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

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Abstract

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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