Search

Abstract Introduction The majority of pregnancy-related complications were preventable. However, the magnitude of complications during pregnancy and childbirth was high in sub-Saharan Africa. There was limited evidence on the magnitude of obstetric complications during childbirth and its predictors among postpartum women in Ethiopia. Methods and materials The research used secondary data sources based on performance monitoring for action in Ethiopia’s second cohort longitudinal survey. It was a national survey that was conducted in three large, predominantly agrarian regions (Oromia, Amhara, and SNNP) and one urban region (Addis Ababa) of Ethiopia between 2021 and 2023. It was conducted to track pregnant women’s use of essential maternal and newborn health services. It involved the enrollment of pregnant women and tracking them at six weeks, six months, and one year after giving birth. The data collected at the beginning of the survey and six weeks after childbirth were used for the analysis. Sample weights were applied to account for differences in sample allocation and response rates across regions and urban/rural areas. Multi-collinearity and intra-cluster correlation were assessed before fitting the multilevel models to ensure the accuracy of the estimates. A multi-level logistic regression model was used to assess the magnitude and predictors for the occurrence of obstetric complications during delivery. The model fit was evaluated using Akaike’s Information Criterion and Bayesian Information Criterion. Adjusted odds ratio with its 95% confidence interval was used to measure the strength of association for this study. Results The magnitude of obstetric complications during delivery was found to be 33.86% with 95% CI (31.56, 36.24. Among the obstetric complications that occurred during delivery, about 15.73%with 95% CI(14.02, 17.61) of women experienced bleeding, 4.14% with 95% CI (3.30, 5.17) had their membrane rupture but labor did not start within 24 h, 2.29% with 95% CI(1.67, 3.13) had their membrane rupture before 9 months, 3.95% with 95% CI(3.16, 4.93) had faced malpresentation or malposition of the baby, 12.70% with 95% CI (11.18, 14.39) had prolonged labor lasting more than 12 h, and 12.40% with 95% CI (10.83,14.17) had convulsions. The odds of occurrence of obstetric complication during delivery among women from severely food insecure households were 1.88 times [AOR = 1.88; 95% CI (1.22, 2.90)] more likely to occur than women from food secure households. Moreover, the odds of occurrence for obstetric complications during delivery among women who had complications during their pregnancy were 2.39 times [AOR = 2.39; 95% CI (1.81, 3.16)] more likely to occur as compared to those women who had no complication during their pregnancy. On the other hand, women’s who had 1–4 live births given before this delivery were 0.61 times [AOR = 0.61; 95% (0.43, 0.88)] less likely to develop complications as compared to those women’s who had no prior live birth. Conclusion and recommendation Delivery-related obstetric complications during delivery in Ethiopia were high. Approximately one-third of postpartum women in Ethiopia experienced obstetric complications during delivery. Based on this study, women’s from severely food insecure households, those women’s who had no prior live birth, and women’s who had complications during their pregnancy were more likely to develop delivery-related obstetric complications. Thus, policy makers and program implementers who were working on maternal and newborn health should give special attention for women’s from severely food insecure households, women’s who had no prior live births, and those women’s who encountered obstetric complications during their pregnancy to decrease the occurrence of obstetric complications during delivery. In Ethiopia, various governmental organizations, such as the Ministry of Health and the Ministry of Agriculture, are dedicated to addressing food insecurity and improving nutritional access. The country has launched several effective nutritional programs, including the Productive Safety Net Program, the Targeted Supplementary Feeding Program, and the National Nutrition Program, aimed at alleviating food insecurity and enhancing nutrition. Ongoing efforts are crucial to tackle the food insecurity experienced by women, which can help to reduce obstetric related complications of women’s during delivery. It is crucial for everyone involved in maternal and newborn health to prioritize addressing the factors that lead to obstetric complications during delivery in women in order to reach the goal of ending all preventable maternal and newborn deaths by 2030.

Abstract Introduction There has been extensive research conducted on open defecation in Ethiopia, but a notable gap persists in comprehensively understanding the spatial variation and predictors at the household level. This study utilizes data from the 2021 Performance Monitoring for Action Ethiopia (PMA-ET) to address this gap by identifying hotspots and predictors of open defecation. Employing geographically weighted regression analysis, it goes beyond traditional models to account for spatial heterogeneity, offering a nuanced understanding of geographical variations in open defecation prevalence and its determinants. This research pinpoints hotspot areas and significant predictors, aiding policymakers and practitioners in tailoring interventions effectively. It not only fills the knowledge gap in Ethiopia but also informs global sanitation initiatives. Methods The study comprised a total weighted sample of 24,747 household participants. ArcGIS version 10.7 and SaT Scan version 9.6 were used to handle mapping, hotspots, ordinary least squares, Bernoulli model analysis, and Spatial regression. Bernoulli-based model was used to analyze the purely spatial cluster detection of open defecation at the household level in Ethiopia. Ordinary Least Square (OLS) analysis and geographically weighted regression analysis were employed to assess the association between an open defecation and explanatory variables. Results The spatial distribution of open defecation at the household level exhibited clustering (global Moran’s I index value of 4.540385, coupled with a p-value of less than 0.001), with significant hotspots identified in Amhara, Afar, Harari, and parts of Dire Dawa. Spatial analysis using Kuldorff’s Scan identified six clusters, with four showing statistical significance (P-value

IntroductionThis study delves into individual and community-level factors influencing the availability of water, soap, and cleansing agents for handwashing in Ethiopia. Its comprehensive exploration offers nuanced insights, informing targeted interventions and policies to effectively enhance handwashing resources across Ethiopia. Therefore, this study aimed to assess individual and community-level factors of availability of observed water, soap, and other cleansing agents for hand washing practices in Ethiopia.MethodsData from the 2021 PMA-ET, encompassing 24,747 household participants, informed this study. Employing STATA version 17.0, a multi-level mixed-effect logistic regression analysis was performed to identify individual and community-level factors. Adjusted odds ratios with a 95% confidence interval conveyed the strength and direction of associations, with significance determined at p