Evidence map›Paper›PMID 42312218›Full record

ArticleJournal of patient experience2026

Language Access in Healthcare: Aligning Policy and Evidence to Improve Patient Experience Through Professional Interpretation and Language- Concordant Care.

Gabriela Plasencia, Zachary Predmore, Danielle Schlang, Nabeel Qureshi, Denise D Quigley

Abstract read
In one paragraph

Article in Journal of patient experience, 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

5 authors.

Gabriela PlasenciaRAND, Arlington, VA.
Zachary PredmoreRAND, Boston, MA, US.ORCID https://orcid.org/0000-0001-5369-7428
Danielle SchlangRAND, Boston, MA, US.ORCID https://orcid.org/0009-0003-2082-8833
Nabeel QureshiRAND, Santa Monica, CA.
Denise D QuigleyRAND, Santa Monica, CA.ORCID https://orcid.org/0000-0002-3815-908X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Language access significantly affects patient-provider communication, patient safety, and healthcare outcomes. Eliminating language barriers improves care quality. As a result, the use of professional interpreters or language concordant care is recommended. Yet, persistent barriers remain. We conducted a policy-oriented narrative review of peer-reviewed studies, federal regulations and professional guidelines published between 2004 and 2025 on language access, interpreter services, and U.S. Health System reform. We found there is a solid foundation in place to support several needed steps to strengthen language supports for non-English-preferring patients in the United States. We recommend practical, evidence-based strategies for healthcare organizations, state and federal polices, and joint multi-stakeholder initiatives. To drive meaningful change, both federal and state initiatives that financially incentivize improved language supports are needed, alongside enhanced regulatory and enforcement mechanisms to penalize underperforming providers. Healthcare systems must prioritize professional interpretation, develop systematic methods to assess and utilize the language skills of bilingual providers, and ensure consistent availability of professional high-quality language services. Integrating language access and supports into technology standards is also crucial for effectively mitigating language barriers. Substantial changes are necessary to enhance healthcare experiences and outcomes for patients who communicate in languages other than English.

Indexed as

interpreter uselanguage concordancepolicyprimary careQuality of care

Identifiers

PMID42312218
PMCPMC13269982

What OpenQuestion holds

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LicenceCC BY-NC
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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.