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01 · ABSTRACT

Abstract

Seniors represent the fastest growing population group in Canada and the United States. Given the expected increase in elderly drivers with dementia, efficient and effective screening for cognitive impairment will become more important. In light of this need, the objective of this study was to systematically review and meta-analyze the literature for brief, non-computerized cognitive screens that were evidenced-based and could be easily adopted in a driver license renewal or fitness-to-drive setting to determine their predictive value to identify unsafe driving. Studies were considered that examined road tests, driving simulator assessment or motor vehicle crashes as primary outcomes and 9 studies identifying 10 separate tests were identified based on our inclusion criteria. A small to medium-sized, significant pooled effect of 1.94 was found, meaning that on average, when cognitive screening tools predict a driver is unsafe, there is a 94% greater chance that this driver will indeed exhibit unsafe driving behavior. These results suggest that brief, paper and pencil cognitive screens may be feasible and efficiently adopted either during routine license renewal or during fitness to drive evaluations. Further studies are warranted in regards to their acceptability, reliability and validity before widespread dissemination.

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02 · OJS METADATA

Keywords

cognitive screeningmeta-analysisolder driverselderly driversmultilevel model
03 · PUBLICATION RECORD

Article details

JournalMedical Research Archives
IssueVol 5 No 4 (2017): Vol.5 Issue 4, April, 2017
SectionResearch Articles
Published15 April 2017
ISSN2375-1924
04 · RIGHTS & REUSE

Rights & reuse

This article is published under a Creative Commons Attribution License (CC BY 3.0) and may be shared or distributed by anyone as long as attribution is given to the journal.

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