Evidence map›Paper›PMID 42406203›Full record

ArticleJournal of immigrant and minority health2026

Counting Demographics: Patient Trust in the Era of Deportation.

Margot Mai, Rose L Molina

Abstract readLetter
PubMed Publisher
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. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Margot MaiHarvard Medical School, Boston, USA. margot_mai@hms.harvard.edu.ORCID 0000-0001-5718-8778
Rose L MolinaHarvard Medical School, Boston, USA.

Funding

Medical Scientist Training ProgramT32GM144273 · NIGMS · HARVARD MEDICAL SCHOOL · PI David Shumway Jones, Jacqueline A. Lees · 2022 to 2026
$14.7M
NIGMS NIH HHS T32 GM144273
6 · The paper itself

Abstract

With the entry of U.S. immigration enforcement into health facilities and health records since January 2025, timely questions have arisen over data justice and patient trust in health care. Although guidelines for the collection and analysis of demographic data promote statistical nuance and data disaggregation, not all patients will want to provide details about their personal information and may interpret these questions as especially intrusive or risky in the current sociopolitical context. Reckoning with the motives that cause patients to mask potentially sensitive information is a necessary path forward for health systems and an actionable way for health care spaces to become as welcoming and inclusive of immigrants as possible. Health care leaders and the systems they represent can proactively approach patient nondisclosure with care by providing abundantly transparent communication over the use of personal information, avoiding documentation of certain questions-like immigration status-altogether, and affirming nonresponse as a valid and welcome response.

Indexed as

DemographyEmigrants and ImmigrantsTrustUndocumented ImmigrantsFemaleHumansUnited StatesDemographicsDeportationImmigrant healthPatient trustStatistics and research methods

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.