Evidence map›Paper›PMID 32211867›Full record

ArticleJAMA network open2020

Temporal Factors Associated With Opioid Prescriptions for Patients With Pain Conditions in an Urban Emergency Department.

Ben C Smith, Andrew D Vigotsky, A Vania Apkarian, Thomas J Schnitzer

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in JAMA network open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 3 pooled it
4.0field-weighted citation impact, top 6% 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

13 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Ben C SmithMedical Student, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Andrew D VigotskyDepartment of Biomedical Engineering, Northwestern University, Evanston, Illinois.
A Vania ApkarianCenter for Translational Pain Research, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Thomas J SchnitzerAnesthesiology and Medicine (Rheumatology), Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Northwestern University · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
Rodent Behavior CoreP50DA044121 · NIDA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI APKARIAN, APKAR VANIA · 2018 to 2022
$9.0M
NCATS NIH HHS UL1 TR001422NIDA NIH HHS P50 DA044121
6 · The paper itself

Abstract

Importance: Opioid prescriptions for treatment of pain in emergency departments (EDs) are associated with long-term opioid use. The temporal pattern of opioid prescribing in the context of the opioid epidemic remains unknown. Objective: To examine the temporal pattern of opioid prescribing within an ED for varying pain conditions between 2009 and 2018. Design, Setting, and Participants: A population-based, cross-sectional study was conducted at the ED of an urban academic medical center. All patients treated within that ED between January 1, 2009, and December 31, 2018, were included. Main Outcomes and Measures: The proportion of patients prescribed an opioid for treatment of pain in the ED temporally by condition, condition type, patient demographics, and physician prescriber. Results: Between 2009 and 2018, 556 176 patient encounters took place in the ED, with 70 218 unique opioid prescriptions ordered. A total of 316 632 patients (55.9%) were female, 45 070 (42.6%) were of white race, and 43 412 (40.6%) were privately insured; the median age group was 41 to 45 years. Yearly opioid prescriptions decreased by 66.3% (from 16.3 to 5.5 opioids per 100 encounters) between 2013 and 2018, with a yearly adjusted odds ratio (aOR) of 0.808 (95% CI, 0.802-0.814) compared with the prior year. In patients with musculoskeletal pain (back, joint, limb, and neck pain), opioid prescribing decreased by 71.1% (from 36.7 to 10.6 opioids per 100 encounters between 2013 and 2018; aOR, 0.758; 95% CI, 0.744-0.773). In patients with musculoskeletal trauma (fracture, sprain, contusion, and injury), opioid prescribing decreased by 58.0% (from 34.2 to 14.8 opioids per 100 encounters; aOR, 0.811; 95% CI, 0.797-0.824). In patients with nonmusculoskeletal pain (abdominal pain, kidney stone, respiratory distress, and pharyngitis) opioid prescribing decreased by 53.7% (from 20.1 to 9.3 opioids per 100 encounters; aOR, 0.850; 95% CI, 0.834-0.868). Between 2009 and 2018, patients who were black (aOR, 0.760; 95% CI, 0.741-0.779) and those who were Asian (aOR, 0.714; 95% CI, 0.665-0.764) had the lowest odds of receiving an opioid compared with other racial/ethnic groups. Conclusions and Relevance: There was a substantial temporal decrease in the number of opioid prescriptions within this ED during the study period. This decrease was associated with substantial relative reductions in opioid prescribing for treatment of musculoskeletal pain compared with fractures and kidney stones.

Indexed as

Hospitals, UrbanPractice Patterns, Physicians'AdultAnalgesics, OpioidCross-Sectional StudiesDrug PrescriptionsEmergency Service, HospitalEthnicityFemaleHumansIncidenceMaleMiddle AgedPainPain ManagementUnited StatesAnalgesics, Opioid

Identifiers

PMID32211867
PMCPMC7097712
OpenAlexW3013050597

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.