Ziegler Annika, Kunzler Angela M, Voigt-Radloff Sebastian, Schmitt Jochen, Moerer Onnen, Scheithauer Simone, Heytens Heike, Apfelbacher Christian, Meerpohl Joerg J
Institut für Evidenz in der Medizin, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland.
Institut für Medizinische Biometrie und Statistik, Universitätsklinikum Freiburg, Medizinische Fakultät, Albert-Ludwigs-Universität Freiburg, Freiburg, Deutschland.
Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz. 2025 Jan;68(1):97-104. doi: 10.1007/s00103-024-03985-4. Epub 2024 Dec 5.
In acute crises such as the COVID-19 pandemic, scientific questions need to be addressed quickly in order to protect the health of the population and to maintain the function of the healthcare system. The prevailing urgency and the large number of issues to be addressed, combined with the limitation of time, personnel, or monetary resources make prioritization indispensable. In the COVID-19 Evidence Ecosystem (CEOsys) project initiated by the University Medicine Network (NUM), a procedure for the rapid prioritization of questions was used specifically for evidence syntheses and clinical guideline recommendations, which was further developed in the follow-up project PREparedness and Pandemic Response in Germany (PREPARED).The result is a concept paper on the prioritization of research questions and topics with a more generic orientation. The content of the concept is presented in this article. The core subjects are basic principles of successful prioritization as well as an explicit seven-step process with information on organizational framework conditions and the procedure. The concept offers possibilities for adaptation, as research prioritization is highly context-dependent.The application of such a systematic, transparent prioritization process contributes to comprehensible and informed decisions about which research questions are relevant and urgent, in which order they should be processed, and which issues are not critically urgent or have to be postponed.
在诸如新冠疫情这样的突发危机中,为保护民众健康并维持医疗体系的运转,需要迅速解决科学问题。当前的紧迫性以及大量亟待解决的问题,再加上时间、人力或资金资源的限制,使得确定优先事项变得不可或缺。在大学医学网络(NUM)发起的新冠证据生态系统(CEOsys)项目中,一种用于快速确定问题优先级的程序专门用于证据综合和临床指南推荐,该程序在后续项目“德国的准备与大流行应对”(PREPARED)中得到了进一步完善。其成果是一篇关于研究问题和主题优先级排序的概念文件,具有更广泛的导向性。本文介绍了该概念的内容。核心主题包括成功确定优先级的基本原则以及一个明确的七步流程,并提供了关于组织框架条件和程序的信息。由于研究优先级高度依赖具体情况,该概念提供了适应性调整的可能性。应用这样一个系统、透明的优先级排序过程有助于做出关于哪些研究问题相关且紧急、应按何种顺序处理以及哪些问题并非极其紧迫或必须推迟的可理解且明智的决策。