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.
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.
ReportDIPH 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...
Research briefIntroducing 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...
NewsBringing 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 PostNew 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...
Blog PostGates “myths” strike a chord for IDEAS
“By 2035, there will be almost no poor countries left in the world” Bill Gates, Annual Letter 2014, p 7 Bill Gates is a...
Research briefA 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.
ReportEngaging 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.