关键词: cross sectional study fast heartbeat global quality score observational study palpitations youtube

来  源:   DOI:10.7759/cureus.58710   PDF(Pubmed)

Abstract:
Palpitations refer to the sensation of rapid, fluttering, or pounding heartbeats in the chest, the determinants of which may range from hormonal changes to anxiety or arrhythmias. YouTube is one of the most prevailing and accepted web-based platforms people trust to help them understand more about their health conditions. Thus, this study aims to assess whether the quality of content about palpitations on this platform is reliable and sufficient. Seventy-one YouTube videos were analyzed using criteria such as date and time of upload, type of uploader, and type of content. The Global Quality Score (GQS) and modified DISCERN score were used to analyze the quality and reliability of the information provided. Microsoft Excel (Microsoft Corporation, Redmond, WA, US) was used for data analysis, and StataCorp\'s 2023 Stata Statistical Software (College Station, TX, US) was used for statistical analysis and visualization. Of the 71 videos analyzed, 90.14% were uploaded more than a year ago, 80.28% described the symptomatology in detail, and 81.69% accurately described the etiological factors. Hospitals and doctors were the most common uploaders, constituting 23% and 19% of the uploaded videos, respectively, and had high GQSs (Median GQS = 4). The highest scores also belonged to videos uploaded by patients suffering from the disease (Median GQS = 5). Hospitals and news channels ranked highest on the reliability score (Median DISCERN = 4, respectively). It was determined that despite varied sources, the nature of content provided by the platform contains promotional material and content gaps; YouTube should, therefore, be used critically and as per professional sources.
摘要:
心悸是指快速的感觉,飘动,或者胸部心跳,其决定因素可能从荷尔蒙变化到焦虑或心律失常。YouTube是人们信任的最流行和最受欢迎的基于网络的平台之一,可以帮助他们更多地了解自己的健康状况。因此,这项研究旨在评估该平台上有关心悸的内容质量是否可靠和足够。使用上传日期和时间等标准分析了71个YouTube视频,上传器的类型,和内容类型。使用全球质量评分(GQS)和修改的DISCERN评分来分析所提供信息的质量和可靠性。MicrosoftExcel(MicrosoftCorporation,雷德蒙德,WA,美国)用于数据分析,和StataCorp的2023年Stata统计软件(学院站,TX,US)用于统计分析和可视化。在分析的71个视频中,90.14%是一年多前上传的,80.28%的人详细描述了症状学,81.69%准确描述了病因。医院和医生是最常见的上传者,分别占上传视频的23%和19%,分别,并具有较高的GQSs(GQS中位数=4)。最高分也属于患有该疾病的患者上传的视频(中值GQS=5)。医院和新闻频道的可靠性得分最高(中位数分别为4)。人们确定,尽管来源不同,该平台提供的内容的性质包含宣传材料和内容空白;YouTube应该,因此,批判性地使用,并根据专业来源。
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