患者门户网站的信息,以支持老年友好的健康系统,为痴呆症患者
Kelly T Gleason1, Danielle Powell2, Athena P DeGennaro1
1Johns Hopkins University School of Nursing, Baltimore, Maryland, USA.
Journal of the American Geriatrics Society
|February 27, 2024
概括
患者门户信息帮助识别痴呆症护理合作伙伴并满足他们的需求. 自然语言处理有效地识别了非患者的作者,支持年龄友好的痴呆症护理.
科学领域:
- 老年学是一门学科.
- 医疗信息学 医疗信息学
- 痴呆症护理 痴呆症护理 痴呆症护理
背景情况:
- 患者门户安全消息传递可以增强年龄友好的痴呆症护理.
- 关于护理伙伴利用患者门户网站及其与年龄友好护理相关的担忧的了解有限.
研究的目的:
- 评估通过患者门户消息自动识别护理合作伙伴的可行性.
- 确定痴呆症患者中年龄友好型卫生系统的4M领域内表达需求的频率.
主要方法:
- 进行了两部分的观察性研究.
- 开发并测试了一种基于规则的自然语言处理 (NLP) 分类系统,用于从老年人的门户消息中识别护理合作伙伴 (n=1973).
- 来自痴呆症患者的门户消息 (n=987) 的随机样本由两个独立审查员手动编码,以确定与4M (药物,思维,移动性,重要的事情) 相关的需求.
主要成果:
- 手动编码识别了13.53% (267/1973) 的来自老年人账户的消息是由非患者发送的.
- 通过NLP模型实现了0.90的曲线下的面积 (AUC),用于识别非患者的作者.
- 来自痴呆症患者的消息中有60% (601/987) 包含与4M相关的内容,其中药物 (36%),思维 (16%),移动性 (10%) 和重要内容 (21%) 的频率是特定的.
结论:
- 患者门户信息作为确定护理合作伙伴的可行道.
- 门户消息可以有效地满足痴呆症患者及其护理伙伴的信息需求.
- 这些发现支持将患者门户集成到年龄友好型痴呆症护理策略中.
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