Evidence map›Paper›PMID 38388690›Full record

ArticleScientific data2024

Ethnicity data resource in population-wide health records: completeness, coverage and granularity of diversity.

Marta Pineda-Moncusí, Freya Allery, Antonella Delmestri, Thomas Bolton, John Nolan, Johan H Thygesen, Alex Handy, Amitava Banerjee, Spiros Denaxas, Christopher Tomlinson and 11 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  13. Tailoring cardiovascular risk prediction to females.The Journal of endocrinology · 2025
    Review
  14. Article
  15. 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

21 authors.

Marta Pineda-MoncusíCentre for Statistics in Medicine, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.ORCID 0000-0003-0567-0137
Freya AlleryInstitute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK.
Antonella DelmestriCentre for Statistics in Medicine, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.ORCID 0000-0003-0388-3403
Thomas BoltonBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.
John NolanBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.
Johan H ThygesenInstitute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK.ORCID 0000-0002-7479-3459
Alex HandyInstitute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK.
Amitava BanerjeeInstitute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK.
Spiros DenaxasInstitute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK.
Christopher TomlinsonInstitute of Health Informatics, 222 Euston Road, London, NW1 2DA, University College London, London, UK.ORCID 0000-0002-0903-5395
Alastair K DennistonUniversity Hospitals Birmingham NHS Foundation Trust (NHSFT), Birmingham, UK.
Cathie SudlowBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.
Ashley AkbariPopulation Data Science, Swansea University Medical School, Faculty of Medicine, Health & Life Science, Swansea University, Swansea, Wales, UK.ORCID 0000-0003-0814-0801
Angela WoodBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.
Gary S CollinsCentre for Statistics in Medicine, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.ORCID 0000-0002-2772-2316
Irene PetersenDepartment of Primary Care and Population Health, UCL, London, NW3 2PF, UK.
Laura C CoatesNuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, Leicester, UK.
Daniel Prieto-sAlhambraCentre for Statistics in Medicine, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK.
Sara KhalidCentre for Statistics in Medicine, Botnar Research Centre, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences (NDORMS), University of Oxford, Oxford, UK. sara.khalid@ndorms.ox.ac.uk.
CVD-COVID-UK/COVID-IMPACT Consortium

Funding

Medical Research Council MC_PC_20058Medical Research Council MR/V028367/1
6 · The paper itself

Abstract

Intersectional social determinants including ethnicity are vital in health research. We curated a population-wide data resource of self-identified ethnicity data from over 60 million individuals in England primary care, linking it to hospital records. We assessed ethnicity data in terms of completeness, consistency, and granularity and found one in ten individuals do not have ethnicity information recorded in primary care. By linking to hospital records, ethnicity data were completed for 94% of individuals. By reconciling SNOMED-CT concepts and census-level categories into a consistent hierarchy, we organised more than 250 ethnicity sub-groups including and beyond "White", "Black", "Asian", "Mixed" and "Other, and found them to be distributed in proportions similar to the general population. This large observational dataset presents an algorithmic hierarchy to represent self-identified ethnicity data collected across heterogeneous healthcare settings. Accurate and easily accessible ethnicity data can lead to a better understanding of population diversity, which is important to address disparities and influence policy recommendations that can translate into better, fairer health for all.

Indexed as

EthnicityPopulation HealthEnglandHumans

Identifiers

PMID38388690
PMCPMC10883937

What OpenQuestion holds

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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.