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Updated: Aug 6, 2026
Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
Published on: December 16, 2022
Dynamic interactions between impairment and activity after stroke: examining the utility of decision analysis methods
Elizabeth R Skidmore1, Joan C Rogers, Lynette S Chandler
1Department of Occupational Therapy, University of Pittsburgh, 5012 Forbes Tower, Pittsburgh, PA 15260, USA. skidmore@pitt.edu
Objective:
To examine the utility of decision analysis methods for examining the dynamic nature of impairment-activity interactions following stroke.
Design:
Decision analyses (Chi-squared Automatic Interaction Detector) of a prospective cohort study.
Setting:
Community and institutional settings based on the location of participants three months after stroke.
Participants:
Individuals were recruited from consecutive admissions to a regional academic health center and were assessed three months after stroke (N= 67).
Main Outcome Measures:
Neurological impairment was measured with the National Institutes of Health Stroke Scale (NIHSS). Mobility, self-care and instrumental activities of daily living (instrumental ADL) performance were assessed with a performance observation measure, the Performance Assessment of Self-care Skills (PASS). Decision analysis methods were used to examine interactions between neurological impairments and activity outcomes.
Results:
Unique neurological impairments were associated with each activity outcome (bowel and bladder urgency interacted with mobility; hand function interacted with self-care; mental functions interacted with instrumental ADL), and these findings are supported by previous studies. The predictive validity of mobility and self-care analyses was stronger than the instrumental ADL analyses.
Conclusions:
Decision analysis methods show promise for understanding dynamic impairment--activity interactions. This understanding may enhance methods for informing rehabilitation decisions.