Evidence map›Paper›PMID 36370608›Full record

ArticleThe American journal of emergency medicine2023

Community socioeconomic and urban-rural differences in emergency medical services times for suspected stroke in North Carolina.

Srihari V Chari, Eric R Cui, Haylie E Fehl, Antonio R Fernandez, Jane H Brice, Mehul D Patel

Open access · greenAbstract read
In one paragraph

Article in The American journal of emergency medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
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 1 institution in 1 country.

Srihari V ChariDepartment of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Eric R CuiDepartment of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Haylie E FehlDepartment of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Antonio R FernandezDepartment of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA; ESO, Austin, TX, USA.
Jane H BriceDepartment of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Mehul D PatelDepartment of Emergency Medicine, University of North Carolina School of Medicine, Chapel Hill, NC, USA. Electronic address: mehul_patel@med.unc.edu.
University of North Carolina at Chapel Hill · US

Funding

North Carolina Translational and Clinical Science Institute (NC TraCS) KL2KL2TR002490 · NCATS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEINBERGER, MORRIS · 2018 to 2022
$11.0M
NCATS NIH HHS KL2 TR002490
6 · The paper itself

Abstract

objectiveOur objectives were to describe time intervals of EMS encounters for suspected stroke patients in North Carolina (NC) and evaluate differences in EMS time intervals by community socioeconomic status (SES) and rurality.

methodsThis cross-sectional study used statewide data on EMS encounters of suspected stroke in NC in 2019. Eligible patients were adults requiring EMS transport to a hospital following a 9-1-1 call for stroke-like symptoms. Incident street addresses were geocoded to census tracts and linked to American Community Survey SES data and to rural-urban commuting area (RUCA) codes. Community SES was defined as high, medium, or low based on tertiles of an SES index. Urban, suburban, and rural tracts were defined by RUCA codes 1, 2-6, and 7-10, respectively. Multivariable quantile regression was used to estimate how the median and 90th percentile of EMS time intervals varied by community SES and rurality, adjusting for each other; patient age, gender, and race/ethnicity; and incident characteristics.

resultsWe identified 17,117 eligible EMS encounters of suspected stroke from 2028 census tracts. The population was 65% 65+ years old; 55% female; and 69% Non-Hispanic White. Median response, scene, and transport times were 8 (interquartile range, IQR 6-11) min, 16 (IQR 12-20) min, and 14 (IQR 9-22) minutes, respectively. In quantile regression adjusted for patient demographics, minimal differences were observed for median response and scene times by community SES and rurality. The largest median differences were observed for transport times in rural (6.7 min, 95% CI 5.8, 7.6) and suburban (4.7 min, 95% CI 4.2, 5.1) tracts compared to urban tracts. Adjusted rural-urban differences in 90th percentile transport times were substantially greater (16.0 min, 95% CI 14.5, 17.5). Low SES was modesty associated with shorter median (-3.3 min, 95% CI -3.8, -2.9) and 90th percentile (-3.0 min, 95% CI -4.0, -2.0) transport times compared to high SES tracts.

conclusionsWhile community-level factors were not strongly associated with EMS response and scene times for stroke, transport times were significantly longer rural tracts and modestly shorter in low SES tracts, accounting for patient demographics. Further research is needed on the role of community socioeconomic deprivation and rurality in contributing to delays in prehospital stroke care.

Indexed as

Emergency Medical ServicesStrokeAgedCross-Sectional StudiesFemaleHumansMaleNorth CarolinaSocial ClassCommunityEmergency medical servicesRuralitySocioeconomic statusStroke

Identifiers

PMID36370608
PMCPMC10425758
OpenAlexW4308001858

What OpenQuestion holds

Textmetadata
LicenceTDM
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.