Literature DB >> 1566799

Driving after cerebral damage: a model with implications for evaluation.

T Galski1, R L Bruno, H T Ehle.   

Abstract

Evaluation of the ability of cerebrally injured patients to return to driving is an important task for rehabilitation specialists. These evaluations require predictively valid methods of assessment based on identification of relevant skills and abilities. The present study tested a hypothetical model for driving after cerebral injury and determined its use in evaluating fitness to drive. Thirty-five patients with cerebral damage due to head injury or cerebrovascular accident participated in the study. All were administered (a) a predriver evaluation, that is, a battery of neuropsychological tests chosen a priori to test the model, (b) a simulator evaluation, and (c) a behind-the-wheel evaluation consisting of driving on a protected course and in traffic. The results showed that 93% of the driving outcome in traffic was explained cumulatively by findings from the predriver and simulator evaluations as well as from behavioral and operational measures during evaluation on the protected lot. These results supported the predictive validity of the model and are discussed in terms of methodology for evaluation of return to driving.

Entities:  

Mesh:

Year:  1992        PMID: 1566799     DOI: 10.5014/ajot.46.4.324

Source DB:  PubMed          Journal:  Am J Occup Ther        ISSN: 0272-9490


  7 in total

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Authors:  Shawn C Marshall; Robert Spasoff; Rama Nair; Carl van Walraven
Journal:  CMAJ       Date:  2002-10-01       Impact factor: 8.262

Review 2.  Neurologic conditions: assessing medical fitness to drive.

Authors:  Steven H Yale; Phiroze Hansotia; Dawn Knapp; John Ehrfurth
Journal:  Clin Med Res       Date:  2003-07

3.  A comparison of driving errors in patients with left or right hemispheric lesions after stroke.

Authors:  Myoung-Ok Park
Journal:  J Phys Ther Sci       Date:  2015-11-30

4.  Driving scene-based driving errors in brain injury patients and their relevance to cognitive-perceptual function and functional activity level: A cross-sectional study.

Authors:  Myoung-Ok Park
Journal:  Medicine (Baltimore)       Date:  2019-07       Impact factor: 1.817

5.  Spatial Mental Transformation Skills Discriminate Fitness to Drive in Young and Old Adults.

Authors:  Luigi Tinella; Antonella Lopez; Alessandro Oronzo Caffò; Ignazio Grattagliano; Andrea Bosco
Journal:  Front Psychol       Date:  2020-12-03

6.  Driving habits and behaviors of patients with brain tumors: a self-report, cognitive and driving simulation study.

Authors:  Ann Mansur; Megan A Hird; Alexa Desimone; Iryna Pshonyak; Tom A Schweizer; Sunit Das
Journal:  Sci Rep       Date:  2018-03-15       Impact factor: 4.379

7.  Strong evidence for age as the single most dominant predictor of medically supervised driving test-mini mental status test outcomes provide only weak but significant moderate additional predictive value.

Authors:  Yannik Isler; Simon Schwab; Regula Wick; Stefan Lakämper
Journal:  BMC Geriatr       Date:  2022-03-24       Impact factor: 3.921

  7 in total

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