Clinical predictors of driving simulator performance in drivers with multiple sclerosis

Author:

Krasniuk Sarah1,Classen Sherrilene2,Morrow Sarah A3,Alvarez Liliana4,He Wenqing5,Srinivasan Sivaramakrishnan6,Monahan Miriam7

Affiliation:

1. Health and Rehabilitation Sciences, University of Western Ontario, London, ON, Canada

2. Department of Occupational Therapy, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA

3. Department of Clinical Neurological Sciences, Schulich School of Medicine and Dentistry, University of Western Ontario, London, ON, Canada/London Health Sciences Centre, London, ON, Canada

4. School of Occupational Therapy, University of Western Ontario, London, ON, Canada

5. Department of Statistical and Actuarial Sciences, University of Western Ontario, London, ON, Canada

6. Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL, USA

7. Driver Rehabilitation Institute, Petaluma, CA, USA

Abstract

Background: Drivers with multiple sclerosis (MS) may experience visual–cognitive impairment that affects their fitness to drive. Due to limitations associated with the on-road assessment, an alternative assessment that measures driving performance is warranted. Whether clinical indicators of on-road outcomes can also predict driving performance outcomes on a driving simulator are not fully understood. Objective: This study examined if deficits in immediate verbal/auditory recall (California Verbal Learning Test–Second Edition; CVLT2-IR) and/or slower divided attention (Useful Field of View™; UFOV2) predicted deficits in operational, tactical, or strategic maneuvers assessed on a driving simulator, in drivers with and without MS. Methods: Participants completed the CVLT2-IR, UFOV2, and a driving simulator assessment of operational, tactical, and strategic maneuvers. Results: Deficits in immediate verbal/auditory recall and slower divided attention predicted adjustment to stimuli errors, pertaining to tactical maneuvers only, in 36 drivers with MS (vs 20 drivers without MS; F(3, 51) = 6.1, p = 0.001, R2 = 0.3, [Formula: see text]). Conclusion: The CVLT2-IR and UFOV2 capture the visual and verbal/auditory recall, processing speed, and divided attention required to appropriately adjust to stimuli in a simulated driving environment. Clinicians may use the CVLT2-IR and UFOV2 as precursors to driving performance deficits in drivers with MS.

Publisher

SAGE Publications

Subject

Clinical Neurology,Neurology

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