Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Department of Global Health, School of Public Health, Peking University, Beijing, China.
Infect Dis Poverty. 2018 Dec 19;7(1):128. doi: 10.1186/s40249-018-0510-8.
Despite the increasing interest in China's development assistance for health (DAH) in African countries, little is known regarding the distribution and determinants of China's DAH project allocation among the principle subdivisions (provinces & states) within African countries.
We mapped the distribution of China's DAH projects in 670 principle subdivisions of 50 African countries during 2006-2015 using web-based information. The political, demographic, health and socioeconomic indicators of DAH allocation were analyzed using conditional logistic regression models. The national capital city and political leader's birth place were selected as the main political indicators, and health indicators were selected according to different fields of the DAH projects.
China's DAH projects (mainly China medical teams [CMTs], hospitals and anti-malaria centers) were mostly allocated to the western and eastern coasts of Africa, although CMTs were also dispatched to northern Africa. National capital cities were significantly associated with the allocation of China's DAH projects (P < 0.001). Anti-malaria centers were more likely to be allocated to principle subdivisions with larger populations (OR = 1.35), and CMTs were allocated to subdivisions with high population densities (OR = 79.01). No health-related indicators were identified to affect project allocation except for the facility delivery rate and under-five mortality rate, which were associated with hospital allocation. We also found an association between CMT allocation and the use of artemisinin-based combination therapy in children.
Allocation of China's DAH projects is strongly affected by political and demographic factors. Implementation of China's new DAH projects should target health and socio-economic indicators and impact metrics in scaling up tailored and cost-effective programs in Africa.
尽管人们对中国在非洲国家的卫生发展援助(DAH)越来越感兴趣,但对于中国 DAH 项目在非洲国家主要细分地区(省/州)之间的分配及其决定因素却知之甚少。
我们利用网络信息,绘制了 2006-2015 年期间中国在 50 个非洲国家的 670 个主要细分地区的 DAH 项目分布情况。利用条件逻辑回归模型分析 DAH 分配的政治、人口、卫生和社会经济指标。国家首都和政治领导人的出生地被选为主要政治指标,而卫生指标则根据 DAH 项目的不同领域进行选择。
中国的 DAH 项目(主要是中国医疗队[CMTs]、医院和抗疟中心)主要分配到非洲的西部和东部沿海地区,尽管 CMTs 也被派遣到北非。国家首都与中国 DAH 项目的分配显著相关(P<0.001)。抗疟中心更有可能分配到人口较多的主要细分地区(OR=1.35),而 CMTs 则分配到人口密度较高的细分地区(OR=79.01)。除了设施分娩率和五岁以下儿童死亡率与医院分配有关外,没有发现其他与项目分配有关的卫生相关指标。我们还发现,CMT 的分配与儿童中使用青蒿素联合疗法之间存在关联。
中国 DAH 项目的分配受到政治和人口因素的强烈影响。中国新的 DAH 项目的实施应针对健康和社会经济指标以及影响指标,以扩大在非洲量身定制和具有成本效益的项目。