Quality and utility of YouTube videos about mPCNL

Urolithiasis(2022)

Cited 2|Views15
No score
Abstract
This study assessed the reliability, efficacy, and quality of YouTube videos on miniaturized PCNL procedures using a scoring system. Video searches were conducted using the keywords miniaturized percutaneous nephrolithotomy (mPCNL), ultra-mini-PCNL (UMP), and super-mini-PCNL (SMP) via https://www.youtube.com . All videos > 2 min in English containing the procedure of mPCNL were ordered and listed according to relevance and popularity. Global quality scores (GQS) and reliability scales were used for quality and content analysis of the videos. The confirmed video power index (VPI) was used to assess video popularity, and the mPCNL score, developed by three endourologists, was used to measure the informational and educational value of the videos. While specialists (61.9%) were the main source for uploading 63 videos included in the study, the largest target group was patients (61.9%). Operational procedures (68.3%) were the main content, and the highest upload region was Asian continent (66.7%). The majority of videos were in English (60.3%), focused on standard mPCNL rather than miniaturization subtypes (77.8%). The mean VPI, GQS, reliability, and mPCNL scores were 4.61, 2.86, 2.61, 9.58, respectively. These parameters, which were positively correlated, were found to be statistically significantly higher for videos of 'academic' origin, 'Physicians' target audience and 'English audio' language format ( p < 0.05). Because mPCNL videos, which are popular and have high informational and educational value, are aimed at medical professionals rather than patients, they are not functional in treatment selection and explaining the procedure. By raising its standards, video portals can make the treatment process practical as a functional bridge between patients and health care professionals.
More
Translated text
Key words
Educational surgery video,Kidney stones,Miniaturized percutaneous nephrolithotomy,YouTube
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined