Logistic Red Flags in Mass-Casualty Incidents and Disasters: A Problem-Based Approach. Issue 2 (3rd April 2022)
- Record Type:
- Journal Article
- Title:
- Logistic Red Flags in Mass-Casualty Incidents and Disasters: A Problem-Based Approach. Issue 2 (3rd April 2022)
- Main Title:
- Logistic Red Flags in Mass-Casualty Incidents and Disasters: A Problem-Based Approach
- Authors:
- Gamberini, Lorenzo
Imbriaco, Guglielmo
Ingrassia, Pier Luigi
Mazzoli, Carlo Alberto
Badiali, Stefano
Colombo, Davide
Carenzo, Luca
Flauto, Alfonso
Tengattini, Marco
Merlo, Federico
Azzaretto, Massimo
Monesi, Alessandro
Candido, Fernando
Coniglio, Carlo
Gordini, Giovanni
Della Corte, Francesco - Abstract:
- 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 differentAbstract: 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. … (more)
- Is Part Of:
- Prehospital and disaster medicine. Volume 37:Issue 2(2022)
- Journal:
- Prehospital and disaster medicine
- Issue:
- Volume 37:Issue 2(2022)
- Issue Display:
- Volume 37, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 37
- Issue:
- 2
- Issue Sort Value:
- 2022-0037-0002-0000
- Page Start:
- 197
- Page End:
- 204
- Publication Date:
- 2022-04-03
- Subjects:
- disaster medicine -- major incident -- mass-casualty incident -- standardized data -- uniform reporting
Emergency medical services -- Periodicals
Emergency medicine -- Periodicals
Disaster medicine -- Periodicals
616.025 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=PDM ↗
- DOI:
- 10.1017/S1049023X22000188 ↗
- Languages:
- English
- ISSNs:
- 1049-023X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 21448.xml