Evidence map›Paper›PMID 42616717›Full record

ArticlePloS one2026

Exploring health inequalities by language proficiency; A routine health records study set in England.

Sarah Yeoh, Mai Stafford

Abstract read
In one paragraph

Article in PloS one, 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.

Sarah YeohPublic Health, Brent Council, Brent Civic Centre, London, United Kingdom.
Mai StaffordPublic Health, Brent Council, Brent Civic Centre, London, United Kingdom.ORCID https://orcid.org/0000-0001-8411-1653

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWithin the UK, more than a million people cannot speak English well or at all. The lack of data on English proficiency means that the link between English proficiency and health status and care utilisation is not comprehensively quantified.

objectiveDescribe the association between English proficiency and patients' health status and healthcare utilisation, and demonstrate that GP data can be useful in understanding the health burdens of those with poor language proficiency.

methodsThe Northwest London (NWL) Discover-NOW database contains linked, deidentified records from General Practices (GPs), hospitals, and social care in NWL. Using this data, we examined health outcomes and healthcare utilisation of people in Brent who are not proficient in English.

resultsPrevalence of age-sex-adjusted cardiometabolic conditions was higher in groups that were not proficient in English or spoke a main language other than English. Primary and secondary healthcare utilisation was also higher in groups that were not proficient in English.

conclusionThis work is the first to quantify healthcare utilisation of those not proficient in English using a large, representative sample in a UK setting. It highlights poorer health outcomes in this group. There is a need to improve provision of language support, starting at registration, which would allow for this group to be better understood.

Indexed as

Health Status DisparitiesLanguageAdultAgedEnglandFemaleHumansMaleMiddle AgedPatient Acceptance of Health Care

Identifiers

PMID42616717
PMCPMC13489480

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.