Evidence map›Paper›PMID 40905101›Full record

ArticleHealth expectations : an international journal of public participation in health care and health policy2025

Intersectionality and Long Covid: Understanding the Lived Experiences of Ethnic Minority Groups in the United Kingdom.

Yojana Lotankar, Anna Cheshire, Damien Ridge, Carolyn Chew-Graham, Nina Smyth, Claudia R Knowles, Dipesh Gopal, Tom Kingstone, Shoba Dawson

Abstract read
In one paragraph

Article in Health expectations : an international journal of public participation in health care and health policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Intersectionality and Long Covid: Understanding the Lived Experiences of Ethnic Minority Groups in the United Kingdom.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
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

9 authors.

Yojana LotankarPsychology, School of Social Sciences, University of Westminster, London, UK.ORCID 0000-0003-0444-7750
Anna CheshirePsychology, School of Social Sciences, University of Westminster, London, UK.ORCID 0000-0001-7920-6850
Damien RidgePsychology, School of Social Sciences, University of Westminster, London, UK.ORCID 0000-0001-9245-5958
Carolyn Chew-GrahamSchool of Medicine, Faculty of Medicine and Health Sciences, Keele University, Keele, UK.ORCID 0000-0002-9722-9981
Nina SmythPsychology, School of Social Sciences, University of Westminster, London, UK.
Claudia R KnowlesPsychology, School of Social Sciences, University of Westminster, London, UK.
Dipesh GopalWolfson Institute of Population Health, Queen Mary University of London, London, UK.
Tom KingstoneSchool of Medicine, Faculty of Medicine and Health Sciences, Keele University, Keele, UK.
Shoba DawsonCentre for Academic Primary Care, Bristol Medical School, University of Bristol, Bristol, UK.

Funding

Y.V.L. was funded by a PhD Studentship from the University of Westminster. C.C.G. is part-funded by West Midlands Applied Research Collaboration. Original data collection was funded by the National Institute for Health Research, under the Patient Benefit programme (NIHR203106).
6 · The paper itself

Abstract

introductionLong Covid is the patient-preferred term to describe persistent symptoms experienced following an acute Covid-19 infection. The severity and unpredictable nature of long Covid symptoms can affect every aspect of an individual's life. Under-represented groups such as ethnic minorities and lower socio-economic groups are disproportionately affected by long Covid and often face challenges in accessing healthcare and additional support. This study employed an intracategorical intersectionality approach to explore how the diverse experiences of long Covid among people from ethnic minority backgrounds are influenced by complexities like gender and socio-economic factors.

methodsA secondary analysis of 31 semi-structured interviews with individuals with long Covid from ethnic minority backgrounds, using reflexive thematic analysis.

resultsFindings are presented around the themes: (i) gender and ethnicity; (ii) socio-economic factors and illness experience; and (iii) comorbidities, disabilities and living with long Covid. Participants describe challenges in gaining support, including from health professionals, family and communities, but these challenges were gendered to a degree, with women and men describing distinctive difficulties. Financial capacity was considered important in determining the type and extent of accessible care. Support from employers also influenced participant's ability to take adequate time to recover and return to work. The interplay of comorbidities with long Covid could heighten the risk of more severe symptoms and complicate help-seeking for -and management of -long Covid.

conclusionAn intracategorical intersectional exploration of lived experience is necessary to reveal the nuances in individual experiences of long Covid. Findings will be of interest to health professionals and researchers in supporting their understanding of intersectional experiences of their patients. PATIENT PUBLIC INVOLVEMENT: The HI-COVE study was informed throughout by patient and expert advisory groups composed of individuals from ethnic minority backgrounds living with long Covid, their carers and professionals interested in this topic.

Indexed as

COVID-19EthnicityMinority GroupsAdultAgedComorbidityFemaleHealth Services AccessibilityHumansInterviews as TopicMaleMiddle AgedPost-Acute COVID-19 SyndromeQualitative ResearchSARS-CoV-2Sex FactorsCovid‐19ethnic minoritiesgenderintersectionallong Covidqualitative methodssecondary analysis

Identifiers

PMID40905101
PMCPMC12409300

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.