A critical analysis of online social support for young people experiencing chronic pain

References

• Armstrong, R. (2008). The long tail: Why the future of business is selling less of more. Canadian Journal of Communication, 33(1), 127. https://doi.org/10.22230/cjc.2008v33n1a1946
   Google Scholar
• Bakke, A. (2019). Trust-building in a patient forum: The interplay of professional and personal expertise. Journal of Technical Writing and Communication, 49(2), 156–14. https://doi.org/10.1177/0047281618776222
   Google Scholar
• Barlett, C. P., Gentile, D. A., & Chew, C. (2016). Predicting cyberbullying from anonymity. Psychology of Popular Media Culture, 5(2), 171. https://doi.org/10.1037/ppm0000055
   Web of Science ®Google Scholar
• Becker, K. L. (2013). Cyberhugs: Creating a voice for chronic pain sufferers through technology. Cyberpsychology, Behavior and Social Networking, 16(2), 123–126. https://doi.org/10.1089/cyber.2012.0361
   PubMed Web of Science ®Google Scholar
• Bender, J. L., Jimenez-Marroquin, M. C., Ferris, L. E., Katz, J., & Jadad, A. R. (2013). Online communities for breast cancer survivors: A review and analysis of their characteristics and levels of use. Supportive Care in Cancer, 21(5), 1253–1263. https://doi.org/10.1007/s00520-012-1655-9
   PubMed Web of Science ®Google Scholar
• Borup, J., West, R. E., & Graham, C. R. (2012). Improving online social presence through asynchronous video. The Internet and Higher Education, 15(3), 195–203. https://doi.org/10.1016/j.iheduc.2011.11.001
   Web of Science ®Google Scholar
• Brown, E., & Gauntlett-Gilbert, J. (2021). Social media use in adolescent chronic pain. Pediatric Pain Letter, 23(1), 6–12.
   Google Scholar
• Chung, J. E. (2013). Social interaction in online support groups: Preference for online social interaction over offline social interaction. Computers in Human Behavior, 29(4), 1408–1414. https://doi.org/10.1016/j.chb.2013.01.019
   Web of Science ®Google Scholar
• El Morr, C., Maule, C., Ashfaq, I., Ritvo, P., & Ahmad, F. (2020). Design of a mindfulness virtual community: A focus-group analysis. Health Informatics Journal, 26(3), 1560–1576. https://doi.org/10.1177/1460458219884840
   PubMed Web of Science ®Google Scholar
• eSafety Commissioner. (2021, February). The digital lives of Aussie teens. eSafety. https://www.esafety.gov.au/sites/default/files/2021-02/The%20digital%20lives%20of%20Aussie%20teens.pdf
   Google Scholar
• Fales, J. L., Rice, S., Aaron, R. V., & Palermo, T. M. (2018). Traditional and cyber-victimization among adolescents with and without chronic pain. Health Psychology, 37(3), 291. https://doi.org/10.1037/hea0000569
   PubMed Web of Science ®Google Scholar
• Feng, B., Li, S., & Li, N. (2013). Is a profile worth a thousand words? How online support-seeker’s profile features may influence the quality of received support messages. Communication Research, 43(2), 253–276. https://doi.org/10.1177/0093650213510942
   Google Scholar
• Forgeron, P. A., Evans, J., McGrath, P. J., Stevens, B., & Finley, G. A. (2013). Living with difference: Exploring the social self of adolescents with chronic pain. Pain Research & Management, 18(6), e115–123. https://doi.org/10.1155/2013/120632
   PubMed Web of Science ®Google Scholar
• Forgeron, P. A., McKenzie, E., O’Reilly, J., Rudnicki, E., & Caes, L. (2019). Support for my video is support for me: A YouTube scoping review of videos including adolescents with chronic pain. The Clinical Journal of Pain, 35(5), 443–450. https://doi.org/10.1097/AJP.0000000000000693
   PubMed Web of Science ®Google Scholar
• Fox, F. E., Morris, M., & Rumsey, N. (2007). Doing synchronous online focus groups with young people: Methodological reflections. Qualitative Health Research, 17(4), 539–547. https://doi.org/10.1177/1049732306298754
   PubMed Web of Science ®Google Scholar
• Groenewald, C. B., Essner, B. S., Wright, D., Fesinmeyer, M. D., & Palermo, T. M. (2014). The economic costs of chronic pain among a cohort of treatment-seeking adolescents in the United States. The Journal of Pain, 15(9), 925–933. https://doi.org/10.1016/j.jpain.2014.06.002
   PubMed Web of Science ®Google Scholar
