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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 Gombe State, Nigeria, IDEAS uses a results framework with six-monthly data-driven learning workshops to support the Gombe State Primary Health Care Development Agency and the Bill & Melinda Gates Foundation implementation projects.

In West Bengal, India, IDEAS supported district health decision-making through a prototype phase of the Data-Informed Platform for Health (DIPH) – 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.

IDEAS is using an action-research approach to adapt, implement and evaluate the Data-Informed Platform for Health for the Ethiopian context.

Published content

Report
DIPH Monitoring Report – North 24 Parganas, West Bengal – Cycle 1: January – April 2016

This report is from the first of three cycles of evaluation reports from the prototype phase of DIPH in three health districts in West Bengal: North 24 Parganas, South 24 Parganas and Diamond Harbour.

Report
DIPH Monitoring Report – South 24 Parganas, West Bengal – Cycle 1: February – July 2016

This report is from the first of three cycles of evaluation reports from the prototype phase of DIPH in three health districts in West Bengal: South 24 Parganas, North 24 Parganas and Diamond Harbour.

Report
DIPH Monitoring Report – Diamond Harbour, West Bengal – Cycle 1: March – June 2016

This report is from the first of three cycles of evaluation reports from the prototype phase of DIPH in three health districts in West Bengal: Diamond Harbour, South 24 Parganas and North 24 Parganas.

Research brief
Introducing the Data-Informed Platform for Health

What is a Data-Informed Platform for Health? In low-resource settings the use of local data for health system planning and decision-making...

Journal article
Commentary-District decision-making to strengthen maternal, newborn and child health services in low-income settings

Commentary to accompany a series of four papers on the use of data for district decision-making for health in low-income settings, published in Health Policy and Planning.

Journal article
District 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.