Cerci Akcay Hulya, Kargu Erdal Cem, Seker Nefise
Department of Pedodontics, Kocaeli Health and Technology University, Kocaeli, Turkey.
Faculty of Dentistry, Kocaeli Health and Technology University, Kocaeli, Turkey.
PLoS One. 2025 Aug 7;20(8):e0329291. doi: 10.1371/journal.pone.0329291. eCollection 2025.
This study aimed to assess the scientific accuracy, content quality, and educational value of YouTube™ videos related to computer-controlled local anesthesia (CCLA) techniques in dentistry.
A total of 100 videos were screened using predefined keywords, and 48 met the inclusion criteria. Videos were assessed using the Global Quality Scale (GQS), DISCERN tool, JAMA benchmark criteria, and the Video Information and Quality Index (VIQI). Scientific content was scored using a structured rubric across six domains. Interobserver reliability was evaluated using Weighted Kappa and Intraclass Correlation Coefficient (ICC). Confidence intervals were calculated for key metrics. Group comparisons were performed using the Mann-Whitney U test, and correlations were analyzed using Spearman's rho (p < 0.05).
Videos from academic sources had significantly higher scores across all quality and reliability indicators. The mean GQS was 2.6 (95% CI: 2.3-2.9), DISCERN 11.7 (95% CI: 10.8-12.6), JAMA 1.8 (95% CI: 1.7-1.9), and VIQI 12.5 (95% CI: 11.7-13.3). Strong positive correlations were found between DISCERN and VIQI (r = 0.809), and between total content score and both DISCERN (r = 0.803) and VIQI (r = 0.655).
Although YouTube™ provides accessible information on CCLA, many videos lack scientific rigor and educational depth. Content produced by academic institutions is significantly more reliable. Dental educators are encouraged to integrate high-quality video content into curricula to improve media literacy and student learning outcomes.
本研究旨在评估YouTube™上与牙科计算机控制局部麻醉（CCLA）技术相关视频的科学准确性、内容质量和教育价值。
使用预定义关键词筛选了总共100个视频，其中48个符合纳入标准。使用全球质量量表（GQS）、DISCERN工具、《美国医学会杂志》基准标准和视频信息与质量指数（VIQI）对视频进行评估。科学内容使用结构化评分标准在六个领域进行评分。使用加权卡帕和组内相关系数（ICC）评估观察者间信度。计算关键指标的置信区间。使用曼-惠特尼U检验进行组间比较，并使用斯皮尔曼等级相关系数（p < 0.05）分析相关性。
来自学术来源的视频在所有质量和信度指标上得分显著更高。GQS平均分为2.6（95%置信区间：2.3 - 2.9），DISCERN为11.7（95%置信区间：10.8 - 12.6），《美国医学会杂志》标准评分为1.8（95%置信区间：1.7 - 1.9），VIQI为12.5（95%置信区间：11.7 - 13.3）。DISCERN与VIQI之间（r = 0.809）以及总内容得分与DISCERN（r = 0.803）和VIQI（r = 0.655）之间均发现强正相关。
尽管YouTube™提供了有关CCLA的可获取信息，但许多视频缺乏科学严谨性和教育深度。学术机构制作的内容明显更可靠。鼓励牙科教育工作者将高质量视频内容纳入课程，以提高媒体素养和学生学习成果。
