Establishing quality indicators for prehospital advanced airway management: a modified nominal group technique consensus process

Autor: Stephen J. M. Sollid, David Lockey, Andreas J. Krüger, Geir A. Sunde, Pierre-Nicolas Carron, Jo Røislien, John-Kenneth Heltne, Alexandre Kottmann
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: British Journal of Anaesthesia
British journal of anaesthesia, vol. 128, no. 2, pp. e143-e150
Popis: Background: Prehospital advanced airway management is a complex intervention composed of numerous steps, interactions, and variables that can be delivered to a high standard in the prehospital setting. Standard research methods have struggled to evaluate this complex intervention because of considerable heterogeneity in patients, providers, and techniques. In this study, we aimed to develop a set of quality indicators to evaluate prehospital advanced airway management. Methods: We used a modified nominal group technique consensus process comprising three email rounds and a consensus meeting among a group of 16 international experts. The final set of quality indicators was assessed for usability according to the National Quality Forum Measure Evaluation Criteria. Results: Seventy-seven possible quality indicators were identified through a narrative literature review with a further 49 proposed by panel experts. A final set of 17 final quality indicators composed of three structure-, nine process-, and five outcome-related indicators, was identified through the consensus process. The quality indicators cover all steps of prehospital advanced airway management from preoxygenation and use of rapid sequence induction to the ventilatory state of the patient at hospital delivery, prior intubation experience of provider, success rates and complications. Conclusions: We identified a set of quality indicators for prehospital advanced airway management that represent a practical tool to measure, report, analyse, and monitor quality and performance of this complex intervention. publishedVersion
Databáze: OpenAIRE