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 supports district health decision-making through the scale-up to the state level of the Data-Informed Platform for Health (DIPH) – a structured method combining a toolkit with facilitated discussions and action planning.

IDEAS is using an action-research approach to adapt, implement and evaluate the Data-Informed Platform for Health for the Ethiopian context, following the experience of a prototype phase in the state of West Bengal in India.

Published content

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...