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India

IDEAS made use of multidisciplinary research methods to provide a rich source of data for funders, governments and non-governmental organisations working in maternal and newborn health in India.

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:

Supporting local decision-making 

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.

Fostering innovation sustainability

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.

Published content

News
External evaluation report of the DIPH prototype phase

The evaluation aimed to understand the mechanisms and processes of the DIPH strategy for inter-sectoral data sharing and data-informed...

Report
External Evaluation Report – DIPH Prototype Phase

The prototype phase pilot-tested the DIPH strategy and job-aids by bringing together key district-level data on inputs and processes from...

Journal article
Contextual factors in maternal and newborn health evaluation: a protocol applied in Nigeria, India and Ethiopia

We define “context” as the background environment or setting of any program, and “contextual factors”as those elements of context that...

Blog Post
Improving Quality of Care is the Most Powerful Means to End Preventable Maternal Deaths

Cross-posted from the Maternal Health Task Force blog
Written by: Pompy Sridhar, India Director, MSD for Mothers   Our entire maternal health...

Blog Post
Your guide to the Data-Informed Platform for Health

In low-resource settings the use of local data for health system planning and decision-making is often limited. What data there is may be of...