Evidence map›Paper›PMID 34305272›Full record

ArticleTransportation research record2020

Strengthening the Capacity of Emergency Medical Services in Low and Middle Income Countries using Dispatcher-Coordinated Taxis.

Vipul Mishra, Richa Ahuja, N Nezamuddin, Geetam Tiwari, Kavi Bhalla

Open access · greenAbstract read
In one paragraph

Article in Transportation research record, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Review
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 at 2 institutions in 2 countries.

Vipul MishraDepartment of Civil Engineering, Indian Institute of Technology, Delhi, India, 110016.
Richa AhujaTransportation Research Injury Prevention Programme (TRIPP), Indian Institute of Technology, Delhi, India, 110016.ORCID 0000-0003-1729-0748
N NezamuddinDepartment of Civil Engineering, Indian Institute of Technology, Delhi, India, 110016.
Geetam TiwariTransportation Research Injury Prevention Programme (TRIPP), Indian Institute of Technology, Delhi, India, 110016.
Kavi BhallaPublic Health Sciences, University of Chicago Biological Sciences Division, Chicago, Illinois, USA.
Indian Institute of Technology Delhi · INChicago Department of Public Health · US

Funding

Establishing feasibility of a taxi based dispatcher coordinated layperson emergency medical system for use in low and middle income countriesR21TW010168 · FIC · UNIVERSITY OF CHICAGO · PI BAWA BHALLA, KANWALJEET SINGH · 2016 to 2017
$383k
FIC NIH HHS R21 TW010168
6 · The paper itself

Abstract

International standards recommend provision of 1 ambulance for every 50,000 people to fulfil demand for transporting patients to definitive care facilities in Low and Middle Income Countries (LMICs). Governments' consistent attempt to build capacity of emergency medical services (EMS) in LMICs has been financially demanding. This study is an attempt to assess the feasibility of capacity building of existing EMS in Delhi, India by using taxis as an alternative mode of transport for emergency transportation of road traffic crash victims to enable improvement in response time for road traffic crashes where time criticality is deemed important. Performance of the proposed system is evaluated based on response time, coverage and distance. The system models the performance and quantifies the taxi - ambulance configuration for achieving EMS performance within international standards.

Indexed as

Emergency Medical ServicesLow and Middle Income CountriesResponse timeRoad Traffic CrashTaxi-Ambulance

Identifiers

PMID34305272
PMCPMC8297583
OpenAlexW3043606904

What OpenQuestion holds

Textmetadata
LicenceTDM
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.