Incident commander decision making: Quantitative evaluation of instantaneous and considered decisions.


Journal

Applied ergonomics
ISSN: 1872-9126
Titre abrégé: Appl Ergon
Pays: England
ID NLM: 0261412

Informations de publication

Date de publication:
Jan 2024
Historique:
received: 04 05 2023
revised: 14 08 2023
accepted: 11 09 2023
medline: 13 11 2023
pubmed: 26 9 2023
entrez: 25 9 2023
Statut: ppublish

Résumé

The Incident Commander (IC) decision-making process has previously been modeled primarily by qualitative evaluation methods, which has made it difficult to generalize an objective model. In this study, we took a quantitative approach to elucidate a decision-making model based on the "dual-process" model that consists of instantaneous decisions ("System 1") and considered decisions ("System 2") to gain new insights regarding the IC decision-making process. High-fidelity simulation data from eight mass-casualty incidents (MCIs) were analyzed in two categories. The first category represents cues of new information and the IC's actions, divided into three main subcategories: actions following the MCI protocol, responses following cues, and actions without a cue. The second category divides the simulation into three MCI management phases: (1) evaluation and triage, (2) treatment and preparedness for evacuation, and (3) evacuation. Actions that followed the MCI protocol were significantly higher in the first phase compared to the other two phases (p<0.01 for both phases). Responses following cues were significantly higher in the second phase compared to the first (p<0.01). Actions without a cue were significantly higher in both the second and third phases compared to the first (p<0.01 for both phases). The results reveal that the IC followed MCI protocol guidance in the simulation initiation and immediately responded to cues, which fits "System 1". As the simulation evolved, the IC made more planned tasks and initiated actions without leading cues, which fits "System 2". The study found that ICs can change their decision-making mode, and this understanding can serve to improve their decision-making process and increase casualty survival rates.

Identifiants

pubmed: 37748355
pii: S0003-6870(23)00177-1
doi: 10.1016/j.apergo.2023.104139
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104139

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Omer Perry (O)

Department of Health Policy & Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel. Electronic address: omerpe@post.bgu.ac.il.

Eli Jaffe (E)

Magen-David-Adom, Israeli National Emergency Medical Services, Israel. Electronic address: Eliy@mda.org.il.

Avishay Goldberg (A)

Department of Health Policy & Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel. Electronic address: avishy@bgu.ac.il.

Yuval Bitan (Y)

Department of Health Policy & Management, Ben-Gurion University of the Negev, Beer-Sheva, Israel. Electronic address: ybitan@bgu.ac.il.

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