Evidence map›Paper›PMID 40664499›Full record

ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2025

'Road safety is no accident': building efficient road safety lead agencies, strategies and targets in the world, 2009-2023.

Matts-Åke Belin, Meleckidzedeck Khayesi, Nhan Tran

Abstract read
In one paragraph

Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Matts-Åke BelinDepartment of Social Determinants of Health, World Health Organization, Geneva, Switzerland belinm@who.int.ORCID 0000-0003-4500-7137
Meleckidzedeck KhayesiDepartment of Social Determinants of Health, World Health Organization, Geneva, Switzerland.ORCID 0000-0002-2335-4077
Nhan TranDepartment of Social Determinants of Health, World Health Organization, Geneva, Switzerland.

Funding

World Health Organization 001
6 · The paper itself

Abstract

The objective of this study is to examine the pattern in building road safety lead agencies, national strategies and national quantified targets in the world in the period 2009-2023. This was done through an analysis of reported presence of road safety lead agencies, national strategies and national quantified targets based on data collected through a questionnaire for five global status reports on road safety. The results show that there has been a steady growth in road safety lead agencies, national strategies and quantified targets globally and by WHO regions in the period 2009-2023. While, on the one hand, substantial increases in these three governance features were observed in Africa and the Americas, on the other hand, slight declines were observed in these features in Europe and some countries in the Pacific. In conclusion, there has been a steady growth in the number of road safety lead agencies, national strategies and quaantified targets globally and by WHO regions in the period 2009-2023. However, there were declines in these governance tools in some countries. Further resarch into how efficiently these tools are being used is needed to provide insights into the effectiveness of road safety policies, organisations and institutions worldwide.

Indexed as

Accidents, TrafficSafetySafety ManagementGlobal HealthHumansSurveys and QuestionnairesWorld Health OrganizationGlobalPlanningPolicyPolicy analysis

Identifiers

PMID40664499
PMCPMC12772537

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.