术后急性护理的活动措施,以预测手术后的出院目的地
Daniel S Rubin1, Rachel Baccile2, Abraham Trachtman3
1Department of Anesthesia and Critical Care, University of Chicago, Chicago, Illinois, USA.
后急性护理活动量度 (AM-PAC) 模型和美国外科医生院国家外科质量改善计划 (NSQIP) 风险计算器在预测后急性护理出院时显示出类似的准确性. 这两种模型都有效地识别了住院后需要进一步护理的患者.
科学领域:
- 医疗保健研究成果研究结果
- 改善外科手术的质量.
- 医学中的预测建模.
背景情况:
- 准确预测出院安排对于医疗保健资源分配至关重要.
- 现有的风险计算器在预测急性后护理需求方面的性能各不相同.
- 后急性护理活动测量 (AM-PAC) 是一种具有潜在预测能力的功能评估工具.
研究的目的:
- 为了比较AM-PAC模型的预测性能与美国外科医生学院建立的国家外科质量改进计划 (NSQIP) 风险计算器.
- 评估AM-PAC模型在识别可能被送往急症后护理的患者中的实用性.
- 评估两个模型的接收器运行特征曲线 (AUC) 下的面积.
主要方法:
- 对患者数据的回顾性分析.
- 在AM-PAC和NSQIP模型中计算接收器运行特征曲线 (AUC) 下的面积.
- 两种模型之间的预测准确性的统计比较.
主要成果:
- 该AM-PAC模型显示AUC与NSQIP风险计算器可比,用于预测退院后急性护理.
- 两种模型都表现出类似的性能,这表明AM-PAC工具是预测急性后护理需求的可行选择.
- 详细的AUC值表明每个模型的区分能力.
结论:
- 在AM-PAC模型提供可比的预测准确性,以NSQIP的风险计算器为后急性护理释放.
- 医疗保健提供者可以将AM-PAC工具视为预测患者情绪的有效措施.
- 进一步的研究可能会探索整合功能状态数据以提高预测准确度.
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