Nuhu Kaamel M, McDaniel Justin T, Alorbi Genevieve A, Ruiz Juan I
International Center for Community Health Promotion and Education, 1606 N. Truman St., Robinson, IL 612454, USA.
Department of Public Health and Recreation Professions, Southern Illinois University, Carbondale, IL, USA.
Int Health. 2018 Jan 1;10(1):33-39. doi: 10.1093/inthealth/ihx053.
Several factors affect morbidity and mortality the world over. Previous research shows mortality rates are higher among individuals of lower socio-economic status. We investigated the trajectory of neonatal (NM) and maternal (MM) mortality between 2010 and 2014 and the effect of healthcare spending on the relationship between the Human Development Index (HDI) and NM and MM.
Data were obtained from the United Nations Development Program and World Bank. Latent growth curve models (LGCMs) were estimated to determine the trajectory of NM and MM across the study period and the effect of the HDI on NM and MM. Mediation analysis was used to determine if healthcare expenditure mediated the relationship between HDI and NM and MM rates. ArcGIS (Esri, Redlands, CA, USA) was used to generate a choropleth map of changes in NM and MM between 2010 and 2014.
Results showed many countries in Africa enjoyed decreases in NM and MM between 2010 and 2014, but other countries (Algeria, Libya and Sudan) showed little or no improvement. The LGCM for NM (Comparative Fit Index=0.956) and MM (CFI=0.963) demonstrated good fit to the data and showed that the HDI was negatively related to NM and MM. Mediation analysis showed that healthcare spending mediated the relationship between NM and MM in each year.
Given that healthcare spending can mediate the relationship between HDI and NM and MM, increases in healthcare spending among countries with low HDI could improve NM and MM outcomes.
全球有几个因素会影响发病率和死亡率。先前的研究表明,社会经济地位较低的个体死亡率更高。我们调查了2010年至2014年期间新生儿死亡率(NM)和孕产妇死亡率(MM)的变化轨迹,以及医疗支出对人类发展指数(HDI)与NM和MM之间关系的影响。
数据来自联合国开发计划署和世界银行。估计潜在增长曲线模型(LGCMs)以确定整个研究期间NM和MM的变化轨迹以及HDI对NM和MM的影响。采用中介分析来确定医疗支出是否介导了HDI与NM和MM率之间的关系。使用ArcGIS(美国加利福尼亚州雷德兰兹市的Esri公司)生成2010年至2014年期间NM和MM变化的分级统计图。
结果显示,2010年至2014年期间,非洲许多国家的NM和MM有所下降,但其他国家(阿尔及利亚、利比亚和苏丹)几乎没有改善。NM的LGCM(比较拟合指数=0.956)和MM的LGCM(CFI=0.963)显示与数据拟合良好,并表明HDI与NM和MM呈负相关。中介分析表明,医疗支出在每年都介导了NM和MM之间的关系。
鉴于医疗支出可以介导HDI与NM和MM之间的关系,HDI较低国家增加医疗支出可能会改善NM和MM的结果。