Evidence map›Paper›PMID 36322339›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2023

Policy-Relevant Indicators of Urban Emergency Medical Services COVID-19-Patient Encounters.

Mark Brennan, Justin Steil, Sophia Dyer, Laura Segal, James Salvia, Erin Serino

Open access · hybridAbstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2023. 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
1.4field-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

0 citing papers in PubMed, 6 citations in OpenAlex.

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

6 authors at 1 institution in 1 country.

Mark BrennanBoston Emergency Medical Services, 76 Albany Street, Boston, MA, 02111, USA. mbrenn@mit.edu.
Justin SteilBoston Emergency Medical Services, 76 Albany Street, Boston, MA, 02111, USA.
Sophia DyerBoston Emergency Medical Services, 76 Albany Street, Boston, MA, 02111, USA.
Laura SegalBoston Emergency Medical Services, 76 Albany Street, Boston, MA, 02111, USA.
James SalviaBoston Emergency Medical Services, 76 Albany Street, Boston, MA, 02111, USA.
Erin SerinoBoston Emergency Medical Services, 76 Albany Street, Boston, MA, 02111, USA.
Massachusetts Institute of Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the first two years of the COVID-19 pandemic, members of Boston Emergency Medical Services, the City of Boston's municipal ambulance service, had 7,689 encounters with confirmed-positive Boston residents. As COVID-19 virus strains continue to infect residents in Boston and across the country, understanding the correlation between population positivity, EMS encounters, and hospitalizations can inform healthcare response. This study examines urban virus-surveillance indicators that can serve as an early warning of the volume of Emergency Medical Services (EMS) encounters with COVID-19 positive patients and subsequently how EMS encounters with confirmed COVID-19 patients can serve as an early indicator of future hospital-demand surges. With daily data from Boston EMS and three other public agencies, we evaluate the relationship between five indicators and confirmed Boston EMS COVID-19 encounters by estimating separate Auto Regressive Integrated Moving Average models and cross-correlating their residuals. This study finds a significant and positive correlation between new COVID-19 cases citywide and EMS encounters 6 days later (p < 0.01), as well as between confirmed EMS encounters with COVID-19 patients and the number of intensive care unit beds occupied 7- and 18 -days later (p < 0.01). This study provides city health leadership needed clarity on the specific ordering and associated time lag in which infections in the population increase, EMS members encounter positive patients, and hospitals deliver care.

Indexed as

COVID-19Emergency Medical ServicesBostonHumansPandemicsSARS-CoV-2

Identifiers

PMID36322339
PMCPMC9628336
OpenAlexW4308160371

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.