ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2020
Revealing Intention In Health-related Peer Interactions: Implications For Optimizing Patient Engagement In Self-health Management.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Enhancing Digital Health Development Through Speech Act Theory: Application to Peripartum Depression Management.Studies in health technology and informatics · 2025Article
- 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
- Lessons Learned From Interdisciplinary Efforts to Combat COVID-19 Misinformation: Development of Agile Integrative Methods From Behavioral Science, Data Science, and Implementation Science.JMIR infodemiology · 2023Article
- Pragmatics to Reveal Intent in Social Media Peer Interactions: Mixed Methods Study.Journal of medical Internet research · 2021Article
- Exchanges in a Virtual Environment for Diabetes Self-Management Education and Support: Social Network Analysis.JMIR diabetes · 2021Article
- Social Media as a Research Tool (SMaaRT) for Risky Behavior Analytics: Methodological Review.JMIR public health and surveillance · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Risky health behaviors such as poor diet, physical inactivity are the main contributors to the development of diabetes, one of the major causes of death and disability in the United States. Online health communities provide new avenues for individuals to efficiently manage their health conditions and adopt a positive lifestyle. So far, analysis of health-related online social exchanges has focused solely on communication content and structure of social ties, ignoring implicit user intentions underlying communication exchanges. In this paper, we propose an analytical framework to characterize communication intent, content, and social ties in online peer interactions. We integrate models from socio-behavioral sciences and linguistics with network analytics and apply it to understand Diabetes Self-Management. Results indicate the informational needs of users expressed in forms of speech acts can vary across different user engagement and disease management profiles. Implications for the design of interventions for better self-management of diabetes are discussed.
Indexed as
Identifiers
33936488PMC8075471What OpenQuestion holds
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.