A Multidomain Approach for Predicting Older Driver Safety Under In-Traffic Road Conditions

The aim of this research was to identify a battery of tests that predicts safe and unsafe performance among older drivers on an on-road assessment of driving. A prospective cohort study design was used along with a university laboratory assessment and an on-road driving test. Subjects were 270 community-living adults aged 70-88 recruited through the electoral roll. Performance on a battery of multidisciplinary tests and on a standardized measure of on-road driving performance were measured. A combination of 3 tests from the vision, cognitive, and motor domains, including motion sensitivity, color choice reaction time, postural sway on a compliant foam rubber surface, and a self-reported measure of driving exposure, was able to classify participants into safe and unsafe driver groups with sensitivity of 91% and specificity of 70%. It was concluded that in a sample of licensed older drivers, a short battery of tests and a self-reported measure of driving exposure were able to accurately predict driving safety.

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  • Authors:
    • Lord, Stephen R
    • Lacherez, Phillippe E
    • Kerr, Graham K
    • Anstey, Kaarin J
    • Wood, Joanne M
  • Publication Date: 2008-6


  • English

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  • Accession Number: 01146399
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Dec 15 2009 4:31PM