Literature DB >> 14636664

Assessment of older drivers: relationships among on-road errors, medical conditions and test outcome.

Marilyn Di Stefano1, Wendy Macdonald.   

Abstract

PROBLEM: It is essential that driver licensing authorities have a valid and reliable system for evaluating older drivers' continuing competency; road tests are usually required as part of such a system. This study sought to find information about the nature of driving errors made during license review tests, and about relationships between error type and test outcome for older drivers.
METHOD: Data from licensing authority files from 533 road tests during a 12-month period were analyzed; medical and other referral information was included. Average driver age was 76 years. Performance scores were generated for intersection negotiation, lane changing, low speed manoeuvres, positioning and speed control, safety margin, and car control.
RESULTS: Logistic regression analysis showed that test outcome was well predicted by a subset of driving performance scores; adding driver age to the model explained very little variance. Age alone was strongly associated with outcome. Relationships between referral information and test outcome are also reported. IMPACT: Results highlight several factors relevant to the development of more valid and reliable road tests for older drivers.

Mesh:

Year:  2003        PMID: 14636664     DOI: 10.1016/j.jsr.2003.09.010

Source DB:  PubMed          Journal:  J Safety Res        ISSN: 0022-4375


  10 in total

1.  Evaluation of on-road driving in people with hemianopia and quadrantanopia.

Authors:  Jennifer Elgin; Gerald McGwin; Joanne M Wood; Michael S Vaphiades; Ronald A Braswell; Dawn K DeCarlo; Lanning B Kline; Cynthia Owsley
Journal:  Am J Occup Ther       Date:  2010 Mar-Apr

2.  Should family physicians assess fitness to drive?: No.

Authors:  Keith Martin Laycock
Journal:  Can Fam Physician       Date:  2010-12       Impact factor: 3.275

3.  The Relationship between Older Drivers' Performance on the Driving Observation Schedule (eDOS) and Cognitive Performance.

Authors:  Sjaan Koppel; Judith Charlton; Jim Langford; Zafiroula Vlahodimitrakou; Marilyn Di Stefano; Wendy Macdonald; Barbara Mazer; Isabelle Gelinas; Brenda Vrkljan; Shawn Marshall
Journal:  Ann Adv Automot Med       Date:  2013

4.  Interrater Reliability of the Record of Driving Errors (RODE).

Authors:  Peggy P Barco; David B Carr; Kathleen Rutkoski; Chengjie Xiong; Catherine M Roe
Journal:  Am J Occup Ther       Date:  2015 Mar-Apr

5.  Active training and driving-specific feedback improve older drivers' visual search prior to lane changes.

Authors:  Martin Lavallière; Martin Simoneau; Mathieu Tremblay; Denis Laurendeau; Normand Teasdale
Journal:  BMC Geriatr       Date:  2012-03-02       Impact factor: 3.921

6.  Naturalistic validation of an on-road driving test of older drivers.

Authors:  Brian R Ott; George D Papandonatos; Jennifer D Davis; Peggy P Barco
Journal:  Hum Factors       Date:  2012-08       Impact factor: 2.888

7.  Accuracy of the DriveABLE cognitive assessment to determine cognitive fitness to drive.

Authors:  Allen R Dobbs
Journal:  Can Fam Physician       Date:  2013-03       Impact factor: 3.275

8.  Road test and naturalistic driving performance in healthy and cognitively impaired older adults: does environment matter?

Authors:  Jennifer D Davis; George D Papandonatos; Lindsay A Miller; Scott D Hewitt; Elena K Festa; William C Heindel; Brian R Ott
Journal:  J Am Geriatr Soc       Date:  2012-10-30       Impact factor: 5.562

9.  Road safety in drivers with Parkinson disease.

Authors:  E Y Uc; M Rizzo; A M Johnson; E Dastrup; S W Anderson; J D Dawson
Journal:  Neurology       Date:  2009-12-15       Impact factor: 11.800

10.  The Alabama VIP older driver study rationale and design: examining the relationship between vision impairment and driving using naturalistic driving techniques.

Authors:  Cynthia Owsley; Gerald McGwin; Jonathan F Antin; Joanne M Wood; Jennifer Elgin
Journal:  BMC Ophthalmol       Date:  2018-02-07       Impact factor: 2.209

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.