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

Analyzing and Predicting User Participations in Online Health Communities: A Social Support Perspective

Analyzing and Predicting User Participations in Online Health Communities: A Social Support Perspective

Analyzing and Predicting User Participations in Online Health Communities: A Social Support Perspective

Authors of this article:

Xi Wang1 Author Orcid Image ;   Kang Zhao1, 2 Author Orcid Image ;   Nick Street1, 2 Author Orcid Image

Journals

  1. O'Leary K, Coulson N, Perez-Vallejos E, McAuley D. Towards understanding how individuals with inflammatory bowel disease use contemporary social media platforms for health-related discourse. Computers in Human Behavior 2020;112:106463 View
  2. Wang X, Zhao K, Zhou X, Street N. Predicting User Posting Activities in Online Health Communities with Deep Learning. ACM Transactions on Management Information Systems 2020;11(3):1 View
  3. Hulbert-Williams N, Beatty L, Dhillon H. Psychological support for patients with cancer: evidence review and suggestions for future directions. Current Opinion in Supportive & Palliative Care 2018;12(3):276 View
  4. Verberne S, Batenburg A, Sanders R, van Eenbergen M, Das E, Lambooij M. Analyzing Empowerment Processes Among Cancer Patients in an Online Community: A Text Mining Approach. JMIR Cancer 2019;5(1):e9887 View
  5. Sun B, Mao H, Yin C. Male and Female Users’ Differences in Online Technology Community Based on Text Mining. Frontiers in Psychology 2020;11 View
  6. Bryan M, Evans Y, Morishita C, Midamba N, Moreno M. Parental Perceptions of the Internet and Social Media as a Source of Pediatric Health Information. Academic Pediatrics 2020;20(1):31 View
  7. Abedin B, Milne D, Erfani E. Attraction, selection, and attrition in online health communities: Initial conversations and their association with subsequent activity levels. International Journal of Medical Informatics 2020;141:104216 View
  8. Chehade M, Yadav L, Kopansky-Giles D, Merolli M, Palmer E, Jayatilaka A, Slater H. Innovations to improve access to musculoskeletal care. Best Practice & Research Clinical Rheumatology 2020;34(5):101559 View
  9. Liu X, Jiang S, Sun M, Chi X. Examining Patterns of Information Exchange and Social Support in a Web-Based Health Community: Exponential Random Graph Models. Journal of Medical Internet Research 2020;22(9):e18062 View
  10. 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
  11. Atanasova S, Kamin T, Petrič G. The benefits and challenges of online professional-patient interaction: Comparing views between users and health professional moderators in an online health community. Computers in Human Behavior 2018;83:106 View
  12. Wang X, Zhao K, Cha S, Amato M, Cohn A, Pearson J, Papandonatos G, Graham A. Mining user-generated content in an online smoking cessation community to identify smoking status: A machine learning approach. Decision Support Systems 2019;116:26 View
  13. Lee Y, Kamen C, Margolies L, Boehmer U. Online health community experiences of sexual minority women with cancer. Journal of the American Medical Informatics Association 2019;26(8-9):759 View
  14. Shang L, Zuo M, Ma D, Yu Q. The Antecedents and Consequences of Health Care Professional–Patient Online Interactions: Systematic Review. Journal of Medical Internet Research 2019;21(9):e13940 View
  15. Wilkerson D, Brady E, Yi E, Bateman D. Friendsourcing Peer Support for Alzheimer’s Caregivers Using Facebook Social Media. Journal of Technology in Human Services 2018;36(2-3):105 View
  16. Lee H, Lee H, Kim Y, Kim S, Lee Y. Network Support Using Social Networking Services to Increase Exercise Adherence Among Korean-Chinese Middle-Aged Migrant Women: Mixed Methods Study. JMIR mHealth and uHealth 2020;8(11):e19159 View
  17. Gopalsamy R, Semenov A, Pasiliao E, McIntosh S, Nikolaev A. Engagement as a Driver of Growth of Online Health Forums: Observational Study. Journal of Medical Internet Research 2017;19(8):e304 View
  18. Berg M, Linden K, Adolfsson A, Sparud Lundin C, Ranerup A. Web-Based Intervention for Women With Type 1 Diabetes in Pregnancy and Early Motherhood: Critical Analysis of Adherence to Technological Elements and Study Design. Journal of Medical Internet Research 2018;20(5):e160 View
  19. Choi M, Kim S, Lee S, Kwon B, Yi J, Choo J, Huh J. Toward Predicting Social Support Needs in Online Health Social Networks. Journal of Medical Internet Research 2017;19(8):e272 View
  20. Hargreaves S, Bath P, Duffin S, Ellis J. Sharing and Empathy in Digital Spaces: Qualitative Study of Online Health Forums for Breast Cancer and Motor Neuron Disease (Amyotrophic Lateral Sclerosis). Journal of Medical Internet Research 2018;20(6):e222 View
