ArticleEuropean heart journal. Digital health2024
Network analysis of the social media activities around the #TeleCheckAF project.
Article in European heart journal. Digital health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Ultra-short-term heart rate variability using a photoplethysmography-based smartphone application: a TeleCheck-AF subanalysis.European heart journal. Digital health · 2025Article
- Risks and benefits of sharing patient information on social media: a digital dilemma.European heart journal. Digital health · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aims: TeleCheck-AF is a novel remote on-demand mobile health infrastructure around teleconsultations for patients with atrial fibrillation. Social media (SoMe) communication on Twitter contributed to the dissemination of this healthcare innovation by using the hashtag #TeleCheckAF. This study aims to analyse the SoMe network behind #TeleCheckAF and determine the key opinion leaders. Methods and results: Publicly available data on actors and interactions around the hashtag #TeleCheckAF were collected by web scraping from the platform Twitter. With tools based on social network analysis, a social network was created, different communities were identified, and key opinion leaders were determined by their centrality in the network. The SoMe network consisted of 413 086 accounts with 636 502 ties in 22 different communities. A total of 287 accounts that diffused information and/or used the TeleCheck-AF infrastructure were analysed in depth. Those accounts involved users from >15 different countries and multidisciplinary professions. Further, 20 opinion leaders were identified, including four official accounts of societies and associated journals among key opinion leaders. Peaks in #TeleCheckAF tweets were seen after (virtual) conferences and other activities involving national and international cardiology societies. Social network analysis of the TeleCheck-AF Twitter hashtag revealed a wide, multidisciplinary potential reach for the diffusion of a healthcare innovation. Conclusion: Official society SoMe accounts can amplify the dissemination of research findings by featuring abstract presentations during conferences and published manuscripts. This underlines the synergistic effects between traditional and SoMe-based research dissemination strategies for novel healthcare approaches, such as the TeleCheck-AF project.
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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.