Suppr超能文献

利用社交媒体应用程序作为协作医学信息和知识共享工具的经验——从 CME WhatsApp 社区的使用和调查中获得的见解。

Leveraging the use of a social media app as a collaborative medical information and knowledge sharing tool-insights from experiential use and survey of a CME WhatsApp community.

机构信息

Diabetes and Heart Research Centre, Near Dhanbad Guest House, Shramik Chauk, Rangatand, Dhanbad, Jharkhand, 826001, India.

Manjalpur Hospital Pvt Ltd, Manjalpur, Vadodara, India.

出版信息

BMC Med Educ. 2024 Sep 3;24(1):960. doi: 10.1186/s12909-024-05941-x.

Abstract

BACKGROUND AND AIM

Continuing Medical Education (CME) is crucial for physicians to stay current in the rapidly advancing field of medicine. A WhatsApp (WA) based community of physicians was initiated in 2016 'WhatsApp CME India Group' to facilitate learning, knowledge sharing, and discussion among physicians. Due to participant size constraints of the technology, it evolved into seven distinct WA groups, overseen by a central administrator. A survey undertaken in the group's 7th year aimed to evaluate its effectiveness in achieving its goals, measure participant engagement, and uncover the primary factors driving its usage.

METHODS

The survey questionnaire was distributed to 3500 members across the 07 WhatsApp CME groups for voluntary participation. Data collected was analysed using SPSS version 24.0 (SPSS Inc., Chicago, IL, USA) and reported using descriptive statistics.

RESULTS

Among the 581 survey respondents, the study found 43% of physicians use the WhatsApp academic groups for CME content, with 32% accessing their group over four times daily. The primary motivation for 77% was to discuss challenging cases and to gain knowledge updates from fellow physician (70%). Medical websites (57%), referral books (49%), and Google (43%) were other significant resources. Every participant (100%) found the WhatsApp CME India group the most beneficial resource for daily medical science updates. A significant portion (57%) of the respondents found the group valuable for real-time information exchange. Over 78% stated it kept them current with knowledge and guidelines. Notably, 94% viewed WhatsApp CME as complementary to physical conferences, not a replacement. The post-conference/webinar summaries were appreciated by 81% participants. Case discussions (31%) and update posts from fellow physicians sharing their insights and learnings (24%) were noted as activities of great academic interest.

CONCLUSION

This study underscores the potential of digital platforms like WhatsApp in supplementing CME in India and potentially other comparable settings. The blend of digital and traditional resources suggests a balanced learning approach. While real-time engagement is a strength, challenges like information overload and privacy concerns require careful management. Striking a balance is crucial for ensuring content quality, structured discussions and privacy. As the digital age advances, professionals must critically assess shared information on these platforms to guarantee evidence-based and reliable knowledge dissemination.

TRIAL REGISTRATION

ARK 001.

摘要

背景与目的

继续医学教育(CME)对于医生跟上医学领域的快速发展至关重要。2016 年,我们启动了一个基于 WhatsApp(WA)的医生社区“印度 WhatsApp CME 群组”,以促进医生之间的学习、知识共享和讨论。由于技术的参与者规模限制,它演变成了七个不同的 WA 群组,由一名中央管理员监督。在该群组成立的第 7 年进行了一项调查,旨在评估其在实现目标方面的有效性,衡量参与者的参与度,并揭示推动其使用的主要因素。

方法

向 07 个 WhatsApp CME 群组的 3500 名成员分发了调查问卷,供他们自愿参与。使用 SPSS 版本 24.0(SPSS Inc.,芝加哥,IL,美国)分析收集的数据,并使用描述性统计进行报告。

结果

在 581 名调查受访者中,研究发现 43%的医生使用 WhatsApp 学术群组获取 CME 内容,其中 32%每天访问群组超过四次。77%的主要动机是讨论具有挑战性的病例并从同事医生那里获得知识更新(70%)。医学网站(57%)、参考书(49%)和谷歌(43%)是其他重要资源。每个参与者(100%)都认为 WhatsApp CME 印度群组是获取日常医学科学更新的最有益资源。相当一部分(57%)的受访者认为该群组对实时信息交流有价值。超过 78%的人表示,它使他们跟上了知识和指南的步伐。值得注意的是,94%的人认为 WhatsApp CME 是对实体会议的补充,而不是替代。81%的参与者赞赏会议/网络研讨会总结。病例讨论(31%)和分享见解和学习成果的同事医生的更新帖子(24%)被认为是具有很大学术兴趣的活动。

结论

这项研究强调了 WhatsApp 等数字平台在补充印度和其他类似环境中的 CME 方面的潜力。数字和传统资源的结合表明了一种平衡的学习方法。虽然实时参与是一个优势,但信息过载和隐私问题等挑战需要谨慎管理。平衡是确保内容质量、结构化讨论和隐私的关键。随着数字时代的发展,专业人员必须批判性地评估这些平台上共享的信息,以确保基于证据的可靠知识传播。

试验注册

ARK 001。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a12/11373431/3b95675dbd4c/12909_2024_5941_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验