Translation and Validation Study of the French Version of the eHealth Literacy Scale: Web-Based Survey on a Student Population

eHealth literacy is emerging as a crucial concept for promoting patient self-management in an overloaded hospital system. However, to the best of our knowledge, no tool currently exists to measure the level of eHealth literacy among French-speaking people. The eHealth Literacy Scale (eHEALS) is an e...

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Bibliographic Details
Published in:JMIR formative research 2022-08, Vol.6 (8), p.e36777
Main Authors: Chaniaud, Noémie, Sagnier, Camille, Loup-Escande, Emilie
Format: Article
Language:English
Subjects:
Consumer health information
Health education
Health literacy
Information literacy
Native languages
Original Paper
Patients
Population
Questionnaires
Sociodemographics
Systematic review
Translations
Young adults
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Summary:eHealth literacy is emerging as a crucial concept for promoting patient self-management in an overloaded hospital system. However, to the best of our knowledge, no tool currently exists to measure the level of eHealth literacy among French-speaking people. The eHealth Literacy Scale (eHEALS) is an easy-to-administer 8-item questionnaire (5-point Likert scale, ranging from strongly disagree to strongly agree) that has already been translated into many languages. Currently, it is the most cited questionnaire in the literature. The aim of this study was to translate eHEALS to French and validate the French version of eHEALS (F-eHEALS). The validation of the F-eHEALS scale followed the 5 steps of the transcultural validation method: double reverse translation, validation by a committee of experts (n=4), pretest measurement to check the clarity of the items (n=22), administration of the scale in French via a web-based quantitative study combined with two other questionnaires (Health Literacy Survey-Europe-16 and Patient Activation Measure-13; N=328 students), and finally test-retest (n=78) to check the temporal stability of the measurements obtained from the scale. The results obtained for the measurement of factor structure, internal consistency, and temporal stability (intraclass correlation coefficient=0.84; 95% CI 0.76-0.9; F =6.416; P
ISSN:2561-326X
2561-326X
DOI:10.2196/36777