Good quality data is essential for making evidence-based decisions when managing health programs. Assessing and improving overall data quality on a health system goes beyond implementing data collection validations. Ongoing assessment are necessary to ensure that collected data is within expected ranges and that the data flows between different paper forms and systems is timely and accurate.
When necessary, corrective measures in the form of action plans, capacity building and other activities should be recommended and implemented to improve data quality.