远程医疗和YouTubeTM:COVID-19大流行之前和之后的视频质量分析
Vincenzo Mirone1, Marco Abate2, Giovanni M Fusco3
1Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples "Federico II", Naples. mirone@unina.it.
概括
在COVID-19期间,YouTube远程医疗视频的兴趣增加了,但内容质量往往很差,错误信息上升. 官方机构必须规范在线健康信息.
科学领域:
- 数字健康数字健康
- 远程医疗质量评估
- 在线健康信息 在线健康信息
背景情况:
- 在全球范围内,COVID-19大流行加速了远程医疗的采用.
- YouTube已成为传播健康信息的重要平台.
- 评估YouTube上的远程医疗内容的质量对于公共卫生至关重要.
研究的目的:
- 为了评估YouTube视频的内容质量,在COVID-19大流行期间讨论远程医疗.
- 分析与远程医疗相关的搜索和视频上传趋势.
- 识别远程医疗内容中的潜在错误信息.
主要方法:
- 在YouTube和Google上分析了远程医疗的全球搜索趋势.
- 使用与远程医疗相关的关键词查询了YouTube.
- 通过PEMAT A/V (Patient Education Materials Assessment Tool for Audiovisual Materials),全球质量评分 (GQS) 和一个错误信息工具来评估视频质量.
主要成果:
- 分析了129个视频,其中72.9%是在COVID-19爆发后上传的.
- 总体中位数的可理解性和可操作性分数分别为50.0%和66.7%.
- 在大流行开始后上传的视频中观察到错误信息的显著增加 (p=0.01).
- 在大流行之前,质量差的视频更为普遍 (37.1% vs 24.5%).
结论:
- 在疫情期间,远程医疗的兴趣激增,但YouTube内容质量仍然不足.
- 错误信息的显著增加发生在流行后的远程医疗视频中.
- 建议医疗机构对远程医疗法规和在线内容进行标准化,以打击错误信息.
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