Evaluation of the quality of depression-related information on Chinese websites and video platforms: a cross-sectional comparative analysis.

IF 3.2 3区 医学 Q2 PSYCHIATRY Frontiers in Psychiatry Pub Date : 2024-12-12 eCollection Date: 2024-01-01 DOI:10.3389/fpsyt.2024.1408384
YueDong Chen, Jia Yin, YuKe Ding, ChangYu Wang, JiaXin Zhu, Lu Niu
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Abstract

Objectives: We aimed to assess the quality of information regarding depression on Chinese websites and popular video platforms.

Methods: 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).

Results: 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 (P < 0.001). Compared to other sources, news media on websites and medical organizations on videos demonstrated higher quality (all P values < 0.05).

Conclusions: 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.

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中国网站与视频平台抑郁症相关信息质量评价:横断面比较分析
目的:我们旨在评估中国网站和流行视频平台上有关抑郁症的信息质量。方法:在网站平台(百度、必应)和视频平台(Bilibili、抖音)上使用“抑郁”、“抑郁症”、“抑郁症治疗”、“抑郁焦虑”、“抑郁患者”、“抑郁症状”等关键词进行搜索。我们收集了每个平台上每个搜索词的前50个结果。本研究中包含的每个网站和视频均使用The DISCERN仪器(DISCERN)、美国医学协会基准标准杂志(JAMA)、六边形雷达模式(HRS)和全球质量评分(GQS)进行评估。结果:共纳入网站177个,Bilibili视频216个,抖音视频244个。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,但根据分类仍被划分为“差”和“非常差”。Bilibili、抖音和网站在JAMA的中位数分别为3分、2分和2分,质量水平中等。Bilibili、抖音和网站的GQS中值均为2分,质量较差。只有JAMA的百分比得分超过加权得分的一半,而其他量表都没有达到得分的一半。网站在DISCERN、HRS和GQS中的中位数百分比得分高于Bilibili和抖音(P < 0.001)。与其他来源相比,新闻媒体在网站上和医疗机构在视频上的质量更高(P值均< 0.05)。结论:研究结果表明,在线抑郁症信息的总体质量较低。为了提高网上抑郁症相关信息的全面性和质量,平台和专业人员之间的合作是必要的。此外,平台需要优先优化推荐算法,为受众呈现真实的高质量健康信息。
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来源期刊
Frontiers in Psychiatry
Frontiers in Psychiatry Medicine-Psychiatry and Mental Health
CiteScore
6.20
自引率
8.50%
发文量
2813
审稿时长
14 weeks
期刊介绍: Frontiers in Psychiatry publishes rigorously peer-reviewed research across a wide spectrum of translational, basic and clinical research. Field Chief Editor Stefan Borgwardt at the University of Basel is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. The journal''s mission is to use translational approaches to improve therapeutic options for mental illness and consequently to improve patient treatment outcomes.
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