Published on in Vol 18, No 2 (2016): February

In Pursuit of Theoretical Ground in Behavior Change Support Systems: Analysis of Peer-to-Peer Communication in a Health-Related Online Community

In Pursuit of Theoretical Ground in Behavior Change Support Systems: Analysis of Peer-to-Peer Communication in a Health-Related Online Community

In Pursuit of Theoretical Ground in Behavior Change Support Systems: Analysis of Peer-to-Peer Communication in a Health-Related Online Community

Authors of this article:

Sahiti Myneni1 Author Orcid Image ;   Nathan Cobb2 Author Orcid Image ;   Trevor Cohen1 Author Orcid Image

Journals

  1. Wani R. Lifestyle medicine and use of technology in current healthcare. BMJ Innovations 2019;5(4):135.2 View
  2. Rykov Y, Meylakhs P, Sinyavskaya Y. Network Structure of an AIDS-Denialist Online Community: Identifying Core Members and the Risk Group. American Behavioral Scientist 2017;61(7):688 View
  3. Valdez R, Guterbock T, Fitzgibbon K, Williams I, Wellbeloved-Stone C, Bears J, Menefee H. From loquacious to reticent: understanding patient health information communication to guide consumer health IT design. Journal of the American Medical Informatics Association 2017;24(4):680 View
  4. Welch V, Petkovic J, Simeon R, Presseau J, Gagnon D, Hossain A, Pardo J, Pottie K, Rader T, Sokolovski A, Yoganathan M, Tugwell P, DesMeules M. PROTOCOL: Interactive social media interventions for health behaviour change, health outcomes, and health equity in the adult population. Campbell Systematic Reviews 2018;14(1):1 View
  5. Myneni S, Lewis B, Singh T, Paiva K, Kim S, Cebula A, Villanueva G, Wang J. Diabetes Self-Management in the Age of Social Media: Large-Scale Analysis of Peer Interactions Using Semiautomated Methods. JMIR Medical Informatics 2020;8(6):e18441 View
  6. Hill L, Rybar J, Jahns J, Lozano T, Baird S. ‘Just Drive’: An Employee-Based Intervention to Reduce Distracted Driving. Journal of Community Health 2020;45(2):370 View
  7. Kuwabara A, Su S, Krauss J. Utilizing Digital Health Technologies for Patient Education in Lifestyle Medicine. American Journal of Lifestyle Medicine 2020;14(2):137 View
  8. van Mierlo T, Li X, Hyatt D, Ching A. Demographic and Indication-Specific Characteristics Have Limited Association With Social Network Engagement: Evidence From 24,954 Members of Four Health Care Support Groups. Journal of Medical Internet Research 2017;19(2):e40 View
  9. Welch V, Petkovic J, Simeon R, Presseau J, Gagnon D, Hossain A, Pardo Pardo J, Pottie K, Rader T, Sokolovski A, Yoganathan M, Tugwell P, DesMeules M. Interactive social media interventions for health behaviour change, health outcomes, and health equity in the adult population. Cochrane Database of Systematic Reviews 2018 View
  10. Myneni S, Sridharan V, Cobb N, Cohen T. Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions. Journal of Participatory Medicine 2018;10(3):e9 View
  11. Rykov Y, Meylakhs P. Network Structure of an AIDS-Denialists Online Community: Identifying Core Members and the Risk Group. SSRN Electronic Journal 2016 View
  12. Pearson J, Amato M, Papandonatos G, Zhao K, Erar B, Wang X, Cha S, Cohn A, Graham A. Exposure to positive peer sentiment about nicotine replacement therapy in an online smoking cessation community is associated with NRT use. Addictive Behaviors 2018;87:39 View
  13. Roland D, Spurr J, Cabrera D. Preliminary Evidence for the Emergence of a Health Care Online Community of Practice: Using a Netnographic Framework for Twitter Hashtag Analytics. Journal of Medical Internet Research 2017;19(7):e252 View
  14. Wu B. Patient Continued Use of Online Health Care Communities: Web Mining of Patient-Doctor Communication. Journal of Medical Internet Research 2018;20(4):e126 View
  15. Kotsenas A, Arce M, Aase L, Timimi F, Young C, Wald J. The Strategic Imperative for the Use of Social Media in Health Care. Journal of the American College of Radiology 2018;15(1):155 View
