Evidence map›Paper›PMID 40755183›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2025

Public Involvement in Complex Theorising: A Co-Produced Logic Model of the Role of Context in Shaping Child Health.

Dylan Kneale, Alison O'Mara-Eves, Bridget Candy, Lizzie Cain, Jessica Catchpole, Angela Chesworth, Sandy Oliver, Katy Sutcliffe, Niccola Hutchinson Pascal, James Thomas

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Design and implementation ofFrontiers in psychology · 2026
    Review
  4. Review
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.

Dylan KnealeEPPI Centre, Social Research Institute, University College London, London, UK.ORCID 0000-0002-7016-978X
Alison O'Mara-EvesEPPI Centre, Social Research Institute, University College London, London, UK.ORCID 0000-0002-0359-6423
Bridget CandyMarie Curie Palliative Care Research Department, UCL Division of Psychiatry, University College London, London, UK.ORCID 0000-0001-9935-7840
Lizzie CainInnovation Unit, London, UK.
Jessica CatchpoleDepartment of Nursing, School of Health & Psychological Sciences, City St George's, University of London, London, UK.ORCID 0000-0001-7901-1797
Angela ChesworthIndependent Patient Advocate, UK.ORCID 0009-0003-2466-571X
Sandy OliverEPPI Centre, Social Research Institute, University College London, London, UK.ORCID 0000-0001-9571-269X
Katy SutcliffeEPPI Centre, Social Research Institute, University College London, London, UK.ORCID 0000-0002-5469-8649
Niccola Hutchinson PascalCo-production Collective, University College London, London, UK.
James ThomasEPPI Centre, Social Research Institute, University College London, London, UK.ORCID 0000-0003-4805-4190

Funding

The research was funded by the National Institute of Health Research under the Public Health Research stream (PHR Project: NIHR133736-Handling complexity in evidence from systematic reviews and meta-analyses of public health intervention).
6 · The paper itself

Abstract

introductionThere is increasing work towards drawing on theory, implementing co-production and accounting for complexity within the production of systematic reviews for public health. In this paper, we report on the process of co-producing a theory; in this case, a graphical articulation of theory in the form of a logic model, which describes how contextual factors influence children's health.

methodsWe undertook a series of three online co-production workshops, involving 18-20 participants in each, and worked with an advisory group of experts with professional and lived expertise. An online virtual whiteboard was used to support the identification of factors that contributed to poorer childhood health, explanations for these factors, and connections between different factors.

resultsDriven by government strategy, we initially focussed our work on childhood obesity. However, co-production was transformational in switching the focus of the logic model away from a narrow focus on Body Mass Index as a measure of obesity, to a more holistic theory of factors that shape children's health, recognised as the intersection between healthy eating, physical activity and mental well-being. Theorising with a diverse range of co-producers helped us to recognise the stigmatising impacts that an exclusive focus on clinical measures of children's health can have, and the way that a narrow clinical focus inhibits theorising the complexity and drivers of poorer health.

conclusionCo-production led to a switch in theorising away from narratives of children's health that focus closely on personal responsibility, towards narratives that explore structural and contextual drivers of health. PATIENT OR PUBLIC CONTRIBUTION: The logic model was entirely driven by the contributions of researchers, those with lived experience (e.g., as parents and/or who have experienced poor health), and those with professional experience (e.g., as teachers) who worked together to co-produce the model. An advisory group composed of people with a similar range of expertise helped to shape the conduct of co-production and dissemination (including in the preparation of this manuscript).

Indexed as

Child HealthPediatric ObesityCommunity ParticipationEvidence-Based MedicineHumansLogicResearchchildren's healthcomplex systemsco‐productionlogic modelweight management

Identifiers

PMID40755183
PMCPMC12319229

What OpenQuestion holds

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LicenceCC BY
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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.