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

Security and Privacy of mHealth and uHealth (158) Ethics, Privacy, and Legal Issues (617) Peer-to-Peer Support and Online Communities (797) Theoretical Frameworks and Concepts (338)

Published on in Vol 9, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/19594, first published .
Privacy Concerns About Health Information Disclosure in Mobile Health: Questionnaire Study Investigating the Moderation Effect of Social Support

Privacy Concerns About Health Information Disclosure in Mobile Health: Questionnaire Study Investigating the Moderation Effect of Social Support

Privacy Concerns About Health Information Disclosure in Mobile Health: Questionnaire Study Investigating the Moderation Effect of Social Support

Authors of this article:

Yuanyuan Dang1 Author Orcid Image ;   Shanshan Guo2 Author Orcid Image ;   Xitong Guo3 Author Orcid Image ;   Mohan Wang2 Author Orcid Image ;   Kexin Xie3 Author Orcid Image
Article Authors Cited by (35) Tweetations (2) Metrics

Journals

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  6. Li L, Peng W, Rheu M. Factors Predicting Intentions of Adoption and Continued Use of Artificial Intelligence Chatbots for Mental Health: Examining the Role of UTAUT Model, Stigma, Privacy Concerns, and Artificial Intelligence Hesitancy. Telemedicine and e-Health 2024;30(3):722 View
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  12. Le C, Zhang Z, Liu Y. Research on Privacy Disclosure Behavior of Mobile App Users from Perspectives of Online Social Support and Gender Differences. International Journal of Human–Computer Interaction 2025;41(2):861 View
  13. Cloarec J, Meyer‐Waarden L, Munzel A. Transformative privacy calculus: Conceptualizing the personalization‐privacy paradox on social media. Psychology & Marketing 2024;41(7):1574 View
  14. Alhammad N, Alajlani M, Abd-alrazaq A, Arvanitis T, Epiphaniou G. Patients and Stakeholders’ Perspectives Regarding the Privacy, Security, and Confidentiality of Data Collected via Mobile Health Apps in Saudi Arabia: Protocol for a Mixed Method Study. JMIR Research Protocols 2024;13:e54933 View
  15. Cai K, Yu Z. Research on the Antecedents of Data Privacy Concern Toward Intelligent Connected Vehicles. International Journal of Human–Computer Interaction 2025;41(10):6286 View
  16. Xin H, Liu F, Wei Z. What decision-making process do mHealth users go through when faced with privacy disclosure behaviors? A dual trade-off perspective. Aslib Journal of Information Management 2024 View
  17. Li S, Mou Y, Xu J. Disclosing Personal Health Information to Emotional Human Doctors or Unemotional AI Doctors? Experimental Evidence Based on Privacy Calculus Theory. International Journal of Human–Computer Interaction 2025;41(14):8593 View
  18. Medina Aguerrebere P, Medina E, Gonzalez Pacanowski T. Building Reputed Brands Through Online Content Strategies: A Quantitative Analysis of Australian Hospitals’ Websites. Digital 2024;4(4):1008 View
  19. Ahmed N, Hao Y, Yu C, Jin Z. Enhancing Alzheimer’s detection: VAE-augmented handwriting analysis. CCF Transactions on Pervasive Computing and Interaction 2025;7(2):246 View
  20. Alshehri A, Alamari J, Almarhabi K. Assessing User Concerns and Preferences in the Evolution of Mobile Health Applications in Saudi Arabia. Journal of Advances in Information Technology 2025;16(4):499 View
  21. Zhang L, Xie Q, Qiu S, Liu M, You F, Zhao X. Willing or reluctant to share health data? A moderated mediation analysis of wearable device usage and data-sharing intentions among older adults. DIGITAL HEALTH 2025;11 View
  22. Zhou T, Wu X. Examining Generative AI User Disclosure Intention: A Perceived Affordance Perspective. Journal of Theoretical and Applied Electronic Commerce Research 2025;20(2):99 View
  23. Liu Z, Zou W, Yang S. What Drives Patient Preferences for AI Chatbots Over Doctors? A Survey Study Using the O-S-O-R Model. Health Communication 2025:1 View
  24. Zhu Q, Sun R, Lv D, Shen Y, Qin S, Anwar M. Research on the “Privacy Paradox” behaviors of online users from the perspective of attitude ambivalence: ERPs evidence. PLOS One 2025;20(8):e0330438 View
  25. Guo F, Gao L, Ni A, Zhao X, Zhang Y. Research on MaaS Usage Intention and Influence Mechanism. Applied Sciences 2025;15(17):9453 View
  26. Raimi R, Kim A, Ayabakan S, Dennis A. Judgmental Bot: Conversational Agents in Online Mental Health Screening. MIS Quarterly 2025;49(4):1319 View
  27. Chen X, Du H, Zheng P, Mou J. Understanding information sensitivity in the digital era: A literature analysis and future research agenda. Electronic Commerce Research and Applications 2025;74:101550 View
  28. Guo S, Guo X, Wu X, He G, Wang K. Enhancing social support: Role of professional capital in shaping identity-driven participation in online patient communities. Frontiers of Engineering Management 2025;12(4):1094 View
  29. Xiang F, Wu C, Cao T, Chen G, Wu H. Privacy paradox: exploring factors influencing women's disclosure of reproductive health information in the online health communities. Information Technology & People 2025:1 View
  30. Jiang J, Dang Y, Guo S, Sun Y, Zhou W. Construction of doctors’ reputation systems in online health services: The combination of online and offline mechanisms. Electronic Markets 2025;35(1) View
  31. Hu X, Jia L, Zhu Y, Chang Y, Takahashi K, Zhu Y. The impact of privacy enhancing technologies in online mental health platforms on users’ disclosure intention. Industrial Management & Data Systems 2025:1 View
  32. Wang X. Modeling older adults’ continuance intention toward mobile health apps: a dual-path SEM–ANN approach. BMC Public Health 2025;25(1) View

Books/Policy Documents

  1. Kokila ­, Jain R, Jeswal R, Ansari Z. AI Healthcare Applications and Security, Ethical, and Legal Considerations. View
  2. Gopal A, Mohana Sundari V. Digital Transformation and Sustainability: Methods and Applications. View

Conference Proceedings

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