Assessing the Reliability of YouTube Content for Plastic Surgery Patient Information in Africa With the Modified DISCERN and JAMA Scores.
📈 연도별 인용 (2025–2026) · 합계 3
OpenAlex 토픽 ·
Social Media in Health Education
Health Literacy and Information Accessibility
Mobile Health and mHealth Applications
【연구 목적】 유튜브가 성형외과 정보의 주요 출처로 부상함에 따라, 아프리카 지역 대상 성형외과 관련 영상의 정보 품질과 신뢰성을 평가하는 것이 본 연구의 핵심 목표이다.
- p-value P = 0.001
- p-value P = 0.005
- 연구 설계 cross-sectional
APA
Alice Umutoni, Shirley Sarah Dadson, et al. (2025). Assessing the Reliability of YouTube Content for Plastic Surgery Patient Information in Africa With the Modified DISCERN and JAMA Scores.. Annals of plastic surgery, 94(4), 403-408. https://doi.org/10.1097/SAP.0000000000004186
MLA
Alice Umutoni, et al.. "Assessing the Reliability of YouTube Content for Plastic Surgery Patient Information in Africa With the Modified DISCERN and JAMA Scores.." Annals of plastic surgery, vol. 94, no. 4, 2025, pp. 403-408.
PMID
39729548
Abstract
[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.
[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.
추출된 의학 개체 (NER)
| 유형 | 영어 표현 | 한국어 / 풀이 | UMLS CUI | 출처 | 등장 |
|---|---|---|---|---|---|
| 약물 | CI [
|
scispacy | 1 | ||
| 약물 | [INTRODUCTION] YouTube
|
scispacy | 1 | ||
| 약물 | likes-to-views
|
scispacy | 1 | ||
| 기타 | beta regression analyses
|
scispacy | 1 |
MeSH Terms
Humans; Cross-Sectional Studies; Social Media; Video Recording; Surgery, Plastic; Africa; Reproducibility of Results; Consumer Health Information; Plastic Surgery Procedures; Information Dissemination; Patient Education as Topic