Tutan Duygu, Kaya Muhammed
Department of Internal Medicine, Erol Olçok Research and Training Hospital, Çorum, TUR.
Department of Gastroenterology, Hitit University Faculty of Medicine, Çorum, TUR.
Cureus. 2023 Oct 11;15(10):e46843. doi: 10.7759/cureus.46843. eCollection 2023 Oct.
Introduction Individuals frequently turn to YouTube as a source of information about their medical conditions and potential treatment options. Among the common ailments affecting the general population, hepatosteatosis stands out due to its severe consequences in the absence of proper treatment. The primary objective of this study is to evaluate the quality of hepatosteatosis-related videos available on the YouTube platform, and the secondary objective is to determine if there is a difference in video quality between videos uploaded by medical professionals and other sources. Methods The process of selecting videos for this study involved evaluating their relevance after conducting a search using the keywords "hepatosteatosis," "fatty liver," and "hepatic steatosis" on YouTube. This search was conducted on August 18, 2023. From the search results, we identified and selected the top 50 most-watched videos in the English language. These selected videos were then rigorously assessed for their relevance and content by three independent medical professionals. Additionally, various descriptive attributes of each video, such as the upload date, subscriber count, view count, likes, dislikes, and comments, were meticulously recorded in the dataset. To determine the quality of these videos, we utilized three evaluation tools: the DISCERN Score, the Global Quality Score (GQS), and the Journal of the American Medical Association (JAMA) rating scales. We have used the median±interquartile range (IQR), mean±standard deviation (SD), and the range of minimum to maximum values to convey descriptive statistics. The distribution was evaluated with the Shapiro-Wilks test. Spearman correlation analysis was used to identify relationships between variables. The association between quality indicators and data was examined using multiple regression analysis. The Mann-Whitney U test was used to determine significant differences between groups. A statistical significance level of 0.05 was considered significant. Results Our study revealed notable statistical differences in DISCERN scores when comparing videos uploaded by medical doctors to those uploaded by individuals without medical qualifications (p < 0.001). Likewise, in the comparisons between these two groups, videos created by healthcare professionals consistently demonstrated significantly higher quality scores in both the JAMA and GQS evaluations (p < 0.001 for both comparisons). This suggests that videos uploaded by medical professionals tend to provide higher-quality information on the topic of hepatosteatosis compared to those uploaded by non-medical individuals. Video length and comment counts were also found to be significant in the multivariate linear regression analysis and were predictive of the DISCERN score (p = 0.047 and p = 0.037, respectively). Conclusions The quality of information related to hepatosteatosis on YouTube varies significantly. Surprisingly, there is no noticeable difference in terms of views and popularity between helpful and potentially misleading videos. For individuals seeking reliable information, it is advisable to prioritize videos uploaded by medical professionals. Paying attention to the qualifications of the content creator rather than the video's popularity or view count is crucial when seeking accurate and trustworthy information on hepatosteatosis.
引言
个人经常会求助于YouTube,以获取有关自身病情及潜在治疗方案的信息。在影响普通人群的常见疾病中,肝脂肪变性因其在未得到妥善治疗时会产生严重后果而格外突出。本研究的主要目的是评估YouTube平台上与肝脂肪变性相关视频的质量,次要目的是确定医学专业人员上传的视频与其他来源上传的视频在质量上是否存在差异。
方法
本研究选择视频的过程包括在YouTube上使用关键词“肝脂肪变性”“脂肪肝”和“肝脂肪沉着”进行搜索后评估其相关性。该搜索于2023年8月18日进行。从搜索结果中,我们识别并选择了英语中观看次数最多的前50个视频。然后,由三位独立的医学专业人员对这些选定的视频进行严格的相关性和内容评估。此外,每个视频的各种描述性属性,如上传日期、订阅者数量、观看次数、点赞数、点踩数和评论,都被精心记录在数据集中。为了确定这些视频的质量,我们使用了三种评估工具:DISCERN评分、全球质量评分(GQS)和美国医学会(JAMA)评分量表。我们使用中位数±四分位间距(IQR)、均值±标准差(SD)以及最小值到最大值的范围来传达描述性统计数据。分布情况通过Shapiro-Wilks检验进行评估。Spearman相关性分析用于识别变量之间的关系。使用多元回归分析来检验质量指标与数据之间的关联。Mann-Whitney U检验用于确定组间的显著差异。统计学显著性水平设定为0.05时被视为具有显著性。
结果
我们的研究表明,在比较医生上传的视频和没有医学资质的个人上传的视频时,DISCERN评分存在显著的统计学差异(p < 0.001)。同样,在这两组的比较中,医疗保健专业人员创建的视频在JAMA和GQS评估中始终显示出显著更高的质量得分(两项比较的p均< 0.001)。这表明,与非医学个人上传的视频相比,医学专业人员上传的视频在肝脂肪变性主题上往往能提供更高质量的信息。在多元线性回归分析中,视频长度和评论数量也被发现具有显著性,并且是DISCERN评分的预测指标(分别为p = 0.047和p = 0.037)。
结论
YouTube上与肝脂肪变性相关的信息质量差异很大。令人惊讶的是,有用的视频和可能具有误导性的视频在观看次数和受欢迎程度方面没有明显差异。对于寻求可靠信息的个人来说,建议优先选择医学专业人员上传的视频。在寻求关于肝脂肪变性的准确和可信信息时,关注内容创作者的资质而非视频的受欢迎程度或观看次数至关重要。