Published on in Vol 6, No 10 (2018): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/9217, first published .
Assessing the Privacy of mHealth Apps for Self-Tracking: Heuristic Evaluation Approach

Assessing the Privacy of mHealth Apps for Self-Tracking: Heuristic Evaluation Approach

Assessing the Privacy of mHealth Apps for Self-Tracking: Heuristic Evaluation Approach

Journals

  1. Benjumea J, Ropero J, Rivera-Romero O, Dorronzoro-Zubiete E, Carrasco A. Assessment of the Fairness of Privacy Policies of Mobile Health Apps: Scale Development and Evaluation in Cancer Apps. JMIR mHealth and uHealth 2020;8(7):e17134 View
  2. Nurgalieva L, O'Callaghan D, Doherty G. Security and Privacy of mHealth Applications: A Scoping Review. IEEE Access 2020;8:104247 View
  3. Nuamah J, Mehta R, Sasangohar F. Technologies for Opioid Use Disorder Management: Mobile App Search and Scoping Review. JMIR mHealth and uHealth 2020;8(6):e15752 View
  4. Hochheiser H, Valdez R. Human-Computer Interaction, Ethics, and Biomedical Informatics. Yearbook of Medical Informatics 2020;29(01):093 View
  5. Khowaja K, Al-Thani D. New Checklist for the Heuristic Evaluation of mHealth Apps (HE4EH): Development and Usability Study. JMIR mHealth and uHealth 2020;8(10):e20353 View
  6. Benjumea J, Ropero J, Rivera-Romero O, Dorronzoro-Zubiete E, Carrasco A. Privacy Assessment in Mobile Health Apps: Scoping Review. JMIR mHealth and uHealth 2020;8(7):e18868 View
  7. Hatamian M, Serna J, Rannenberg K. Revealing the unrevealed: Mining smartphone users privacy perception on app markets. Computers & Security 2019;83:332 View
  8. Ghelani D, Moran L, Johnson C, Mousa A, Naderpoor N. Mobile Apps for Weight Management: A Review of the Latest Evidence to Inform Practice. Frontiers in Endocrinology 2020;11 View
  9. Galvin H, DeMuro P. Developments in Privacy and Data Ownership in Mobile Health Technologies, 2016-2019. Yearbook of Medical Informatics 2020;29(01):032 View
  10. Holzmann S, Holzapfel C. A Scientific Overview of Smartphone Applications and Electronic Devices for Weight Management in Adults. Journal of Personalized Medicine 2019;9(2):31 View
  11. Rauschenberg C, Schick A, Hirjak D, Seidler A, Paetzold I, Apfelbacher C, Riedel-Heller S, Reininghaus U. Evidence Synthesis of Digital Interventions to Mitigate the Negative Impact of the COVID-19 Pandemic on Public Mental Health: Rapid Meta-review. Journal of Medical Internet Research 2021;23(3):e23365 View
  12. Ni Z, Wang Y, Qian Y. Privacy Policy Compliance of Chronic Disease Management Apps in China: Scale Development and Content Evaluation. JMIR mHealth and uHealth 2021;9(1):e23409 View
  13. Elkhodr M, Mubin O, Iftikhar Z, Masood M, Alsinglawi B, Shahid S, Alnajjar F. Technology, Privacy, and User Opinions of COVID-19 Mobile Apps for Contact Tracing: Systematic Search and Content Analysis. Journal of Medical Internet Research 2021;23(2):e23467 View
  14. Winoker J, Koo K, Huang M, Bhanji Y, Matlaga B. Systematic Evaluation of Smartphone Applications for the Medical Management of Nephrolithiasis. Journal of Endourology 2021;35(7):1058 View
  15. Shipp L, Blasco J. How private is your period?: A systematic analysis of menstrual app privacy policies. Proceedings on Privacy Enhancing Technologies 2020;2020(4):491 View
  16. Jusob F, George C, Mapp G. A new privacy framework for the management of chronic diseases via mHealth in a post-Covid-19 world. Journal of Public Health 2022;30(1):37 View
  17. Aljedaani B, Babar M. Challenges With Developing Secure Mobile Health Applications: Systematic Review. JMIR mHealth and uHealth 2021;9(6):e15654 View
  18. Vilaza G, McCashin D. Is the Automation of Digital Mental Health Ethical? Applying an Ethical Framework to Chatbots for Cognitive Behaviour Therapy. Frontiers in Digital Health 2021;3 View
  19. Seberger J, Patil S. Post-COVID Public Health Surveillance and Privacy Expectations in the United States: Scenario-Based Interview Study. JMIR mHealth and uHealth 2021;9(10):e30871 View
  20. Agesilaou A, Kyza E. Whose data are they? Elementary school students’ conceptualization of data ownership and privacy of personal digital data. International Journal of Child-Computer Interaction 2022;33:100462 View
  21. Abdelhamid M. Fitness Tracker Information and Privacy Management: Empirical Study. Journal of Medical Internet Research 2021;23(11):e23059 View
