在线和ChatGPT生成的关于脑瘤预后的患者教育材料未能满足可读性标准
Ishav Y Shukla1, Matthew Z Sun1
1Department of Neurological Surgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
概括
在线和人工智能生成的神经瘤学信息对患者来说太复杂了. 可读性评估显示,这些材料超过了推的等级水平,阻碍了质母细胞瘤,脑膜瘤和垂体腺瘤患者的知情决策.
科学领域:
- 神经瘤学神经瘤学
- 卫生识字 卫生识字
- 医疗保健中的人工智能
背景情况:
- 在线健康信息往往呈现出复杂的医学术语.
- 患者的理解对于明智的医疗决策至关重要.
- 神经瘤学信息的可访问性对于患者护理至关重要.
研究的目的:
- 评估在线和ChatGPT生成的关于脑瘤 (质母细胞瘤,脑膜瘤,垂体腺瘤) 的材料的可读性.
- 为了比较不同瘤类型,机构隶属,作者和来源 (网站与ChatGPT) 的可读性.
主要方法:
- 横截面研究分析谷歌搜索结果对大脑瘤预后.
- 包括每种瘤类型的前100个患者指导的英语结果.
- 使用Flesch阅读方便度,Flesch-Kincaid等级水平,炮火雾指数,科尔曼-利亚乌指数和SMOG指数进行可读性评估.
- 网站内容的比较 (按附属和审查状态分类) 与ChatGPT 4.0响应.
主要成果:
- 没有网站或ChatGPT的响应符合推的可读性基准 (六年级或八年级).
- 大多数网站是在9-12年级 (50.4%) 或本科水平 (47.9%).
- 聊天GPT的响应主要是在研究生水平 (93.3%) 和显示明显较低的可读性比网站 (p < 0.001).
结论:
- 在线和人工智能生成的神经瘤学内容都超过了推的可读性水平.
- 这种缺乏可访问性可能会阻碍患者的理解和决策能力.
- 建议包括标准化指导方针,完善AI内容,确保专业监督,并提高材料的可访问性.
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