通过社交媒体探索黄褐斑患者的需求:一项定性研究。

IF 2 3区 医学 Q2 MEDICINE, GENERAL & INTERNAL
Patient preference and adherence Pub Date : 2025-08-04 eCollection Date: 2025-01-01 DOI:10.2147/PPA.S532613
Xinjin Liu, Xu Liu, Yanbing Han, Yifei Cheng, Hongjie Luo, Yichen Liu, Dingling Li, Weihong Guo, Haoyu Jiang, Linghong Guo, Xian Jiang
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引用次数: 0

摘要

目的:采用定性分析和基于人工智能的关键词提取方法,识别黄褐斑患者在社交媒体上的主要关注点和未满足的需求。患者和方法:我们利用Facebook和百度上公开的帖子对黄褐斑患者的讨论进行了定性研究。这些数据是在2014年1月至2024年10月期间收集的。chatgpt - 40用于关键词提取和分类。结果:共分析了1106篇相关文章,发现284个唯一标签和2434个关键词。治疗和预防是讨论最多的话题,患者寻求有效、长期和负担得起的治疗信息。日常护理和心理健康占总数的29.2%,重点是护肤程序,防晒和生活方式的改变。14.8%的帖子观察了病因和临床特征,2.4%的帖子讨论了诊断和鉴别。结论:本研究通过基于人工智能的关键词提取和定性分析确定了黄褐斑患者的主要关注点,强调了医疗保健专业人员参与数字化患者教育、澄清错误信息、支持患者自我管理以及将心理健康考虑纳入黄褐斑护理的必要性。未来的研究应侧重于基于人工智能的干预措施,以提高患者的参与度和自我管理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Exploring Melasma Patients' Needs Through Social Media: A Qualitative Study.

Exploring Melasma Patients' Needs Through Social Media: A Qualitative Study.

Exploring Melasma Patients' Needs Through Social Media: A Qualitative Study.

Exploring Melasma Patients' Needs Through Social Media: A Qualitative Study.

Purpose: To identify the primary concerns and unmet needs of patients with melasma on social media using qualitative analysis and AI-based keyword extraction.

Patients and methods: We conducted a qualitative study of melasma patient discussions using publicly available posts on Facebook and Baidu. The data were collected between January 2014 and October 2024. ChatGPT-4o was used for keyword extraction and classification.

Results: A total of 1106 related posts were analyzed, revealing 284 unique tags and 2434 keywords. Treatment and prevention were the most discussed topics, with patients seeking information on effective, long-term, and affordable treatment. Daily care and mental health accounted for 29.2% of the total, focusing on skincare routines, sun protection, and lifestyle modification. Etiology and clinical features were observed in 14.8% of the posts, whereas 2.4% addressed diagnosis and differentiation.

Conclusion: This study identified key concerns of patients with melasma using AI-based keyword extraction and qualitative analysis, highlighting the need for healthcare professionals to engage in digital patient education, clarify misinformation, support patient self-management, and integrate mental health considerations into melasma care. Future research should focus on AI-based interventions to enhance patient engagement and self-management.

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来源期刊
Patient preference and adherence
Patient preference and adherence MEDICINE, GENERAL & INTERNAL-
CiteScore
3.60
自引率
4.50%
发文量
354
审稿时长
6-12 weeks
期刊介绍: Patient Preference and Adherence is an international, peer reviewed, open access journal that focuses on the growing importance of patient preference and adherence throughout the therapeutic continuum. The journal is characterized by the rapid reporting of reviews, original research, modeling and clinical studies across all therapeutic areas. Patient satisfaction, acceptability, quality of life, compliance, persistence and their role in developing new therapeutic modalities and compounds to optimize clinical outcomes for existing disease states are major areas of interest for the journal. As of 1st April 2019, Patient Preference and Adherence will no longer consider meta-analyses for publication.
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