ArticleBMC medicine2020
ANACONDA: a new tool to improve mortality and cause of death data.
Article in BMC medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Quality of causes of death data in Minnesota from 2011 to 2021 - A descriptive analysis of the usage and correlates of garbage codes.Public health in practice (Oxford, England) · 2026Article
- Development of a New Electronic Death Certificate and Death Management Module Integrated Into the Health Information System of a Tertiary Hospital in Mali: Implementation Report.JMIR medical informatics · 2025Article
- Can verbal autopsies be used on a national scale? Key findings and lessons from South Africa's national cause-of-death validation study.Global health action · 2024Article
- Assessment of the Quality of Cause-of-Death Data in Serbia for 2005-2019 Vital Statistics Performance Index Estimation.Iranian journal of public health · 2024Article
- Postmortem metabolomics as a high-throughput cause-of-death screening tool for human death investigations.iScience · 2024Article
- A Machine Learning-Based Mortality Prediction Model for Patients with Chronic Hepatitis C Infection: An Exploratory Study.Journal of clinical medicine · 2024Article
- Anesthesia decision analysis using a cloud-based big data platform.European journal of medical research · 2024Review
- Territorial gaps on quality of causes of death statistics over the last forty years in Spain.BMC public health · 2024Article
- Comparative performance of national civil registration and vital statistics systems: a global assessment.Bulletin of the World Health Organization · 2023Article
- Assessing the policy utility of routine mortality statistics: a global classification of countries.Bulletin of the World Health Organization · 2023Article
- Road traffic death coding quality in the WHO Mortality Database.Bulletin of the World Health Organization · 2023Article
- Further evidence of misclassification of the injury deaths in South Africa: When will the barriers to accurate injury death statistics be removed?South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde · 2023Article
- Are there sex differences in completeness of death registration and quality of cause of death statistics? Results from a global analysis.BMJ global health · 2021Article
- Improving quality of medical certification of causes of death in health facilities in Tanzania 2014-2019.BMC health services research · 2021Article
- Public health utility of cause of death data: applying empirical algorithms to improve data quality.BMC medical informatics and decision making · 2021Article
- Monitoring progress with national and subnational health goals by integrating verbal autopsy and medically certified cause of death data.BMJ global health · 2021Article
- Improving the Policy Utility of Cause of Death Statistics in Sri Lanka: An Empirical Investigation of Causes of Out-of-Hospital Deaths Using Automated Verbal Autopsy Methods.Frontiers in public health · 2021Article
- Addressing critical knowledge and capacity gaps to sustain CRVS system development.BMC medicine · 2020Article
- Reducing ignorance about who dies of what: research and innovation to strengthen CRVS systems.BMC medicine · 2020Article
- Improving the quality of cause of death data for public health policy: are all 'garbage' codes equally problematic?BMC medicine · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
backgroundThe need to monitor the Sustainable Development Goals (SDGs) and to have access to reliable and timely mortality data has created a strong demand in countries for tools that can assist them in this. ANACONDA (Analysis of National Causes of Death for Action) is a new tool developed for this purpose which allows countries to assess how accurate their mortality and cause of death are. Applying ANACONDA will increase confidence and capacity among data custodians in countries about their mortality data and will give them insight into quality problems that will assist the improvement process.
methodsANACONDA builds on established epidemiological and demographic concepts to operationalise a series of 10 steps and numerous sub-steps to perform data checks. Extensive use is made of comparators to assess the plausibility of national mortality and cause of death statistics. The tool calculates a composite Vital Statistics Performance Index for Quality (VSPI(Q)) to measure how fit for purpose the data are. Extracts from analyses of country data are presented to show the types of outputs.
resultsEach of the 10 steps provides insight into how well the current data is describing different aspects of the mortality situation in the country, e.g. who dies of what, the completeness of the reporting, and the amount and types of unusable cause of death codes. It further identifies the exact codes that should not be used by the certifying physicians and their frequency, which makes it possible to institute a focused correction procedure. Finally, the VSPI(Q) allows periodic monitoring of data quality improvements and identifies priorities for action to strengthen the Civil Registration and Vital Statistics (CRVS) system.
conclusionsANACONDA has demonstrated the potential to dramatically improve knowledge about disease patterns as well as the functioning of CRVS systems and has served as a platform for galvanising wider CRVS reforms in countries.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.