Evidence map›Paper›PMID 31723487›Full record

ArticleCureus2019

The Association Between Patient Visit Demographics and Opioid Analgesic Received in the Emergency Department.

Logan J Richards, Nicholas J Hopkins, Nicholas A Colwell, Abe E Sahmoun, James R Beal

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

5 authors at 2 institutions in 1 country.

Logan J RichardsMiscellaneous, University of North Dakota School of Medicine and Health Sciences, Bismarck, USA.
Nicholas J HopkinsMiscellaneous, University of North Dakota School of Medicine, Grand Forks, USA.
Nicholas A ColwellFamily & Community Medicine, University of North Dakota School of Medicine, Grand Forks, USA.
Abe E SahmounInternal Medicine, University of North Dakota School of Medicine and Health Sciences, Fargo, USA.
James R BealFamily & Community Medicine, University of North Dakota School of Medicine, Grand Forks, USA.
University of North Dakota · USNorth Dakota Department of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionMinimal research has been conducted on the prescribing patterns of emergency room physicians. The opioid epidemic is a well-known public health crisis and increased knowledge of providers' tendencies to prescribe opioids over other analgesia may help to update guidelines, improve patient safety, and lower the amount of opioid diversion and death from overdose. The purpose of this study was to determine the association between patient visit demographics and prescribed opiate analgesics.

methodsWe conducted a retrospective study analyzing adult patient visits that were seen in the emergency setting for acute pain including chest pain, back pain, abdominal pain, headache, face/tooth/ear, or musculoskeletal pain, utilizing the 2011-2016 National Hospital Ambulatory Medical Care Survey Emergency Department Patient Record dataset. We analyzed the relationship between various patient visit characteristics and whether opiate analgesics were given or prescribed.  Results: Our study included 73,983 visits for pain, representing an estimated 407 million weighted visits over the study period. We found that those who received opiates were more likely to be female, 62.9% vs. 60.2% and more likely to be white, 74.2% vs. 71.3 %. Furthermore, visits that received opiates were more likely to be younger, have private insurance, and be in increased pain (all P-values = 0.000).  Conclusion: We found that certain patient visit characteristics - including being female, white, younger, and private insurance - were given opiates more in the emergency department. Females have been found to report more pain, the elderly have special considerations regarding pain medications (including the risk of delirium and drug-drug interactions), while insurance status may be confounded by age (Medicare being a large portion of government insurance). However, explanations for differences in prescription rates by race could not be easily discerned.

Indexed as

agebiasdemographicsemergency departmentepidemiologyopiateopioidprescribingrace

Identifiers

PMID31723487
PMCPMC6825449
OpenAlexW2974685880

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.