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

Quality/Credibility of eHealth Information and Trust Issues (542)

Published on in Vol 21, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11125, first published .
A Revised Model of Trust in Internet-Based Health Information and Advice: Cross-Sectional Questionnaire Study

A Revised Model of Trust in Internet-Based Health Information and Advice: Cross-Sectional Questionnaire Study

A Revised Model of Trust in Internet-Based Health Information and Advice: Cross-Sectional Questionnaire Study

Authors of this article:

Elizabeth Sillence1 Author Orcid Image ;   John Matthew Blythe1, 2 Author Orcid Image ;   Pam Briggs1 Author Orcid Image ;   Mark Moss3 Author Orcid Image
Article Authors Cited by (34) Tweetations (12) Metrics

Journals

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  13. Sinclair M, McCullough J, Elliott D, Braz P, Cavero-Carbonell C, Dornan L, Jamry-Dziurla A, João Santos A, Latos-Bieleńska A, Machado A, Páramo-Rodríguez L. Using Social Media as a Research Tool for a Bespoke Web-Based Platform for Stakeholders of Children With Congenital Anomalies: Development Study. JMIR Pediatrics and Parenting 2021;4(4):e18483 View
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  17. Bai G, Fu K, Fu W, Liu G. Quality of Internet Videos Related to Pediatric Urology in Mainland China: A Cross-Sectional Study. Frontiers in Public Health 2022;10 View
  18. Moilanen J, van Berkel N, Visuri A, Gadiraju U, van der Maden W, Hosio S. Supporting mental health self-care discovery through a chatbot. Frontiers in Digital Health 2023;5 View
  19. Lungu D, Røislien J, Berg S, Smeets I, Shortt M, Thune H, Brønnick K. Assessing the Effect of Nonvisual Information Factors in Pandemic-Related Video Communication: Randomized Controlled Between-Subjects Experiment. Journal of Medical Internet Research 2023;25:e42528 View
  20. Lim H, Ng C, Abdullah A, Dunn A. How do patients with high cardiovascular risk evaluate online health information? A qualitative study. BMC Primary Care 2023;24(1) View
  21. Tan W, Liu Y, Shi Z, Zheng B, Feng L, Wang J, Wang X, Yuan Z. Information quality of videos related to Helicobacter pylori infection on TikTok: Cross‐sectional study. Helicobacter 2024;29(1) View
  22. Rathbone A, Stumpf S, Claisse C, Sillence E, Coventry L, Brown R, Durrant A, Kocaballi B. People with long-term conditions sharing personal health data via digital health technologies: A scoping review to inform design. PLOS Digital Health 2023;2(5):e0000264 View
  23. Lim H, Ng C, Dunn A, Abdullah A. Experiences and influences of online health information-seeking about statin use in patients with high cardiovascular risk: a qualitative study. Family Practice 2023;40(5-6):796 View
  24. Bayani A, Ayotte A, Nikiema J. Automated Credibility Assessment of Web-Based Health Information Considering Health on the Net Foundation Code of Conduct (HONcode): Model Development and Validation Study. JMIR Formative Research 2023;7:e52995 View
  25. Bruce E, Shurong Z, Amoah J, Egala S, Sobre Frimpong F. Reassessing the impact of social media on healthcare delivery: insights from a less digitalized economy. Cogent Public Health 2024;11(1) View
  26. Diab M, Demiris Y. A framework for trust-related knowledge transfer in human–robot interaction. Autonomous Agents and Multi-Agent Systems 2024;38(1) View
  27. Malarvizhi C, Manzoor S, Haque R. Revisiting the Extended IoT Use Behavior Model Among Senior NCD Patients for Smart Healthcare in Malaysia. International Journal of Service Science, Management, Engineering, and Technology 2024;15(1):1 View
  28. Yang Y, Tavares J, Oliveira T. A New Research Model for Artificial Intelligence–Based Well-Being Chatbot Engagement: Survey Study. JMIR Human Factors 2024;11:e59908 View
  29. Sillence E, Branley-Bell D, Moss M, Briggs P. A model of trust in online COVID-19 information and advice: cross sectional questionnaire study (Preprint). JMIR Infodemiology 2024 View

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