Estimates and determinants of health facility delivery in the Birhan cohort in Ethiopia

Author:

Hunegnaw Bezawit M.ORCID,Goddard Frederick G. B.ORCID,Bekele DelayehuORCID,Haneuse SebastienORCID,Pons-Duran ClaraORCID,Zeleke Mesfin,Mohammed Yahya,Bekele ChalachewORCID,Chan Grace J.ORCID

Abstract

AbstractHealth facility delivery is one of the critical indicators to monitor progress towards the provision of skilled delivery care and reduction in perinatal mortality. In Ethiopia, utilization of health facilities for skilled delivery care has been increasing but varies greatly by region and among specific socio-demography groups. We aim to measure the prevalence and determinants of health facility delivery in the Amhara region in Ethiopia.From December 2018 to November 2020, we conducted a longitudinal study from a cohort of 2801 pregnant women and described the location of delivery and the association with determinants. We interviewed a subset of women who delivered in the community and analyzed responses using the three delays model to understand reasons for not using health facility services. A multivariable poisson regression model with robust error variance was used to estimate the presence and magnitude of association between location of delivery and the determinants.Of the 2,482 pregnant women followed through to birth, 73.6% (n=1,826) gave birth in health facilities, 24.3% (n=604) gave birth at home and 2.1% (n=52) delivered on the way to a health facility. Determinants associated with increased likelihood of delivery at a health facility included formal maternal education, shorter travel times to health facilities, primiparity, higher wealth index and having attended at least one ANC visit. Most common reasons mothers gave for not delivering in a health facility were delays in individual/family decision to seek care. The proportion of deliveries occurring in health facilities is improving but falls below targets. Interventions that focus on the identified social-demographic determinants to improve uptake of health facility delivery care are warranted.

Publisher

Cold Spring Harbor Laboratory

Reference65 articles.

1. WHO, UNFPA. Ending Preventable Maternal Mortality (EPMM) [Internet]. 2021. Available from: https://cdn.who.int/media/docs/default-source/mca-documents/maternal-nb/ending-preventable-maternal-mortality_epmm_brief-230921.pdf?sfvrsn=f5dcf35e_5

2. UN Inter-agency Group for Child Mortality Estimation. Child mortality and stillbirth estimates [Internet]. 2021. Available from: https://childmortality.org/

3. Stillbirths: rates, risk factors, and acceleration towards 2030;The Lancet,2016

4. World Health Organization, World Bank, United Nations Population Fund, United Nations Children’s Fund (UNICEF). Trends in maternal mortality: 1990-2015: estimates from WHO, UNICEF, UNFPA, World Bank Group and the United Nations Population Division [Internet]. Geneva: World Health Organization; 2015 [cited 2023 Jan 31]. Available from: https://apps.who.int/iris/handle/10665/194254

5. Global, regional, and national trends in under-5 mortality between 1990 and 2019 with scenario-based projections until 2030: a systematic analysis by the UN Inter-agency Group for Child Mortality Estimation;Lancet Glob Health,2022

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