Evidence map›Paper›PMID 37202604›Full record

ArticleJournal of neurology2023

Understanding social media: how its popularity could be used to advance medical education in stroke care?

Gustavo Saposnik

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Gustavo SaposnikDecision Neuroscience Unit, Li Ka Shing Institute, University of Toronto, Toronto, Canada. Gustavo.Saposnik@unityhealth.to.ORCID http://orcid.org/0000-0002-5950-9886

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The wide availability of social media (SM) has revolutionized human interactions and education in different settings (e.g., household, workplace, academic, hospitals). Nearly 60% of the global population spend a daily average of over 6 h of screen time. By facilitating audio, video, and interactive material, SM has reshaped users' perceptions, choices, and communication. The science behind SM can be explained by the activation of the brain reward pathways which explains the success of SM platforms lead by user-generated content (i.e., TikTok). Our understanding of SM user's interests, mode of access, time spent with screens, and internet are critical to advance medical education by applying new learning technologies to advance medical education and stroke care. For example, the top 20 most visited websites and the most searched hashtags on TikTok in 2022 did not include any health-related topics, reflecting a challenging competition for attention of different segments of the population. We must overcome current gaps in medical education such as increased curricular activities, increasingly demanding tasks, differences in personal preferences between residents and faculty members, etc. New strategies using more engaging learning technologies and SM platforms (e.g., stroke simulations, interactive diagnostic and therapeutic decisions, tracking user's attention to assess knowledge transfer) are needed. This would allow a more effective delivery of educational content by stimulating the curiosity and participation of students, patients, and physicians offering more rewarding experiences across the continuum of stroke care.

Indexed as

Education, MedicalSocial MediaStrokeHumansLearningStudentsGoogleMedical educationMedicineSocial mediaStrokeTikTokTwitter

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.