Evidence map›Paper›PMID 42736344›Full record

Articlenpj health systems2026

Inequities in urban emergency medical services.

Christin Salley, Neda Mohammadi, John E Taylor, Joe F Bozeman Iii

Abstract read
In one paragraph

Article in npj health systems, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Christin SalleySchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA. c.salley@gwu.edu.
Neda MohammadiSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
John E TaylorSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Joe F Bozeman IiiSchool of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the United States, systems such as Emergency Medical Services (EMS) provide rapid aid and medical care during emergencies and crisis events. EMS operations purportedly treat all callers equally, noting that certain information, such as select demographics, remains veiled until on the scene. However, disparities still persist, highlighting the need for further research investigating whether and how pre-existing inequities affect EMS response efforts. Here, we investigated differences in response times in New York City through regression analyses to (1) examine statistical disparities and (2) discover potential barriers that may contribute to disparities identified. Using data from the Fire Department of New York City, we analyzed 15,349,368 EMS response times from 2010 to 2020 to examine disparity and 1,363,382 response times from 2020 to investigate potential barriers. Results revealed significant inconsistencies in response times and failure to meet industry standards in higher-risk areas. This study elucidates the need for addressing such inequities and advancing equitable emergency management practices.

Identifiers

PMID42736344
PMCPMC13575164

What OpenQuestion holds

Textmetadata
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.