Evidence map›Paper›PMID 31343713›Full record

ArticleJournal of opioid management

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

Christopher M Horvat, Brian Martin, Liwen Wu, Anthony Fabio, Phil E Empey, Fanuel Hagos, Sheila Bigelow, Sajel Kantawala, Alicia K Au, Patrick M Kochanek and 1 more

Abstract read
In one paragraph

Article in Journal of opioid management. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 31% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 1 institution in 1 country.

Christopher M HorvatDepartment of Critical Care Medicine and the Brain Care Institute, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania; Safar Center for Resuscitation Research, University of Pittsburgh, Pittsburgh, Pennsylvania.
Brian MartinDepartment of Pediatric Dentistry, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania.
Liwen WuDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania.
Anthony FabioDepartment of Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania.
Phil E EmpeyDivision of Pharmacy and Therapeutics, Department of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania.
Fanuel HagosDepartment of Pharmacy and Therapeutics, University of Pittsburgh School of Pharmacy, Pittsburgh, Pennsylvania.
Sheila BigelowBellevue Pediatric Associates, Children's Community Pediatrics, Pittsburgh, Pennsylvania.
Sajel KantawalaInformation Services, Department of Critical Care Medicine, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania.
Alicia K AuDepartment of Critical Care Medicine and the Brain Care Institute, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania; Safar Center for Resuscitation Research, University of Pittsburgh, Pittsburgh, Pennsylvania.
Patrick M KochanekDepartment of Critical Care Medicine and the Brain Care Institute, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania; Safar Center for Resuscitation Research, University of Pittsburgh, Pittsburgh, Pennsylvania.
Robert S B ClarkDepartment of Critical Care Medicine and the Brain Care Institute, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, Pennsylvania; Safar Center for Resuscitation Research, University of Pittsburgh, Pittsburgh, Pennsylvania.
University of Pittsburgh · US

Funding

PEDIATRIC NEUROINTENSIVE CARE AND RESUSCITATION RESEARCHT32HD040686 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Robert S B Clark, PATRICK M KOCHANEK · 2000 to 2026
$7.1M
NICHD NIH HHS T32 HD040686
6 · The paper itself

Abstract

objectiveLegitimate 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.

designQuasi-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.

resultsThere 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.

conclusionIn 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.

Indexed as

Electronic PrescribingPrescription Drug Monitoring ProgramsAnalgesics, OpioidChildEthnicityHumansPatient DischargePediatricsPractice Patterns, Physicians'United StatesAnalgesics, Opioid

Identifiers

PMID31343713
PMCPMC7049086
OpenAlexW2937458840

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.