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

Author:

Reale Carrie1ORCID,Salwei Megan E.12,Militello Laura G.3ORCID,Weinger Matthew B.12,Burden Amanda4,Sushereba Christen3ORCID,Torsher Laurence C.5,Andreae Michael H.6ORCID,Gaba David M.78,McIvor William R.9,Banerjee Arna10,Slagle Jason10,Anders Shilo12

Affiliation:

1. Center for Research and Innovation in Systems Safety, Department of Anesthesiology and the Center for Health Services Research, Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, USA

2. Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA

3. Applied Decision Science, LLC, Dayton, OH, USA

4. Department of Anesthesiology, Cooper Medical School of Rowan University, Camden, NJ, USA

5. Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, USA

6. Department of Anesthesiology, School of Medicine, University of Utah, Salt Lake City, UT, USA

7. Patient Simulation Center, VA Palo Alto Healthcare System, Palo Alto, CA, USA

8. Department of Anesthesiology, Perioperative & Pain Medicine, Stanford School of Medicine, Stanford University, Stanford, CA, USA

9. Department of Anesthesiology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA

10. Center for Research and Innovation in Systems Safety, Department of Anesthesiology and the Center for Health Services Research, Institute for Medicine and Public Health, Vanderbilt University Medical Center, Nashville, TN, USA, and

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.

Funder

National Library of Medicine Institutional Training Program in Biomedical Informatics and Data Science

Agency for Healthcare Research and Quality

Publisher

SAGE Publications

Subject

Applied Psychology,Engineering (miscellaneous),Computer Science Applications,Human Factors and Ergonomics

Reference61 articles.

1. Anders S., Reale C., Salwei M. E., Slagle J., Militello L. G., Gaba D., Sushereba C., Weinger M. B. (2022). Using a hybrid decision making model to inform qualitative data coding. In Paper presented at the International Symposium on Human Factors and Ergonomics in Health Care, New Orleans, LA, 20-23 March, 2022.

2. On the importance of mental time frames: A case for the need of empirical methods to investigate adaptive expertise.

3. A day in the life of a volunteer incident commander: Errors, pressures and mitigating strategies

4. Situational Pressures on Aviation Decision Making: Goal Seduction and Situation Aversion

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