19.8 Data Quality Assurance (DQA)

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Data Quality Assurance (DQA) is defined as efforts or activities aimed at ensuring that reported data and results accurately reflect the actual health system outputs. This is a pre-reporting tool. The DQA team intends to look the reliability, validity, accuracy, completeness and timeliness of the data.

For example, the number of all form TB Case reported accurately reflects the actual number of TB cases detected in specific period of time in specific facility. Examples of data quality assurance activities are accuracy checks, capacity building of persons responsible for data recording and indicator compilation, and data quality performance indicator monitoring (e.g. accuracy, timeliness and completeness of reporting).

The purpose of a DQA is to ensure that the National Tuberculosis Program (NTP) is aware of the strengths and weaknesses of the data they obtain about project and program performance, as determined by reviewing actual data on indicators against validity, integrity, precision, reliability and timeliness.