Exploring the coding of migration status in English primary care from 2011 to 2025 using OpenCodeCounts
Utilising OpenCodeCounts, we demonstrate the feasibility of using migration-related SNOMED CT codelists within primary care EHRs and highlight some of the potential biases that cohorts created based on these codelists may have to inform future research.
Authors
- Lucinda Hiam (ORCID: https://orcid.org/0000-0002-6394-0978)
- Inês Campos-Matos (ORCID: https://orcid.org/0000-0002-6480-4310)
- Yamina Boukari (ORCID: https://orcid.org/0000-0002-9171-6922)
- Arina Tamborska (ORCID: https://orcid.org/0000-0003-4661-8407)
- Peter Walsh
- Sally Hargreaves
- Neha Pathak
- Rachel Burns
- Ben Goldacre
- James Scuffell
- Milan Wiedemann
Institutions
- University of London (GB)
- Department of Health and Social Care (GB)
- King's College London (GB)
- University of Washington (US)
- Central and North West London NHS Foundation Trust (GB)
- Institute for Health Metrics and Evaluation (US)
- National Institute for Health and Care Research (GB)
- University of Oxford (GB)
- Jenner Institute (GB)
- Infectious Diseases Data Observatory (GB)
- University College London (GB)
- Seattle University (US)
Publication Details
- Journal
- BJGP Open
- Published
- 2026-02-26
- DOI
- https://doi.org/10.3399/bjgpo.2025.0138
- Primary Topic
- Migration, Health and Trauma
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Laura and John Arnold Foundation
- Wellcome Trust
- UK Research and Innovation
- National Institute for Health and Care Research
- British Lung Foundation
- Asthma and Lung UK
- Medical Research Council
- NIHR Oxford Biomedical Research Centre
- National Institute for Health and Care Research Applied Research Collaboration Oxford and Thames Valley