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Logistic Red Flags in Mass-Casualty Incidents and Disasters: A Problem-Based Approach

  • Lorenzo Gamberini
  • , Guglielmo Imbriaco
  • , Pier Luigi Ingrassia
  • , Carlo Alberto Mazzoli
  • , Stefano Badiali
  • , Davide Colombo
  • , Luca Carenzo
  • , Alfonso Flauto
  • , Marco Tengattini
  • , Federico Merlo
  • , Massimo Azzaretto
  • , Alessandro Monesi
  • , Fernando Candido
  • , Carlo Coniglio
  • , Giovanni Gordini
  • , Francesco Della Corte

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Mass-casualty incidents (MCIs) and disasters are characterized by a high heterogeneity of effects and may pose important logistic challenges that could hamper the emergency rescue operations. The main objective of this study was to establish the most frequent logistic challenges (red flags) observed in a series of Italian disasters with a problem-based approach and to verify if the 80-20 rule of the Pareto principle is respected. Methods: A series of 138 major events from 1944 through 2020 with a Disaster Severity Score (DSS) ≥ four and five or more victims were analyzed for the presence of twelve pre-determined red flags. A Pareto graph was built considering the most frequently observed red flags, and eventual correlations between the number of red flags and the components of the DSS were investigated. Results: Eight out of twelve red flags covered 80% of the events, therefore not respecting the 80-20 rule; the number of red flags showed a low positive correlation with most of the components of the DSS score. The Pareto analysis showed that potential hazards, casualty nest area > 2.5km 2 , number of victims over 50, evacuation noria over 20km, number of nests > five, need for extrication, complex access to victims, and complex nest development were the most frequently observed red flags. Conclusions: Logistic problems observed in MCIs and disaster scenarios do not follow the 80-20 Pareto rule; this demands for careful and early evaluation of different logistic red flags to appropriately tailor the rescue response.

Original languageEnglish
Pages (from-to)197-204
Number of pages8
JournalPrehospital and Disaster Medicine
Volume37
Issue number2
DOIs
Publication statusPublished - 3 Apr 2022

Keywords

  • disaster medicine
  • major incident
  • mass-casualty incident
  • standardized data
  • uniform reporting

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