
Summary Emergency airway management, particularly outside of the operating room, is associated with a high incidence of life‐threatening adverse events. Based on the recommendations of the 4th National Audit Project, we aimed to develop hospital‐wide systems changes to improve the safety of emergency airway management. We describe a framework for governance in the form of a hospital airway special interest group. We describe the development and implementation of the following systems changes: 1. A local intubation algorithm modified from the Difficult Airway Society's plan A‐B‐C‐D approach, including clear pathways for airway escalation, and emphasizing the concepts of resuscitation prior to intubation, planning for failure, and avoidance of fixation error. 2. Simplified and standardized airway equipment located in identical airway carts in all critical care areas. 3. A preintubation checklist and equipment template to standardize preparation for airway management. 4. Availability of continuous waveform endtidal capnography in all critical care areas for confirmation of correct endotracheal tube placement. 5. Multidisciplinary team training to address the technical and nontechnical aspects of nonoperating room intubation. In addition, we describe methodology for ongoing monitoring of performance through a quality assurance framework. In conclusion, changes in the process of emergency airway management at a hospital level are feasible through collaboration. Their impact on patient‐based outcomes requires further study.
Emergency Medical Services, Adolescent, Critical Care, Infant, Newborn, 610, Infant, Hospitals, Pediatric, Checklist, Clinical Protocols, Capnography, Child, Preschool, 617, Intubation, Intratracheal, Humans, Airway Management, Child, Algorithms, Monitoring, Physiologic
Emergency Medical Services, Adolescent, Critical Care, Infant, Newborn, 610, Infant, Hospitals, Pediatric, Checklist, Clinical Protocols, Capnography, Child, Preschool, 617, Intubation, Intratracheal, Humans, Airway Management, Child, Algorithms, Monitoring, Physiologic
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