AI Article Synopsis
- The study aimed to investigate the experiences and perceptions of Crohn's disease patients in China through an analysis of online medical community discussions.
- Data mining techniques, particularly LDA and grounded theory, were used to categorize 6,757 posts into 15 topics related to disease information, medication decisions, psychological challenges, and diet discussions.
- The research highlights the importance of social media in understanding patient perspectives, aiding healthcare providers in predicting patient concerns, improving doctor-patient communication, and informing healthcare policies.
Article Abstract
Aim: The aim of this study was to explore the experience and perceptions of patients with Crohn's disease in China.
Methods: Data mining was used to investigate posts in Crohn's disease online medical communities. The data were collected through the crawler code, and latent Dirichlet allocation (LDA) and grounded theory were used to mine the theme features after data cleaning.
Results: In analyzing the topic characteristics of online posts, LDA divided 6757 posts into 15 topics on four aspects: seeking disease information, making decisions on medication use, psychological burden, and communicating about diet and nutrition.
Conclusion: Overall, social media is patient-centric and helps us better understand the experiences and perceptions of patients. This study can help medical staff predict the thoughts and concerns of Crohn's disease patients during the treatment process, facilitate doctor-patient communication, and assist in the formulation of medical policies.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10071262 | PMC |
| http://dx.doi.org/10.1186/s12876-023-02747-x | DOI Listing |
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