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

Peer-to-Peer Support and Online Communities (597) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Participatory Medicine & E-Patients (758)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17338, first published .
Assessment of Adaptive Engagement and Support Model for People With Chronic Health Conditions in Online Health Communities: Combined Content Analysis

Assessment of Adaptive Engagement and Support Model for People With Chronic Health Conditions in Online Health Communities: Combined Content Analysis

Assessment of Adaptive Engagement and Support Model for People With Chronic Health Conditions in Online Health Communities: Combined Content Analysis

Authors of this article:

Brian M Green1 Author Orcid Image ;   Katelyn Tente Van Horn1 Author Orcid Image ;   Ketki Gupte1 Author Orcid Image ;   Megan Evans2 Author Orcid Image ;   Sara Hayes1 Author Orcid Image ;   Amrita Bhowmick1, 2 Author Orcid Image
Article Authors Cited by (13) Tweetations (10) Metrics

Journals

  1. Liang O, Chen Y, Bennett D, Yang C. Identifying Self-Management Support Needs for Pregnant Women With Opioid Misuse in Online Health Communities: Mixed Methods Analysis of Web Posts. Journal of Medical Internet Research 2021;23(2):e18296 View
  2. Horrell L, Hayes S, Herbert L, MacTurk K, Lawhon L, Valle C, Bhowmick A. Telemedicine Use and Health-Related Concerns of Patients With Chronic Conditions During COVID-19: Survey of Members of Online Health Communities. Journal of Medical Internet Research 2021;23(2):e23795 View
  3. Li J, Yu K, Bao X, Liu X, Yao J. Patterns of eHealth Website User Engagement Based on Cross-site Clickstream Data: Correlational Study. Journal of Medical Internet Research 2021;23(8):e29299 View
  4. De Angelis M, Lavorgna L, Carotenuto A, Petruzzo M, Lanzillo R, Brescia Morra V, Moccia M. Digital Technology in Clinical Trials for Multiple Sclerosis: Systematic Review. Journal of Clinical Medicine 2021;10(11):2328 View
  5. Lopez-Olivo M, Foreman J, Leung C, Lin H, Westrich-Robertson T, Hofstetter C, des Bordes J, Lyddiatt A, Leong A, Willcockson I, Peterson S, Suarez-Almazor M. A randomized controlled trial evaluating the effects of social networking on chronic disease management in rheumatoid arthritis. Seminars in Arthritis and Rheumatism 2022;56:152072 View
  6. Yao Z, Zhang B, Ni Z, Ma F. What users seek and share in online diabetes communities: examining similarities and differences in expressions and themes. Aslib Journal of Information Management 2022;74(2):311 View
  7. Green B, Hribar C, Hayes S, Bhowmick A, Herbert L. Come for Information, Stay for Support: Harnessing the Power of Online Health Communities for Social Connectedness during the COVID-19 Pandemic. International Journal of Environmental Research and Public Health 2021;18(23):12743 View
  8. McCarthy V, Portz J, Fischer S, Greenway E, Johnson R, Knoepke C, Matlock D, Omeragic F, Peterson R, Ranney M, Betz M. A Web-Based Decision Aid for Caregivers of Persons With Dementia With Firearm Access (Safe at Home Study): Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2023;12:e43702 View
  9. Fu J, Li C, Zhou C, Li W, Lai J, Deng S, Zhang Y, Guo Z, Wu Y. Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review. Journal of Medical Internet Research 2023;25:e43349 View
  10. Sun W, Guo X, Kwok R. Emotion or information? Differences and relationships between two types of professional support in online health communities. Information & Management 2024;61(3):103944 View
  11. Zhao Y, Zhang L. Getting better? Examining the effects of social support in OHCs on users’ emotional improvement. Information Processing & Management 2024;61(4):103754 View
  12. Zhang Y, Fu J, Lai J, Deng S, Guo Z, Zhong C, Tang J, Cao W, Wu Y. Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review. Journal of Medical Internet Research 2024;26:e51496 View

Books/Policy Documents

  1. Lushington T, Zgurzynski M, Lushington G. Computational Modeling of Drugs Against Alzheimer’s Disease. View