Evidence map›Paper›PMID 35078516›Full record

ArticleBMC research notes2022

One-year spatiotemporal database of Emergency Medical Service (EMS) calls in Mashhad, Iran: data on 224,355 EMS calls.

Soheil Hashtarkhani, Behzad Kiani, Alireza Mohammadi, Shahab MohammadEbrahimi, Saeid Eslami, Mahmood Tara, Stephen A Matthews

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC research notes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

7 authors at 3 institutions in 2 countries.

Soheil HashtarkhaniDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID http://orcid.org/0000-0001-7750-6294
Behzad KianiDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Kiani.Behzad@gmail.com.ORCID http://orcid.org/0000-0002-8816-328X
Alireza MohammadiDepartment of Geography and Urban Planning, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran.ORCID http://orcid.org/0000-0002-3327-0942
Shahab MohammadEbrahimiDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.ORCID https://orcid.org/0000-0002-1494-1544
Saeid EslamiDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mahmood TaraDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Taram@mums.ac.ir.ORCID http://orcid.org/0000-0003-3945-7772
Stephen A MatthewsDepartment of Sociology and Criminology, and Department of Anthropology, The Pennsylvania State University, University Park, PA, USA.ORCID http://orcid.org/0000-0002-1645-4854
Mashhad University of Medical Sciences · IRPennsylvania State University · USUniversity of Mohaghegh Ardabili · IR

Funding

mashhad university of medical sciences 970861
6 · The paper itself

Abstract

objectivesEmergency Medical Services (EMS) is the first point of service for the people who are in critical condition and in need of urgent health care. In Iran, as in other countries, people in need of emergency services often die or are left with a permanent injury due to the poor EMS-related infrastructure. It has been shown that a detailed examination of the response times and the spatiotemporal pattern of EMS calls for service can lead to improvements in time-sensitive patient outcomes. We performed a spatiotemporal study in city of Mashhad, the second-most populous city of Iran, to investigate the pattern of the EMS calls and now wish to release a comprehensive dataset resulting from this study. DATA DESCRIPTION: The data include three data files plus a data dictionary file. Data file 1 contains the characteristics of EMS requests including sex, age group, date of call, different time periods of each EMS missions, the census tracts' ID of callers, the chief complaint, and the EMS mission result. Two spatial data files include the boundaries of the census tracts in Mashhad and the point location of all EMS stations, respectively. A data dictionary file defines all fields and values across the data files.

Indexed as

Census TractEmergency Medical ServicesCitiesDatabases, FactualHumansIranRetrospective StudiesEmergency Medical ServicesEMS datasetIranMashhadSpatial analysis

Identifiers

PMID35078516
PMCPMC8787882
OpenAlexW4210517725

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.