ArticleJournal of medical Internet research2014
User-generated online health content: a survey of Internet users in the United Kingdom.
Article in Journal of medical Internet research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Developing an Educational Resource Aimed at Improving Adolescent Digital Health Literacy: Using Co-Design as Research Methodology.Journal of medical Internet research · 2024Article
- Nurses' Work Concerns and Disenchantment During the COVID-19 Pandemic: Machine Learning Analysis of Web-Based Discussions.JMIR nursing · 2023Article
- Identifying mental health discussion topic in social media community: subreddit of bipolar disorder analysis.Frontiers in research metrics and analytics · 2023Article
- The Role of Online Support Groups in Helping Individuals Affected by HIV and AIDS: Scoping Review of the Literature.Journal of medical Internet research · 2022Article
- Comparing Survivors of Cancer in Population-Based Samples With Those in Online Cancer Communities: Cross-sectional Questionnaire Study.JMIR cancer · 2022Article
- Harnessing Machine Learning to Personalize Web-Based Health Care Content.Journal of medical Internet research · 2021Article
- Factors Affecting Engagement in Web-Based Health Care Patient Information: Narrative Review of the Literature.Journal of medical Internet research · 2021Review
- Detecting Binge Drinking and Alcohol-Related Risky Behaviours from Twitter's Users: An Exploratory Content- and Topology-Based Analysis.International journal of environmental research and public health · 2020Article
- Are Health e-Mavens the New Patient Influencers?Frontiers in psychology · 2020Review
- Mining of Textual Health Information from Reddit: Analysis of Chronic Diseases With Extracted Entities and Their Relations.Journal of medical Internet research · 2019Article
- Electronic Health Use in the European Union and the Effect of Multimorbidity: Cross-Sectional Survey.Journal of medical Internet research · 2018Article
- Consumer Health-Related Activities on Social Media: Exploratory Study.Journal of medical Internet research · 2017Article
- Social media as a space for support: Young adults' perspectives on producing and consuming user-generated content about diabetes and mental health.Social science & medicine (1982) · 2016Article
- Mining Health Social Media with Sentiment Analysis.Journal of medical systems · 2016Article
- Medication-related Self-management Behaviors among Arthritis Patients: Does Attentional Coping Style Matter?The open rheumatology journal · 2016Article
- Mapping Power Law Distributions in Digital Health Social Networks: Methods, Interpretations, and Practical Implications.Journal of medical Internet research · 2015Article
- Association Between Acute Medical Exacerbations and Consuming or Producing Web-Based Health Information: Analysis From Pew Survey Data.Journal of medical Internet research · 2015Article
- Patient use of email for health care communication purposes across 14 European countries: an analysis of users according to demographic and health-related factors.Journal of medical Internet research · 2015Article
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
backgroundThe production of health information has begun to shift from commercial organizations to health care users themselves. People increasingly go online to share their own health and illness experiences and to access information others have posted, but this behavior has not been investigated at a population level in the United Kingdom.
objectiveThis study aims to explore access and production of user-generated health content among UK Internet users and to investigate relationships between frequency of use and other variables.
methodsWe undertook an online survey of 1000 UK Internet users. Descriptive and multivariate statistical analyses were used to interpret the data.
resultsNearly one-quarter of respondents (23.7%, 237/1000) reported accessing and sharing user-generated health content online, whereas more than 20% (22.2%, 222/1000) were unaware that it was possible to do this. Respondents could be divided into 3 groups based on frequency of use: rare users (78.7%, 612/778) who accessed and shared content less than weekly, users (13.9%, 108/778) who did so weekly, and superusers (7.5%, 58/778) who did so on a daily basis. Superusers were more likely to be male (P<.001) and to be employed (P<.001), but there were no differences between the groups with respect to educational level (P=.99) or health status (P=.63). They were more likely to use the Internet for varied purposes such as banking and shopping (P<.001).
conclusionsAlthough this study found reasonably widespread access of user-generated online health content, only a minority of respondents reported doing so frequently. As this type of content proliferates, superusers are likely to shape the health information that others access. Further research should assess the effect of user-generated online content on health outcomes and use of health services by Internet users.
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.