ArticleBMC research notes2012
Using the method of judgement analysis to address variations in diagnostic decision making.
Article in BMC research notes, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed.
- Cognitive biases and contextual factors explaining variability in nurses' fall risk judgements: a multi-centre cross-sectional study.International journal of nursing studies advances · 2025Article
- How do palliative care doctors recognise imminently dying patients? A judgement analysis.BMJ open · 2018Observational
- Can routine clinical data identify older patients at risk of poor healthcare outcomes on admission to hospital?BMC research notes · 2017Article
- Evaluating the scripts and thresholds of general practitioners for diagnosing heart failure in elderly people.BMC family practice · 2016Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHeart failure is not a clear-cut diagnosis but a complex clinical syndrome with consequent diagnostic uncertainty. Judgment analysis is a method to help clinical teams to understand how they make complex decisions. The method of judgment analysis was used to determine the factors that influence clinicians' diagnostic decisions about heart failure.
methodsThree consultants, three middle grade doctors, and two junior doctors each evaluated 45 patient scenarios. The main outcomes were: clinicians' decisions whether or not to make a diagnosis of suspected heart failure; the relative importance of key factors within and between clinician groups in making these decisions, and the acceptability of the scenarios.
resultsThe method was able to discriminate between important and unimportant factors in clinicians' diagnostic decisions. Junior and consultant physicians tended to use patient information similarly, although junior doctors placed particular weight on the chest X-Ray. Middle-grade doctors tended to use information differently but their diagnostic decisions agreed with consultants more frequently (k = 0.47) than junior doctors and consultants (k = 0.23), or middle grade and junior grade doctors (k = 0.10).
conclusionsJudgment analysis is a potentially valuable method to assess influences upon diagnostic decisions, helping clinicians to manage the quality assurance process through evaluation of care and continuing professional development.
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Registered trials
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