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What is CRVS and why does every country need it?
Introduction

Why do CRVS systems underperform?
Global CRVS systems

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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 ).  

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Guidance for assessing and interpreting the quality of mortality data using ANACONDA
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).

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More Info

Authors: Mikkelsen L, Lopez AD

Publication date: October 2017

Resource type: CRVS resources and tools

Related resources: Course prospectus: ANACONDA

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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.

Open video
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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.

Open video

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