• Henderson, E. M., & Eccleston, C. (2015). An online adolescent message board discussion about the internet: Use for pain. Journal of Child Health Care, 19(3), 412–418. https://doi.org/10.1177/1367493513509420
   PubMed Web of Science ®Google Scholar
• Henderson, E. M., Keogh, E., & Eccleston, C. (2014). Why go online when you have pain? A qualitative analysis of teenagers’ use of the internet for pain management advice. Child: Care, Health and Development, 40(4), 572–579. https://doi.org/10.1111/cch.12072
   PubMed Web of Science ®Google Scholar
• Henderson, E. M., Rosser, B. A., Keogh, E., & Eccleston, C. (2012). Internet sites offering adolescents help with headache, abdominal pain, and dysmenorrhoea: A description of content, quality, and peer interactions. Journal of Pediatric Psychology, 37(3), 262–271. https://doi.org/10.1093/jpepsy/jsr100
   PubMed Web of Science ®Google Scholar
• Ho, I. K., Goldschneider, K. R., Kashikar-Zuck, S., Kotagal, U., Tessman, C., & Jones, B. (2008). Healthcare utilization and indirect burden among families of pediatric patients with chronic pain. Journal of Musculoskeletal Pain, 16(3), 155–164. https://doi.org/10.1080/10582450802161853
   Web of Science ®Google Scholar
• Ho, Y. X., O’Connor, B. H., & Mulvaney, S. A. (2014). Features of online health communities for adolescents with type 1 diabetes. Western Journal Nursing Research, 36(9), 1183–1198. https://doi.org/10.1177/0193945913520414
   PubMed Web of Science ®Google Scholar
• Jaeger, P. T., & Xie, B. (2009). Developing online community accessibility guidelines for persons with disabilities and older adults. Journal of Disability Policy Studies, 20(1), 55–63. https://doi.org/10.1177/1044207308325997
   Google Scholar
• Kaicker, J., Debono, V. B., Dang, W., Buckley, N., & Thabane, L. (2010). Assessment of the quality and variability of health information on chronic pain websites using the DISCERN instrument. BMC Medicine, 8(1), 1–8. https://doi.org/10.1186/1741-7015-8-59
   PubMedGoogle Scholar
• Kohut, S. A., Stinson, J. N., Ruskin, D., Forgeron, P., Harris, L., van Wyk, M., Luca, S., & Campbell, F. (2016). iPeer2Peer program: A pilot feasibility study in adolescents with chronic pain. Pain, 157(5), 1146–1155. https://doi.org/10.1097/j.pain.0000000000000496
   PubMed Web of Science ®Google Scholar
• Kreuter, M. W., Hovmand, P., Pfeiffer, D. J., Fairchild, M., Rath, S., Golla, B., & Casey, C. (2014). The “Long Tail” and public health: New thinking for addressing health disparities. American Journal of Public Health, 104(12), 2271–2278. https://doi.org/10.2105/AJPH.2014.302039
   PubMed Web of Science ®Google Scholar
• Lindsay, S., Smith, S., Bellaby, P., & Baker, R. (2009). The health impact of an online heart disease support group: A comparison of moderated versus unmoderated support. Health Education Research, 24(4), 646–654. https://doi.org/10.1093/her/cyp001
   PubMed Web of Science ®Google Scholar
• McCabe, M. P., Ebacioni, K. J., Simmons, R., McDonald, E., & Melton, L. (2015). Unmet education, psychological and peer support needs of people with multiple sclerosis. Journal of Psychosomatic Research, 78(1), 82–87. https://doi.org/10.1016/j.jpsychores.2014.05.010
   PubMed Web of Science ®Google Scholar
• McGorry, P., Bates, T., & Birchwood, M. (2013). Designing youth mental health services for the 21st century: Examples from Australia, Ireland and the UK. British Journal of Psychiatry, 202(s54), s30–35. https://doi.org/10.1192/bjp.bp.112.119214
   Google Scholar
• Ng, E. W., & Detenber, B. H. (2005). The impact of synchronicity and civility in online political discussions on perceptions and intentions to participate. Journal of Computer-Mediated Communication, 10(3), JCMC1033. https://doi.org/10.1111/j.1083-6101.2005.tb00252.x
   Web of Science ®Google Scholar
• Nowak, K. L., Watt, J., & Walther, J. B. (2005). The influence of synchrony and sensory modality on the person perception process in computer-mediated groups. Journal of Computer-Mediated Communication, 10(3), JCMC1038. https://doi.org/10.1111/j.1083-6101.2005.tb00251.x
   Web of Science ®Google Scholar
• Omernick, E., & Sood, S. O. (2013, September). The impact of anonymity in online communities. 2013 International Conference on Social Computing (pp.526–535), Washington, DC, United States.
