Yale College, New Haven, Connecticut, USA.
Northwestern University, Evanston, Illinois, USA.
J Health Commun. 2021 Dec 2;26(12):846-857. doi: 10.1080/10810730.2021.2021460. Epub 2022 Jan 9.
The duration and impact of the COVID-19 pandemic depends largely on individual and societal actions which are influenced by the quality and salience of the information to which they are exposed. Unfortunately, COVID-19 misinformation has proliferated. Despite growing attempts to mitigate COVID-19 misinformation, there is still uncertainty regarding the best way to ameliorate the impact of COVID-19 misinformation. To address this gap, the current study uses a meta-analysis to evaluate the relative impact of interventions designed to mitigate COVID-19-related misinformation. We searched multiple databases and gray literature from January 2020 to September 2021. The primary outcome was COVID-19 misinformation belief. We examined study quality and meta-analysis was used to pool data with similar interventions and outcomes. 16 studies were analyzed in the meta-analysis, including data from 33378 individuals. The mean effect size of interventions to mitigate COVID-19 misinformation was positive, but not statistically significant [d = 2.018, 95% CI (-0.14, 4.18), = .065, k = 16]. We found evidence of publication bias. Interventions were more effective in cases where participants were involved with the topic, and where text-only mitigation was used. The limited focus on non-U.S. studies and marginalized populations is concerning given the greater COVID-19 mortality burden on vulnerable communities globally. The findings of this meta-analysis describe the current state of the literature and prescribe specific recommendations to better address the proliferation of COVID-19 misinformation, providing insights helpful to mitigating pandemic outcomes.
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。尽管越来越多的人试图减轻 COVID-19 错误信息的影响,但对于如何最好地减轻 COVID-19 错误信息的影响仍存在不确定性。为了解决这一差距,本研究使用荟萃分析评估了旨在减轻与 COVID-19 相关错误信息的干预措施的相对影响。我们从 2020 年 1 月至 2021 年 9 月搜索了多个数据库和灰色文献。主要结果是 COVID-19 错误信息的信念。我们检查了研究质量,并使用荟萃分析来汇集具有相似干预措施和结果的数据。荟萃分析分析了 16 项研究,包括来自 33378 个人的数据。减轻 COVID-19 错误信息的干预措施的平均效应大小为正,但不具有统计学意义 [d=2.018,95%CI(-0.14,4.18), =0.065,k=16]。我们发现存在出版偏倚的证据。在参与者参与该主题的情况下,以及在仅使用文本进行缓解的情况下,干预措施更为有效。鉴于全球脆弱社区的 COVID-19 死亡率负担更大,对非美国研究和边缘化人群的关注有限令人担忧。荟萃分析的研究结果描述了当前文献的状况,并提出了具体建议,以更好地应对 COVID-19 错误信息的传播,为减轻大流行结果提供了有益的见解。