Stroke Rehabilitation – Discharge Predictors

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Abstract
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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