Impact of the COVID-19 Pandemic and the 2021 National Institute for Health and Care Excellence Guidelines on Public Perspectives Toward Myalgic Encephalomyelitis/Chronic Fatigue Syndrome: Thematic and Sentiment Analysis on Twitter (Rebranded as X).

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Iliya Khakban, Shagun Jain, Joseph Gallab, Blossom Dharmaraj, Fangwen Zhou, Cynthia Lokker, Wael Abdelkader, Dena Zeraatkar, Jason W Busse
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引用次数: 0

Abstract

Background: Myalgic encephalomyelitis (ME), also referred to as chronic fatigue syndrome (CFS), is a complex illness that typically presents with disabling fatigue and cognitive and functional impairment. The etiology and management of ME/CFS remain contentious and patients often describe their experiences through social media.

Objective: We explored public discourse on Twitter (rebranded as X) to understand the concerns and priorities of individuals living with ME/CFS, with a focus on (1) the COVID-19 pandemic and (2) publication of the 2021 UK National Institute for Health and Care Excellence (NICE) guidelines on the diagnosis and management of ME/CFS.

Methods: We used the Twitter application programming interface to collect tweets related to ME/CFS posted between January 1, 2010, and January 30, 2024. Tweets were sorted into 3 chronological periods (pre-COVID-19 pandemic, post-COVID-19 pandemic, and post-UK 2021 NICE Guidelines publication). A Robustly Optimized Bidirectional Embedding Representations from Transformers Pretraining Approach (RoBERTa) language processing model was used to categorize the sentiment of tweets as positive, negative, or neutral. We identified tweets that mentioned COVID-19, the UK NICE guidelines, and key themes identified through latent Dirichlet allocation (ie, fibromyalgia, research, and treatment). We sampled 1000 random tweets from each theme to identify subthemes and representative quotes.

Results: We retrieved 906,404 tweets, of which 427,824 (47.2%) were neutral, 369,371 (40.75%) were negative, and 109,209 (12.05%) were positive. Over time, both the proportion of negative and positive tweets increased, and the proportion of neutral tweets decreased (P<.001 for all changes). Tweets mentioning fibromyalgia acknowledged similarities with ME/CFS, stigmatization associated with both disorders, and lack of effective treatments. Treatment-related tweets often described frustration with ME/CFS labeled as mental illness, dismissal of concerns by health care providers, and the need to seek out "good physicians" who viewed ME/CFS as a physical disorder. Tweets on research typically praised studies of biomarkers and biomedical therapies, called for greater investment in biomedical research, and expressed frustration with studies suggesting a biopsychosocial etiology for ME/CFS or supporting management with psychotherapy or graduated activity. Tweets about the UK NICE guidelines expressed frustration with the 2007 version that recommended cognitive behavioral therapy and graded exercise therapy, and a prolonged campaign by advocacy organizations to influence subsequent versions. Tweets showed high acceptance of the 2021 UK NICE guidelines, which were seen to validate ME/CFS as a biomedical disease and recommended against graded exercise therapy. Tweets about COVID-19 often noted overlaps between post-COVID-19 condition and ME/CFS, including claims of a common biological pathway, and advised there was no cure for either condition.

Conclusions: Our findings suggest research is needed to inform how best to support patients' engagement with evidence-based care. Furthermore, while patient involvement with ME/CFS research is critical, unmanaged intellectual conflicts of interest may threaten the trustworthiness of research efforts.

2019冠状病毒病大流行的影响和2021年国家卫生与护理卓越研究所关于公众对肌痛性脑脊髓炎/慢性疲劳综合征的看法的指南:推特(更名为X)的主题和情绪分析。
背景:肌痛性脑脊髓炎(Myalgic encephalomyelitis, ME),也被称为慢性疲劳综合征(chronic fatigue syndrome, CFS),是一种复杂的疾病,通常表现为致残性疲劳以及认知和功能障碍。ME/CFS的病因和治疗仍然存在争议,患者经常通过社交媒体描述他们的经历。目的:我们探索Twitter(更名为X)上的公共话语,以了解ME/CFS患者的关注点和优先事项,重点关注(1)2019冠状病毒病大流行和(2)2021年英国国家健康与护理卓越研究所(NICE)关于ME/CFS诊断和管理指南的出版。方法:使用Twitter应用程序编程接口收集2010年1月1日至2024年1月30日期间发布的与ME/CFS相关的推文。推文按时间顺序分为3个时期(covid -19大流行前、covid -19大流行后和英国2021年NICE指南出版后)。利用基于变形金刚预训练方法(RoBERTa)的鲁棒优化双向嵌入表示语言处理模型对推文的情绪进行了积极、消极和中性的分类。我们确定了提到COVID-19、英国NICE指南以及通过潜在狄利克雷分配确定的关键主题(即纤维肌痛、研究和治疗)的推文。我们从每个主题中随机抽取1000条推文,以确定子主题和代表性引用。结果:共检索到906404条推文,其中中性427824条(47.2%),负面369371条(40.75%),正面109209条(12.05%)。随着时间的推移,负面和正面推文的比例都增加了,而中性推文的比例减少了(结论:我们的研究结果表明,需要研究来告知如何最好地支持患者参与循证护理。此外,尽管患者参与ME/CFS研究至关重要,但未经管理的智力利益冲突可能会威胁到研究工作的可信度。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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