Predicting the stroke patient's ability to live independently

Abstract

The objective of this paper is to identify those variables that best predict a stroke patient's ability to live independently following his/her discharge from medical rehabilitation. The paper draws heavily on a formal research model grounded in independent living (IL) theory. Independent living is defined and operationalized as (1) the patient's ability to live in a nonrestrictive environment and (2) the patient's ability to live productively--not only in terms of gainful employment but also in terms of other contributions to community and family life. The main data source for the study is an extensive computer file of 84 stroke patients discharged from 8 medical rehabilitation centers. The multivariate statistical analysis indicates that 56 to 80 percent of the variance in a patient's ability to live independently can be explained or predicted mainly by the patient's marital status, age, Barthel score, communication impairments, and the ability to get into a motor vehicle. The paper concludes by discussing the implications of the findings for medical rehabilitation and public policy.