Related Experiment Video
Updated: Jun 4, 2025
Software-Assisted Quantitative Measurement of Osteoarthritic Subchondral Bone Thickness
Published on: March 18, 2022
Assessing the Reliability of YouTube Content for Plastic Surgery Patient Information in Africa With the Modified
Umutoni Alice, Shirley S Dadson, Emmanuel Edeh1
1Mersey and West Lancashire Teaching Hospital NHS Trust, Prescot, United Kingdom.
Introduction:
YouTube has become a popular source of health information, including plastic surgery. Given the platform's wide reach and potential influence on patient decisions, this study aimed to assess the quality of information available on YouTube for African audiences seeking plastic surgery procedures.
Methods:
This cross-sectional study extracted data from YouTube videos on plastic surgery relevant to Africa. A search strategy identified videos in English using keywords. The first 50 results for each term were included, with duplicates removed. Next, the metadata of videos published from inception to June 9, 2024, were extracted. Two reviewers independently assessed videos using standardized tools to evaluate reliability (modified DISCERN and JAMA criteria) and engagement (likes-to-views ratio [LVR] and comments-to-views ratio [CVR]). The Mann-Whitney U test was used for unadjusted bivariable comparisons. Then ordinal logistic and beta regression analyses were used to evaluate the primary (modified DISCERN and JAMA scores) and secondary (LVR and CVR) outcomes, with a statistical significance level set at 0.05.
Results:
Eight hundred ninety-seven plastic surgery videos were analyzed, and 3.9% were published by African entities. Large subscriber count (coefficient = -6.9e-8, 95% confidence interval [CI] [-1.13e-7, -2.9e-8], P = 0.001), African-authored (coefficient = -0.85, 95% CI [-1.44, -0.25], P = 0.005), and advertising (coefficient = -1.01, 95% CI [-1.63, -0.57], P < 0.001) videos had lower modified DISCERN scores. Advertising videos equally had lower JAMA scores (coefficient = -1.29, 95% CI [-1.83, -0.74], P < 0.001). Academic videos had lower LVR (coefficient = -0.48, 95% CI [-0.66, -0.30], P < 0.001), whereas independent videos had higher LVR (coefficient = 0.40, 95% CI [0.26, 0.54], P < 0.001). Academic videos had lower CVR (coefficient = -0.40, 95% CI [-0.67, -0.13], P = 0.003), whereas videos with other purposes had higher CVR (coefficient = 0.37, 95% CI [0.10, 0.64], P = 0.007).
Conclusions:
This study underscores a potential disparity in the quality of online plastic surgery information based on video sources and purposes.
