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健康系统对婴儿、儿童和孕产妇死亡率的决定因素:对联合国会员国的横断面研究。

Health system determinants of infant, child and maternal mortality: A cross-sectional study of UN member countries.

机构信息

British Columbia Centre for Excellence in HIV/AIDS, St, Paul's Hospital, 1081 Burrard Street, Vancouver, British Columbia, Canada.

出版信息

Global Health. 2011 Oct 24;7:42. doi: 10.1186/1744-8603-7-42.

DOI:10.1186/1744-8603-7-42
PMID:22023970
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3247841/
Abstract

OBJECTIVE

Few studies have examined the link between health system strength and important public health outcomes across nations. We examined the association between health system indicators and mortality rates.

METHODS

We used mixed effects linear regression models to investigate the strength of association between outcome and explanatory variables, while accounting for geographic clustering of countries. We modelled infant mortality rate (IMR), child mortality rate (CMR), and maternal mortality rate (MMR) using 13 explanatory variables as outlined by the World Health Organization.

RESULTS

Significant protective health system determinants related to IMR included higher physician density (adjusted rate ratio [aRR] 0.81; 95% Confidence Interval [CI] 0.71-0.91), higher sustainable access to water and sanitation (aRR 0.85; 95% CI 0.78-0.93), and having a less corrupt government (aRR 0.57; 95% CI 0.40-0.80). Out-of-pocket expenditures on health (aRR 1.29; 95% CI 1.03-1.62) were a risk factor. The same four variables were significantly related to CMR after controlling for other variables. Protective determinants of MMR included access to water and sanitation (aRR 0.88; 95% CI 0.82-0.94), having a less corrupt government (aRR 0.49; 95%; CI 0.36-0.66), and higher total expenditures on health per capita (aRR 0.84; 95% CI 0.77-0.92). Higher fertility rates (aRR 2.85; 95% CI: 2.02-4.00) were found to be a significant risk factor for MMR.

CONCLUSION

Several key measures of a health system predict mortality in infants, children, and maternal mortality rates at the national level. Improving access to water and sanitation and reducing corruption within the health sector should become priorities.

摘要

目的

鲜有研究探讨各国间卫生系统实力与重要公共卫生结局之间的关联。本研究旨在检验卫生系统指标与死亡率之间的相关性。

方法

我们采用混合效应线性回归模型,在考虑国家地理聚集性的同时,研究结局与解释变量之间的关联强度。我们使用世界卫生组织(WHO)概述的 13 项解释变量来构建婴儿死亡率(IMR)、儿童死亡率(CMR)和孕产妇死亡率(MMR)模型。

结果

与 IMR 显著相关的保护性卫生系统决定因素包括较高的医生密度(校正后比值比[aRR]0.81;95%置信区间[CI]0.71-0.91)、可持续获得水和卫生设施的机会较高(aRR 0.85;95% CI 0.78-0.93)以及政府腐败程度较低(aRR 0.57;95% CI 0.40-0.80)。卫生保健自付支出(aRR 1.29;95% CI 1.03-1.62)是一个风险因素。在控制了其他变量后,这四个变量与 CMR 也显著相关。MMR 的保护性决定因素包括获得水和卫生设施(aRR 0.88;95% CI 0.82-0.94)、政府腐败程度较低(aRR 0.49;95% CI 0.36-0.66)以及人均卫生保健总支出较高(aRR 0.84;95% CI 0.77-0.92)。较高的生育率(aRR 2.85;95% CI:2.02-4.00)被发现是 MMR 的一个显著风险因素。

结论

卫生系统的几个关键指标可预测婴儿、儿童和孕产妇死亡率。提高获得水和卫生设施的机会和减少卫生部门的腐败应成为优先事项。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d62/3247841/48dde2e1442b/1744-8603-7-42-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d62/3247841/e374a960c9bf/1744-8603-7-42-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d62/3247841/e7f9f32e66e8/1744-8603-7-42-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d62/3247841/c1410d6f8bc7/1744-8603-7-42-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d62/3247841/48dde2e1442b/1744-8603-7-42-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d62/3247841/e374a960c9bf/1744-8603-7-42-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d62/3247841/e7f9f32e66e8/1744-8603-7-42-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d62/3247841/c1410d6f8bc7/1744-8603-7-42-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9d62/3247841/48dde2e1442b/1744-8603-7-42-4.jpg

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