Jones Ross Rachel W, Cordazzo Sheila T D, Scialfa Charles T
Department of Psychology, University of Calgary, 2500 University Drive, N.W. Calgary, T2N 1N4 Alberta, Canada.
Department of Psychology, University of Calgary, 2500 University Drive, N.W. Calgary, T2N 1N4 Alberta, Canada.
J Safety Res. 2014 Dec;51:73-80. doi: 10.1016/j.jsr.2014.09.005. Epub 2014 Oct 3.
This study evaluated the ability to predict the on-road driving of older drivers using a battery of laboratory-based instruments.
The Roadwise Review, a brief Hazard Perception Test and several tests of vision were given to 65 cognitively healthy, licensed older drivers (M = 74 years, SD = 9 years). They also participated in a standardized driving assessment of approximately 18 km, along a mixed residential and commercial route.
Raw scores on the Roadwise Review did not predict accumulated points, or automatic disqualifications, but could predict who would pass or fail the on-road evaluation. The number of serious problems (excluding head and neck flexibility) that were identified by the Roadwise Review was a significant predictor of automatic disqualifications, and a significant predictor of passing or failing the on-road assessment. The Hazard Perception Test approached significance when predicting accumulated points and was a significant predictor of automatic disqualifications, as well as pass/fail outcomes.
The best model for predicting passing or failing the on-road assessment included the Hazard Perception Test, color vision, and, a measure of walking speed from the Roadwise Review, which yielded a sensitivity of 82% and a specificity of 69% (AROC = .80). Future work will need to determine how these tests can be used with other information (e.g., medical history) to yield better diagnoses of fitness to drive, particularly among those who are medically at risk.
本研究评估了使用一系列基于实验室的仪器预测老年驾驶员道路驾驶能力的可行性。
对65名认知健康、持有驾照的老年驾驶员(平均年龄74岁,标准差9岁)进行了“道路明智评估”、一项简短的危险感知测试以及多项视力测试。他们还参与了一次约18公里的标准化驾驶评估,行驶路线包括混合的住宅和商业路段。
“道路明智评估”的原始分数不能预测累计扣分或自动取消资格,但可以预测谁能通过或通不过道路评估。“道路明智评估”识别出的严重问题数量(不包括头部和颈部灵活性问题)是自动取消资格的显著预测指标,也是道路评估通过或不通过的显著预测指标。危险感知测试在预测累计扣分时接近显著水平,并且是自动取消资格以及通过/不通过结果的显著预测指标。
预测道路评估通过或不通过的最佳模型包括危险感知测试、色觉以及“道路明智评估”中的步行速度测量指标,其灵敏度为82%,特异度为69%(曲线下面积 = 0.80)。未来的工作需要确定如何将这些测试与其他信息(如病史)结合使用,以更好地诊断驾驶适宜性,特别是在那些有医疗风险的人群中。