Evidence map›Paper›PMID 26024515›Full record

ArticlePloS one2015

Ethnic Disparities in Emergency Severity Index Scores among U.S. Veteran's Affairs Emergency Department Patients.

Jacob M Vigil, Joe Alcock, Patrick Coulombe, Laurie McPherson, Mark Parshall, Allison Murata, Heather Brislen

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  11. First Nations status and emergency department triage scores in Alberta: a retrospective cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2022
    Article
  12. Article
  13. Health Services Utilization Among Chinese American Older Adults: Moderation of Social Support With Functional Limitation.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2020
    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

7 authors at 2 institutions in 1 country.

Jacob M VigilUniversity of New Mexico, Albuquerque, New Mexico, United States of America.
Joe AlcockUniversity of New Mexico, Albuquerque, New Mexico, United States of America.
Patrick CoulombeUniversity of New Mexico, Albuquerque, New Mexico, United States of America.
Laurie McPhersonUniversity of New Mexico, Albuquerque, New Mexico, United States of America.
Mark ParshallUniversity of New Mexico, Albuquerque, New Mexico, United States of America.
Allison MurataNew Mexico Veterans Affairs Health Center, Albuquerque, New Mexico, United States of America.
Heather BrislenNew Mexico Veterans Affairs Health Center, Albuquerque, New Mexico, United States of America.
University of New Mexico · USNew Mexico VA Health Care System · US

Funding

UNM HSC Clinical and Translational Science CenterUL1TR001449 · NCATS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI CAMPEN, MATTHEW J, PANDHI, NANCY · 2015 to 2024
$36.9M
University of New Mexico Clinical and Translational Science CenterUL1TR000041 · NCATS · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI LARSON, RICHARD S · 2012 to 2014
$9.8M
NCATS NIH HHS UL1 TR000041NCATS NIH HHS UL1 TR001449
6 · The paper itself

Abstract

backgroundThe goal of these analyses was to determine whether there were systematic differences in Emergency Severity Index (ESI) scores, which are intended to determine priority of treatment and anticipate resource needs, across categories of race and ethnicity, after accounting for patient-presenting vital signs and examiner characteristics, and whether these differences varied among male and female Veterans Affairs (VA) ED patients. METHODS AND

findingsWe used a large national database of electronic medical records of ED patients from twenty-two U.S. Department of Veterans Affairs ED stations to determine whether ESI assignments differ systematically by race or ethnicity. Multi-level, random effects linear modeling was used to control for demographic characteristics and patient's vital signs (heart rate, respiratory rate, and pain level), as well as age, gender, and experience of triage nurses. The dataset included 129,991 VA patients presenting for emergency care between 2008 and 2012 (91% males; 61% non-Hispanic White, 28% Black, 7% Hispanic, 2% Asian, <1% American Indian/Alaska Native, 1% mixed ethnicity) and 774 nurses for a total of 359,642 patient/examiner encounters. Approximately 13% of the variance in ESI scores was due to patient characteristics and 21% was due to the nurse characteristics. After controlling for characteristics of nurses and patients, Black patients were assigned less urgent ESI scores than White patients, and this effect was more prominent for Black males compared with Black females. A similar interaction was found for Hispanic males. It remains unclear how these results may generalize to EDs and patient populations outside of the U.S. VA Health Care system.

conclusionsThe findings suggest the possibility that subgroups of VA patients receive different ESI ratings in triage, which may have cascading, downstream consequences for patient treatment quality, satisfaction with care, and trust in the health equity of emergency care.

Indexed as

EthnicityHealth Services AccessibilitySeverity of Illness IndexVeteransAdolescentAdultAgedAged, 80 and overAsianBlack or African AmericanElectronic Health RecordsEmergency Service, HospitalFemaleHispanic or LatinoHumansMale

Identifiers

PMID26024515
PMCPMC4449190
OpenAlexW969751123

What OpenQuestion holds

Textmetadata
LicenceCC0
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.