  21. White B, Giglia R, Scott J, Burns S. How New and Expecting Fathers Engage With an App-Based Online Forum: Qualitative Analysis. JMIR mHealth and uHealth 2018;6(6):e144 View
  22. Rezaei Aghdam A, Watson J, Cliff C, Miah S. Improving the Theoretical Understanding Toward Patient-Driven Health Care Innovation Through Online Value Cocreation: Systematic Review. Journal of Medical Internet Research 2020;22(4):e16324 View
  23. Badreddine B, Blount Y. Understanding influential factors behind lurking behaviour in online cancer communities. Behaviour & Information Technology 2021;40(6):542 View
  24. Yang H, Gao H. Toward Sustainable Virtualized Healthcare: Extracting Medical Entities from Chinese Online Health Consultations Using Deep Neural Networks. Sustainability 2018;10(9):3292 View
  25. Park J, Liang M, Alpert J, Brown R, Zhong X. The Causal Relationship Between Portal Usage and Self-Efficacious Health Information–Seeking Behaviors: Secondary Analysis of the Health Information National Trends Survey Data. Journal of Medical Internet Research 2021;23(1):e17782 View
  26. Øvretveit J. Innovations in self care and close care made during COVID 19 pandemic: a narrative review. International Journal of Health Governance 2021;26(2):88 View
  27. Wang X, High A, Wang X, Zhao K. Predicting users' continued engagement in online health communities from the quantity and quality of received support. Journal of the Association for Information Science and Technology 2021;72(6):710 View
  28. Mirzaei T, Esmaeilzadeh P. Engagement in online health communities: Channel expansion and social exchanges. Information & Management 2021;58(1):103404 View
  29. Meng F, Zhang X, Liu L, Ren C. Converting readers to patients? From free to paid knowledge-sharing in online health communities. Information Processing & Management 2021;58(3):102490 View
  30. Chen Q, Jin J, Zhang T, Yan X. The Effects of Log-in Behaviors and Web Reviews on Patient Consultation in Online Health Communities: Longitudinal Study. Journal of Medical Internet Research 2021;23(6):e25367 View
  31. Allison K, Patterson P, Guilbert D, Noke M, Husson O. Logging On, Reaching Out, and Getting By. Proceedings of the ACM on Human-Computer Interaction 2021;5(CSCW1):1 View
  32. Shah A, Yan X, Qayyum A. Social Network Analysis of an Online Smoking Cessation Community to Identify Users’ Smoking Status. Healthcare Informatics Research 2021;27(2):116 View
  33. Chen Y, Xu Y. Exploring the Effect of Social Support and Empathy on User Engagement in Online Mental Health Communities. International Journal of Environmental Research and Public Health 2021;18(13):6855 View
  34. Boyce L, Harun A, Prybutok G, Prybutok V. Exploring the factors in information seeking behavior: a perspective from multinational COPD online forums. Health Promotion International 2022;37(2) View
  35. 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
  36. Da Moura Semedo C, Bath P, Zhang Z. Social Support in a Diabetes Online Community: Mixed Methods Content Analysis. JMIR Diabetes 2023;8:e41320 View
  37. Rueger J, Dolfsma W, Aalbers R. Mining and analysing online social networks: Studying the dynamics of digital peer support. MethodsX 2023;10:102005 View
  38. 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
  39. Yang H, Gao H. User recommendation in online health communities using adapted matrix factorization. Internet Research 2021;31(6):2190 View
  40. Liu M, Zou X, Chen J, Ma S. Comparative Analysis of Social Support in Online Health Communities Using a Word Co-Occurrence Network Analysis Approach. Entropy 2022;24(2):174 View
  41. Xie L, Roy-Fleming A, Haag S, Costa D, Brazeau A. Development of theSupportself-guided, web application for adults living with type 1 diabetes in Canada by a multi-disciplinary team using a people-oriented approach based on the Behaviour Change Wheel. DIGITAL HEALTH 2023;9:205520762311527 View
  42. Lei X, Wu H, Ye Q. Pregnant women's coping strategies, participation roles and social support in the online community during the COVID-19. Information Processing & Management 2022;59(3):102932 View
  43. Ohlendorf J, Anders L. Running as a way fat women re-story their bodies and construct a runner identity in a North American sociocultural context. Psychology of Sport and Exercise 2022;63:102278 View
  44. Garcia Martinez M, Bezos Daleske C, Benítez León Á, Lalanza Rodelgo S, Orive Espinosa R, Rubio López P, de Hoyos Aragoneses V. Empowering patients to co‐design Covid‐19 responses: the role of online health communities. R&D Management 2022;52(2):391 View
