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Health reform and mortality in China: Multilevel time-series analysis of regional and socioeconomic inequities in a sample of 73 million

China’s 2009 expansion of universal health insurance has received global interest, but little empirical investigation. This epidemiological study was a first attempt to assess potential impacts on population health and health equity. Multilevel negative binomial regression was used to analyse all-ca...

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Autores principales: Astell-Burt, Thomas, Liu, Yunning, Feng, Xiaoqi, Yin, Peng, Page, Andrew, Liu, Shiwei, Liu, Jiangmei, Wang, Lijun, Zhou, Maigeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4606797/
https://www.ncbi.nlm.nih.gov/pubmed/26469149
http://dx.doi.org/10.1038/srep15038
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author Astell-Burt, Thomas
Liu, Yunning
Feng, Xiaoqi
Yin, Peng
Page, Andrew
Liu, Shiwei
Liu, Jiangmei
Wang, Lijun
Zhou, Maigeng
author_facet Astell-Burt, Thomas
Liu, Yunning
Feng, Xiaoqi
Yin, Peng
Page, Andrew
Liu, Shiwei
Liu, Jiangmei
Wang, Lijun
Zhou, Maigeng
author_sort Astell-Burt, Thomas
collection PubMed
description China’s 2009 expansion of universal health insurance has received global interest, but little empirical investigation. This epidemiological study was a first attempt to assess potential impacts on population health and health equity. Multilevel negative binomial regression was used to analyse all-cause and non-communicable disease (NCD) mortality between 2006 and 2012 from a representative sample including all 31 provinces. The age-standardised ratios (per 100,000) in 2006 were 860.4 and 732.9 for mortality from all-causes and NCDs respectively. These ratios decreased over time to 737.5 (all-causes) and 642.9 (NCD) by 2012. Modelling indicated these trajectories were curvilinear, dipping more rapidly from 2009 onwards. Compared to the east, all-cause mortality was higher in other regions (e.g. northwest RR: 1.34, 95% CI: 1.20, 1.48). Compared to more affluent urban areas, rate ratios for all-cause mortality were 1.23 (95% CI: 0.97, 1.54) in the least affluent urban areas, 1.22 (95% CI: 1.02, 1.46) in affluent rural areas and 1.64 (95% CI: 1.51, 1.79) in the least affluent rural areas. These health inequities were largely repeated for NCD mortality and did not vary spatiotemporally. Overall, universal health insurance in China may have accelerated reductions in all-cause and NCD mortality, but potential impacts on health inequity may take longer to manifest.
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spelling pubmed-46067972015-10-28 Health reform and mortality in China: Multilevel time-series analysis of regional and socioeconomic inequities in a sample of 73 million Astell-Burt, Thomas Liu, Yunning Feng, Xiaoqi Yin, Peng Page, Andrew Liu, Shiwei Liu, Jiangmei Wang, Lijun Zhou, Maigeng Sci Rep Article China’s 2009 expansion of universal health insurance has received global interest, but little empirical investigation. This epidemiological study was a first attempt to assess potential impacts on population health and health equity. Multilevel negative binomial regression was used to analyse all-cause and non-communicable disease (NCD) mortality between 2006 and 2012 from a representative sample including all 31 provinces. The age-standardised ratios (per 100,000) in 2006 were 860.4 and 732.9 for mortality from all-causes and NCDs respectively. These ratios decreased over time to 737.5 (all-causes) and 642.9 (NCD) by 2012. Modelling indicated these trajectories were curvilinear, dipping more rapidly from 2009 onwards. Compared to the east, all-cause mortality was higher in other regions (e.g. northwest RR: 1.34, 95% CI: 1.20, 1.48). Compared to more affluent urban areas, rate ratios for all-cause mortality were 1.23 (95% CI: 0.97, 1.54) in the least affluent urban areas, 1.22 (95% CI: 1.02, 1.46) in affluent rural areas and 1.64 (95% CI: 1.51, 1.79) in the least affluent rural areas. These health inequities were largely repeated for NCD mortality and did not vary spatiotemporally. Overall, universal health insurance in China may have accelerated reductions in all-cause and NCD mortality, but potential impacts on health inequity may take longer to manifest. Nature Publishing Group 2015-10-15 /pmc/articles/PMC4606797/ /pubmed/26469149 http://dx.doi.org/10.1038/srep15038 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Astell-Burt, Thomas
Liu, Yunning
Feng, Xiaoqi
Yin, Peng
Page, Andrew
Liu, Shiwei
Liu, Jiangmei
Wang, Lijun
Zhou, Maigeng
Health reform and mortality in China: Multilevel time-series analysis of regional and socioeconomic inequities in a sample of 73 million
title Health reform and mortality in China: Multilevel time-series analysis of regional and socioeconomic inequities in a sample of 73 million
title_full Health reform and mortality in China: Multilevel time-series analysis of regional and socioeconomic inequities in a sample of 73 million
title_fullStr Health reform and mortality in China: Multilevel time-series analysis of regional and socioeconomic inequities in a sample of 73 million
title_full_unstemmed Health reform and mortality in China: Multilevel time-series analysis of regional and socioeconomic inequities in a sample of 73 million
title_short Health reform and mortality in China: Multilevel time-series analysis of regional and socioeconomic inequities in a sample of 73 million
title_sort health reform and mortality in china: multilevel time-series analysis of regional and socioeconomic inequities in a sample of 73 million
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4606797/
https://www.ncbi.nlm.nih.gov/pubmed/26469149
http://dx.doi.org/10.1038/srep15038
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