Evidence map›Paper›PMID 41167698›Full record

ArticleIn vivo (Athens, Greece)

Best Practices for Instagram in Medical Education: A Study With Randomized Post Designs.

Rebecca I Wurm-Kuczera, Julia F L Koenig, Judith Buentzel

Abstract read
In one paragraph

Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Rebecca I Wurm-KuczeraDepartment of Hematology, Oncology and Cancer Immunology, Charité, University Medical Center Berlin, Campus Benjamin Franklin, Berlin, Germany.
Julia F L KoenigSection Translational Medical Ethics, Department of Medical Oncology, National Center for Tumor Diseases (NCT) Heidelberg, Heidelberg University Hospital, Medical Faculty, Heidelberg University, Heidelberg, Germany.
Judith BuentzelDepartment of Hematology and Medical Oncology, University Medical Center Goettingen, Goettingen, Germany judith.buentzel@med.uni-goettingen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimInstagram is a widely used visual communication platform with over one billion global users. Its visual and interactive features suggest potential for use in medical education, particularly for asynchronous learning. MATERIALS AND

methodsTo evaluate effective strategies for account promotion, content design, and outcome measurement, we launched the Instagram account "ilearnonco2021" during a hematology and medical oncology teaching module. Educational posts were uploaded according to a randomized controlled protocol. Post engagement was assessed using 'likes' as a surrogate marker for student interest. These assumptions were cross-validated through a post-course survey assessing students' content preferences.

resultsOf 126 enrolled students, 49 (38.9%) subscribed to the account, with the majority recruited following a personalized email and references in the online study guide. Single-slide posts received a similar number of likes as multi-slide posts. Combining clinical trial content with supplementary visuals (

conclusionInstagram may serve as a supportive tool for asynchronous learning in medical education. However, its capacity to increase interest in clinical research appears limited. While 'likes' can indicate trends in engagement, they should be cross-validated with independent user surveys to ensure reliability.

Indexed as

Education, MedicalSocial MediaFemaleHumansMaleStudents, MedicalSurveys and Questionnairesasynchronous learningInstagramMedical educationsocial media in teachingstudent engagement

Identifiers

PMID41167698
PMCPMC12588212

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.