Ayuda
Ir al contenido

Dialnet


Predicting Road Test Performance in Adults with Cognitive or Visual Impairment Referred to a Veterans Affairs Medical Center Driving Clinic

  • Autores: Patricia M. Niewoehner, Rochelle R. Henderson, Jami Dalchow, Tracy L. Beardsley, Robert A. Stern, David B. Carr
  • Localización: Journal of the American Geriatrics Society, ISSN 0002-8614, Vol. 60, Nº. 11, 2012, págs. 2070-2074
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • Objectives: to develop a screening battery for office-based clinicians that would assist with the prediction of impaired driving performance and deciding who should proceed to road testing in a sample of adults with cognitive or visual deficits.

      Design: Prospective observational study.

      Setting: Driving evaluation clinic at a Veterans Affairs Medical Center (VAMC) in St. Louis, Missouri.

      Participants: Seventy-seven individuals aged 23 to 91 with diagnoses of cognitive or visual impairment or both referred to an occupational therapy based driving clinic by VAMC providers because of concerns regarding driving safety.

      Measurements: Predictor variables included tests of visual and cognitive functioning and activities of daily living. The major outcome was pass or fail on a standardized performance-based on-road driving test.

      Results: Thirty percent of the referrals failed the road test. The best predictors of driving performance were the Trail-Making Test Part A and the Mazes Test from the Neuropsychological Assessment Battery.

      Conclusion: Measures of visual search, psychomotor speed, and executive functioning accurately predicted road test performance in a significant number of participants. These brief tests may assist clinicians in deciding who should proceed with a road test in a driver rehabilitation clinic or perhaps to whom it should be recommended to cease driving.


Fundación Dialnet

Dialnet Plus

  • Más información sobre Dialnet Plus

Opciones de compartir

Opciones de entorno