Data surrounding optimal pediatric postoperative opioid prescribing are incomplete. The objective of this study was to leverage the American College of Surgeons (ACS) National Surgical Quality Improvement Program-Pediatric (NSQIP-P) and assess feasibility of added data collection surrounding pediatric perioperative pain management practices including opioid prescribing at discharge.
Nineteen (19) novel data elements were added to NSQIP-P data collection of selected patients, ages 5-18 years, who had undergone surgery at a single, free-standing children's hospital. Metrics around data abstraction and completion of variables were collected. Univariate analyses (using Chi-square or Wilcoxon Rank Sum tests) and multiple logistic regressions were performed to describe predictors of opioid prescribing at discharge and to monitor adherence to Food and Drug Administration (FDA) prescribing recommendations.
Median abstraction time of the novel variables decreased from 12 to 5 minutes per patient over 13 months with 94% variable completion rate. Of 878 patients, 302 (36.4%) were prescribed opioids at discharge. Factors associated with an opioid prescription included older age (p
