Evidence map›Paper›PMID 42569018›Full record

ArticleBMJ public health2026

Pre-pregnancy primary care and accident and emergency interactions among interpreter-users versus non-interpreter-users in England: a retrospective cohort study.

Majel McGranahan, Nuria Sanchez Clemente, Lars Murdock, Baboucarr Njie, Yamina Boukari, Zach Welshman, Alexia Sampri, Oyinlola Oyebode, Felicity Boardman, Robert Aldridge and 2 more

Abstract read
In one paragraph

Article in BMJ public health, 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

The trial behind it

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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

12 authors.

Majel McGranahanUniversity of Warwick Medical School, Coventry, UK.ORCID https://orcid.org/0000-0002-5892-0729
Nuria Sanchez ClementeLondon School of Hygiene & Tropical Medicine, London, UK.
Lars MurdockBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.ORCID https://orcid.org/0000-0002-5479-813X
Baboucarr NjieUniversity College London, London, UK.ORCID https://orcid.org/0009-0003-3929-3269
Yamina BoukariBennett Institute of Applied Data Science, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-9171-6922
Zach WelshmanBritish Heart Foundation Data Science Centre, Health Data Research UK, London, UK.ORCID https://orcid.org/0000-0002-2946-8788
Alexia SampriBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.
Oyinlola OyebodeWolfson Institute of Population Health, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK.
Felicity BoardmanUniversity of Warwick Medical School, Coventry, UK.
Robert AldridgeInstitute for Health Metrics and Evaluation, University of Washington, Seattle, Washington, USA.ORCID https://orcid.org/0000-0003-0542-0816
Neha PathakUniversity College London, London, UK.ORCID https://orcid.org/0000-0002-1077-5358
CVD-COVIDUK/COVID-IMPACT Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Non-English-speaking migrant women who need interpreters face healthcare barriers, exacerbating maternal health inequalities. Primary care-based preconception interventions can reduce preconception risk factors but require patient engagement, which has been affected by COVID-19. We aimed to identify whether women interact with general practice (GP) and accident and emergency (A&E) in the year pre-pregnancy, differences between interpreter-users and non-interpreter-users, and changes during COVID-19. Methods: English population-wide linked patient-level administrative data including primary, secondary and maternity care were used. Women with estimated pregnancy start dates from 1 March 2019 to 29 February 2024, aged 18-49 were included.Outcomes were interactions with GP and A&E in the year pre-pregnancy (yes/no) according to interpreter-use. Outcomes were recorded according to pregnancy start date: 1 March 2019 to 29 February 2020 (pre-pregnancy-year pre-COVID-19-onset), 1 March 2020 to 28 February 2021 (pre-pregnancy-year overlapping with COVID-19-onset) or 1 March 2020 to 29 February 2024 (pre-pregnancy-year after COVID-19-onset). Logistic regression compared GP/A&E interaction pre-pregnancy among interpreter-users versus non-interpreter-users. Results: Among 2 182 280 women, 61 140 (2.8%) used interpreters. Median age was 31.0 among interpreter-users and 30.9 among non-interpreter-users. 49.7% (n=30 370) of interpreter-users were in the most deprived quintile versus 22.7% (n=480 470) of non-interpreter-users, and 62.5% (n=38 150) were of ethnic minorities (excluding white minorities) versus 22.1% (n=468 530) of non-interpreter-users.79.5% (n=48 625) of interpreter-users interacted with their GP pre-pregnancy, versus 85.0% (n=1 802 925) of non-interpreter-users. Interpreter-use was associated with lower adjusted odds of GP interaction (aOR 0.74 (95% CI 0.72 to 0.75)), with lower odds among women whose pre-pregnancy year was post-COVID-onset.Adjusted odds of A&E interaction in the year pre-pregnancy were lower among interpreter-users, with minimal change during COVID-19. Conclusions: Although interpreter-users were less likely to interact with GP, indicating barriers to healthcare access, most still did, making GP a promising avenue for addressing preconception health. Ensuring interpreter-need is recorded at GP registration is important. Widening inequalities since COVID-19 suggest a proactive approach is required to reduce inequalities.

Indexed as

Epidemiologic FactorsFemaleHealth Services AccessibilityPublic Health

Identifiers

PMID42569018
PMCPMC13448527

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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.