Working with our measurement, learning and evaluation partners and using multidisciplinary research methods, our findings on what works, why and how aimed to close the gap in implementation research on how to get life-saving interventions to families at scale.
In India, our research focussed on:
The Data-Informed Platform for Health (DIPH) aims to strengthen health systems by supporting the use of local data for decision-making, priority-setting and planning at the district health administration level. The DIPH brings together key district-level data on inputs and processes and so facilitates the appraisal of maternal and newborn health services and programmes.
An initial prototype phase was implemented in two districts of West Bengal, India: North 24 Parganas and South 24 Parganas. Experience and lessons from this prototype now forms the basis for ongoing work on the DIPH in Ethiopia.
IDEAS carried out qualitative studies to assess what happens in the long term to donor-funded maternal and newborn health innovations that are scaled-up – and how the Bill & Melinda Gates Foundation and other donors can take steps to foster sustainability.
This work generated important new knowledge on sustaining health programmes in low-income settings, building on previous IDEAS studies of scale-up and the work of other academics supported by the Bill & Melinda Gates Foundation. It responded to the foundation’s commitment to seeing health investments scaled-up in terms of both geography and longer-term legacies.
Journal article‘The stars seem aligned’
A qualitative study of context on scale-up of maternal and newborn health innovations in #Ethiopia #India & #Nigeria https://t.co/OEy3JIZYXL —...
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.
Journal articleDistrict decision-making for health in low-income settings: a qualitative study in Uttar Pradesh, India, on engaging the private health sector in sharing health-related data
An assessment of the extent of maternal, newborn and child health-related data sharing between the private and public sectors in two districts of Uttar Pradesh, India; analysing barriers to data sharing; and identifying the key inputs required.
ReportChanges in maternal and newborn health care in Uttar Pradesh, India
Interactions between families and frontline workers – their frequency, quality, and equity – and coverage of interventions for mothers and newborns in Uttar Pradesh, India
Journal articleLinkages between public and non-government sectors in healthcare: a case study from Uttar Pradesh, India
A study of the links between the public health system and two NGOs in Uttar Pradesh, showing frequent interaction and some reciprocity in information and resource flows, but weak participation in policy and planning.
Blog PostRough roads and rivers: getting institutional delivery services to women in rural West Bengal
“The greatest success of the Community Delivery Centres has been the decline in home births” – quote from Community Delivery Centre doctor...
ReportImplementation pathway report: Uttar Pradesh Technical Support Unit, India, June 2015
The Uttar Pradesh Technical Support Unit was established to provide the Government of Uttar Pradesh with technical assistance in order to improve reproductive, maternal, neonatal, child and adolescent health coverage and outcomes.
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.