Medical certificate cause of death (MCCD) data is an important source of information for public health monitoring, priority setting, and planning. The completeness and accuracy of data on the cause of death affect the value of the policies adopted.. This study aims to obtain a strategy to improve the quality of data on MCCD. We used DKI Jakarta province mortality surveillance data, which was collected from health facilities. The death cases from 2016 to 2019 and the deceased who lived in the DKI Jakarta area were selected. The Analysis of National Causes of Death for Action (ANACONDA) software  5.0  was used to determine the quality of the cause of death data.

Results: The number of Health Facilities sending data from 2016 to 2019 has increased. Annual percentages Garbage Code (GC) tend not to change (more than 50%). GC in categories 3, 5, and 1 tend to be stable with an annual average of 34%, 26%, and 21%. Meanwhile, Category 4 tends to increase though it is small (from 5.7 to 14.4%). Based on the potential impact that GC causes in guiding or misguiding public policy to prevent, more than 60% is identified as being in the very high-level category.

Conclusion: Identifying the accuracy of cause of death data was needed to make the right strategy for improving the quality of data.

Keywords 

Quality data, Cause of Death, Garbage Code, DKI Jakarta, Indonesia.