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Improving the quality of cause of death data for public health policy: are all 'garbage' codes equally problematic?

作者信息

Naghavi Mohsen, Richards Nicola, Chowdhury Hafiz, Eynstone-Hinkins James, Franca Elisabeth, Hegnauer Michael, Khosravi Ardeshir, Moran Lauren, Mikkelsen Lene, Lopez Alan D

机构信息

Institute of Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Seattle, WA, 98121, USA.

Melbourne School of Population and Global Health, University of Melbourne, 207 Bouverie Street, Carlton, VIC, 3053, Australia.

出版信息

BMC Med. 2020 Mar 9;18(1):55. doi: 10.1186/s12916-020-01525-w.

DOI:10.1186/s12916-020-01525-w
PMID:32146899
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7061466/
Abstract
摘要

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本文引用的文献

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ANACONDA: a new tool to improve mortality and cause of death data.ANACONDA：一个改进死亡率和死因数据的新工具。
BMC Med. 2020 Mar 9;18(1):61. doi: 10.1186/s12916-020-01521-0.
2
Systematic review of statistics on causes of deaths in hospitals: strengthening the evidence for policy-makers.医院死亡原因统计的系统评价：加强为政策制定者提供的证据
Bull World Health Organ. 2014 Nov 1;92(11):807-16. doi: 10.2471/BLT.14.137935. Epub 2014 Sep 16.
3
Assessing the reliability of causes of death reported by the Vital Registration System in Sri Lanka: medical records review in Colombo.评估斯里兰卡生命登记系统报告的死因的可靠性：科伦坡的病历回顾。
Health Inf Manag. 2013;42(3):20-8. doi: 10.1177/183335831304200302.
4
Improving the public health utility of global cardiovascular mortality data: the rise of ischemic heart disease.提高全球心血管死亡率数据的公共卫生效用：缺血性心脏病的兴起。
Popul Health Metr. 2011 Mar 15;9:8. doi: 10.1186/1478-7954-9-8.
5
Cause-specific mortality patterns among hospital deaths in Thailand: validating routine death certification.泰国医院死亡病例的病因特异性死亡模式：常规死亡证明的验证。
Popul Health Metr. 2010 May 18;8:12. doi: 10.1186/1478-7954-8-12.
6
Algorithms for enhancing public health utility of national causes-of-death data.用于提高国家死因数据公共卫生效用的算法。
Popul Health Metr. 2010 May 10;8:9. doi: 10.1186/1478-7954-8-9.
7
Impact of misclassification on measures of cardiovascular disease mortality in the Islamic Republic of Iran: a cross-sectional study.错误分类对伊朗伊斯兰共和国心血管疾病死亡率测量的影响：一项横断面研究。
Bull World Health Organ. 2008 Sep;86(9):688-96. doi: 10.2471/blt.07.046532.