Evidence map›Paper›PMID 27530283›Full record

ArticleClinical & experimental optometry2016

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

Carlyn Muir, Judith L Charlton, Morris Odell, Jill Keeffe, Joanne Wood, Megan Bohensky, Brian Fildes, Jennifer Oxley, Sharon Bentley, Matthew Rizzo

Abstract read
In one paragraph

Article in Clinical & experimental optometry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Driving and exceptional cases: Supporting relicensing evaluation in patients whose visual fields fail to meet standards.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Carlyn MuirAccident Research Centre, Monash University, Melbourne, Victoria, Australia. carlyn.muir@monash.edu.
Judith L CharltonAccident Research Centre, Monash University, Melbourne, Victoria, Australia.
Morris OdellVictorian Institute of Forensic Medicine, Melbourne, Victoria, Australia.
Jill KeeffeDepartment of Ophthalmology, The University of Melbourne, Melbourne, Victoria, Australia.
Joanne WoodSchool of Optometry and Vision Science and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
Megan BohenskyAccident Research Centre, Monash University, Melbourne, Victoria, Australia.
Brian FildesAccident Research Centre, Monash University, Melbourne, Victoria, Australia.
Jennifer OxleyAccident Research Centre, Monash University, Melbourne, Victoria, Australia.
Sharon BentleyAustralian College of Optometry, National Vision Research Institute, The University of Melbourne, Melbourne, Victoria, Australia.
Matthew RizzoDepartment of Neurological Sciences, University of Nebraska Medical Centre, Omaha, Nebraska, USA.

Funding

Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GUDA, CHITTIBABU · 2016 to 2025
$42.8M
PREDICTIONS OF DRIVER SAFETY IN ADVANCING AGER01AG017177 · NIA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI RIZZO, MATTHEW · 1999 to 2024
$9.9M
NIA NIH HHS R01 AG017177NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

backgroundGood 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.

methodsA 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.

resultsApproximately 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.

conclusionThe 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.

Indexed as

Automobile DrivingLicensureVisual FieldsAdultAgedAged, 80 and overFemaleGlaucomaHumansLogistic ModelsMaleMiddle AgedVision Disordersdriver's visionmedical reviewvisual fields

Identifiers

PMID27530283
PMCPMC5479069

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.