Evidence map›Paper›PMID 39731008›Full record

ArticleInternational journal of emergency medicine2024

Urban traffic accidents in Isfahan city: a study of prehospital response time intervals.

Mehdi Nasr Isfahani, Nima Emadi, Farhad Heydari, Neda Al-Sadat Fatemi, Donya Sheibani Tehrani

Abstract read
In one paragraph

Article in International journal of emergency medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Mehdi Nasr IsfahaniDepartment of Emergency Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Nima EmadiDepartment of Emergency Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Farhad HeydariDepartment of Emergency Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Neda Al-Sadat FatemiTrauma Data Registration Center, Al-Zahra University Hospital, Isfahan University of Medical Sciences, Isfahan, Iran. ns.fatemi63@gmail.com.
Donya Sheibani TehraniDepartment of Neurosurgery, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTraffic accidents are a major public health concern worldwide, resulting in significant injuries, fatalities, and economic costs. In urban zones, traffic accident dynamics can vary significantly due to population density, infrastructure, and emergency response capabilities. The present study was conducted to determine the time intervals of prehospital emergencies in traffic accidents by separating the 15 zones of Isfahan city, Iran.

methodsThis descriptive study was conducted in 2023. The sampling approach involved a census that included all prehospital emergency missions that occurred in the second half of 2022. A total of 7613 missions were examined. To collect the data, a checklist covering demographic characteristics and mission-specific features was utilized. The information was recorded in an Excel spreadsheet and described via the prehospital emergency information system.

resultsAfter analyzing 7,613 urban missions, it was determined that Zone 12 had the highest number of prehospital emergency missions in all three time periods: morning, afternoon, and evening. Therefore, all the times (reaction time, response time, scene time, transfer time, and hospitalization time) were in accordance with prehospital emergency time standards in Iran.

conclusionOn the basis of the findings of this study, it is crucial to identify zones with greater population movement, highways, or high traffic volume and establish bases in suitable locations whenever feasible. Additionally, in zones with a greater number of missions, there should be an appropriate number of ambulances in proportion to the mission volume.

Indexed as

Hospital stay timePrehospital emergencyReaction timeResponse timeRoad traffic injuriesScene timeTraffic accidentsTransfer time

Identifiers

PMID39731008
PMCPMC11673912

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.