Evidence map›Paper›PMID 30077493›Full record

ArticleThe American journal of emergency medicine2019

Emergency department provider and facility variation in opioid prescriptions for discharged patients.

Michael J Ward, Diwas Kc, Cathy A Jenkins, Dandan Liu, Amit Padaki, Jesse M Pines

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in The American journal of emergency medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 22 citations in OpenAlex.

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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

6 authors at 4 institutions in 1 country.

Michael J WardDepartment of Emergency Medicine, Vanderbilt University School of Medicine, United States of America. Electronic address: michael.j.ward@vanderbilt.edu.
Diwas KcInformation Systems & Operations Management, Goizueta Business School, Emory University, United States of America.
Cathy A JenkinsDepartment of Biostatistics, Vanderbilt University School of Medicine, United States of America.
Dandan LiuDepartment of Biostatistics, Vanderbilt University School of Medicine, United States of America.
Amit PadakiDepartment of Emergency Medicine, Christiana Care Health System, United States of America.
Jesse M PinesDepartment of Emergency Medicine, Department Health Policy & Management, George Washington University School of Medicine and Health Sciences, United States of America.
Vanderbilt University · USChristiana Care Health System · USEmory University · USGeorge Washington University · US

Funding

Enhancing Inter-Facility Transfer for Patients with Acute Myocardial InfarctionK23HL127130 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WARD, MICHAEL J. · 2016 to 2019
$642k
NHLBI NIH HHS K23 HL127130
6 · The paper itself

Abstract

STUDY

objectiveTo study the variation in opioid prescribing among emergency physicians and facilities for discharged adult ED patients.

methodsWe conducted a retrospective analysis of ED visits from five U.S. hospitals between January and May 2014 using records from Data to Intelligence (D2i). We examined physician- and facility-level variation in opioid prescription rates for discharged ED patients. We calculated unadjusted opioid prescription rates at the physician and facility levels and used a multivariable mixed-effect logistic regression model to examine within-facility physician variation in opioid prescription adjusting for patient and situational factors including time of presentation, ED census, and physician workload.

resultsIn 47,304 visits across five EDs, median patient age was 40 years old (IQR 28,55), and 89% had some form of insurance. There were 17,098 (36%) ED discharges with at least one opioid prescription. The unadjusted facility-level opioid prescription rate ranged from 24%-46%. Among 253 ED physicians, the adjusted opioid prescription rate varied from 22%-76%. Increased physician workload is related to decreased odds of opioid prescription at ED discharge for the lowest (<3 patients) and moderate (6-9 patients) physician workload levels, while the association weakened with increasing levels of workload.

conclusionThere was substantial physician and facility variation in opioid prescription for discharged adult ED patients. Emergency physicians were less likely to prescribe opioids when their workload was lower, and this effect diminished at high workload levels. Understanding situational and other factors that explain this variation is important given the rising U.S. opioid epidemic and the need for urgent intervention.

Indexed as

AdultAnalgesics, OpioidEmergency Service, HospitalFemaleHumansMaleMiddle AgedPatient DischargePractice Patterns, Physicians'Retrospective StudiesWorkloadAnalgesics, Opioid

Identifiers

PMID30077493
PMCPMC6355391
OpenAlexW2885605824

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.