Prediction of driving after stroke

A prospective study

Abiodun Emmanuel Akinwuntan, H. Feys, W. De Weerdt, G. Baten, P. Arno, C. Kiekens

Research output: Contribution to journalArticle

54 Citations (Scopus)

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. Objectives. 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 (R2 = 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. Conclusion. 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.

Original languageEnglish (US)
Pages (from-to)417-423
Number of pages7
JournalNeurorehabilitation and Neural Repair
Volume20
Issue number3
DOIs
StatePublished - Aug 1 2006

Fingerprint

Stroke
Prospective Studies
Logistic Models
Safety
Drive
Regression Analysis
Psychology
Physicians
Sensitivity and Specificity

Keywords

  • Cerebrovascular accident
  • Motor vehicles
  • Neuropsychological tests
  • Rehabilitation
  • Road test
  • Visual tests

ASJC Scopus subject areas

  • Rehabilitation
  • Neurology
  • Clinical Neurology

Cite this

Akinwuntan, A. E., Feys, H., De Weerdt, W., Baten, G., Arno, P., & Kiekens, C. (2006). Prediction of driving after stroke: A prospective study. Neurorehabilitation and Neural Repair, 20(3), 417-423. https://doi.org/10.1177/1545968306287157

Prediction of driving after stroke : A prospective study. / Akinwuntan, Abiodun Emmanuel; Feys, H.; De Weerdt, W.; Baten, G.; Arno, P.; Kiekens, C.

In: Neurorehabilitation and Neural Repair, Vol. 20, No. 3, 01.08.2006, p. 417-423.

Research output: Contribution to journalArticle

Akinwuntan, AE, Feys, H, De Weerdt, W, Baten, G, Arno, P & Kiekens, C 2006, 'Prediction of driving after stroke: A prospective study', Neurorehabilitation and Neural Repair, vol. 20, no. 3, pp. 417-423. https://doi.org/10.1177/1545968306287157
Akinwuntan AE, Feys H, De Weerdt W, Baten G, Arno P, Kiekens C. Prediction of driving after stroke: A prospective study. Neurorehabilitation and Neural Repair. 2006 Aug 1;20(3):417-423. https://doi.org/10.1177/1545968306287157
Akinwuntan, Abiodun Emmanuel ; Feys, H. ; De Weerdt, W. ; Baten, G. ; Arno, P. ; Kiekens, C. / Prediction of driving after stroke : A prospective study. In: Neurorehabilitation and Neural Repair. 2006 ; Vol. 20, No. 3. pp. 417-423.
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