Krakowiak Michał, Piwowska Kaja, Fercho Justyna, Yuser Rami, Jagodziński Maks, Kokot Klaudia, Bilyk Andrzej, Maj Aleksandra, Dzierżanowski Jarosław, Nacewicz Jacek, Zieliński Piotr
Neurosurgery Department, Medical University of Gdansk, 80-952 Gdansk, Poland.
Student's Scientific Circle of Neurosurgery, Neurosurgery Department, Medical University of Gdansk, 80-952 Gdansk, Poland.
Healthcare (Basel). 2024 Dec 10;12(24):2492. doi: 10.3390/healthcare12242492.
This study aimed to assess the quality of YouTube (YT) videos providing medical information on cervical spine fractures; secondly, a comparison of two timeframes has been conducted. Using Google Chrome with privacy settings to minimize personalization, two searches were conducted on 20 July 2021 and the second one on 10 April 2024 using various terms related to cervical spine injuries. Videos were evaluated using the DISCERN (Quality Criteria for Consumer Health Information), GQS (Global Quality Score), and JAMA scoring systems. In total, 91 videos were included. Mechanisms of injury were the most frequent video content (n = 66), and postoperative pain occurred the least (n = 6). The mean DISCERN score of 43.26 (std = 11.25), mean GQS of 2.67 (std = 0.74), and mean JAMA score was 2.2 (std = 0.68). Inclusion of treatment options had an odd ratio of 21.72 for a better-quality video. The largest number of videos was provided by physicians (n = 24). In DISCERN, risks of treatment were graded lowest = 1.9. Newer videos achieved higher scores in the DISCERN, GQS, and JAMA scoring systems reaching 52.5, 3, and 2.75, respectively. These scores suggest inadequate information provision in the videos, hindering patients' understanding of their condition. Due to insufficient information presented in current videos, patients are not fully informed.
本研究旨在评估YouTube（YT）上提供颈椎骨折医学信息的视频质量；其次，对两个时间段进行了比较。使用谷歌浏览器并设置隐私设置以尽量减少个性化，于2021年7月20日进行了两次搜索，第二次于2024年4月10日使用与颈椎损伤相关的各种术语进行搜索。使用DISCERN（消费者健康信息质量标准）、GQS（全球质量评分）和JAMA评分系统对视频进行评估。总共纳入了91个视频。损伤机制是最常见的视频内容（n = 66），术后疼痛出现的频率最低（n = 6）。DISCERN平均评分为43.26（标准差 = 11.25），GQS平均评分为2.67（标准差 = 0.74），JAMA平均评分为2.2（标准差 = 0.68）。包含治疗选择的优质视频的比值比为21.72。医生提供的视频数量最多（n = 24）。在DISCERN中，治疗风险分级最低 = 1.9。较新的视频在DISCERN、GQS和JAMA评分系统中得分更高，分别达到52.5、3和2.75。这些分数表明视频中提供的信息不足，阻碍了患者对自身病情的理解。由于当前视频中呈现的信息不足，患者没有得到充分的告知。
