Informed decisions for actions in maternal and newborn health

Data Driven Action

Data Driven Action

17 October 2016
Data-driven course correction for maternal and newborn health programmes

When measuring change in targeted outcomes it is also important for implementation planning and resource allocation to understand why changes do – or do not – occur

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Research from Phase I of IDEAS (2010-2016) focused on whether and how interactions between families and frontline workers had been enhanced in areas where implementation was taking place, and whether the coverage of life-saving interventions and behaviours had increased as a result.

Data Driven Action

Frequent high-quality contacts between families and frontline workers are critical to ensuring that every woman and every child receive the interventions they need. Between 2012 and 2015 some positive changes were observed, yet the demand for health care was not equal across the continuum from pregnancy to postnatal periods, and important gaps were present in the quality of care being provided. Exploring the mechanisms of change revealed issues around equity, motivation and social norms as key to achieving positive change.

In Phase II of IDEAS (2016-2020) the project will continue to support the Bill & Melinda Gates Foundation and its partners – including government actors. Progress in maternal and newborn health in communities and health facilities will be measured and tracked in Ethiopia, India and northeastern Nigeria, and the motivation for health workers to improve quality explored.


Essential Readings 

Change in maternal and newborn health care in Gombe State, Nigeria, 2012-2015.  Interactions between families and frontline workers – their frequency, quality and equity – and coverage of interventions for mothers and newborns

Adding Content to Contacts: Measurement of High Quality Contacts for Maternal and Newborn Health in Ethiopia, North East Nigeria, and Uttar Pradesh, India

A qualitative study exploring newborn care behaviours after home births in rural Ethiopia: implications for adoption of essential interventions for saving newborn lives

Improved measurement for mothers, newborns and children in the era of the Sustainable Development Goals

[Podcast] Why is data so vital for maternal, newborn and child health?


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