Through its working groups, the Health Data Collaborative will produce numerous tools, such as data standards, measurement methods, health indicators and other resources that will support countries to collect, analyse and use more accurate and reliable health data.
Around the world, countries are faced with collecting data for numerous different donors using different methods and indicators. The tools we produce will help to harmonise those methods, easing the administrative burden on countries and ensuring they have better data, for better decisions, and better health.
We’re developing a one-stop shop for health information system standards that will include:
The declaration from more than 600 health leaders at the 2015 Summit on Measurement and Accountability for Health, describing priority actions and targets for smarter investments and stronger capacities for health data.
A standard set of 100 indicators prioritized by the global community to provide concise information on the health situation and trends, including responses at national and global levels.
A technical package to strengthen country health data for universal health coverage and the health-related SDGs.
The Master Facility List (MFL) Resource Package was developed to guide countries through the process of establishing or strengthening their MFL. The MFL Resource Package describes the various elements that must be in place to have a functional MFL including a governance structure; a comprehensive, up-to-date facility list; and a software platform to house and share the MFL data.
Recent substantial increases in international funding for health have been accompanied by greater demands for statistics that accurately track real-time progress and performance in health, and ensure accountability at country and global levels.
A strong health information system (HIS) that produces reliable, timely, and good-quality data is among several factors enabling health program managers to monitor, evaluate, and improve health system performance and make evidence-informed decisions.
Strong health information systems that produce reliable, timely, and good-quality data are among several factors enabling health program managers to monitor, evaluate, and improve health system performance and make evidence-informed decisions.
This module describes a core set of indicators for Reproductive, Maternal, Newborn, Child and Adolescent Health (RMNCAH) that can be captured through routine health management information systems (HMIS).
Module 3: Guidance for tuberculosis programme managers. Notifications (numbers and rates).
This module provides guidance on the analysis and use of routine tuberculosis surveillance data collected at the facility level. The module reviews core facility indicators and analysis, provides suggestions for questions on data quality as well as considerations and limitations for using the data and analysis.
This exercise book has been developed by the World Health Organization, with the support of grants from Bloomberg Philanthropies Data for Health Initiative, Gavi, the Vaccine Alliance, The Global Fund to Fight AIDS, Tuberculosis and Malaria, and The Norwegian Agency for Development Cooperation.
This module provides guidance on the analysis and use of routine malaria data collected at the facility level. The module reviews core facility indicators and analysis, provides suggestions for questions on data quality as well as considerations and limitations for using the data and analysis.