title: Prediction of driving after stroke: a prospective study.
abstract: BACKGROUND
  The process of determining whether patients with stroke should drive again often involves off-road evaluations and road tests that usually take about 2 to 3 h to complete.
  
  
  OBJECTIVE
  This prospective study sought to identify the combination of tests that best predicts fitness to drive after stroke. The main aim was to develop a short and predictive predriving assessment battery.
  
  
  METHODS
  Sixty-eight consecutive stroke patients were studied who performed a mandatory predriving assessment at the Belgian Road Safety Institute, Brussels, within 18 months. Performance in a predriving assessment included medical examination (when needed), visual and neuropsychological evaluations, and an on-road test. Based on these assessments, a physician, psychologist, and the driving safety expert who administered the tests decided if a subject was either "fit to drive,""temporarily unfit to drive," or "unfit to drive."
  
  
  RESULTS
  Logistic regression analysis revealed a combination of visual neglect, figure of Rey, and on-road tests as the model that best predicted (R(2) = 0.73) fitness to drive after stroke. Using a discriminant function that included the 3 tests of the logistic model, the fitness to drive judgments of 59 (86.8%) subjects were correctly predicted. The sensitivity and specificity of the predictions were 79.4% and 94.1%, respectively.
  
  
  CONCLUSIONS
  Fitness to drive after stroke can be predicted from performance on a few road-related tests with a high degree of accuracy. However, some individuals require extended assessments and further tests.
authors.affiliation: Department of Rehabilitation Sciences, Faculty of Kinesiology and Rehabilitation Sciences, Katholieke Universiteit Leuven, Belgium. aakinwuntan@mcg.edu
authors.forename: A E
authors.initials: AE
authors.lastname: Akinwuntan
authors.forename: H
authors.initials: H
authors.lastname: Feys
authors.forename: W
authors.initials: W
authors.lastname: De Weerdt
authors.forename: G
authors.initials: G
authors.lastname: Baten
authors.forename: P
authors.initials: P
authors.lastname: Arno
authors.forename: C
authors.initials: C
authors.lastname: Kiekens
mesh_terms: D000328:Adult; D000368:Aged; D001076:Aptitude; D001333:Automobile Driver Examination; D001334:Automobile Driving; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009483:Neuropsychological Tests; D011237:Predictive Value of Tests; D011446:Prospective Studies; D015203:Reproducibility of Results; D020521:Stroke / Q000503:physiopathology* / Q000523:psychology*; D014787:Vision Tests