Evidence map›Paper›PMID 40167024›Full record

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

A City "Collabatory": Researchers, Commissioners and Community Members Planning Interventions Together.

Neil Small, Rachael H Moss, Josie Dickerson, Shahid Islam

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. 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

4 authors.

Neil SmallFaculty of Health Studies, University of Bradford, Bradford, UK.
Rachael H MossBradford Institute for Health Research, Bradford, UK.
Josie DickersonBradford Institute for Health Research, Bradford, UK.
Shahid IslamFaculty of Health Studies, University of Bradford, Bradford, UK.

Funding

The study was supported by the National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care Yorkshire and Humber (NIHR200166) and National Lottery Community Fund (10094849).
6 · The paper itself

Abstract

Improving children's health and development in their early years is important, urgent and, cost-effective. But it's difficult to do. Using an example from Bradford in the UK we argue that integration, innovation and community engagement are key. Long-term funding also helps. Problems with multiple causes need "whole system" responses. This includes integration of research, commissioning and service delivery. We test innovations, learn about how they are received, modify them and test again. A dynamic research programme starts with innovations that are "science-based"-things the literature suggests might work-and then evaluates them. Science-based approaches may translate into being "evidence-based". If a community is not ready for an intervention what needs to be put in place to enhance that readiness? We use two examples of using the Community Readiness Model. For obesity interventions in Roma children the model underlines the need to build trust. For interventions targeting social and emotional health, service planners need to explain what they are seeking to do and why it might be valuable. If the community is on-board, the professionals work together and there is security in broad-based long-term funding our "collabatory" approach just might change bringing up children in this city.

Indexed as

Community ParticipationCooperative BehaviorResearch PersonnelChildHumansUnited KingdomBradfordcommissionerscommunity readiness modelinequalitiesinterventions

Identifiers

PMID40167024
PMCPMC11959408

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.