  45. James D, Kang P, McQueen D. African American Women's Willingness to Participate in Online Health Communities During COVID-19. Telemedicine and e-Health 2023;29(5):657 View
  46. Cohen J, Patterson P, Noke M, Clarke K, Husson O. Development and Evaluation of the Canteen Connect Online Health Community: Using a Participatory Design Approach in Meeting the Needs of Young People Impacted by Cancer. Cancers 2021;14(1):50 View
  47. Milios A, Xiong T, McEwan K, McGrath P. Personality, Attitudes, and Behaviors Predicting Perceived Benefit in Online Support Groups for Caregivers: Mixed Methods Study. JMIR Nursing 2022;5(1):e36167 View
  48. Wu B, Luo P, Li M, Hu X. The Impact of Health Information Privacy Concerns on Engagement and Payment Behaviors in Online Health Communities. Frontiers in Psychology 2022;13 View
  49. Alqassim M, Kresnye K, Siek K, Lee J, Wolters M. The miscarriage circle of care: towards leveraging online spaces for social support. BMC Women's Health 2022;22(1) View
  50. 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
  51. Wu P, Zhang R. Exploring the effects of health information seeking on e-satisfaction in online health communities: an empirical investigation. BMC Medical Informatics and Decision Making 2022;22(1) View
  52. Ma Y, Gu Y, Hong W, Ping Z, Liang C, Gu D. How COVID-19 Affects the Willingness of the Elderly to Continue to Use the Online Health Community. Journal of Organizational and End User Computing 2022;34(6):1 View
  53. Reynolds T, Zhang J, Zheng K, Chen Y. Unpacking the Use of Laboratory Test Results in an Online Health Community throughout the Medical Care Trajectory. Proceedings of the ACM on Human-Computer Interaction 2022;6(CSCW2):1 View
  54. Tseng H, Ibrahim F, Hajli N, Nisar T, Shabbir H. Effect of privacy concerns and engagement on social support behaviour in online health community platforms. Technological Forecasting and Social Change 2022;178:121592 View
  55. Wang X, Zuo Z, Tong X, Zhu Y. Talk more about yourself: a data-driven extended theory of reasoned action for online health communities. Information Technology and Management 2022 View
  56. Lu X. The Effects of Patient Health Information Seeking in Online Health Communities on Patient Compliance in China: Social Perspective. Journal of Medical Internet Research 2023;25:e38848 View
  57. Lee Y, Park A, Roberge M, Donovan H. What Can Social Media Tell Us About Patient Symptoms. Cancer Nursing 2022;45(1):E27 View
  58. Ma X, Zhang P, Meng F, Lai K. How does physicians' educational knowledge-sharing influence patients' engagement? An empirical examination in online health communities. Frontiers in Public Health 2022;10 View
  59. Zhao H, Wang J, Zhang H. Influence of social support on individual health knowledge adoption in online diabetes communities: the mediating role between cognition and emotion. Aslib Journal of Information Management 2022;74(6):1048 View
  60. Ansari B, Du S. Investigating User-Generated Content in an Online Drug Recovery Forum: Lessons for Successful Computer-Mediated Communication of Social Support. IEEE Journal of Biomedical and Health Informatics 2022;26(11):5695 View
  61. Xuan Y, Guo C, Lu W. The Effects of Information Continuity and Interpersonal Continuity on Physician Services Online: Cross-sectional Study. JMIR Medical Informatics 2022;10(7):e35830 View
  62. Brinberg M, Vanderbilt R, Solomon D, Brinberg D, Ram N. Using technology to unobtrusively observe relationship development. Journal of Social and Personal Relationships 2021;38(12):3429 View
  63. Shah A, Ali M, Qayyum A, Begum A, Han H, Ariza-Montes A, Araya-Castillo L. Exploring the Impact of Linguistic Signals Transmission on Patients’ Health Consultation Choice: Web Mining of Online Reviews. International Journal of Environmental Research and Public Health 2021;18(19):9969 View
  64. Liu X, Xu Z, Yu X, Oda T. Why should I consult? The impact of social support on patient consultation in online healthcare communities. Frontiers in Psychology 2022;13 View
  65. Schindler M, Domahidi E. The computational turn in online mental health research: A systematic review. New Media & Society 2023;25(10):2781 View
  66. Ming Y. Social support on Reddit for antiretroviral therapy. Data Technologies and Applications 2023;57(2):279 View
  67. Gordon D, Hensel J, Bouck Z, Desveaux L, Soobiah C, Saragosa M, Jeffs L, Bhatia S, Shaw J. Developing an explanatory theoretical model for engagement with a web-based mental health platform: results of a mixed methods study. BMC Psychiatry 2021;21(1) View
