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

• Autores: Joanne M. Wood, Kaarin J. Anstey, Graham K. Kerr, Philippe F. Lacherez, Stephen R. Lord
• Localización: Journal of the American Geriatrics Society, ISSN 0002-8614, Vol. 56, Nº. 6, 2008, págs. 986-993
• Idioma: inglés
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• Resumen

  • OBJECTIVES: To identify a battery of tests that predicts safe and unsafe performance on an on-road assessment of driving.

    DESIGN: Prospective cohort study.

    SETTING: University laboratory assessment and an on-road driving test.

    PARTICIPANTS: Two hundred seventy community-living adults aged 70 to 88 recruited through the electoral roll.

    MEASUREMENTS: Performance on a battery of multidisciplinary tests and on a standardized measure of on-road driving performance.

    RESULTS: A combination of three 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%.

    CONCLUSION: 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.