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东埃塞俄比亚婴儿死亡的原因和相关因素模式:使用口述尸检(InterVA-4)研究的结果。

Causes of infant deaths and patterns of associated factors in Eastern Ethiopia: Results of verbal autopsy (InterVA-4) study.

机构信息

Ethiopian Institute of Water Resources, Addis Ababa University, Addis Ababa, Ethiopia.

School of Public Health, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.

出版信息

PLoS One. 2022 Aug 4;17(8):e0270245. doi: 10.1371/journal.pone.0270245. eCollection 2022.

Abstract

BACKGROUND

In a range of setting, detecting and generate empirical information on the cause of infant death and contributing risk factors at population level is basically utmost essential to take evidence-based measures in reducing infant morbidity and mortality. An electronic verbal autopsy is suitable tool and best alternative solution to determine individuals' cause of death in a setting where the majority of deaths occur at home and civil registration systems do not exist. The present study was undertaken to find out cause of infant death, applying computer-based probabilistic model (InterVA-4) and analyze the patterns of association factors of mother's and the deceased infant's characteristics to the leading cause-specific infant mortality in Eastern Ethiopia.

METHODS

The study employed a community-based prospective longitudinal survey, which was conducted with routinely enumeration of reported infant deaths for a period of two years (from September 2016 to August 2018) in Eastern part of Ethiopia. Using the two-stage cluster sampling technique, the study was undertaken in four randomly selected districts of West Hararghe zone and two districts of zone 3 in Oromia and Afar regional state, respectively. The study included a total of 362 infants who were deceased during the study period. Data was collected by trained enumerators by interviewing the mothers or guardians of the deceased infant using a 2014 standardize World Health Organization (WHO) Verbal Autopsy questionnaire. InterVA-4 model were used for processing and interpreting verbal autopsy data in order to arrive at the most likely causes of infant death. SPSS version 23 was also used for statistical analysis of frequency distribution and logistic regression for the association between covariates and outcomes.

FINDINGS

Of the overall (362) deceased infants' during the study period, 53.0% of deaths occurred during neonatal time while 47.0% died in the post-neonatal period. Acute respiratory infection including neonatal and post-neonatal pneumonia (38.4%), birth asphyxia (16.4%), diarrheal diseases (16.3%), prematurity (7.4%) and malaria (4.3%) were found to be the leading causes of infant mortality in the study area. The independent factors strongly associated with probable ARI, including pneumonia related mortality as compared to all-causes of death were infants with maternal age lower than 20 years old (p = 0.001, AOR: 4.82, 95% CI: 1.88, 12.3) and infant being died outside of heath facilities (P = 0.007, AOR: 2.85, 95% CI: 1.33, 6.12). The post-neonatal period (P = 0.000, AOR: 15.5, 95% CI: 6.35, 37.8) and infant died in the wet season (P = 0.006, AOR: 2.38, 95% CI: 1.28, 4.44) had strong relationship with dying from diarrhea-related death than those infants died from all non-diarrhea. The death due to malaria robustly associated with infants whose mothers age between 20-35 years old (P = 0.024, AOR: 4.44, 95% CI: 1.22, 16.2) and infant who was dwelled in the districts of Afar region (P = 0.013, AOR: 4.08, 95% CI: 1.35, 12.4).

CONCLUSION

The highest cause of infant mortality was associated with disease of respiratory system, particularly acute respiratory infection, including both neonates and post-neonatal pneumonia. Most of the infant deaths existed are as a result of diseases and conditions that are readily preventable or treatable cause, similar to those reported in worldwide, which have needs of further attention. The patterns of significant associated factors across cause-specific mortality against all-cause of death were dissimilar. Therefore, strengthen maternal and child health program with effective preventive interventions emphasizing on the most common cause of infant deaths and those factors contributing in raising mortality risk are required.

摘要

背景

在各种环境下,检测和生成有关婴儿死亡原因和导致死亡的风险因素的经验信息,对于采取循证措施降低婴儿发病率和死亡率至关重要。电子死因推断是一种合适的工具,也是确定大多数死亡在家中发生且民事登记系统不存在的环境下个体死因的最佳替代解决方案。本研究旨在通过应用基于计算机的概率模型(InterVA-4)来确定婴儿死亡的原因,并分析母亲和死亡婴儿特征与特定原因婴儿死亡率之间关联因素的模式,从而了解东埃塞俄比亚婴儿死亡的原因。

方法

本研究采用了基于社区的前瞻性纵向调查,该调查在东埃塞俄比亚进行了为期两年的常规报告婴儿死亡登记(2016 年 9 月至 2018 年 8 月)。研究采用两阶段聚类抽样技术,在西哈勒尔戈和 3 区的两个区的四个随机选择的区进行了研究。研究共包括 362 名在研究期间死亡的婴儿。通过受过培训的调查员使用 2014 年世界卫生组织(WHO)标准的口头尸检问卷,对死亡婴儿的母亲或监护人进行访谈,收集数据。InterVA-4 模型用于处理和解释口头尸检数据,以确定婴儿死亡的最可能原因。还使用 SPSS 版本 23 对频率分布进行统计分析,并对协变量和结果之间的关联进行逻辑回归分析。

结果

在研究期间(362 名)所有死亡的婴儿中,53.0%的死亡发生在新生儿期,47.0%的死亡发生在新生儿后期。急性呼吸道感染(包括新生儿和新生儿后期肺炎)(38.4%)、出生窒息(16.4%)、腹泻病(16.3%)、早产(7.4%)和疟疾(4.3%)是该研究地区婴儿死亡的主要原因。与所有原因死亡相比,与急性呼吸道感染相关的死亡具有高度相关性的独立因素包括母亲年龄小于 20 岁的婴儿(p = 0.001,AOR:4.82,95%CI:1.88,12.3)和在医疗机构外死亡的婴儿(P = 0.007,AOR:2.85,95%CI:1.33,6.12)。新生儿后期(P = 0.000,AOR:15.5,95%CI:6.35,37.8)和湿季死亡(P = 0.006,AOR:2.38,95%CI:1.28,4.44)与腹泻相关死亡相比,与非腹泻相关死亡的婴儿具有更强的关系。疟疾导致的死亡与母亲年龄在 20-35 岁之间的婴儿(P = 0.024,AOR:4.44,95%CI:1.22,16.2)和居住在阿法尔地区的婴儿(P = 0.013,AOR:4.08,95%CI:1.35,12.4)之间具有很强的关系。

结论

婴儿死亡率最高的原因与呼吸系统疾病有关,特别是急性呼吸道感染,包括新生儿和新生儿后期肺炎。大多数婴儿死亡是由于那些容易预防或治疗的疾病和情况造成的,与全球报告的情况相似,这些情况需要进一步关注。特定原因死亡率与所有原因死亡率之间的显著关联因素模式不同。因此,需要加强母婴健康计划,采取有效的预防干预措施,重点关注婴儿死亡的最常见原因以及导致死亡率上升的因素。

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