Factors affecting the accuracy of prehospital triage application and prehospital scene time in simulated mass casualty incidents. in Scandinavian journal of trauma, resuscitation and emergency medicine / Scand J Trauma Resusc Emerg Med. 2024 Sep 26;32(1):97. doi: 10.1186/s13049-024-01257-3.

2024
ASL Novara

Tipo pubblicazione

Journal Article

Autori/Collaboratori (8)Vedi tutti...

Carenzo L
Department of Anesthesia and Intensive Care Medicine, IRCCS Humanitas Research Hospital, Humanitas Clinical and Research Center - IRCCS, Via Manzoni 56, 20089, Rozzano, MI, Italy. luca.carenzo@hunimed.eu.
Gamberini L
Department of Anesthesia, Intensive Care and Prehospital Emergency, Maggiore Hospital Carlo Alberto Pizzardi, Bologna, Italy.
Crimaldi F
Department of Anesthesia and Critical Care, Ospedale "Ss. Trinità", Borgomanero, Italy.

et alii...

Abstract

BACKGROUND: The contemporary management of mass casualty incidents (MCIs) relies on the effective application of predetermined, dedicated response plans based on current best evidence. Currently, there is limited evidence regarding the factors influencing the accuracy of first responders (FRs) in applying the START protocol and the associated prehospital times during the response to MCIs. The objective of this study was to investigate factors affecting FRs' accuracy in performing prehospital triage in a series of simulated mass casualty exercises. Secondly, we assessed factors affecting triage-to-scene exit time in the same series of exercises. METHODS: This retrospective study focused on simulated casualties in a series of simulated MCIs Full Scale Exercises. START triage was the triage method of choice. For each Full-Scale Exercise (FSEx), collected data included exercise and casualty-related information, simulated casualty vital parameters, simulated casualty anatomic lesions, scenario management times, and responder experience. RESULTS: Among the 1090 casualties included in the primary analysis, 912 (83.6%) were correctly triaged, 137 (12.6%) were overtriaged, and 41 (3.7%) were undertriaged. The multinomial regression model indicated that increasing heart rate (RRR?=?1.012, p?=?0.008), H-AIS (RRR?=?1.532, p?