Evidence map›Paper›PMID 30621679›Full record

Trial reportBMC medical education2019

A cognitive forcing tool to mitigate cognitive bias - a randomised control trial.

Eoin D O'Sullivan, Susie J Schofield

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC medical education, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Physicians' metacognition in medical decision-making.Neuroscience of consciousness · 2026
    Article
  6. Review
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  8. Diagnostic reasoning and cognitive error in emergency medicine: Implications for teaching and learning.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2025
    Review
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  17. Clinician Recognition of First Episode Psychosis.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Eoin D O'SullivanDepartment of Renal Medicine, Royal Infirmary of Edinburgh, 51 Little France Cres, Edinburgh, EH16 4SA, UK. eoindosullivan@gmail.com.ORCID http://orcid.org/0000-0002-7709-6595
Susie J SchofieldCentre for Medical Education, University of Dundee, Dundee, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCognitive bias is an important source of diagnostic error yet is a challenging area to understand and teach. Our aim was to determine whether a cognitive forcing tool can reduce the rates of error in clinical decision making. A secondary objective was to understand the process by which this effect might occur.

methodsWe hypothesised that using a cognitive forcing tool would reduce diagnostic error rates. To test this hypothesis, a novel online case-based approach was used to conduct a single blinded randomized clinical trial conducted from January 2017 to September 2018. In addition, a qualitative series of "think aloud" interviews were conducted with 20 doctors from a UK teaching hospital in 2018. The primary outcome was the diagnostic error rate when solving bias inducing clinical vignettes. A volunteer sample of medical professionals from across the UK, Republic of Ireland and North America. They ranged in seniority from medical student to Attending Physician.

resultsSeventy six participants were included in the study. The data showed doctors of all grades routinely made errors related to cognitive bias. There was no difference in error rates between groups (mean 2.8 cases correct in intervention vs 3.1 in control group, 95% CI -0.94 - 0.45 P = 0.49). The qualitative protocol revealed that the cognitive forcing strategy was well received and a produced a subjectively positive impact on doctors' accuracy and thoughtfulness in clinical cases.

conclusionsThe quantitative data failed to show an improvement in accuracy despite a positive qualitative experience. There is insufficient evidence to recommend this tool in clinical practice, however the qualitative data suggests such an approach has some merit and face validity to users.

Indexed as

Attitude of Health PersonnelBiasAdultClinical Decision-MakingDiagnostic ErrorsEvaluation Studies as TopicHospitals, TeachingHumansInterviews as TopicMedical Staff, HospitalThinkingUnited KingdomYoung AdultClinical errorCognitive biasDecision makingHeuristics

Identifiers

PMID30621679
PMCPMC6325867

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.