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A Multidomain Approach for Predicting Older Driver Safety Under In‐Traffic Road Conditions
Author(s) -
Wood Joanne M.,
Anstey Kaarin J.,
Kerr Graham K.,
Lacherez Philippe F.,
Lord Stephen
Publication year - 2008
Publication title -
journal of the american geriatrics society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.992
H-Index - 232
eISSN - 1532-5415
pISSN - 0002-8614
DOI - 10.1111/j.1532-5415.2008.01709.x
Subject(s) - medicine , driving test , poison control , battery (electricity) , injury prevention , occupational safety and health , prospective cohort study , human factors and ergonomics , cohort , cognitive test , test (biology) , physical medicine and rehabilitation , cognition , medical emergency , surgery , power (physics) , logistic regression , physics , pathology , quantum mechanics , psychiatry , paleontology , biology
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.