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Unequal distribution of health human resource in mainland China: what are the determinants from a comprehensive perspective?

BACKGROUND: The inequality of health human resource is a worldwide problem, and solving it also is one of the major goals of China’s recent health system reform. Yet there is a huge disparity among cities in mainland China. The aim of this study is to analyze the distribution inequality of the healt...

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Autores principales: Li, Dan, Zhou, Zhongliang, Si, Yafei, Xu, Yongjian, Shen, Chi, Wang, Yiyang, Wang, Xiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830142/
https://www.ncbi.nlm.nih.gov/pubmed/29486791
http://dx.doi.org/10.1186/s12939-018-0742-z
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author Li, Dan
Zhou, Zhongliang
Si, Yafei
Xu, Yongjian
Shen, Chi
Wang, Yiyang
Wang, Xiao
author_facet Li, Dan
Zhou, Zhongliang
Si, Yafei
Xu, Yongjian
Shen, Chi
Wang, Yiyang
Wang, Xiao
author_sort Li, Dan
collection PubMed
description BACKGROUND: The inequality of health human resource is a worldwide problem, and solving it also is one of the major goals of China’s recent health system reform. Yet there is a huge disparity among cities in mainland China. The aim of this study is to analyze the distribution inequality of the health human resource in 322 prefecture-level cities of mainland China in 2014, and to reveal the facets and causes of the inequalities. METHODS: The data for this study were acquired from the provincial and municipal Health Statistics Yearbook (2014) and Statistical Yearbook (2014), the municipal National Economic Bulletin (2014), and the official websites of municipal governments, involving 322 prefecture-level cities. Meanwhile, Concentration Index was used to measure the magnitude of the unequal distribution of health human resource. A decomposition analysis was employed to quantify the contribution of each determinant to the total inequality. RESULTS: The overall concentration index of doctors and nurses in mainland China in 2014 was 0.1038 (95% CI = 0.0208, 0.1865) and 0.0785 (95% CI =0.0018, 0.1561). Decomposition of the concentration index revealed that economic status was the primary contributor (58.5% and 57%) to the inequality of doctors and nurses, followed by the Southwest China (19.1% and 18.6%), urbanization level (− 13.1% and − 12.8%), and revenue (8.0% and 7.8%). Party secretaries with Master degree (7.0%, 6.8%), mayors who were 60 years old or above (6.3%, 6.1%) also were proved to be a major contributor to the inequality of health human resource. CONCLUSIONS: There was inequality of health human resource distribution which was pro-rich in mainland China in 2014. Economic status of the cities accounted for most of the existing inequality, followed by the Southwest China, urbanization level, revenue, party secretaries with Master degree, and mayors who were 60 years old or above in respective importance. Besides, the party secretaries and mayors also had certain influence on the allocation of health human resource. The tough issue of HHR inequality should be addressed by comprehensive measures from a multidisciplinary perspective.
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spelling pubmed-58301422018-03-05 Unequal distribution of health human resource in mainland China: what are the determinants from a comprehensive perspective? Li, Dan Zhou, Zhongliang Si, Yafei Xu, Yongjian Shen, Chi Wang, Yiyang Wang, Xiao Int J Equity Health Research BACKGROUND: The inequality of health human resource is a worldwide problem, and solving it also is one of the major goals of China’s recent health system reform. Yet there is a huge disparity among cities in mainland China. The aim of this study is to analyze the distribution inequality of the health human resource in 322 prefecture-level cities of mainland China in 2014, and to reveal the facets and causes of the inequalities. METHODS: The data for this study were acquired from the provincial and municipal Health Statistics Yearbook (2014) and Statistical Yearbook (2014), the municipal National Economic Bulletin (2014), and the official websites of municipal governments, involving 322 prefecture-level cities. Meanwhile, Concentration Index was used to measure the magnitude of the unequal distribution of health human resource. A decomposition analysis was employed to quantify the contribution of each determinant to the total inequality. RESULTS: The overall concentration index of doctors and nurses in mainland China in 2014 was 0.1038 (95% CI = 0.0208, 0.1865) and 0.0785 (95% CI =0.0018, 0.1561). Decomposition of the concentration index revealed that economic status was the primary contributor (58.5% and 57%) to the inequality of doctors and nurses, followed by the Southwest China (19.1% and 18.6%), urbanization level (− 13.1% and − 12.8%), and revenue (8.0% and 7.8%). Party secretaries with Master degree (7.0%, 6.8%), mayors who were 60 years old or above (6.3%, 6.1%) also were proved to be a major contributor to the inequality of health human resource. CONCLUSIONS: There was inequality of health human resource distribution which was pro-rich in mainland China in 2014. Economic status of the cities accounted for most of the existing inequality, followed by the Southwest China, urbanization level, revenue, party secretaries with Master degree, and mayors who were 60 years old or above in respective importance. Besides, the party secretaries and mayors also had certain influence on the allocation of health human resource. The tough issue of HHR inequality should be addressed by comprehensive measures from a multidisciplinary perspective. BioMed Central 2018-02-27 /pmc/articles/PMC5830142/ /pubmed/29486791 http://dx.doi.org/10.1186/s12939-018-0742-z Text en © The Author(s). 2018 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 Research
Li, Dan
Zhou, Zhongliang
Si, Yafei
Xu, Yongjian
Shen, Chi
Wang, Yiyang
Wang, Xiao
Unequal distribution of health human resource in mainland China: what are the determinants from a comprehensive perspective?
title Unequal distribution of health human resource in mainland China: what are the determinants from a comprehensive perspective?
title_full Unequal distribution of health human resource in mainland China: what are the determinants from a comprehensive perspective?
title_fullStr Unequal distribution of health human resource in mainland China: what are the determinants from a comprehensive perspective?
title_full_unstemmed Unequal distribution of health human resource in mainland China: what are the determinants from a comprehensive perspective?
title_short Unequal distribution of health human resource in mainland China: what are the determinants from a comprehensive perspective?
title_sort unequal distribution of health human resource in mainland china: what are the determinants from a comprehensive perspective?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5830142/
https://www.ncbi.nlm.nih.gov/pubmed/29486791
http://dx.doi.org/10.1186/s12939-018-0742-z
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