Best Practices for Instagram as a Medical Education Tool – What works and what doesn’t, experiences from a randomized controlled set-up. (Preprint)

Author:

Wurm-Kuczera Rebecca Isabell,Buentzel Judith,Koenig Julia Felicitas Leni

Abstract

UNSTRUCTURED

Background: Instagram is an interactive communication tool with around one billion worldwide users. As a visual communication tool, it has great potential use in medical education. Methods: To assess best practices of Instagram use, regarding account promotion, content creation and evaluation we launched the Instagram account “ilearnonco2021”. Here, educational content was uploaded according to a randomized controlled protocol. Posts accompanied the hematology and medical oncology curriculum. ‘Likes’ were used as surrogate marker for interest. Assumptions based on likes given per post were cross-validated by a separated survey on students’ preferences of content at the end of the teaching module. Results: 49/126 (38.9%) medical students subscribed to the Instagram account, showing a moderate interest. Recruitment to subscribe only succeeded after promoting the account via a personalized email and via the online study guide in addition to official module documents. Overall, single slide posts were liked as often as multiple slide posts. Combining contents on clinical trials with additional information (comic, clinical images, mnemonic) did not increase students’ interest significantly compared to single slides on clinical trials. Posts of the category ‘mnemonics” garnered significantly more interest (p = 0.01) than posts on clinical trials. Likes per post and follower were significantly lower during the trial presented here than in our previous cohort of students. Conclusions: Instagram is a useful tool supporting asynchronous learning albeit not suitable to increase interest in clinical trials. Likes may be used as surrogate marker for interest, results should be however cross-validated by a separate user survey.

Publisher

JMIR Publications Inc.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3