Decision-Making During High-Risk Events: A Systematic Literature Review. (June 2023)

• Record Type: Journal Article
• Authors: Reale, Carrie; Salwei, Megan E.; Militello, Laura G.; Weinger, Matthew B.; Burden, Amanda; Sushereba, Christen; Torsher, Laurence C.; Andreae, Michael H.; Gaba, David M.; McIvor, William R.; Banerjee, Arna; Slagle, Jason; Anders, Shilo
• Is Part Of: Journal of cognitive engineering and decision making. Volume 17:Number 2(2023)
• Page Start: 188
• Page End: 212
• Publication Date: 2023-06
• Subjects: decision-making -- high-risk events -- simulation -- healthcare -- recognition-primed decision-making -- naturalistic decision-making -- decision-making strategy -- time pressure -- stress -- uncertainty -- errors; Human-computer interaction -- Periodicals; User-centered system design -- Periodicals; 004.019
• DOI: 10.1177/15553434221147415
• Languages: English
• ISSNs: 1555-3434

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.