Suppr超能文献

2019冠状病毒病大流行的系统文献检索、综述与传播方法

Systematic literature search, review and dissemination methodology for the COVID-19 pandemic.

作者信息

Reynard Charles, Darbyshire Daniel, Prager Gabrielle, Jafar Anisa Jabeen Nasir, Naguib Mina, Oliver Govind, van den Berg Patricia, Body Richard, Ambroziak Harriet, Carley Simon

机构信息

Emergency Department, Manchester University NHS Foundation Trust, Manchester, UK.

Division of Cardiovascular Sciences, The University of Manchester, Manchester, UK.

出版信息

BMJ Simul Technol Enhanc Learn. 2021 Jun 8;7(6):524-527. doi: 10.1136/bmjstel-2020-000817. eCollection 2021.

Abstract

PURPOSE OF THE STUDY

SARS-CoV-2 has caused healthcare systems globally to reorganise. A pandemic paradox emerged; while clinicians were desperate for information on a new disease, they had less time to find and evaluate the vast volume of publications at times of significant strain on healthcare systems.A multidisciplinary team undertook a weekly literature search capturing all COVID-19 publications. We also monitored free open access medical education (FOAMed) sources for emerging themes. Title and abstract screening pooled the most relevant papers for emergency medicine. Three summary types were created, a 'Top 5 Flash Update', a journal club and a rapid response to emerging FOAMed themes. From these summaries, three modes of dissemination were used: short written summaries, blogs and podcasts. These were amplified through social media.

STUDY DESIGN

A retrospective review was conducted assessing the impact of this knowledge dissemination strategy for the period of March to September 2020.

RESULTS

In total, 64 687 papers were identified and screened. Of the papers included in the 'Top 5', 28.3% were on epidemiology, 23.6% treatment, 16.7% diagnostics, 12% prognosis, 8.7% pathophysiology with the remaining 10.7% consisting of PPE, public health, well-being and 'other'. We published 37 blogs, 17 podcasts and 18 Top 5 Flash Updates. The blogs were read 138 343 times, the Top 5 Flash Updates 68 610 times and the podcasts had 72 501 listens.

CONCLUSION

A combination of traditional academic and novel social media approaches can address the pandemic paradox clinicians are facing.

摘要

研究目的

严重急性呼吸综合征冠状病毒2(SARS-CoV-2)已促使全球医疗系统进行重组。一种大流行悖论出现了;虽然临床医生迫切需要有关这种新疾病的信息,但在医疗系统面临巨大压力之际,他们却没有时间去查找和评估大量的出版物。一个多学科团队每周进行一次文献检索,收集所有关于2019冠状病毒病(COVID-19)的出版物。我们还监测了免费开放获取医学教育(FOAMed)资源以获取新出现的主题。标题和摘要筛选汇集了急诊医学最相关的论文。创建了三种总结类型,即“五大快速更新”、期刊俱乐部以及对新出现的FOAMed主题的快速回应。从这些总结中,采用了三种传播方式:简短书面总结、博客和播客。这些通过社交媒体进行了推广。

研究设计

进行了一项回顾性评估,以评估2020年3月至9月期间这种知识传播策略的影响。

结果

总共识别并筛选了64687篇论文。在“五大”论文中,28.3%是关于流行病学的,23.6%是关于治疗的,16.7%是关于诊断的,12%是关于预后的,8.7%是关于病理生理学的,其余10.7%包括个人防护装备、公共卫生、健康和“其他”方面。我们发表了37篇博客、17个播客和18次“五大快速更新”。博客被阅读了138343次,“五大快速更新”被阅读了68610次,播客有72501次收听。

结论

传统学术方法与新型社交媒体方法相结合可以解决临床医生面临的大流行悖论。

相似文献

本文引用的文献

6
Estimation of COVID-19 outbreak size in Italy.意大利新冠疫情爆发规模的估计。
Lancet Infect Dis. 2020 May;20(5):537. doi: 10.1016/S1473-3099(20)30227-9. Epub 2020 Mar 19.
7
An interactive web-based dashboard to track COVID-19 in real time.一个基于网络的交互式仪表盘,用于实时追踪新冠病毒。
Lancet Infect Dis. 2020 May;20(5):533-534. doi: 10.1016/S1473-3099(20)30120-1. Epub 2020 Feb 19.

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