Open AccessPredicting Road Test Performance in Drivers With Stroke
Author(s) -
Peggy P. Barco,
Michael Wallendorf,
Carol A. Snellgrove,
Brian R. Ott,
David B. Carr
Publication year - 2014
Publication title -
american journal of occupational therapy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.646
H-Index - 82
eISSN - 1943-7676
pISSN - 0272-9490
DOI - 10.5014/ajot.2014.008938
Subject(s) - stroke (engine) , test (biology) , rehabilitation , physical medicine and rehabilitation , driving test , calculator , battery (electricity) , medicine , psychology , physical therapy , computer science , engineering , mechanical engineering , paleontology , power (physics) , logistic regression , physics , quantum mechanics , biology , operating system
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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