Suppr超能文献

健康研究系统的弹性:从 COVID-19 危机中吸取的教训。

Health research system resilience: lesson learned from the COVID-19 crisis.

机构信息

Knowledge Utilization Research Center, Tehran University of Medical Sciences, Tehran, Iran.

Community-based Participatory Research Center, Knowledge Utilization Research Center, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

出版信息

Health Res Policy Syst. 2020 Dec 18;18(1):136. doi: 10.1186/s12961-020-00667-w.

Abstract

Producing evidence in epidemics is crucial to control the current epidemic and prevent its recurrence in the future. Data must be collected and analyzed rapidly to recognize the most efficient and feasible methods with proper timelines. However, there are many challenges a research system may encounter during a crisis. This article has presented lessons learned from the COVID-19 pandemic for health research system (HRS) to deal with current and future crises. Therefore, a HRS needs to produce and use evidence in such a situation. The components Knowledge Translation Self-Assessment Tool for Research Institutes (SATORI) framework was used to review the actions required and respond to the COVID-19 pandemic in a national HRS. This framework consists of four categories of defining the research question, conducting research, translating the research results, and promoting the use of evidence. The work is proposed actions in response to the COVID-19 crisis and improving a HRS's resilience. While COVID-19 has serious harm to the health and broader socio-economic consequences, this threat should be accounted for as an opportunity to make research systems more accountable and responsible in the timely production and utilization of knowledge. It is time to seriously think about how HRS can build a better back to be resilient to potential shock and prepare for unforeseen emerging conditions.

摘要

在疫情中产生证据对于控制当前疫情并防止未来疫情再次发生至关重要。必须迅速收集和分析数据,以确定具有适当时间表的最有效和可行的方法。然而,研究系统在危机期间可能会遇到许多挑战。本文从 COVID-19 大流行中汲取了经验教训,为卫生研究系统 (HRS) 应对当前和未来的危机提供了参考。因此,HRS 需要在这种情况下产生和使用证据。该框架使用知识转化自我评估工具 (SATORI) 来审查研究所需要采取的行动,并对国家 HRS 中的 COVID-19 大流行做出反应。该框架由四个类别组成,分别是确定研究问题、进行研究、转化研究结果和促进证据的使用。这些工作是针对 COVID-19 危机提出的应对措施,旨在提高 HRS 的弹性。虽然 COVID-19 对健康和更广泛的社会经济后果造成了严重危害,但这一威胁应被视为一个机会,使研究系统在及时产生和利用知识方面更加负责。现在是认真思考 HRS 如何建立更好的弹性,以应对潜在冲击并为不可预见的新情况做好准备的时候了。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3826/7749506/06685b3d92a0/12961_2020_667_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