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评估 TikTok 上的精神分裂症内容和质量:一项横断面研究。

Evaluation of the content and quality of schizophrenia on TikTok: a cross-sectional study.

机构信息

Department of Health Management Center, The Second Affiliated Hospital of Nanchang University, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, China.

Huan Kui College of Nanchang University, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, China.

出版信息

Sci Rep. 2024 Nov 2;14(1):26448. doi: 10.1038/s41598-024-75372-7.

DOI:10.1038/s41598-024-75372-7
PMID:39488554
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11531578/
Abstract

Schizophrenia is a common and serious heterogeneous mental disorder that has a significant health and economic impact on families and society. As the prevalence of schizophrenia increases each year, public awareness of the disorder is growing. However, it remains unclear whether the quality of information presented in these videos is satisfactory. Therefore, a comprehensive assessment of the quality and content of schizophrenia-related videos on video-sharing platforms is necessary. We screened 123 schizophrenia-related videos from the video-sharing platform TikTok that met the criteria, and evaluated and analyzed them. First, the basic information provided in the videos was recorded and analyzed. The source and content type of each video was then determined. The educational content and quality of all videos were then evaluated using three rating instruments, Modified DISCERN, Global Quality Scale, and Journal of the American Medical Association (JAMA). Videos from different sources were also compared to see if they were statistically different in terms of educational content and quality. We identified 4 categories of content for the videos. The science introduction category had the largest number of 50, and the least number of videos was etiology and causation at 15. Six categories of sources of videos were also identified: the for-profit organizations category has the lowest number of 10, the health professionals category has the highest number of 45. There was a significant correlation between video source and duration (P = 0.014). The JAMA score was significantly positively correlated with the number of video likes (r = 0.721, P < 0.001). This study evaluated the content and information quality of 123 videos related to schizophrenia on the video-sharing platform TikTok. The findings indicate that while these videos offer some valuable insights into schizophrenia, the overall quality falls short of satisfactory levels, with inadequate reliability and accuracy.

摘要

精神分裂症是一种常见且严重的异质性精神障碍,对家庭和社会的健康和经济都有重大影响。随着精神分裂症的患病率逐年增加,公众对这种疾病的认识也在不断提高。然而,目前尚不清楚这些视频中呈现的信息质量是否令人满意。因此,有必要对视频分享平台上与精神分裂症相关的视频的质量和内容进行全面评估。我们从视频分享平台 TikTok 上筛选出了 123 个符合标准的精神分裂症相关视频,并对其进行了评估和分析。首先,记录和分析了视频中提供的基本信息。然后确定每个视频的来源和内容类型。使用三个评分工具(改良 DISCERN、全球质量量表和美国医学会杂志(JAMA))评估和分析所有视频的教育内容和质量。还比较了来自不同来源的视频,以确定它们在教育内容和质量方面是否存在统计学差异。我们确定了视频的 4 个内容类别。科学介绍类别的视频数量最多,为 50 个,病因和发病机制类别的视频数量最少,为 15 个。还确定了 6 个视频来源类别:营利性组织类别的视频数量最少,为 10 个,健康专业人员类别的视频数量最多,为 45 个。视频来源与视频时长之间存在显著相关性(P=0.014)。JAMA 评分与视频点赞数呈显著正相关(r=0.721,P<0.001)。本研究评估了视频分享平台 TikTok 上与精神分裂症相关的 123 个视频的内容和信息质量。研究结果表明,虽然这些视频提供了一些关于精神分裂症的有价值的见解,但整体质量远未达到令人满意的水平,可靠性和准确性不足。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a10/11531578/a35f6e430e3f/41598_2024_75372_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a10/11531578/96f77071bac1/41598_2024_75372_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a10/11531578/a35f6e430e3f/41598_2024_75372_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a10/11531578/96f77071bac1/41598_2024_75372_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a10/11531578/a35f6e430e3f/41598_2024_75372_Fig2_HTML.jpg

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