ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2019
Psychometric properties of the Hungarian version of the eHealth Literacy Scale.
Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.
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Who cites it
37 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Systematic review of the measurement properties of patient-reported outcome measures (PROMs) of eHealth literacy in adult populations.Systematic reviews · 2026Pooled it
- Measuring health literacy: A systematic review and bibliometric analysis of instruments from 1993 to 2021.PloS one · 2022Pooled it
- eHealth Literacy Instruments: Systematic Review of Measurement Properties.Journal of medical Internet research · 2021Pooled it
- Improving the value of population health data for health policy and decision-making using machine learning algorithms in EQ-5D-5L index estimation.Scientific reports · 2026Article
- The role of digitalization in health decisions: family and intergenerational perspective.BMC public health · 2026Article
- eHealth Literacy Assessment Instruments: Scoping Review.Journal of medical Internet research · 2025Article
- Population norms for the EQ-5D-5L for Hungary: comparison of online surveys and computer assisted personal interviews.The European journal of health economics : HEPAC : health economics in prevention and care · 2025Article
- Psychometric Analysis of the eHealth Literacy Scale in Portuguese Older Adults (eHEALS-PT24): Instrument Development and Validation.Journal of medical Internet research · 2025Article
- Digital health literacy and sociodemographic factors among students in western Iran: a cross-sectional study.BMC medical education · 2025Article
- Healthcare information management and operational cost performance: empirical evidence.The European journal of health economics : HEPAC : health economics in prevention and care · 2024Article
- Measuring electronic health literacy in the context of diabetes care: psychometric evaluation of a Persian version of the condition-specific eHealth literacy scale for diabetes.BMC medical informatics and decision making · 2024Article
- Electronic Health Literacy Scale-Web3.0 for Older Adults with Noncommunicable Diseases: Validation Study.Journal of medical Internet research · 2024Article
- Robot-assisted surgery and artificial intelligence-based tumour diagnostics: social preferences with a representative cross-sectional survey.BMC medical informatics and decision making · 2024Article
- Digital health literacy and associated factors among internet users from China: a cross-sectional study.BMC public health · 2024Article
- The Impact of Parental Electronic Health Literacy on Disease Management and Outcomes in Pediatric Type 1 Diabetes Mellitus: Cross-Sectional Clinical Study.JMIR pediatrics and parenting · 2024Article
- Health care needs, eHealth literacy, use of mobile phone functionalities, and intention to use it for self-management purposes by informal caregivers of children with burns: a survey study.BMC medical informatics and decision making · 2023Article
- Article
- Epidemiology and patients' self-reported knowledge of implantable medical devices: Results of a cross-sectional survey in Hungary.PloS one · 2023Article
- Factors Influencing eHealth Literacy among Spanish Primary Healthcare Users: Cross-Sectional Study.International journal of environmental research and public health · 2022Article
- Validation of the PAM-13 instrument in the Hungarian general population 40 years old and above.The European journal of health economics : HEPAC : health economics in prevention and care · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWe adapted the eHealth Literacy Scale (eHEALS) for Hungary and tested its psychometric properties on a large representative online sample of the general population.
methodsThe 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).
results55% 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.
conclusionsThe Hungarian eHEALS is a useful and valid tool for measuring subjective eHealth literacy.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.