Evidence map›Paper›PMID 33625960›Full record

ArticleHuman vaccines & immunotherapeutics2022

Online mis/disinformation and vaccine hesitancy in the era of COVID-19: Why we need an eHealth literacy revolution.

Fadia Dib, Philippe Mayaud, Pierre Chauvin, Odile Launay

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing 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

48 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

4 authors.

Fadia DibInserm Cic 1417, F-crin, I Reivac; Assistance Publique- Hôpitaux de Paris, Hôpital Cochin, Paris, France.
Philippe MayaudClinical Research Department, London School of Hygiene and Tropical Medicine, London, UK.ORCID 0000-0001-5730-947X
Pierre ChauvinINSERM, Sorbonne Université, Institut Pierre Louis d'épidémiologie et de Santé Publique, Paris, France.
Odile LaunayInserm Cic 1417, F-crin, I Reivac; Assistance Publique- Hôpitaux de Paris, Hôpital Cochin, Paris, France.ORCID 0000-0003-3242-7247

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quality of online health information is cause for concern in general, and the spread of mis/disinformation on the benefits and risks of vaccines has certainly been fueling vaccine hesitancy. In the wake of the COVID-19 pandemic, we have entered an era of unprecedented "infodemic." There has never been a more urgent time to address the long-standing question of how to overcome the deleterious influence of exposure to online mis/disinformation on vaccine uptake. eHealth literacy, a skill set including media literacy, is key to navigating the web in search for health information and processing the one encountered through social media. Studies assessing the impact of increasing eHealth literacy on behavioral attitudes and health outcomes in the general population are relatively scarce to date. Yet for many reasons, leveraging eHealth literacy skills, and more specifically, media literacy, could be of great value to help mitigate the detrimental effects of erroneous information on vaccination decision-making. In this paper, we make the case that eHealth and media literacies should be viewed as fundamental skills that have the potential to empower citizens to better recognize online mis/disinformation and make informed decisions about vaccination as any other health matters.

Indexed as

COVID-19Health LiteracyTelemedicineDisinformationHumansInternetPandemicsSARS-CoV-2Vaccination HesitancydisinformationeHealth literacyInternetMisinformationvaccine hesitancy

Identifiers

PMID33625960
PMCPMC8920122

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.