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

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dc.contributor.authorPineda-Moncusí, Marta
dc.contributor.authorAllery, Freya
dc.contributor.authorDelmestri, Antonella
dc.contributor.authorBolton, Thomas
dc.contributor.authorNolan, John
dc.contributor.authorThygesen, Johan H
dc.contributor.authorHandy, Alex
dc.contributor.authorBanerjee, Amitava
dc.contributor.authorDenaxas, Spiros
dc.contributor.authorTomlinson, Christopher
dc.contributor.authorDenniston, Alastair K
dc.contributor.authorSudlow, Cathie
dc.contributor.authorAkbari, Ashley
dc.contributor.authorWood, Angela
dc.contributor.authorCollins, Gary S
dc.contributor.authorPetersen, Irene
dc.contributor.authorCoates, Laura C
dc.contributor.authorKhunti, Kamlesh
dc.contributor.authorPrieto-sAlhambra, Daniel
dc.contributor.authorKhalid, Sara
dc.contributor.departmentOphthalmologyen_US
dc.contributor.roleMedical and Dentalen_US
dc.contributor.trustauthorDenniston, Alastair K
dc.date.accessioned2024-03-27T16:01:16Z
dc.date.available2024-03-27T16:01:16Z
dc.date.issued2024-02-22
dc.description.abstractIntersectional 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.en_US
dc.identifier.citationPineda-Moncusí M, Allery F, Delmestri A, Bolton T, Nolan J, Thygesen JH, Handy A, Banerjee A, Denaxas S, Tomlinson C, Denniston AK, Sudlow C, Akbari A, Wood A, Collins GS, Petersen I, Coates LC, Khunti K, Prieto-sAlhambra D, Khalid S; CVD-COVID-UK/COVID-IMPACT Consortium. Ethnicity data resource in population-wide health records: completeness, coverage and granularity of diversity. Sci Data. 2024 Feb 22;11(1):221. doi: 10.1038/s41597-024-02958-1.en_US
dc.identifier.doi10.1038/s41597-024-02958-1
dc.identifier.eissn2052-4463
dc.identifier.pmid38388690
dc.identifier.urihttp://hdl.handle.net/20.500.14200/4022
dc.language.isoenen_US
dc.publisherNature Publishing Groupen_US
dc.relation.urlhttps://www.nature.com/sdata/en_US
dc.rights© 2024. The Author(s).
dc.source.beginpage221
dc.source.countryUnited Kingdom
dc.source.countryEngland
dc.source.endpage
dc.source.issue1
dc.source.journaltitleScientific Data
dc.source.volume11
dc.subjectHealth services. Managementen_US
dc.titleEthnicity data resource in population-wide health records: completeness, coverage and granularity of diversity.en_US
dc.typeArticle
dspace.entity.typePublication
oa.grant.openaccessnaen_US
rioxxterms.versionNAen_US
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