Evidence map›Paper›PMID 36515982›Full record

ArticleJournal of medical Internet research2022

Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale.

Ilaria Montagni, Aude Pouymayou, Edwige Pereira, Christophe Tzourio, Stéphane Schück, Nathalie Texier, Juan Luis González-Caballero, CONFINS Group

Abstract read
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Article in Journal of medical Internet research, 2022. 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

8 authors.

Ilaria MontagniBordeaux Population Health UMRS1219, University of Bordeaux, Institut national de la santé et de la recherche médicale, Bordeaux, France.ORCID 0000-0003-0076-0010
Aude PouymayouBordeaux Population Health UMRS1219, University of Bordeaux, Institut national de la santé et de la recherche médicale, Bordeaux, France.ORCID 0000-0001-5183-3772
Edwige PereiraBordeaux Population Health UMRS1219, University of Bordeaux, Institut national de la santé et de la recherche médicale, Bordeaux, France.ORCID 0000-0002-4160-2310
Christophe TzourioBordeaux Population Health UMRS1219, University of Bordeaux, Institut national de la santé et de la recherche médicale, Bordeaux, France.ORCID 0000-0002-6517-2984
Stéphane SchückKappa Santé, Paris, France.ORCID 0000-0003-2642-7726
Nathalie TexierKappa Santé, Paris, France.ORCID 0000-0002-6297-1748
Juan Luis González-CaballeroDepartment of Statistics and Operational Research, University of Cádiz, Cádiz, Spain.ORCID 0000-0003-3378-5038
CONFINS GroupSee Acknowledgments, .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of the internet to look for information about vaccines has skyrocketed in the last years, especially with the COVID-19 pandemic. Digital vaccine literacy (DVL) refers to understanding, trust, appraisal, and application of vaccine-related information online.

objectiveThis study aims to develop a tool measuring DVL and assess its psychometric properties.

methodsA 7-item online questionnaire was administered to 848 French adults. Different psychometric analyses were performed, including descriptive statistics, exploratory factor analysis, confirmatory factor analysis, and convergent and discriminant validity.

resultsWe developed the 7-item DVL scale composed of 3 factors (understanding and trust official information; understanding and trust information in social media; and appraisal of vaccine information online in terms of evaluation of the information and its application for decision making). The mean DVL score of the baseline sample of 848 participants was 19.5 (SD 2.8) with a range of 7-28. The median score was 20. Scores were significantly different by gender (P=.24), age (P=.03), studying or working in the field of health (P=.01), and receiving regular seasonal flu shots (P=.01).

conclusionsThe DVL tool showed good psychometric proprieties, resulting in a promising measure of DVL.

Indexed as

COVID-19Health LiteracyVaccinesAdultHumansPandemicsPsychometricsReproducibility of ResultsSurveys and QuestionnairesVaccinescontentdigital literacyhealth informationhealth literacyInternetliteracymeasurementonlinereliabilityvaccinationvaccinevalidity

Identifiers

PMID36515982
PMCPMC9798258

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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.