ArticleJournal of medical Internet research2016
In Pursuit of Theoretical Ground in Behavior Change Support Systems: Analysis of Peer-to-Peer Communication in a Health-Related Online Community.
Article in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 51 citations in OpenAlex.
- Behavioural interventions delivered through interactive social media for health behaviour change, health outcomes, and health equity in the adult population.The Cochrane database of systematic reviews · 2021Pooled it
- Digital technology to support lifestyle and health behaviour changes in surgical patients: systematic review.BJS open · 2021Pooled it
- Content matters, context matters: unraveling behavior dynamics in an online health community for tobacco cessation.JAMIA open · 2026Article
- Toward Personalized Digital Experiences to Promote Diabetes Self-Management: Mixed Methods Social Computing Approach.JMIR diabetes · 2025Article
- How Do Adolescent Smoking Prevention Interventions Work in Different Contextual Settings? A Qualitative Comparative Study Between the UK and Colombia.International journal of behavioral medicine · 2024Article
- Discerning conversational context in online health communities for personalized digital behavior change solutions using Pragmatics to Reveal Intent in Social Media (PRISM) framework.Journal of biomedical informatics · 2023Article
- Words for the hearts: a corpus study of metaphors in online depression communities.Frontiers in psychology · 2023Article
- Online health community for change: Analysis of self-disclosure and social networks of users with depression.Frontiers in psychology · 2023Article
- Digital Phenotyping in Health Using Machine Learning Approaches: Scoping Review.JMIR bioinformatics and biotechnology · 2022Article
- Pragmatics to Reveal Intent in Social Media Peer Interactions: Mixed Methods Study.Journal of medical Internet research · 2021Article
- Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review.JMIR public health and surveillance · 2020Review
- Diabetes Self-Management in the Age of Social Media: Large-Scale Analysis of Peer Interactions Using Semiautomated Methods.JMIR medical informatics · 2020Article
- Improving cancer survivors' e-health literacy via online health communities (OHCs): a social support perspective.Journal of cancer survivorship : research and practice · 2020Article
- 'Just Drive': An Employee-Based Intervention to Reduce Distracted Driving.Journal of community health · 2020Article
- Characterization of Behavioral Transitions Through Social Media Analysis: A Mixed-Methods Approach.Studies in health technology and informatics · 2019Article
- Exposure to positive peer sentiment about nicotine replacement therapy in an online smoking cessation community is associated with NRT use.Addictive behaviors · 2018Article
- The State of Digital Interventions for Demand Generation in Low- and Middle-Income Countries: Considerations, Emerging Approaches, and Research Gaps.Global health, science and practice · 2018Review
- Content-Sensitive Characterization of Peer Interactions of Highly Engaged Users in an Online Community for Smoking Cessation: Mixed-Methods Approach for Modeling User Engagement in Health Promotion Interventions.Journal of participatory medicine · 2018Article
- Patient Continued Use of Online Health Care Communities: Web Mining of Patient-Doctor Communication.Journal of medical Internet research · 2018Article
- PROTOCOL: Interactive social media interventions for health behaviour change, health outcomes, and health equity in the adult population.Campbell systematic reviews · 2018Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundResearch studies involving health-related online communities have focused on examining network structure to understand mechanisms underlying behavior change. Content analysis of the messages exchanged in these communities has been limited to the "social support" perspective. However, existing behavior change theories suggest that message content plays a prominent role reflecting several sociocognitive factors that affect an individual's efforts to make a lifestyle change. An understanding of these factors is imperative to identify and harness the mechanisms of behavior change in the Health 2.0 era.
objectiveThe objective of this work is two-fold: (1) to harness digital communication data to capture essential meaning of communication and factors affecting a desired behavior change, and (2) to understand the applicability of existing behavior change theories to characterize peer-to-peer communication in online platforms.
methodsIn this paper, we describe grounded theory-based qualitative analysis of digital communication in QuitNet, an online community promoting smoking cessation. A database of 16,492 de-identified public messages from 1456 users from March 1-April 30, 2007, was used in our study. We analyzed 795 messages using grounded theory techniques to ensure thematic saturation. This analysis enabled identification of key concepts contained in the messages exchanged by QuitNet members, allowing us to understand the sociobehavioral intricacies underlying an individual's efforts to cease smoking in a group setting. We further ascertained the relevance of the identified themes to theoretical constructs in existing behavior change theories (eg, Health Belief Model) and theoretically linked techniques of behavior change taxonomy.
resultsWe identified 43 different concepts, which were then grouped under 12 themes based on analysis of 795 messages. Examples of concepts include "sleepiness," "pledge," "patch," "spouse," and "slip." Examples of themes include "traditions," "social support," "obstacles," "relapse," and "cravings." Results indicate that themes consisting of member-generated strategies such as "virtual bonfires" and "pledges" were related to the highest number of theoretical constructs from the existing behavior change theories. In addition, results indicate that the member-generated communication content supports sociocognitive constructs from more than one behavior change model, unlike the majority of the existing theory-driven interventions.
conclusionsWith the onset of mobile phones and ubiquitous Internet connectivity, online social network data reflect the intricacies of human health behavior as experienced by health consumers in real time. This study offers methodological insights for qualitative investigations that examine the various kinds of behavioral constructs prevalent in the messages exchanged among users of online communities. Theoretically, this study establishes the manifestation of existing behavior change theories in QuitNet-like online health communities. Pragmatically, it sets the stage for real-time, data-driven sociobehavioral interventions promoting healthy lifestyle modifications by allowing us to understand the emergent user needs to sustain a desired behavior change.
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Registered trials
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.