title: Determinants of driving after stroke.
abstract: OBJECTIVE
  To identify variables that best predict a team's decision of driving ability in stroke patients from a predriving assessment.
  
  
  METHODS
  Retrospective study of a 2-year predriving evaluation.
  
  
  METHODS
  Belgian Institute for Road Safety.
  
  
  METHODS
  One hundred four patients with sequelae of first stroke.
  
  
  METHODS
  Predriving assessments and road test.
  
  
  METHODS
  The suitability to resume driving based on a team decision and performance in the road test.
  
  
  RESULTS
  Forty-one patients (39.4%) were judged suitable, 45 (43.3%) not immediately suitable, and 18 (17.3%) not suitable to drive. Correlation coefficients and comparisons between groups revealed that most variables had significant individual relationships with the team decision and performance on the road test. After logistic regression analysis, side of lesion, kinetic vision, visual scanning, and a road test led to the best model in predicting the team decision (R(2) =.53). The road test was the most important determinant (R(2) =.42). Multiple regression analysis showed that the combination of acuity of left and right eyes and the figure of Rey was the best subset to predict the road test (R(2) =.28).
  
  
  CONCLUSIONS
  The predictive accuracy of the team's decision is limited, and the road test is even lower. Inclusion of more real-road-related tests in the predriving assessment is necessary.
authors.affiliation: Department of Rehabilitation Sciences, Faculty of Physical Education and Physiotherapy, Katholieke Universiteit Leuven, Tervuursevest 101, B-3001 Heverlee, Leuven, Belgium. Emmanuel.Akinwuntan@flok.kuleuven.ac.be
authors.forename: Abiodun E
authors.initials: AE
authors.lastname: Akinwuntan
authors.forename: Hilde
authors.initials: H
authors.lastname: Feys
authors.forename: Willy
authors.initials: W
authors.lastname: DeWeerdt
authors.forename: Jan
authors.initials: J
authors.lastname: Pauwels
authors.forename: Guido
authors.initials: G
authors.lastname: Baten
authors.forename: Emmanuel
authors.initials: E
authors.lastname: Strypstein
mesh_terms: D000328:Adult; D000368:Aged; D001334:Automobile Driving; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009483:Neuropsychological Tests; D011237:Predictive Value of Tests; D012189:Retrospective Studies; D000071939:Stroke Rehabilitation; D014787:Vision Tests