Dutta Anirban, Beriwal Nitya, Van Breugel Linda M, Sachdeva Sonali, Barman Bhupen, Saikia Hiranya, Nelson Udeme-Abasi, Mahdy Ahmed, Paul Subhankar
Medicine, Dr. NMB Baruah Nursing Home, Nalbari, IND.
Medicine, Lady Hardinge Medical College, New Delhi, IND.
Cureus. 2020 Jun 15;12(6):e8622. doi: 10.7759/cureus.8622.
Introduction The current coronavirus disease 19 (COVID-19) outbreak has been declared to be a pandemic by the World Health Organization (WHO). It is evolving daily and has jeopardized life globally across social and economic fronts. One of the six key strategic objectives identified by the WHO to manage COVID-19 is to communicate critical information to all communities and prevent the spread of misinformation. We analyzed content on YouTube.com, a widely used web-based platform for medical and epidemiological information. Methods YouTube search results using two keywords were analyzed each in six languages - English, Arabic, Bengali, Dutch, Hindi, and Nigerian Pidgin on April 8, 2020. Forty videos in each of the six languages (i.e., a total of 240 videos) were included for analysis in the study. Two reviewers conducted independent analyses for each language. The inter-observer agreement was evaluated with the kappa coefficient (κ). Modified DISCERN index and Medical Information and Content Index (MICI) scores were used for the reliability of content presented in the videos and information quality assessment, respectively. Analysis of variance, Kruskal-Wallis, Mann-Whitney test, and chi-square tests were done appropriately for data analysis. A p-value of less than 0.05 was considered statistically significant. All calculations were performed using SPSS Statistics for Windows, Version 21.0 (IBM Corp, Armonk, NY). Results The videos cumulatively attracted 364,080,193 views. Altogether, 52.5% of videos were Informative, 23.75% were News Updates, and 8.33% were Personal Experiences. Ten percent of videos were found to present medically misleading information. Independent Users contributed 75% of the misleading content. The overall Mean DISCERN score, an index of content reliability, was 2.62/5. The overall Mean MICI Score was 5.68/25. Videos had better scores in the Transmission component of the MICI scale and scored low on the Screening/Testing component. Conclusion The reliability and quality of the content of most videos about COVID-19 and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were found to be unsatisfactory. Videos with misleading content were found across all six languages, and sometimes garnered a higher percentage of views than those from credible sources. The share of videos contributed by Government and Health Agencies was low. Medical institutions and health agencies should produce content on widely used platforms like YouTube for quality medical and epidemiological information dissemination.
引言 世界卫生组织(WHO)已宣布当前的新型冠状病毒肺炎(COVID-19)疫情为大流行。疫情每日都在演变,已在全球社会和经济各方面危及生命。WHO确定的应对COVID-19的六个关键战略目标之一是向所有社区传达关键信息并防止错误信息传播。我们分析了YouTube.com上的内容,这是一个广泛用于获取医学和流行病学信息的基于网络的平台。
方法 2020年4月8日,使用两个关键词在YouTube上进行搜索结果分析,涉及六种语言——英语、阿拉伯语、孟加拉语、荷兰语、印地语和尼日利亚洋泾浜英语。每种语言选取40个视频(即总共240个视频)纳入本研究进行分析。两位评审员对每种语言进行独立分析。采用kappa系数(κ)评估观察者间一致性。分别使用修改后的DISCERN指数和医学信息与内容指数(MICI)分数来评估视频中呈现内容的可靠性和信息质量。数据分析适当采用方差分析、Kruskal-Wallis检验、Mann-Whitney检验和卡方检验。p值小于0.05被认为具有统计学意义。所有计算均使用SPSS Statistics for Windows,版本21.0(IBM公司,纽约州阿蒙克)。
结果 这些视频累计吸引了364,080,193次观看。总体而言,52.5%的视频内容丰富,23.75%为新闻更新,8.33%为个人经历。发现10%的视频存在医学误导性信息。独立用户贡献了75%的误导性内容。作为内容可靠性指标的总体平均DISCERN评分为2.62/5。总体平均MICI评分为5.68/25。视频在MICI量表的传播部分得分较高,而在筛查/检测部分得分较低。
结论 发现大多数关于COVID-19和严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的视频内容的可靠性和质量不尽人意。在所有六种语言中均发现了有误导性内容的视频,且有时其获得的观看次数百分比高于可靠来源的视频。政府和卫生机构提供的视频份额较低。医疗机构和卫生机构应在YouTube等广泛使用的平台上制作内容,以传播高质量的医学和流行病学信息。