School of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosanna, Ethiopia.
Centre for Sustainability, University of Otago, Dunedin, New Zealand.
PLoS One. 2024 Sep 6;19(9):e0308104. doi: 10.1371/journal.pone.0308104. eCollection 2024.
Essential Newborn care (ENC) is a High-quality universal newborn health care devised by the World Health Organization for the provision of prompt interventions rendered to newborns during the postpartum period. Even though conducting comprehensive studies could provide a data-driven approach to tackling barriers to service adoption, there was a dearth of studies in Ethiopia that assess the geographical variation and predictors of missing ENC. Hence, this study aimed to identify geographical, individual, and community-level predictors of missing ENC messages at the national level.
This study used the 2016 Ethiopian Demographic and Health Survey, by using a weighted sample of 7,590 women who gave birth within two years prior to the survey. The spatial analysis was carried out using Arc-GIS version 10.7 and SaTScan version 9.6 statistical software. Spatial autocorrelation (Moran's I) was checked to figure out the non-randomness of the spatial variation of missing ENC in Ethiopia. Six items of care used to construct a composite index.0of ENC uptake were cord examination, temperature measurement, counselling on danger signs, counselling on breastfeeding, observation of breastfeeding, and measurement of birth weight. To assess the presence of significant differences in the mean number of ENC items across covariates, independent t-tests and one-way ANOVA were performed. Finally, a multilevel multivariable mixed-effect negative binomial regression was done by using STATA version 16. The adjusted incidence rate ratio (aIRR) with its corresponding 95% CI was used as a measure of association and variables with a p-value<0.05 were identified as significant predictors of ENC.
The overall prevalence of missing ENC was 4,675 (61.6%) (95% CI: 60.5, 62.7) with a significant spatial variation across regions. The majority of Somali, Afar, south Amhara, and SNNPR regions had statistically significant hotspots for missing ENC. The mean (±SD) number of ENC items received was 1.23(±1.74) with a variance of 3.02 indicating over-dispersion. Living in the poorest wealth quintile (aIRR = 0.67, 95%CI: 0.51, 0.87), lack of Antenatal care (aIRR = 0.52, 95%CI: 0.49, 0.71), birth at home (aIRR = 0.27, 95% CI: 0.17, 0.34), living in rural area (aIRR = 0.39, 95% CI: 0.24, 0.57) were significant predictors of ENC uptake.
The level of missing ENC was found to be high in Ethiopia with a significant spatial variation across regions. Hence, the government and policymakers should devise strategies for hotspot areas to improve women's economic capabilities, access to education, and health-seeking behaviours for prenatal care and skilled delivery services to improve ENC uptake.
基本新生儿护理(ENC)是世界卫生组织为在产后期间为新生儿提供及时干预而设计的高质量普遍新生儿保健。尽管进行全面研究可以为解决服务采用的障碍提供数据驱动的方法,但埃塞俄比亚缺乏评估ENC 缺失的地理变化和预测因素的研究。因此,本研究旨在确定国家一级缺失 ENC 信息的地理、个人和社区层面的预测因素。
本研究使用了 2016 年埃塞俄比亚人口与健康调查,使用了在调查前两年内分娩的 7590 名妇女的加权样本。使用 Arc-GIS 版本 10.7 和 SaTScan 版本 9.6 统计软件进行空间分析。检查空间自相关(Moran's I)以确定埃塞俄比亚缺失 ENC 的空间变化的非随机性。使用六个护理项目构建了 ENC 吸收率的综合指数。脐带检查、体温测量、危险征象咨询、母乳喂养咨询、观察母乳喂养和测量出生体重。为了评估在协变量方面平均 ENC 项目数量是否存在显著差异,进行了独立 t 检验和单因素方差分析。最后,使用 STATA 版本 16 进行了多水平多变量混合效应负二项回归。使用调整后的发病率比(aIRR)及其相应的 95%置信区间(CI)作为关联的度量标准,并确定 p 值<0.05 的变量为 ENC 的显著预测因子。
总体上,缺失 ENC 的发生率为 4675 例(61.6%)(95%CI:60.5,62.7),区域间存在显著的空间变化。大多数索马里、阿法尔、南阿姆哈拉和 SNNPR 地区的缺失 ENC 存在统计学上显著的热点。接受的 ENC 项目的平均(±SD)数量为 1.23(±1.74),方差为 3.02,表明存在过分散。生活在最贫困的五分位数(aIRR=0.67,95%CI:0.51,0.87)、缺乏产前护理(aIRR=0.52,95%CI:0.49,0.71)、在家分娩(aIRR=0.27,95%CI:0.17,0.34)、生活在农村地区(aIRR=0.39,95%CI:0.24,0.57)是 ENC 吸收率的显著预测因素。
埃塞俄比亚发现缺失 ENC 的程度很高,区域间存在显著的空间变化。因此,政府和政策制定者应制定针对热点地区的策略,以提高妇女的经济能力、获得教育和寻求产前保健和熟练分娩服务的机会,以提高 ENC 的吸收率。