评估PIFP上的在线健康信息:对内容质量和可读性进行跨平台分析
Dina Taimeh1,2, Alaa Atef3, Hamza Abu Shawish4
1Department of Oral and Maxillofacial Surgery, Oral Medicine and Periodontology, School of Dentistry, The University of Jordan, Amman, Jordan. D.taimeh@ju.edu.jo.
Scientific reports
|November 18, 2025
概括
在线关于持久性异常性面部疼痛 (PIFP) 的信息难以阅读,质量不佳. 人工智能内容更容易理解,但对这种面部疼痛状况提供的实际建议较少.
科学领域:
- 医疗信息学 医疗信息学
- 卫生沟通健康沟通
- 疼痛管理 疼痛管理
背景情况:
- 持久性异常性面部疼痛 (PIFP) 或非典型的面部疼痛是鲜为人知的.
- 患者经常在网上寻找PIFP的信息,需要准确和可用的资源.
- 在线健康信息的质量对于患者的决策至关重要.
研究的目的:
- 将PIFP在线内容的可读性,质量和可用性与传统搜索引擎和生成AI进行比较.
- 评估患者教育材料的可理解性和可操作性.
- 通过建立的基准来评估内容质量.
主要方法:
- 对PIFP的谷歌,ChatGPT和Gemini搜索结果进行横截面比较分析.
- 使用患者教育材料评估工具 (PEMAT) 和JAMA基准进行评估.
- 可读性通过Flesch阅读方便和SMOG公式进行评估.
主要成果:
- 44.1%的传统网站至少符合JAMA的一项质量基准;AI内容没有达到.
- 人工智能内容比网站 (64.96%) 更容易理解 (83.31%).
- 网站的可操作性高 (25.25%) 比人工智能内容高 (11%);所有来源都难以阅读.
结论:
- 在线PIFP信息往往缺乏质量和可操作的指导,尽管可理解性各不相同.
- 人工智能生成的内容提高了可理解性,但缺乏PIFP的实际建议.
- 需要加强合作,为PIFP创建高质量,可理解和有用的在线资源.
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