ArticlePerspectives on medical education2023
Twitter as a Mechanism of Knowledge Translation in Health Professions Education: An Exploratory Content Analysis.
Article in Perspectives on medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Article
- Disentangling the configurational drivers of nursing science popularization: a fuzzy-set qualitative comparative analysis using WeChat data.BMC nursing · 2025Article
- Are AudioviSual maTERials disseminated via sOcIal meDia effective to improve evidence-based rehabilitation implementation for physiotherapists (ASTEROID trial)? A feasibility study.BMC research notes · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Social media may facilitate knowledge sharing within health professions education (HPE), but whether and how it is used as a mechanism of knowledge translation (KT) is not understood. This exploratory study aimed to ascertain what content has been shared on Twitter using #MedEd and how it is used as a mechanism of KT. Methods: Symplur was used to identify all tweets tagged with #MedEd between March 2021 - March 2022. A directed content analysis and multiple cycles of coding were employed. 18,000 tweets were identified, of which 478 were included. Studies sharing high quality HPE information; relating to undergraduate, postgraduate, or continuing education; referring to an evidence source; and posted in English or French were included. Results: Diverse content was shared using #MedEd, including original tweets, links to peer-reviewed articles, and visual media. Tweets shared information about new educational approaches; system, clinical, or educational research outcomes; and measurement tools. #MedEd appears to be a mechanism of diffusion (n = 296 tweets) and dissemination (n = 164 tweets). It is less frequently used for knowledge exchange (n = 13 tweets) and knowledge synthesis (n = 5 tweets). No tweets demonstrated the ethically sound application of knowledge. Discussion: It is challenging to determine whether and how #MedEd is used to promote the uptake of knowledge into HPE or if it is even possible for Twitter to serve these purposes. Further studies exploring how health professions educators use the knowledge gained from Twitter to inform their educational or clinical practices are recommended.
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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.