Evidence map›Paper›PMID 34723392›Full record

ArticleHealth services research2022

Potential bypassing of nearest emergency department by EMS transports.

Amresh D Hanchate, Danyang Qi, Jason P Stopyra, Michael K Paasche-Orlow, William E Baker, James Feldman

Open access · greenAbstract read
In one paragraph

Article in Health services research, 2022. 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
2.2field-weighted citation impact, top 12% 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, 12 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 3 institutions in 2 countries.

Amresh D HanchateDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.ORCID 0000-0002-7038-4463
Danyang QiSuperMap International Limited, Beijing, China.
Jason P StopyraDepartment of Emergency Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Michael K Paasche-OrlowSection of General Internal Medicine, Boston University School of Medicine, Boston, Massachusetts, USA.
William E BakerDepartment of Emergency Medicine, Boston University School of Medicine, Boston, Massachusetts, USA.
James FeldmanDepartment of Emergency Medicine, Boston University School of Medicine, Boston, Massachusetts, USA.
Boston University · USBeijing International Studies University · CNWake Forest University · US

Funding

Wake Forest Clinical and Translational Science AwardKL2TR001421 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI MILLER, DAVID P · 2015 to 2023
$5.8M
Racial and Ethnic Health Disparities Due to Ambulance DiversionR01HL127212 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI FELDMAN, JAMES ALAN, HANCHATE, AMRESH D · 2016 to 2019
$2.0M
NCATS NIH HHS KL2 TR001421NHLBI NIH HHS R01 HL127212
6 · The paper itself

Abstract

objectiveGuidelines recommend emergency medical services (EMS) patients to be transported to the nearest appropriate emergency department (ED). Our objective was to estimate the prevalence of EMS transport to an ED other than the nearest ED ("potential bypassing"). DATA SOURCES: Illinois Prehospital Patient Care Report Data of EMS transports (July 2019 to December 2019). DATA COLLECTION/EXTRACTION

methodsWe identified all EMS ground transports with an advanced life-support (ALS) paramedic to an ED for patients aged 21 years and older. Using street address of incident location, we performed geocoding and driving route analyses and obtained estimated driving distance and time to the destination ED and alternative EDs. MAIN OUTCOME AND MEASURES: Our main outcomes were dichotomous indicators of potential bypassing of the nearest ED based on distance and time. As secondary outcomes we examined potential bypassing indicators based on excess driving distance and time. STUDY

designWe used Poisson regression models to obtain adjusted relative rates of potential bypassing indicators by acuity level, primary impression, patient demographics and geographic characteristics. PRINCIPAL

findingsOur study cohort of 361,051 EMS transports consisted of 5.8% critical, 37.2% emergent and 57.0% low acuity cases transported to 222 EDs. The observed rate of potential bypassing was approximately 34% of cases for each acuity level. Treating the cardiovascular primary impression code group as the reference case, we found small to no differences in potential bypassing rates across other primary impression code groups of all acuity levels, with the exception of critical acuity trauma cases for which potential bypassing rate was 64% higher (incidence rate ratio = 1.64, 95% confidence interval, 1.54-1.74). Compared to zip codes with one ED within a 5-mile vicinity, potential bypassing was higher in areas with no ED or multiple EDs within a 5-mile vicinity.

conclusionApproximately one-third of EMS transports potentially bypassed the nearest ED. EMS transport destination may be motivated by factors other than proximity.

Indexed as

Emergency Medical ServicesCohort StudiesEmergency Service, HospitalHumansIllinoisResearch Designambulancebypassingdestinationemergency departmentemergency medical serviceshospital

Identifiers

PMID34723392
PMCPMC8928012
OpenAlexW3210355258

What OpenQuestion holds

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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.