Working with our measurement, learning and evaluation partners and using multidisciplinary research methods, our findings on what works, why and how aims to close the gap in implementation research on how to get life-saving interventions to families at scale.
In Ethiopia, the IDEAS project works across a range of research areas.
Focus on a core set of priority interventions is key to tracking progress in maternal and newborn health. Together with the Bill & Melinda Gates Foundation, IDEAS worked on developing a maternal and newborn health dashboard. This dashboard aimed to track population level coverage indicators for contacts with health services and for life saving interventions, together with facility level indicators of service readiness to provide life saving care.
To enhance the capacity of health systems, quality data needs to be generated and used at the local level for timely course correction, improved health outcomes and the long-term sustainability of health initiatives. Following an Ethiopian feasibility study in 2012 and the experiences of a prototype phase in the state of West Bengal State in India, we are adopting an action-research approach to adapt, implement and evaluate the Data-Informed Platform for Health for the Ethiopian context.
We aim to improve measurement of priority indicators for maternal and newborn health by testing the coverage estimates derived from multiple sources.
Building on our previous work to understand behaviour change at household level in Ethiopia, IDEAS is using novel qualitative and quantitative approaches to understand health worker behaviours that drive quality improvement in the provision and utilisation of maternal and newborn health services.
One initiative supporting understanding quality improvement is the Quality of Care Network research (QCN). IDEAS is collaborating with a multi-country research project titled: “How does a multi-country, multilateral network focused on specific health care improvements evolve and what shapes its ability to achieve its goals?” (‘QCN project’). The parent project is led by the UCL Institute for Global Health. Working with the Ethiopian Public Health Institute (EPHI), IDEAS will focus on the experience of Ethiopia as part of this larger body of research.
IDEAS carries out qualitative studies to assess what happens in the long term to donor-funded maternal and newborn health innovations that are scaled-up. This work responds to the foundation’s commitment to seeing health investments scaled-up and sustained and will generate important new knowledge on how donors can foster the sustainability of health programmes in low-income settings. Building on established strong partnerships the project is embedded in local institutions and actively seeks opportunities to build capacity for government institutions and their staff in sustainability.
Community-Based Newborn Care (CBNC) is an Ethiopian national initiative launched in 2013. It brings life-saving care to mothers and newborns at the community level within the Ethiopian health system. IDEAS has been collaborating with the Ethiopian Federal Ministry of Health and JaRco Consulting to evaluate the CBNC programme through a series of quantitative surveys and qualitative assessments over five years.
Journal articleHas Ethiopia been successful in increasing health care utilisation for children?
Despite a range of programmes and initiatives introduced in Ethiopia since 2003 care-seeking for sick under-five children has remained low. The...
Journal articleDistrict decision-making for health in low-income settings: a feasibility study of a data-informed platform for health in India, Nigeria and Ethiopia
A study of the feasibility of using a data informed platform for health in a district health systems context in five districts of India, Nigeria and Ethiopia.
Journal articleDistrict decision-making for health in low-income settings: a case study of the potential of public and private sector data in India and Ethiopia
A study documenting the nature and type of data collected by the public and private health systems, data flow and sharing, use and inter-sectoral linkages in India and Ethiopia.
ReportChanges in maternal and newborn health care in Ethiopia
The aim of this study was to estimate changes in maternal and newborn health care in areas of Ethiopia where implementation projects funded by the Bill & Melinda Gates Foundation were operating.
NewsAccelerating progress in Maternal and Newborn Child Health
How do we scale-up high impact service packages that will accelerate progress in maternal and newborn child health towards the 2030 Sustainable...
Research briefCatalysing scale-up of maternal and newborn health innovations in Ethiopia
Scaling-up community-based neonatal sepsis management across a large geographical area produced challenges, yet there have also been positive and enabling factors in Ethiopia
Research briefSummary of IDEAS maternal and newborn household and facility surveys in Ethiopia for local health officials
Two page summary of IDEAS household and facility surveys in Ethiopia for local health officials
Journal articleAdding Content to Contacts: Measurement of High Quality Contacts for Maternal and Newborn Health in Ethiopia, North East Nigeria, and Uttar Pradesh, India
Families in high mortality settings need regular contact with high quality health services. This paper presents a method for estimating the population level coverage of high quality contacts.
ReportDissemination activity and impact of maternal and newborn health projects in Ethiopia, India and Nigeria
Report on the dissemination activity and impact of Bill & Melinda Gates Foundation implementation projects.
Journal articleMeasurement of delayed bathing and early initiation of breastfeeding: a cross-sectional survey exploring experiences of data collectors in Ethiopia
This paper recommends that the inclusion of standard probes or follow-on questions to the existing survey tools assessing delayed bathing and early initiation of breastfeeding. Data collectors also require further guidance in using appropriate probes to gather accurate maternal responses.