ANACONDA: a new tool to improve mortality and cause of death data

被引:27
|
作者
Mikkelsen, Lene [1 ]
Moesgaard, Kim [2 ]
Hegnauer, Michael [3 ]
Lopez, Alan D. [1 ]
机构
[1] Univ Melbourne, Melbourne Sch Populat & Global Hlth, Carlton, Vic 3053, Australia
[2] Aarhus Univ, Inst Publ Hlth, Aarhus, Denmark
[3] Univ Basel, Swiss Trop & Publ Hlth Inst, Basel, Switzerland
关键词
ANACONDA; Cause of death; Data; Mortality; Policy; Statistics; Quality; CIVIL REGISTRATION; STATISTICS; COUNT;
D O I
10.1186/s12916-020-01521-0
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: The 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. Methods: ANACONDA 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. Results: Each 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. Conclusions: ANACONDA 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.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Mortality by cause of death and marital status in Spain
    Burgoa, M
    Regidor, E
    Rodriguez, C
    Gutierrez-Fisac, JL
    EUROPEAN JOURNAL OF PUBLIC HEALTH, 1998, 8 (01): : 37 - 42
  • [42] Modelling cause-of-death mortality and the impact of cause-elimination
    Alai, Daniel H.
    Arnold , Severine
    Sherris, Michael
    ANNALS OF ACTUARIAL SCIENCE, 2015, 9 (01) : 167 - 186
  • [43] The Cause-Deleted Index: Estimating Cause of Death Contributions to Mortality
    Stewart, Quincy Thomas
    MATHEMATICAL POPULATION STUDIES, 2011, 18 (04) : 234 - 257
  • [44] Visual data: a new tool to improve the presentation of clinical trial results
    Ritti-Dias, Raphael Mendes
    Correia, Marilia de Almeida
    Farah, Breno Quintella
    EINSTEIN-SAO PAULO, 2020, 18 : eAE4729
  • [45] ASVmaker: A New Tool to Improve Taxonomic Identifications for Amplicon Sequencing Data
    Plessis, Clement
    Jeanne, Thomas
    Dionne, Antoine
    Vivancos, Julien
    Droit, Arnaud
    Hogue, Richard
    PLANTS-BASEL, 2023, 12 (21):
  • [46] DIFFERENCE IN CAUSE OF DEATH BETWEEN DEATH CERTIFICATE AND DERI MORTALITY CLASSIFICATION
    MATSUSHIMA, M
    MARUYAMA, M
    TAJIMA, N
    DIABETES, 1995, 44 : A227 - A227
  • [47] TEMPORAL TRENDS IN UNITED-STATES MULTIPLE CAUSE OF DEATH MORTALITY DATA - 1968 TO 1977
    MANTON, KG
    STALLARD, E
    DEMOGRAPHY, 1982, 19 (04) : 527 - 547
  • [49] Forecasting Mortality Trends Allowing for Cause-of-Death Mortality Dependence
    Arnold , Severine
    Sherris, Michael
    NORTH AMERICAN ACTUARIAL JOURNAL, 2013, 17 (04) : 273 - 282
  • [50] Cause of Death and Predictors of All-Cause Mortality in Anticoagulated Patients With Nonvalvular Atrial Fibrillation: Data From ROCKET AF
    Pokorney, Sean D.
    Piccini, Jonathan P.
    Stevens, Susanna R.
    Patel, Manesh R.
    Pieper, Karen S.
    Halperin, Jonathan L.
    Breithardt, Gunter
    Singer, Daniel E.
    Hankey, Graeme J.
    Hacke, Werner
    Becker, Richard C.
    Berkowitz, Scott D.
    Nessel, Christopher C.
    Mahaffey, Kenneth W.
    Fox, Keith A. A.
    Califf, Robert M.
    JOURNAL OF THE AMERICAN HEART ASSOCIATION, 2016, 5 (03):