Validation of a screening battery to predict driving fitness in people with Parkinson's disease

Hannes Devos; Wim Vandenberghe; Alice Nieuwboer; Mark Tant; Willy De Weerdt; Jeffrey D Dawson; Ergun Y Uc

doi:10.1002/mds.25387

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Validation of a screening battery to predict driving fitness in people with Parkinson's disease

Journal article

Open access

Peer reviewed

Validation of a screening battery to predict driving fitness in people with Parkinson's disease

Hannes Devos, Wim Vandenberghe, Alice Nieuwboer, Mark Tant, Willy De Weerdt, Jeffrey D Dawson and Ergun Y Uc

Movement disorders, Vol.28(5), pp.671-674

05/2013

DOI: 10.1002/mds.25387

PMID: 23436270

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https://lirias.kuleuven.be/handle/123456789/373757View

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Abstract

We previously developed a short clinical battery, consisting of contrast sensitivity, Clinical Dementia Rating, the Unified Parkinson's Disease Rating Scale-motor section (UPDRS III), and disease duration, which correctly classified 90% of drivers with Parkinson's Disease (PD). The aim of this study was to validate that screening battery in a different sample of PD drivers. Sixty drivers with PD were enrolled to validate our original screening battery to predict driving fitness decisions (pass-fail) by a state agency where drivers underwent detailed visual, cognitive, and on-road testing. Twenty-four participants (40%) failed the driving evaluation. The screening battery correctly classified 46 (77%) participants (sensitivity and negative predictive value = 96%; specificity and positive predictive value = 64%). Adding other clinical predictors (e.g., age of onset, Hoehn-Yahr stage instead of UPDRS III) failed to improve the specificity of the model when the sensitivity was kept constant at 96%. However, a driving simulator evaluation improved the specificity of the model to 94%. The original clinical battery proved to be a valid screening tool that accurately identifies fit drivers with PD and select those who need more detailed testing at specialized centers.

Disability Evaluation

Psychomotor Performance

Predictive Value of Tests

Humans

Middle Aged

Logistic Models

Male

Parkinson Disease - psychology

Neurologic Examination

Computer Simulation

Parkinson Disease - diagnosis

Female

Aged

Retrospective Studies

Automobile Driving

Details

Title: Subtitle: Validation of a screening battery to predict driving fitness in people with Parkinson's disease
Creators: Hannes Devos - Department of Rehabilitation Sciences, KU Leuven, Heverlee, Belgium. hannes.devos@faber.kuleuven.be
Wim Vandenberghe
Alice Nieuwboer
Mark Tant
Willy De Weerdt
Jeffrey D Dawson
Ergun Y Uc
Resource Type: Journal article
Publication Details: Movement disorders, Vol.28(5), pp.671-674
DOI: 10.1002/mds.25387
PMID: 23436270
NLM abbreviation: Mov Disord
ISSN: 0885-3185
eISSN: 1531-8257
Publisher: United States
Language: English
Date published: 05/2013
Academic Unit: Neurology; Public Health Administration; Biostatistics
Record Identifier: 9983997439202771

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