Evidence map›Paper›PMID 28515604›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2017

Development and Psychometric Evaluation of the Pre-hospital Medical Emergencies Early Warning Scale.

Abbasali Ebrahimian, Gholamreza Masoumi, Roohangiz Jamshidi-Orak, Hesam Seyedin

Open access · bronzeAbstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Development a Reverse Triage System Based on Modified Sequential Organ Failure Assessment for Increasing the Critical Care Surge Capacity.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2018
    Article
  5. 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

4 authors at 2 institutions in 1 country.

Abbasali EbrahimianNursing Care Research Center, Semnan University of Medical Sciences, Semnan, Iran.
Gholamreza MasoumiEmergency Management Research Center, School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Roohangiz Jamshidi-OrakDepartment of Statistics and Mathematics, Iran University of Medical Sciences, Tehran, Iran.
Hesam SeyedinDepartment of School of Health Management and Information Sciences, Iran University of Medical Sciences, Tehran, Iran.
Iran University of Medical Sciences · IRSemnan University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe number of requests for emergency medical services (EMSs) has increased during the past decade. However, most of the transports are not essential. Therefore, it seems crucial to develop an instrument to help EMS staff accurately identify patients who need pre-hospital care and transportation. The aim of this study was to develop and evaluate the psychometric properties of the Pre-hospital Medical Emergencies Early Warning Scale (Pre-MEWS). MATERIALS AND

methodsThis mixed-method study was conducted in two phases. In the first phase, a qualitative content analysis study was conducted to identify the predictors of medical patients' need for pre-hospital EMS and transportation. In the second phase, the face and the content validity as well as the internal consistency of the scale were evaluated. Finally, the items of the scale were scored and scoring system was presented.

resultsThe final version of the scale contained 22 items and its total score ranged from 0 to 54.

conclusionsPre-MEWS helps EMS staffs properly understand medical patients' conditions in pre-hospital environments and accurately identify their need for EMS and transportation.

Indexed as

Early Warning Scaleemergency carepre-hospital markerscoring system

Identifiers

PMID28515604
PMCPMC5416787
OpenAlexW2606321018

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.