DHIS2 In Action

DHIS2 is an open source, web-based software platform for data collection, management, and analysis. Today, DHIS2 is the world's largest Health Information Management System (HMIS) platform, in use by ministries of health in 73 low and middle-income countries, including national-scale deployments in 60 countries (+14 Indian states implementing at full scale and 8 at pilot scale) and pilot programs in 13 countries. 2.4 billion people live in countries where DHIS2 is used (30% of the worlds population). With inclusion of NGO-based programs, DHIS2 is in use in more than 100 countries.
The following interactive map shows use of DHIS2 around the world. Click on the items in the sidebar on the left to see the geographical scope of different DHIS2 implementations and applications, including HMIS implementations, DHIS2 for COVID-19 Surveillance, use of Tracker for collecting individual-level data, deployment of the Android app for mobile data entry and review, use of standardized WHO digital data packages, and DHIS2 as an education management information system. In each view, click on the highlighted countries for more information about their implementations.

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Harmonising systems to improve malaria data quality in Burkina Faso

DHIS2 increased malaria data accuracy, timeliness, completeness and reliability, and built a stronger national HMIS in Burkina Faso

Burkina Faso has a health information management system (HMIS), but also runs a parallel system developed by the National Malaria Control Program to capture malaria data. This can create the need for up to 16 reports per month to be filled out by providers who draw from data from the same registers and often the reported items were the same. The malaria data quality assessment (DQA) 2014 showed inaccuracy of data for key indicators and low levels of timeliness, completeness and reliability. To address this concern, this malaria data was integrated into DHIS2. The process of integration included: selection of key malaria indicators, revision of data collection and reporting tools, definition of validation rules and data elements, creation of malaria window and data tables in DHIS2, and data managers training. Harmonising malaria data with the HMIS using DHIS2 improved data quality and created a stronger HMIS capable of recording timely disease information. DQA 2017 showed a significant increase in data accuracy from 43% to 83%, data timeliness from 62% to 80%, the data completeness from 64% to 78%, data reliability from 67% to 87%.

Poster: Benefits and challenges of building a strong national HMIS using DHIS2: Case of Burkina Faso malaria data collection system Photo credit: jphiego