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Supporting local decision-making

Many countries have identified primary health care as an urgent priority, but they lack the data needed to pinpoint weaknesses, understand the causes of weakness and drive improvements.

Better data is essential to improve health outcomes, yet routinely available data for the monitoring of progress are often of low quality. Even where rich data sources are available, there can be limited capacity to synthesise, interpret and learn from the data.

IDEAS works to support local decision-making in Nigeria, Ethiopia and India.

In Nigeria, IDEAS has worked with the Gombe State Primary Health Care Development Agency and partners to implement six-monthly Data-driven Learning Workshops designed to continuously examine progress and promote data-informed decision making.

In Ethiopia, building on lessons learned during a prototype phase in West Bengal, India, IDEAS implements the Data-Informed Platform for Health (DIPH). – The DIPH is a structured method combining a toolkit with facilitated discussions and action planning. This involves a five-step cycle running every 3-4 months at district level. Standardized job-aids facilitate linking of input and process data from health and other sectors onto a common data-sharing platform. Government and non-government stakeholders analyse the data, identify challenges and gaps and agree on measures to be taken to resolve issues.

Published content

Past event
We’re going to the Global Maternal Newborn Health Conference 2015

IDEAS will be presenting on using local data for decision making to improve maternal and newborn health and getting innovations to reach more...

Blog Post
Rough 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...

Bringing together district-level data for better maternal and newborn health decisions in West Bengal, India

The DIPH will enable district health stakeholders – local government departments, non-governmental organisations (NGOs) and private health...

Blog Post
New hope for newborns

This number of newborn deaths is due to three main causes: preterm birth complications (1.0 million), childbirth-related conditions (0.7...

Research brief
A content analysis of district level health data in Uttar Pradesh, India

A content analysis of the different types of public health data maintained by the Health Department, the Department of Women and Child Development, and the private for profit and not for profit health sectors and the links that exist between them in terms of data sharing.

Engaging the public & private sectors in data sharing to improve maternal and newborn health in Uttar Pradesh, India

The private for-profit health sector in India delivers around 80% of outpatient treatment and 60% of hospitalisations, and includes more than three quarters of human resources for health. Limited information is shared with public health information systems.