Literature DB >> 15857490

Do physicians know when their diagnoses are correct? Implications for decision support and error reduction.

Charles P Friedman1, Guido G Gatti, Timothy M Franz, Gwendolyn C Murphy, Fredric M Wolf, Paul S Heckerling, Paul L Fine, Thomas M Miller, Arthur S Elstein.   

Abstract

OBJECTIVE: This study explores the alignment between physicians' confidence in their diagnoses and the "correctness" of these diagnoses, as a function of clinical experience, and whether subjects were prone to over-or underconfidence.
DESIGN: Prospective, counterbalanced experimental design.
SETTING: Laboratory study conducted under controlled conditions at three academic medical centers. PARTICIPANTS: Seventy-two senior medical students, 72 senior medical residents, and 72 faculty internists. INTERVENTION: We created highly detailed, 2-to 4-page synopses of 36 diagnostically challenging medical cases, each with a definitive correct diagnosis. Subjects generated a differential diagnosis for each of 9 assigned cases, and indicated their level of confidence in each diagnosis.
MEASUREMENTS AND MAIN RESULTS: A differential was considered "correct" if the clinically true diagnosis was listed in that subject's hypothesis list. To assess confidence, subjects rated the likelihood that they would, at the time they generated the differential, seek assistance in reaching a diagnosis. Subjects' confidence and correctness were "mildly" aligned (kappa=.314 for all subjects, .285 for faculty, .227 for residents, and .349 for students). Residents were overconfident in 41% of cases where their confidence and correctness were not aligned, whereas faculty were overconfident in 36% of such cases and students in 25%.
CONCLUSIONS: Even experienced clinicians may be unaware of the correctness of their diagnoses at the time they make them. Medical decision support systems, and other interventions designed to reduce medical errors, cannot rely exclusively on clinicians' perceptions of their needs for such support.

Entities:  

Mesh:

Year:  2005        PMID: 15857490      PMCID: PMC1490097          DOI: 10.1111/j.1525-1497.2005.30145.x

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  18 in total

1.  Judgment under Uncertainty: Heuristics and Biases.

Authors:  A Tversky; D Kahneman
Journal:  Science       Date:  1974-09-27       Impact factor: 47.728

2.  Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review.

Authors:  D L Hunt; R B Haynes; S E Hanna; K Smith
Journal:  JAMA       Date:  1998-10-21       Impact factor: 56.272

3.  Clinical event monitoring at the University of Pittsburgh.

Authors:  M M Wagner; M Pankaskie; W Hogan; F C Tsui; S A Eisenstadt; E Rodriguez; J K Vries
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

4.  Supporting infobuttons with terminological knowledge.

Authors:  J J Cimino; G Elhanan; Q Zeng
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

5.  Enhancement of clinicians' diagnostic reasoning by computer-based consultation: a multisite study of 2 systems.

Authors:  C P Friedman; A S Elstein; F M Wolf; G C Murphy; T M Franz; P S Heckerling; P L Fine; T M Miller; V Abraham
Journal:  JAMA       Date:  1999-11-17       Impact factor: 56.272

Review 6.  Medical diagnostic decision support systems--past, present, and future: a threaded bibliography and brief commentary.

Authors:  R A Miller
Journal:  J Am Med Inform Assoc       Date:  1994 Jan-Feb       Impact factor: 4.497

7.  The Regenstrief Medical Record System: a quarter century experience.

Authors:  C J McDonald; J M Overhage; W M Tierney; P R Dexter; D K Martin; J G Suico; A Zafar; G Schadow; L Blevins; T Glazener; J Meeks-Johnson; L Lemmon; J Warvel; B Porterfield; J Warvel; P Cassidy; D Lindbergh; A Belsito; M Tucker; B Williams; C Wodniak
Journal:  Int J Med Inform       Date:  1999-06       Impact factor: 4.046

8.  Physicians' estimates of the probability of myocardial infarction in emergency room patients with chest pain.

Authors:  W M Tierney; J Fitzgerald; R McHenry; B J Roth; B Psaty; D L Stump; F K Anderson
Journal:  Med Decis Making       Date:  1986 Jan-Mar       Impact factor: 2.583

9.  Systems analysis of adverse drug events. ADE Prevention Study Group.

Authors:  L L Leape; D W Bates; D J Cullen; J Cooper; H J Demonaco; T Gallivan; R Hallisey; J Ives; N Laird; G Laffel
Journal:  JAMA       Date:  1995-07-05       Impact factor: 56.272

10.  Physician's use of probabilistic information in a real clinical setting.

Authors:  J J Christensen-Szalanski; J B Bushyhead
Journal:  J Exp Psychol Hum Percept Perform       Date:  1981-08       Impact factor: 3.332

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  45 in total

1.  [Clinical safety in primary care. The systemic approach (I)].

Authors:  Francesc Borrell Carrió
Journal:  Aten Primaria       Date:  2011-10-24       Impact factor: 1.137

2.  A follow-up report card on computer-assisted diagnosis--the grade: C+.

Authors:  Craig A Umscheid; C William Hanson
Journal:  J Gen Intern Med       Date:  2012-02       Impact factor: 5.128

3.  Confidence and Information Access in Clinical Decision-Making: An Examination of the Cognitive Processes that affect the Information-seeking Behavior of Physicians.

Authors:  Raymonde Charles Uy; Raymond Francis Sarmiento; Alex Gavino; Paul Fontelo
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

4.  Informatics challenges for the impending patient information explosion.

Authors:  Eta S Berner; Jacqueline Moss
Journal:  J Am Med Inform Assoc       Date:  2005-07-27       Impact factor: 4.497

5.  Diagnostic decision support systems: why aren't they used more and what can we do about it?

Authors:  Eta S Berner
Journal:  AMIA Annu Symp Proc       Date:  2006

6.  Effectiveness of clinician-selected electronic information resources for answering primary care physicians' information needs.

Authors:  K Ann McKibbon; Douglas B Fridsma
Journal:  J Am Med Inform Assoc       Date:  2006-08-23       Impact factor: 4.497

7.  Validation of a diagnostic reminder system in emergency medicine: a multi-centre study.

Authors:  Padmanabhan Ramnarayan; Natalie Cronje; Ruth Brown; Rupert Negus; Bill Coode; Philip Moss; Taj Hassan; Wayne Hamer; Joseph Britto
Journal:  Emerg Med J       Date:  2007-09       Impact factor: 2.740

8.  Can cognitive biases during consumer health information searches be reduced to improve decision making?

Authors:  Annie Y S Lau; Enrico W Coiera
Journal:  J Am Med Inform Assoc       Date:  2008-10-24       Impact factor: 4.497

9.  Impact of a computer-based diagnostic decision support tool on the differential diagnoses of medicine residents.

Authors:  Mitchell J Feldman; Edward P Hoffer; G Octo Barnett; Richard J Kim; Kathleen T Famiglietti; Henry C Chueh
Journal:  J Grad Med Educ       Date:  2012-06

10.  Differences in treatment of anti-NMDA receptor encephalitis: results of a worldwide survey.

Authors:  Luca Bartolini; Eyal Muscal
Journal:  J Neurol       Date:  2017-02-02       Impact factor: 4.849

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