Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Department of Human Anatomy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
BMC Pregnancy Childbirth. 2021 Jan 6;21(1):12. doi: 10.1186/s12884-020-03506-6.
Unlike infant and child mortality, neonatal mortality has declined steadily in Ethiopia. Despite the large-scale investment made by Ethiopia to improve the health of newborns and infants, it is among the regions with the highest burden of neonatal mortality. Although there are studies done on neonatal mortality in different areas of Ethiopia, as to our search of pieces of literature there is no study in Emerging regions of the country. Therefore, this study aimed to investigate the individual and community-level determinants of neonatal mortality in the Emerging regions of Ethiopia.
Using the 2016 Ethiopian Demographic and Health Survey (EDHS) data, secondary data analysis was done. A total weighted sample of 4238 live births in Emerging regions were included for the final analysis. A multilevel binary logistic regression was fitted to identify the significant determinants of neonatal mortality. The Intra-class Correlation Coefficient (ICC), Median Odds Ratio (MOR), Proportional Change in Variance (PCV) were used for assessing the clustering effect, and deviance for model comparison. Variables with a p-value < 0.2 in the bi-variable analysis were considered in the multivariable analysis. In the multivariable multilevel binary logistic regression analysis, Adjusted Odds Ratio (AOR) with 95% Confidence Interval (CI) were reported to declare statistically significant determinants of neonatal mortality.
The neonatal mortality rate in Emerging regions of Ethiopia was 34.9 per 1000 live births (95% CI: 29.8, 40.9). Being born to a mother who had no formal education (AOR = 1.79, 95% CI: 1.12, 2.88), being born to a mother who did not participate in making health care decisions (AOR = 1.25, 95% CI: 1.14, 1.79), and being twin birth (AOR = 6.85, 95% CI: 3.69, 12.70) were significantly associated with higher odds of neonatal mortality. On the other hand, being female (AOR = 0.67, 95% CI: 0.47, 0.95), having 1-3 Antenatal Care (ANC) visits (AOR = 0.34, 95% CI: 0.15, 0.74), high community media exposure (AOR = 0.64, 95% CI: 0.41, 0.98), and preceding birth interval of two to 4 years (AOR = 0.38, 95% CI: 0.24, 0.58) were significantly associated with lower odds of neonatal mortality.
Neonatal mortality in Emerging regions of Ethiopia was unacceptably high. Maternal education, women's autonomy in making decisions for health care, sex of a child, type of birth, preceding birth interval, ANC visit, and community media exposure were found significant determinants of neonatal mortality. Therefore, empowering women in making health care decisions and increasing access to mass media play a major role in reducing the incidence of neonatal mortality in Emerging regions of Ethiopia.
与婴儿和儿童死亡率不同,新生儿死亡率在埃塞俄比亚稳步下降。尽管埃塞俄比亚大规模投资改善新生儿和婴儿的健康状况,但它仍是新生儿死亡率最高的地区之一。尽管在埃塞俄比亚不同地区有关于新生儿死亡率的研究,但就我们对文献的搜索来看,该国新兴地区没有相关研究。因此,本研究旨在调查埃塞俄比亚新兴地区新生儿死亡的个体和社区层面决定因素。
使用 2016 年埃塞俄比亚人口与健康调查(EDHS)数据进行二次数据分析。最终分析纳入了新兴地区 4238 例活产的加权总样本。采用多水平二项逻辑回归模型来确定新生儿死亡率的显著决定因素。使用组内相关系数(ICC)、中位数优势比(MOR)和方差比例变化(PCV)来评估聚类效应,并使用偏差进行模型比较。在双变量分析中 p 值 < 0.2 的变量将被纳入多变量分析。在多变量多水平二项逻辑回归分析中,报告调整后的优势比(AOR)及其 95%置信区间(CI),以确定新生儿死亡率的统计学显著决定因素。
埃塞俄比亚新兴地区的新生儿死亡率为 34.9/1000 活产(95%CI:29.8,40.9)。母亲未接受正规教育(AOR=1.79,95%CI:1.12,2.88)、母亲未参与医疗决策(AOR=1.25,95%CI:1.14,1.79)和双胞胎分娩(AOR=6.85,95%CI:3.69,12.70)与较高的新生儿死亡风险显著相关。另一方面,女性(AOR=0.67,95%CI:0.47,0.95)、接受 1-3 次产前护理(ANC)(AOR=0.34,95%CI:0.15,0.74)、高社区媒体暴露(AOR=0.64,95%CI:0.41,0.98)和前次生育间隔为 2-4 年(AOR=0.38,95%CI:0.24,0.58)与较低的新生儿死亡风险显著相关。
埃塞俄比亚新兴地区的新生儿死亡率高得令人无法接受。母亲的教育程度、妇女在医疗保健决策方面的自主权、儿童性别、分娩类型、前次生育间隔、ANC 就诊次数和社区媒体暴露是新生儿死亡率的重要决定因素。因此,增强妇女在医疗保健决策方面的权能和增加对大众媒体的获取,对降低埃塞俄比亚新兴地区新生儿死亡率起着重要作用。