Published on in Vol 19, No 4 (2017): April

Understanding Health Care Social Media Use From Different Stakeholder Perspectives: A Content Analysis of an Online Health Community

Understanding Health Care Social Media Use From Different Stakeholder Perspectives: A Content Analysis of an Online Health Community

Understanding Health Care Social Media Use From Different Stakeholder Perspectives: A Content Analysis of an Online Health Community

Authors of this article:

Yingjie Lu1 Author Orcid Image ;   Yang Wu1 Author Orcid Image ;   Jingfang Liu2 Author Orcid Image ;   Jia Li3 Author Orcid Image ;   Pengzhu Zhang4 Author Orcid Image

Journals

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  2. Bloom R, Reblin M, Chou W, Beck S, Wilson A, Ellington L. Online social support for cancer caregivers: alignment between requests and offers on CaringBridge. Journal of Psychosocial Oncology 2021;39(1):118 View
  3. Spanhol-Finocchio C, de Freitas Dewes M, de Vargas Mores G, Dewes H. Text Mining of United States Obesity-Related Public Policies: Systematic Document Search. JMIR Public Health and Surveillance 2020;6(3):e13235 View
  4. Zhou J, Liu F, Zhou T. Exploring the Factors Influencing Consumers to Voluntarily Reward Free Health Service Contributors in Online Health Communities: Empirical Study. Journal of Medical Internet Research 2020;22(4):e16526 View
  5. Bloom R, Beck S, Chou W, Reblin M, Ellington L. In Their Own Words: Experiences of Caregivers of Adults With Cancer as Expressed on Social Media. Oncology Nursing Forum 2019;46(5):617 View
  6. Bi Q, Shen L, Evans R, Zhang Z, Wang S, Dai W, Liu C. Determining the Topic Evolution and Sentiment Polarity for Albinism in a Chinese Online Health Community: Machine Learning and Social Network Analysis. JMIR Medical Informatics 2020;8(5):e17813 View
  7. Zolnoori M, Balls-Berry J, Brockman T, Patten C, Huang M, Yao L. A Systematic Framework for Analyzing Patient-Generated Narrative Data: Protocol for a Content Analysis. JMIR Research Protocols 2019;8(8):13914 View
  8. Kumar C, Babu L. Evolving dictionary based sentiment scoring framework for patient authored text. Evolutionary Intelligence 2021;14(2):657 View
  9. Lucero R, Frimpong J, Fehlberg E, Bjarnadottir R, Weaver M, Cook C, Modave F, Rathore M, Morano J, Ibanez G, Cook R. The Relationship Between Individual Characteristics and Interest in Using a Mobile Phone App for HIV Self-Management: Observational Cohort Study of People Living With HIV. JMIR mHealth and uHealth 2017;5(7):e100 View
  10. Williams D, Nolan T, Chiu Y, Ricks L, Camata S, Craft B, Meneses K. A Partnership in Health-Related Social Media for Young Breast Cancer Survivors. Health Promotion Practice 2020;21(2):219 View
  11. Jansen R, Reid M. Interest in Communication Technology by Rural Caregivers of Adolescents with Mental Health Issues in South Africa: The Mmogo-Method®. Issues in Mental Health Nursing 2021;42(1):24 View
  12. Cho H, Silver N, Na K, Adams D, Luong K, Song C. Visual Cancer Communication on Social Media: An Examination of Content and Effects of #Melanomasucks. Journal of Medical Internet Research 2018;20(9):e10501 View
  13. Zhang Y. How Doctors Do Things with Empathy in Online Medical Consultations in China: A Discourse-analytic Approach. Health Communication 2021;36(7):816 View
  14. Dreisbach C, Koleck T, Bourne P, Bakken S. A systematic review of natural language processing and text mining of symptoms from electronic patient-authored text data. International Journal of Medical Informatics 2019;125:37 View
  15. Litchman M, Walker H, Ng A, Wawrzynski S, Oser S, Greenwood D, Gee P, Lackey M, Oser T. State of the Science: A Scoping Review and Gap Analysis of Diabetes Online Communities. Journal of Diabetes Science and Technology 2019;13(3):466 View
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  17. Lu X, Zhang R. Impact of Physician-Patient Communication in Online Health Communities on Patient Compliance: Cross-Sectional Questionnaire Study. Journal of Medical Internet Research 2019;21(5):e12891 View
  18. Zunic A, Corcoran P, Spasic I. Sentiment Analysis in Health and Well-Being: Systematic Review. JMIR Medical Informatics 2020;8(1):e16023 View
