Evidence map›Paper›PMID 40991205›Full record

ArticleJournal of immigrant and minority health2026

Patient Perspectives on Identifiers for Immigrant Patients in Electronic Health Records.

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

Abstract read
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In one paragraph

Article in Journal of immigrant and minority health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Preethi RaviDepartment of Medicine, University of Washington School of Medicine, Seattle, WA, United States.
Margaret SmithDepartment of Internal Medicine, University of California, San Diego, San Diego, United States.
Sabrina BogovićEmory University, Rollins School of Public Health, Atlanta, United States.
Camille LinDepartment of Family Medicine, Prisma Health Tuomey Hospital, Sumter, United States.
H Claire EdelsonDepartment of Emergency Medicine, University of California, Los Angeles, Los Angeles, United States.
Anna YaffeeDepartment of Emergency Medicine, Emory University, School of Medicine, Atlanta, United States.
Matthew DudgeonDepartment of Medicine, Emory University, School of Medicine, Atlanta, United States.
Amy ZeidanDepartment of Emergency Medicine, Emory University, School of Medicine, Atlanta, United States. amy.josephine.zeidan@emory.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying immigrant patients within Electronic Health Record (EHR) systems has significant equity-related implications in care and research of immigrant populations in the United States (U.S.). This study builds upon previous work that utilized interviews with key stakeholders to determine effective, acceptable, and ethical identifiers for immigrant patients in EHRs; language, country of origin, time in the U.S., and race/ethnicity were determined suitable for use. Building upon these conclusions, we conducted interviews with non-English language preference (NELP) immigrant patients in the Emergency Department setting to glean their perspectives on the use of identifiers for immigrant patients in EHRs. Individuals endorsed language and country of origin as useful identifiers, but also expressed a general lack of understanding regarding what is documented in the EHR and why, along with significant concerns about potential implications related to the documentation of sensitive information. Given the rapidly shifting anti-immigrant policy landscape in the U.S., we maintain that providers seeking to utilize these identifiers to advance equity-centered clinical care and research must also exercise caution and consider all potential uses of these identifiers.

Indexed as

Electronic Health RecordsEmigrants and ImmigrantsAdultCommunication BarriersEmergency Service, HospitalFemaleHumansInterviews as TopicLanguageMaleMiddle AgedUnited StatesElectronic health recordsHealth equityImmigrant healthNewcomersPatient identifiersPopulation healthRefugee health

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

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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.