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Decision-Making During High-Risk Events: A Systematic Literature Review.
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.
Afiliação
  • Reale C; 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.
  • Salwei ME; 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, Department of Biomedical Informatics, Vanderbilt University Medical Cent
  • Militello LG; Applied Decision Science, LLC, Dayton, OH, USA.
  • Weinger MB; 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, Department of Biomedical Informatics, Vanderbilt University Medical Cent
  • Burden A; Department of Anesthesiology, Cooper Medical School of Rowan University, Camden, NJ, USA.
  • Sushereba C; Applied Decision Science, LLC, Dayton, OH, USA.
  • Torsher LC; Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN, USA.
  • Andreae MH; Department of Anesthesiology, School of Medicine, University of Utah, Salt Lake City, UT, USA.
  • Gaba DM; Patient Simulation Center, VA Palo Alto Healthcare System, Palo Alto, CA, USA, Department of Anesthesiology, Perioperative & Pain Medicine, Stanford School of Medicine, Stanford University, Stanford, CA, USA.
  • McIvor WR; Department of Anesthesiology, School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
  • Banerjee A; 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.
  • Slagle J; 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.
  • Anders S; 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, Department of Biomedical Informatics, Vanderbilt University Medical Cent
J Cogn Eng Decis Mak ; 17(2): 188-212, 2023 Jun.
Article em En | MEDLINE | ID: mdl-37823061
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies / Systematic_reviews Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Etiology_studies / Prognostic_studies / Qualitative_research / Risk_factors_studies / Systematic_reviews Idioma: En Ano de publicação: 2023 Tipo de documento: Article