{"title":"Youtube videos as a source of information on digital indirect bonding: A content analysis.","authors":"Serpil Cokakoglu, Ezgi Cakir","doi":"10.26650/eor.20231152882","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The aim of this study was to evaluate YouTube videos as a source of information for digital indirect bonding techniques.</p><p><strong>Materials and methods: </strong>The keyword \"digital indirect bonding\" was first searched on YouTube, resulting in 57 recorded videos. Descriptive parameters, including source, target audience, purpose, duration, upload date, number of likes, dislikes, views, and comments, were then evaluated. After this initial assessment, the interaction index and viewing rate were calculated. Video content quality was determined using a 5-point scale that categorized videos as having poor, moderate, or good content quality. This rating was based on the presence and discussion of various topics related to digital indirect bonding, including digital scan, digital bracket placement, transfer tray production from a 3D-printed model or direct production as a 3D-printed tray, clinical application, and advantages and/or disadvantages. The videos were assessed for quality using the global quality scale (GQS) and video information and quality index (VIQI). Statistical evaluation was conducted using Kruskal-Wallis, Chi-square, and Pearson correlation analysis, and intraclass correlation coefficients were calculated to determine the rating reliability.</p><p><strong>Results: </strong>The majority of the videos were classified as having poor content quality (41.9%), followed by moderate (38.7%) and good (19.4%) content quality. No significant differences were found between the videos in terms of descriptive parameters. However, videos with good content quality had significantly higher GQS and VIQI scores than moderate and poor content videos. The total content showed significant correlations with GQS and VIQI (r=0.780 and r=0.446, respectively; plt;0.05).</p><p><strong>Conclusion: </strong>In conclusion, while the majority of YouTube videos regarding digital indirect bonding were of poor content quality, those that were of good content quality could be considered a useful source of professional information.</p>","PeriodicalId":15759,"journal":{"name":"Journal of Environmental Chemical Engineering","volume":"9 1","pages":"138-143"},"PeriodicalIF":7.2000,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622149/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Chemical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26650/eor.20231152882","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: The aim of this study was to evaluate YouTube videos as a source of information for digital indirect bonding techniques.
Materials and methods: The keyword "digital indirect bonding" was first searched on YouTube, resulting in 57 recorded videos. Descriptive parameters, including source, target audience, purpose, duration, upload date, number of likes, dislikes, views, and comments, were then evaluated. After this initial assessment, the interaction index and viewing rate were calculated. Video content quality was determined using a 5-point scale that categorized videos as having poor, moderate, or good content quality. This rating was based on the presence and discussion of various topics related to digital indirect bonding, including digital scan, digital bracket placement, transfer tray production from a 3D-printed model or direct production as a 3D-printed tray, clinical application, and advantages and/or disadvantages. The videos were assessed for quality using the global quality scale (GQS) and video information and quality index (VIQI). Statistical evaluation was conducted using Kruskal-Wallis, Chi-square, and Pearson correlation analysis, and intraclass correlation coefficients were calculated to determine the rating reliability.
Results: The majority of the videos were classified as having poor content quality (41.9%), followed by moderate (38.7%) and good (19.4%) content quality. No significant differences were found between the videos in terms of descriptive parameters. However, videos with good content quality had significantly higher GQS and VIQI scores than moderate and poor content videos. The total content showed significant correlations with GQS and VIQI (r=0.780 and r=0.446, respectively; plt;0.05).
Conclusion: In conclusion, while the majority of YouTube videos regarding digital indirect bonding were of poor content quality, those that were of good content quality could be considered a useful source of professional information.
期刊介绍:
The Journal of Environmental Chemical Engineering (JECE) serves as a platform for the dissemination of original and innovative research focusing on the advancement of environmentally-friendly, sustainable technologies. JECE emphasizes the transition towards a carbon-neutral circular economy and a self-sufficient bio-based economy. Topics covered include soil, water, wastewater, and air decontamination; pollution monitoring, prevention, and control; advanced analytics, sensors, impact and risk assessment methodologies in environmental chemical engineering; resource recovery (water, nutrients, materials, energy); industrial ecology; valorization of waste streams; waste management (including e-waste); climate-water-energy-food nexus; novel materials for environmental, chemical, and energy applications; sustainability and environmental safety; water digitalization, water data science, and machine learning; process integration and intensification; recent developments in green chemistry for synthesis, catalysis, and energy; and original research on contaminants of emerging concern, persistent chemicals, and priority substances, including microplastics, nanoplastics, nanomaterials, micropollutants, antimicrobial resistance genes, and emerging pathogens (viruses, bacteria, parasites) of environmental significance.