  19. Dumas A, Lapointe A, Desroches S. Users, Uses, and Effects of Social Media in Dietetic Practice: Scoping Review of the Quantitative and Qualitative Evidence. Journal of Medical Internet Research 2018;20(2):e55 View
  20. Li J, Liu M, Li X, Liu X, Liu J. Developing Embedded Taxonomy and Mining Patients’ Interests From Web-Based Physician Reviews: Mixed-Methods Approach. Journal of Medical Internet Research 2018;20(8):e254 View
  21. Zhou M. Public opinion on MOOCs: sentiment and content analyses of Chinese microblogging data. Behaviour & Information Technology 2022;41(2):365 View
  22. Enyinda C, Ogbuehi A, Mbah C. Building pharmaceutical relationship marketing and social media impact. International Journal of Pharmaceutical and Healthcare Marketing 2018;12(2):198 View
  23. Chen S, Liu C, Wang Z, McAdam R, Brennan M, Davey S, Cheng T. How Geographical Isolation and Aging in Place Can Be Accommodated Through Connected Health Stakeholder Management: Qualitative Study With Focus Groups. Journal of Medical Internet Research 2020;22(5):e15976 View
  24. Addagarla S, Amalanathan A. Probabilistic Unsupervised Machine Learning Approach for a Similar Image Recommender System for E-Commerce. Symmetry 2020;12(11):1783 View
  25. Lu X, Zhang R. Association Between eHealth Literacy in Online Health Communities and Patient Adherence: Cross-sectional Questionnaire Study. Journal of Medical Internet Research 2021;23(9):e14908 View
  26. Ma D, Zuo M, Liu L. The Information Needs of Chinese Family members of Cancer Patients in the Online Health Community: What and Why?. Information Processing & Management 2021;58(3):102517 View
  27. Karajeh O, Darweesh D, Darwish O, Abu-El-Rub N, Alsinglawi B, Alsaedi N. A Classifier to Detect Informational vs. Non-Informational Heart Attack Tweets. Future Internet 2021;13(1):19 View
  28. Levonian Z, Dow M, Erikson D, Ghosh S, Miller Hillberg H, Narayanan S, Terveen L, Yarosh S. Patterns of Patient and Caregiver Mutual Support Connections in an Online Health Community. Proceedings of the ACM on Human-Computer Interaction 2021;4(CSCW3):1 View
  29. Kamalpour M, Rezaei Aghdam A, Watson J, Tariq A, Buys L, Eden R, Rehan S. Online health communities, contributions to caregivers and resilience of older adults. Health & Social Care in the Community 2021;29(2):328 View
  30. Dehdarirad T, Freer J. Is there alignment amongst scientific literature, news media and patient forums regarding topics?: A study of breast and lung cancer. Online Information Review 2021;45(5):983 View
  31. Xun H, He W, Chen J, Sylvester S, Lerman S, Caffrey J. Characterization and Comparison of the Utilization of Facebook Groups Between Public Medical Professionals and Technical Communities to Facilitate Idea Sharing and Crowdsourcing During the COVID-19 Pandemic: Cross-sectional Observational Study. JMIR Formative Research 2021;5(4):e22983 View
  32. Yoon S, Wee S, Lee V, Lin J, Thumboo J. Patterns of use and perceived value of social media for population health among population health stakeholders: a cross-sectional web-based survey. BMC Public Health 2021;21(1) View
  33. Zhang X, Zhang R. Impact of Physicians’ Competence and Warmth on Chronic Patients’ Intention to Use Online Health Communities. Healthcare 2021;9(8):957 View
  34. Lee S, Ma S, Meng J, Zhuang J, Peng T. Detecting Sentiment toward Emerging Infectious Diseases on Social Media: A Validity Evaluation of Dictionary-Based Sentiment Analysis. International Journal of Environmental Research and Public Health 2022;19(11):6759 View
  35. Singhal A, Baxi M, Mago V. Synergy Between Public and Private Health Care Organizations During COVID-19 on Twitter: Sentiment and Engagement Analysis Using Forecasting Models. JMIR Medical Informatics 2022;10(8):e37829 View
  36. Eitan T, Gazit T. Leader behaviors in Facebook support groups: An exploratory study. Current Psychology 2023;42(12):9691 View
  37. Papoutsaki A, So S, Kenderova G, Shapiro B, Epstein D. Understanding Delivery of Collectively Built Protocols in an Online Health Community for Discontinuation of Psychiatric Drugs. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW2):1 View
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  39. 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
  40. Allen C, Andersen B, Khoury M, Roberts M. Current Social Media Conversations about Genetics and Genomics in Health: A Twitter-Based Analysis. Public Health Genomics 2018;21(1-2):93 View
