Clinical predictors of driving simulator performance in drivers with multiple sclerosis

Mult Scler. 2021 Nov;27(13):2085-2092. doi: 10.1177/1352458521992507. Epub 2021 Feb 10.

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, Radj2=0.2).

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.

Keywords: Multiple sclerosis; automobile driving; cognitive impairment; computer simulation; driving performance; outcome measurement.

MeSH terms

  • Attention
  • Automobile Driving*
  • Cognition
  • Computer Simulation
  • Humans
  • Memory, Short-Term
  • Multiple Sclerosis*