A multidomain approach for predicting older driver safety under in-traffic road conditions

Wood, Joanne M., Anstey, Kaarin J., Kerr, Graham K., Lacherez, Philippe F., & Lord, Stephen (2008) A multidomain approach for predicting older driver safety under in-traffic road conditions. Journal of the American Geriatrics Society, 56(6), pp. 986-993.

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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.

Impact and interest:

75 citations in Scopus
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63 citations in Web of Science®

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ID Code: 20178
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Driving safety, Predictors, Older drivers, On-road driving performance
DOI: 10.1111/j.1532-5415.2008.01709.x
ISSN: 0002-8614
Subjects: Australian and New Zealand Standard Research Classification > MEDICAL AND HEALTH SCIENCES (110000) > OPTOMETRY AND OPHTHALMOLOGY (111300) > Vision Science (111303)
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Exercise & Nutrition Sciences
Current > Schools > School of Optometry & Vision Science
Deposited On: 28 Apr 2009 05:03
Last Modified: 01 Mar 2012 01:31

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