Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA.
Northwestern University, Evanston, IL, USA.
Syst Rev. 2022 May 30;11(1):107. doi: 10.1186/s13643-022-01917-4.
The duration and impact of the COVID-19 pandemic depends in a large part on individual and societal actions which is influenced by the quality and salience of the information to which they are exposed. Unfortunately, COVID-19 misinformation has proliferated. To date, no systematic efforts have been made to evaluate interventions that mitigate COVID-19-related misinformation. We plan to conduct a scoping review that seeks to fill several of the gaps in the current knowledge of interventions that mitigate COVID-19-related misinformation.
A scoping review focusing on interventions that mitigate COVID-19 misinformation will be conducted. We will search (from January 2020 onwards) MEDLINE, EMBASE, CINAHL, PsycINFO, Web of Science Core Collection, Africa-Wide Information, Global Health, WHO Global Literature on Coronavirus Disease Database, WHO Global Index Medicus, and Sociological Abstracts. Gray literature will be identified using Disaster Lit, Google Scholar, Open Science Framework, governmental websites, and preprint servers (e.g., EuropePMC, PsyArXiv, MedRxiv, JMIR Preprints). Study selection will conform to Joanna Briggs Institute Reviewers' Manual 2020 Methodology for JBI Scoping Reviews. Only English language, original studies will be considered for inclusion. Two reviewers will independently screen all citations, full-text articles, and abstract data. A narrative summary of findings will be conducted. Data analysis will involve quantitative (e.g., frequencies) and qualitative (e.g., content and thematic analysis) methods.
Original research is urgently needed to design interventions to mitigate COVID-19 misinformation. The planned scoping review will help to address this gap.
Systematic Review Registration: Open Science Framework (osf/io/etw9d).
COVID-19 大流行的持续时间和影响在很大程度上取决于个人和社会的行动,而这些行动又受到他们所接触到的信息的质量和显著性的影响。不幸的是,COVID-19 错误信息已经泛滥。迄今为止,尚未对减轻与 COVID-19 相关的错误信息的干预措施进行系统评估。我们计划进行一项范围综述,旨在填补当前关于减轻与 COVID-19 相关的错误信息的干预措施知识中的一些空白。
将进行一项专注于减轻 COVID-19 错误信息的干预措施的范围综述。我们将从 2020 年 1 月开始,在 MEDLINE、EMBASE、CINAHL、PsycINFO、Web of Science 核心合集、非洲信息网、全球健康、世界卫生组织冠状病毒病全球文献数据库、世界卫生组织全球医学索引和社会学摘要中进行搜索。将使用灾害文献、Google 学术、开放科学框架、政府网站和预印本服务器(例如,欧洲 PMC、PsyArXiv、MedRxiv、JMIR 预印本)来确定灰色文献。研究选择将符合 Joanna Briggs 研究所 2020 年评论手册用于 JBI 范围综述的方法。仅考虑纳入英语原创研究。两名审查员将独立筛选所有引文、全文文章和摘要数据。将进行发现的叙述性总结。数据分析将涉及定量(例如,频率)和定性(例如,内容和主题分析)方法。
迫切需要原始研究来设计减轻 COVID-19 错误信息的干预措施。计划进行的范围综述将有助于解决这一差距。
开放科学框架(osf/io/etw9d)。