Evidence map›Paper›PMID 33532010›Full record

ArticlePain research & management2021

Opioid Prescription Patterns for Discharged Patients from the Emergency Department.

Justin Yanuck, Jonathan B Lee, Soheil Saadat, Jila Rouhi, Ghadi Ghanem, Bharath Chakravarthy, Shalini Shah

Open access · goldAbstract read
In one paragraph

Article in Pain research & management, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Acupuncture intervention for acute pain in the Emergency Department trial: a consensus process.Acupuncture in medicine : journal of the British Medical Acupuncture Society · 2022
    Article
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

7 authors at 1 institution in 1 country.

Justin YanuckDepartment of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, 55 Fruit Street, Boston 02114, Massachusetts, USA.
Jonathan B LeeDepartment of Emergency Medicine, University of California, Irvine, California, USA.ORCID 0000-0002-3504-8464
Soheil SaadatDepartment of Emergency Medicine, University of California, Irvine, California, USA.
Jila RouhiDepartment of Anesthesiology & Perioperative Care, University of California, Irvine, California, USA.
Ghadi GhanemDepartment of Emergency Medicine, University of California, Irvine, California, USA.ORCID 0000-0002-3139-7050
Bharath ChakravarthyDepartment of Emergency Medicine, University of California, Irvine, California, USA.
Shalini ShahDepartment of Anesthesiology & Perioperative Care, University of California, Irvine, California, USA.
University of California, Irvine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: It is important to analyze the types of etiologies and provider demographics that drive opioid prescription in our emergency departments. Our study aimed to determine which patients in the ED are receiving opioid prescriptions, as well as their strength and quantity. Secondary outcomes included identifying difference in prescribing between provider classes. Methods: We conducted a retrospective study at a tertiary care university-based, level-one trauma ED from November 2017 to October 2018. We identified and analyzed data from 2,259 patients who were sent home with an opioid prescription. We retrieved patient and provider demographics, diagnosis, etiologies, and prescription information. Results: The mean age of a patient receiving an opioid prescription was 45, and 72.7% of patients were white. The most common diagnosis groups associated with an opioid prescription were abdominal pain (18.5%), nonfracture extremity pain (18.4%), and back/neck pain (12.5%). Hydrocodone-acetaminophen 5-325 mg was the most commonly prescribed (67.4%). The median total prescribed milligram morphine equivalent (MME) was highest for extremity fracture (75.0; IQR 54.0-100.0). The median total prescribed amount of pills was highest for patients with extremity fractures (15.0; IQR 12.0-20.0). Conclusions: Our study elucidates the prescribing patterns of an academic level 1 trauma center and should pave the way for future studies looking to maximize effectiveness at ways to curb ED opioid prescription.

Indexed as

Analgesics, OpioidEmergency Service, HospitalFemaleHumansMaleMiddle AgedPatient DischargePractice Patterns, Physicians'Retrospective StudiesAnalgesics, Opioid

Identifiers

PMID33532010
PMCPMC7837768
OpenAlexW3122058852

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.