Literature DB >> 27530283

Medical review licensing outcomes in drivers with visual field loss in Victoria, Australia.

Carlyn Muir1, Judith L Charlton2, Morris Odell3, Jill Keeffe4, Joanne Wood5, Megan Bohensky2, Brian Fildes2, Jennifer Oxley2, Sharon Bentley6, Matthew Rizzo7.   

Abstract

BACKGROUND: Good vision is essential for safe driving and studies have associated visual impairment with an increased crash risk. Currently, there is little information about the medical review of drivers with visual field loss. This study examines the prevalence of visual field loss among drivers referred for medical review in one Australian jurisdiction and investigates factors associated with licence outcome in this group.
METHODS: A random sample of 10,000 (31.25 per cent) medical review cases was extracted for analysis from the Victorian licensing authority. Files were screened for the presence of six visual field-related medical conditions. Data were captured on a range of variables, including referral source, age, gender, health status, crash history and licence outcome. Prevalence analyses were univariate and descriptive. Logistic regression was used to assess factors associated with licence outcomes in the visual field loss group.
RESULTS: Approximately 1.9 per cent of the 10,000 medical review cases screened had a visual field loss condition identified (n = 194). Among the visual field loss group, 57.2 per cent were permitted to continue driving (conditional/unconditional licence). Primary referral sources were the police, self-referrals and general medical practitioners. Key factors associated with licence test outcomes were visual field condition, age group, crash involvement and referral to the Driver Licensing Authority's Medical Advisors. Those who were younger had a crash involvement triggering referral and those who were referred to the Medical Advisors were more likely to have a positive licensing outcome.
CONCLUSION: The evidence base for making licensing decisions is complicated by the variable causes, patterns, progressions and measuring technologies for visual field loss. This study highlighted that the involvement of an expert medical advisory service in Victoria resulted in an increased likelihood that drivers with visual field loss will be allowed to continue driving. Further research is warranted to explore issues relating to severity of field loss and the capacity for compensation.
© 2016 Optometry Australia.

Entities:  

Keywords:  driver's vision; medical review; visual fields

Mesh:

Year:  2016        PMID: 27530283      PMCID: PMC5479069          DOI: 10.1111/cxo.12442

Source DB:  PubMed          Journal:  Clin Exp Optom        ISSN: 0816-4622            Impact factor:   2.742


  39 in total

1.  Age-specific prevalence and causes of bilateral and unilateral visual impairment in older Australians: the Blue Mountains Eye Study.

Authors:  J J Wang; S Foran; P Mitchell
Journal:  Clin Exp Ophthalmol       Date:  2000-08       Impact factor: 4.207

2.  The association between primary open-angle glaucoma and motor vehicle collisions.

Authors:  Sachiko Tanabe; Kenya Yuki; Naoki Ozeki; Daisuke Shiba; Takayuki Abe; Keisuke Kouyama; Kazuo Tsubota
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-06-13       Impact factor: 4.799

3.  Hemianopic and quadrantanopic field loss, eye and head movements, and driving.

Authors:  Joanne M Wood; Gerald McGwin; Jennifer Elgin; Michael S Vaphiades; Ronald A Braswell; Dawn K DeCarlo; Lanning B Kline; Cynthia Owsley
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-03-02       Impact factor: 4.799

4.  Vision loss in Australia.

Authors:  Hugh R Taylor; Jill E Keeffe; Hien T V Vu; Jie Jin Wang; Elena Rochtchina; M Lynne Pezzullo; Paul Mitchell
Journal:  Med J Aust       Date:  2005-06-06       Impact factor: 7.738

5.  Visual impairment in Australia: distance visual acuity, near vision, and visual field findings of the Melbourne Visual Impairment Project.

Authors:  H R Taylor; P M Livingston; Y L Stanislavsky; C A McCarty
Journal:  Am J Ophthalmol       Date:  1997-03       Impact factor: 5.258

Review 6.  Common causes of vision loss in elderly patients.

Authors:  D A Quillen
Journal:  Am Fam Physician       Date:  1999-07       Impact factor: 3.292

7.  Self-regulatory driving practices among older adults: health, age and sex effects.

Authors:  Lidia P Kostyniuk; Lisa J Molnar
Journal:  Accid Anal Prev       Date:  2008-05-16

8.  Crash risks of older drivers: a panel data analysis.

Authors:  P S Hu; D A Trumble; D J Foley; J W Eberhard; R B Wallace
Journal:  Accid Anal Prev       Date:  1998-09

9.  Age and visual impairment decrease driving performance as measured on a closed-road circuit.

Authors:  Joanne M Wood
Journal:  Hum Factors       Date:  2002       Impact factor: 2.888

10.  Driving with binocular visual field loss? A study on a supervised on-road parcours with simultaneous eye and head tracking.

Authors:  Enkelejda Kasneci; Katrin Sippel; Kathrin Aehling; Martin Heister; Wolfgang Rosenstiel; Ulrich Schiefer; Elena Papageorgiou
Journal:  PLoS One       Date:  2014-02-11       Impact factor: 3.240

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  1 in total

1.  Driving and exceptional cases: Supporting relicensing evaluation in patients whose visual fields fail to meet standards.

Authors:  Robert A Harper; Jeremy A Parkes; Christine M Dickinson
Journal:  Ophthalmic Physiol Opt       Date:  2022-06-10       Impact factor: 3.992

  1 in total

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