Evidence map›Paper›PMID 41883481›Full record

ArticleInternational journal of population data science2026

Using data to improve the health of coastal communities: The Coda Network.

Martyn Patel, Elizabeth Ford, Emily Murray, Phil Ward

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

4 authors.

Martyn PatelNorfolk and Norwich University Hospital, Norwich, UK.
Elizabeth FordDepartment of Primary Care and Public Health, Brighton and Sussex Medical School, Brighton, UK.
Emily MurrayCentre for Coastal Communities, School of Health and Social Care, University of Essex, Colchester, UK.
Phil WardEastern Academic Research Consortium (EARC).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Since 2021, the discrepancy in healthy life expectancies between coastal and in-land towns in the United Kingdom has been highlighted, with several recommendations around using health data to identify and address potential health improvements. We describe both the processes and the lessons learned in building a new regional network with a critical mass of stakeholders to tackle a well-recognised infrastructural health problem, in a relatively under-resourced area. Methods: In 2022 the Coastal Data Network (Coda) was formed as part of the Eastern Academic Research Collaboration in the Eastern and Southeastern coastal regions of England, UK. A range of stakeholders from local authorities, national health service and universities have come together to share best practice and expertise to tackle coastal health inequalities using routinely collected health and administrative data. We have hosted a series of workshops and a conference as well as online meetings. Results: Two case studies are presented showing how Coda has responded to system needs or shared best practice in response to emergency situations. We are currently working to sustain the network beyond its initiation phase and to seek external funding for collaborative research activity in the region. Conclusion: The Coda Network has been established to enhance capacity for understanding and improving the health and lives of coastal populations. Key to retention and growth of the membership has been an early and vigorous commitment to sharing "best practice" examples. This network approach enlarges the pool of data available to Coda members allowing us to plan future population data science projects.

Indexed as

Health Status DisparitiesEnglandHumansCoastal HealthCollaborationHealth DataInequalitiesNetwork

Identifiers

PMID41883481
PMCPMC13010790

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LicenceCC BY-NC-ND
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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.