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Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model
OBJECTIVES: Emergency medical system for mass casualty incidents (EMS-MCIs) is a global issue. However, China lacks such studies extremely, which cannot meet the requirement of rapid decision-support system. This study aims to realize modeling EMS-MCIs in Shanghai, to improve mass casualty incident...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798575/ https://www.ncbi.nlm.nih.gov/pubmed/29440876 http://dx.doi.org/10.2147/PPA.S155603 |
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author | Yu, Wenya Lv, Yipeng Hu, Chaoqun Liu, Xu Chen, Haiping Xue, Chen Zhang, Lulu |
author_facet | Yu, Wenya Lv, Yipeng Hu, Chaoqun Liu, Xu Chen, Haiping Xue, Chen Zhang, Lulu |
author_sort | Yu, Wenya |
collection | PubMed |
description | OBJECTIVES: Emergency medical system for mass casualty incidents (EMS-MCIs) is a global issue. However, China lacks such studies extremely, which cannot meet the requirement of rapid decision-support system. This study aims to realize modeling EMS-MCIs in Shanghai, to improve mass casualty incident (MCI) rescue efficiency in China, and to provide a possible method of making rapid rescue decisions during MCIs. METHODS: This study established a system dynamics (SD) model of EMS-MCIs using the Vensim DSS program. Intervention scenarios were designed as adjusting scales of MCIs, allocation of ambulances, allocation of emergency medical staff, and efficiency of organization and command. RESULTS: Mortality increased with the increasing scale of MCIs, medical rescue capability of hospitals was relatively good, but the efficiency of organization and command was poor, and the prehospital time was too long. Mortality declined significantly when increasing ambulances and improving the efficiency of organization and command; triage and on-site first-aid time were shortened if increasing the availability of emergency medical staff. The effect was the most evident when 2,000 people were involved in MCIs; however, the influence was very small under the scale of 5,000 people. CONCLUSION: The keys to decrease the mortality of MCIs were shortening the prehospital time and improving the efficiency of organization and command. For small-scale MCIs, improving the utilization rate of health resources was important in decreasing the mortality. For large-scale MCIs, increasing the number of ambulances and emergency medical professionals was the core to decrease prehospital time and mortality. For super-large-scale MCIs, increasing health resources was the premise. |
format | Online Article Text |
id | pubmed-5798575 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57985752018-02-13 Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model Yu, Wenya Lv, Yipeng Hu, Chaoqun Liu, Xu Chen, Haiping Xue, Chen Zhang, Lulu Patient Prefer Adherence Original Research OBJECTIVES: Emergency medical system for mass casualty incidents (EMS-MCIs) is a global issue. However, China lacks such studies extremely, which cannot meet the requirement of rapid decision-support system. This study aims to realize modeling EMS-MCIs in Shanghai, to improve mass casualty incident (MCI) rescue efficiency in China, and to provide a possible method of making rapid rescue decisions during MCIs. METHODS: This study established a system dynamics (SD) model of EMS-MCIs using the Vensim DSS program. Intervention scenarios were designed as adjusting scales of MCIs, allocation of ambulances, allocation of emergency medical staff, and efficiency of organization and command. RESULTS: Mortality increased with the increasing scale of MCIs, medical rescue capability of hospitals was relatively good, but the efficiency of organization and command was poor, and the prehospital time was too long. Mortality declined significantly when increasing ambulances and improving the efficiency of organization and command; triage and on-site first-aid time were shortened if increasing the availability of emergency medical staff. The effect was the most evident when 2,000 people were involved in MCIs; however, the influence was very small under the scale of 5,000 people. CONCLUSION: The keys to decrease the mortality of MCIs were shortening the prehospital time and improving the efficiency of organization and command. For small-scale MCIs, improving the utilization rate of health resources was important in decreasing the mortality. For large-scale MCIs, increasing the number of ambulances and emergency medical professionals was the core to decrease prehospital time and mortality. For super-large-scale MCIs, increasing health resources was the premise. Dove Medical Press 2018-01-31 /pmc/articles/PMC5798575/ /pubmed/29440876 http://dx.doi.org/10.2147/PPA.S155603 Text en © 2018 Yu et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Original Research Yu, Wenya Lv, Yipeng Hu, Chaoqun Liu, Xu Chen, Haiping Xue, Chen Zhang, Lulu Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model |
title | Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model |
title_full | Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model |
title_fullStr | Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model |
title_full_unstemmed | Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model |
title_short | Research of an emergency medical system for mass casualty incidents in Shanghai, China: a system dynamics model |
title_sort | research of an emergency medical system for mass casualty incidents in shanghai, china: a system dynamics model |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5798575/ https://www.ncbi.nlm.nih.gov/pubmed/29440876 http://dx.doi.org/10.2147/PPA.S155603 |
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