The development of a clinical management algorithm for early physical activity and mobilization of critically ill patients: synthesis of evidence and expert opinion and its translation into practice

Author:

Hanekom Susan1,Gosselink Rik2,Dean Elizabeth3,van Aswegen Helena4,Roos Ronel5,Ambrosino Nicolino6,Louw Quinette1

Affiliation:

1. Department of Interdisciplinary Health Sciences, Faculty of Health Sciences, Stellenbosch University, Cape Town, South Africa

2. Faculty of Kinesiology and Rehabilitation Sciences, Katholieke Universiteit Leuven, Tervuursevest, Leuven, Belgium

3. Department of Physical Therapy, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada

4. Physiotherapy Department, Faculty of Health Sciences, University of the Witwatersrand, Parktown, South Africa

5. Department of Physiotherapy, Medical School, University of the Witwatersrand, Parktown, South Africa

6. Cardio-Thoracic Department, University Hospital Pisa, Weaning Centre–Auxilium Vitae Volterra, Italy

Abstract

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.

Publisher

SAGE Publications

Subject

Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation

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