[article] 
inAmerican Journal of Occupational Therapy > Vol. 68/1 (janvier-février 2014) . - p.77-85

Titre :	Driving errors in Parkinson's disease: moving closer to predicting on-road outcomes
Type de document :	texte imprimé
Auteurs :	Sherrilene Classen ; Babette BRUMBACK ; Miriam MONAHAN ; et al.
Année de publication :	2014
Article en page(s) :	p.77-85
Langues :	Anglais (eng)
Mots-clés :	Conduite automobile  Maladie Parkinson  Performance  Sécurité
Résumé :	Age-related medical conditions such as Parkinson’s disease (PD) compromise driver fitness. Results from studies are unclear on the specific driving errors that underlie passing or failing an on-road assessment. In this study, we determined the between-group differences and quantified the on-road driving errors that predicted pass or fail on-road outcomes in 101 drivers with PD (mean age = 69.38 + 7.43) and 138 healthy control (HC) drivers (mean age = 71.76 + 5.08). Participants with PD had minor differences in demographics and driving habits and history but made more and different driving errors than HC participants. Drivers with PD failed the on-road test to a greater extent than HC drivers (41% vs. 9%), χ2(1) = 35.54, HC N = 138, PD N = 99, p < .001. The driving errors predicting on-road pass or fail outcomes (95% confidence interval, Nagelkerke R2 =.771) were made in visual scanning, signaling, vehicle positioning, speeding (mainly underspeeding, t(61) = 7.004, p < .001, and total errors. Although it is difficult to predict on-road outcomes, this study provides a foundation for doing so.
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[article] Driving errors in Parkinson's disease: moving closer to predicting on-road outcomes [texte imprimé] / Sherrilene Classen ; Babette BRUMBACK ; Miriam MONAHAN ; et al. . - 2014 . - p.77-85.
Langues : Anglais (eng)
in American Journal of Occupational Therapy > Vol. 68/1 (janvier-février 2014) . - p.77-85

Mots-clés :	Conduite automobile  Maladie Parkinson  Performance  Sécurité
Résumé :	Age-related medical conditions such as Parkinson’s disease (PD) compromise driver fitness. Results from studies are unclear on the specific driving errors that underlie passing or failing an on-road assessment. In this study, we determined the between-group differences and quantified the on-road driving errors that predicted pass or fail on-road outcomes in 101 drivers with PD (mean age = 69.38 + 7.43) and 138 healthy control (HC) drivers (mean age = 71.76 + 5.08). Participants with PD had minor differences in demographics and driving habits and history but made more and different driving errors than HC participants. Drivers with PD failed the on-road test to a greater extent than HC drivers (41% vs. 9%), χ2(1) = 35.54, HC N = 138, PD N = 99, p < .001. The driving errors predicting on-road pass or fail outcomes (95% confidence interval, Nagelkerke R2 =.771) were made in visual scanning, signaling, vehicle positioning, speeding (mainly underspeeding, t(61) = 7.004, p < .001, and total errors. Although it is difficult to predict on-road outcomes, this study provides a foundation for doing so.
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