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

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


Prospective cohort study.


University laboratory assessment and an on-road driving test.


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


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


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%.


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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