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Stroke Rehabilitation – Discharge Predictors

 

作者: Britta Löfgren,   Lars Nyberg,   Per-Olov Österlind,   Mai Mattsson,   Yngve Gustafson,  

 

期刊: Cerebrovascular Diseases  (Karger Available online 1997)
卷期: Volume 7, issue 3  

页码: 168-174

 

ISSN:1015-9770

 

年代: 1997

 

DOI:10.1159/000108184

 

出版商: S. Karger AG

 

关键词: Cerebrovascular disorders;Rehabilitation;Predictors;Discharge disposition;Logistic regression model

 

数据来源: Karger

 

摘要:

One hundred stroke patients recovered from the acute phase and undergoing geriatric hospital rehabilitation were included in a study aimed at finding factors predicting discharge disposition. Background characteristics, functional status at admission and at discharge, complications during hospital stay, length of stay, and discharge disposition were recorded. The patients were the most severely affected third of the patients acutely admitted to hospital and surviving the acute phase of stroke. In spite of this, 59% of all patients returned to the same kind of living arrangement as before the onset of stroke. The most important factors in a logistic regression model for predicting patients'' return home were a high postural stability score, low age, and absence of perceptual impairment. The prediction model presented here can be quite useful for rehabilitation planning at admission to a geriatric stroke unit and can help to predict discharge disposition and patients'' changes of returning to their own homes.

 

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