Evidence map›Paper›PMID 35452139›Full record

ArticleThe Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association2022

The association of crash response times and deaths at the crash scene: A cross-sectional analysis using the 2019 National Emergency Medical Service Information System.

Oluwaseun J Adeyemi, Rajib Paul, Charles DiMaggio, Eric Delmelle, Ahmed Arif

Abstract read
In one paragraph

Article in The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. The association of crash response times and deaths at the crash scene: A cross-sectional analysis using the 2019 National Emergency Medical Service Information System.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
    Article
  4. Hospital Closures Increase Emergency Care Travel Time: Rural-Urban Disparities.Inquiry : a journal of medical care organization, provision and financing
    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

5 authors.

Oluwaseun J AdeyemiDepartment of Emergency Medicine, New York University Grossman School of Medicine, New York, New York, USA.ORCID 0000-0002-7287-970X
Rajib PaulDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina, USA.ORCID 0000-0002-5120-7525
Charles DiMaggioDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina, USA.ORCID 0000-0003-2356-6659
Eric DelmelleDepartment of Geography and Earth Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina, USA.ORCID 0000-0002-5117-2238
Ahmed ArifDepartment of Public Health Sciences, University of North Carolina at Charlotte, Charlotte, North Carolina, USA.ORCID 0000-0002-0237-9937

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeaths at the crash scene (DAS) are crash deaths that occur within minutes after a crash. Rapid crash responses may reduce the occurrence of DAS.

objectivesThis study aims to assess the association of crash response time and DAS during the rush and nonrush hour periods by rurality/urbanicity.

methodThis single-year cross-sectional study used the 2019 National Emergency Medical Services (EMS) Information System. The outcome variable was DAS. The predictor variables were crash response measures: EMS Chute Initiation Time (ECIT) and EMS Travel Time (ETT). Age, gender, substance use, region of the body injured, and the revised trauma score were used as potential confounders. Logistic regression was used to assess the unadjusted and adjusted odds of DAS.

resultsA total of 654,675 persons were involved in EMS-activated road crash events, with 49.6% of the population exposed to crash events during the rush hour period. A total of 2,051 persons died at the crash scene. Compared to the baseline of less than 1 minute, ECIT ranging from 1 to 5 minutes was significantly associated with 58% (95% CI: 1.45-1.73) increased odds of DAS. Also, when compared to the baseline of less than 9 minutes, ETT ranging between 9 and 18 minutes was associated with 34% (95% CI: 1.22-1.47) increased odds of DAS. These patterns were consistent during the rush and nonrush hour periods and across rural and urban regions.

conclusionReducing crash response times may reduce the occurrence of DAS.

Indexed as

Accidents, TrafficEmergency Medical ServicesCross-Sectional StudiesHumansInformation SystemsReaction Timecrash response timedeaths at the crash sceneEMS travel timerurality/urbanicityrush hour

Identifiers

PMID35452139
PMCPMC9790462

What OpenQuestion holds

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LicenceCC BY
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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.