Predicting nursing home length of stay and outcome with a resource-based classification system.

Predicting nursing home length of stay and outcome with a resource-based classification system.

Réf. 123435 Article - En anglais

INTERNATIONAL JOURNAL OF TECHNOLOGY ASSESSMENT IN HEALTH CARE, vol. 12, n° 1, 1996, pages 72-79, 20 réf., ISSN 0266-4623, GBR

LJUNGGREN (G.), BRANDT (L.)

Karolinska Institute and Huddinge Hospital. SWE

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.

Mots-clés BDSP : Séjour, Personne âgée, Pronostic, Planification, Activité, Vie quotidienne, Suède, Homme, Europe, Maison retraite, Qualité vie

Mots-clés Pascal : Etablissement troisième âge, Temps séjour, Vieillard, Pronostic, Allocation ressource, Planification, Qualité vie, Activité, Vie quotidienne, Prédiction, Suède, Homme, Europe

Mots-clés Pascal anglais : Homes for the aged, Residence time, Elderly, Prognosis, Resource allocation, Planning, Quality of life, Activity, Daily living, Prediction, Sweden, Human, Europe

Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique

Cote : 96-0240091
Code Inist : 002B30A01B. Création : 199608.

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