• Myura Nagendran, Yang Chen, and Anthony C Gordon.
• NIHR academic clinical fellow in intensive care medicine, Imperial College London, UK myura.nagendran@imperial.ac.uk.
• Clin Med (Lond). 2019 Sep 1; 19 (5): 369374369-374.

AbstractBackgroundWe sought to establish to what extent decision certainty has been measured in real time and whether high or low levels of certainty correlate with clinical outcomes.MethodsOur pre-specified study protocol is published on PROSPERO, CRD42019128112. We identified prospective studies from Medline, Embase and PsycINFO up to February 2019 that measured real time self-rating of the certainty of a medical decision by a clinician.FindingsNine studies were included and all were generally at high risk of bias. Only one study assessed long-term clinical outcomes: patients rated with high diagnostic uncertainty for heart failure had longer length of stay, increased mortality and higher readmission rates at 1 year than those rated with diagnostic certainty. One other study demonstrated the danger of extreme diagnostic confidence - 7% of cases (24/341) labelled as having either 0% or 100% diagnostic likelihood of heart failure were made in error.ConclusionsThe literature on real time self-rated certainty of clinician decisions is sparse and only relates to diagnostic decisions. Further prospective research with a view to generating hypotheses for testable interventions that can better calibrate clinician certainty with accuracy of decision making could be valuable in reducing diagnostic error and improving outcomes.© 2019 Royal College of Physicians.

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