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A quality assessment of respiratory auscultation material on YouTube

机译:YouTube上的呼吸听诊资料的质量评估

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摘要

YouTube contains a large volume of medical educational material. This study assessed the quality of respiratory auscultation videos contained in YouTube. Videos were searched for using the terms ‘breath sounds’, ‘respiratory sounds’, ‘respiratory auscultation’ and/or ‘lung sounds’. In total, 6,022 videos were located, 36 of which were considered suitable for scoring for video accuracy, comprehensiveness and quality. The average score was 3.32/6 (55.3% ± 1.30). Video score correlated with time-adjusted YouTube metadata: hits per day (0.496, p=0.002) and likes per day (0.534, p=0.001). Video score also correlated with the first search page on which the video was located in the ‘breath sounds’ and ‘lung sounds’ searches (–0.571, p=0.001; –0.445, p=0.014, respectively). The quality of videos was variable. Correlation between video score and some metadata values suggests that there is value for their use in judging video quality. However, the large number of videos found and inability to filter these results quickly makes locating educational content difficult.
机译:YouTube包含大量医学教育资料。这项研究评估了YouTube中包含的呼吸听诊视频的质量。使用“呼吸音”,“呼吸音”,“呼吸听诊”和/或“肺音”等术语搜索视频。总共找到了6,022个视频,其中36个被认为适合对视频的准确性,全面性和质量进行评分。平均分数为3.32 / 6(55.3%±1.30)。视频得分与经过时间调整的YouTube元数据相关:每天的点击次数(0.496,p = 0.002)和每天的喜欢数(0.534,p = 0.001)。视频得分也与视频在“呼吸音”和“肺音”搜索中位于的第一个搜索页相关(分别为–0.571,p = 0.001; –0.445,p = 0.014)。视频的质量是可变的。视频得分与某些元数据值之间的相关性表明,它们在判断视频质量方面具有价值。但是,发现大量视频并且无法快速过滤这些结果,因此很难找到教育内容。

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