Evidence map›Paper›PMID 42379720›Full record

ArticleBMJ open2026

Understanding the wider determinants of child road fatalities in England and opportunities for prevention: protocol for a mixed-methods study of the national child mortality database.

Sarah E O'Toole, Emma L Bird, Erdem Dikici, Pallavi Govind, Sylvia Stoianova, David Odd, Karen Luyt, Elizabeth Orton, Julie Mytton, Nicola Christie

Abstract read
In one paragraph

Article in BMJ open, 2026. 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

10 authors.

Sarah E O'TooleCentre for Transport Studies, Department of Civil, Environmental and Geomatic Engineering, University College London, London, UK s.otoole@ucl.ac.uk.ORCID http://orcid.org/0000-0002-2129-7929
Emma L BirdCentre for Public Health and Wellbeing, University of the West of England School of Health and Social Wellbeing, Bristol, UK.
Erdem DikiciCentre for Public Health and Wellbeing, University of the West of England School of Health and Social Wellbeing, Bristol, UK.
Pallavi GovindUnit of Lifespan and Population Health, University of Nottingham School of Medicine, Nottingham, UK.
Sylvia StoianovaNational Child Mortality Database, University of Bristol Medical School, Bristol, UK.
David OddDivision of Population Medicine, Cardiff University School of Medicine, Cardiff, UK.
Karen LuytNational Child Mortality Database, University of Bristol Medical School, Bristol, UK.ORCID http://orcid.org/0000-0002-9806-1092
Elizabeth OrtonUnit of Lifespan and Population Health, University of Nottingham School of Medicine, Nottingham, UK.
Julie MyttonCentre for Public Health and Wellbeing, University of the West of England School of Health and Social Wellbeing, Bristol, UK.ORCID http://orcid.org/0000-0002-0306-4750
Nicola ChristieCentre for Transport Studies, Department of Civil, Environmental and Geomatic Engineering, University College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn Great Britain, an estimated 4% of road deaths occur among children under 16 years-old. Previous research has often focused on individual-level risk factors, with less attention to the broader social, environmental and system-level determinants shaping child road safety. Emerging systematic reviews highlight the need for integrated approaches that consider inequalities, built environment characteristics and transport systems in understanding child injury risk. The establishment of the National Child Mortality Database (NCMD) in 2019 provides a unique opportunity to comprehensively analyse child road fatalities in England. This study adopts a systems-based approach, using Dahlgren and Whitehead's (1991) Social Determinants of Health model to explore the interplay of modifiable risk factors and inform evidence-based interventions. METHODS AND ANALYSIS: A sequential mixed-methods design will analyse all child road traffic fatalities (0-17 years) recorded in the NCMD between 2019 and 2024 (estimated n ≈ 262). Cases will be identified using NCMD cause of death classifications and child death review panel determinations.Quantitative analysis will describe patterns in child road deaths across individual, family, social and environmental factors, identifying variations by mode of transport, age, gender, deprivation and geographic region. A qualitative template analysis of child death review narratives will provide deeper insight into the systemic conditions contributing to child road deaths. Context-Mechanism-Outcome models will be developed to explore how different risk factors interact to increase vulnerability. Recommendations for policy and practice will be coproduced with stakeholders, including caregivers, using the study findings. ETHICS AND DISSEMINATION: Ethics approval has been obtained through the University College London, Civil, Environmental and Geomatic Engineering Local Ethics Board (28815/001). Findings will be disseminated through peer-reviewed publications, policy briefings, stakeholder workshops and practitioner guidance, with the aim of informing national road safety policy and cross-sector prevention strategies.

Indexed as

Accidents, TrafficChild MortalityAdolescentChildChild, PreschoolDatabases, FactualEnglandFemaleHumansInfantInfant, NewbornMaleResearch DesignRisk FactorsChildPUBLIC HEALTHYoung Adult

Identifiers

PMID42379720
PMCPMC13330880

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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.