Predicting the grade of disability 1 year after stroke following rehabilitation

Jau Hong Lin*, Athena Yi Jung Tsai, Sing Kai Lo, Jyh Jong Chang, Mao Hsiung Huang

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

2 Scopus citations

Abstract

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 1 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.

Original languageEnglish
Pages (from-to)212-219
Number of pages8
JournalKaohsiung Journal of Medical Sciences
Volume21
Issue number5
DOIs
StatePublished - 05 2005
Externally publishedYes

Keywords

  • Disability
  • Rehabilitation
  • Stroke

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