Cargando…

Impact of lifting the mandatory evacuation order after the Fukushima Daiichi Nuclear Power Plant accident on the emergency medical system: a retrospective observational study at Minamisoma City with machine learning analysis

OBJECTIVES: This study aimed to identify factors that delayed emergency medical services (EMS) in evacuation order zones after the 2011 Great East Japan Earthquake and Fukushima Daiichi Nuclear Power Plant accident and to investigate how the lifting of the evacuation affected these factors over time...

Descripción completa

Detalles Bibliográficos
Autores principales: Yoshimura, Hiroki, Yamamoto, Chika, Sawano, Toyoaki, Nishikawa, Yoshitaka, Saito, Hiroaki, Nonaka, Saori, Zhao, Tianchen, Ito, Naomi, Tashiro, Satoshi, Ozaki, Akihiko, Oikawa, Tomoyoshi, Tsubokura, Masaharu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10083807/
https://www.ncbi.nlm.nih.gov/pubmed/37015790
http://dx.doi.org/10.1136/bmjopen-2022-067536
_version_ 1785021601596571648
author Yoshimura, Hiroki
Yamamoto, Chika
Sawano, Toyoaki
Nishikawa, Yoshitaka
Saito, Hiroaki
Nonaka, Saori
Zhao, Tianchen
Ito, Naomi
Tashiro, Satoshi
Ozaki, Akihiko
Oikawa, Tomoyoshi
Tsubokura, Masaharu
author_facet Yoshimura, Hiroki
Yamamoto, Chika
Sawano, Toyoaki
Nishikawa, Yoshitaka
Saito, Hiroaki
Nonaka, Saori
Zhao, Tianchen
Ito, Naomi
Tashiro, Satoshi
Ozaki, Akihiko
Oikawa, Tomoyoshi
Tsubokura, Masaharu
author_sort Yoshimura, Hiroki
collection PubMed
description OBJECTIVES: This study aimed to identify factors that delayed emergency medical services (EMS) in evacuation order zones after the 2011 Great East Japan Earthquake and Fukushima Daiichi Nuclear Power Plant accident and to investigate how the lifting of the evacuation affected these factors over time. DESIGN: This research was a retrospective observational study. The primary outcome measure was onsite EMS time. A gradient boosting model and a decision tree were used to find the boundary values for factors that reduce EMS. SETTING: The target area was Minamisoma City, Fukushima, Japan that was partly designated as an evacuation order zone after the 2011 Fukushima disaster, which was lifted due to decreased radiation. PARTICIPANTS: This study included patients transferred by EMS from 1 January 2013 through 31 October 2018. Patients who were not transported and those transported for community events, interhospital patient transfer and natural disasters were excluded. OUTCOME MEASURES: This study evaluated the total EMS time using on-site time which is the time from arrival at the scene to departure to the destination, and other independent factors. RESULTS: The total number of transports was 12 043. The decision tree revealed that the major factors that prolonged onsite time were time of day and latitude, except for differences by year. While latitude was a major factor in extending on-site time until 2016, the effect of latitude decreased and that of time of day became more significant since 2017. The boundary was located at N37.695° latitude. CONCLUSIONS: The onsite time delay in EMS in evacuation order zones is largely due to regional factors from north to south and the time of day. However, the north-south regional factor decreased with the lifting of evacuation orders.
format Online
Article
Text
id pubmed-10083807
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BMJ Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-100838072023-04-11 Impact of lifting the mandatory evacuation order after the Fukushima Daiichi Nuclear Power Plant accident on the emergency medical system: a retrospective observational study at Minamisoma City with machine learning analysis Yoshimura, Hiroki Yamamoto, Chika Sawano, Toyoaki Nishikawa, Yoshitaka Saito, Hiroaki Nonaka, Saori Zhao, Tianchen Ito, Naomi Tashiro, Satoshi Ozaki, Akihiko Oikawa, Tomoyoshi Tsubokura, Masaharu BMJ Open Public Health OBJECTIVES: This study aimed to identify factors that delayed emergency medical services (EMS) in evacuation order zones after the 2011 Great East Japan Earthquake and Fukushima Daiichi Nuclear Power Plant accident and to investigate how the lifting of the evacuation affected these factors over time. DESIGN: This research was a retrospective observational study. The primary outcome measure was onsite EMS time. A gradient boosting model and a decision tree were used to find the boundary values for factors that reduce EMS. SETTING: The target area was Minamisoma City, Fukushima, Japan that was partly designated as an evacuation order zone after the 2011 Fukushima disaster, which was lifted due to decreased radiation. PARTICIPANTS: This study included patients transferred by EMS from 1 January 2013 through 31 October 2018. Patients who were not transported and those transported for community events, interhospital patient transfer and natural disasters were excluded. OUTCOME MEASURES: This study evaluated the total EMS time using on-site time which is the time from arrival at the scene to departure to the destination, and other independent factors. RESULTS: The total number of transports was 12 043. The decision tree revealed that the major factors that prolonged onsite time were time of day and latitude, except for differences by year. While latitude was a major factor in extending on-site time until 2016, the effect of latitude decreased and that of time of day became more significant since 2017. The boundary was located at N37.695° latitude. CONCLUSIONS: The onsite time delay in EMS in evacuation order zones is largely due to regional factors from north to south and the time of day. However, the north-south regional factor decreased with the lifting of evacuation orders. BMJ Publishing Group 2023-04-04 /pmc/articles/PMC10083807/ /pubmed/37015790 http://dx.doi.org/10.1136/bmjopen-2022-067536 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Public Health
