Evidence map›Paper›PMID 25987909›Full record

ReviewThe western journal of emergency medicine2015

Racial differences in opiate administration for pain relief at an academic emergency department.

R Myles Dickason, Vijai Chauhan, Astha Mor, Erin Ibler, Sarah Kuehnle, Daren Mahoney, Eric Armbrecht, Preeti Dalawari

Open access · goldAbstract readComparative StudyReview
In one paragraph

Review in The western journal of emergency medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
3.8field-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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  6. Opioid Prescribing Disparity in Traumatically Injured Patients.Journal of the American College of Surgeons · 2025
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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

8 authors at 4 institutions in 1 country.

R Myles DickasonNew York Hospital Queens, Department of Emergency Medicine, Flushing, New York.
Vijai ChauhanSaint Louis University School of Medicine, Division of Emergency Medicine, St. Louis, Missouri.
Astha MorSaint Louis University School of Medicine, Division of Emergency Medicine, St. Louis, Missouri.
Erin IblerSt. Luke's Roosevelt Hospital Center, Department of Surgery, New York, New York.
Sarah KuehnleMaricopa Medical Center, Department of Emergency Medicine, Phoenix, Arizona.
Daren MahoneyUniversity of Nevada School of Medicine, Department of Emergency Medicine, Las Vegas, Nevada.
Eric ArmbrechtSaint Louis University Center for Outcomes Research, St. Louis, Missouri.
Preeti DalawariSaint Louis University School of Medicine, Division of Emergency Medicine, St. Louis, Missouri.
Saint Louis University · USMaricopa Medical Center · USNew York Hospital Queens · USUniversity of Nevada, Las Vegas · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe decision to treat pain in the emergency department (ED) is a complex, idiosyncratic process. Prior studies have shown that EDs undertreat pain. Several studies demonstrate an association between analgesia administration and race. This is the first Midwest single institution study to address the question of race and analgesia, in addition to examining the effects of both patient and physician characteristics on race-based disparities in analgesia administration.

methodsThis was a retrospective chart review of patients presenting to an urban academic ED with an isolated diagnosis of back pain, migraine, or long bone fracture (LBF) from January 1, 2007 to December 31, 2011. Demographic and medication administration information was collected from patient charts by trained data collectors blinded to the hypothesis of the study. The primary outcome was the proportion of African-Americans who received analgesia and opiates, as compared to Caucasians, using Pearson's chi-squared test. We developed a multiple logistic regression model to identify which physician and patient characteristics correlated with increased opiate administration.

resultsOf the 2,461 patients meeting inclusion criteria, 57% were African-American and 30% Caucasian (n=2136). There was no statistically significant racial difference in the administration of any analgesia (back pain: 86% vs. 86%, p=0.81; migraine: 83% vs. 73%, p=0.09; LBF: 94% vs. 90%, p=0.17), or in opiate administration for migraine or LBF. African-Americans who presented with back pain were less likely to receive an opiate than Caucasians (50% vs. 72%, p<0.001). Secondary outcomes showed that higher acuity, older age, physician training in emergency medicine, and male physicians were positively associated with opiate administration. Neither race nor gender patient-physician congruency correlated with opiate administration.

conclusionNo race-based disparity in overall analgesia administration was noted for all three conditions: LBF, migraine, and back pain at this institution. A race-based disparity in the likelihood of receiving opiate analgesia for back pain was observed in this ED. The etiology of this is likely multifactorial, but understanding physician and patient characteristics of institutions may help to decrease the disparity by raising awareness of practice patterns and can provide the basis for quality improvement projects.

Indexed as

Healthcare DisparitiesAnalgesics, OpioidBack PainBlack or African AmericanDrug Administration ScheduleEmergency Service, HospitalFractures, BoneHispanic or LatinoHumansMidwestern United StatesMigraine DisordersPainPain MeasurementPhysician-Patient RelationsPractice Patterns, Physicians'Retrospective StudiesAnalgesics, Opioid

Identifiers

PMID25987909
PMCPMC4427206
OpenAlexW2116117491

What OpenQuestion holds

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LicenceCC BY
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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.