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Predictors of Long Term Care Facility Use among the Elderly

Published online by Cambridge University Press:  29 November 2010

Evelyn Shapiro  and
Robert B. Tate
Evelyn Shapiro
Affiliation:
University of Manitoba
Robert B. Tate
Affiliation:
University of Manitoba
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Abstract

This research uses data from the Manitoba Longitudinal Study on Aging and multiple logistic regression analysis to assess the impact of twenty-eight sociodemographic and health status variables on nursing home admission. The results indicate that 1) all the short-term predictors continue to be significantly associated with facility bed use in the long run, suggesting that the high risk elderly can be identified relatively early; 2) the key sociodemographic characteristics are better predictors of admission than health and physical functioning characteristics; and 3) time itself appears to change the relationship of the study variables to admission.

Résumé

La présente recherche s'appuie sur les données fournies par le Manitoba Longitudinal Study on Aging (Étude longitudinale sur le vieillissement faite au Manitoba) et l'analyse de la régression logistique multiple pour évaluer l'incidence de 28 variables sociodémographiques ainsi que de l'état de santé à l'admission en maison de retraite. Les résultats obtenus indiquent 1) que les critères de prédiction à court terme continuent d'être associés à l'utilisation des lits, ce qui permet de croire que le dépistage des cas à risques élevés est possible, 2) que les caractéristiques sociodémographiques constituent des critères de prédiction supérieurs aux caractéristiques physiques et à l'état de santé, 3) que le passage du temps semble affecter le rapport entre les variables de l'étude et l'admission en maison de retraite.

Type
Articles
Information
Canadian Journal on Aging / La Revue canadienne du vieillissement , Volume 4 , Issue 1 , March 1985 , pp. 11 - 19
Copyright
Copyright © Canadian Association on Gerontology 1985

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References

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