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Dual-Task Stroop Paradigm for Detecting Cognitive Deficits in High-Functioning Stroke Patients
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Predicting road test performance in drivers with stroke.

Peggy P Barco1, Michael J Wallendorf2, Carol A Snellgrove3

  • 1Peggy P. Barco, OTD, OTR/L, SCDCM, is Instructor, Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO.

The American Journal of Occupational Therapy : Official Publication of the American Occupational Therapy Association
|March 4, 2014
PubMed
Summary
This summary is machine-generated.

This study developed a quick screening tool to predict driving ability after stroke. The screening accurately identified drivers at risk of failing on-road driving tests.

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Area of Science:

  • Neurology
  • Rehabilitation Medicine
  • Occupational Therapy

Background:

  • Stroke survivors often face challenges returning to driving.
  • Assessing driving fitness post-stroke is crucial for safety and independence.
  • Existing evaluations can be time-consuming and may not capture all necessary domains.

Purpose of the Study:

  • To create a brief screening tool for predicting on-road driving performance in stroke survivors.
  • To identify specific cognitive and visual-motor tests that best predict driving outcomes.
  • To aid clinicians in referring stroke patients for comprehensive driving evaluations.

Main Methods:

  • A cohort of 72 stroke survivors was assessed.
  • The modified Washington University Road Test served as the outcome measure (pass/fail).
  • Predictor variables included tests of visual, motor, and cognitive functions, notably the Trail Making Test Part A and the Snellgrove Maze Task.

Main Results:

  • The combination of Trail Making Test Part A and the Snellgrove Maze Task was the most effective predictor of road test failure.
  • A brief screening battery, executable in under 5 minutes, demonstrated predictive capability.
  • The developed model can assist in identifying stroke drivers who may require further driving assessment.

Conclusions:

  • A rapid screening battery can effectively predict on-road driving performance in individuals post-stroke.
  • The identified tests offer a practical approach for initial driving fitness assessment.
  • A probability calculator based on these findings could support clinical decision-making regarding driving referrals.