Peggy P. Barco, OTD, OTR/L, SCDCM, is Instructor, Program in Occupational Therapy, Washington University School of Medicine, St. Louis, MO.
Michael J. Wallendorf, PhD, is Research Statistician, Division of Biostatistics, Washington University School of Medicine, St. Louis, MO.
Am J Occup Ther. 2014 Mar-Apr;68(2):221-9. doi: 10.5014/ajot.2014.008938.
OBJECTIVE. The aim of this study was to develop a brief screening battery to predict the on-road performance of drivers who had experienced a stroke. METHOD. We examined 72 people with stroke referred by community physicians to an academic rehabilitation center. The outcome variable was pass or fail on the modified Washington University Road Test. Predictor measures were tests of visual, motor, and cognitive functioning. RESULTS. The best predictive model for failure on the road test included Trail Making Test Part A and the Snellgrove Maze Task(®). CONCLUSION. A screening battery that can be performed in less than 5 min was able to assist in the prediction of road test performance in a sample of drivers with stroke. A probability of failure calculator may be useful for clinicians in their decision to refer clients with stroke for a comprehensive driving evaluation.
本研究旨在开发一种简短的筛选工具,以预测经历过中风的驾驶员的道路行驶表现。
我们对 72 名因中风被社区医生转诊到学术康复中心的患者进行了检查。因变量为通过或未通过华盛顿大学道路测试的改良版。预测指标为视觉、运动和认知功能测试。
道路测试失败的最佳预测模型包括 Trail Making Test Part A 和 Snellgrove 迷宫任务(®)。
在中风驾驶员样本中,能够在不到 5 分钟内完成的筛选工具,可辅助预测道路测试表现。失败概率计算器可能对临床医生决定是否将中风患者转介进行全面驾驶评估有用。