Department of Anatomy, Faculty of Medicine, Istanbul Beykent University, Istanbul, Turkey.
Department of Oral and Maxillofacial Surgery, Faculty of Dentistry, Istanbul Beykent University, Istanbul, Turkey.
Clin Anat. 2024 Apr;37(3):344-352. doi: 10.1002/ca.24138. Epub 2024 Feb 3.
The aim of this study was to evaluate the content, quality, and functionality of YouTube videos on the anatomy of skull bones and to measure their educational usefulness. In this cross-sectional study, the keywords "skull bones" and "skull anatomy" were searched in the YouTube search tab. Demographic data such as type, source, duration, upload date, and view rates of the videos were recorded. The quality and content of the videos were measured using the total content score (TCS), modified DISCERN scale, JAMA score, and Global Quality Scale (GQS). SPSS 26.0 software was used for statistical analysis. Twenty-five (34.7%) of the first 72 videos found by keyword searches were included in the study. According to the GQS criteria, six of them (24%) were considered useful and 19 (76%) not useful. There was a strong statistically significant correlation between the GQS and DISCERN scores (r = 0.813, p < 0.001). There were strong statistically significant positive correlations between TCS and GQS scores (r = 0.887, p < 0.001) and between TCS and modified DISCERN scores (r = 0.691, p < 0.001). Additionally, there was a moderately strong statistically significant positive correlation between GQS and JAMA scores (r = 0.507, p < 0.05). There were also moderately strong statistically significant correlations between JAMA score and DISCERN score (r = 0.521, p < 0.001), video length (r = 0.416, p < 0.05), number of comments (r = 0.457, p < 0.05), and number of "likes" (r = 0.608, p < 0.001). There was a moderately strong statistically significant positive correlation between TCS and JAMA scores (r = 0.431, p < 0.05). Most YouTube videos have insufficient information about skull bones to meet the expectations of medical and dental school curricula. Anatomists and institutions should be encouraged to prepare and present YouTube videos using assessment systems such as DISCERN, JAMA, GQS, and TCS, in line with current anatomy curricula.
本研究旨在评估关于颅骨解剖的 YouTube 视频的内容、质量和功能,并衡量其教育实用性。在这项横断面研究中,在 YouTube 搜索标签中搜索了“颅骨骨”和“颅骨解剖”等关键词。记录了视频的人口统计学数据,如类型、来源、时长、上传日期和观看率。使用总内容评分(TCS)、改良 DISCERN 量表、JAMA 评分和全球质量评分(GQS)来测量视频的质量和内容。使用 SPSS 26.0 软件进行统计分析。通过关键字搜索找到的前 72 个视频中,有 25 个(34.7%)被纳入研究。根据 GQS 标准,其中 6 个(24%)被认为有用,19 个(76%)则不然。GQS 和 DISCERN 评分之间存在很强的统计学显著相关性(r=0.813,p<0.001)。TCS 和 GQS 评分之间存在很强的统计学显著正相关(r=0.887,p<0.001),TCS 和改良 DISCERN 评分之间也存在很强的统计学显著正相关(r=0.691,p<0.001)。此外,GQS 和 JAMA 评分之间存在中度统计学显著正相关(r=0.507,p<0.05)。JAMA 评分和 DISCERN 评分之间也存在中度统计学显著相关性(r=0.521,p<0.001),视频长度(r=0.416,p<0.05)、评论数量(r=0.457,p<0.05)和“点赞”数量(r=0.608,p<0.001)之间也存在中度统计学显著相关性。TCS 和 JAMA 评分之间存在中度统计学显著正相关(r=0.431,p<0.05)。大多数关于颅骨的 YouTube 视频都没有提供足够的信息,无法满足医学院校和牙科学院课程的期望。应鼓励解剖学家和机构使用 DISCERN、JAMA、GQS 和 TCS 等评估系统来准备和展示 YouTube 视频,以符合当前的解剖学课程。