Three-factor structure of the ehealth literacy scale among magnetic resonance imaging and computed tomography outpatients: A confirmatory factor analysis

32Citations
Citations of this article
58Readers
Mendeley users who have this article in their library.

Abstract

Background: Electronic health (eHealth) literacy is needed to effectively engage with Web-based health resources. The 8-item eHealth literacy scale (eHEALS) is a commonly used self-report measure of eHealth literacy. Accumulated evidence has suggested that the eHEALS is unidimensional. However, a recent study by Sudbury-Riley and colleagues suggested that a theoretically-informed three-factor model fit better than a one-factor model. The 3 factors identified were awareness (2 items), skills (3 items), and evaluate (3 items). It is important to determine whether these findings can be replicated in other populations. Objective: The aim of this cross-sectional study was to verify the three-factor eHEALS structure among magnetic resonance imaging (MRI) and computed tomography (CT) medical imaging outpatients. Methods: MRI and CT outpatients were recruited consecutively in the waiting room of one major public hospital. Participants self-completed a touchscreen computer survey, assessing their sociodemographic, scan, and internet use characteristics. The eHEALS was administered to internet users, and the three-factor structure was tested using structural equation modeling. Results: Of 405 invited patients, 87.4% (354/405) were interested in participating in the study, and of these, 75.7% (268/354) were eligible. Of the eligible participants, 95.5% (256/268) completed all eHEALS items. Factor loadings were 0.80 to 0.94 and statistically significant (P

Cite

CITATION STYLE

APA

Hyde, L. L., Boyes, A. W., Evans, T. J., Mackenzie, L. J., & Sanson-Fisher, R. (2018). Three-factor structure of the ehealth literacy scale among magnetic resonance imaging and computed tomography outpatients: A confirmatory factor analysis. JMIR Human Factors, 5(1). https://doi.org/10.2196/humanfactors.9039

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free