Varadaraj Venkat Ramaiha

Department of Dental Hygiene, College of Applied Health Sciences (QU), Al-Rass, KSA


  • Original Article   
    Invisalign – A YouTubeTM Video Analysis
    Author(s): Raghu Devanna*, Yousef Althomali, Nayef H Felemban, Bheema Shetty Manasali, Puneet Gupta and Varadaraj Venkat Ramaiha

    Background: This study was aimed to assess the quality and content of the YouTubeTM videos that provide information about Invisalign. Methods: As indicated by the Google Trends application, the Invisalign-related YouTubeTM videos were searched using the key word “Invisalign”. We selected the 140 videos from the first 156 results obtained after searching the key word “Invisalign” on YouTubeTM. An 18-point scale system was used to classify the videos into low- and high-content videos. The video information and quality index (VIQI) was applied to determine the quality of the videos. Statistical analyses were done using Chi-square test, logistic regression analysis, Pearson correlation coefficient, and Mann-Whitney U-test. Results: 44 videos were classified as high-content and 96 as low.. Read More»

Abstracted/Indexed in

  • Include Baidu Scholar
  • CNKI (China National Knowledge Infrastructure)
  • EBSCO Publishing's Electronic Databases
  • Exlibris – Primo Central
  • Google Scholar
  • Hinari
  • Infotrieve
  • National Science Library
  • ProQuest
  • TdNet
  • African Index Medicus
Annals of Medical and Health Sciences Research The Annals of Medical and Health Sciences Research is a bi-monthly multidisciplinary medical journal. more >>
Submit your Manuscript