Predicting Road Test Performance in Drivers With Stroke

Peggy Barco, Michael Wallendorf, Carol Snellgrove, Brian Ott, David Carr

    Research output: Contribution to journalArticlepeer-review

    21 Citations (Scopus)


    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.

    Original languageEnglish
    Pages (from-to)221-229
    Number of pages9
    JournalAmerican Journal of Occupational Therapy
    Issue number2
    Publication statusPublished - 2014


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