@article{ref1,
title="Traffic violations versus driving errors of older adults: informing clinical practice",
journal="American journal of occupational therapy",
year="2010",
author="Classen, Sherrilene and Shechtman, Orit and Awadzi, Kezia D. and Joo, Yongsung and Lanford, Desiree N.",
volume="64",
number="2",
pages="233-241",
abstract="Certain driving errors are predictive of crashes, but whether the type of errors evaluated during on-road assessment is similar to traffic violations that are associated with crashes is unknown. Using the crash data of 5,345 older drivers and expert reviewers, we constructed a violation-to-error classification based on rater agreement. We examined the effects of predictor variables on crash-related injuries by risk probability using logistic regression. Drivers' mean age was 76.08 (standard deviation = 7.10); 45.7% were women. Of drivers, 44.6% sustained crash-related injuries, and female drivers had a higher injury probability (44%) than male drivers (29%). Lane maintenance, yielding, and gap acceptance errors predicted crash-related injuries with almost 50% probability; speed regulation (34%), vehicle positioning (25%), and adjustment-to-stimuli (21%) errors predicted crash-related injuries to a lesser degree. We suggest injury prevention strategies for clinicians and researchers to consider for older drivers, especially older women.<p /> <p>Language: en</p>",
language="en",
issn="0272-9490",
doi="",
url="http://dx.doi.org/"
}