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

case-based simulation cognitive error diagnosis diagnostic error think-aloud

Journal

Diagnosis (Berlin, Germany)
ISSN: 2194-802X
Titre abrégé: Diagnosis (Berl)
Pays: Germany
ID NLM: 101654734

Informations de publication

Date de publication:
26 05 2021
Historique:
received: 15 01 2020
accepted: 28 05 2020
pubmed: 23 7 2020
medline: 16 10 2021
entrez: 23 7 2020
Statut: epublish

Résumé

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. 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. 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. 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.

Identifiants

pubmed: 32697753
doi: 10.1515/dx-2020-0010
pii: dx-2020-0010
pmc: PMC7855370
mid: NIHMS1655089
doi:

Types de publication

Case Reports Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

167-175

Subventions

Organisme : AHRQ HHS
ID : P30 HS024385
Pays : United States
Organisme : AHRQ HHS
ID : R18 HS025891
Pays : United States

Informations de copyright

© 2020 Walter de Gruyter GmbH, Berlin/Boston.

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Auteurs

Ashwin Gupta (A)

VA Ann Arbor Healthcare System Medicine Service, Ann Arbor, MI, USA.
Division of Hospital Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI, USA.

Martha Quinn (M)

School of Public Health, University of Michigan, Ann Arbor, MI, USA.

Sanjay Saint (S)

VA Ann Arbor Healthcare System Medicine Service, Ann Arbor, MI, USA.
Division of Hospital Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI, USA.

Richard Lewis (R)

Department of Psychology, School of Language, Science, and Arts, University of Michigan, Ann Arbor, MI, USA.

Karen E Fowler (KE)

VA Ann Arbor Healthcare System Medicine Service, Ann Arbor, MI, USA.

Suzanne Winter (S)

Division of Hospital Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI, USA.

Vineet Chopra (V)

VA Ann Arbor Healthcare System Medicine Service, Ann Arbor, MI, USA.
Division of Hospital Medicine, Department of Medicine, University of Michigan, Ann Arbor, MI, USA.

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