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Accuracy of ‘My Gut Feeling:’ Comparing System 1 to System 2 Decision-Making for Acuity Prediction, Disposition and Diagnosis in an Academic Emergency Department
INTRODUCTION: Current cognitive sciences describe decision-making using the dual-process theory, where a System 1 is intuitive and a System 2 decision is hypothetico-deductive. We aim to compare the performance of these systems in determining patient acuity, disposition and diagnosis. METHODS: Prosp...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Department of Emergency Medicine, University of California, Irvine School of Medicine
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4644030/ https://www.ncbi.nlm.nih.gov/pubmed/26587086 http://dx.doi.org/10.5811/westjem.2015.5.25301 |
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author | Cabrera, Daniel Thomas, Jonathan F. Wiswell, Jeffrey L. Walston, James M. Anderson, Joel R. Hess, Erik P. Bellolio, M. Fernanda |
author_facet | Cabrera, Daniel Thomas, Jonathan F. Wiswell, Jeffrey L. Walston, James M. Anderson, Joel R. Hess, Erik P. Bellolio, M. Fernanda |
author_sort | Cabrera, Daniel |
collection | PubMed |
description | INTRODUCTION: Current cognitive sciences describe decision-making using the dual-process theory, where a System 1 is intuitive and a System 2 decision is hypothetico-deductive. We aim to compare the performance of these systems in determining patient acuity, disposition and diagnosis. METHODS: Prospective observational study of emergency physicians assessing patients in the emergency department of an academic center. Physicians were provided the patient’s chief complaint and vital signs and allowed to observe the patient briefly. They were then asked to predict acuity, final disposition (home, intensive care unit (ICU), non-ICU bed) and diagnosis. A patient was classified as sick by the investigators using previously published objective criteria. RESULTS: We obtained 662 observations from 289 patients. For acuity, the observers had a sensitivity of 73.9% (95% CI [67.7–79.5%]), specificity 83.3% (95% CI [79.5–86.7%]), positive predictive value 70.3% (95% CI [64.1–75.9%]) and negative predictive value 85.7% (95% CI [82.0–88.9%]). For final disposition, the observers made a correct prediction in 80.8% (95% CI [76.1–85.0%]) of the cases. For ICU admission, emergency physicians had a sensitivity of 33.9% (95% CI [22.1–47.4%]) and a specificity of 96.9% (95% CI [94.0–98.7%]). The correct diagnosis was made 54% of the time with the limited data available. CONCLUSION: System 1 decision-making based on limited information had a sensitivity close to 80% for acuity and disposition prediction, but the performance was lower for predicting ICU admission and diagnosis. System 1 decision-making appears insufficient for final decisions in these domains but likely provides a cognitive framework for System 2 decision-making. |
format | Online Article Text |
id | pubmed-4644030 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Department of Emergency Medicine, University of California, Irvine School of Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-46440302015-11-19 Accuracy of ‘My Gut Feeling:’ Comparing System 1 to System 2 Decision-Making for Acuity Prediction, Disposition and Diagnosis in an Academic Emergency Department Cabrera, Daniel Thomas, Jonathan F. Wiswell, Jeffrey L. Walston, James M. Anderson, Joel R. Hess, Erik P. Bellolio, M. Fernanda West J Emerg Med Patient Safety INTRODUCTION: Current cognitive sciences describe decision-making using the dual-process theory, where a System 1 is intuitive and a System 2 decision is hypothetico-deductive. We aim to compare the performance of these systems in determining patient acuity, disposition and diagnosis. METHODS: Prospective observational study of emergency physicians assessing patients in the emergency department of an academic center. Physicians were provided the patient’s chief complaint and vital signs and allowed to observe the patient briefly. They were then asked to predict acuity, final disposition (home, intensive care unit (ICU), non-ICU bed) and diagnosis. A patient was classified as sick by the investigators using previously published objective criteria. RESULTS: We obtained 662 observations from 289 patients. For acuity, the observers had a sensitivity of 73.9% (95% CI [67.7–79.5%]), specificity 83.3% (95% CI [79.5–86.7%]), positive predictive value 70.3% (95% CI [64.1–75.9%]) and negative predictive value 85.7% (95% CI [82.0–88.9%]). For final disposition, the observers made a correct prediction in 80.8% (95% CI [76.1–85.0%]) of the cases. For ICU admission, emergency physicians had a sensitivity of 33.9% (95% CI [22.1–47.4%]) and a specificity of 96.9% (95% CI [94.0–98.7%]). The correct diagnosis was made 54% of the time with the limited data available. CONCLUSION: System 1 decision-making based on limited information had a sensitivity close to 80% for acuity and disposition prediction, but the performance was lower for predicting ICU admission and diagnosis. System 1 decision-making appears insufficient for final decisions in these domains but likely provides a cognitive framework for System 2 decision-making. Department of Emergency Medicine, University of California, Irvine School of Medicine 2015-09 2015-10-20 /pmc/articles/PMC4644030/ /pubmed/26587086 http://dx.doi.org/10.5811/westjem.2015.5.25301 Text en Copyright © 2015 Cabrera et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) License. See: http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Patient Safety Cabrera, Daniel Thomas, Jonathan F. Wiswell, Jeffrey L. Walston, James M. Anderson, Joel R. Hess, Erik P. Bellolio, M. Fernanda Accuracy of ‘My Gut Feeling:’ Comparing System 1 to System 2 Decision-Making for Acuity Prediction, Disposition and Diagnosis in an Academic Emergency Department |
title | Accuracy of ‘My Gut Feeling:’ Comparing System 1 to System 2 Decision-Making for Acuity Prediction, Disposition and Diagnosis in an Academic Emergency Department |
title_full | Accuracy of ‘My Gut Feeling:’ Comparing System 1 to System 2 Decision-Making for Acuity Prediction, Disposition and Diagnosis in an Academic Emergency Department |
title_fullStr | Accuracy of ‘My Gut Feeling:’ Comparing System 1 to System 2 Decision-Making for Acuity Prediction, Disposition and Diagnosis in an Academic Emergency Department |
title_full_unstemmed | Accuracy of ‘My Gut Feeling:’ Comparing System 1 to System 2 Decision-Making for Acuity Prediction, Disposition and Diagnosis in an Academic Emergency Department |
title_short | Accuracy of ‘My Gut Feeling:’ Comparing System 1 to System 2 Decision-Making for Acuity Prediction, Disposition and Diagnosis in an Academic Emergency Department |
title_sort | accuracy of ‘my gut feeling:’ comparing system 1 to system 2 decision-making for acuity prediction, disposition and diagnosis in an academic emergency department |
topic | Patient Safety |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4644030/ https://www.ncbi.nlm.nih.gov/pubmed/26587086 http://dx.doi.org/10.5811/westjem.2015.5.25301 |
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