This paper is in the following e-collection/theme issue:

Digital Health Reviews (1174) Quality/Credibility of eHealth Information and Trust Issues (485)

Published on in Vol 24, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/36463, first published .
Consumers’ Evaluation of Web-Based Health Information Quality: Meta-analysis

Consumers’ Evaluation of Web-Based Health Information Quality: Meta-analysis

Consumers’ Evaluation of Web-Based Health Information Quality: Meta-analysis

Authors of this article:

Yan Zhang1, 2 Author Orcid Image ;   Yeolib Kim3 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

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  2. Lu R, Zhao S, Wang X, Zhou J, Ou W, Jiang Y, Wen J, Hu L. Insights Into the Relationships Between Health Communication and Doctor-patient Relationship: A Scientometric Analysis Based on CiteSpace and Validation of Questionnaires. INQUIRY: The Journal of Health Care Organization, Provision, and Financing 2023;60:004695802311520 View
  3. van der Ven J, van den Bemt B, van Dijk L, Opdam M, Haegens L, Vriezekolk J, Verhoef L. Preferences of Patients With Musculoskeletal Disorders Regarding the Timing and Channel of eHealth and Factors Influencing Its Use: Mixed Methods Study. JMIR Human Factors 2023;10:e44885 View
  4. Baqraf Y, Keikhosrokiani P, Al-Rawashdeh M. Evaluating online health information quality using machine learning and deep learning: A systematic literature review. DIGITAL HEALTH 2023;9 View
  5. Zhao Y, Zhang L, Zeng C, Chen Y, Lu W, Song N. Factors influencing online health information credibility: a meta-analysis. Aslib Journal of Information Management 2024 View
  6. Datta S, Kumar S. Evaluating the Criteria for Selection of Web Resources for Academic Pursuit. Journal of Library & Information Services in Distance Learning 2024;18(1-2):38 View
  7. Kröger J, Maaß C. Mangelnde Verständlichkeit durch Fachsprache in Gesundheitsinformationen zu chronischen Erkrankungen – eine qualitative Korpusanalyse. Prävention und Gesundheitsförderung 2024 View
  8. Geantă M, Bădescu D, Chirca N, Nechita O, Radu C, Rascu Ș, Rădăvoi D, Sima C, Toma C, Jinga V. The Emerging Role of Large Language Models in Improving Prostate Cancer Literacy. Bioengineering 2024;11(7):654 View