Opioid e-prescribing trends at discharge in a large pediatric health system

J Opioid Manag. 2019 Mar/Apr;15(2):119-127. doi: 10.5055/jom.2019.0493.

Abstract

Objective: Legitimate opioid prescriptions have been identified as a risk factor for opioid misuse in pediatric patients. In 2014, Pennsylvania legislation expanded a prescription drug monitoring program (PDMP) to curb inappropriate controlled substance prescriptions. The authors' objective was to describe recent opioid prescribing trends at a large, pediatric health system situated in a region with one of the highest opioid-related death rates in the United States and examine the impact of the PDMP on prescribing trends.

Design: Quasi-experimental assessment of trends of opioid e-prescriptions, from 2012 to 2017. Multivariable Poisson segmented regression examined the effect of the PDMP. Period prevalence comparison of opioid e-prescriptions across the care continuum in 2016.

Results: There were 62,661 opioid e-prescriptions identified during the study period. Combination opioid/non-opioid prescriptions decreased, while oxycodone prescriptions increased. Seasonal variation was evident. Of 110,884 inpatient encounters, multivariable regression demonstrated lower odds of an opioid being prescribed at discharge per month of the study period (p < 0.001) and a significant interaction between passage of the PDMP legislation and time (p = 0.03). Black patients had lower odds of receiving an opioid at discharge compared to white patients. Inpatients had significantly greater odds of receiving an opioid compared to emergency department (Prevalence Odds Ratio 7.1 [95% confidence interval: 6.9-7.3]; p < 0.001) and outpatient (398.9 [355.5-447.5]; p < 0.001) encounters.

Conclusion: In a large pediatric health system, oxycodone has emerged as the most commonly prescribed opioid in recent years. Early evidence indicates that a state-run drug monitoring program is associated with reduced opioid prescribing. Additional study is necessary to examine the relationship between opioid prescriptions and race.

MeSH terms

  • Analgesics, Opioid
  • Child
  • Electronic Prescribing* / statistics & numerical data
  • Ethnicity / statistics & numerical data
  • Humans
  • Patient Discharge
  • Pediatrics
  • Practice Patterns, Physicians' / statistics & numerical data*
  • Prescription Drug Monitoring Programs*
  • United States

Substances

  • Analgesics, Opioid