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Role of knowledge and reasoning processes as predictors of resident physicians’ susceptibility to anchoring bias in diagnostic reasoning: a randomised controlled experiment
  1. Sílvia Mamede1,
  2. Adrienne Zandbergen2,
  3. Marco Antonio de Carvalho-Filho3,
  4. Goda Choi4,
  5. Marco Goeijenbier5,6,
  6. Joost van Ginkel7,
  7. Laura Zwaan1,
  8. Fred Paas8,
  9. Henk G Schmidt8
  1. 1 Institute of Medical Education Research Rotterdam, Erasmus Medical Center, Rotterdam, The Netherlands
  2. 2 Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
  3. 3 Wenckebach Institute (WIOO), University Medical Centre Groningen, Groningen, The Netherlands
  4. 4 Department of Hematology, University Medical Centre Groningen, Groningen, The Netherlands
  5. 5 Department of Intensive Care, Spaarne Gasthuis, Haarlem, The Netherlands
  6. 6 Department of Intensive Care, Erasmus MC, Rotterdam, The Netherlands
  7. 7 Department of Psychology, Methodology and Statistics, Leiden University, Leiden, The Netherlands
  8. 8 Department of Psychology, Education and Child Studies, Erasmus Universiteit Rotterdam, Rotterdam, The Netherlands
  1. Correspondence to Dr Sílvia Mamede; s.mamede{at}erasmusmc.nl

Abstract

Background Diagnostic errors have been attributed to reasoning flaws caused by cognitive biases. While experiments have shown bias to cause errors, physicians of similar expertise differed in susceptibility to bias. Resisting bias is often said to depend on engaging analytical reasoning, disregarding the influence of knowledge. We examined the role of knowledge and reasoning mode, indicated by diagnosis time and confidence, as predictors of susceptibility to anchoring bias. Anchoring bias occurs when physicians stick to an incorrect diagnosis triggered by early salient distracting features (SDF) despite subsequent conflicting information.

Methods Sixty-eight internal medicine residents from two Dutch university hospitals participated in a two-phase experiment. Phase 1: assessment of knowledge of discriminating features (ie, clinical findings that discriminate between lookalike diseases) for six diseases. Phase 2 (1 week later): diagnosis of six cases of these diseases. Each case had two versions differing exclusively in the presence/absence of SDF. Each participant diagnosed three cases with SDF (SDF+) and three without (SDF−). Participants were randomly allocated to case versions. Based on phase 1 assessment, participants were split into higher knowledge or lower knowledge groups. Main outcome measurements: frequency of diagnoses associated with SDF; time to diagnose; and confidence in diagnosis.

Results While both knowledge groups performed similarly on SDF- cases, higher knowledge physicians succumbed to anchoring bias less frequently than their lower knowledge counterparts on SDF+ cases (p=0.02). Overall, physicians spent more time (p<0.001) and had lower confidence (p=0.02) on SDF+ than SDF− cases (p<0.001). However, when diagnosing SDF+ cases, the groups did not differ in time (p=0.88) nor in confidence (p=0.96).

Conclusions Physicians apparently adopted a more analytical reasoning approach when presented with distracting features, indicated by increased time and lower confidence, trying to combat bias. Yet, extended deliberation alone did not explain the observed performance differences between knowledge groups. Success in mitigating anchoring bias was primarily predicted by knowledge of discriminating features of diagnoses.

  • Diagnostic errors
  • Cognitive biases
  • Decision making
  • Medical education

Data availability statement

Data are available upon reasonable request. Data are available upon reasonable request and subject to institutional regulations.

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Data availability statement

Data are available upon reasonable request. Data are available upon reasonable request and subject to institutional regulations.

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Footnotes

  • Contributors All authors had full access to all the study data and take responsibility for the integrity of the data and the accuracy of the data analysis. Study conception and design: SM, HGS. Development of study materials: SM, AZ, MAdC-F. Acquisition of data: SM, AZ, MAdC-F, MG, GC, LZ. Statistical analysis: SM, HGS, JvG. Analysis or interpretation of data: all authors. Drafting of the manuscript: SM. Critical revision of the manuscript for important intellectual content: all authors. Administrative, technical or material support: SM, AZ, GC. Supervision: SM, HGS. Guarantor: SM.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Supplemental material This content has been supplied by the author(s). It has not been vetted by BMJ Publishing Group Limited (BMJ) and may not have been peer-reviewed. Any opinions or recommendations discussed are solely those of the author(s) and are not endorsed by BMJ. BMJ disclaims all liability and responsibility arising from any reliance placed on the content. Where the content includes any translated material, BMJ does not warrant the accuracy and reliability of the translations (including but not limited to local regulations, clinical guidelines, terminology, drug names and drug dosages), and is not responsible for any error and/or omissions arising from translation and adaptation or otherwise.

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