Evidence map›Paper›PMID 34948912›Full record

ArticleInternational journal of environmental research and public health2021

Development and Validation of a Primary Care Electronic Health Record Phenotype to Study Migration and Health in the UK.

Neha Pathak, Claire X Zhang, Yamina Boukari, Rachel Burns, Rohini Mathur, Arturo Gonzalez-Izquierdo, Spiros Denaxas, Pam Sonnenberg, Andrew Hayward, Robert W Aldridge

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Mothers Seeking Sanctuary in Wales: a Cohort Profile.International journal of population data science · 2026
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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

10 authors.

Neha PathakInstitute of Health Informatics, University College London, 222 Euston Rd., London NW1 2DA, UK.
Claire X ZhangInstitute of Health Informatics, University College London, 222 Euston Rd., London NW1 2DA, UK.
Yamina BoukariInstitute of Health Informatics, University College London, 222 Euston Rd., London NW1 2DA, UK.
Rachel BurnsInstitute of Health Informatics, University College London, 222 Euston Rd., London NW1 2DA, UK.
Rohini MathurDepartment of Non-Communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, Keppel Street, London WC1E 7HT, UK.
Arturo Gonzalez-IzquierdoInstitute of Health Informatics, University College London, 222 Euston Rd., London NW1 2DA, UK.
Spiros DenaxasInstitute of Health Informatics, University College London, 222 Euston Rd., London NW1 2DA, UK.ORCID 0000-0001-9612-7791
Pam SonnenbergInstitute for Global Health, University College London, 30 Guilford Street, London WC1N 1EH, UK.
Andrew HaywardInstitute of Epidemiology & Health Care, University College London, 1-19 Torrington Place, London WC1E 7HB, UK.
Robert W AldridgeInstitute of Health Informatics, University College London, 222 Euston Rd., London NW1 2DA, UK.ORCID 0000-0003-0542-0816

Funding

Medical Research Council MR/K006584/1Wellcome Trust 201375/Z/16/ZWellcome Trust 206602Wellcome Trust 206602/Z/17/ZWellcome Trust 211162
6 · The paper itself

Abstract

International migrants comprised 14% of the UK's population in 2020; however, their health is rarely studied at a population level using primary care electronic health records due to difficulties in their identification. We developed a migration phenotype using country of birth, visa status, non-English main/first language and non-UK-origin codes and applied it to the Clinical Practice Research Datalink (CPRD) GOLD database of 16,071,111 primary care patients between 1997 and 2018. We compared the completeness and representativeness of the identified migrant population to Office for National Statistics (ONS) country-of-birth and 2011 census data by year, age, sex, geographic region of birth and ethnicity. Between 1997 to 2018, 403,768 migrants (2.51% of the CPRD GOLD population) were identified: 178,749 (1.11%) had foreign-country-of-birth or visa -status codes, 216,731 (1.35%) non-English-main/first-language codes, and 8288 (0.05%) non-UK-origin codes. The cohort was similarly distributed versus ONS data by sex and region of birth. Migration recording improved over time and younger migrants were better represented than those aged ≥50. The validated phenotype identified a large migrant cohort for use in migration health research in CPRD GOLD to inform healthcare policy and practice. The under-recording of migration status in earlier years and older ages necessitates cautious interpretation of future studies in these groups.

Indexed as

Data ManagementElectronic Health RecordsAgedHumansMiddle AgedPhenotypePrimary Health CareUnited Kingdomalgorithmclinical practice research datalinkmigrationphenotypeprimary carevalidation

Identifiers

PMID34948912
PMCPMC8707886

What OpenQuestion holds

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Registered trials

None linked

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.