Publication | Open Access
Why the C-statistic is not informative to evaluate early warning scores and what metrics to use
140
Citations
16
References
2015
Year
EngineeringWarning SystemDiagnosisRisk AnalysisEarly Warning ScoresPatient MonitoringEarly Warning ScoreIndividual Cutoff ValueAssessmentStatisticsReliabilityPredictive AnalyticsEarly Warning SystemPrognostic EvaluationPatient SafetyPhysiological DeteriorationMedicineHealth InformaticsEmergency Medicine
Metrics typically used to report the performance of an early warning score (EWS), such as the area under the receiver operator characteristic curve or C-statistic, are not useful for pre-implementation analyses. Because physiological deterioration has an extremely low prevalence of 0.02 per patient-day, these metrics can be misleading. We discuss the statistical reasoning behind this statement and present a novel alternative metric more adequate to operationalize an EWS. We suggest that pre-implementation evaluation of EWSs should include at least two metrics: sensitivity; and either the positive predictive value, number needed to evaluate, or estimated rate of alerts. We also argue the importance of reporting each individual cutoff value.
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