Meaningful analysis of health facility data requires insights into the quality of the data; yet the quality of Routine Health Information Systems (RHIS) data is an ongoing challenge in many contexts. 

WHO has produced the Data Quality Assurance (DQA) toolkit to support countries in assessing and improving the quality of RHIS data. The DQA toolkit includes an application for use in the DHIS2 for routine data quality checks and for annual data quality desk review. New data quality assurance resources targeting district-level users are currently pending publication. For countries that do not use DHIS2, Excel and CSPro tools are available together with training materials. 

Sound decisions are based on sound data. It is therefore essential to ensure that facility data are of good quality. The DQR toolkit offers a multi-pronged approach that ensures a comprehensive and holistic review of health facility data quality. The DQR framework and toolkit is meant to support routine annual and periodic, independent assessments of facility-reported data. The toolkit includes guidelines and associated tools organized into three distinct modules.