What can be done to rapidly improve CRVS systems?
Tool for the analysis of statistics on mortality and causes of death: ANACONDA
Most countries collect large volumes of data from their civil registration system and from health facilities. For these data to be used for policy and planning they need to be of reliable quality. The ANACONDA tool is intended to check the quality of the data and facilitate the analysis and interpretation of mortality and cause of death data emanating from the CRVS system or from health facilities. The tool performs the calculations needed for a comprehensive data quality review, and automatically generates the associated figures and summary tables from which a data quality assessment report can be written (see Tabulation and generation of vital statistics for national policy).
Guidance for assessing and interpreting the quality of mortality data using ANACONDA
For users of ANACONDA (statisticians and/or analysts in health and statistics departments, researchers, or other experts working with mortality data).
Authors: Mikkelsen L, Lopez AD
Publication date: October 2017
Resource type: CRVS technical guide
Related resources: Course prospectus: ANACONDA
O que é ANACONDA? Uma perspectiva brasileira / What is ANACONDA? A Brazilian perspective
The D4H team at the University of Melbourne spoke to the Brazilian ANACONDA trainer and statistician for the Ministry of Health, Ana Claúdia Medeiros de Souza, about initial feedback of the ANACONDA tool in October 2017.
What are people dying of in Greenland and why?
Greenland's cause of death data have only recently been separated from Denmark in the Global Burden of Disease Study. University of Melbourne Data for Health Initiative visiting academic Kim Moesgaard Iburg is Associate Professor at Aarhus University in Denmark, he is studying how the quality of these data can be improved to further benefit the direction of health policy in the country.