Perinatal mortality and its predictors in Beni City, Democratic Republic of Congo: a cross-sectional study

Author:

Kahiririaa Mathe Julien,Namyalo Josephine,Mubarak Nasur,Otieno Emmanuel

Abstract

Abstract Background Globally, perinatal mortality rates have decreased considerably in the last 30 years. However, in sub-Saharan African countries perinatal mortality remains a public health burden. Therefore, this study aimed to determine the Perinatal Mortality Rate and the factors associated with perinatal mortality in Beni City, Northeastern Democratic Republic of Congo. Methods A hospital-based retrospective cross-sectional study was conducted among 1394 deliveries that were documented in Beni General Referral Hospital from 2 January to May 31, 2022. The study was done in the conflict-ridden Beni city of the North Kivu Province. Analysis was done using Open Epi and SPSS version 22. Binary and Multivariate logistic regression analyses were performed. Odds ratio with 95% confidence interval was used to measure strength of association. Results Findings indicate that 60.7% of 1394 participants were below the age of 21 years, and 95.1% (1325) Beni residents. The Perinatal Mortality Rate was 42.3 per 1000 live births. Majority (51) of the postpartum women who experienced perinatal mortality didn`t have a history of perinatal mortality as compared to their counterparts. Multivariable analysis revealed that birth weight (AoR = 0.082, 95% CI 0.014–0.449, p < 0.05) and Apgar score in the 10th minute (AoR = 0.082, 95% CI 0.000- 0.043, p < 0.05) were significantly associated with Perinatal mortality. Conclusion The high perinatal mortality rate in Beni General Referral Hospital, approximately four in every 100 births remains a disturbing public health concern of which is attributable to low birth weight and Apgar score. This study may help policy-makers and healthcare providers to design preventive interventions.

Publisher

Springer Science and Business Media LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3