Douyin as a source of information and education on humeral supracondylar fracture of children during the COVID-19 pandemic in Chinese Mainland: An observational study.

Zhitao Zhu, Yan Zheng,Dongsheng Zhu

Medicine(2023)

引用 1|浏览0
暂无评分
摘要
We aimed to investigate whether Douyin videos on pediatric humeral supracondylar fractures could be a useful source during the COVID-19 pandemic. A search was conducted using the term "humeral supracondylar fracture of children" on Douyin. The top 100 videos were selected based on view count. 74 was the final analysis, after excluding 26 videos for various reasons. First, the videos were classified into medical and the non-medical groups based on authorship. The medical team videos were about explanations or detailed surgical procedures directly related to child's fracture. There were also non-medical videos, mostly about personal experiences and other things. The videos were then also divided into 2 groups abased on the year of COVID-19 pandemic. The number of views, content type, video duration and number of likes about the video were analyzed. Among the 74 videos included in this study, had a total of 19,647,988 views (median 205,129, range 7874-1,495,004). Compared to the medical group, the non-medical group had more views (P = .004), likes (P = .000), view ratio (P = .019), and video power index (P = .024). During the COVID-19 pandemic, views (P = .033), view ratio (P = .006), and video power index (P = .043) also increased. Douyin has been a valuable source of health information for patients during COVID-19 pandemic regarding the occurrence of humeral supracondylar fracture in children. Medical professionals and institutions should upload credible, informative videos and clear, high-quality, scientifically reviewed surgical footage of children with humeral supracondylar fracture. And the videos uploaded by medical professionals and filtered by Douyin's staff appear to be necessary.
更多
查看译文
关键词
quality of information, children, COVID-19, Douyin, humeral supracondylar fracture
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要