Evidence map›Paper›PMID 42527838›Full record

ArticleJournal of general internal medicine2026

Beyond Words: A Call to Action for Language Inclusivity in Prospective Research.

Dorothy Sheu, Joseph Keawe'aimoku Kaholokula, Mireille Jacobson, Kimberly R Warren, Paul J Wang, Rachel Kohn

Abstract readEditorial
PubMed Publisher
In one paragraph

Article in Journal of general internal medicine, 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

6 authors.

Dorothy SheuBehavioral Economics to Transform Trial Enrollment Representativeness (BETTER) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Joseph Keawe'aimoku KaholokulaIntegrated Community Engaged, mHealth, and Data Science to Enhance Clinical Trial Diversity and Cardiometabolic Health (iDIVERSE), University of Hawai'i, Mānoa, HI, USA.
Mireille JacobsonAlzheimer's Trial Recruitment Innovation Lab (ATRIL), University of Southern California, Los Angeles, CA, USA.
Kimberly R WarrenImproving Participation Among Diverse Populations in Cardiovascular Clinical Trials (IMPACT), Morgan State University, Baltimore, MD, USA.
Paul J WangDiversity and Inclusion in Cardiovascular Trials Through Enrollment and Education Resulting in Sustainable Equity (DIVERSE), Stanford Medicine, Palo Alto, CA, USA.
Rachel KohnBehavioral Economics to Transform Trial Enrollment Representativeness (BETTER) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. rachel.kohn2@pennmedicine.upenn.edu.ORCID http://orcid.org/0000-0002-9373-5035

Funding

American Heart Association 946224
6 · The paper itself

Abstract

In the USA, individuals who prefer to speak, read, or write non-English languages at home, i.e., non-English language preference (NELP) individuals, have nearly tripled over four decades, yet < 3% of clinical trials offer translation, and ~ 19% require English proficiency. Exclusion of communities with NELP limits generalizability by reducing sample representativeness and missing language-related effect modifiers, decreases patient-centered care and outcomes, and deepens healthcare inequities and mistrust. NELP is associated with worse clinical outcomes independent of race and ethnicity, suggesting unique barriers impacting research validity and effectiveness. Identifying such barriers and interventions to participation in prospective research among communities with NELP is therefore critical. Barriers span the research lifecycle: from limited funding, translated study materials, and research team communication during the planning phase to under-reporting language in dissemination. Interventions also span the research lifecycle, empowering all key players, from study teams to policymakers, including institutions and funding agencies that support standardized education and infrastructure. This includes better capturing language preferences in electronic health records, mandating language reporting through study milestones and publication, and increasing funding mechanisms for language-inclusive research. Despite significant barriers, the scientific community has the responsibility and power to improve language inclusivity, representativeness, and generalizability of prospective research.

Identifiers

PMID42527838

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.