Psychometric properties of the Hungarian version of the eHealth Literacy Scale

Zsombor Zrubka, Ottó Hajdu, Fanni Rencz, Petra Baji, L. Gulácsi, Márta Péntek

Research output: Contribution to journalArticle

Abstract

Background: We adapted the eHealth Literacy Scale (eHEALS) for Hungary and tested its psychometric properties on a large representative online sample of the general population. Methods: The Hungarian version of eHEALS was developed using forward–backward translation. For the valuation study, 1000 respondents were recruited in early 2019 from a large online panel by a survey company. We tested internal consistency, test–retest reliability and construct and criterion validity using classical test theory, as well as item characteristics using an item-response theory (IRT) graded response model (GRM). Results: 55% of respondents were female, and 22.1% were ≥ 65 years old. Mean eHEALS score was 29.2 (SD: 5.18). Internal consistency was good (Cronbach’s α = 0.90), and test–retest reliability was moderate (intraclass correlation r = 0.64). We identified a single-factor structure by exploratory factor analysis, explaining 85% of test variance. Essential criteria for GRM analysis were met. Items 3 and 4 (search of health resources) were the least difficult, followed by items 5 and 8 (utilisation of health information), and then items 1 and 2 (awareness of health resources). Items 6 and 7 (appraisal of health resources) were most difficult. The measurement properties of eHEALS were not affected by gender, age, education or income levels. Female gender, older age, intensity of health information seeking, formal health education and visit at the electronic health-record website were associated with higher eHEALS scores, as well as best and worst self-perceived health states, BMI < 25 and participation at health screenings over the past year. Conclusions: The Hungarian eHEALS is a useful and valid tool for measuring subjective eHealth literacy.

Original languageEnglish
Pages (from-to)57-69
Number of pages13
JournalEuropean Journal of Health Economics
Volume20
DOIs
Publication statusPublished - Jun 1 2019

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Telemedicine
Psychometrics
Health Resources
Health
Hungary
Electronic Health Records
Literacy
E-health
Health Education
Statistical Factor Analysis
Education
Population
Surveys and Questionnaires
Resources

Keywords

  • eHEALS
  • eHealth literacy
  • EQ-5D-5L
  • Hungary
  • Item-response theory
  • Validation

ASJC Scopus subject areas

  • Economics, Econometrics and Finance (miscellaneous)
  • Health Policy

Cite this

Psychometric properties of the Hungarian version of the eHealth Literacy Scale. / Zrubka, Zsombor; Hajdu, Ottó; Rencz, Fanni; Baji, Petra; Gulácsi, L.; Péntek, Márta.

In: European Journal of Health Economics, Vol. 20, 01.06.2019, p. 57-69.

Research output: Contribution to journalArticle

Zrubka, Zsombor ; Hajdu, Ottó ; Rencz, Fanni ; Baji, Petra ; Gulácsi, L. ; Péntek, Márta. / Psychometric properties of the Hungarian version of the eHealth Literacy Scale. In: European Journal of Health Economics. 2019 ; Vol. 20. pp. 57-69.
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