开发一个核心预测器集的关键病人的断奶:一个基于德尔菲的研究协议协议
Danqiong Wang1,2, Linya He2, Yan Chen2
1Department of Critical Care Medicine, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China.
本研究开发了一套核心预测器,用于ICU中的机械通风断奶准备,使用国际功能,残疾和健康分类 (ICF) 模型和Delphi方法. 这旨在通过标准化准备性评估来提高患者的治疗结果和医疗保健效率.
科学领域:
- 临界护理医学 临界护理医学
- 康复科学 康复科学 康复科学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 在ICU中长时间的机械通风与增加的发病率,死亡率和成本有关.
- 准确预测断奶成功对于资源优化和患者结果至关重要.
- 功能,残疾和健康国际分类 (ICF) 框架为评估健康状况提供了一个全面的模型.
研究的目的:
- 开发一个基于Delphi的核心预测器,用于关键病患者的断奶准备.
- 利用ICF模型来识别关键预测因素,包括对患者功能的整体观点.
- 建立一个标准化,以证据为基础的工具,以改善断奶决策.
主要方法:
- 系统的文献审查,以确定潜在的断奶预测因素.
- 确定预测因子与ICF类别的调整.
- 与多学科专家小组一起进行了三轮的Delphi调查,以达成关于预测器相关性的共识.
主要成果:
- 将建立一个以共识驱动的核心预测器,用于断奶准备.
- 预测器集将以ICF框架为基础,确保全面的方法.
- 研究协议概述了开发这种基于证据的工具的严格方法.
结论:
- 开发的预测器集旨在加强对断奶试验的临床决策.
- 实施可以减少不必要的机械通风持续时间,改善患者的治疗结果.
- 需要进一步的验证和实施研究来确认临床实用性和通用性.
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