Psychometric Evaluation of the Persian eHealth Literacy Scale (eHEALS) Among Elder Iranians With Heart Failure

Chung Ying Lin, Anders Broström, Mark D. Griffiths, Amir H. Pakpour

研究成果: Article同行評審

27 引文 斯高帕斯(Scopus)


The purpose of the present study was to examine the psychometric properties of the eHealth Literacy Scale (eHEALS) using classical test theory and modern test theory among elderly Iranian individuals with heart failure (HF). Individuals with objectively verified HF (n = 388, 234 males, mean age = 68.9 ± 3.4) completed the (i) eHEALS, (ii) Hospital Anxiety and Depression Scale, (iii) Short Form 12, (iv) 9-item European Heart Failure Self-Care Behavior Scale, and (v) 5-item Medication Adherence Report Scale. Two types of analyses were carried out to evaluate the factorial structure of the eHEALS: (i) confirmatory factor analysis (CFA) in classical test theory and (ii) Rasch analysis in modern test theory. A regression model was constructed to examine the associations between eHEALS and other instruments. CFA supported the one-factor structure of the eHEALS with significant factor loadings for all items. Rasch analysis also supported the unidimensionality of the eHEALS with item fit statistics ranging between 0.5 and 1.5. The eHEALS was significantly associated with all the external criteria. The eHEALS is suitable for health-care providers to assess eHealth literacy for individuals with HF.

頁(從 - 到)222-229
期刊Evaluation and the Health Professions
出版狀態Published - 2020 12月 1

All Science Journal Classification (ASJC) codes

  • 健康政策


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