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Decision-Making During High-Risk Events: A Systematic Literature Review

Authors :
Carrie Reale
Megan E. Salwei
Laura G. Militello
Matthew B. Weinger
Amanda Burden
Christen Sushereba
Laurence C. Torsher
Michael H. Andreae
David M. Gaba
William R. McIvor
Arna Banerjee
Jason Slagle
Shilo Anders
Source :
Journal of Cognitive Engineering and Decision Making. 17:188-212
Publication Year :
2023
Publisher :
SAGE Publications, 2023.

Abstract

Effective decision-making in crisis events is challenging due to time pressure, uncertainty, and dynamic decisional environments. We conducted a systematic literature review in PubMed and PsycINFO, identifying 32 empiric research papers that examine how trained professionals make naturalistic decisions under pressure. We used structured qualitative analysis methods to extract key themes. The studies explored different aspects of decision-making across multiple domains. The majority (19) focused on healthcare; military, fire and rescue, oil installation, and aviation domains were also represented. We found appreciable variability in research focus, methodology, and decision-making descriptions. We identified five main themes: (1) decision-making strategy, (2) time pressure, (3) stress, (4) uncertainty, and (5) errors. Recognition-primed decision-making (RPD) strategies were reported in all studies that analyzed this aspect. Analytical strategies were also prominent, appearing more frequently in contexts with less time pressure and explicit training to generate multiple explanations. Practitioner experience, time pressure, stress, and uncertainty were major influencing factors. Professionals must adapt to the time available, types of uncertainty, and individual skills when making decisions in high-risk situations. Improved understanding of these decisional factors can inform evidence-based enhancements to training, technology, and process design.

Details

ISSN :
15553434
Volume :
17
Database :
OpenAIRE
Journal :
Journal of Cognitive Engineering and Decision Making
Accession number :
edsair.doi...........bd1dd343fad524dc76da116c8bf28bcf
Full Text :
https://doi.org/10.1177/15553434221147415