正畸橡皮筋:YouTubeTM 视频的多变量分析。

IF 1.5 Q3 DENTISTRY, ORAL SURGERY & MEDICINE
Clinical, Cosmetic and Investigational Dentistry Pub Date : 2024-05-07 eCollection Date: 2024-01-01 DOI:10.2147/CCIDE.S460910
Ahmed A Alsulaiman, Osama A Alsulaiman, Reem I Alkhateeb, Luba AlMuhaish, Maher Alghamdi, Essam A Nassar, Naif N Almasoud
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引用次数: 0

摘要

背景/目的:YouTube 视频是否包含有关某些正畸程序的准确而充分的信息仍不清楚。本研究旨在调查YouTube上有关牙齿矫正的视频的内容和质量,并确定高水平内容YouTube视频的预测因素:对 200 个 YouTube 视频进行了资格筛选,在应用纳入标准后,排除了 133 个视频。采用学生 t 检验比较低级内容和高级内容视频的特征、质量参数和总内容。采用卡方检验或费雪精确检验来确定低级和高级内容视频的来源和内容元素差异。皮尔逊相关系数用于确定内容总分、视频信息和质量指数(VIQI)以及 YouTube 特征之间的关系。采用前向选择的逐步线性多元回归来检验 YouTube 特征和 VIQI 与内容总分之间的关系:在收录的 67 个视频中,只有 19.4% 的视频被归类为高水平内容视频。高水平内容视频的平均点赞数(MD = 4041.7;SD = 4680.7;P-value=0.0068)、VIQI 分数(MD = 4.17;SD = 4.87;P-value=0.0073)和内容总分(MD = 4.04;SD = 1.23;P-value=结论)都明显更高:本研究表明,YouTube 上有关正畸弹力袜的内容质量较差。因此,未来实施由经认证的正畸医生提供的在线视觉内容将确保信息传递的准确性和全面性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Orthodontic Elastics: A Multivariable Analysis of YouTubeTM Videos.

Background/purpose: Whether YouTube videos contain precise and adequate information on certain orthodontic procedures remains unclear. This study aimed to investigate the content and quality of YouTube videos on orthodontic elastics and identify the predictors of high-level content YouTube videos.

Materials and methods: Two hundred YouTube videos were screened for eligibility, and after applying the inclusion criteria, 133 videos were excluded. Student's t-test was used to compare the characteristics, quality parameters, and total content of the low-level and high-level content videos. Chi-square or Fisher's exact tests were implemented to identify the source and content element differences across low-level and high-level content videos. Pearson's correlation coefficients were used to determine the relationship between the total content score, video information and quality index (VIQI), and YouTube characteristics. Stepwise linear multiple regressions with forward selection were used to test the association of the YouTube characteristics and VIQI with the total content score.

Results: Among 67 included videos, only 19.4% of videos were classified as high-level content videos. High-level content videos had significantly higher mean number of likes (MD = 4041.7; SD = 4680.7; P-value=0.0068), VIQI score (MD = 4.17; SD = 4.87; P-value=0.0073), and total content score (MD = 4.04; SD = 1.23; P-value=<0.0001). The adjusted linear regression model demonstrated a significant association between the total content score and VIQI, where 1 unit increase in the VIQI was significantly associated with a 0.16 increase in the total content score (B = 0.16; standard error [SE]=0.04; P = 0.0003). Further, a significant association was observed between the total content score and video duration, where 1 minute increase in the video duration was significantly associated with a 0.15 increase in the total content score (B = 0.15; SE = 0.05; P = 0.008).

Conclusion: This study demonstrated that YouTube content quality concerning orthodontic elastics is poor. Thus, future implementation of online visual content provided by certified orthodontists will ensure accurate and thorough information delivery.

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来源期刊
CiteScore
3.90
自引率
5.60%
发文量
43
审稿时长
16 weeks
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