Etebari Cameron A, Braun Sterling E, Vazquez-Machado Maria C, Butterworth James A
Aesthet Surg J Open Forum. 2024 Jun 14;6:ojae048. doi: 10.1093/asjof/ojae048. eCollection 2024.
Instagram (Menlo Park, CA) is a major platform for the dissemination of plastic surgery (PS) information, but the training background of users is difficult to ascertain.
We sought to better characterize the source and content of PS-related posts on Instagram.
Metadata from publicly available Instagram posts containing PS relevant hashtags was collected from December 2018 to August 2020 using Node.js (Node.js Foundation, San Francisco, CA). The data was characterized by account type, and post topics were analyzed using a custom dictionary of PS procedures applied with natural language processing. All data analyses were performed with R (The R Foundation, Vienna, Austria).
Board-certified plastic surgeons account for 38% of posts on Instagram, followed by organizations (31%), nonplastics-trained physicians (19%), facial plastics (5%), oculoplastics (1%), and nonphysician providers (5%). Oculoplastics had the highest engagement rate with their posts (3.7 ± 5.1), whereas plastic surgeons had the lowest (2.7 ± 4.2). Breast aesthetics was the predominant topic posted by plastic surgeons (42%, < .001), and board certification phrases distinguished their posts from other account types (23%, < .001). Nonphysician posts focused on nonsurgical aesthetics like Botox and fillers (80%). However, nonplastics-trained physicians and organizations significantly contributed to procedural subcategories in a similar distribution to plastic surgeons.
Board-certified plastic surgeons are not the predominant source of PS content on Instagram. Furthermore, posts by plastic surgeons have the lowest rate of engagement out of all account types studied. Although declarations of board certification distinguish content from plastics disciplines, they are only used in 21% of posts.
照片墙(位于加利福尼亚州门洛帕克)是传播整形手术(PS)信息的主要平台,但用户的培训背景难以确定。
我们试图更好地描述照片墙上与整形手术相关帖子的来源和内容。
2018年12月至2020年8月,使用Node.js(位于加利福尼亚州旧金山的Node.js基金会)收集了公开可用的照片墙帖子中的元数据,这些帖子包含与整形手术相关的主题标签。数据按账户类型进行特征描述,并使用应用自然语言处理的整形手术程序自定义词典分析帖子主题。所有数据分析均使用R(位于奥地利维也纳的R基金会)进行。
获得委员会认证的整形外科医生发布的帖子占照片墙帖子的38%,其次是组织(31%)、未接受整形培训的医生(19%)、面部整形医生(5%)、眼部整形医生(1%)和非医生提供者(5%)。眼部整形医生发布的帖子参与率最高(3.7±5.1),而整形外科医生发布的帖子参与率最低(2.7±4.2)。乳房美学是整形外科医生发布的主要主题(42%,P<0.001),委员会认证短语将他们的帖子与其他账户类型区分开来(23%,P<0.001)。非医生发布的内容主要集中在肉毒杆菌毒素和填充剂等非手术美容方面(80%)。然而,未接受整形培训的医生和组织对手术子类别的贡献与整形外科医生的分布情况相似。
获得委员会认证的整形外科医生不是照片墙上整形手术内容的主要来源。此外,在所有研究的账户类型中,整形外科医生发布的帖子参与率最低。尽管委员会认证声明将内容与整形领域区分开来,但它们仅在21%的帖子中使用。