Evidence map›Paper›PMID 41939947›Full record

ArticleProduction and operations management2025

An Investigation into Demographic Disparities in Emergency Department Disposition Decisions.

Qian Cheng, Nilay T Argon, Christopher S Evans, Peter Lin, Benjamin Linthicum, Yufeng Liu, Abhishek Mehrotra, Mehul D Patel, Serhan Ziya

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Production and operations management, 2025. 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
–field-weighted citation impact
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.

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

9 authors.

Qian ChengDepartment of Statistics and Operations Research, University of North Carolina, Chapel Hill, NC, USA.
Nilay T ArgonDepartment of Statistics and Operations Research, University of North Carolina, Chapel Hill, NC, USA.
Christopher S EvansDepartment of Emergency Medicine, East Carolina University, Greenville, NC, USA.
Peter LinDepartment of Statistics and Operations Research, University of North Carolina, Chapel Hill, NC, USA.
Benjamin LinthicumDepartment of Emergency Medicine, University of North Carolina, Chapel Hill, NC, USA.
Yufeng LiuDepartment of Statistics and Operations Research, University of North Carolina, Chapel Hill, NC, USA.
Abhishek MehrotraDepartment of Emergency Medicine, University of North Carolina, Chapel Hill, NC, USA.
Mehul D PatelDepartment of Emergency Medicine, University of North Carolina, Chapel Hill, NC, USA.
Serhan ZiyaDepartment of Statistics and Operations Research, University of North Carolina, Chapel Hill, NC, USA.ORCID https://orcid.org/0000-0003-1558-6051

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigate the presence of health disparities in emergency department (ED) disposition decisions and if crowding levels might have an exacerbating role. Using data from a large, academic ED, we find statistically significant associations between ED disposition decisions and patient sex, race, as well as ethnicity, with male, Caucasian, and non-Hispanic patients being more likely to be admitted to the hospital compared with, respectively, female, African-American, and Hispanic patients. In line with earlier findings in other studies, we find that longer waiting times, suggesting higher levels of ED crowding, is associated with higher rates of admission. Moreover, longer ED wait times modified sex differences, suggesting that the disposition disparity in female patients might be exacerbated when the ED is more crowded.

Indexed as

crowdingdisposition decisionsemergency departmenthealthcare operationsHealth disparities

Identifiers

PMID41939947
PMCPMC13044459

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.