Predicting the grade of disabilty 1 year after stroke following rehabilitation

• Published in: The Kaohsiung journal of medical sciences Vol. 21; no. 5; p. 212
• Main Authors: Lin, Jau-Hong, Tsai, Athena Yi-Jung, Lo, Sing-Kai, Chang, Jyh-Jong, Huang, Mao-Hsiung
• Format: Journal Article
• Language: English
• Published: China (Republic : 1949- ) 01.05.2005
• Subjects: Aged; Female; Follow-Up Studies; Hospitals, University - statistics & numerical data; Humans; Logistic Models; Male; Middle Aged; Persons with Disabilities - classification; Persons with Disabilities - rehabilitation; Prognosis; Prospective Studies; Recovery of Function; Stroke Rehabilitation; Taiwan; Time Factors
• ISSN: 1607-551X
• DOI: 10.1016/s1607-551x(09)70190-1

The purpose of this study was to identify predictors of grades of disability at least 1 year after stroke rehabilitation therapy. We recruited stroke patients from the inpatient rehabilitation department of a university hospital. The degree of disability was graded using the disability evaluation at least 1 year after stroke onset. Functional ability was evaluated using the Functional Independence Measure instrument on admission, on discharge from the inpatient rehabilitation program, and at the 6-month follow-up visit after discharge. Major sociodemographic, medical, and rehabilitative factors were also collected during the hospitalization period. Of the 109 patients surveyed, 64 (58.7%) had severe or very severe grades of disability. The correlates of severe or very severe disability in logistic regression analyses were bilaterally affected (odds ratio, OR, 10.8), impaired orientation (OR, 3.6), and poorer functional ability at discharge (OR, 7.6). Based on the significant predictors identified, the logistic regression model correctly classified severe or very severe disability in 68.0% of subjects. The higher frequency of severe or very severe disability in this study may have been due to the relatively more severely affected stroke patient population in the inpatient rehabilitation service and the use of unique disability evaluation criteria. These results may provide information useful in planning continuous rehabilitation care and setting relevant socio-welfare policies for stroke victims.