Pérez-Pérez Martín, Pérez-Rodríguez Gael, Fdez-Riverola Florentino, Lourenço Anália
Department of Computer Science, University of Vigo, Escuela Superior de Ingeniería Informática, Ourense, Spain.
Biomedical Research Centre, Campus Universitario Lagoas-Marcosende, Vigo, Spain.
J Med Internet Res. 2019 Aug 15;21(8):e12610. doi: 10.2196/12610.
Nowadays, the use of social media is part of daily life, with more and more people, including governments and health organizations, using at least one platform regularly. Social media enables users to interact among large groups of people that share the same interests and suffer the same afflictions. Notably, these channels promote the ability to find and share information about health and medical conditions.
This study aimed to characterize the bowel disease (BD) community on Twitter, in particular how patients understand, discuss, feel, and react to the condition. The main questions were as follows: Which are the main communities and most influential users?; Where are the main content providers from?; What are the key biomedical and scientific topics under discussion? How are topics interrelated in patient communications?; How do external events influence user activity?; What kind of external sources of information are being promoted?
To answer these questions, a dataset of tweets containing terms related to BD conditions was collected from February to August 2018, accounting for a total of 24,634 tweets from 13,295 different users. Tweet preprocessing entailed the extraction of textual contents, hyperlinks, hashtags, time, location, and user information. Missing and incomplete information about the user profiles was completed using different analysis techniques. Semantic tweet topic analysis was supported by a lexicon-based entity recognizer. Furthermore, sentiment analysis enabled a closer look into the opinions expressed in the tweets, namely, gaining a deeper understanding of patients' feelings and experiences.
Health organizations received most of the communication, whereas BD patients and experts in bowel conditions and nutrition were among those tweeting the most. In general, the BD community was mainly discussing symptoms, BD-related diseases, and diet-based treatments. Diarrhea and constipation were the most commonly mentioned symptoms, and cancer, anxiety disorder, depression, and chronic inflammations were frequently part of BD-related tweets. Most patient tweets discussed the bad side of BD conditions and other related conditions, namely, depression, diarrhea, and fibromyalgia. In turn, gluten-free diets and probiotic supplements were often mentioned in patient tweets expressing positive emotions. However, for the most part, tweets containing mentions to foods and diets showed a similar distribution of negative and positive sentiments because the effects of certain food components (eg, fiber, iron, and magnesium) were perceived differently, depending on the state of the disease and other personal conditions of the patients. The benefits of medical cannabis for the treatment of different chronic diseases were also highlighted.
This study evidences that Twitter is becoming an influential space for conversation about bowel conditions, namely, patient opinions about associated symptoms and treatments. So, further qualitative and quantitative content analyses hold the potential to support decision making among health-related stakeholders, including the planning of awareness campaigns.
如今,社交媒体的使用已成为日常生活的一部分,包括政府和卫生组织在内,越来越多的人经常使用至少一个平台。社交媒体使用户能够在拥有相同兴趣和遭受相同痛苦的大群体中进行互动。值得注意的是,这些渠道提升了查找和分享健康与医疗状况信息的能力。
本研究旨在描述推特上的肠道疾病(BD)社群,特别是患者如何理解、讨论、感受和应对这种疾病。主要问题如下:主要社群和最具影响力的用户有哪些?主要内容提供者来自哪里?正在讨论的关键生物医学和科学主题是什么?患者交流中的主题是如何相互关联的?外部事件如何影响用户活动?正在推广哪种外部信息来源?
为回答这些问题,收集了2018年2月至8月包含与BD疾病相关术语的推文数据集,共计来自13295个不同用户的24634条推文。推文预处理包括提取文本内容、超链接、主题标签、时间、地点和用户信息。使用不同的分析技术补充用户资料中缺失和不完整的信息。基于词典的实体识别器支持推文语义主题分析。此外,情感分析有助于更深入地了解推文中表达的观点,即更深入地了解患者的感受和经历。
卫生组织收到的交流最多,而BD患者以及肠道疾病和营养方面的专家是推文最多的群体。总体而言,BD社群主要讨论症状、与BD相关的疾病以及基于饮食的治疗方法。腹泻和便秘是最常被提及的症状,癌症、焦虑症、抑郁症和慢性炎症经常出现在与BD相关的推文中。大多数患者推文讨论了BD疾病及其他相关疾病的负面影响,即抑郁症、腹泻和纤维肌痛。反过来,在表达积极情绪的患者推文中,经常提到无麸质饮食和益生菌补充剂。然而,在很大程度上,提及食物和饮食的推文显示出负面和正面情绪的分布相似,因为某些食物成分(如纤维、铁和镁)的影响因疾病状态和患者的其他个人情况而被不同地感知。医用大麻对治疗不同慢性病的益处也得到了强调。
本研究证明推特正成为一个关于肠道疾病交流的有影响力的空间,即患者对相关症状和治疗的看法。因此,进一步的定性和定量内容分析有可能支持包括健康意识活动规划在内的与健康相关的利益相关者的决策。