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Criteria and models for the distribution of casualties in trauma-related mass casualty incidents: a systematic literature review protocol
BACKGROUND: One of the most critical practices in mass casualty incident management is vacating the victims from scene of the incident and transporting them to proper healthcare facilities. Decision on distribution of casualties needs to be taken on pre-developed policies and structured decision sup...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5508483/ https://www.ncbi.nlm.nih.gov/pubmed/28701204 http://dx.doi.org/10.1186/s13643-017-0538-z |
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author | Ardalan, Ali Khajehaminian, Mohammad Reza Hosseini Boroujeni, Sayed Mohsen Nejati, Amir Keshtkar, Abbasali Foroushani, Abbas Rahimi Ebadati E., Omid Mahdi |
author_facet | Ardalan, Ali Khajehaminian, Mohammad Reza Hosseini Boroujeni, Sayed Mohsen Nejati, Amir Keshtkar, Abbasali Foroushani, Abbas Rahimi Ebadati E., Omid Mahdi |
author_sort | Ardalan, Ali |
collection | PubMed |
description | BACKGROUND: One of the most critical practices in mass casualty incident management is vacating the victims from scene of the incident and transporting them to proper healthcare facilities. Decision on distribution of casualties needs to be taken on pre-developed policies and structured decision support mechanisms. While many studies tried to present models for the distribution of casualties, no systematic review has yet been conducted to evaluate the existing models on casualty distribution following mass casualty incidents. A systematic review is therefore needed to examine the existing models of patient distribution and to provide a summary of the models. This systematic review protocol is aimed to examine the existing models and extracting rules and principles of mass casualty distribution. METHODS: This study will comprehensively investigate existing papers with search phrases and terms including “mass casualty incident”, distribution, evacuation, and Mesh terms directly corresponding to search phrases. No limitations on the type of studies, date of publication, or language of the relevant documents will be imposed. PubMed, Web of Science, Scopus, and Google Scholar will be searched to access the relevant documents. Included papers will be critically appraised by two independent reviewers. The data including incidents type, scene characteristics, patient features, pre-hospital resources, and hospital resources will be categorized. Subgroup analysis will be conducted when possible. DISCUSSION: To the best of our knowledge, no study has yet addressed the effects and interaction of contributing factors on the decision-making processes for casualty’s distribution. This is the first study that comprehensively assesses and critically appraises the current models of casualty distribution. This study will provide evidences about models and criteria for casualty distribution following mass casualty incidents. SYSTEMATIC REVIEW REGISTRATION: PROSPERO Registration Number: CRD42016049115 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13643-017-0538-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5508483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55084832017-07-17 Criteria and models for the distribution of casualties in trauma-related mass casualty incidents: a systematic literature review protocol Ardalan, Ali Khajehaminian, Mohammad Reza Hosseini Boroujeni, Sayed Mohsen Nejati, Amir Keshtkar, Abbasali Foroushani, Abbas Rahimi Ebadati E., Omid Mahdi Syst Rev Protocol BACKGROUND: One of the most critical practices in mass casualty incident management is vacating the victims from scene of the incident and transporting them to proper healthcare facilities. Decision on distribution of casualties needs to be taken on pre-developed policies and structured decision support mechanisms. While many studies tried to present models for the distribution of casualties, no systematic review has yet been conducted to evaluate the existing models on casualty distribution following mass casualty incidents. A systematic review is therefore needed to examine the existing models of patient distribution and to provide a summary of the models. This systematic review protocol is aimed to examine the existing models and extracting rules and principles of mass casualty distribution. METHODS: This study will comprehensively investigate existing papers with search phrases and terms including “mass casualty incident”, distribution, evacuation, and Mesh terms directly corresponding to search phrases. No limitations on the type of studies, date of publication, or language of the relevant documents will be imposed. PubMed, Web of Science, Scopus, and Google Scholar will be searched to access the relevant documents. Included papers will be critically appraised by two independent reviewers. The data including incidents type, scene characteristics, patient features, pre-hospital resources, and hospital resources will be categorized. Subgroup analysis will be conducted when possible. DISCUSSION: To the best of our knowledge, no study has yet addressed the effects and interaction of contributing factors on the decision-making processes for casualty’s distribution. This is the first study that comprehensively assesses and critically appraises the current models of casualty distribution. This study will provide evidences about models and criteria for casualty distribution following mass casualty incidents. SYSTEMATIC REVIEW REGISTRATION: PROSPERO Registration Number: CRD42016049115 ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13643-017-0538-z) contains supplementary material, which is available to authorized users. BioMed Central 2017-07-12 /pmc/articles/PMC5508483/ /pubmed/28701204 http://dx.doi.org/10.1186/s13643-017-0538-z Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Protocol Ardalan, Ali Khajehaminian, Mohammad Reza Hosseini Boroujeni, Sayed Mohsen Nejati, Amir Keshtkar, Abbasali Foroushani, Abbas Rahimi Ebadati E., Omid Mahdi Criteria and models for the distribution of casualties in trauma-related mass casualty incidents: a systematic literature review protocol |
title | Criteria and models for the distribution of casualties in trauma-related mass casualty incidents: a systematic literature review protocol |
title_full | Criteria and models for the distribution of casualties in trauma-related mass casualty incidents: a systematic literature review protocol |
title_fullStr | Criteria and models for the distribution of casualties in trauma-related mass casualty incidents: a systematic literature review protocol |
title_full_unstemmed | Criteria and models for the distribution of casualties in trauma-related mass casualty incidents: a systematic literature review protocol |
title_short | Criteria and models for the distribution of casualties in trauma-related mass casualty incidents: a systematic literature review protocol |
title_sort | criteria and models for the distribution of casualties in trauma-related mass casualty incidents: a systematic literature review protocol |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5508483/ https://www.ncbi.nlm.nih.gov/pubmed/28701204 http://dx.doi.org/10.1186/s13643-017-0538-z |
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