通过社交媒体探索梅拉斯马患者的需求:一项定性研究
Xinjin Liu1,2, Xu Liu1,2, Yanbing Han1,2
1Department of Dermatology, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Patient preference and adherence
|August 11, 2025
概括
瘤患者在网上寻求有效,负担得起的治疗方法和日常护理建议. 人工智能对社交媒体的分析揭示了瘤患者在治疗,预防和心理健康支持方面的未满足需求.
科学领域:
- 皮肤病学和计算社会科学
- 医疗保健中的人工智能
- 患者报告的结果
背景情况:
- 黑色素是一种常见的超色素障碍,影响生活质量.
- 患者越来越多地使用社交媒体平台来讨论健康问题.
- 在线了解患者需求可以为医疗保健策略提供信息.
研究的目的:
- 为了确定主要的担忧和未满足的需要的乳腺癌患者.
- 利用定性分析和基于AI的关键词提取来获得洞察力.
- 分析社交媒体平台上的患者讨论.
主要方法:
- 在Facebook和百度 (Jan 2014-Oct 2024) 上公开的疹患者讨论的定性研究.
- 使用ChatGPT-4o进行AI驱动的关键词提取和分类.
- 分析了1106个帖子,确定了284个独特标签和2434个关键词.
主要成果:
- 治疗和预防是关键话题,对有效的,长期的,负担得起的选择有需求.
- 每日护理和心理健康占讨论的29.2% (护肤,防晒,生活方式).
- 病因学,临床特征,诊断和区分的讨论较少.
结论:
- 人工智能分析发现了患者对血病的关键担忧.
- 医疗保健专业人员应该加强数字患者教育,打击错误信息.
- 整合心理健康支持和人工智能干预对瘤护理至关重要.
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