Evidence map›Paper›PMID 36466951›Full record

ArticleWellcome open research2022

Connected Bradford:  a Whole System Data Linkage Accelerator.

Kuldeep Sohal, Dan Mason, John Birkinshaw, Jane West, Rosemary R C McEachan, Mai Elshehaly, Duncan Cooper, Rob Shore, Michael McCooe, Tom Lawton and 5 more

Abstract read
In one paragraph

Article in Wellcome open research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

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  12. Complex mental health difficulties: a mixed-methods study in primary care.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
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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

15 authors.

Kuldeep SohalBradford Institute for Health Research, Bradford Hospitals National Health Service Trust, Bradford, BD9 6RJ, UK.
Dan MasonBradford Institute for Health Research, Bradford Hospitals National Health Service Trust, Bradford, BD9 6RJ, UK.ORCID https://orcid.org/0000-0002-0026-9216
John BirkinshawBradford Institute for Health Research, Bradford Hospitals National Health Service Trust, Bradford, BD9 6RJ, UK.
Jane WestBradford Institute for Health Research, Bradford Hospitals National Health Service Trust, Bradford, BD9 6RJ, UK.ORCID https://orcid.org/0000-0002-5770-8363
Rosemary R C McEachanBradford Institute for Health Research, Bradford Hospitals National Health Service Trust, Bradford, BD9 6RJ, UK.ORCID https://orcid.org/0000-0003-1302-6675
Mai ElshehalyDepartment of Computer Science, University of Bradford, Bradford, BD7 1DP, UK.ORCID https://orcid.org/0000-0002-5867-6121
Duncan CooperPublic Health, Bradford Metropolitan District Council, Bradford, BD1 1HX, UK.
Rob ShorePublic Health, Bradford Metropolitan District Council, Bradford, BD1 1HX, UK.ORCID https://orcid.org/0000-0001-8252-4630
Michael McCooeBradford Institute for Health Research, Bradford Hospitals National Health Service Trust, Bradford, BD9 6RJ, UK.
Tom LawtonBradford Institute for Health Research, Bradford Hospitals National Health Service Trust, Bradford, BD9 6RJ, UK.ORCID https://orcid.org/0000-0003-1351-8127
Mark Mon-WilliamsSchool of Psychology, University of Leeds, Leeds, LS2 9JT, UK.ORCID https://orcid.org/0000-0001-7595-8545
Trevor SheldonInstitute of Population Health Sciences, Queen Mary University of London, London, E1 4NS, UK.ORCID https://orcid.org/0000-0002-7479-5913
Chris BatesThe Phoenix Partnership, Leeds, LS18 5PX, UK.
Megan WoodBradford Institute for Health Research, Bradford Hospitals National Health Service Trust, Bradford, BD9 6RJ, UK.
John WrightBradford Institute for Health Research, Bradford Hospitals National Health Service Trust, Bradford, BD9 6RJ, UK.ORCID https://orcid.org/0000-0001-9572-7293

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The richness of linked population data provides exciting opportunities to understand local health needs, identify and predict those in most need of support and evaluate health interventions. There has been extensive investment to unlock the potential of clinical data for health research in the UK. However, most of the determinants of our health are social, economic, education, environmental, housing, food systems and are influenced by local authorities. The Connected Bradford Whole System Data Linkage Accelerator was set up to link health, education, social care, environmental and other local government data to drive learning health systems, prevention and population health management. Data spanning a period of over forty years has been linked for 800,000 individuals using the pseudonymised NHS number and other data variables. This prospective data collection captures near real time activity. This paper describes the dataset and our Connected Bradford Whole System Data Accelerator Framework that covers public engagement; practitioner and policy integration; legal and ethical approvals; information governance; technicalities of data linkage; data curation and guardianship; data validity and visualisation.

Indexed as

Routine population data; Local Government; population health; prevention

Identifiers

PMID36466951
PMCPMC9682213

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.