Vision impairment and traffic safety outcomes in low-income and middle-income countries: a systematic review and meta-analysis.


Journal

The Lancet. Global health
ISSN: 2214-109X
Titre abrégé: Lancet Glob Health
Pays: England
ID NLM: 101613665

Informations de publication

Date de publication:
10 2021
Historique:
received: 25 03 2021
revised: 01 06 2021
accepted: 21 06 2021
pubmed: 20 8 2021
medline: 29 9 2021
entrez: 19 8 2021
Statut: ppublish

Résumé

Road traffic injuries are a major public health concern and their prevention requires concerted efforts. We aimed to systematically analyse the current evidence to establish whether any aspects of vision, and particularly interventions to improve vision function, are associated with traffic safety outcomes in low-income and middle-income countries (LMICs). We did a systematic review and meta-analysis to assess the association between poor vision and traffic safety outcomes. We searched MEDLINE, Embase, PsycINFO, CINAHL, Web of Science, Cochrane Database of Systematic Reviews, and the Cochrane Central Register of Controlled Trials in the Cochrane Library from database inception to April 2, 2020. We included any interventional or observational studies assessing whether vision is associated with traffic safety outcomes, studies describing prevalence of poor vision among drivers, and adherence to licensure regulations. We excluded studies done in high-income countries. We did a meta-analysis to explore the associations between vision function and traffic safety outcomes and a narrative synthesis to describe the prevalence of vision disorders and adherence to licensure requirements. We used random-effects models with residual maximum likelihood method. The systematic review protocol was registered on PROSPERO, CRD-42020180505. We identified 49 (1·8%) eligible articles of 2653 assessed and included 29 (59·2%) in the various data syntheses. 15 394 participants (mean sample size n=530 [SD 824]; mean age of 39·3 years [SD 9·65]; 1167 [7·6%] of 15 279 female) were included. The prevalence of vision impairment among road users ranged from 1·2% to 26·4% (26 studies), colour vision defects from 0·5% to 17·1% (15 studies), and visual field defects from 2·0% to 37·3% (ten studies). A substantial proportion (range 10·6-85·4%) received licences without undergoing mandatory vision testing. The meta-analysis revealed a 46% greater risk of having a road traffic crash among those with central acuity visual impairment (risk ratio [RR] 1·46 [95% CI 1·20-1·78]; p=0·0002, 13 studies) and a greater risk among those with defects in colour vision (RR 1·36 [1·01-1·82]; p=0·041, seven studies) or the visual field (RR 1·36 [1·25-1·48]; p<0·0001, seven studies). The I This systematic review shows a positive association between vision impairment and traffic crashes in LMICs. Our findings provide support for mandatory vision function assessment before issuing a driving licence. None.

Sections du résumé

BACKGROUND
Road traffic injuries are a major public health concern and their prevention requires concerted efforts. We aimed to systematically analyse the current evidence to establish whether any aspects of vision, and particularly interventions to improve vision function, are associated with traffic safety outcomes in low-income and middle-income countries (LMICs).
METHODS
We did a systematic review and meta-analysis to assess the association between poor vision and traffic safety outcomes. We searched MEDLINE, Embase, PsycINFO, CINAHL, Web of Science, Cochrane Database of Systematic Reviews, and the Cochrane Central Register of Controlled Trials in the Cochrane Library from database inception to April 2, 2020. We included any interventional or observational studies assessing whether vision is associated with traffic safety outcomes, studies describing prevalence of poor vision among drivers, and adherence to licensure regulations. We excluded studies done in high-income countries. We did a meta-analysis to explore the associations between vision function and traffic safety outcomes and a narrative synthesis to describe the prevalence of vision disorders and adherence to licensure requirements. We used random-effects models with residual maximum likelihood method. The systematic review protocol was registered on PROSPERO, CRD-42020180505.
FINDINGS
We identified 49 (1·8%) eligible articles of 2653 assessed and included 29 (59·2%) in the various data syntheses. 15 394 participants (mean sample size n=530 [SD 824]; mean age of 39·3 years [SD 9·65]; 1167 [7·6%] of 15 279 female) were included. The prevalence of vision impairment among road users ranged from 1·2% to 26·4% (26 studies), colour vision defects from 0·5% to 17·1% (15 studies), and visual field defects from 2·0% to 37·3% (ten studies). A substantial proportion (range 10·6-85·4%) received licences without undergoing mandatory vision testing. The meta-analysis revealed a 46% greater risk of having a road traffic crash among those with central acuity visual impairment (risk ratio [RR] 1·46 [95% CI 1·20-1·78]; p=0·0002, 13 studies) and a greater risk among those with defects in colour vision (RR 1·36 [1·01-1·82]; p=0·041, seven studies) or the visual field (RR 1·36 [1·25-1·48]; p<0·0001, seven studies). The I
INTERPRETATION
This systematic review shows a positive association between vision impairment and traffic crashes in LMICs. Our findings provide support for mandatory vision function assessment before issuing a driving licence.
FUNDING
None.

Identifiants

pubmed: 34411516
pii: S2214-109X(21)00303-X
doi: 10.1016/S2214-109X(21)00303-X
pii:
doi:

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1411-e1422

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2021 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests NC works as director of research for Orbis International, an organisation working on global eye health, including vision and traffic safety. NC is supported by the Ulverscroft Foundation, UK. GM reports personal fees for consulting on regulatory compliance in Japan, the UK, and the USA for Adlens, a manufacturer of eyewear, outside the submitted work. All other authors declare no competing interests.

Auteurs

Prabhath Piyasena (P)

School of Medicine, Dentistry and Biomedical Sciences, Institute of Clinical Science, Centre for Public Health, Royal Victoria Hospital, Queen's University, Belfast, UK.

Victoria Odette Olvera-Herrera (VO)

School of Medicine, Dentistry and Biomedical Sciences, Institute of Clinical Science, Centre for Public Health, Royal Victoria Hospital, Queen's University, Belfast, UK.

Ving Fai Chan (VF)

School of Medicine, Dentistry and Biomedical Sciences, Institute of Clinical Science, Centre for Public Health, Royal Victoria Hospital, Queen's University, Belfast, UK; School of Optometry, College of Health Sciences, University of KwaZulu-Natal, Durban, South Africa.

Mike Clarke (M)

School of Medicine, Dentistry and Biomedical Sciences, Institute of Clinical Science, Centre for Public Health, Royal Victoria Hospital, Queen's University, Belfast, UK.

David M Wright (DM)

School of Medicine, Dentistry and Biomedical Sciences, Institute of Clinical Science, Centre for Public Health, Royal Victoria Hospital, Queen's University, Belfast, UK.

Graeme MacKenzie (G)

Riemann Limited, London, UK; Clearly Initiatives, London, UK.

Gianni Virgili (G)

School of Medicine, Dentistry and Biomedical Sciences, Institute of Clinical Science, Centre for Public Health, Royal Victoria Hospital, Queen's University, Belfast, UK.

Nathan Congdon (N)

School of Medicine, Dentistry and Biomedical Sciences, Institute of Clinical Science, Centre for Public Health, Royal Victoria Hospital, Queen's University, Belfast, UK; Department of Preventive Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China; Orbis International, New York, NY, USA. Electronic address: ncongdon1@gmail.com.

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