Evidence map›Paper›PMID 36934221›Full record

ArticleBMC public health2023

Stigmatization in the context of the COVID-19 pandemic: a survey experiment using attribution theory and the familiarity hypothesis.

Sebastian Sattler, Dina Maskileyson, Eric Racine, Eldad Davidov, Alice Escande

Open access · goldFull text read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
8.1field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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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

5 authors at 2 institutions in 3 countries.

Sebastian SattlerFaculty of Sociology, Bielefeld University, Bielefeld, Germany. sebastian.sattler@uni-bielefeld.de.ORCID 0000-0002-6491-0754
Dina MaskileysonInstitute of Sociology and Social Psychology, University of Cologne, Cologne, Germany.ORCID 0000-0002-5687-8336
Eric RacinePragmatic Health Ethics Research Unit, Institut de Recherches Cliniques de Montréal, Quebec, QC, Canada.ORCID 0000-0001-8306-551X
Eldad DavidovInstitute of Sociology and Social Psychology, University of Cologne, Cologne, Germany.ORCID 0000-0002-3396-969X
Alice EscandeBehavioural Insights Team, Paris, France.ORCID 0000-0001-7549-0380
University of Cologne · DEMontreal Clinical Research Institute · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has created a global health crisis, leading to stigmatization and discriminatory behaviors against people who have contracted or are suspected of having contracted the virus. Yet the causes of stigmatization in the context of COVID-19 remain only partially understood. Using attribution theory, we examine to what extent attributes of a fictitious person affect the formation of stigmatizing attitudes towards this person, and whether suspected COVID-19 infection (vs. flu) intensifies such attitudes. We also use the familiarity hypothesis to explore whether familiarity with COVID-19 reduces stigma and whether it moderates the effect of a COVID-19 infection on stigmatization.

methodsWe conducted a multifactorial vignette survey experiment (2

resultsResults revealed higher levels of stigma towards people who were diagnosed with COVID-19 versus a regular flu. In addition, stigma was higher towards those who were considered responsible for their infection due to irresponsible behavior. Knowing someone who died from a COVID infection increased stigma. While higher self-reported knowledge about COVID-19 was associated with more stigma, higher factual knowledge was associated with less.

conclusionAttribution theory and to a lesser extent the familiarity hypothesis can help better understand stigma in the context of COVID-19. This study provides insights about who is at risk of stigmatization and stigmatizing others in this context. It thereby allows identifying the groups that require more support in accessing healthcare services and suggests that basic, factually oriented public health interventions would be promising for reducing stigma.

Indexed as

COVID-19StereotypingHumansPandemicsSocial StigmaSurveys and QuestionnairesAttribution theoryCOVID-19Familiarity hypothesisFluInfectious diseaseKnowledgePandemicStigmatizationSurvey experiment

Identifiers

PMID36934221
PMCPMC10024019
OpenAlexW4327857189

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read18
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.