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Towards developing a model for the evaluation of hospital disaster resilience: a systematic review

BACKGROUND: Hospitals play a vital role in disaster stricken regions. The resilient hospitals will be able to provide essential services to affected people and it can mitigate the risk of injuries during and after disasters. This study aimed to obtain the indicators required for the evaluation of ho...

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Autores principales: Fallah-Aliabadi, Saeed, Ostadtaghizadeh, Abbas, Ardalan, Ali, Fatemi, Farin, Khazai, Bijan, Mirjalili, Mohammad Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988294/
https://www.ncbi.nlm.nih.gov/pubmed/31996213
http://dx.doi.org/10.1186/s12913-020-4915-2
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author Fallah-Aliabadi, Saeed
Ostadtaghizadeh, Abbas
Ardalan, Ali
Fatemi, Farin
Khazai, Bijan
Mirjalili, Mohammad Reza
author_facet Fallah-Aliabadi, Saeed
Ostadtaghizadeh, Abbas
Ardalan, Ali
Fatemi, Farin
Khazai, Bijan
Mirjalili, Mohammad Reza
author_sort Fallah-Aliabadi, Saeed
collection PubMed
description BACKGROUND: Hospitals play a vital role in disaster stricken regions. The resilient hospitals will be able to provide essential services to affected people and it can mitigate the risk of injuries during and after disasters. This study aimed to obtain the indicators required for the evaluation of hospital resilience. METHODS: This systematic review was conducted in 2018. Through this systematic review, international electronic databases were investigated for the research studies published in English. The exclusion and inclusion criteria were determined to extract the hospital resilience indicators. These indicators will be used in order to develop a model to keep the system performance at an acceptable level during disasters. RESULTS: Out of 1794 research studies published until September 2018, 89 articles and guidelines with full text were surveyed. Thirty-two articles and guidelines were then selected and analyzed to collect the indicators related to hospital disaster resilience (HDR). The domains and the indicators were extracted from these selected research studies. The authors collected and categorized them into three domains and twenty seven subdomains. The three domains included constructive, infrastructural, and administrative resilience. The relevant indicators were designed for each subdomain to assess HDR. CONCLUSION: Since diverse indicators affect hospital resilience, other studies should be conducted to propose some models or tools to quantify the hospital resilience in different countries and scopes with an all hazards approach.
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spelling pubmed-69882942020-01-31 Towards developing a model for the evaluation of hospital disaster resilience: a systematic review Fallah-Aliabadi, Saeed Ostadtaghizadeh, Abbas Ardalan, Ali Fatemi, Farin Khazai, Bijan Mirjalili, Mohammad Reza BMC Health Serv Res Research Article BACKGROUND: Hospitals play a vital role in disaster stricken regions. The resilient hospitals will be able to provide essential services to affected people and it can mitigate the risk of injuries during and after disasters. This study aimed to obtain the indicators required for the evaluation of hospital resilience. METHODS: This systematic review was conducted in 2018. Through this systematic review, international electronic databases were investigated for the research studies published in English. The exclusion and inclusion criteria were determined to extract the hospital resilience indicators. These indicators will be used in order to develop a model to keep the system performance at an acceptable level during disasters. RESULTS: Out of 1794 research studies published until September 2018, 89 articles and guidelines with full text were surveyed. Thirty-two articles and guidelines were then selected and analyzed to collect the indicators related to hospital disaster resilience (HDR). The domains and the indicators were extracted from these selected research studies. The authors collected and categorized them into three domains and twenty seven subdomains. The three domains included constructive, infrastructural, and administrative resilience. The relevant indicators were designed for each subdomain to assess HDR. CONCLUSION: Since diverse indicators affect hospital resilience, other studies should be conducted to propose some models or tools to quantify the hospital resilience in different countries and scopes with an all hazards approach. BioMed Central 2020-01-29 /pmc/articles/PMC6988294/ /pubmed/31996213 http://dx.doi.org/10.1186/s12913-020-4915-2 Text en © The Author(s). 2020 Open Access This 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 Research Article
Fallah-Aliabadi, Saeed
Ostadtaghizadeh, Abbas
Ardalan, Ali
Fatemi, Farin
Khazai, Bijan
Mirjalili, Mohammad Reza
Towards developing a model for the evaluation of hospital disaster resilience: a systematic review
title Towards developing a model for the evaluation of hospital disaster resilience: a systematic review
title_full Towards developing a model for the evaluation of hospital disaster resilience: a systematic review
title_fullStr Towards developing a model for the evaluation of hospital disaster resilience: a systematic review
title_full_unstemmed Towards developing a model for the evaluation of hospital disaster resilience: a systematic review
title_short Towards developing a model for the evaluation of hospital disaster resilience: a systematic review
title_sort towards developing a model for the evaluation of hospital disaster resilience: a systematic review
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6988294/
https://www.ncbi.nlm.nih.gov/pubmed/31996213
http://dx.doi.org/10.1186/s12913-020-4915-2
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