Peggy P. Barco, Michael J. Wallendorf, Carol A. Snellgrove, Brian R. Ott, David B. Carr; Predicting Road Test Performance in Drivers With Stroke. Am J Occup Ther 2014;68(2):221–229. https://doi.org/10.5014/ajot.2014.008938
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© 2020 American Occupational Therapy Association
OBJECTIVE. The aim of this study was to develop a brief screening battery to predict the on-road performance of drivers who had experienced a stroke.
METHOD. We examined 72 people with stroke referred by community physicians to an academic rehabilitation center. The outcome variable was pass or fail on the modified Washington University Road Test. Predictor measures were tests of visual, motor, and cognitive functioning.
RESULTS. The best predictive model for failure on the road test included Trail Making Test Part A and the Snellgrove Maze Task®.
CONCLUSION. A screening battery that can be performed in less than 5 min was able to assist in the prediction of road test performance in a sample of drivers with stroke. A probability of failure calculator may be useful for clinicians in their decision to refer clients with stroke for a comprehensive driving evaluation.
Grahic Jump Location
Brief psychometric screens of visuospatial and executive function may aid in the prediction of impaired driving abilities as assessed by a performance-based on-road test.
Occupational therapy generalist practitioners who practice in driving clinics or who use off-road clinical tests to determine whether to refer a client with stroke for a CDE may consider adopting the Trails A and SMT or similar tests to assist with driving decisions.
Larger sample sizes and testing in additional driving clinic settings are needed to validate these findings.
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