ArticleInternational journal of environmental research and public health2020
Analysis of Network Structure and Doctor Behaviors in E-Health Communities from a Social-Capital Perspective.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- A Study of Factors Influencing the Volume of Responses to Posts in Physician Online Community.Healthcare (Basel, Switzerland) · 2023Article
- Online health community for change: Analysis of self-disclosure and social networks of users with depression.Frontiers in psychology · 2023Article
- Network approaches and interventions in healthcare settings: A systematic scoping review.PloS one · 2023Article
- Association of social capital with self-perceived eHealth literacy among community-dwelling older people: Age and gender differences.Frontiers in public health · 2023Article
- Study on the Relationships between Doctor Characteristics and Online Consultation Volume in the Online Medical Community.Healthcare (Basel, Switzerland) · 2022Article
- Exploring the User Interaction Network in an Anxiety Disorder Online Community: An Exponential Random Graph Model with Topical and Emotional Effects.International journal of environmental research and public health · 2022Article
- Patient's behavior of selection physician in online health communities: Based on an Elaboration likelihood model.Frontiers in public health · 2022Article
- Analysis of the Evolution of User Emotion and Opinion Leaders' Information Dissemination Behavior in the Knowledge Q&A Community during COVID-19.International journal of environmental research and public health · 2021Article
- Exploring the Expression Differences Between Professionals and Laypeople Toward the COVID-19 Vaccine: Text Mining Approach.Journal of medical Internet research · 2021Article
- Special Issue on E-Health Services.International journal of environmental research and public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In tandem with internet development and widespread social media use, e-health communities have begun to emerge in recent years. These communities allow doctors to access forums anywhere, anytime, seek or exchange medical information online, find literature, and so on. This is convenient and can solve some problems for doctors while also promoting doctor communication. This study collected and collated 102 doctors in the "Lilac Forum" and used social network tools to quantify the overall network density, centrality, core-periphery structure, and structural hole indicators of doctors' information exchange from a social-capital perspective. The results showed that the frequency of interaction between doctors differed because of differences in the identities and participation of doctors in the e-health community. The density of the doctors' information dissemination network (0.228) and network cohesion (0.610) were relatively high. Thus, the doctors were more closely connected, and information was easily spread. At the same time, doctors with higher professional titles had obvious location characteristics, familiarity and trust, and high levels of reciprocity. They could obtain redundant information in the network and were more likely to influence the behavior of other doctors. This study's findings provide support for improving information exchange among doctors in e-health communities and improving the service levels of the platforms.
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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.