  16. Zhou J, Wang C. Improving cancer survivors’ e-health literacy via online health communities (OHCs): a social support perspective. Journal of Cancer Survivorship 2020;14(2):244 View
  17. Rieder A, Eseryel U, Lehrer C, Jung R. Why Users Comply with Wearables: The Role of Contextual Self-Efficacy in Behavioral Change. International Journal of Human–Computer Interaction 2021;37(3):281 View
  18. Singh T, Roberts K, Cohen T, Cobb N, Wang J, Fujimoto K, Myneni S. Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review. JMIR Public Health and Surveillance 2020;6(4):e21660 View
  19. Ramsden R, Colbran R, Christopher E, Edwards M. The role of digital technology in providing education, training, continuing professional development and support to the rural health workforce. Health Education 2022;122(2):126 View
  20. Robinson A, Husband A, Slight R, Slight S. Digital technology to support lifestyle and health behaviour changes in surgical patients: systematic review. BJS Open 2021;5(2) View
  21. Petkovic J, Duench S, Trawin J, Dewidar O, Pardo Pardo J, Simeon R, DesMeules M, Gagnon D, Hatcher Roberts J, Hossain A, Pottie K, Rader T, Tugwell P, Yoganathan M, Presseau J, Welch V. Behavioural interventions delivered through interactive social media for health behaviour change, health outcomes, and health equity in the adult population. Cochrane Database of Systematic Reviews 2021;2021(6) View
  22. Qian Y, Gui W, Ma F, Dong Q. Exploring features of social support in a Chinese online smoking cessation community: A multidimensional content analysis of user interaction data. Health Informatics Journal 2021;27(2):146045822110214 View
  23. Dlima S, Shevade S, Menezes S, Ganju A. Digital Phenotyping in Health Using Machine Learning Approaches: Scoping Review. JMIR Bioinformatics and Biotechnology 2022;3(1):e39618 View
  24. Singh T, Olivares S, Cohen T, Cobb N, Wang J, Franklin A, Myneni S. Pragmatics to Reveal Intent in Social Media Peer Interactions: Mixed Methods Study. Journal of Medical Internet Research 2021;23(11):e32167 View
  25. Singh T, Roberts K, Cohen T, Cobb N, Franklin A, Myneni S. Discerning conversational context in online health communities for personalized digital behavior change solutions using Pragmatics to Reveal Intent in Social Media (PRISM) framework. Journal of Biomedical Informatics 2023;140:104324 View
  26. Telke S, Leininger B, Hanson L, Kreitzer M. A Randomized Trial of 21 Days of Loving Kindness Meditation for Stress Reduction and Emotional Well-being Within an Online Health Community for Patients, Family, and Friends Experiencing a Cancer Health Journey. Journal of Integrative and Complementary Medicine 2022;28(2):158 View
  27. Ramsden R, Pit S, Colbran R, Payne K, Tan A, Edwards M. Development of a framework to promote rural health workforce capability through digital solutions: A qualitative study of user perspectives. DIGITAL HEALTH 2022;8:205520762210890 View
  28. Shi J, Khoo Z. Online health community for change: Analysis of self-disclosure and social networks of users with depression. Frontiers in Psychology 2023;14 View
  29. Shi J, Khoo Z. Words for the hearts: a corpus study of metaphors in online depression communities. Frontiers in Psychology 2023;14 View
  30. Sánchez-Franco S, Montgomery S, Torres-Narvaez E, Ramírez A, Murray J, Tate C, Llorente B, Bauld L, Hunter R, Kee F, Sarmiento O. How Do Adolescent Smoking Prevention Interventions Work in Different Contextual Settings? A Qualitative Comparative Study Between the UK and Colombia. International Journal of Behavioral Medicine 2024;31(5):691 View
  31. Leeson‐Smith M, Geddes L, Johnson H, Pit S, Ramsden R. Prevalence of technology and connectivity issues in general practices in rural New South Wales and their impact on staff capability to perform their job. Australian Journal of Rural Health 2024;32(4):715 View

Books/Policy Documents

  1. Sridharan V, Cohen T, Cobb N, Myneni S. Social, Cultural, and Behavioral Modeling. View
  2. Myneni S, Fujimoto K, Cohen T. Cognitive Informatics in Health and Biomedicine. View
  3. Khan M, Fernandes G, Maes P. Persuasive Technology. View