School of Psychology and Public Health, La Trobe University, Melbourne, Victoria, Australia.
Department of Health Research Methods, Evidence & Impact (HEI), McMaster University, Hamilton, Canada.
J Clin Epidemiol. 2022 Feb;142:10-18. doi: 10.1016/j.jclinepi.2021.10.017. Epub 2021 Oct 27.
The objectives of this scoping review are to identify the challenges to conducting evidence synthesis during the COVID-19 pandemic and to propose some recommendations addressing the identified gaps.
A scoping review methodology was followed to map the literature published on the challenges and solutions of conducting evidence synthesis using the Joanna Briggs Methodology of performing scoping review. We searched several databases from the start of the Pandemic in December 2019 until 10th June 2021.
A total of 28 publications was included in the review. The challenges cited in the included studies have been categorised into four distinct but interconnected themes including: upstream, Evidence synthesis, downstream and contextual challenges. These challenges have been further refined into issues with primary studies, databases, team capacity, process, resources, and context. Several proposals to improve the above challenges included: transparency in primary studies registration and reporting, establishment of online platforms that enables collaboration, data sharing and searching, the use of computable evidence and coordination of efforts at an international level.
This review has highlighted the importance of including artificial intelligence, a framework for international collaboration and a sustained funding model to address many of the shortcomings and ensure we are ready for similar challenges in the future.
本范围综述的目的是确定在 COVID-19 大流行期间进行证据综合所面临的挑战，并针对已确定的差距提出一些建议。
采用 Joanna Briggs 循证卫生保健中心实施范围综述的方法，对 2019 年 12 月大流行开始至 2021 年 6 月 10 日期间发表的关于进行证据综合的挑战和解决方案的文献进行了综述。
综述共纳入 28 篇文献。纳入研究中提到的挑战分为四个截然不同但相互关联的主题，包括：上游、证据综合、下游和背景挑战。这些挑战进一步细分为原始研究、数据库、团队能力、过程、资源和背景方面的问题。为改善上述挑战提出了一些建议，包括：原始研究注册和报告的透明度、建立能够促进合作、数据共享和搜索的在线平台、使用可计算证据以及在国际层面协调努力。
本综述强调了纳入人工智能、国际合作框架和持续供资模式的重要性，以解决许多不足之处，并确保我们为未来类似的挑战做好准备。
