Department of Interdisciplinary Health Sciences, Faculty of Health Sciences, Stellenbosch University, Cape Town, South Africa.
Clin Rehabil. 2011 Sep;25(9):771-87. doi: 10.1177/0269215510397677. Epub 2011 Apr 19.
To facilitate knowledge synthesis and implementation of evidence supporting early physical activity and mobilization of adult patients in the intensive care unit and its translation into practice, we developed an evidence-based clinical management algorithm.
Twenty-eight draft algorithm statements extracted from the extant literature by the primary research team were verified and rated by scientist clinicians (n = 7) in an electronic three round Delphi process. Algorithm statements which reached a priori defined consensus - semi-interquartile range <0.5 - were collated into the algorithm.
The draft algorithm statements were edited and six additional statements were formulated. The 34 statements related to assessment and treatment were grouped into three categories. Category A included statements for unconscious critically ill patients; Category B included statements for stable and cooperative critically ill patients, and Category C included statements related to stable patients with prolonged critical illness. While panellists reached consensus on the ratings of 94% (32/34) of the algorithm statements, only 50% (17/34) of the statements were rated essential.
The evidence-based clinical management algorithm developed through an established Delphi process of consensus by an international inter-professional panel provides the clinician with a synthesis of current evidence and clinical expert opinion. This framework can be used to facilitate clinical decision making within the context of a given patient. The next step is to determine the clinical utility of this working algorithm.
为了促进知识综合和实施支持成人 ICU 患者早期活动和动员的证据,并将其转化为实践,我们制定了一个基于证据的临床管理算法。
从主要研究团队从现有文献中提取的 28 个算法草案陈述,由科学家临床医生(n=7)在电子三轮 Delphi 过程中进行验证和评分。达到事先定义共识的算法陈述 - 半四分位距 <0.5 - 被整理到算法中。
对草案算法陈述进行了编辑,并制定了另外六个陈述。与评估和治疗相关的 34 个陈述分为三类。类别 A 包括无意识危重患者的陈述;类别 B 包括稳定和合作的危重患者的陈述,类别 C 包括与长期危重稳定患者相关的陈述。虽然小组成员对 94%(32/34)的算法陈述的评分达成共识,但只有 50%(17/34)的陈述被评为必要。
通过国际跨专业小组的共识 Delphi 过程制定的基于证据的临床管理算法为临床医生提供了当前证据和临床专家意见的综合。这个框架可以用于在特定患者的情况下促进临床决策。下一步是确定这个工作算法的临床实用性。