title: How much does it cost to identify a critically ill child experiencing electrographic seizures?
abstract: OBJECTIVE
  Electrographic seizures in critically ill children may be identified by continuous EEG monitoring. We evaluated the cost effectiveness of 4 electrographic seizure identification strategies (no EEG monitoring and EEG monitoring for 1 hour, 24 hours, or 48 hours).
  
  
  METHODS
  We created a decision tree to model the relationships among variables from a societal perspective. To provide input for the model, we estimated variable costs directly related to EEG monitoring from their component parts, and we reviewed the literature to estimate the probabilities of outcomes. We calculated incremental cost-effectiveness ratios to identify the trade-off between cost and effectiveness at different willingness-to-pay values.
  
  
  RESULTS
  Our analysis found that the preferred strategy was EEG monitoring for 1 hour, 24 hours, and 48 hours if the decision maker was willing to pay <$1,666, $1,666-$22,648, and >$22,648 per critically ill child identified with electrographic seizures, respectively. The 48-hour strategy only identified 4% more children with electrographic seizures at substantially higher cost. Sensitivity analyses found that all 3 strategies were acceptable at lower willingness-to-pay values when children with higher electrographic seizure risk were monitored.
  
  
  CONCLUSIONS
  The results of this study support monitoring of critically ill children for 24 hours because the cost to identify a critically ill child with electrographic seizures is modest. Further study is needed to predict better which children may benefit from 48 hours of EEG monitoring because the costs are much higher.
authors: Departments of *Neurology, †Pediatrics, and ‡Anesthesia and Critical Care Medicine, The Children's Hospital of Philadelphia and the Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A.; §Department of Medicine, the Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A.; and ‖Department of Health Care Management, Wharton School of the University of Pennsylvania, Philadelphia, Pennsylvania, U.S.A.
authors: Nicholas S
authors: NS
authors: Abend
authors: Alexis A
authors: AA
authors: Topjian
authors: Sankey
authors: S
authors: Williams
mesh_terms: D002648:Child; D003362:Cost-Benefit Analysis; D016638:Critical Illness; D004569:Electroencephalography / Q000191:economics*; D006801:Humans; D018803:Models, Economic; D012640:Seizures / Q000175:diagnosis*
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