From perception to participation: how the sick role behaviour differs across treatment stages in diabetes online health communities.
Purpose: Online health communities (OHCs) have become essential platforms enabling patients to obtain social support while preserving anonymity. However, the influence of treatment stages on users' behaviour within OHCs remains underexplored. This study delved into user participation at different tr...
| Publicado en: | Electronic Library Vol. 43; no. 6; pp. 867 - 894 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Emerald Publishing Limited
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=189751369&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 189751369 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 02640473 2OJ jtl: Electronic Library issn: 02640473 maglogo: N pubinfo: dt: 2025 vid: 43 iid: 6 pid: 465 pub: Emerald Publishing Limited artinfo: ui: 189751369 189751369 189751369 10.1108/EL-01-2025-0026 189751369 ppf: 867 ppct: 27 formats: tig: atl: From perception to participation: how the sick role behaviour differs across treatment stages in diabetes online health communities. aug: au: Shi, Junyi Qiaerxian, Ayikumaer Chen, Kejun Song, Ningyuan Zhao, Yuehua affil: School of Information Management, Nanjing University, Nanjing, China sug: subj: Social Perception Social Participation Diabetes Mellitus Psychosocial Factors Sick Role Health Behavior Evaluation Patient Compliance Internet Funding Source Human Random Sample Logistic Regression Random Forest Boosting Machine Learning Algorithms Descriptive Statistics Sentiment Analysis Qualitative Studies ab: Purpose: Online health communities (OHCs) have become essential platforms enabling patients to obtain social support while preserving anonymity. However, the influence of treatment stages on users' behaviour within OHCs remains underexplored. This study delved into user participation at different treatment stages and the pivotal role of OHCs in providing support by integrating norms of sick role and community membership. Design/methodology/approach: Sweet Homeland, a Chinese diabetes online community, was used as a case study. This research identified distinct treatment stages based on user-generated content. Leveraging machine learning and deep learning models, the authors classified posts including "remission", "medicine" and "insulin". Subsequently, using topic modelling, sentiment analysis, grounded theory and sequential pattern mining, the authors discerned user-generated topics, emotional expressions and information behaviours. Findings: The findings illuminated the stage-specific differences in informational and emotional needs, as well as participation behaviours and interaction patterns among users. The authors also observed the phenomenon of emotional contagion within the community, which may underlie similar emotional changes. Originality/value: This study provides evidence for extending the sick role concept to chronic illnesses and online environments, and the role adoption of social relationships. The authors also offer practical advice for designing and maintaining online diabetes communities through personalised service. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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