Algorithms for enhancing public health utility of national causes-of-death data

作者：Mohsen Naghavi, Susanna Makela, Kyle J Foreman, Janaki O'Brien, Farshad Pourmalek, Rafael Lozano · 发表于：Population Health Metrics · 年份：2010 · DOI：10.1186/1478-7954-8-9 · 被引用次数：459 · 研究领域：Autopsy Techniques and Outcomes、Data-Driven Disease Surveillance、Medical Coding and Health Information

BACKGROUND: Coverage and quality of cause-of-death (CoD) data varies across countries and time. Valid, reliable, and comparable assessments of trends in causes of death from even the best systems are limited by three problems: a) changes in the International Statistical Classification of Diseases and Related Health Problems (ICD) over time; b) the use of tabulation lists where substantial detail on causes of death is lost; and c) many deaths assigned to causes that cannot or should not be considered underlying causes of death, often called garbage codes (GCs). The Global Burden of Disease Study and the World Health Organization have developed various methods to enhance comparability of CoD data. In this study, we attempt to build on these approaches to enhance the utility of national cause-of-death data for public health analysis. METHODS: Based on careful consideration of 4,434 country-years of CoD data from 145 countries from 1901 to 2008, encompassing 743 million deaths in ICD versions 1 to 10 as well as country-specific cause lists, we have developed a public health-oriented cause-of-death list. These 56 causes are organized hierarchically and encompass all deaths. Each cause has been mapped from ICD-6 to ICD-10 and, where possible, they have also been mapped to the International List of Causes of Death 1-5. We developed a typology of different classes of GCs. In each ICD revision, GCs have been identified. Target causes to which these GCs should be redistributed have bee...