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

BACKGROUND: The 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. OBJECTIVE: This study...

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Autores principales: Montagni, Ilaria, Pouymayou, Aude, Pereira, Edwige, Tzourio, Christophe, Schück, Stéphane, Texier, Nathalie, González-Caballero, Juan Luis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798258/
https://www.ncbi.nlm.nih.gov/pubmed/36515982
http://dx.doi.org/10.2196/39220
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author Montagni, Ilaria
Pouymayou, Aude
Pereira, Edwige
Tzourio, Christophe
Schück, Stéphane
Texier, Nathalie
González-Caballero, Juan Luis
author_facet Montagni, Ilaria
Pouymayou, Aude
Pereira, Edwige
Tzourio, Christophe
Schück, Stéphane
Texier, Nathalie
González-Caballero, Juan Luis
author_sort Montagni, Ilaria
collection PubMed
description BACKGROUND: The 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. OBJECTIVE: This study aims to develop a tool measuring DVL and assess its psychometric properties. METHODS: A 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. RESULTS: We 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). CONCLUSIONS: The DVL tool showed good psychometric proprieties, resulting in a promising measure of DVL.
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spelling pubmed-97982582022-12-30 Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale Montagni, Ilaria Pouymayou, Aude Pereira, Edwige Tzourio, Christophe Schück, Stéphane Texier, Nathalie González-Caballero, Juan Luis J Med Internet Res Original Paper BACKGROUND: The 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. OBJECTIVE: This study aims to develop a tool measuring DVL and assess its psychometric properties. METHODS: A 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. RESULTS: We 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). CONCLUSIONS: The DVL tool showed good psychometric proprieties, resulting in a promising measure of DVL. JMIR Publications 2022-12-14 /pmc/articles/PMC9798258/ /pubmed/36515982 http://dx.doi.org/10.2196/39220 Text en ©Ilaria Montagni, Aude Pouymayou, Edwige Pereira, Christophe Tzourio, Stéphane Schück, Nathalie Texier, Juan Luis González-Caballero, The CONFINS Group. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 14.12.2022. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Montagni, Ilaria
Pouymayou, Aude
Pereira, Edwige
Tzourio, Christophe
Schück, Stéphane
Texier, Nathalie
González-Caballero, Juan Luis
Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale
title Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale
title_full Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale
title_fullStr Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale
title_full_unstemmed Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale
title_short Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale
title_sort measuring digital vaccine literacy: development and psychometric assessment of the digital vaccine literacy scale
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9798258/
https://www.ncbi.nlm.nih.gov/pubmed/36515982
http://dx.doi.org/10.2196/39220
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