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A multidomain approach for predicting older driver safety under in-traffic road conditions
Joanne M Wood1, Kaarin J Anstey, Graham K Kerr
1School of Optometry and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia. j.wood@qut.edu.au
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.
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