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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.

Report
Data Informed Platform for Health – training handbook

It also elaborates on the operationalisation and cyclical implementation of the Data-Informed Platform for Health at the district level. The target audience for this handbook are district health officers, both in administrative and managerial roles within the health systems. Part A of the handbook covers the four core...

Ethiopia General Supporting local decision-making Local data use
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 is often limited. What data there is may be of poor quality and a data sharing culture is lacking. Health administrators often have limited capacity to analyse and use data for...

India Supporting local decision-making Capacity strengthening Local data use

Published content

News
Improved health systems could prevent over 8 million deaths each year in low- and middle-income countries

Beyond this terrible human cost, poor quality health systems represented enormous economic losses to countries due to lost productivity each year....

General Fostering innovation sustainability Improving coverage measurement Supporting local decision-making Tracking progress Understanding quality improvement Evaluation methods Research findings
News
IDEAS Summer Seminar Series

More than seven years later, the team is building on the wealth of data, results, partnerships and learning created in the current second phase of...

Ethiopia General India Nigeria Community-based newborn care Fostering innovation sustainability Improving coverage measurement Supporting local decision-making Tracking progress Understanding quality improvement Research findings
Research brief
Data-driven learning cycles and their impact on data use for decision making

The implementation partners are The Society for Family Health, SAQIP through a grant to PACT Nigeria and Evidence for Action through a...

Nigeria Supporting local decision-making Capacity strengthening Evidence for policy and practice Local data use Research findings
News
Introducing the Data Informed Platform for Health (DIPH) in Ethiopia

The Data Informed Platform for Health (DIPH) is a decision-making support system which facilitates review and use of data in local level...

Ethiopia India Supporting local decision-making Local data use
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...

General India Supporting local decision-making Local data use Research findings Scale-up
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...

General India Supporting local decision-making Evidence for policy and practice Local data use Research findings Scale-up
News
Vacancy at IDEAS

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

Ethiopia Supporting local decision-making Evidence for policy and practice Local data use
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...

Ethiopia Improving coverage measurement Supporting local decision-making Capacity strengthening Local data use
Blog Post
Slow and steady – validating health data in Gombe State line by line

As an output from our first data quality learning workshop in March 2017, LGA M&E officers and MNCH coordinators were excited about revitalizing...

Nigeria Improving coverage measurement Supporting local decision-making Tracking progress Understanding quality improvement Evidence for policy and practice Local data use
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