Evidence map›Paper›PMID 41100083›Full record

ArticleJAMA network open2025

Language Barriers and Access to Hospital Patient Portals in the US.

Debbie W Chen, Maya Watanabe, Steven Xie, Hattie H Huston-Paterson, Mousumi Banerjee, Megan R Haymart

Abstract read
In one paragraph

Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

6 authors.

Debbie W ChenDivision of Metabolism, Endocrinology & Diabetes, University of Michigan, Ann Arbor.
Maya WatanabeCenter for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Steven XieDepartment of Surgery, University of Michigan, Ann Arbor.
Hattie H Huston-PatersonDepartment of Surgery, David Geffen School of Medicine, University of California, Los Angeles.
Mousumi BanerjeeDepartment of Biostatistics, University of Michigan, Ann Arbor.
Megan R HaymartDivision of Metabolism, Endocrinology & Diabetes, University of Michigan, Ann Arbor.

Funding

Optimization of Thyroid Nodule Care Delivery to Reduce the Burden of Thyroid CancerK08CA273047 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Debbie Wan Hua Chen · 2023 to 2026
$730k
NCI NIH HHS K08 CA273047
6 · The paper itself

Abstract

Importance: Although patient portals are becoming important tools in health care delivery, there is a lack of published data on the language accessibility of these digital platforms. Objective: To examine the language accessibility of hospitals' patient portals. Design, Setting, and Participants: This cross-sectional study identified 51 counties in the 17 US states (5 western states, 2 midwestern, 4 northeastern, and 6 southern) with at least 300 000 residents with limited English proficiency. From eligible hospitals with public-facing patient portal platforms, the following data were obtained between September and December 2024: the URL (uniform resource locator) and language accessibility of the patient portal (ie, of the login prompts), portal vendor, and whether the availability of secure portal messaging was explicitly described. Main Outcomes and Measures: The primary outcome was language accessibility of the portal login page (binary variable: only English vs in at least 2 languages). Multivariable logistic regression analysis was performed to determine factors associated with accessibility of the portal login page in at least 2 languages. Results: Among 514 eligible hospitals (194 [38.0%] in West census region), 511 (99.4%) had public-facing patient portal platforms and were thus included in the analytic cohort; 429 (84.0%) were nonteaching hospitals. Patient portals were accessible in only English at 150 hospitals (29.4%); in English and Spanish only at 305 hospitals (59.7%); and in English, Spanish, and at least 1 additional language at 56 hospitals (10.9%). Only 24 of the 511 hospitals (4.7%) offered portal access in the most common non-English, non-Spanish language of their respective counties. In multivariable logistic regression analysis, teaching hospitals had higher odds of offering portals with multilingual accessibility (odds ratio [OR], 2.21; 95% CI, 1.66-2.95) compared with nonteaching hospitals, while hospitals that used vendors other than Epic MyChart or Cerner had lower odds (OR 0.34; 95% CI, 0.24-0.48 vs Epic). Conclusions and Relevance: In this cross-sectional study of hospitals in 17 states, only a small proportion offered patient portals that were accessible in a non-English, non-Spanish language. As digital health care continues to evolve, prioritizing language accessibility in its design is essential to ensure inclusivity for all patients.

Indexed as

Communication BarriersHospitalsLanguageLimited English ProficiencyPatient PortalsCross-Sectional StudiesFemaleHumansMaleUnited States

Identifiers

PMID41100083
PMCPMC12531879

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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.