Evidence map›Paper›PMID 40930842›Full record

ArticleBJGP open2026

Older Chinese migrants' experiences of remote primary care in England: a semi-structured interview study.

Haoyue Guo, Rachael Frost, Greta Rait, Fiona Burns

Abstract read
In one paragraph

Article in BJGP open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

4 authors.

Haoyue GuoInstitute for Global Health, University College London, London, UK.ORCID https://orcid.org/0000-0001-5667-6331
Rachael FrostPublic Health Institute, Liverpool John Moores University, Liverpool, UK.
Greta RaitResearch Department of Primary Care and Population Health, University College London, London, UK.
Fiona BurnsInstitute for Global Health, University College London, London, UK f.burns@ucl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the past decade, remote (non-face-to-face) services - including interactions via the telephone and online platforms - have been increasingly used in primary care. These services bring potential benefits, as well as potential barriers, for patients. Older migrants are a population that could face intersectional barriers when accessing health care; it is important to understand the impact of remote services on them.

aimThis study explores older Chinese migrants' experiences of, and attitudes to, remote access to primary care services. DESIGN &

settingA qualitative semi-structured interview study.

methodRecruitment was carried out in 2023, through community organisations, social media, and snowballing. Participants were individuals aged ≥60 years, who self-identified ethnically as Chinese, and were UK residents; they were purposively sampled for maximum variation in sociodemographics and backgrounds. Data were collected through semi-structured interviews conducted in English and Mandarin. Interviews were recorded and transcribed verbatim; if consent to record the interview had not been given, field notes were taken. Transcripts and field notes were analysed using reflexive thematic analysis. Results were shared with participants for verification.

resultsNineteen participants were interviewed. Many technical and practical barriers were reported as existing for the participants when accessing primary care remotely. Due to the different levels of access to resources, these barriers affected the most disadvantaged people to the greatest degree. In addition, participants felt the need for in-person interactions to address some concerns and believed remote services should not replace in-person care.

conclusionOverall, older Chinese migrants felt few benefits from using remote primary care services. In the current digital context of the NHS, it is crucial to keep multimodal services available while rolling out new service modes, and to consider the needs of different populations to ensure equitable access.

Indexed as

ageddigital healthgeneral practicehealth services accessibilitymigrantsprimary health carequalitative research

Identifiers

PMID40930842
PMCPMC13540357

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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.