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Related Experiment Video

Updated: Jun 25, 2025

Computerized Adaptive Testing System of Functional Assessment of Stroke
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Fitness-to-drive recommendations in post-stroke patients: a retrospective study.

Clara Gasne1, Maud Ranchet1, Myriam Evennou1

  • 1TS2-LESCOT, Univ Gustave Eiffel, IFSTTAR, Univ Lyon, F-69675, Lyon, France.

Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association
|May 21, 2024
PubMed
Summary
This summary is machine-generated.

Driving after a stroke is challenging. Instrumental sequelae, particularly aphasia, and longer post-stroke assessment times predict unfitness to drive, necessitating standardized assessments.

Keywords:
Fitness-to-driveMulti-professional assessmentRecommendationRetrospective studyStroke

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Area of Science:

  • Neurology
  • Rehabilitation Medicine
  • Traffic Safety

Background:

  • Stroke sequelae significantly impact daily activities, including driving.
  • French law mandates multi-professional fitness-to-drive assessments for post-stroke patients.
  • Understanding determinants of driving recommendations is crucial for patient reintegration.

Purpose of the Study:

  • To explore factors influencing multi-professional fitness-to-drive recommendations in post-stroke patients.
  • To identify key predictors of driving suitability after stroke.

Main Methods:

  • Retrospective study of 66 post-stroke patients assessed in 2019.
  • Multi-professional team decision on driving recommendations (favorable/unfavorable).
  • Comparison of demographic, clinical, and driving characteristics.

Main Results:

  • 64% of patients received a favorable fitness-to-drive recommendation.
  • Longer time interval between stroke and assessment correlated with unfavorable recommendations (P = .004).
  • Higher proportion of instrumental sequelae, especially aphasia, predicted unfitness to drive (P = .022).

Conclusions:

  • Post-stroke time interval and instrumental sequelae are key determinants of driving recommendations.
  • Aphasia emerged as the strongest predictor of unfitness to drive.
  • Highlights the need for standardized multi-professional assessments due to varying determinants across studies.