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

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...

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...

News
Vacancy at IDEAS

The selected candidate will work in close collaboration with the IDEAS Ethiopia country team and multidisciplinary stakeholders to coordinate and...

News
Filling the gaps – supporting excellence in Ethiopian research

The in-service training for thirty EPHI staff, with participants from each directorate, organised by the Health System & Reproductive Health...

News
Strengthening the measurement of key health indicators in Ethiopia

Like many other countries, Ethiopia has gaps in their Health Management Information System (HMIS), as well as insufficient mechanisms for data...

Blog Post
Better quality routine health data through a WhatsApp group? What comes out of the Data Quality Workshops in Gombe State

To strengthen the quality of routine maternal and newborn health data in Gombe State in 2017 the IDEAS project initiated a total of four data...