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Characteristics of Physician Outflow from Disaster Areas following the Great East Japan Earthquake

OBJECTIVE: The shortage of physicians after a major disaster is a crucial issue. We aimed to evaluate the characteristics of physicians who left affected areas following the accident at Fukushima Daiichi Nuclear Power Plant caused by the Great East Japan Earthquake on March 11, 2011. METHODS: Using...

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Autores principales: Kashima, Saori, Inoue, Kazuo, Matsumoto, Masatoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5207640/
https://www.ncbi.nlm.nih.gov/pubmed/28046089
http://dx.doi.org/10.1371/journal.pone.0169220
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author Kashima, Saori
Inoue, Kazuo
Matsumoto, Masatoshi
author_facet Kashima, Saori
Inoue, Kazuo
Matsumoto, Masatoshi
author_sort Kashima, Saori
collection PubMed
description OBJECTIVE: The shortage of physicians after a major disaster is a crucial issue. We aimed to evaluate the characteristics of physicians who left affected areas following the accident at Fukushima Daiichi Nuclear Power Plant caused by the Great East Japan Earthquake on March 11, 2011. METHODS: Using data from a physician census conducted in 2010 (pre-disaster) and 2012 (post-disaster), we evaluated changes in the number of physicians in affected areas. We then calculated the odds ratios and 95% confidence intervals using a logistic regression model to evaluate the association between physician characteristics and outflow. We also conducted stratified analyses based on physician characteristics. RESULTS: The number of physicians decreased in Fukushima Prefecture (–5.3%) and increased in Miyagi Prefecture (2.8%). The decrease in Fukushima and increase in Miyagi were evident even after taking the prefecture’s population change into account (change in physician to population ratios: –1.9% and 3.2%, respectively). Compared with physicians who lived in areas >100 km from the nuclear power plant, physicians living 20–50 km and 50–100 km were, respectively, 3.9 times (95% confidence interval, 2.6–5.7) and 2.6 times (95% confidence interval, 1.7–3.8) more likely to migrate to distant areas. In the stratified analysis, younger physicians and those earlier in their careers had higher odds ratios for outflow than other physicians (P for interaction = 0.02 and <0.01, respectively). CONCLUSIONS: The risk of outflow was greater among younger and early-career physicians in areas around the power plant. Political support may be necessary to recruit and retain such physicians, who will be responsible for future community health in the disaster area.
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spelling pubmed-52076402017-01-19 Characteristics of Physician Outflow from Disaster Areas following the Great East Japan Earthquake Kashima, Saori Inoue, Kazuo Matsumoto, Masatoshi PLoS One Research Article OBJECTIVE: The shortage of physicians after a major disaster is a crucial issue. We aimed to evaluate the characteristics of physicians who left affected areas following the accident at Fukushima Daiichi Nuclear Power Plant caused by the Great East Japan Earthquake on March 11, 2011. METHODS: Using data from a physician census conducted in 2010 (pre-disaster) and 2012 (post-disaster), we evaluated changes in the number of physicians in affected areas. We then calculated the odds ratios and 95% confidence intervals using a logistic regression model to evaluate the association between physician characteristics and outflow. We also conducted stratified analyses based on physician characteristics. RESULTS: The number of physicians decreased in Fukushima Prefecture (–5.3%) and increased in Miyagi Prefecture (2.8%). The decrease in Fukushima and increase in Miyagi were evident even after taking the prefecture’s population change into account (change in physician to population ratios: –1.9% and 3.2%, respectively). Compared with physicians who lived in areas >100 km from the nuclear power plant, physicians living 20–50 km and 50–100 km were, respectively, 3.9 times (95% confidence interval, 2.6–5.7) and 2.6 times (95% confidence interval, 1.7–3.8) more likely to migrate to distant areas. In the stratified analysis, younger physicians and those earlier in their careers had higher odds ratios for outflow than other physicians (P for interaction = 0.02 and <0.01, respectively). CONCLUSIONS: The risk of outflow was greater among younger and early-career physicians in areas around the power plant. Political support may be necessary to recruit and retain such physicians, who will be responsible for future community health in the disaster area. Public Library of Science 2017-01-03 /pmc/articles/PMC5207640/ /pubmed/28046089 http://dx.doi.org/10.1371/journal.pone.0169220 Text en © 2017 Kashima et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Kashima, Saori
Inoue, Kazuo
Matsumoto, Masatoshi
Characteristics of Physician Outflow from Disaster Areas following the Great East Japan Earthquake
title Characteristics of Physician Outflow from Disaster Areas following the Great East Japan Earthquake
title_full Characteristics of Physician Outflow from Disaster Areas following the Great East Japan Earthquake
title_fullStr Characteristics of Physician Outflow from Disaster Areas following the Great East Japan Earthquake
title_full_unstemmed Characteristics of Physician Outflow from Disaster Areas following the Great East Japan Earthquake
title_short Characteristics of Physician Outflow from Disaster Areas following the Great East Japan Earthquake
title_sort characteristics of physician outflow from disaster areas following the great east japan earthquake
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5207640/
https://www.ncbi.nlm.nih.gov/pubmed/28046089
http://dx.doi.org/10.1371/journal.pone.0169220
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