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.
Transmission of malaria involves a complex interaction of five major epidemiological factors: parasite, vectors, human, environment and intervention. Consequently, the intensity of malaria is heterogeneous in space and time and its characteristics in one place may not be representative of that in a different, even nearby place, depending on the variability of the underlying determinants.
Accurate and timely data are needed for countries to assess the state of a population’s health, to establish priorities and to track progress towards goals and objectives, including the Sustainable Development Goals (SDGs) and Universal Health Coverage (UHC).
This module is relevant for different members of the health workforce including: (1) Policymakers and managers at different levels of the health system; (2) Monitoring and evaluation staff and analysts at different levels of the health system; (3) Trainers/facilitators who will support in-country training.
A methodology for measuring health systems strengthening.
This toolkit (also available at http://www.who.int/healthinfo/tools_data_analysis_routine_facility/en/) is a set of resources to optimize the analysis and use of data collected through routine health facility information systems, also known as health management information systems (HMIS). The comprehensive toolkit includes a series of integrated modules, which can be used individually or together, according to country needs. The toolkit includes the Data Quality Review Framework (https://www.who.int/healthinfo/tools_data_analysis/en/), which is also the basis for a related tool available via the DHIS2 AppStore: https://play.dhis2.org/appstore/app/rFDeB5LLQmi