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

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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41597-024-02958-1

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Botnar Research Centre
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
NDORMS
Sub department:
Centre for Statistics in Medicine
Role:
Author
ORCID:
0000-0003-0388-3403

Contributors


Publisher:
Springer Nature
Journal:
Scientific Data More from this journal
Volume:
11
Issue:
1
Article number:
221
Publication date:
2024-02-22
Acceptance date:
2024-01-12
DOI:
EISSN:
2052-4463


Language:
English
Keywords:
Pubs id:
1598606
Local pid:
pubs:1598606
Deposit date:
2024-01-12

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