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Updated: Nov 15, 2025
Computerized Adaptive Testing System of Functional Assessment of Stroke
Published on: January 7, 2019
Psychometric analysis of the behavioral assessment screening tool (BAST) in adults with stroke
Candice Osborne1, Alex Wong2, Willa Vo1
1Department of Physical Medicine and Rehabilitation, University of Texas Southwestern Medical Center, Dallas, USA.
Purpose:
The purpose of this study was to examine the initial psychometric properties of the Behavioral Assessment Screening Tool (BAST), a self-reported measure of neurobehavioral symptoms, in adults with stroke.
Methods:
We assessed subscale and item-level reliabilities of the five BAST subscales in 75 community-dwelling adults with stroke. We further assessed the known-groups validity of the BAST to differentiate individuals with and without self-reported lifetime stroke history (n = 47 with stroke and n = 1843 neurologically healthy controls).
Results:
Cronbach's alpha coefficients of all subscales were >0.7, demonstrating acceptable to good internal consistency reliabilities, and corrected item-total correlations were all >.30 demonstrating good item-level reliabilities. ROC curves demonstrated strong known-groups validity of the negative affect, executive function, and fatigue subscales for classifying stroke versus healthy controls (AUC = .669-.758, p < .001).
Conclusion:
The BAST demonstrates good initial psychometric properties as a screening tool to identify neurobehavioral symptoms in community-dwelling adults with stroke. Future work will add stroke-specific items, further assess the validity of the BAST, and employ item response theory or Rasch analyses to identify highly discriminative items for potential smart device-based ecological momentary assessments.
