Algorithms for enhancing public health utility of national causes-of-death data.
Algorithms for enhancing public health utility of national causes-of-death data.
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DOI：
10.1186/1478-7954-8-9
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发表时间：
2010-05-10
影响因子：
3.3
通讯作者：
Lozano R
中科院分区：
文献类型：
--
作者：
Naghavi M;Makela S;Foreman K;O'Brien J;Pourmalek F;Lozano R
死亡原因（CoD）数据的覆盖范围和质量因国家和时间而异。即使是最好的系统，对死因趋势的有效、可靠和可比的评估也受到三个问题的限制：a）《国际疾病和相关健康问题统计分类》（ICD）随着时间的推移而发生变化; B）使用表格列表，其中丢失了大量死因细节;和c）许多死亡归因于不能或不应被视为潜在死亡原因的原因，通常称为垃圾代码（GC）。全球疾病负担研究和世界卫生组织开发了各种方法来提高疾病负担数据的可比性。在这项研究中，我们试图建立在这些方法，以提高公共卫生分析的国家死因数据的效用。基于对1901年至2008年来自145个国家的4，434个国家年的CoD数据的仔细考虑，包括ICD版本1至10中的7.43亿例死亡以及国家特定原因列表，我们制定了一个面向公共卫生的死亡原因列表。这56个原因按等级组织，涵盖所有死亡。每种原因都从ICD-6映射到ICD-10，并在可能的情况下映射到国际死亡原因清单1-5。我们开发了不同类别的GC的类型学。在每一次ICD修订中，都确定了GC。根据认证实践和/或病理生理学，确定了这些GC应重新分配的目标原因。已开发出按比例重新分配、统计模型和专家算法，以将GC重新分配到每个年龄-性别组的目标代码。所有死亡中分配到GC的比例在各国和ICD修订版之间差异很大。总的来说，在所有可用的国家年数据中，GC从ICD-7的43%以上下降到ICD-10的24%。在某些区域，如澳大拉西亚，2005年的全球总产值低至11%，而在某些发展中国家，如泰国，全球总产值超过50%。在不同的年龄组中，GC的组成变化很大-三类GC随着年龄的增长而稳步增加，但特定疾病章节中的模糊代码也常见于年轻人的伤害。重新分配的影响是改变特定年龄-性别组的特定原因死亡人数。这些变化改变了任何一年的国家之间的排名，改变了时间趋势，改变了一个国家内部原因的排名顺序。通过通过不同ICD版本绘制CoD并重新分配GC，我们相信CoD数据的公共卫生效用可以大大增强，从而导致卫生部门决策者对更高质量CoD数据的需求增加。
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. 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 been identified based on certification practice and/or pathophysiology. Proportionate redistribution, statistical models, and expert algorithms have been developed to redistribute GCs to target codes for each age-sex group. The fraction of all deaths assigned to GCs varies tremendously across countries and revisions of the ICD. In general, across all country-years of data available, GCs have declined from more than 43% in ICD-7 to 24% in ICD-10. In some regions, such as Australasia, GCs in 2005 are as low as 11%, while in some developing countries, such as Thailand, they are greater than 50%. Across different age groups, the composition of GCs varies tremendously - three classes of GCs steadily increase with age, but ambiguous codes within a particular disease chapter are also common for injuries at younger ages. The impact of redistribution is to change the number of deaths assigned to particular causes for a given age-sex group. These changes alter ranks across countries for any given year by a number of different causes, change time trends, and alter the rank order of causes within a country. By mapping CoD through different ICD versions and redistributing GCs, we believe the public health utility of CoD data can be substantially enhanced, leading to an increased demand for higher quality CoD data from health sector decision-makers.
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DOI：
10.1016/s0140-6736(07)60415-2
发表时间：
2007-03-10
期刊：
Lancet (London, England)
影响因子：
--
作者：
Murray CJ
通讯作者：
Murray CJ
DOI：
10.1016/s0368-2315(04)96550-7
发表时间：
2004-09-01
期刊：
Journal de gynecologie, obstetrique et biologie de la reproduction
影响因子：
--
作者：
Bouvier-Colle, M-H;Deneux, C;Jougla, E
通讯作者：
Jougla, E
影响因子：
3.8
作者：
Mesle, France;Vallin, Jacques
通讯作者：
Vallin, Jacques
影响因子：
7.2
作者：
BURNAND, B;FEINSTEIN, AR
通讯作者：
FEINSTEIN, AR
影响因子：
168.9
作者：
AbouZahr, Carla;Adjei, Sam;Kanchanachitra, Churnrurtai
通讯作者：
Kanchanachitra, Churnrurtai