DOI 10.1007/s10792-025-03568-5
A comprehensive quality and reliability assessment of SMILE (small incision lenticule extraction) laser surgery videos on youtube.
Аннотация
PURPOSE: To evaluate the quality and reliability of YouTube videos involving SMILE (Small Incision Lenticule Extraction) laser surgery and to assess the differences between physician-authored and patient-generated content.
METHODS
A comprehensive search was conducted on YouTube for SMILE laser surgery videos. The top 100 English-language videos were evaluated using validated scoring systems including DISCERN, JAMA, Global Quality Score (GQS), and Patient Education Materials Assessment Tool for Audio Visual (PEMAT-A/V).
RESULTS
The average quality scores were moderate across all metrics (DISCERN: 45.1, PEMAT-AV Understandability: 68.8, PEMAT-AV Actionability: 49.9, JAMA: 2.39, GQS: 2.99). Physician-authored videos scored significantly higher on reliability, treatment choices, and overall quality (p < 0.05). Patient-generated videos demonstrated higher viewer engagement, with more views (23,973 vs. 15,467) and comments (28 vs. 8). Positive correlations were determined between video length, likes, comments, and quality metrics (p < 0.05).
CONCLUSIONS
The SMILE laser surgery information on YouTube is of moderate quality. While physician-authored videos provide higher quality content, patient-generated videos offer unique perspectives and greater engagement. There is a need for balanced, high-quality video content that incorporates both professional expertise and patient experiences to provide comprehensive and reliable online information about SMILE laser surgery.
Предметные рубрики MeSH
Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.