Critical Care · 2015 · 147 citations · 16 references
ComputingEmergency MedicineClinical Decision SupportEarly DetectionRisk AssessmentAlerting SystemsEarly WarningEarly Warning SystemsRisk PredictionRisk ScoringDiagnostic Performance MetricsEarly Warning Score SystemsEarly Warning ScoresEarly Warning Scoring SystemsImplementation Evaluation FrameworksPhysiological DeteriorationPositive Predictive ValuePositive Predictive Value Analysis
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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Gary B. Smith, David Prytherch, Paul Meredith et al. · Resuscitation · 2013 · 1.1K citations · Full text
National Institute for Health and Care Excellence.
Martín Cowie · PubMed · 2015 · 651 citations
Public Affairs, Health Policy, Health Services Administration +10