Published on in Vol 16, No 4 (2014): April

User-Generated Online Health Content: A Survey of Internet Users in the United Kingdom

User-Generated Online Health Content: A Survey of Internet Users in the United Kingdom

User-Generated Online Health Content: A Survey of Internet Users in the United Kingdom

Journals

  1. Benetoli A, Chen T, Aslani P. Consumer Health-Related Activities on Social Media: Exploratory Study. Journal of Medical Internet Research 2017;19(10):e352 View
  2. Laukka E, Rantakokko P, Suhonen M. Consumer-led health-related online sources and their impact on consumers: An integrative review of the literature. Health Informatics Journal 2019;25(2):247 View
  3. Southall K, Jennings M, Gagné J, Young J. Reported benefits of peer support group involvement by adults with hearing loss. International Journal of Audiology 2019;58(1):29 View
  4. Lupiáñez-Villanueva F, Anastasiadou D, Codagnone C, Nuño-Solinís R, Garcia-Zapirain Soto M. Electronic Health Use in the European Union and the Effect of Multimorbidity: Cross-Sectional Survey. Journal of Medical Internet Research 2018;20(5):e165 View
  5. Stearns M, Nambiar S, Nikolaev A, Semenov A, McIntosh S. Towards evaluating and enhancing the reach of online health forums for smoking cessation. Network Modeling Analysis in Health Informatics and Bioinformatics 2014;3(1) View
  6. Geryk L, Blalock S, DeVellis R, Jordan J, Han P, Carpenter D. Medication-related Self-management Behaviors among Arthritis Patients: Does Attentional Coping Style Matter?. The Open Rheumatology Journal 2016;10(1):60 View
  7. Newhouse N, Lupiáñez-Villanueva F, Codagnone C, Atherton H. Patient Use of Email for Health Care Communication Purposes Across 14 European Countries: An Analysis of Users According to Demographic and Health-Related Factors. Journal of Medical Internet Research 2015;17(3):e58 View
  8. Gibson F, Hibbins S, Grew T, Morgan S, Pearce S, Stark D, Fern L. How young people describe the impact of living with and beyond a cancer diagnosis: feasibility of using social media as a research method. Psycho-Oncology 2016;25(11):1317 View
  9. McDonald D, Woodward-Kron R. Member roles and identities in online support groups: Perspectives from corpus and systemic functional linguistics. Discourse & Communication 2016;10(2):157 View
  10. Mou Y, Shen F. (Potential) patients like me: testing the effects of user-generated health content on social media. Chinese Journal of Communication 2018;11(2):186 View
  11. Fergie G, Hunt K, Hilton S. Social media as a space for support: Young adults' perspectives on producing and consuming user-generated content about diabetes and mental health. Social Science & Medicine 2016;170:46 View
  12. Andanda P. Ethical and legal governance of health-related research that use digital data from user-generated online health content. Information, Communication & Society 2020;23(8):1154 View
  13. Díaz-Martín A, Schmitz A, Yagüe Guillén M. Are Health e-Mavens the New Patient Influencers?. Frontiers in Psychology 2020;11 View
  14. Foufi V, Timakum T, Gaudet-Blavignac C, Lovis C, Song M. Mining of Textual Health Information from Reddit: Analysis of Chronic Diseases With Extracted Entities and Their Relations. Journal of Medical Internet Research 2019;21(6):e12876 View
  15. Gidwani R, Zulman D. Association Between Acute Medical Exacerbations and Consuming or Producing Web-Based Health Information: Analysis From Pew Survey Data. Journal of Medical Internet Research 2015;17(6):e145 View
  16. Crocamo C, Viviani M, Bartoli F, Carrà G, Pasi G. Detecting Binge Drinking and Alcohol-Related Risky Behaviours from Twitter’s Users: An Exploratory Content- and Topology-Based Analysis. International Journal of Environmental Research and Public Health 2020;17(5):1510 View
  17. van Mierlo T, Hyatt D, Ching A. Mapping Power Law Distributions in Digital Health Social Networks: Methods, Interpretations, and Practical Implications. Journal of Medical Internet Research 2015;17(6):e160 View
  18. Yang F, Lee A, Kuo S. Mining Health Social Media with Sentiment Analysis. Journal of Medical Systems 2016;40(11) View
  19. Shah A, Yan X, Tariq S, Ali M. What patients like or dislike in physicians: Analyzing drivers of patient satisfaction and dissatisfaction using a digital topic modeling approach. Information Processing & Management 2021;58(3):102516 View
  20. Liu X, Susarla A, Padman R. Ask Your Doctor to Prescribe a YouTube Video: An Augmented Intelligence Approach to Assess Understandability of YouTube Videos for Patient Education. SSRN Electronic Journal 2020 View
  21. Oktay L, Abuelgasim E, Abdelwahed A, Houbby N, Lampridou S, Normahani P, Peters N, Jaffer U. Factors Affecting Engagement in Web-Based Health Care Patient Information: Narrative Review of the Literature. Journal of Medical Internet Research 2021;23(9):e19896 View
  22. Forstnerič S, Fijačko N, Pajnkihar M, Štiglic G. Introducing eHealth solutions in Slovenia to gain time for health education: a case of electronic patient appointment scheduling. Pielegniarstwo XXI wieku / Nursing in the 21st Century 2018;17(1):5 View
  23. Guni A, Normahani P, Davies A, Jaffer U. Harnessing Machine Learning to Personalize Web-Based Health Care Content. Journal of Medical Internet Research 2021;23(10):e25497 View
  24. Jiang H, Castellanos A, Castillo A, Gomes P, Li J, VanderMeer D. Nurses’ Work Concerns and Disenchantment During the COVID-19 Pandemic: Machine Learning Analysis of Web-Based Discussions. JMIR Nursing 2023;6:e40676 View
  25. Coulson N, Buchanan H. The Role of Online Support Groups in Helping Individuals Affected by HIV and AIDS: Scoping Review of the Literature. Journal of Medical Internet Research 2022;24(7):e27648 View
  26. van Eenbergen M, Vromans R, Tick L, Vreugdenhil G, Krahmer E, Mols F, van de Poll-Franse L. Comparing Survivors of Cancer in Population-Based Samples With Those in Online Cancer Communities: Cross-sectional Questionnaire Study. JMIR Cancer 2022;8(1):e19379 View
  27. Timakum T, Xie Q, Lee S. Identifying mental health discussion topic in social media community: subreddit of bipolar disorder analysis. Frontiers in Research Metrics and Analytics 2023;8 View
  28. Dangi N. Prosumers and Sharing Economy in the Organic Food Value Chain. Journal of International Food & Agribusiness Marketing 2024;36(1):103 View

Books/Policy Documents

  1. Sillence E, Briggs P, Harris P. Web-Based Behavioral Therapies for Mental Disorders. View
  2. Chung C, Hsiao I. Social, Cultural, and Behavioral Modeling. View