Literature DB >> 18696392

An Australasian model license reassessment procedure for identifying potentially unsafe drivers.

Brian N Fildes1, Judith Charlton, Nicola Pronk, Jim Langford, Jennie Oxley, Sjaanie Koppel.   

Abstract

Most licensing jurisdictions in Australia currently employ age-based assessment programs as a means to manage older driver safety, yet available evidence suggests that these programs have no safety benefits. This paper describes a community referral-based model license re assessment procedure for identifying and assessing potentially unsafe drivers. While the model was primarily developed for assessing older driver fitness to drive, it could be applicable to other forms of driver impairment associated with increased crash risk. It includes a three-tier process of assessment, involving the use of validated and relevant assessment instruments. A case is argued that this process is a more systematic, transparent and effective process for managing older driver safety and thus more likely to be widely acceptable to the target community and licensing authorities than age-based practices.

Mesh:

Year:  2008        PMID: 18696392     DOI: 10.1080/15389580802091199

Source DB:  PubMed          Journal:  Traffic Inj Prev        ISSN: 1538-9588            Impact factor:   1.491


  3 in total

1.  The association of driver age with traffic injury severity in Wisconsin.

Authors:  Robert B Hanrahan; Peter M Layde; Shankuan Zhu; Clare E Guse; Stephen W Hargarten
Journal:  Traffic Inj Prev       Date:  2009-08       Impact factor: 1.491

2.  The Risk of Functional Limitations After Driving Cessation Among Older Japanese Adults: The JAGES Cohort Study.

Authors:  Hiroshi Hirai; Masao Ichikawa; Naoki Kondo; Katsunori Kondo
Journal:  J Epidemiol       Date:  2019-06-22       Impact factor: 3.211

3.  An analysis of changes in mobility and safety of older drivers associated with a specific older driver on-road licensing test: a population study.

Authors:  Michael D Keall; Esther Woodbury
Journal:  BMC Public Health       Date:  2014-02-14       Impact factor: 3.295

  3 in total

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