Literature DB >> 24362377

The etiology of diagnostic errors: a controlled trial of system 1 versus system 2 reasoning.

Geoffrey Norman1, Jonathan Sherbino, Kelly Dore, Tim Wood, Meredith Young, Wolfgang Gaissmaier, Sharyn Kreuger, Sandra Monteiro.   

Abstract

PURPOSE: Diagnostic errors are thought to arise from cognitive biases associated with System 1 reasoning, which is rapid and unconscious. The primary hypothesis of this study was that the instruction to be slow and thorough will have no advantage in diagnostic accuracy over the instruction to proceed rapidly.
METHOD: Participants were second-year residents who volunteered after they had taken the Medical Council of Canada (MCC) Qualifying Examination Part II. Participants were tested at three Canadian medical schools (McMaster, Ottawa, and McGill) in 2010 (n = 96) and 2011 (n = 108). The intervention consisted of 20 computer-based internal medicine cases, with instructions either (1) to be as quick as possible but not make mistakes (the Speed cohort, 2010), or (2) to be careful, thorough, and reflective (the Reflect cohort, 2011). The authors examined accuracy scores on the 20 cases, time taken to diagnose cases, and MCC examination performance.
RESULTS: Overall accuracy in the Speed condition was 44.5%, and in the Reflect condition was 45.0%; this was not significant. The Speed cohort took an average of 69 seconds per case versus 89 seconds for the Reflect cohort (P < .001). In both cohorts, cases diagnosed incorrectly took an average of 17 seconds longer than cases diagnosed correctly. Diagnostic accuracy was moderately correlated with performance on both written and problem-solving components of the MCC licensure examination and inversely correlated with time.
CONCLUSIONS: The study demonstrates that simply encouraging slowing down and increasing attention to analytical thinking is insufficient to increase diagnostic accuracy.

Entities:  

Mesh:

Year:  2014        PMID: 24362377     DOI: 10.1097/ACM.0000000000000105

Source DB:  PubMed          Journal:  Acad Med        ISSN: 1040-2446            Impact factor:   6.893


  25 in total

1.  Reflecting on Diagnostic Errors: Taking a Second Look is Not Enough.

Authors:  Sandra D Monteiro; Jonathan Sherbino; Ameen Patel; Ian Mazzetti; Geoffrey R Norman; Elizabeth Howey
Journal:  J Gen Intern Med       Date:  2015-09       Impact factor: 5.128

2.  Now You See It, Now You Don't: What Thinking Aloud Tells Us About Clinical Reasoning.

Authors:  Judith L Bowen; Jonathan S Ilgen
Journal:  J Grad Med Educ       Date:  2014-12

3.  Cognitive reflection and antibiotic prescribing for acute respiratory infections.

Authors:  Dwan B Pineros; Jason N Doctor; Mark W Friedberg; Daniella Meeker; Jeffrey A Linder
Journal:  Fam Pract       Date:  2016-03-21       Impact factor: 2.267

4.  The evaluation of a continuing professional development package for primary care dentists designed to reduce stress, build resilience and improve clinical decision-making.

Authors:  H R Chapman; S Y Chipchase; R Bretherton
Journal:  Br Dent J       Date:  2017-08-25       Impact factor: 1.626

5.  The Effect of Information Presentation Order on Residents' Diagnostic Accuracy of Online Simulated Patients With Chest Pain.

Authors:  René A Tio; Marco A Carvalho Filho; Marcos F de Menezes Mota; André Santanchè; Sílvia Mamede
Journal:  J Grad Med Educ       Date:  2022-08

Review 6.  Improving clinical decision-making in psychiatry: implementation of digital phenotyping could mitigate the influence of patient's and practitioner's individual cognitive biases.

Authors:  Stéphane Mouchabac; Ismael Conejero; Camille Lakhlifi; Ilyass Msellek; Leo Malandain; Vladimir Adrien; Florian Ferreri; Bruno Millet; Olivier Bonnot; Alexis Bourla; Redwan Maatoug
Journal:  Dialogues Clin Neurosci       Date:  2022-06-01

7.  Skill Assessment in the Interpretation of 3D Fracture Patterns from Radiographs.

Authors:  Geb W Thomas; Salvador Rojas-Murillo; Jessica M Hanley; Clarence D Kreiter; Matthew D Karam; Donald D Anderson
Journal:  Iowa Orthop J       Date:  2016

Review 8.  Using fuzzy-trace theory to understand and improve health judgments, decisions, and behaviors: A literature review.

Authors:  Susan J Blalock; Valerie F Reyna
Journal:  Health Psychol       Date:  2016-08       Impact factor: 4.267

Review 9.  Cognitive bias: how understanding its impact on antibiotic prescribing decisions can help advance antimicrobial stewardship.

Authors:  Bradley J Langford; Nick Daneman; Valerie Leung; Dale J Langford
Journal:  JAC Antimicrob Resist       Date:  2020-12-21

10.  It is time to progress beyond the System 1 versus System 2 dichotomy.

Authors:  Jerome I Rotgans
Journal:  Perspect Med Educ       Date:  2015-08
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