  68. Franklin K, Engstrand S, Thornton J, Connor J. #Healthcare. Dimensions of Critical Care Nursing 2022;41(2):83 View
  69. Chen X, Al-Worafi Y. Online health communities influence people’s health behaviors in the context of COVID-19. PLOS ONE 2023;18(4):e0282368 View
  70. Cao Z, Zheng J, Liu R. Factors Affecting Users’ Continuous Usage in Online Health Communities: An Integrated Framework of SCT and TPB. Healthcare 2023;11(9):1238 View
  71. Zhang Z, Mu H, Huang S. Playing to Save Sisters: How Female Gaming Communities Foster Social Support within Different Cultural Contexts. Journal of Broadcasting & Electronic Media 2023;67(5):693 View
  72. Wang X, Zhao K, Amato M, Stanton C, Shuter J, Graham A. The Role of Seed Users in Nurturing an Online Health Community for Smoking Cessation Among People With HIV/AIDS. Annals of Behavioral Medicine 2023 View
  73. Yang E, Kornfield R, Liu Y, Chih M, Sarma P, Gustafson D, Curtin J, Shah D. Using Machine Learning of Online Expression to Explain Recovery Trajectories: Content Analytic Approach to Studying a Substance Use Disorder Forum. Journal of Medical Internet Research 2023;25:e45589 View
  74. Pleasants E, Ryan J, Ren C, Prata N, Gomez A, Marshall C. Exploring Language Used in Posts on r/birthcontrol: Case Study Using Data From Reddit Posts and Natural Language Processing to Advance Contraception Research. Journal of Medical Internet Research 2023;25:e46342 View
  75. Meng F, Liu Y, Zhang X, Liu L. General knowledge-sharing and patient engagement in online health communities: an inverted U-shaped relationship. Journal of Knowledge Management 2024;28(3):763 View
  76. Xiang M, Guan T, Lin M, Xie Y, Luo X, Han M, Lv K. Configuration Path Study of Influencing Factors on Health Information-Sharing Behavior among Users of Online Health Communities: Based on SEM and fsQCA Methods. Healthcare 2023;11(12):1789 View
  77. 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
  78. Chen Z, Meng X, Wang C. The dark web privacy dilemma: linguistic diversity, talkativeness, and user engagement on the cryptomarket forums. Humanities and Social Sciences Communications 2023;10(1) View
  79. Li P, Wong S, Wang S, Chang Y. Continue staying in online health platforms or not: the moderating role of threat appraisal. Industrial Management & Data Systems 2024;124(1):361 View
  80. Zhang Z. Fight against hair loss together: exploring self-disclosure and social support in an online hair loss support community. Online Information Review 2024 View
  81. Martin-Vicario L, Martínez-Sánchez M, Nicolas-Sans R. Factors influencing perceived usefulness of a branded weight-loss app. British Food Journal 2024;126(4):1725 View
  82. Arif A, Chandwani R. Online social support exchange among medical travelers in South Asia: a content analysis of Facebook posts. Journal of Policy Research in Tourism, Leisure and Events 2024:1 View
  83. Xu J, Peng J. Value Co-creation Behavior in Online Health Communities: Analyzing Research Progress and Prospects Using CiteSpace. Journal of the Knowledge Economy 2024 View
  84. Boyce L, Harun A, Prybutok G, Prybutok V. The Role of Technology in Online Health Communities: A Study of Information-Seeking Behavior. Healthcare 2024;12(3):336 View
  85. 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
  86. He Z, Chen M. How online social support enhances individual resilience in the public health crisis: Testing a dual-process serial mediation model. Computers in Human Behavior 2024;158:108276 View
  87. Boyce L, Prybutok G, Prybutok V. Online groups show how technology supports healthcare needs for patients and families: an illustrative model for COPD facebook groups. Frontiers in Medical Engineering 2024;2 View
  88. Dubbelman J, Ooms J, Havgry L, Simonse L. Communal Load Sharing of Miscarriage Experiences: Thematic Analysis of Social Media Community Support (Preprint). Journal of Medical Internet Research 2024 View

Books/Policy Documents

  1. Li C. Well-Being in the Information Society. Fruits of Respect. View
  2. Zhu Y, Tong X, Fan D, Wang X. Smart Health. View
  3. Wang X, Zhu Y. Smart Health. View
  4. Chen Q, Yan X, Zhang T. Smart Health. View
  5. Döring N. Handbuch Online-Kommunikation. View
  6. Döring N. Handbuch Online-Kommunikation. View
  7. Wright K. The International Encyclopedia of Health Communication. View
  8. Ibrahim A, Sanda H, Abba-Aji N, Hassan M, Vi P. Encyclopedia of Data Science and Machine Learning. View
  9. Zhang Y, Wang X, Zuo Z, Fan D. E-Business. New Challenges and Opportunities for Digital-Enabled Intelligent Future. View