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The stroke impairment assessment set: its internal consistency and predictive validity.
1Department of Rehabilitation Medicine, Keio University School of Medicine, Tokyo, Japan.
Archives of Physical Medicine and Rehabilitation
|July 15, 2000
Summary
The Stroke Impairment Assessment Set (SIAS) demonstrates good scale quality and unidimensionality. Its total scores effectively predict stroke patient functional independence at discharge.
Area of Science:
- Neuroscience
- Rehabilitation Medicine
- Psychometrics
Background:
- Stroke outcome research requires reliable and valid assessment tools.
- The Stroke Impairment Assessment Set (SIAS) was developed to evaluate stroke-related impairments.
- Assessing the psychometric properties and predictive validity of the SIAS is crucial for its clinical utility.
Purpose of the Study:
- To evaluate the scale quality of the SIAS using Rasch analysis.
- To determine the predictive validity of the SIAS for functional independence.
- To validate the SIAS as a tool for stroke outcome research.
Main Methods:
- Rasch analysis was employed to assess the SIAS scale quality.
- Stepwise multiple regression analysis predicted discharge Functional Independence Measure (FIM) scores.
- Cross-validation was performed on a separate cohort of stroke inpatients.
Main Results:
- The SIAS demonstrated acceptable unidimensionality, with minor exceptions in specific items.
- SIAS item difficulty patterns were consistent across admission/discharge and lesion laterality groups.
- Age, SIAS total scores, and admission FIM scores significantly predicted discharge FIM scores (adjusted R² = .64).
Conclusions:
- The unidimensionality of the SIAS was confirmed, supporting its scale quality.
- The SIAS total scores are a valuable predictor of functional independence post-stroke.
- The SIAS is a useful tool for stroke outcome prediction in rehabilitation settings.