用于早期识别晚期慢性病患者的息治疗需求的查工具:最新的系统性审查
Ana Bustamante-Fermosel1,2,3, Agustín Diego Chacón-Moreno4, Laetitia Hennekinne2
1Palliative Care, Hospital Universitario Infanta Leonor-Virgen de la Torre, 28031 Madrid, Spain.
Journal of clinical medicine
|February 13, 2026
概括
确定患者需要早期的息护理至关重要. 目前的查工具,包括基于人工智能的查工具,对预测死亡率以外的息护理需求的能力有限,需要改进方法.
科学领域:
- 抚慰性护理医学 抚慰性护理医学
- 医疗信息学 医疗信息学
- 生物统计学 生物统计学
背景情况:
- 早期的息治疗改善了晚期疾病的结果.
- 关键的好处包括缓解症状,提高生活质量和降低医疗保健成本.
- 及时识别患者对于有效的干预至关重要.
研究的目的:
- 系统地审查和评估用于识别有资格接受早期息治疗的患者的工具.
- 评估传统开发的和基于人工智能 (AI) 的选仪器.
- 评估现有的查方法的有效性.
主要方法:
- 对6个电子数据库的系统审查 (2000-2025年).
- 包括描述或评估成年人息护理需求查工具的研究.
- 双重审查员选和数据提取.
主要成果:
- 包括35项研究:13项工具开发,22项外部验证.
- 9种传统开发的工具,4种使用人工智能.
- 设计中的异质性;大多数工具专注于死亡率预测,忽视了心理社会方面.
- 在各种工具中观察到适度的预测能力.
结论:
- 目前的查工具在识别晚期疾病和息护理需求的患者的能力有限.
- 需要标准化查流程,以解决疾病轨迹和功能衰退,而不仅仅是死亡率.
- 需要进一步的研究来提高预测能力和整体评估.
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