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.
Immunization coverage is the fraction of a certain target population that is vaccinated with a defined number of doses for a certain antigen or vaccine, expressed as a percentage. Coverage is the most direct measure of program performance.
The exercises in this booklet are part of a package of materials used to develop skills in using routine facility data for by HIV programme managers at national and sub-national unit (SNU) level.
The exercises in this guide are aimed to help leaners on the collation, processing, analysis and interpretation of DHIS2 data and triangulation with other data sources.
The overall goal of this guidance document is to extend existing guidance in the 2015 WHO consolidated HIV strategic information guidelines familiarize HIV and HMIS programme managers with the tremendous potential of using standard dashboards to routinely analyse and use programme data to more effectively monitor and manage HIV programs.
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.
The problem addressed in this systematic review is concerned with the broad domain of information systems (IS) for Civil Registration and Vital Statistics (CRVS), and how they have been influenced, or have the potential to be influenced, by information and communication technology (ICT)-based interventions.
Within the domain of public health, information obtained from civil registration and vital statistics (CRVS) is critical, allowing tracking of individual births and building profiles of mortality and causes of death. These data play a fundamental role in planning and monitoring public health outcomes, as well as a broad range of outcomes in other policy domains.