Evidence map›Paper›PMID 34323113›Full record

ArticleJournal of the American Heart Association2021

Disparities in Emergency Medical Services Time Intervals for Patients with Suspected Acute Coronary Syndrome: Findings from the North Carolina Prehospital Medical Information System.

Eric R Cui, Antonio R Fernandez, Jessica K Zegre-Hemsey, Joseph M Grover, Gilson Honvoh, Jane H Brice, Joseph S Rossi, Mehul D Patel

Abstract readComparative Study
In one paragraph

Article in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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.

Eric R CuiDepartment of Emergency Medicine School of Medicine University of North Carolina at Chapel Hill Chapel Hill NC.
Antonio R FernandezDepartment of Emergency Medicine School of Medicine University of North Carolina at Chapel Hill Chapel Hill NC.
Jessica K Zegre-HemseySchool of Nursing University of North Carolina at Chapel Hill Chapel Hill NC.
Joseph M GroverDepartment of Emergency Medicine School of Medicine University of North Carolina at Chapel Hill Chapel Hill NC.
Gilson HonvohDepartment of Biostatistics Gillings School of Global Public Health University of North Carolina at Chapel Hill Chapel Hill NC.
Jane H BriceDepartment of Emergency Medicine School of Medicine University of North Carolina at Chapel Hill Chapel Hill NC.
Joseph S RossiDivision of Cardiology Department of Medicine University of North Carolina at Chapel Hill Chapel Hill NC.
Mehul D PatelDepartment of Emergency Medicine School of Medicine University of North Carolina at Chapel Hill Chapel Hill NC.

Funding

Patient-reported Symptoms of Acute Coronary Syndrome in Prehospital Cardiac CareK23NR017896 · NINR · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZEGRE-HEMSEY, JESSICA KATHLEEN · 2019 to 2021
$425k
NINR NIH HHS K23 NR017896
6 · The paper itself

Abstract

Background Timely emergency medical services (EMS) response, management, and transport of patients with suspected acute coronary syndrome (ACS) significantly reduce delays to emergency treatment and improve outcomes. We evaluated EMS response, scene, and transport times and adherence to proposed time benchmarks for patients with suspected ACS in North Carolina from 2011 to 2017. Methods and Results We conducted a population-based, retrospective study with the North Carolina Prehospital Medical Information System, a statewide electronic database of all EMS patient care reports. We analyzed 2011 to 2017 data on patient demographics, incident characteristics, EMS care, and county population density for EMS-suspected patients with ACS, defined as a complaint of chest pain or suspected cardiac event and documentation of myocardial ischemia on prehospital ECG or prehospital activation of the cardiac care team. Descriptive statistics for each EMS time interval were computed. Multivariable logistic regression was used to quantify relationships between meeting response and scene time benchmarks (11 and 15 minutes, respectively) and prespecified covariates. Among 4667 patients meeting eligibility criteria, median response time (8 minutes) was shorter than median scene (16 minutes) and transport (17 minutes) time. While scene times were comparable by population density, patients in rural (versus urban) counties experienced longer response and transport times. Overall, 62% of EMS encounters met the 11-minute response time benchmark and 49% met the 15-minute scene time benchmark. In adjusted regression analyses, EMS encounters of older and female patients and obtaining a 12-lead ECG and venous access were independently associated with lower adherence to the scene time benchmark. Conclusions Our statewide study identified urban-rural differences in response and transport times for suspected ACS as well as patient demographic and EMS care characteristics related to lower adherence to scene time benchmark. Strategies to reduce EMS scene times among patients with ACS need to be developed and evaluated.

Indexed as

Time-to-TreatmentAcute Coronary SyndromeAdultAgedAged, 80 and overBenchmarkingDatabases, FactualEmergency Medical ServicesEmergency Service, HospitalFemaleGuideline AdherenceHealthcare DisparitiesHumansMaleMiddle AgedNorth Carolinaacute coronary syndromedisparitiesemergency medical servicesprehospital delay

Identifiers

PMID34323113
PMCPMC8475668

What OpenQuestion holds

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LicenceCC BY-NC
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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.