Research Article  |   September 2013
Predicting Older Driver On-Road Performance by Means of the Useful Field of View and Trail Making Test Part B
Author Affiliations
  • Sherrilene Classen, PhD, MPH, OTR/L, is Professor and Director, School of Occupational Therapy, Elborn College, Western University, London, Ontario, Canada, N6A 5B9; sclassen@uwo.ca. At the time of the study, she was Director, Institute for Mobility, Activity and Participation, and Associate Professor, Department of Occupational Therapy, College of Public Health and Health Professions, University of Florida, Gainesville
  • Yanning Wang, MS, is Doctoral Student, Department of Epidemiology, College of Public Health and Health Professions, University of Florida, Gainesville
  • Alexander M. Crizzle, PhD, MPH, is Postdoctoral Associate, Institute for Mobility, Activity and Participation, and Department of Occupational Therapy, College of Public Health and Health Professions, University of Florida, Gainesville
  • Sandra M. Winter, PhD, OTR/L, is Research Coordinator, Institute for Mobility, Activity and Participation, and Postdoctoral Associate, Department of Occupational Therapy, College of Public Health and Health Professions, University of Florida, Gainesville
  • Desiree N. Lanford, MOT, OTR/L, CDRS, is Certified Driving Rehabilitation Specialist, Institute for Mobility, Activity and Participation and Department of Occupational Therapy, College of Public Health and Health Professions, University of Florida, Gainesville
Article Information
Community Mobility and Driving / Geriatrics/Productive Aging / Productive Aging
Research Article   |   September 2013
Predicting Older Driver On-Road Performance by Means of the Useful Field of View and Trail Making Test Part B
American Journal of Occupational Therapy, September/October 2013, Vol. 67, 574-582. doi:10.5014/ajot.2013.008136
American Journal of Occupational Therapy, September/October 2013, Vol. 67, 574-582. doi:10.5014/ajot.2013.008136
Abstract

The Useful Field of View® (UFOV) and Trail Making Test Part B (Trails B) are measures of divided attention. We determined which measure was more accurate in predicting on-road outcomes among drivers (N = 198, mean age = 73.86, standard deviation = 6.05). Receiver operating characteristic curves for the UFOV (Risk Index [RI] and Subtests 1–3) and Trails B significantly predicted on-road outcomes. Contrasting Trails B with the UFOV RI and subtests, the only difference was found between the UFOV RI and Trails B, indicating the UFOV RI was the best predictor of on-road outcomes. Misclassifications of drivers totaled 28 for the UFOV RI, 62 for Trails B, and 58 for UFOV Subtest 2. The UFOV RI is a superior test in predicting on-road outcomes, but the Trails B has acceptable accuracy and is comparable to the other UFOV subtests.