Published on in Vol 8, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31633, first published .
Breaking the Data Value-Privacy Paradox in Mobile Mental Health Systems Through User-Centered Privacy Protection: A Web-Based Survey Study

Breaking the Data Value-Privacy Paradox in Mobile Mental Health Systems Through User-Centered Privacy Protection: A Web-Based Survey Study

Breaking the Data Value-Privacy Paradox in Mobile Mental Health Systems Through User-Centered Privacy Protection: A Web-Based Survey Study

Authors of this article:

Dongsong Zhang1 Author Orcid Image ;   Jaewan Lim1 Author Orcid Image ;   Lina Zhou1 Author Orcid Image ;   Alicia A Dahl1 Author Orcid Image

Journals

  1. 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
  2. Wiegmann C, Quinlivan E, Michnevich T, Pittrich A, Ivanova P, Rohrbach A, Kaminski J. A digital patient-reported outcome (electronic patient-reported outcome) system for patients with severe psychiatric disorders: User-centered development study and study protocol of a multicenter-controlled trial. DIGITAL HEALTH 2023;9 View
  3. Chen W, Miao L. Urban Digital Transformation and Enterprise Personal Data Protection. Journal of Circuits, Systems and Computers 2023;32(11) View
  4. Alhammad N, Alajlani M, Abd-alrazaq A, Epiphaniou G, Arvanitis T. Patients’ Perspectives on the Data Confidentiality, Privacy, and Security of mHealth Apps: Systematic Review. Journal of Medical Internet Research 2024;26:e50715 View
  5. Verbeke K, Jain C, Shpendi A, Borry P. Safeguarding Users of Consumer Mental Health Apps in Research and Product Improvement Studies: an Interview Study. Neuroethics 2024;17(1) View
  6. McElwain N, Fisher M, Nebeker C, Bodway J, Islam B, Hasegawa-Johnson M. Evaluating Users’ Experiences of a Child Multimodal Wearable Device: Mixed Methods Approach. JMIR Human Factors 2024;11:e49316 View
  7. Sun L, Yang B, Kindt E, Chu J. Privacy Barriers in Health Monitoring: Scoping Review. JMIR Nursing 2024;7:e53592 View
  8. 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
  9. Hengboriboon L, Yukongdi V. Enhancing Employee Assistance Programs for Stress Management in Thailand: Employees’ Perspectives. Sage Open 2024;14(4) View
  10. Alam P, Bolio A, Lin L, Larson H, Ayatollahi H. Stakeholders’ perceptions of personal health data sharing: A scoping review. PLOS Digital Health 2024;3(11):e0000652 View
  11. Yang T, Cai H, Song J, Li N, Liu H. Research on the network structure and gender/age differences of psychological safety among urban residents: network analysis based on a large sample. BMC Psychology 2025;13(1) View

Books/Policy Documents

  1. Chatterjee L, Sengupta R. Digital Identity in the New Era of Personalized Medicine. View

Conference Proceedings

  1. Kitkowska A, Karegar F, Wästlund E. Proceedings of the 15th Biannual Conference of the Italian SIGCHI Chapter. Share or Protect: Understanding the Interplay of Trust, Privacy Concerns, and Data Sharing Purposes in Health and Well-Being Apps View
  2. Khoo Y, Kang R, Reynolds T, Mentis H. Proceedings of the CHI Conference on Human Factors in Computing Systems. “That’s Kind of Sus(picious)”: The Comprehensiveness of Mental Health Application Users’ Privacy and Security Concerns View