Evidence map›Paper›PMID 39207790›Full record

ArticleFamily medicine2024

Using Social Media to Teach About and Engage Residents in Evidence-Based Medicine.

Gregory Castelli, Stella Winters, Alexandria Taylor, Yufei Ge

Abstract read
In one paragraph

Article in Family medicine, 2024. 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. Review
  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

4 authors.

Gregory CastelliDepartment of Family Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA.
Stella WintersUPMC Saint Margaret, Pittsburgh, PA.
Alexandria TaylorUPMC Saint Margaret, Pittsburgh, PA.
Yufei GeUPMC Saint Margaret, Pittsburgh, PA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesEvidence-based medicine (EBM) is an important concept for family medicine and is part of several Accreditation Council for Graduate Medical Education milestones. Social media (SM) has become a cornerstone in most of our lives. Previous studies show the use of SM in medical education is expanding. The objective of this study is to use SM for medical education focusing on teaching EBM through an innovative, engaging video series.

methodsThis quasi-experimental study used pre- and postintervention surveys between May 2022 and June 2022 using the American Board of Family Medicine National Journal Club initiative as a foundation. A total of 196 residents and fellows from various family medicine residency programs were eligible to participate. Surveys consisted of SM usage, EBM engagement, EBM comfort and confidence adapted from a validated tool, and questions about the articles reviewed in the videos.

resultsA total of 44 of 196 residents and fellows from various family medicine residency programs participated in the preintervention survey. Most participants identified learning about EBM through residency didactics. The most popular SM platforms were Instagram and YouTube for medical content. Participants were least comfortable on the 10-point scale for critically appraising study methods. Postintervention cumulative scores for knowledge about the journal articles increased from 64% to 85%.

conclusionsThe video series taught EBM concepts and were well received, albeit with a low postintervention response rate. These findings contribute to the evolving landscape of medical education with implications for improving the effectiveness of EBM teaching through SM platforms.

Indexed as

Education, Medical, GraduateEvidence-Based MedicineFamily PracticeInternship and ResidencySocial MediaHumansSurveys and Questionnaires

Identifiers

PMID39207790
PMCPMC11493124

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.