  41. Gong W, Guo Q. Framing Public Opinion on Physician-Patient Conflicts on Microblog: A Comparative Content Analysis. Frontiers in Public Health 2022;10 View
  42. Chen J, Li X. Doctors ranking through heterogeneous information: The new score functions considering patients’ emotional intensity. Expert Systems with Applications 2023;219:119620 View
  43. Xie Y, Xiang F. An improved approach based on dynamic mixed sampling and transfer learning for topic recognition: a case study on online patient reviews. Online Information Review 2022;46(6):1017 View
  44. Gao H, Lu S, Kou X. Research on the identification of medical service quality factors: based on a data-driven method. Internet Research 2022;32(5):1617 View
  45. Zhao Y, Chen K, Peng J, Wang J, Song N. Diverse needs and cooperative deeds: Comprehending users’ identities in online health communities. Information Processing & Management 2022;59(5):103060 View
  46. 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
  47. Lu Y, Wang Q. Doctors’ Preferences in the Selection of Patients in Online Medical Consultations: An Empirical Study with Doctor–Patient Consultation Data. Healthcare 2022;10(8):1435 View
  48. Le L, Hoang P, Pham H. Sharing health information across online platforms: A systematic review. Health Communication 2023;38(8):1550 View
  49. Zhou Y, Li X, Wang X, Yuen K. Intelligent container shipping sustainability disclosure via stakeholder sentiment views on social media. Marine Policy 2022;135:104853 View
  50. Omranian S, Zolnoori M, Huang M, Campos-Castillo C, McRoy S. Predicting Patient Satisfaction With Medications for Treating Opioid Use Disorder: Case Study Applying Natural Language Processing to Reviews of Methadone and Buprenorphine/Naloxone on Health-Related Social Media. JMIR Infodemiology 2023;3:e37207 View
  51. Mao S, Zhang L, Guan Z. An LSTM&Topic-CNN Model for Classification of Online Chinese Medical Questions. IEEE Access 2021;9:52580 View
  52. Liu H, Zhang Y, Li Y, Albright K. Better interaction performance attracts more chronic patients? Evidence from an online health platform. Information Processing & Management 2023;60(4):103413 View
  53. 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
  54. Wang P, Cao B, Ma T, Wang B, Zhang Q, Zheng P. DUHI: Dynamically updated hash index clustering method for DNA storage. Computers in Biology and Medicine 2023;164:107244 View
  55. Singhal A, Mago V. Exploring How Healthcare Organizations Use Twitter: A Discourse Analysis. Informatics 2023;10(3):65 View
  56. Xu Q, Zhou Y, Liao B, Xin Z, Xie W, Hu C, Luo A. Named Entity Recognition of Diabetes Online Health Community Data Using Multiple Machine Learning Models. Bioengineering 2023;10(6):659 View
  57. Lu Y, Wang X, Su L, Zhao H. Multiplex Social Network Analysis to Understand the Social Engagement of Patients in Online Health Communities. Mathematics 2023;11(21):4412 View
  58. Alnashwan R, O’Riordan A, Sorensen H. Multiple-Perspective Data-Driven Analysis of Online Health Communities. Healthcare 2023;11(20):2723 View
  59. Hu Z, Ma H, Xiong J, Gao P, Divakaran P. Convergence or Divergence: A Computational Text Analysis of Stakeholder Concerns on Manufacturing Upgrading in China. IEEE Transactions on Engineering Management 2024;71:1285 View
  60. Liu J, Zeng Y. Exploring user interaction patterns in an online physician interactive community based on exponential random graph models. Humanities and Social Sciences Communications 2024;11(1) View
  61. Nie L, Xu J, Wang R, Tilga H. Health information needs and feedback of users in the online TCM community. PLOS ONE 2024;19(3):e0301536 View
  62. Roberts-Lewis S, Baxter H, Mein G, Quirke-McFarlane S, Leggat F, Garner H, Powell M, White S, Bearne L. Examining the Effectiveness of Social Media for the Dissemination of Research Evidence for Health and Social Care Practitioners: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e51418 View
  63. Chen K, Zhao Y, Song N, Han Y, Peng J, Wang J. You are not alone: Characterizing users' relationship‐layer identities in online health communities. Journal of the Association for Information Science and Technology 2024;75(7):807 View

Books/Policy Documents

  1. Mascii L, Luschi A, Iadanza E. CMBEBIH 2021. View
  2. . Persona Studies. View