Yoshimura, Hiroki
Yamamoto, Chika
Sawano, Toyoaki
Nishikawa, Yoshitaka
Saito, Hiroaki
Nonaka, Saori
Zhao, Tianchen
Ito, Naomi
Tashiro, Satoshi
Ozaki, Akihiko
Oikawa, Tomoyoshi
Tsubokura, Masaharu
Impact of lifting the mandatory evacuation order after the Fukushima Daiichi Nuclear Power Plant accident on the emergency medical system: a retrospective observational study at Minamisoma City with machine learning analysis
title Impact of lifting the mandatory evacuation order after the Fukushima Daiichi Nuclear Power Plant accident on the emergency medical system: a retrospective observational study at Minamisoma City with machine learning analysis
title_full Impact of lifting the mandatory evacuation order after the Fukushima Daiichi Nuclear Power Plant accident on the emergency medical system: a retrospective observational study at Minamisoma City with machine learning analysis
title_fullStr Impact of lifting the mandatory evacuation order after the Fukushima Daiichi Nuclear Power Plant accident on the emergency medical system: a retrospective observational study at Minamisoma City with machine learning analysis
title_full_unstemmed Impact of lifting the mandatory evacuation order after the Fukushima Daiichi Nuclear Power Plant accident on the emergency medical system: a retrospective observational study at Minamisoma City with machine learning analysis
title_short Impact of lifting the mandatory evacuation order after the Fukushima Daiichi Nuclear Power Plant accident on the emergency medical system: a retrospective observational study at Minamisoma City with machine learning analysis
title_sort impact of lifting the mandatory evacuation order after the fukushima daiichi nuclear power plant accident on the emergency medical system: a retrospective observational study at minamisoma city with machine learning analysis
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10083807/
https://www.ncbi.nlm.nih.gov/pubmed/37015790
http://dx.doi.org/10.1136/bmjopen-2022-067536
work_keys_str_mv AT yoshimurahiroki impactofliftingthemandatoryevacuationorderafterthefukushimadaiichinuclearpowerplantaccidentontheemergencymedicalsystemaretrospectiveobservationalstudyatminamisomacitywithmachinelearninganalysis
AT yamamotochika impactofliftingthemandatoryevacuationorderafterthefukushimadaiichinuclearpowerplantaccidentontheemergencymedicalsystemaretrospectiveobservationalstudyatminamisomacitywithmachinelearninganalysis
AT sawanotoyoaki impactofliftingthemandatoryevacuationorderafterthefukushimadaiichinuclearpowerplantaccidentontheemergencymedicalsystemaretrospectiveobservationalstudyatminamisomacitywithmachinelearninganalysis
AT nishikawayoshitaka impactofliftingthemandatoryevacuationorderafterthefukushimadaiichinuclearpowerplantaccidentontheemergencymedicalsystemaretrospectiveobservationalstudyatminamisomacitywithmachinelearninganalysis
AT saitohiroaki impactofliftingthemandatoryevacuationorderafterthefukushimadaiichinuclearpowerplantaccidentontheemergencymedicalsystemaretrospectiveobservationalstudyatminamisomacitywithmachinelearninganalysis
AT nonakasaori impactofliftingthemandatoryevacuationorderafterthefukushimadaiichinuclearpowerplantaccidentontheemergencymedicalsystemaretrospectiveobservationalstudyatminamisomacitywithmachinelearninganalysis
AT zhaotianchen impactofliftingthemandatoryevacuationorderafterthefukushimadaiichinuclearpowerplantaccidentontheemergencymedicalsystemaretrospectiveobservationalstudyatminamisomacitywithmachinelearninganalysis
AT itonaomi impactofliftingthemandatoryevacuationorderafterthefukushimadaiichinuclearpowerplantaccidentontheemergencymedicalsystemaretrospectiveobservationalstudyatminamisomacitywithmachinelearninganalysis
AT tashirosatoshi impactofliftingthemandatoryevacuationorderafterthefukushimadaiichinuclearpowerplantaccidentontheemergencymedicalsystemaretrospectiveobservationalstudyatminamisomacitywithmachinelearninganalysis
AT ozakiakihiko impactofliftingthemandatoryevacuationorderafterthefukushimadaiichinuclearpowerplantaccidentontheemergencymedicalsystemaretrospectiveobservationalstudyatminamisomacitywithmachinelearninganalysis
AT oikawatomoyoshi impactofliftingthemandatoryevacuationorderafterthefukushimadaiichinuclearpowerplantaccidentontheemergencymedicalsystemaretrospectiveobservationalstudyatminamisomacitywithmachinelearninganalysis
AT tsubokuramasaharu impactofliftingthemandatoryevacuationorderafterthefukushimadaiichinuclearpowerplantaccidentontheemergencymedicalsystemaretrospectiveobservationalstudyatminamisomacitywithmachinelearninganalysis