ArticleJournal of medical Internet research2016
Website Sharing in Online Health Communities: A Descriptive Analysis.
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 24 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
24 citing papers in PubMed.
- Understanding the Relationship Between Official and Social Information About Infectious Disease: Experimental Analysis.Journal of medical Internet research · 2021Trial
- Evaluating website resources shared online amongst women with intimate partner violence experiences: analysis of an online health community.Frontiers in psychology · 2026Article
- Understanding Membership in Alternative Health Social Media Groups and Its Association with COVID-19 and Influenza Vaccination: Web-Based Cross-Sectional Survey.JMIR formative research · 2024Article
- The Role of Technology in Online Health Communities: A Study of Information-Seeking Behavior.Healthcare (Basel, Switzerland) · 2024Article
- Intimacy and sexual functioning after cancer: The intersection with psychological flexibility.PLOS mental health · 2024Article
- Supporting Parents of Children With Type 1 Diabetes: Experiment Comparing Message and Delivery Types.JMIR formative research · 2023Article
- Factors Associated with Website Operation among Small Hospitals and Medical and Dental Clinics in Korea.Healthcare informatics research · 2022Article
- Exploring Resource-Sharing Behaviors for Finding Relevant Health Resources: Analysis of an Online Ovarian Cancer Community.JMIR cancer · 2022Article
- Sentiment analysis of tweets on alopecia areata, hidradenitis suppurativa, and psoriasis: Revealing the patient experience.Frontiers in medicine · 2022Article
- Development and Evaluation of theCancers · 2021Article
- Motivation Research on the Content Creation Behaviour of Young Adults in Anxiety Disorder Online Communities.International journal of environmental research and public health · 2021Article
- Development of Social Support Networks by Patients With Depression Through Online Health Communities: Social Network Analysis.JMIR medical informatics · 2021Article
- Digital Health Technology to Enhance Adolescent and Young Adult Clinical Preventive Services: Affordances and Challenges.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2020Review
- Determining the Topic Evolution and Sentiment Polarity for Albinism in a Chinese Online Health Community: Machine Learning and Social Network Analysis.JMIR medical informatics · 2020Article
- Study on Differences between Patients with Physiological and Psychological Diseases in Online Health Communities: Topic Analysis and Sentiment Analysis.International journal of environmental research and public health · 2020Article
- Analysis of Network Structure and Doctor Behaviors in E-Health Communities from a Social-Capital Perspective.International journal of environmental research and public health · 2020Article
- Diabetes on Twitter: A Sentiment Analysis.Journal of diabetes science and technology · 2019Article
- Mature or Emerging? The Impact of Treatment-Related Internet Health Information Seeking on Patients' Trust in Physicians.International journal of environmental research and public health · 2018Article
- Knowledge Discovery from Posts in Online Health Communities Using Unified Medical Language System.International journal of environmental research and public health · 2018Article
- Ill Literates or Illiterates? Investigating the eHealth Literacy of Users of Online Health Communities.Journal of medical Internet research · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundAn increasing number of people visit online health communities to seek health information. In these communities, people share experiences and information with others, often complemented with links to different websites. Understanding how people share websites can help us understand patients' needs in online health communities and improve how peer patients share health information online.
objectiveOur goal was to understand (1) what kinds of websites are shared, (2) information quality of the shared websites, (3) who shares websites, (4) community differences in website-sharing behavior, and (5) the contexts in which patients share websites. We aimed to find practical applications and implications of website-sharing practices in online health communities.
methodsWe used regular expressions to extract URLs from 10 WebMD online health communities. We then categorized the URLs based on their top-level domains. We counted the number of trust codes (eg, accredited agencies' formal evaluation and PubMed authors' institutions) for each website to assess information quality. We used descriptive statistics to determine website-sharing activities. To understand the context of the URL being discussed, we conducted a simple random selection of 5 threads that contained at least one post with URLs from each community. Gathering all other posts in these threads resulted in 387 posts for open coding analysis with the goal of understanding motivations and situations in which website sharing occurred.
resultsWe extracted a total of 25,448 websites. The majority of the shared websites were .com (59.16%, 15,056/25,448) and WebMD internal (23.2%, 5905/25,448) websites; the least shared websites were social media websites (0.15%, 39/25,448). High-posting community members and moderators posted more websites with trust codes than low-posting community members did. The heart disease community had the highest percentage of websites containing trust codes compared to other communities. Members used websites to disseminate information, supportive evidence, resources for social support, and other ways to communicate.
conclusionsOnline health communities can be used as important health care information resources for patients and caregivers. Our findings inform patients' health information-sharing activities. This information assists health care providers, informaticians, and online health information entrepreneurs and developers in helping patients and caregivers make informed choices.
Indexed as
Identifiers
What 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.