL) index differ significantly in both respects, but that other variables might be of more clinical value when establishing a prospective payment system, based on LOS in geriatric institutions.

Type
General Essays
Information
International Journal of Technology Assessment in Health Care , Volume 12 , Issue 1 , Winter 1996 , pp. 72 - 79
Copyright
Copyright © Cambridge University Press 1996

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