Predicting road test performance in drivers with stroke.

Am J Occup Ther

David B. Carr, MD, is Professor of Medicine and Neurology and Clinical Director, Division of Geriatrics and Nutritional Science, Washington University, 4488 Forest Park Boulevard, St. Louis, MO 63108;

Published: November 2014

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.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4012570PMC
http://dx.doi.org/10.5014/ajot.2014.008938DOI Listing

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