Korner-Bitensky Nicol, Sofer Susan
School of Physical and Occupational Therapy, McGill University, Montreal, Quebec, Canada.
Aust Occup Ther J. 2009 Jun;56(3):200-5. doi: 10.1111/j.1440-1630.2008.00749.x.
BACKGROUND/AIM: There is growing concern regarding the need for screening of older drivers. The objective of this study was to determine whether the DriveABLE Competence Screen, a computerised test, predicts on-road driving outcome in clients referred for a driving assessment.
This retrospective study evaluated the predictive validity of pre-road testing using the DriveABLE Screen. Fifty-two clients with varying health conditions were consecutively referred to a private practice that conducts comprehensive driving evaluations. Screen results are classified as recommend cessation of driving, indeterminate (requires on-road evaluation), or no evidence of reduced competence. The DriveABLE Road Test classifies subjects as pass, borderline pass, or fail.
Sensitivity, specificity, positive and negative predictive values were generated using the Road Test as the criterion outcome. The positive predictive validity of the Screen in identifying those who would fail the Road Test was 97% (n= 32 of 33). The negative predictive validity was 47%. The sensitivity was 76% with a corresponding specificity of 90%.
The DriveABLE Screen, when used as a case finding tool, is highly predictive of clients who will fail an on-road driving evaluation.
背景/目的：对于老年驾驶员筛查需求的关注日益增加。本研究的目的是确定一种计算机化测试——DriveABLE能力筛查，能否预测被转介进行驾驶评估的客户的实际道路驾驶结果。
这项回顾性研究评估了使用DriveABLE筛查进行上路前测试的预测效度。52名健康状况各异的客户被连续转介至一家进行全面驾驶评估的私人诊所。筛查结果分为建议停止驾驶、不确定（需要上路评估）或无能力下降证据。DriveABLE道路测试将受试者分为通过、边缘通过或未通过。
以道路测试作为标准结果，计算出敏感性、特异性、阳性和阴性预测值。该筛查在识别那些道路测试会不及格的人方面的阳性预测效度为97%（33人中有32人）。阴性预测效度为47%。敏感性为76%，相应的特异性为90%。
当用作病例发现工具时，DriveABLE筛查对那些实际道路驾驶评估会不及格的客户具有高度预测性。
