Evidence map›Paper›PMID 41660596›Full record

ArticleInternational journal of population data science2026

Identifying local priorities for research with linked routine data: an online workshop method.

Hollie Henderson, Sally Bridges, Maria Bryant, Kayley Ciesla, Kate Pickett

Abstract read
In one paragraph

Article in International journal of population data science, 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

5 authors.

Hollie HendersonDepartment of Health Sciences, Seebohm Rowntree Building, University of York, Heslington, York, North Yorkshire, YO10 5DD, United Kingdom.
Sally BridgesBorn in Bradford, Bradford Institute For Health Research, Bradford Royal Infirmary, Duckworth Lane, Bradford, West Yorkshire, BD9 6RJ, United Kingdom.
Maria BryantDepartment of Health Sciences, Seebohm Rowntree Building, University of York, Heslington, York, North Yorkshire, YO10 5DD, United Kingdom.
Kayley CieslaBorn in Bradford, Bradford Institute For Health Research, Bradford Royal Infirmary, Duckworth Lane, Bradford, West Yorkshire, BD9 6RJ, United Kingdom.
Kate PickettDepartment of Health Sciences, Seebohm Rowntree Building, University of York, Heslington, York, North Yorkshire, YO10 5DD, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Priority setting with patients, public and professionals is essential for research utilising routinely collected data, as this ensures data are being used in the public interest. However, it is challenging to identify research priorities that are relevant to a wide range of local stakeholders and can be addressed with routinely collected data. Objectives: To describe and present the results of a priority setting exercise aiming to identify research priorities for Born in Bradford for All (BiB4All), a routine data linkage cohort of mothers and babies born in Bradford, a city in the north of England. Methods: We developed a two-hour online workshop to engage a range of stakeholders across Bradford, including parents, early years practitioners, commissioners, and service providers. The workshop method combined elements of existing priority setting approaches to ensure priorities were identified in an inclusive, timely and deliberative way, and supported stakeholders to develop their understanding of using linked routine data for research. Results: The workshop identified seventeen important and urgent research priorities around child and maternal health for research with locally linked routine data. Key topic areas included maternal and infant mental health, the long-term impact of the Covid-19 pandemic on maternal and child health outcomes, inequalities in access to services, and infant feeding experiences. Conclusions: The identified research priorities have been shared widely amongst interested networks and have shaped the BiB4All research agenda, demonstrating the feasibility of the stakeholder engagement method. They also have important implications for policy and practice. For policy, they provide an understanding of the key issues faced by local communities, which can steer policy priorities and investment in evidence generation. For practice, involvement in the workshop has generated a greater understanding of how local service data can be used for research and to inform improvements to service delivery.

Indexed as

Health PrioritiesResearchRoutinely Collected Health DataChild HealthCOVID-19EducationEnglandFemaleHumansInfantMaternal HealthBaBi NetworkBorn in Bradfordchild healthlinked datamaternal healthresearch prioritiesroutine datastakeholder involvement

Identifiers

PMID41660596
PMCPMC12880541

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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.