%0 Journal Article
%T Driving with Parkinson¡¯s disease: Cut points for clinical predictors of on
%A Liliana Alvarez
%A Sherrilene Classen
%J Canadian Journal of Occupational Therapy
%@ 1911-9828
%D 2018
%R 10.1177/0008417418755458
%X Parkinson¡¯s disease (PD) is a common neurodegenerative disorder that impacts a person¡¯s fitness to drive. Practitioners require a sensitive and predictive battery of clinical tests to identify at-risk drivers. This study aimed to identify clinical predictors and their optimal cut points, sensitivity, specificity, and predictive values of on-road outcomes in drivers with PD. Participants (N = 101) underwent a comprehensive driving evaluation. We identified predictors of pass/fail outcomes through logistic regression and computed optimal cut points through receiver operating characteristic curves and corresponding Youden indexes. The Trail Making Test Part B (Trails B; sensitivity = .89, specificity = .74; positive predictive value [PPV] = .71; negative predictive value [NPV] = .91) and contrast sensitivity (sensitivity = .82, specificity = .63; PPV = .61; NPV = .84) emerged as significant predictors. The optimal cut point for the Trails B was 108 s (area under the curve = .86). Occupational therapists can benefit from implementing Trails B and contrast sensitivity screening as part of in-office screening of potentially at-risk drivers with PD
%K Assessment
%K Automobile driving
%K Consumer participation
%K Fitness to drive
%K Neurodegenerative disorders
%K Aptitude ¨¤ conduire
%K Conduite automobile
%K ¨¦valuation
%K Participation des consommateurs
%K Troubles neurod¨¦g¨¦n¨¦ratifs
%U https://journals.sagepub.com/doi/full/10.1177/0008417418755458