PDF(Pubmed)
Abstract：
Introduction Diabetes mellitus (DM) encompasses a group of heterogeneous, chronic, and non-communicable diseases characterized by an increase in blood glucose levels. As it has become easily accessible for patients to know about their symptoms and treatment of diseases, it is of utmost importance that reliable information is conveyed on the internet. If not managed appropriately, it may result in the dissemination of false information, leading to risky practices and incorrect treatment, further resulting in detrimental consequences. Aim To assess the quality and reliability of information related to DM on YouTube. Methodology A cross-sectional observational study was conducted in April 2023, wherein top YouTube videos related to \'diabetes\' were analyzed for baseline characteristics, type of uploader, as well as quality and reliability using Global Quality Score (GQS) and Reliability Score (DISCEN), respectively. Statistical analysis was performed using SPSS software. Results A total of 87 videos were evaluated in the study. Unfortunately, only 21% of those were uploaded by doctors. The median Video Power Index (VPI) for videos uploaded by other sources was the highest (184.7), and the lowest was for videos uploaded by hospitals (12.6), and this was statistically significant (p = 0.038). The median GQS was highest for videos uploaded by doctors (4) and lowest for videos uploaded by others (3.5). The reliability score was higher in videos uploaded by healthcare organizations (4), which was not significant (p > 0.05). Conclusions Videos uploaded by physicians and healthcare organizations contained reliable information with a high global quality score. Videos uploaded by sources other than doctors and healthcare professionals should consult physicians, as self-diagnosis or self-treatment can lead to potential harm to patients.
摘要：
介绍糖尿病（DM）包括一组异质性，慢性，和以血糖水平升高为特征的非传染性疾病。由于患者已经很容易了解他们的症状和疾病的治疗方法，在互联网上传达可靠的信息至关重要。如果管理不当，它可能导致传播虚假信息，导致危险的做法和不正确的治疗，进一步造成有害后果。目的评估YouTube上与DM相关的信息的质量和可靠性。方法2023年4月进行了一项横断面观察性研究，其中分析了与“糖尿病”相关的YouTube视频的基线特征，上传器的类型，以及使用全球质量评分(GQS)和可靠性评分(DISCEN)的质量和可靠性，分别。采用SPSS软件进行统计学分析。结果本研究共评估了87个视频。不幸的是,其中只有21%是医生上传的。其他来源上传的视频的视频功率指数（VPI）中位数最高（184.7），最低的是医院上传的视频(12.6)，这具有统计学意义（p=0.038）。GQS中位数在医生上传的视频中最高（4），在其他人上传的视频中最低（3.5）。在医疗机构上传的视频中，可靠性得分更高(4)，差异不显著(p>0.05)。结论医生和医疗机构上传的视频包含可靠的信息，具有较高的全球质量评分。由医生和医疗保健专业人员以外的来源上传的视频应咨询医生，自我诊断或自我治疗可能会对患者造成潜在伤害。
