Anatomy of provincial level inequality in maternal mortality in China during 2004-2016: a new decomposition analysis.
dc.contributor.author | Zhang, Xinyu | |
dc.contributor.author | Ye, Yingfeng | |
dc.contributor.author | Fu, Chaowei | |
dc.contributor.author | Dou, Guanshen | |
dc.contributor.author | Ying, Xiaohua | |
dc.contributor.author | Qian, Mengcen | |
dc.contributor.author | Tang, Shenglan | |
dc.date.accessioned | 2024-07-16T02:21:15Z | |
dc.date.available | 2024-07-16T02:21:15Z | |
dc.date.issued | 2020-05 | |
dc.description.abstract | BackgroundThe 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.MethodsWe 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.ResultsDuring 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.ConclusionAccess 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. | |
dc.identifier | 10.1186/s12889-020-08830-2 | |
dc.identifier.issn | 1471-2458 | |
dc.identifier.issn | 1471-2458 | |
dc.identifier.uri | ||
dc.language | eng | |
dc.publisher | Springer Science and Business Media LLC | |
dc.relation.ispartof | BMC public health | |
dc.relation.isversionof | 10.1186/s12889-020-08830-2 | |
dc.rights.uri | ||
dc.subject | Humans | |
dc.subject | Maternal Mortality | |
dc.subject | Pregnancy | |
dc.subject | Algorithms | |
dc.subject | Socioeconomic Factors | |
dc.subject | Databases, Factual | |
dc.subject | Health Resources | |
dc.subject | China | |
dc.subject | Female | |
dc.subject | Gross Domestic Product | |
dc.subject | Maternal Health | |
dc.title | Anatomy of provincial level inequality in maternal mortality in China during 2004-2016: a new decomposition analysis. | |
dc.type | Journal article | |
duke.contributor.orcid | Zhang, Xinyu|0000-0002-5979-244X | |
duke.contributor.orcid | Tang, Shenglan|0000-0001-6462-753X | |
pubs.begin-page | 758 | |
pubs.issue | 1 | |
pubs.organisational-group | Duke | |
pubs.organisational-group | School of Medicine | |
pubs.organisational-group | Basic Science Departments | |
pubs.organisational-group | University Institutes and Centers | |
pubs.organisational-group | Duke Global Health Institute | |
pubs.organisational-group | Population Health Sciences | |
pubs.publication-status | Published | |
pubs.volume | 20 |
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