  22. Alhajri M, Rudolph C, Shahraki A. A Blockchain-Based Consent Mechanism for Access to Fitness Data in the Healthcare Context. IEEE Access 2022;10:22960 View
  23. Hendricks-Sturrup R. Pulse Oximeter App Privacy Policies During COVID-19: Scoping Assessment. JMIR mHealth and uHealth 2022;10(1):e30361 View
  24. Rezaee R, Khashayar M, Saeedinezhad S, Nasiri M, Zare S. Critical Criteria and Countermeasures for Mobile Health Developers to Ensure Mobile Health Privacy and Security: Mixed Methods Study. JMIR mHealth and uHealth 2023;11:e39055 View
  25. Tong H, Quiroz J, Kocaballi A, Ijaz K, Coiera E, Chow C, Laranjo L. A personalized mobile app for physical activity: An experimental mixed-methods study. DIGITAL HEALTH 2022;8:205520762211150 View
  26. Jakob R, Harperink S, Rudolf A, Fleisch E, Haug S, Mair J, Salamanca-Sanabria A, Kowatsch T. Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review. Journal of Medical Internet Research 2022;24(5):e35371 View
  27. Xie S, Meeker J, Perez L, Eriksen W, Localio A, Park H, Jen A, Goldstein M, Temeng A, Morales S, Christie C, Greenblatt R, Barg F, Apter A, Himes B. Feasibility and acceptability of monitoring personal air pollution exposure with sensors for asthma self-management. Asthma Research and Practice 2021;7(1) View
  28. Iwaya L, Babar M, Rashid A, Wijayarathna C. On the privacy of mental health apps. Empirical Software Engineering 2023;28(1) View
  29. Jacob C, Lindeque J, Klein A, Ivory C, Heuss S, Peter M. Assessing the Quality and Impact of eHealth Tools: Systematic Literature Review and Narrative Synthesis. JMIR Human Factors 2023;10:e45143 View
  30. Kühtreiber P, Pak V, Reinhardt D. A survey on solutions to support developers in privacy-preserving IoT development. Pervasive and Mobile Computing 2022;85:101656 View
  31. Saeidnia H, Karajizadeh M, Mohammadzadeh Z, Abdoli S, Hassanzadeh M. Usability Evaluation of the Mask Mobile Application: The Official Application of the Iranian Government. Iranian Journal of Medical Microbiology 2022;16(1):49 View
  32. Vilaza G, Bækgaard P. Teaching User Experience Design Ethics to Engineering Students: Lessons Learned. Frontiers in Computer Science 2022;4 View
  33. Wanchai A, Anderson E, Armer J. A systematic review of m-health apps on managing side effects of breast cancer treatment. Supportive Care in Cancer 2023;31(1) View
  34. Vandelanotte C, Trost S, Hodgetts D, Imam T, Rashid M, To Q, Maher C. Increasing physical activity using an just-in-time adaptive digital assistant supported by machine learning: A novel approach for hyper-personalised mHealth interventions. Journal of Biomedical Informatics 2023;144:104435 View
  35. Jacob C, Lindeque J, Müller R, Klein A, Metcalfe T, Connolly S, Koerber F, Maguire R, Denis F, Heuss S, Peter M. A sociotechnical framework to assess patient-facing eHealth tools: results of a modified Delphi process. npj Digital Medicine 2023;6(1) View
  36. Benjumea J, Ropero J, Dorronzoro-Zubiete E, Rivera-Romero O, Carrasco A. A Proposal for a Robust Validated Weighted General Data Protection Regulation-Based Scale to Assess the Quality of Privacy Policies of Mobile Health Applications: An eDelphi Study. Methods of Information in Medicine 2023;62(05/06):154 View
  37. Salehzadeh Niksirat K, Velykoivanenko L, Zufferey N, Cherubini M, Huguenin K, Humbert M. Wearable Activity Trackers: A Survey on Utility, Privacy, and Security. ACM Computing Surveys 2024;56(7):1 View
  38. Jiang J, Zheng Z. Medical Information Protection in Internet Hospital Apps in China: Scale Development and Content Analysis. JMIR mHealth and uHealth 2024;12:e55061 View
  39. Cui J. Measuring the adoption of internet and communication technologies among practitioners in routine disability services: a stepped inclusive approach. Disability and Rehabilitation: Assistive Technology 2024:1 View
  40. Zheng H, Zhao L, Luo C, Fu S, Chen X, Liang S. Understanding user engagement in mobile health applications from a privacy management perspective. Health Promotion International 2024;39(4) View

Books/Policy Documents

  1. Hatamian M, Momen N, Fritsch L, Rannenberg K. Privacy Technologies and Policy. View
  2. Smirnova S. Communication and Health. View
  3. Sarsenbayeva Z, Fleming C, Tag B, Withana A, van Berkel N, McEwan A. Human-Computer Interaction – INTERACT 2023. View
  4. Ndlovu B, Chipangura B, Singh S. Proceedings of Ninth International Congress on Information and Communication Technology. View