Evidence map›Paper›PMID 33019663›Full record

ArticleVaccines2020

Relationship between Citizens' Health Engagement and Intention to Take the COVID-19 Vaccine in Italy: A Mediation Analysis.

Guendalina Graffigna, Lorenzo Palamenghi, Stefania Boccia, Serena Barello

Abstract read
In one paragraph

Article in Vaccines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 5 pooled it
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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

107 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Implications for COVID-19 vaccine uptake: A systematic review.Journal of infection and public health · 2023
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47 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Guendalina GraffignaEngageMinds HUB-Consumer, Food & Health Engagement Research Center, 20123 Milan, Italy.ORCID 0000-0003-4378-7467
Lorenzo PalamenghiEngageMinds HUB-Consumer, Food & Health Engagement Research Center, 20123 Milan, Italy.ORCID 0000-0002-8222-3915
Stefania BocciaSection of Hygiene, Department of Health Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy.
Serena BarelloEngageMinds HUB-Consumer, Food & Health Engagement Research Center, 20123 Milan, Italy.ORCID 0000-0002-8514-2563

Funding

Fondazione Cariplo 2018/2757
6 · The paper itself

Abstract

The actual effectiveness of the still-to-come vaccination against the coronavirus SARS-CoV-2 might be challenged by vaccine hesitancy, a rather common and known phenomenon whose psychological predictors are, nevertheless, still largely debated. Our study aims at understanding how adult citizens' health engagement, perceived COVID-19 susceptibility and severity, and general vaccine-related attitudes affect the willingness to vaccinate against COVID-19. To that end, on a sample of Italian citizens, we implemented a path model to test the impact of health engagement on the willingness to vaccinate against SARS-CoV-2, and whether this relationship is direct or mediated by the general attitude towards vaccines and the risk perception. Moreover, we tested the configural and weak invariance of the model across gender and three age groups. Results show that health engagement is positively related to the intention to vaccinate and that this relationship is partially mediated by the general attitude towards vaccines. The model appears invariant across genders and partially invariant across age groups, showing some differences in the role of perceived susceptibility. These findings vouch for the implementation of educational campaigns aimed at sustaining future vaccination programs that also include health engagement promotion.

Indexed as

COVID-19health engagementmediation modelpath modelpatient engagementSARS-CoV-2vaccine acceptancevaccine attitudevaccine hesitancy

Identifiers

PMID33019663
PMCPMC7711984

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.