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Anatomy of provincial level inequality in maternal mortality in China during 2004–2016: a new decomposition analysis
BACKGROUND: The maternal mortality ratio (MMR) is an important indicator of maternal health and socioeconomic development. Although China has experienced a large decline in MMR, substantial disparities across regions are still apparent. This study aims to explore causes of socioeconomic related ineq...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245773/ https://www.ncbi.nlm.nih.gov/pubmed/32448202 http://dx.doi.org/10.1186/s12889-020-08830-2 |
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author | Zhang, Xinyu Ye, Yingfeng Fu, Chaowei Dou, Guanshen Ying, Xiaohua Qian, Mengcen Tang, Shenglan |
author_facet | Zhang, Xinyu Ye, Yingfeng Fu, Chaowei Dou, Guanshen Ying, Xiaohua Qian, Mengcen Tang, Shenglan |
author_sort | Zhang, Xinyu |
collection | PubMed |
description | BACKGROUND: The maternal mortality ratio (MMR) is an important indicator of maternal health and socioeconomic development. Although China has experienced a large decline in MMR, substantial disparities across regions are still apparent. This study aims to explore causes of socioeconomic related inequality in MMR at the province-level in China from 2004 to 2016. METHODS: We collected data from various issues of the China Health Statistics Yearbook, China Statistics Yearbook, and China Population and Employment Statistics Yearbook to construct a longitudinal sample of all provinces in China. We first examined determinants of the MMR using province fixed-effect models, accounted for socioeconomic condition, health resource allocation, and access to health care. We then used the concentration index (CI) to measure MMR inequality and employed the direct decomposition method to estimate the marginal impact of the determinants on the inequality index. Importance of the determinants were compared based on logworth values. RESULTS: During our study period, economically more deprived provinces experienced higher MMR than better-off ones. There was no evidence of improved socioeconomic related inequality in MMR. Illiteracy proportion was positively associated with the MMR (p < 0.01). In contrast, prenatal check-up rate (p = 0.05), hospital delivery rate (p < 0.01) and rate of delivery attended by professionals (p = 0.02) were negatively associated with the MMR. We also find that higher maternal health profile creation rate (p < 0.01) was associated with a pro-poor change of MMR inequality. CONCLUSION: Access to healthcare was the most important factor in explaining the persistent MMR inequality in China, followed by socioeconomic condition. We do not find evidence that health resource allocation was a contributing factor. |
format | Online Article Text |
id | pubmed-7245773 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72457732020-06-01 Anatomy of provincial level inequality in maternal mortality in China during 2004–2016: a new decomposition analysis Zhang, Xinyu Ye, Yingfeng Fu, Chaowei Dou, Guanshen Ying, Xiaohua Qian, Mengcen Tang, Shenglan BMC Public Health Research Article BACKGROUND: The maternal mortality ratio (MMR) is an important indicator of maternal health and socioeconomic development. Although China has experienced a large decline in MMR, substantial disparities across regions are still apparent. This study aims to explore causes of socioeconomic related inequality in MMR at the province-level in China from 2004 to 2016. METHODS: We collected data from various issues of the China Health Statistics Yearbook, China Statistics Yearbook, and China Population and Employment Statistics Yearbook to construct a longitudinal sample of all provinces in China. We first examined determinants of the MMR using province fixed-effect models, accounted for socioeconomic condition, health resource allocation, and access to health care. We then used the concentration index (CI) to measure MMR inequality and employed the direct decomposition method to estimate the marginal impact of the determinants on the inequality index. Importance of the determinants were compared based on logworth values. RESULTS: During our study period, economically more deprived provinces experienced higher MMR than better-off ones. There was no evidence of improved socioeconomic related inequality in MMR. Illiteracy proportion was positively associated with the MMR (p < 0.01). In contrast, prenatal check-up rate (p = 0.05), hospital delivery rate (p < 0.01) and rate of delivery attended by professionals (p = 0.02) were negatively associated with the MMR. We also find that higher maternal health profile creation rate (p < 0.01) was associated with a pro-poor change of MMR inequality. CONCLUSION: Access to healthcare was the most important factor in explaining the persistent MMR inequality in China, followed by socioeconomic condition. We do not find evidence that health resource allocation was a contributing factor. BioMed Central 2020-05-24 /pmc/articles/PMC7245773/ /pubmed/32448202 http://dx.doi.org/10.1186/s12889-020-08830-2 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article Zhang, Xinyu Ye, Yingfeng Fu, Chaowei Dou, Guanshen Ying, Xiaohua Qian, Mengcen Tang, Shenglan Anatomy of provincial level inequality in maternal mortality in China during 2004–2016: a new decomposition analysis |
title | Anatomy of provincial level inequality in maternal mortality in China during 2004–2016: a new decomposition analysis |
title_full | Anatomy of provincial level inequality in maternal mortality in China during 2004–2016: a new decomposition analysis |
title_fullStr | Anatomy of provincial level inequality in maternal mortality in China during 2004–2016: a new decomposition analysis |
title_full_unstemmed | Anatomy of provincial level inequality in maternal mortality in China during 2004–2016: a new decomposition analysis |
title_short | Anatomy of provincial level inequality in maternal mortality in China during 2004–2016: a new decomposition analysis |
title_sort | anatomy of provincial level inequality in maternal mortality in china during 2004–2016: a new decomposition analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7245773/ https://www.ncbi.nlm.nih.gov/pubmed/32448202 http://dx.doi.org/10.1186/s12889-020-08830-2 |
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