Perceptions and Responses to Diseases among Patients with Inflammatory Bowel Disease: Text Mining Analysis of Posts on a Japanese Patient Community Website.

Q2 Medicine Inflammatory Intestinal Diseases Pub Date : 2024-10-21 eCollection Date: 2024-01-01 DOI:10.1159/000541837
Eujin Lee, Hiroaki Tsuchiya, Hajime Iida, Katsumasa Nagano, Yoko Murata, Atsuo Maemoto
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Abstract

Introduction: Patients with inflammatory bowel disease (IBD) are increasingly using online platforms to communicate with other patients and healthcare professionals seeking disease-related information and support. Free-text posts on these platforms could provide insights into patients' everyday lives, which could help improve patient care. In this proof-of-concept (POC) study, we applied text mining to extract patient needs from free-text posts on a community forum in Japan, holistically visualized the patients' perceptions and their connections, and explored the patient characteristic-dependent trends in the use of words.

Methods: Free-text posts written between May 11, 2020 and May 31, 2022 on the community forum were retrieved and subjected to text mining analysis. Trends in the use of words were extracted from the posts for correspondence and co-occurrence network analyses using KH Coder open-source text mining software.

Results: Seventy-four posts were analyzed. Using text mining methods, we successfully extracted and visualized a variety of patient concerns and their connections. The correspondence and co-occurrence analyses revealed patient segment-dependent trends in the use of words. For example, patients with a disease duration of ≤5 years were more likely to use words related to emotions or their desire to change or quit their job, such as "anxiety" and "resignation." Patients with a disease duration of >10 years were more likely to use words showing that they are finding ways to live with or accept their disease, and are getting used to the lifestyle, but some patients continued to experience worsening disease.

Conclusions: We found that free-text posts on an IBD community forum can be a useful source of information to capture the wide variety of thoughts of patients. Text mining procedures can help visualize the relative importance of the topics identified from free-text posts. Our findings of this POC study will be useful for generating new hypotheses to better understand and address the needs of patients with IBD.

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炎症性肠病患者对疾病的认知和反应:日本患者社区网站帖子的文本挖掘分析
炎症性肠病(IBD)患者越来越多地使用在线平台与其他患者和医疗保健专业人员交流,寻求疾病相关信息和支持。这些平台上的自由文本帖子可以提供对患者日常生活的洞察,这有助于改善患者的护理。在这项概念验证(POC)研究中,我们应用文本挖掘从日本一个社区论坛上的自由文本帖子中提取患者需求,全面可视化患者的感知及其联系,并探索患者在词汇使用方面的特征依赖趋势。方法:检索2020年5月11日至2022年5月31日在社区论坛上发表的自由文本帖子,并进行文本挖掘分析。利用开源文本挖掘软件KH Coder从帖子中提取词汇使用趋势,进行通信和共现网络分析。结果:共分析74篇帖子。使用文本挖掘方法,我们成功地提取和可视化了患者的各种关注点及其联系。对应性和共现性分析揭示了患者在词汇使用上的分段依赖趋势。例如,病程≤5年的患者更有可能使用与情绪或他们改变或辞职的愿望相关的词汇,如“焦虑”和“辞职”。病程超过10年的患者更有可能使用表明他们正在寻找与疾病共存或接受疾病的方法,并正在习惯这种生活方式的词语,但一些患者继续经历疾病恶化。结论:我们发现IBD社区论坛上的自由文本帖子可以成为捕获患者各种想法的有用信息来源。文本挖掘程序可以帮助可视化从自由文本帖子中确定的主题的相对重要性。我们这项POC研究的发现将有助于产生新的假设,以更好地理解和解决IBD患者的需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Inflammatory Intestinal Diseases
Inflammatory Intestinal Diseases Medicine-Gastroenterology
CiteScore
4.50
自引率
0.00%
发文量
6
审稿时长
20 weeks
期刊最新文献
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