Evidence map›Paper›PMID 40411732›Full record

ArticleJournal of immigrant and minority health2025

Characterizing Identifiers for Immigrant Populations in Electronic Health Records.

Preethi Ravi, Margaret Smith, Sabrina Bogović, Camille Lin, Anna Yaffee, Matthew Dudgeon, Amy Zeidan

Abstract read
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In one paragraph

Article in Journal of immigrant and minority health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Preethi RaviEmory University School of Medicine, Atlanta, USA. preethi.ravi@emory.edu.
Margaret SmithDepartment of Internal Medicine, University of California, San Diego, USA.
Sabrina BogovićEmory University Rollins School of Public Health, Atlanta, USA.
Camille LinDepartment of Family Medicine, Prisma Health Tuomey Hospital, Sumter, USA.
Anna YaffeeDepartment of Emergency Medicine, Emory University School of Medicine, Atlanta, USA.
Matthew DudgeonDepartment of Medicine, Emory University School of Medicine, Atlanta, USA.
Amy ZeidanDepartment of Emergency Medicine, Emory University School of Medicine, Atlanta, USA. amy.josephine.zeidan@emory.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current use of identifiers to describe immigrant patients in Electronic Health Records (EHRs) is poorly described and lacks standardization, but nevertheless has broad implications related to clinical care and research of this population. We conducted interviews with stakeholders to discern strong identifiers for use to identify patients who have immigrated to the United States (U.S.). Language, country of origin, time in the U.S., and race/ethnicity were identified as effective, ethical, and acceptable for use. Limitations of each of these identifiers were noted, highlighting the need to use multiple identifiers in combination when describing patients in EHRs. The processes used to collect these identifiers in clinical settings and the ethical implications of using these identifiers must also be carefully considered. Our results highlight the need for standards related to documentation of immigrant patients in EHRs. Further research is also needed to validate the identifiers we have outlined, discern additional identifiers that are useful and acceptable in specific clinical and research contexts, and explore how strong identifiers can be operationalized in EHRs for clinical, research, and community engagement purposes.

Indexed as

Electronic Health RecordsEmigrants and ImmigrantsEthnicityHumansInterviews as TopicLanguageUnited StatesElectronic Health RecordsHealth EquityImmigrant HealthNewcomersPatient IdentifiersPopulation HealthRefugee Health

Identifiers

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.