ArticleJournal of medical Internet research2020
Superusers' Engagement in Asthma Online Communities: Asynchronous Web-Based Interview Study.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Social Media Use for Health Purposes: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Insights and Recommendations From Moderators and Community Members for Keeping Online Peer Support Safe: Thematic Analysis.Journal of medical Internet research · 2026Article
- Reddit and rare diseases: what myositis communities tell us about support and struggle.Oxford open digital health · 2026Article
- Article
- Moderators' Experiences of the Safety and Effectiveness of Patient Engagement in an Asthma Online Health Community: Exploratory Qualitative Interview Study.Journal of medical Internet research · 2025Article
- Understanding the Engagement and Interaction of Superusers and Regular Users in UK Respiratory Online Health Communities: Deep Learning-Based Sentiment Analysis.Journal of medical Internet research · 2025Article
- Development of the face-to-face component and recruitment strategy of a primary care digital social intervention for patients with asthma: Qualitative focus groups and interviews with stakeholders.The European journal of general practice · 2024Article
- Ethical and Information Governance Considerations for Promoting Digital Social Interventions in Primary Care.Journal of medical Internet research · 2023Article
- Experiences of Diagnosis, Symptoms, and Use of Reliever Inhalers in Patients With Asthma and Concurrent Inducible Laryngeal Obstruction or Breathing Pattern Disorder: Qualitative Analysis of a UK Asthma Online Community.Journal of medical Internet research · 2023Article
- Article
- Online health community for change: Analysis of self-disclosure and social networks of users with depression.Frontiers in psychology · 2023Article
- Experiences of exercise in patients with asthma: a qualitative analysis of discussions in a UK asthma online community.BJGP open · 2022Article
- Insights into how Malaysian adults with limited health literacy self-manage and live with asthma: A Photovoice qualitative study.Health expectations : an international journal of public participation in health care and health policy · 2022Article
- Barriers to implementing asthma self-management in Malaysian primary care: qualitative study exploring the perspectives of healthcare professionals.NPJ primary care respiratory medicine · 2021Article
- Understanding the Influences Behind Parents' Asthma Decision-Making: A Qualitative Exploration of the Asthma Network of Parents with Children with Asthma.Pulmonary therapy · 2021Article
- Article
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundSuperusers, defined as the 1% of users who write a large number of posts, play critical roles in online health communities (OHCs), catalyzing engagement and influencing other users' self-care. Their unique online behavior is key to sustaining activity in OHCs and making them flourish. Our previous work showed the presence of 20 to 30 superusers active on a weekly basis among 3345 users in the nationwide Asthma UK OHC and that the community would disintegrate if superusers were removed. Recruiting these highly skilled individuals for research purposes can be challenging, and little is known about superusers.
objectiveThis study aimed to explore superusers' motivation to actively engage in OHCs, the difficulties they may face, and their interactions with health care professionals (HCPs).
methodsAn asynchronous web-based structured interview study was conducted. Superusers of the Asthma UK OHC and Facebook groups were recruited through Asthma UK staff to pilot and subsequently complete the questionnaire. Open-ended questions were analyzed using content analysis.
resultsThere were 17 superusers recruited for the study (14 patients with asthma and 3 carers); the majority were female (15/17). The age range of participants was 18 to 75 years. They were active in OHCs for 1 to 6 years and spent between 1 and 20 hours per week reading and 1 and 3 hours per week writing posts. Superusers' participation in OHCs was prompted by curiosity about asthma and its medical treatment and by the availability of spare time when they were off work due to asthma exacerbations or retired. Their engagement increased over time as participants furthered their familiarity with the OHCs and their knowledge of asthma and its self-management. Financial or social recognition of the superuser role was not important; their reward came from helping and interacting with others. According to the replies provided, they showed careful judgment to distinguish what can be dealt with through peer advice and what needs input from HCPs. Difficulties were encountered when dealing with misunderstandings about asthma and its treatment, patients not seeking advice from HCPs when needed, and miracle cures or dangerous ideas. Out of 17 participants, only 3 stated that their HCPs were aware of their engagement with OHCs. All superusers thought that HCPs should direct patients to OHCs, provided they are trusted and moderated. In addition, 9 users felt that HCPs themselves should take part in OHCs.
conclusionsSuperusers from a UK-wide online community are highly motivated, altruistic, and mostly female individuals who exhibit judgment about the complexity of coping with asthma and the limits of their advice. Engagement with OHCs satisfies their psychosocial needs. Future research should explore how to address their unmet needs, their interactions with HCPs, and the potential integration of OHCs in traditional healthcare.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.