Impact of quality improvement interventions on facility readiness, quality and uptake of maternal and child health services in developing regions of Ethiopia: a secondary analysis of programme data.

Background: Quality improvement intervention (QI) was implemented from 2018 to 2021 in health facilities of developing regional states of Ethiopia. The main objective of this study was to examine the impact of QI interventions on facility readiness, service availability, quality and usage of health services in these regions.

Methods: We used district health information system data of 56 health facilities (HFs).

COVID-19 Knowledge, Attitudes, and Vaccine Hesitancy in Ethiopia: A Community-Based Cross-Sectional Study.

The current healthcare system's efforts to reduce the spread of COVID-19 in Ethiopia and limit its effects on human lives are being hampered by hesitancy toward the COVID-19 vaccine. The aim of this study was to assess the knowledge levels, attitudes, and prevention practices of COVID-19, in the context of the level of vaccine hesitancy with other associated factors in Ethiopia. A community-based cross-sectional design with mixed-method data sources was employed.

Structural, programmatic, and sociocultural intersectionality of gender influencing access-uptake of reproductive, maternal, and child health services in developing regions of Ethiopia: A qualitative study.

Background: Gender remains a critical social factor in reproductive, maternal, and child health and family planning (RMNCH/FP) care. However, its intersectionality with other social determinants of the RMNCH remains poorly documented. This study aimed to explore the influence of gender intersectionality on the access uptake of RMNCH/FP in Developing Regional States (DRS) in Ethiopia.

Availability of comprehensive emergency obstetric and neonatal care in developing regions in Ethiopia: lessons learned from the USAID transform health activity.

Background: In collaboration with its partners, the Ethiopian government has been implementing standard Emergency Obstetric and Neonatal Care Services (CEmONC) since 2010. However, limited studies documented the lessons learned from such programs on the availability of CEmONC signal functions. This study investigated the availability of CEmONC signal functions and described lessons learned from Transform Health support in Developing Regional State in Ethiopia.

Effect of USAID-funded obstetric ultrasound service interventions on maternal and perinatal health outcomes at primary healthcare facilities in Ethiopia: a propensity score matching analysis.

Objective: A dimensional shift in the health service delivery in the primary healthcare setting is required to raise maternal and child well-being. This study aimed to evaluate the effect of US Agency for International Development-funded obstetric ultrasound service on maternal and perinatal health outcomes at Ethiopia's primary healthcare facilities.

Design: We employed a quasi-experimental study design.

Recurrent Neural Networks for Feature Extraction from Dengue Fever.

Dengue fever modelling in endemic locations is critical to reducing outbreaks and improving vector-borne illness control. Early projections of dengue are a crucial tool for disease control because of the unavailability of treatments and universal vaccination. Neural networks have made significant contributions to public health in a variety of ways.