Alsafi Nour, Alsafi Ali
Radiology Department, The Hillingdon Hospital NHS Foundation Trust, Uxbridge, UK.
Imaging Department, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK.
Ultrasound. 2021 Feb;29(1):44-47. doi: 10.1177/1742271X20920908. Epub 2020 Apr 26.
Social media has become an integral part of our daily life with 38 million users in the UK alone and the average user being logged-in for 135 minutes daily. Social media is increasingly used to disseminate learning in a variety of fields including medicine.
The aim of this study was to assess the proportion of Instagram posts using #ultrasound for educational content and compare this with #radiology. We also aimed to assess the changes in the use of the newly introduced #UltrasoundEd for ultrasound education since its introduction in November 2018.
Instagram searches were conducted using the hashtags: #ultrasound and #radiology, and the content of the first 100 posts from each search was analysed and classified into being either social or educational. A second search using #UltrasoundEd was conducted at baseline, 3 months and 12 months. Fisher's exact test was used to compare categorical data.
The searches retrieved 461,884 #ultrasound and 243,011 #radiology posts. From the first 100 #ultrasound posts, 11 were educational and 89 were social. The social posts predominantly related to announcements of pregnancy. Of the 100 #radiology posts, 49 were educational, while 51 were classified as social. The number of posts with the hashtag #UltrasoundEd increased over the study period from 15 to 232, with the majority of posts being educational.
Educational ultrasound content is difficult to separate from social posts on Instagram. The use of the hashtag #UltrasoundEd makes educational ultrasound content more readily identifiable.
社交媒体已成为我们日常生活中不可或缺的一部分，仅在英国就有3800万用户，平均每位用户每天登录135分钟。社交媒体越来越多地被用于传播包括医学在内的各个领域的知识。
本研究旨在评估使用#超声标签发布的用于教育内容的Instagram帖子的比例，并将其与#放射学标签进行比较。我们还旨在评估自2018年11月推出新标签#超声教育以来，其在超声教育中的使用变化。
使用#超声和#放射学标签在Instagram上进行搜索，并对每次搜索的前100条帖子的内容进行分析，分为社交类或教育类。在基线、3个月和12个月时使用#超声教育标签进行第二次搜索。采用Fisher精确检验比较分类数据。
搜索共检索到461,884条#超声帖子和243,011条#放射学帖子。在前100条#超声帖子中，11条为教育类，89条为社交类。社交类帖子主要与怀孕公告有关。在100条#放射学帖子中。49条为教育类，51条为社交类。在研究期间，带有#超声教育标签的帖子数量从15条增加到232条，大多数帖子为教育类。
在Instagram上，教育性超声内容很难与社交帖子区分开来。使用#超声教育标签使教育性超声内容更容易识别。
