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@article{ Bäuerle2023, title = {Psychometric properties of the German revised version of the eHealth literacy scale in individuals with cardiac diseases: Validation and test of measurement invariance}, author = {Bäuerle, Alexander and Marsall, Matthias and Jahre, Lisa Maria and Rammos, Christos and Mallien, Charlotta and Skoda, Eva-Maria and Rassaf, Tienush and Lortz, Julia and Teufel, Martin}, journal = {Digital Health}, pages = {1-10}, volume = {9}, year = {2023}, issn = {2055-2076}, doi = {https://doi.org/10.1177/20552076231194915}, urn = {https://nbn-resolving.org/urn:nbn:de:0168-ssoar-94949-1}, abstract = {Background: The internet is most people's primary source of (health) information. However, no validated instrument exists to assess eHealth literacy in the group of patient with cardiac diseases. Objective: The objective of this study was the evaluation of the psychometric properties of the German revised version of the eHealth literacy scale (GR-eHEALS) in individuals with coronary artery disease (CAD) and congestive heart failure (CHF). Methods: A cross-sectional study was conducted. N = 455 were included in the statistical analyses. The assessment compromised the GR-eHEALS, medical history, sociodemographic data, and technology-related data. Confirmatory factor analyses, correlational analyses, and tests of measurement invariance were performed. Results: The two-factorial model reached a good model fit. The sub-scales information seeking and information appraisal, as well as the eHealth literacy total score, reached high reliability coefficients. Construct and criterion validity was fully confirmed For the two-factorial model, measurement invariance up to the scalar level could be confirmed regarding the sociodemographic characteristics sex, age, and educational level. Conclusions: This study confirmed the two-factor structure, construct, and criterion validity as well as measurement invariance at the scalar level for sex, age, and educational level of the GR-eHEALS scale in a sample of individuals with CAD and CHF.}, keywords = {Gesundheit; health; Gesundheitsverhalten; health behavior; Herzkrankheit; heart disease; Gesundheitswesen; health care delivery system; Kompetenz; competence; Internet; Internet; Information; information; Kreislaufkrankheit; circulatory disease; Messung; measurement; Validität; validity; Querschnittuntersuchung; cross-sectional study}}