Literature DB >> 32697753

The variability in how physicians think: a casebased diagnostic simulation exercise.

Ashwin Gupta1,2, Martha Quinn3, Sanjay Saint1,2, Richard Lewis4, Karen E Fowler1, Suzanne Winter2, Vineet Chopra1,2.   

Abstract

OBJECTIVES: Little is known about how physician diagnostic thinking unfolds over time when evaluating patients. We designed a case-based simulation to understand how physicians reason, create differential diagnoses, and employ strategies to achieve a correct diagnosis.
METHODS: Between June 2017 and August 2018, hospital medicine physicians at two academic medical centers were presented a standardized case of a patient presenting with chest pain who was ultimately diagnosed with herpes zoster using an interview format. Case information was presented in predetermined aliquots where participants were then asked to think-aloud, describing their thoughts and differential diagnoses given the data available. At the conclusion of the interview, participants were asked questions about their diagnostic process. Interviews were recorded, transcribed, and content analysis was conducted to identify key themes related to the diagnostic thinking process.
RESULTS: Sixteen hospital medicine physicians (nine men, seven women) participated in interviews and four obtained the correct final diagnosis (one man, three women). Participants had an average of nine years of experience. Overall, substantial heterogeneity in both the differential diagnoses and clinical reasoning among participants was observed. Those achieving the correct diagnosis utilized systems-based or anatomic approaches when forming their initial differential diagnoses, rather than focusing on life-threatening diagnoses alone. Evidence of cognitive bias was common; those with the correct diagnosis more often applied debiasing strategies than those with the incorrect final diagnosis.
CONCLUSIONS: Heterogeneity in diagnostic evaluation appears to be common and may indicate faulty data processing. Structured approaches and debiasing strategies appear helpful in promoting diagnostic accuracy.
© 2020 Walter de Gruyter GmbH, Berlin/Boston.

Entities:  

Keywords:  case-based simulation; cognitive error; diagnosis; diagnostic error; think-aloud

Mesh:

Year:  2020        PMID: 32697753      PMCID: PMC7855370          DOI: 10.1515/dx-2020-0010

Source DB:  PubMed          Journal:  Diagnosis (Berl)        ISSN: 2194-802X


  11 in total

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4.  Is clinical examination dead?

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5.  Implementation of diagnostic pauses in the ambulatory setting.

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Review 6.  System-related interventions to reduce diagnostic errors: a narrative review.

Authors:  Hardeep Singh; Mark L Graber; Stephanie M Kissam; Asta V Sorensen; Nancy F Lenfestey; Elizabeth M Tant; Kerm Henriksen; Kenneth A LaBresh
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7.  25-Year summary of US malpractice claims for diagnostic errors 1986-2010: an analysis from the National Practitioner Data Bank.

Authors:  Ali S Saber Tehrani; HeeWon Lee; Simon C Mathews; Andrew Shore; Martin A Makary; Peter J Pronovost; David E Newman-Toker
Journal:  BMJ Qual Saf       Date:  2013-04-22       Impact factor: 7.035

8.  Does inappropriate selectivity in information use relate to diagnostic errors and patient harm? The diagnosis of patients with dyspnea.

Authors:  Laura Zwaan; Abel Thijs; Cordula Wagner; Daniëlle R M Timmermans
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9.  Mind the overlap: how system problems contribute to cognitive failure and diagnostic errors.

Authors:  Ashwin Gupta; Molly Harrod; Martha Quinn; Milisa Manojlovich; Karen E Fowler; Hardeep Singh; Sanjay Saint; Vineet Chopra
Journal:  Diagnosis (Berl)       Date:  2018-09-25

10.  Strategies to reduce diagnostic errors: a systematic review.

Authors:  Julie Abimanyi-Ochom; Shalika Bohingamu Mudiyanselage; Max Catchpool; Marnie Firipis; Sithara Wanni Arachchige Dona; Jennifer J Watts
Journal:  BMC Med Inform Decis Mak       Date:  2019-08-30       Impact factor: 2.796

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  1 in total

1.  Incidence, Duration, and Risk Factors Associated With Missed Opportunities to Diagnose Herpes Simplex Encephalitis: A Population-Based Longitudinal Study.

Authors:  Aaron C Miller; Scott H Koeneman; Alan T Arakkal; Joseph E Cavanaugh; Philip M Polgreen
Journal:  Open Forum Infect Dis       Date:  2021-07-26       Impact factor: 3.835

  1 in total

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