The decades-long global efforts to reduce maternal morbidity and mortality have shown overall progress, but most developing countries are still lagging significantly. This study aimed to assess the prevalence of non-institutional childbirths in the Gambella State and to identify socio-demographic factors responsible for non-institutional utilization of available birth services by reproductive-aged mothers. A community-based cross-sectional study design was adopted using a multi-stage random sampling technique. Binary logistic regression was used to identify factors associated with the selected place of birth. EpiData version 3.1 and SPSS version 13.0 were applied for data entry and analyses. All the 657 eligible mothers recruited for this study responded to the interview. 71% of the total respondents had non-institutional childbirths (NICB), and the rest had their most recent childbirth in an institution with skilled healthcare providers' assistance. Socio-demographic factors were significantly associated with NICB. Nuer (AOR = 2.12, 95% CI: 1.23-3.63) and Majang ethnic (AOR = 1.98, 95% CI: 1.02-3.83) groups had higher rates of NICB than the rest of the study population. The prevalence of non-institutional childbirths in Gambella remained two times higher than the institutional childbirths.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001352 | PMC |
http://dx.doi.org/10.3390/ijerph18062859 | DOI Listing |
J Gynecol Obstet Hum Reprod
December 2024
Medical Information Center, Kyushu University Hospital, Fukuoka city, Japan.
Objectives: In this study, the association of non-institutional births with neonatal and infant mortality in Japan was investigated as well as sociodemographic characteristics of non-institutional births.
Methods: The Vital Statistics data in Japan (the birth data from 2012 to 2021 and mortality data from 2012 to 2022) were used. Births were classified into three types based on the place of birth and birth attendant: institutional births, non-institutional births with a physician or a midwife, and non-institutional births without a physician or a midwife.
BMC Pregnancy Childbirth
May 2024
Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, 200032, China.
Introduction: Existing research has shown that intimate partner violence (IPV) may hinder maternal access to healthcare services, thereby affecting maternal and child health. However, current studies have ignored whether emotional intimate partner violence (EV) could negatively affect maternal healthcare use. This study aims to evaluate the impact of invisible IPV on maternal healthcare utilization in Pakistan.
View Article and Find Full Text PDFIntroduction: The coronavirus disease 2019 (COVID-19) pandemic has substantially disrupted essential maternal and infant healthcare services due to the diversion of resources. The imposition of lockdown was one of the critical strategies to flatten the curve in several countries, including India. This led to restricted access to pregnancy-related care, immunization services, and had an impact on home-based newborn care.
View Article and Find Full Text PDFHeliyon
November 2023
Universidad Científica del Sur, Lima, Peru.
Objective: To evaluate the association between receiving information on obstetric complications and institutional delivery in Peruvian women in 2019.
Methods: We conducted a secondary analysis of the 2019 Peruvian Demographic and Family Health Survey (ENDES) database. The dependent variable was the type of delivery (institutional or non-institutional).
Eur J Obstet Gynecol Reprod Biol X
December 2023
Unidad para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru.
Objective: We aimed to evaluate the determinants of non-institutional delivery among women of childbearing age in Peru.
Methods: We conducted a secondary analysis of data from the Peru 2019 Demographic and Family Health Survey (ENDES). This multi-stage survey sampling is representative at the urban-rural, regional, and national levels.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!