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

Neurology and Neurosciences (188) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1645) Peer-to-Peer Support and Online Communities (637)

Published on in Vol 8, No 1 (2019): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10146, first published .
Health Topics on Facebook Groups: Content Analysis of Posts in Multiple Sclerosis Communities

Health Topics on Facebook Groups: Content Analysis of Posts in Multiple Sclerosis Communities

Health Topics on Facebook Groups: Content Analysis of Posts in Multiple Sclerosis Communities

Authors of this article:

Sara Della Rosa1 Author Orcid Image ;   Falguni Sen1 Author Orcid Image
Article Authors Cited by (25) Tweetations (12) Metrics

Journals

  1. Fragoso Y. Adverse events and monitoring requirements associated with monoclonal antibody therapy in patients with multiple sclerosis. Drugs & Therapy Perspectives 2019;35(12):627 View
  2. Lenzi A, Maranghi M, Stilo G, Velardi P. The social phenotype: Extracting a patient-centered perspective of diabetes from health-related blogs. Artificial Intelligence in Medicine 2019;101:101727 View
  3. Issom D, Henriksen A, Woldaregay A, Rochat J, Lovis C, Hartvigsen G. Factors Influencing Motivation and Engagement in Mobile Health Among Patients With Sickle Cell Disease in Low-Prevalence, High-Income Countries: Qualitative Exploration of Patient Requirements. JMIR Human Factors 2020;7(1):e14599 View
  4. Wang S, Liu L, Lai X, Liu T, Feng J, Xu L, Zhou J, Zhou G, Chen L, Zhan S. Assessment of quality, readability and endorsement of online information on WeChat official accounts for patients with rare neurological diseases: a cross-sectional study (Preprint). JMIR Medical Informatics 2020 View
  5. Rahn A, Solari A, Beckerman H, Nicholas R, Wilkie D, Heesen C, Giordano A. “I Will Respect the Autonomy of My Patient”. International Journal of MS Care 2020;22(6):285 View
  6. Kogan L, Little S, Oxley J. Dog and cat owners’ use of online Facebook groups for pet health information. Health Information & Libraries Journal 2021;38(3):203 View
  7. Lei Y, Xu S, Zhou L. User Behaviors and User-Generated Content in Chinese Online Health Communities: Comparative Study. Journal of Medical Internet Research 2021;23(12):e19183 View
  8. Sinclair M, McCullough J, Elliott D, Braz P, Cavero-Carbonell C, Dornan L, Jamry-Dziurla A, João Santos A, Latos-Bieleńska A, Machado A, Páramo-Rodríguez L. Using Social Media as a Research Tool for a Bespoke Web-Based Platform for Stakeholders of Children With Congenital Anomalies: Development Study. JMIR Pediatrics and Parenting 2021;4(4):e18483 View
  9. Mukherjee S, Kumar J, Pareek S, Jha A. Analysis of Information About Medicines Available on Facebook. International Journal of e-Collaboration 2021;18(1):1 View
  10. Manne S, Pagoto S, Peterson S, Heckman C, Kashy D, Berger A, Studts C, Negrón R, Buller D, Paddock L, Gallo J, Kulik A, Frederick S, Pesanelli M, Domider M, Grosso M. Facebook Intervention for Young-Onset Melanoma Survivors and Families: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2023;12:e39640 View
  11. Grani G, Lenzi A, Velardi P. Supporting Personalized Health Care With Social Media Analytics: An Application to Hypothyroidism. ACM Transactions on Computing for Healthcare 2022;3(1):1 View
  12. Gerritzen E, Lee A, McDermott O, Coulson N, Orrell M. Online Peer Support for People With Multiple Sclerosis: A Narrative Synthesis Systematic Review. International Journal of MS Care 2022;24(6):252 View
  13. Gerritzen E, Lee A, McDermott O, Coulson N, Orrell M. Online Peer Support for People With Parkinson Disease: Narrative Synthesis Systematic Review. JMIR Aging 2022;5(3):e35425 View
  14. Eitan T, Gazit T. Leader behaviors in Facebook support groups: An exploratory study. Current Psychology 2023;42(12):9691 View
  15. Yao Z, Ni Z, Zhang B, Du J. Do Informational and Emotional Elements Differ between Online Psychological and Physiological Disease Communities in China? A Comparative Study of Depression and Diabetes. International Journal of Environmental Research and Public Health 2022;19(4):2167 View
  16. 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
  17. Alnagar A, Elhadi Y, Abuyadek R, Quoritem M, Majid R, Ghitani S, Omar A, Arafat M, Foula M, Shaaban R. Revolutionizing Healthcare in the COVID-19 Era: Physicians Are Successfully Embracing Social Media to Replace Traditional Face-to-face Contact. SN Comprehensive Clinical Medicine 2023;6(1) View
  18. Afsar A, Ghosh S, Titus R, Cheng K, Kanawala A, Kerkhof P, Day J, Gupta L. Content analysis of patient support groups related to myositis on Facebook. Clinical Rheumatology 2024;43(2):725 View
  19. Hossain M, Ali M, Siraj M, Ahmad M, Islam M. Health Information Sharing Pattern on Social Media and User Engagement: A Content Analysis on Facebook Public Posts in Bangladesh. Current Research Journal of Social Sciences and Humanities 2024;6(2):230 View
  20. Xian X, Neuwirth R, Chang A. Government-Nongovernmental Organization (NGO) Collaboration in Macao’s COVID-19 Vaccine Promotion: Social Media Case Study. JMIR Infodemiology 2024;4:e51113 View
  21. 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
  22. Eitan T, Gazit T. Explaining transformational leadership in the digital age: The example of Facebook group leaders. Technology in Society 2024;78:102637 View

Books/Policy Documents

  1. Velardi P, Lenzi A. Artificial Intelligence in Medicine. View
  2. Velardi P, Lenzi A. Artificial Intelligence in Medicine. View
  3. Akrout M, Amdouni H, Feriani A, Kourda M, Abid L. Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging. View