Spatiotemporal patterns and factors contributing to neonatal mortality in Ethiopia: Data from EDHS 2000 to 2019.

IF 2.9 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
PLoS ONE Pub Date : 2024-11-04 eCollection Date: 2024-01-01 DOI:10.1371/journal.pone.0310276
Getiye Dejenu Kibret, Habtamu Mellie Bizuayehu, Abel F Dadi, Erkihun Amsalu, Addisu Alehegn Alemu, Tahir Ahmed Hassen, Cheru Tesema Leshargie, Meless Gebrie Bore, Zemenu Yohannes Kassa, Daniel Bekele Ketema, Jemal E Shifa, Animut Alebel, Kedir Y Ahmed
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引用次数: 0

Abstract

Background: Although Ethiopia has substantial improvements in various health indicators such as maternal and child mortality, the burden of neonatal mortality remains high. Between 2016 and 2019, neonatal mortality increased from 29 deaths per 1,000 live births to 33 deaths per 1,000 live births. This study aimed to explore the spatial patterns and factors contributing to neonatal mortality in Ethiopia.

Methods: Data from the Ethiopian Demographic and Health Surveys (EDHS) for the years 2000, 2005, 2011, 2016, and 2019 were analyzed. The EDHS sampling design uses a two-stage cluster sampling technique, considering census enumeration areas as primary sampling units and households as secondary sampling units. We used the Spatial Scan analysis in SaTScan and Getis-Ord Gi* statistic in Geographic Information System (GIS), to analyse the spatiotemporal patterns of neonatal mortality. Maternal, newborn and health service-related factors contributing to neonatal mortality were also analyzed using a multilevel logistic regression model. Adjusted Odds Rios (AOR) with corresponding 95% CI were presented as a measure of association and a P-value of 0.05 was used to declare statistical significance.

Results: During the initial three consecutive surveys, there was a consistent pattern of hot spot clusters in the Amhara and Benshangul Gumuz regions, along with certain parts of the Oromia region. However, in later surveys, these clusters shifted to the eastern parts of the country, notably including the Somali region. Early initiation of breast feeding was associated with reduced chances of neonatal death (Adjusted Odds Ratio [AOR]) = 0.27; 95% Confidence Interval [CI]: 0.23, 0.32). Neonates born at home (AOR = 1.46; 95% CI: 1.16, 1.82) and male babies had a higher likelihood of mortality during the neonatal period compared to their counterparts (AOR = 1.36; 95% CI: 1.24, 1.51). The odds of neonatal mortality increased with the number of children a mother had ever given birth to (AOR = 1.36; 95% CI: 1.24, 1.51). In contrast, longer birth intervals were associated with a reduced risk of neonatal mortality (AOR = 0.76; 95% CI: 0.68, 0.83).

Conclusion: The central southern, central-western, north-western, and northern parts of Ethiopia had most of the neonatal death clusters in the first three rounds of DHS while eastern Ethiopia had the highest neonatal mortality clusters in the latest two surveys. Our results underscore the importance for policymakers and health administrators to reassess intervention approaches and reallocate resources to regions identified as hot spots for neonatal mortality. Enhancing the initiation of breastfeeding within the first hour of birth would improve newborn survival rates. Special attention and care need to be given to babies born of smaller sizes.

埃塞俄比亚新生儿死亡的时空模式和因素:2000年至2019年埃塞俄比亚人口与健康调查数据。
背景:尽管埃塞俄比亚在孕产妇和儿童死亡率等各项健康指标方面取得了实质性改善,但新生儿死亡率负担仍然很重。2016 年至 2019 年间,新生儿死亡率从每千名活产儿 29 例死亡上升至每千名活产儿 33 例死亡。本研究旨在探讨导致埃塞俄比亚新生儿死亡率的空间模式和因素:分析了埃塞俄比亚人口与健康调查(EDHS)2000、2005、2011、2016 和 2019 年的数据。埃塞俄比亚人口与健康调查的抽样设计采用两阶段整群抽样技术,将人口普查辖区作为一级抽样单位,家庭作为二级抽样单位。我们使用 SaTScan 中的空间扫描分析和地理信息系统(GIS)中的 Getis-Ord Gi* 统计来分析新生儿死亡率的时空模式。此外,还利用多层次逻辑回归模型分析了导致新生儿死亡的孕产妇、新生儿和医疗服务相关因素。结果显示,在最初的三次连续调查中,新生儿死亡率均高于正常值:在最初的三次连续调查中,阿姆哈拉和本尚古鲁兹地区以及奥罗莫地区的某些地方出现了一致的热点集群模式。然而,在后来的调查中,这些热点集群转移到了该国东部地区,主要包括索马里地区。早期开始母乳喂养与新生儿死亡几率的降低有关(调整后比值比 [AOR]) = 0.27;95% 置信区间 [CI]:0.23, 0.32):0.23, 0.32).在家中出生的新生儿(AOR = 1.46;95% CI:1.16,1.82)和男婴在新生儿期死亡的可能性高于同龄婴儿(AOR = 1.36;95% CI:1.24,1.51)。新生儿死亡的几率随着母亲生育过的孩子数量的增加而增加(AOR = 1.36;95% CI:1.24,1.51)。与此相反,生育间隔越长,新生儿死亡风险越低(AOR = 0.76;95% CI:0.68,0.83):埃塞俄比亚中南部、中西部、西北部和北部地区在前三轮人口与健康调查中出现了大多数新生儿死亡群,而在最近两次调查中,埃塞俄比亚东部地区的新生儿死亡率最高。我们的调查结果表明,政策制定者和卫生管理者必须重新评估干预方法,并将资源重新分配到被确定为新生儿死亡热点的地区。加强新生儿出生后一小时内的母乳喂养将提高新生儿存活率。需要特别关注和照顾出生时体型较小的婴儿。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
PLoS ONE
PLoS ONE 生物-生物学
CiteScore
6.20
自引率
5.40%
发文量
14242
审稿时长
3.7 months
期刊介绍: PLOS ONE is an international, peer-reviewed, open-access, online publication. PLOS ONE welcomes reports on primary research from any scientific discipline. It provides: * Open-access—freely accessible online, authors retain copyright * Fast publication times * Peer review by expert, practicing researchers * Post-publication tools to indicate quality and impact * Community-based dialogue on articles * Worldwide media coverage
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