Evidence map›Paper›PMID 34763238›Full record

ArticleThe American journal of emergency medicine2022

Assessing local California trends in emergency physician opioid prescriptions from 2012 to 2020: Experiences in a large academic health system.

Joshua W Elder, Zheng Gu, Jeehyoung Kim, Aimee Moulin, Heejung Bang, Aman Parikh, Larissa May

Open access · hybridAbstract read
In one paragraph

Article in The American journal of emergency medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Joshua W ElderDepartment of Emergency Medicine, University of California, Davis, School of Medicine, Sacramento, CA, United States of America. Electronic address: jelder@ucdavis.edu.
Zheng GuDepartment of Research & Evaluation, Southern California Permanente Medical Group, Kaiser Permanente Research, Pasadena, CA, United States of America.
Jeehyoung KimDepartment of Orthopedic Surgery, Seoul Sacred Heart General Hospital, Seoul, Republic of Korea.
Aimee MoulinDepartment of Emergency Medicine, University of California, Davis, School of Medicine, Sacramento, CA, United States of America.
Heejung BangDepartment of Research & Evaluation, Southern California Permanente Medical Group, Kaiser Permanente Research, Pasadena, CA, United States of America.; Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, CA, United States of America.
Aman ParikhDepartment of Emergency Medicine, University of California, Davis, School of Medicine, Sacramento, CA, United States of America.
Larissa MayDepartment of Emergency Medicine, University of California, Davis, School of Medicine, Sacramento, CA, United States of America.
University of California, Davis · US

Funding

UC Davis Clinical and Translational Science CenterUL1TR001860 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KENYON, NICHOLAS J., LYLES, COURTNEY REES · 2016 to 2025
$47.3M
NCATS NIH HHS UL1 TR001860
6 · The paper itself

Abstract

objectivesThere has been increased focus nationally on limiting opioid prescriptions. National data demonstrates a decrease in annual opioid prescriptions among emergency medicine physicians. We analyzed data from 2012 to 2020 from a large academic health system in California to understand trends in opioid prescribing patterns for emergency department (ED) discharged patients and assessed the potential impact of two initiatives at limiting local opioid prescriptions.

methodsIn 2012-2020, monthly ED visit data was used to evaluate the total number of outpatient opioid prescriptions and percent of ED visits with opioid prescriptions (as primary outcomes). Descriptive statistics, graphic representation, and segmented regression with interrupted times series were used based on two prespecified time points associated with intensive local initiatives directed at limiting opioid prescribing1) comprehensive emergency medicine resident education and 2) electronic health record (EHR)-based intervention.

resultsBetween March 2012 and July 2020, a total of 41,491 ED discharged patients received an opioid prescription. The three most commonly prescribed drugs were hydrocodone (84.1%), oxycodone (10.8%), and codeine (2.8%). After implementing comprehensive emergency medicine resident education, the total number of opioid prescriptions, the percentage of opioid prescriptions over total ED visit numbers and the total tablet number showed decreasing trends (p's ≤ 0.01), in addition to the natural (pre-intervention) decreasing trends. In contrast, later interventions in the EHR tended to show attenuated decreasing trends.

conclusionsFrom 2012 to 2020, we found that total opioid prescriptions decreased significantly for discharged ED patients. This trend is seen nationally. However, our specific interventions further heightened this downward trend. Evidence-based legislation, policy changes, and educational initiatives that impact prescribing practices should guide future efforts.

Indexed as

Electronic Health RecordsAdultAnalgesics, OpioidCaliforniaCodeineDrug PrescriptionsEmergency MedicineEmergency Service, HospitalFemaleHumansHydrocodoneInternship and ResidencyInterrupted Time Series AnalysisMaleMiddle AgedOxycodoneAnalgesics, OpioidCodeineHydrocodoneOxycodoneEmergency medicineEmergency physiciansOpioid epidemicOpioid prescriptions

Identifiers

PMID34763238
PMCPMC8684538
OpenAlexW3208550920

What OpenQuestion holds

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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.