Evidence map›Paper›PMID 28852666›Full record

ArticleJournal of education and health promotion2017

Designing a model of patient tracking system for natural disaster in Iran.

Nahid Tavakoli, Mohammad H Yarmohammadian, Reza Safdari, Mahmoud Keyvanara

Abstract read
In one paragraph

Article in Journal of education and health promotion, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. 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.

Nahid TavakoliHealth Management and Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Mohammad H YarmohammadianHealth Management and Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Reza SafdariHealth Information Management Department, Tehran University of Medical Sciences, Tehran, Iran.
Mahmoud KeyvanaraSocial Determinants of Health Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextDisaster patient tracking consists of identifying and registering patients, recording data on their medical conditions, settings priorities for evacuation of scene, locating the patients from scene to health care centers and then till completion of treatment and discharge.

aimThe aim of this study was to design a model of patient tracking system for natural disaster in Iran. MATERIALS AND

methodsThis applied study was conducted in two steps in 2016. First, data on disaster patient tracking systems used in selected countries were collected from library-printed and electronic references and then compared. Next, a preliminary model of disaster patient tracking system was provided using these systems and validated by Delphi technique and focus group. The data of the first step were analyzed by content analysis and those of the second step by descriptive statistics.

resultsAnalysis of the comments of key information persons in three Delphi rounds, consisting of national experts, yielded three themes, i.e., content, function, and technology, ten subthemes, and 127 components, with consensus rate of over 75%, to provide a disaster patient tracking system for Iran.

conclusionIn Iran, there is no comprehensive process to manage the data on disaster patients. Offering a patient tracking system can be considered a humanitarian and effective measure to promote the process of identifying, caring for, evacuating, and transferring patients as well as documenting and following up their medical and location conditions from scene till completion of the treatment.

Indexed as

IranIranmodelModelNatural Disasternatural disasterspatient tracking systemPatient Trcking System

Identifiers

PMID28852666
PMCPMC5561719

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LicenceCC BY-NC-SA
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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 OpenQuestion graph.