title: Predicting road test performance in drivers with stroke.
abstract: 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.
authors.affiliation: Peggy P. Barco, OTD, OTR/L, SCDCM, is Instructor, Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO.
authors.forename: Peggy P
authors.initials: PP
authors.lastname: Barco
authors.affiliation: Michael J. Wallendorf, PhD, is Research Statistician, Division of Biostatistics, Washington University School of Medicine, St. Louis, MO.
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Wallendorf
authors.affiliation: Carol A. Snellgrove, PhD, is Chief Psychologist, South Australia Police Department, Adelaide, South Australia, Australia.
authors.forename: Carol A
authors.initials: CA
authors.lastname: Snellgrove
authors.affiliation: Brian R. Ott, MD, is Professor, Department of Neurology, Warren Alpert Medical School, Brown University, and Director, Alzheimer's Disease and Memory Disorders Center, Rhode Island Hospital, Providence, RI.
authors.forename: Brian R
authors.initials: BR
authors.lastname: Ott
authors.affiliation: 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; dcarr@wustl.edu.
authors.forename: David B
authors.initials: DB
authors.lastname: Carr
mesh_terms: D000368:Aged; D001333:Automobile Driver Examination; D001334:Automobile Driving; D003071:Cognition; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009048:Motor Skills; D011237:Predictive Value of Tests; D011594:Psychometrics; D011597:Psychomotor Performance; D000071939:Stroke Rehabilitation; D014787:Vision Tests