   Google Scholar
• Palermo, T. M., Valrie, C. R., & Karlson, C. W. (2014). Family and parent influences on pediatric chronic pain: A developmental perspective. The American Psychologist, 69(2), 142–152. https://doi.org/10.1037/a0035216
   PubMed Web of Science ®Google Scholar
• Preece, J., & Maloney-Krichmar, D. (2005). Online communities: Design, theory, and practice. Journal of Computer-Mediated Communication, 10(4), JCMC10410. https://doi.org/10.1111/j.1083-6101.2005.tb00264.x
   Web of Science ®Google Scholar
• Sällfors, C., Fasth, A., & Hallberg, L. M. (2002). Oscillating between hope and despair—A qualitative study. Child: Care, Health and Development, 28(6), 495–505. https://doi.org/10.1046/j.1365-2214.2002.00300.x
   PubMed Web of Science ®Google Scholar
• Statcounter. (2021, August). Globalstat search engine market share. https://gs.statcounter.com/search-engine-market-share
   Google Scholar
• Stinson, J. N., Lalloo, C., Harris, L., Isaac, L., Campbell, F., Brown, S., Ruskin, D., Gordon, A., Galonski, M., Pink, L. R., Buckley, N., Henry, J. L., White, M., & Karim, A. (2014). iCanCope with pain ™: User-centred design of a web- and mobile-based self-management program for youth with chronic pain based on identified health care needs. Pain Research & Management, 19(5), 257–265. https://doi.org/10.1155/2014/935278
   PubMed Web of Science ®Google Scholar
• Sun, N., Rau, P. P. L., & Ma, L. (2014). Understanding lurkers in online communities: A literature review. Computers in Human Behavior, 38, 110–117. https://doi.org/10.1016/j.chb.2014.05.022
   Web of Science ®Google Scholar
• Thoits, P. A. (2011). Mechanisms linking social ties and support to physical and mental health. Journal of Health & Social Behavior, 52(2), 145–161. https://doi.org/10.1177/0022146510395592
   PubMed Web of Science ®Google Scholar
• Tolley, J. A., Michel, M. A., Williams, A. E., & Renschler, J. S. (2020). Peer support in the treatment of chronic pain in adolescents: A review of the literature and available resources. Children (Basel), 7(9), 129. https://doi.org/10.3390/children7090129
   PubMed Web of Science ®Google Scholar
• Underwood, M. K., & Ehrenreich, S. E. (2017). The power and the pain of adolescents’ digital communication: Cyber victimization and the perils of lurking. The American Psychologist, 72(2), 144. https://doi.org/10.1037/a0040429
   PubMed Web of Science ®Google Scholar
• White, M., & Dorman, S. M. (2001). Receiving social support online: Implications for health education. Health Education Research, 16(6), 693–707. https://doi.org/10.1093/her/16.6.693
   PubMed Web of Science ®Google Scholar
• Wise, K., Hamman, B., & Thorson, K. (2006). Moderation, response rate, and message interactivity: Features of online communities and their effects on intent to participate. Journal of Computer-Mediated Communication, 12(1), 24–41. https://doi.org/10.1111/j.1083-6101.2006.00313.x
   Web of Science ®Google Scholar
• World Health Organization. (2020). Guidelines on the management of chronic pain in children.
   Google Scholar
• Wright, K. B. (2016). Communication in health-related online social support groups/communities: A review of research on predictors of participation, applications of social support theory, and health outcomes. Review of Communication Research, 4, 65–87. https://doi.org/10.12840/issn.2255-4165.2016.04.01.010
   Web of Science ®Google Scholar
• Zimmermann, M., & Jucks, R. (2018). How experts’ use of medical technical jargon in different types of online health forums affects perceived information credibility: Randomized experiment with laypersons. Journal of Medical Internet Research, 20(1), e30. https://doi.org/10.2196/jmir.8346
   PubMed Web of Science ®Google Scholar