{"title":"Exploring Melasma Patients' Needs Through Social Media: A Qualitative Study.","authors":"Xinjin Liu, Xu Liu, Yanbing Han, Yifei Cheng, Hongjie Luo, Yichen Liu, Dingling Li, Weihong Guo, Haoyu Jiang, Linghong Guo, Xian Jiang","doi":"10.2147/PPA.S532613","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To identify the primary concerns and unmet needs of patients with melasma on social media using qualitative analysis and AI-based keyword extraction.</p><p><strong>Patients and methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":19972,"journal":{"name":"Patient preference and adherence","volume":"19 ","pages":"2333-2341"},"PeriodicalIF":2.0000,"publicationDate":"2025-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12334853/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Patient preference and adherence","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/PPA.S532613","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.