Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale
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....
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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JMIR Publications
2022-12-01
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| Series: | Journal of Medical Internet Research |
| Online Access: | https://www.jmir.org/2022/12/e39220 |
| _version_ | 1797734542051639296 |
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| author | Ilaria Montagni Aude Pouymayou Edwige Pereira Christophe Tzourio Stéphane Schück Nathalie Texier Juan Luis González-Caballero |
| author_facet | Ilaria Montagni Aude Pouymayou Edwige Pereira Christophe Tzourio Stéphane Schück Nathalie Texier Juan Luis González-Caballero |
| author_sort | Ilaria Montagni |
| collection | DOAJ |
| description |
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. |
| first_indexed | 2024-03-12T12:45:51Z |
| format | Article |
| id | doaj.art-d17779df33744c0c87c39154b441957c |
| institution | Directory Open Access Journal |
| issn | 1438-8871 |
| language | English |
| last_indexed | 2024-03-12T12:45:51Z |
| publishDate | 2022-12-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | Journal of Medical Internet Research |
| spelling | doaj.art-d17779df33744c0c87c39154b441957c2023-08-28T23:26:45ZengJMIR PublicationsJournal of Medical Internet Research1438-88712022-12-012412e3922010.2196/39220Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy ScaleIlaria Montagnihttps://orcid.org/0000-0003-0076-0010Aude Pouymayouhttps://orcid.org/0000-0001-5183-3772Edwige Pereirahttps://orcid.org/0000-0002-4160-2310Christophe Tzouriohttps://orcid.org/0000-0002-6517-2984Stéphane Schückhttps://orcid.org/0000-0003-2642-7726Nathalie Texierhttps://orcid.org/0000-0002-6297-1748Juan Luis González-Caballerohttps://orcid.org/0000-0003-3378-5038 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.https://www.jmir.org/2022/12/e39220 |
| spellingShingle | Ilaria Montagni Aude Pouymayou Edwige Pereira Christophe Tzourio Stéphane Schück Nathalie Texier Juan Luis González-Caballero Measuring Digital Vaccine Literacy: Development and Psychometric Assessment of the Digital Vaccine Literacy Scale Journal of Medical Internet Research |
| 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 |
| url | https://www.jmir.org/2022/12/e39220 |
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