Wide Variation and Overprescription of Opioids After Elective Surgery
OBJECTIVE:We aimed to identify opioid prescribing practices across surgical specialties and institutions. BACKGROUND:In an effort to minimize the contribution of prescription narcotics to the nationwide opioid epidemic, reductions in postoperative opioid prescribing have been proposed. It has been s...
Saved in:
Published in: | Annals of surgery Vol. 266; no. 4; pp. 564 - 573 |
---|---|
Main Authors: | , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
Copyright Wolters Kluwer Health, Inc. All rights reserved
01-10-2017
|
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | OBJECTIVE:We aimed to identify opioid prescribing practices across surgical specialties and institutions.
BACKGROUND:In an effort to minimize the contribution of prescription narcotics to the nationwide opioid epidemic, reductions in postoperative opioid prescribing have been proposed. It has been suggested that a maximum of 7 days, or 200 mg oral morphine equivalents (OME), should be prescribed at discharge in opioid-naïve patients.
METHODS:Adults undergoing 25 common elective procedures from 2013 to 2015 were identified from American College of Surgeons National Surgical Quality Improvement Program data from 3 academic centers in Minnesota, Arizona, and Florida. Opioids prescribed at discharge were abstracted from pharmacy data and converted into OME. Wilcoxon Rank-Sum and Kruskal-Wallis tests assessed variations.
RESULTS:Of 7651 patients, 93.9% received opioid prescriptions at discharge. Of 7181 patients who received opioid prescriptions, a median of 375 OME (interquartile range 225–750) were prescribed. Median OME varied by sex (375 men vs 390 women, P = 0.002) and increased with age (375 age 18–39 to 425 age 80+, P < 0.001). Patients with obesity and patients with non-cancer diagnoses received more opioids (both P < 0.001). Subset analysis of the 5756 (75.2%) opioid-naïve patients showed the majority received >200 OME (80.9%). Significant variations in opioid prescribing practices were seen within each procedure and between the 3 medical centers.
CONCLUSIONS:The majority of patients were overprescribed opioids. Significant prescribing variation exists that was not explained by patient factors. These data will guide practices to optimize opioid prescribing after surgery. |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0003-4932 1528-1140 |
DOI: | 10.1097/SLA.0000000000002365 |