Chen YueDong, Yin Jia, Ding YuKe, Wang ChangYu, Zhu JiaXin, Niu Lu
Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China.
Front Psychiatry. 2024 Dec 12;15:1408384. doi: 10.3389/fpsyt.2024.1408384. eCollection 2024.
We aimed to assess the quality of information regarding depression on Chinese websites and popular video platforms.
We conducted searches on website platforms (Baidu, Bing) and video platforms (Bilibili, Douyin) using search terms "depression", "depressive disorder", "depression treatment", "depressive anxiety", "depressed patient", and "depressive symptoms". We collected the first 50 results with each search term in each platform. Each website and video included in this study was assessed using The DISCERN instrument (DISCERN), Journal of American Medical Association benchmark criteria (JAMA), Hexagonal Radar Schema (HRS), and Global Quality Scores (GQS).
A total of 177 websites, 216 Bilibili videos, and 244 Douyin videos were included. Among all the platforms, websites had the highest median scores on DISCERN and HRS, at 33 and 2 respectively, but were still classified as "poor" and "very poor" according to the classification. Bilibili, Douyin, and websites had median scores of 3, 2, and 2 respectively in JAMA, indicating a moderate level of quality. Bilibili, Douyin, and websites all had a median score of 2 for GQS, and were of poor quality. Only the percentage score for JAMA was more than half of the weighted score, while none of the other scales reached half of the score. The median percentage scores of the websites in DISCERN, HRS, and GQS were higher than those of Bilibili and Douyin ( < 0.001). Compared to other sources, news media on websites and medical organizations on videos demonstrated higher quality (all values < 0.05).
The findings of the study indicated an overall low quality of online depression information. Collaborative efforts between platforms and professionals are necessary to improve the comprehensiveness and quality of depression-related information available online. In addition, the platform needs to prioritize optimizing the algorithm of recommendations and present real high-quality health information to the audience.
我们旨在评估中文网站和热门视频平台上有关抑郁症信息的质量。
我们在网站平台（百度、必应）和视频平台（哔哩哔哩、抖音）上使用搜索词“抑郁症”“抑郁障碍”“抑郁症治疗”“抑郁焦虑”“抑郁症患者”和“抑郁症状”进行搜索。我们在每个平台上收集每个搜索词的前50个结果。本研究纳入的每个网站和视频均使用DISCERN工具（DISCERN）、《美国医学会杂志》基准标准（JAMA）、六边形雷达图（HRS）和全球质量评分（GQS）进行评估。
共纳入177个网站、216个哔哩哔哩视频和244个抖音视频。在所有平台中，网站在DISCERN和HRS上的中位数得分最高，分别为33分和2分，但根据分类仍被归类为“差”和“非常差”。哔哩哔哩、抖音和网站在JAMA中的中位数得分分别为3分、2分和2分，表明质量处于中等水平。哔哩哔哩、抖音和网站的GQS中位数得分均为2分，质量较差。只有JAMA的百分比得分超过加权得分的一半，而其他量表均未达到得分的一半。网站在DISCERN、HRS和GQS中的中位数百分比得分高于哔哩哔哩和抖音（P<0.001）。与其他来源相比，网站上的新闻媒体和视频中的医学组织质量更高（所有P值<0.05）。
该研究结果表明在线抑郁症信息的整体质量较低。平台和专业人员之间需要共同努力，以提高在线抑郁症相关信息的全面性和质量。此外，平台需要优先优化推荐算法，向受众呈现真正高质量的健康信息。
