Misinformation About Medical Cannabis in YouTube Videos: Systematic Review.

IF 2 Q3 HEALTH CARE SCIENCES & SERVICES
Shivank Khare, Simon Erridge, Swathikan Chidambaram, Mikael Hans Sodergren
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引用次数: 0

Abstract

Background: YouTube has become a major source of health information, with 2.5 billion monthly users. Despite efforts taken to promote reliable sources, misinformation remains prevalent, particularly regarding medical cannabis.

Objective: This study aims to evaluate the quality and reliability of medical cannabis information on YouTube and to examine the relationship between video popularity and content quality.

Methods: A systematic review of YouTube videos on medical cannabis was conducted. Search terms were selected based on Google Trends, and 800 videos were retrieved on July 8, 2024. After applying exclusion criteria, 516 videos were analyzed. Videos were categorized by content creators: (1) nonmedical educational channels, (2) medical education channels, and (3) independent users. Two independent reviewers (SK and SE) assessed content quality using the DISCERN grade and the Health on the Net (HON) code. Statistical analysis included one-way ANOVA and Pearson correlation coefficient.

Results: Of the 516 videos analyzed, 48.5% (n=251) were from the United States, and 17.2% (n=89) from the United Kingdom. Only 12.2% (n=63) were produced by medical education channels, while 84.3% (n=435) were by independent users. The total views reached 119 million, with nonmedical educational channels having the highest median views with 274,957 (IQR 2161-546,887) and medical education channels having the lowest median views at 5721 (IQR 2263-20,792.50). The mean DISCERN and HON code scores for all videos were 34.63 (SD 9.49) and 3.93 (SD 1.20), respectively. Nonmedical educational creators had the highest DISCERN score (mean 47.78, SD 10.40) and independent users had the lowest score (mean 33.5, SD 8.50; P<.001). Similarly, nonmedical educational creators had the highest HON code score (mean 5.33, SD 1.22), while independent users had the lowest (mean 3.78, SD 1.10; P=.007). Weak positive correlations were found between video views and DISCERN scores (r=0.34, P<.001) and likes and DISCERN scores (r=0.30, P<.001).

Conclusions: YouTube is a key source of information on medical cannabis, but the credibility of videos varies widely. Independent users attract the highest viewers but have reduced reliability according to the DISCERN and HON scores. Educational channels, despite increased reliability received the least engagement. The weak correlation between views and content quality emphasizes the need for content moderation to ensure that the most reliable and accurate information on health issues is widely disseminated. Future research should identify strategies to promote verified sources of information and limit misinformation.

Abstract Image

Abstract Image

关于YouTube视频中医用大麻的错误信息:系统审查。
背景:YouTube已成为健康信息的主要来源,每月有25亿用户。尽管为促进可靠来源作出了努力,但错误信息仍然普遍存在,特别是关于医用大麻的错误信息。目的:本研究旨在评估YouTube上医用大麻信息的质量和可靠性,并检验视频受欢迎程度与内容质量之间的关系。方法:对YouTube上有关医用大麻的视频进行系统综述。根据谷歌Trends选择搜索词,并在2024年7月8日检索到800个视频。应用排除标准后,对516个视频进行分析。视频按内容创作者分类:(1)非医学教育频道,(2)医学教育频道,(3)独立用户。两名独立审稿人(SK和SE)使用DISCERN等级和网络健康(HON)代码评估内容质量。统计分析包括单因素方差分析和Pearson相关系数。结果:分析的516个视频中,48.5% (n=251)来自美国,17.2% (n=89)来自英国。仅12.2% (n=63)由医学教育频道制作,84.3% (n=435)由独立用户制作。总浏览量达到1.19亿,其中非医学教育频道的中位数浏览量最高,为274,957 (IQR 2161-546,887),医学教育频道的中位数浏览量最低,为5721 (IQR 2263-20,792.50)。所有视频的平均DISCERN和HON代码得分分别为34.63 (SD 9.49)和3.93 (SD 1.20)。非医学教育创作者的DISCERN得分最高(平均47.78,标准差10.40),独立用户的得分最低(平均33.5,标准差8.50)。结论:YouTube是医用大麻信息的重要来源,但视频的可信度差异很大。根据DISCERN和HON评分,独立用户吸引了最多的观众,但可靠性降低。尽管教育渠道的可靠性有所提高,但参与度最低。观点与内容质量之间的弱相关性强调了内容节制的必要性,以确保广泛传播关于健康问题的最可靠和最准确的信息。未来的研究应确定促进经核实的信息来源和限制错误信息的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
JMIR Formative Research
JMIR Formative Research Medicine-Medicine (miscellaneous)
CiteScore
2.70
自引率
9.10%
发文量
579
审稿时长
12 weeks
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