Evidence map›Paper›PMID 26346526›Full record

ArticleThe Journal of surgical research2016

Insurance status influences emergent designation in surgical transfers.

Kristy Kummerow Broman, Sharon Phillips, Rachel M Hayes, Jesse M Ehrenfeld, Michael D Holzman, Kenneth Sharp, Sunil Kripalani, Benjamin K Poulose

Abstract read
In one paragraph

Article in The Journal of surgical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Outcomes of Access Center Transfers for Thoracic Surgical Issues.Annals of thoracic surgery short reports · 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.

Kristy Kummerow BromanSection of Surgical Sciences, Vanderbilt University Medical Center, Nashville, Tennessee; Geriatric Research, Education, and Clinical Center (GRECC), Tennessee Valley Healthcare System, Veterans Affairs Medical Center, Nashville, Tennessee. Electronic address: kristy.l.kummerow@vanderbilt.edu.
Sharon PhillipsDepartment of Biostatistics, Vanderbilt University Medical Center, Nashville, Tennessee.
Rachel M HayesSection of Surgical Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
Jesse M EhrenfeldSection of Surgical Sciences, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Bioinformatics, Vanderbilt University Medical Center, Nashville, Tennessee; Department of Health Policy, Vanderbilt University Medical Center, Nashville, Tennessee.
Michael D HolzmanSection of Surgical Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
Kenneth SharpSection of Surgical Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.
Sunil KripalaniSection of Hospital Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.
Benjamin K PouloseSection of Surgical Sciences, Vanderbilt University Medical Center, Nashville, Tennessee.

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
NCATS NIH HHS UL1 TR000445
6 · The paper itself

Abstract

backgroundThere is a perception among surgeons that hospitals disproportionately transfer unfavorably insured patients for emergency surgical care. Emergency medical condition (EMC) designation mandates referral center acceptance of patients for whom transfer is requested. We sought to understand whether unfavorably insured patients are more likely to be designated as EMCs. MATERIALS AND

methodsA retrospective cohort study was performed on patient transfers from a large network of acute care facilities to emergency surgery services at a tertiary referral center from 2009-2013. Insurance was categorized as favorable (commercial or Medicare) or unfavorable (Medicaid or uninsured). The primary outcome, transfer designation as EMC or non-EMC, was evaluated using multivariable logistic regression. A secondary analysis evaluated uninsured patients only.

resultsThere were 1295 patient transfers in the study period. Twenty percent had unfavorable insurance. Favorably insured patients were older with fewer nonwhite, more comorbidities, greater illness severity, and more likely transferred for care continuity. More unfavorably insured patients were designated as EMCs (90% versus 84%, P < 0.01). In adjusted models, there was no association between unfavorable insurance and EMC transfer (odds ratio [OR], 1.61; 95% confidence interval [CI], 0.98-2.69). Uninsured patients were more likely to be designated as EMCs (OR, 2.27; CI, 1.08-4.77).

conclusionsThe finding that uninsured patients were more likely to be designated as EMCs suggests nonclinical variation that may be mitigated by clearer definitions and increased interfacility coordination to identify patients requiring transfer for EMCs.

Indexed as

AdultAgedAged, 80 and overEmergenciesEmergency Service, HospitalFemaleHumansInsurance CoverageLogistic ModelsMaleMedicaidMedically UninsuredMedicareMiddle AgedPatient TransferRetrospective StudiesEmergency medical conditionEMTALAInsuranceInterhospitalTransferUninsured

Identifiers

PMID26346526
PMCPMC4691367

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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.