OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.
OBJECTIVE: 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. METHODS: 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. RESULTS: 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 illpatients; Category B included statements for stable and cooperative critically illpatients, 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. CONCLUSION: 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.
Authors: T Bein; M Bischoff; U Brückner; K Gebhardt; D Henzler; C Hermes; K Lewandowski; M Max; M Nothacker; T Staudinger; M Tryba; S Weber-Carstens; H Wrigge Journal: Anaesthesist Date: 2015-08 Impact factor: 1.041
Authors: Bronwen Connolly; Lisa Salisbury; Brenda O'Neill; Louise Geneen; Abdel Douiri; Michael P W Grocott; Nicholas Hart; Timothy S Walsh; Bronagh Blackwood Journal: Cochrane Database Syst Rev Date: 2015-06-22