School of Nursing, The University of Texas at Austin, Austin, Texas.
Center for Health Communication, Moody College of Communication, The University of Texas at Austin, Austin, Texas.
Sci Diabetes Self Manag Care. 2023 Apr;49(2):101-111. doi: 10.1177/26350106231158828. Epub 2023 Mar 10.
The purpose of this study is to use text-mining methods to examine the dominant sources of online information and content about continuous glucose monitors (CGMs). Because the internet is the most popular source for health information, it is important to understand what is being said about CGMs in online sources of information.
A text miner, algorithmic-driven statistical program was used to identify the main sources of online information and topics on CGMs. Content was limited to English and was posted from August 1, 2020, to August 4, 2022. Using Brandwatch software, 17 940 messages were identified. After cleaning, there were 10 677 messages in final analyses conducted using SAS Text Miner V.12.1 software.
The analysis identified 20 topics that formed 7 themes. Results show that most online information comes from news sources and focuses on the general benefits of CGM use. Beneficial aspects ranged from improvements in self-management behaviors, cost, and glucose levels. None of the themes mentioned changes to practice, research, or policies related to CGM.
To improve diffusion of information and innovations going forward, novel ways of information sharing should be explored, such as diabetes specialist, provider, and researcher engagement in social media and digital storytelling.
本研究旨在使用文本挖掘方法来研究关于连续血糖监测仪 (CGM) 的在线信息和内容的主要来源。由于互联网是最受欢迎的健康信息来源，因此了解互联网上关于 CGM 的信息非常重要。
使用算法驱动的统计程序文本挖掘器来识别 CGM 在线信息的主要来源和主题。内容仅限于英文，发布时间为 2020 年 8 月 1 日至 2022 年 8 月 4 日。使用 Brandwatch 软件，共识别出 17940 条消息。经过清理后，使用 SAS Text Miner V.12.1 软件对 10677 条消息进行最终分析。
分析确定了 20 个主题，形成了 7 个主题。结果表明，大多数在线信息来自新闻来源，重点关注 CGM 使用的一般益处。有益方面包括改善自我管理行为、成本和血糖水平。没有一个主题提到与 CGM 相关的实践、研究或政策的变化。
为了提高信息传播和创新的效果，应该探索新的信息共享方式，例如糖尿病专家、提供者和研究人员在社交媒体和数字故事讲述方面的参与。
