Evidence map›Paper›PMID 37842709›Full record

ArticleFrontiers in psychology2023

Willingness to be vaccinated against COVID-19: the role of risk perception, trust in institutions, and affects.

Ghozlane Fleury-Bahi, Arnaud Sapin, Oscar Navarro, Abdel Halim Boudoukha, Jean-Michel Galharret, Amélie Bret, Anne Congard

Abstract read
In one paragraph

Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

7 authors.

Ghozlane Fleury-BahiLaboratoire de Psychologie des Pays de la Loire, Nantes Université, Univ Angers, Nantes, France.
Arnaud SapinLaboratoire de Psychologie des Pays de la Loire, Nantes Université, Univ Angers, Nantes, France.
Oscar NavarroLaboratoire CHROME, Université de Nîmes, Nîmes, France.
Abdel Halim BoudoukhaLaboratoire de Psychologie des Pays de la Loire, Nantes Université, Univ Angers, Nantes, France.
Jean-Michel GalharretLaboratoire de Mathématiques Jean Leray (LMJL), CNRS, Nantes Université, Nantes, France.
Amélie BretLaboratoire de Psychologie des Pays de la Loire, Nantes Université, Univ Angers, Nantes, France.
Anne CongardLaboratoire de Psychologie des Pays de la Loire, Nantes Université, Univ Angers, Nantes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Vaccination is one of the most effective ways to stop the COVID-19 pandemic and prevent severe disease. This study aims to ascertain the determinants of COVID-19 vaccination acceptance in the French population before the vaccine was introduced (France's second lockdown) and during the roll-out of the vaccination campaign (France's third lockdown). We focus on the following as determinants of willingness to be vaccinated: risk perception, affects related to the risk, and trust in political and health institutions. Method: The study was conducted among two convenient samples including 591 and 474 participants. The results show that the timing of the crisis was important. While the intention to be vaccinated was relatively low before the vaccines were introduced, it became significantly higher when the vaccination campaign was deployed. Results: The results show that risk perception and trust in health institutions are the most relevant predictors of intention to be vaccinated. Discussion: Results are discussed in terms of the effectiveness of communication campaigns.

Indexed as

affectsCOVID-19risk perceptiontrust in institutionsvaccination

Identifiers

PMID37842709
PMCPMC10576432

What OpenQuestion holds

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LicenceCC BY
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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.