Neonatal mortality and its predictors among neonates in Jabitehnan district, Northwest Ethiopia: A single‐arm retrospective cohort study

Author:

Dessie Anteneh Mengist1ORCID,Nigatu Dabere2,Yadita Zemenu Shiferaw2,Yimer Yalemwork Anteneh3,Yalew Anteneh Kassa4,Aychew Eden Workneh5,Feleke Sefineh Fenta6

Affiliation:

1. Department of Public Health, College of Health Science Debre Tabor University Debre Tabor Ethiopia

2. Department of Reproductive Health and population studies, School of public health, College of Medical & Health Sciences Bahir Dar University Bahir Dar Ethiopia

3. Department of pediatric and child health, Tibebe Ghion specialized hospital, college of medicine and health science Bahir Dar university Bahir Dar Ethiopia

4. Department of Public Health, College of Health Science Wolkite University Wolkite Ethiopia

5. Department of Midwifery, College of Health Science Debre Tabor University Debre Tabor Ethiopia

6. Department of Public Health, College of Health Science Woldia University Woldia Ethiopia

Abstract

AbstractBackground and AimsNeonatal period is the most vulnerable time in which children face the greatest risk of death. Worldwide, each year, millions of newborns died in the first month of life. Sub‐Saharan Africa, Ethiopia, in particular, is largely affected. However, there is a dearth of information regarding the survival status of neonates and determinants of their mortality in the study area. Therefore, this study was aimed at investigating neonatal mortality and its predictors in Jabitehnan district, Northwest Ethiopia.MethodA single‐arm community‐based retrospective cohort study was conducted in March 2021 among 952 neonates born between August 2020 and February 2021. Data were collected by a semi‐structured questionnaire, and a multistage stratified sampling technique was employed to select one urban and 10 rural kebeles from the district. Then, the total sample size was proportionally allocated to these selected kebeles. Neonatal death was ascertained by community diagnosis. Kaplan–Meier curve was used to estimate survival time. Cox regression was used to identify factors, the hazard ratio was estimated, and a p‐value < 0.05 was considered statistically significant.ResultsThe neonatal mortality rate was 44 (95% confidence interval [CI]: 33–60) per 1000 live births; and the incidence rate was 1.64 (95% CI: 1.21–2.23) per 1000 neonate days. Three‐quarters of deaths occurred in the first week of life. Medium household wealth index (adjusted hazard ratio [AHR] = 3.54; 95 CI: 1.21–10.35), increased number of pregnancies (AHR = 1.22; 95%CI: 1.01–1.47), being male (AHR = 2.45, 95% CI: 1.12–5.35) and not starting breastfeeding in the first hour of life (AHR = 4.00; 95% CI: 1.52–11.10) were found to be predictors of neonatal mortality.ConclusionNeonatal mortality was high compared to the national target. Wealth, number of pregnancies, sex of the neonate, and breastfeeding initiation were factors associated with neonatal death. Hence, strengthening interventions such as providing sexual education in the population, considering households with a medium wealth index in the exemption service, and counseling mothers about early breastfeeding initiation would improve neonatal survival.

Publisher

Wiley

Subject

General Medicine

Reference40 articles.

1. World Health Organization. Neonatal and perinatal mortality: Country regional and global estimates.2004.https://apps.who.int/iris/handle/10665/43444

2. WHO. Newborns: improving survival and well‐being. September 19 2020.https://www.who.int/news-room/fact-sheets/detail/newborns-reducing-mortality

3. National, regional, and global levels and trends in neonatal mortality between 1990 and 2017, with scenario-based projections to 2030: a systematic analysis

4. Springer Nature SDG Programme. SDG 3: Good Health & Well‐being.2023.https://www.springernature.com/gp/researchers/sdg-programme/sdg3

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