Literature DB >> 31988257

'Immunising' physicians against availability bias in diagnostic reasoning: a randomised controlled experiment.

Sílvia Mamede1,2, Marco Antonio de Carvalho-Filho3,4, Rosa Malena Delbone de Faria5,6, Daniel Franci3, Maria do Patrocinio Tenorio Nunes7, Ligia Maria Cayres Ribeiro8, Julia Biegelmeyer7, Laura Zwaan9, Henk G Schmidt9,2.   

Abstract

BACKGROUND: Diagnostic errors have often been attributed to biases in physicians' reasoning. Interventions to 'immunise' physicians against bias have focused on improving reasoning processes and have largely failed.
OBJECTIVE: To investigate the effect of increasing physicians' relevant knowledge on their susceptibility to availability bias. DESIGN, SETTINGS AND PARTICIPANTS: Three-phase multicentre randomised experiment with second-year internal medicine residents from eight teaching hospitals in Brazil.
INTERVENTIONS: Immunisation: Physicians diagnosed one of two sets of vignettes (either diseases associated with chronic diarrhoea or with jaundice) and compared/contrasted alternative diagnoses with feedback. Biasing phase (1 week later): Physicians were biased towards either inflammatory bowel disease or viral hepatitis. Diagnostic performance test: All physicians diagnosed three vignettes resembling inflammatory bowel disease, three resembling hepatitis (however, all with different diagnoses). Physicians who increased their knowledge of either chronic diarrhoea or jaundice 1 week earlier were expected to resist the bias attempt. MAIN OUTCOME MEASUREMENTS: Diagnostic accuracy, measured by test score (range 0-1), computed for subjected-to-bias and not-subjected-to-bias vignettes diagnosed by immunised and not-immunised physicians.
RESULTS: Ninety-one residents participated in the experiment. Diagnostic accuracy differed on subjected-to-bias vignettes, with immunised physicians performing better than non-immunised physicians (0.40 vs 0.24; difference in accuracy 0.16 (95% CI 0.05 to 0.27); p=0.004), but not on not-subjected-to-bias vignettes (0.36 vs 0.41; difference -0.05 (95% CI -0.17 to 0.08); p=0.45). Bias only hampered non-immunised physicians, who performed worse on subjected-to-bias than not-subjected-to-bias vignettes (difference -0.17 (95% CI -0.28 to -0.05); p=0.005); immunised physicians' accuracy did not differ (p=0.56).
CONCLUSIONS: An intervention directed at increasing knowledge of clinical findings that discriminate between similar-looking diseases decreased physicians' susceptibility to availability bias, reducing diagnostic errors, in a simulated setting. Future research needs to examine the degree to which the intervention benefits other disease clusters and performance in clinical practice. TRIAL REGISTRATION NUMBER: 68745917.1.1001.0068. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.

Entities:  

Keywords:  cognitive biases; diagnostic errors; medical education; patient safety

Year:  2020        PMID: 31988257     DOI: 10.1136/bmjqs-2019-010079

Source DB:  PubMed          Journal:  BMJ Qual Saf        ISSN: 2044-5415            Impact factor:   7.035


  7 in total

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2.  A plea for contrastive instructions.

Authors:  Wolf E Hautz; Juliane E Kämmer
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Authors:  J Staal; J Alsma; S Mamede; A P J Olson; G Prins-van Gilst; S E Geerlings; M Plesac; M A Sundberg; M A Frens; H G Schmidt; W W Van den Broek; L Zwaan
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4.  Efficacy of Artificial-Intelligence-Driven Differential-Diagnosis List on the Diagnostic Accuracy of Physicians: An Open-Label Randomized Controlled Study.

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5.  COVID Blindness: Delayed Diagnosis of Aseptic Meningitis in the COVID-19 Era.

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6.  How cognitive psychology changed the face of medical education research.

Authors:  Henk G Schmidt; Silvia Mamede
Journal:  Adv Health Sci Educ Theory Pract       Date:  2020-11-26       Impact factor: 3.853

7.  Specific Disease Knowledge as Predictor of Susceptibility to Availability Bias in Diagnostic Reasoning: a Randomized Controlled Experiment.

Authors:  Sílvia Mamede; Marco Goeijenbier; Stephanie C E Schuit; Marco Antonio de Carvalho Filho; Justine Staal; Laura Zwaan; Henk G Schmidt
Journal:  J Gen Intern Med       Date:  2020-09-15       Impact factor: 5.128

  7 in total

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