Evidence map›Paper›PMID 36417364›Full record

ArticlePloS one2022

Long Covid stigma: Estimating burden and validating scale in a UK-based sample.

Marija Pantelic, Nida Ziauddeen, Mark Boyes, Margaret E O'Hara, Claire Hastie, Nisreen A Alwan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 3 pooled it
9.5field-weighted citation impact, top 1% of its field
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

50 citing papers in PubMed, 3 syntheses or guidelines pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. Observational
  7. Review
  8. A short version of the post-COVID-19 condition stigma questionnaire.Public health in practice (Oxford, England) · 2026
    Article
  9. Article
  10. Barriers to Long COVID Care in the U.S.: An Application of Levesque et al.'s Access Framework.Health care analysis : HCA : journal of health philosophy and policy · 2026
    Article
  11. Vital yet Fragile: Informal Networks of Support Among Young People Navigating Long Covid.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  12. Review
  13. Co-Creating Publicly Available Resources to Increase Awareness of and Support for Long Covid Among Ethnic Minority Communities.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
  14. Article
  15. An Overview of Severe Myalgic Encephalomyelitis.Journal of clinical medicine · 2026
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

6 authors at 4 institutions in 2 countries.

Marija PantelicBrighton and Sussex Medical School, University of Sussex, Falmer, United Kingdom.
Nida ZiauddeenSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.ORCID 0000-0002-8964-5029
Mark BoyesSchool of Population Health, Faculty of Health Sciences, Curtin University, Perth, Australia.ORCID 0000-0001-5420-8606
Margaret E O'HaraPatient contributor, Long Covid Support https://www.longcovid.org.ORCID 0000-0001-9812-5183
Claire HastiePatient contributor, Long Covid Support https://www.longcovid.org.
Nisreen A AlwanSchool of Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Brighton and Sussex Medical School · GBCurtin University · AUUniversity Hospital Southampton NHS Foundation Trust · GBUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStigma can be experienced as perceived or actual disqualification from social and institutional acceptance on the basis of one or more physical, behavioural or other attributes deemed to be undesirable. Long Covid is a predominantly multisystem condition that occurs in people with a history of SARSCoV2 infection, often resulting in functional disability. This study aimed to develop and validate a Long Covid Stigma Scale (LCSS); and to quantify the burden of Long Covid stigma.

methodsData from the follow-up of a co-produced community-based Long Covid online survey using convenience non-probability sampling was used. Thirteen questions on stigma were designed to develop the LCSS capturing three domains-enacted (overt experiences of discrimination), internalised (internalising negative associations with Long Covid and accepting them as self-applicable) and anticipated (expectation of bias/poor treatment by others) stigma. Confirmatory factor analysis tested whether LCSS consisted of the three hypothesised domains. Model fit was assessed and prevalence was calculated.

results966 UK-based participants responded (888 for stigma questions), with mean age 48 years (SD: 10.7) and 85% female. Factor loadings for enacted stigma were 0.70-0.86, internalised 0.75-0.84, anticipated 0.58-0.87, and model fit was good. The prevalence of experiencing stigma at least 'sometimes' and 'often/always' was 95% and 76% respectively. Anticipated and internalised stigma were more frequently experienced than enacted stigma. Those who reported having a clinical diagnosis of Long Covid had higher stigma prevalence than those without.

conclusionThis study establishes a scale to measure Long Covid stigma and highlights common experiences of stigma in people living with Long Covid.

Indexed as

COVID-19FemaleHumansMaleMiddle AgedPost-Acute COVID-19 SyndromeRNA, ViralSARS-CoV-2United KingdomRNA, Viral

Identifiers

PMID36417364
PMCPMC9683629
OpenAlexW4309796697

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.