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在产后立即期间收到关于新生儿危险迹象的健康信息及其在埃塞俄比亚的决定因素:对 2016 年埃塞俄比亚人口健康调查报告的多水平混合效应逻辑回归分析。

The receipt of health information on neonatal dangers signs during the immediate postpartum period and its determinants in Ethiopia: a multilevel mixed-effects logistic regression analysis of the 2016 Ethiopian demographic health survey report.

机构信息

School of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosanna, Ethiopia.

Department of Clinical and Psychosocial Epidemiology, University of Groningen, Groningen, Netherlands.

出版信息

BMC Pregnancy Childbirth. 2024 Jun 6;24(1):408. doi: 10.1186/s12884-024-06605-w.

DOI:10.1186/s12884-024-06605-w
PMID:38844856
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11154997/
Abstract

BACKGROUND

Identification of neonatal danger signs and immediate access to health care are two global efforts aimed at enhancing newborn and child survival by preventing 75% of neonatal deaths. Despite various small-scale studies on women's awareness of neonatal danger signs in Ethiopia, little is known about the level of receiving health information on those danger signs during the immediate postpartum period at the national level. Hence, this study aimed at assessing the level, and its determinants of the service uptake in Ethiopia.

METHODS

The data for this study was taken from the Ethiopian Demographic and Health Survey (EDHS), which took place from January to June 2016 and covered all administrative regions of Ethiopia. A weighted sample of 7,589.8 women was analyzed using STATA version 16. To account for data clustering, a multivariable multilevel mixed-effect logistic regression analysis was employed to determine the effects of each predictor on the outcome variable. Adjusted odds ratio with its corresponding 95% confidence interval was used to declare the statistical significance of the explanatory variables.

RESULTS

The receipt of health information on neonatal danger signs during the immediate postpartum period was 10.70% [95% CI:10.01, 11.40]. Variables namely living in Metropolitans [AOR = 2.06; 95%CI: 1.48, 2.88] and Large central [AOR = 1.83; 95%CI: 1.38, 2.42] regions, being in the highest wealth quintile [AOR = 1.87; 95% CI: 1.23, 2.84], being nulliparous [AOR = 0.27; 95% CI: 0.08, 0.87] and primiparous[AOR = 0.61;95% CI: 0.46, 0.79], getting adequate antenatal visits [AOR = 2.42; 95% CI: 1.75, 3.33], institutional delivery [AOR = 5.91; 95% CI: 4.66, 7.53], and receipt of postnatal visits [AOR = 3.52; 95% CI: 2.84, 4.38] were identified as significant determinants of receiving health information on newborn danger signs.

CONCLUSION

The findings revealed that unacceptably low uptake of health information on newborn danger signs during the immediate postpartum period in Ethiopia. A concerted effort is needed from all stakeholders in the health sector to enhance the uptake of maternal health services (antenatal care, skilled delivery service, and postnatal care). Healthcare providers should pay special attention to nulliparous and primiparous women during and after delivery, and the government should also focus on women of peripheral regions, who make up a large portion of the low coverage.

摘要

背景

识别新生儿危险信号并立即获得医疗保健是两项全球努力,旨在通过预防 75%的新生儿死亡来提高新生儿和儿童的生存率。尽管在埃塞俄比亚进行了各种关于妇女对新生儿危险信号的认识的小规模研究,但对于在国家层面上产妇在产后立即获得有关这些危险信号的健康信息的程度知之甚少。因此,本研究旨在评估埃塞俄比亚获得服务的水平及其决定因素。

方法

本研究的数据来自埃塞俄比亚人口与健康调查(EDHS),该调查于 2016 年 1 月至 6 月进行,涵盖了埃塞俄比亚的所有行政区。使用 STATA 版本 16 对 7589.8 名妇女的加权样本进行了分析。为了考虑数据聚类,采用多变量多层混合效应逻辑回归分析来确定每个预测变量对因变量的影响。使用调整后的优势比及其对应的 95%置信区间来宣布解释变量的统计学意义。

结果

产妇在产后立即获得有关新生儿危险信号的健康信息的比例为 10.70%[95%CI:10.01,11.40]。居住在大都市[优势比(AOR)=2.06;95%置信区间(CI):1.48,2.88]和大型中心[AOR=1.83;95%CI:1.38,2.42]地区、处于最高财富五分位数[AOR=1.87;95%CI:1.23,2.84]、初产妇[AOR=0.27;95%CI:0.08,0.87]和初产妇[AOR=0.61;95%CI:0.46,0.79]、接受足够的产前检查[AOR=2.42;95%CI:1.75,3.33]、机构分娩[AOR=5.91;95%CI:4.66,7.53]和接受产后检查[AOR=3.52;95%CI:2.84,4.38]是获得新生儿危险信号健康信息的显著决定因素。

结论

研究结果表明,埃塞俄比亚产妇在产后立即获得新生儿危险信号健康信息的比例低得令人无法接受。卫生部门的所有利益攸关方都需要共同努力,以提高产妇保健服务(产前护理、熟练分娩服务和产后护理)的利用率。医疗保健提供者应在分娩期间和之后特别关注初产妇和初产妇,政府还应关注占很大比例的外围地区的妇女,她们的覆盖率较低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61e0/11154997/ddba9f364971/12884_2024_6605_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61e0/11154997/ddba9f364971/12884_2024_6605_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/61e0/11154997/ddba9f364971/12884_2024_6605_Fig1_HTML.jpg

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