Location

Aspen, Colorado, USA

Date

16-8-2001

Session

Technical Session 6 - Medical Factors

Abstract

Objective: To identify from a predriving assessment the tests that best predict the driving ability of stroke patients. Design: Examination of records of 104 first ever stroke patients who visited the Belgian Institute for Road Safety in 1998 and 1999 and performed the medical, visual, perceptual and the ‘on the road’ assessments. Measures: Variables such as age, sex, side of lesion, driving experience, visual tests, neuropsychological assessments most of which are from the Test for Attentional Performance (TAP) battery and an ‘on the road’ test were considered. Based on performances of subjects on the tests, a suitable, not immediately suitable or not suitable to drive decision was jointly taken by the team of assessors. Results: Following a logistic regression analysis, a combination of side of lesion, kinetic vision, visual scanning and the ‘on the road’ tests led to the best model in predicting the final group decision (R2 =0.53). The ‘on the road’ test was the most important determinant (R2 =0.42). Conclusion: The predictive accuracy of the decision is moderate. Inclusion of assessments more closely related to real road situations should be considered.

Comments

Honda Outstanding Student Paper Award

Rights

Copyright © 2001 the author(s)

DC Citation

Proceedings of the First International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design, 14-17 August 2001, Aspen, Colorado. Iowa City, IA: Public Policy Center, of Iowa, 2001: 230-233.

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Aug 16th, 12:00 AM

Determinants of Driving After Stroke

Aspen, Colorado, USA

Objective: To identify from a predriving assessment the tests that best predict the driving ability of stroke patients. Design: Examination of records of 104 first ever stroke patients who visited the Belgian Institute for Road Safety in 1998 and 1999 and performed the medical, visual, perceptual and the ‘on the road’ assessments. Measures: Variables such as age, sex, side of lesion, driving experience, visual tests, neuropsychological assessments most of which are from the Test for Attentional Performance (TAP) battery and an ‘on the road’ test were considered. Based on performances of subjects on the tests, a suitable, not immediately suitable or not suitable to drive decision was jointly taken by the team of assessors. Results: Following a logistic regression analysis, a combination of side of lesion, kinetic vision, visual scanning and the ‘on the road’ tests led to the best model in predicting the final group decision (R2 =0.53). The ‘on the road’ test was the most important determinant (R2 =0.42). Conclusion: The predictive accuracy of the decision is moderate. Inclusion of assessments more closely related to real road situations should be considered.