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减少对谁因何死亡的无知:加强人口动态监测系统的研究与创新。

Reducing ignorance about who dies of what: research and innovation to strengthen CRVS systems.

机构信息

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

出版信息

BMC Med. 2020 Mar 9;18(1):58. doi: 10.1186/s12916-020-01526-9.

DOI:10.1186/s12916-020-01526-9
PMID:32146906
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7061482/
Abstract

The Sustainable Development Goal (SDG) agenda offers a major impetus to consolidate and accelerate development in civil registration and vital statistics (CRVS) systems. Strengthening CRVS systems is an SDG outcome in itself. Moreover, CRVS systems are the best - if not essential - source of data to monitor and guide health policy debates and to assess progress towards numerous SDG targets and indicators. They also provide the necessary documentation and proof of identity for service access and are critical for disaster preparedness and response. While there has been impressive global momentum to improve CRVS systems over the past decade, several challenges remain. This article collection provides an overview of recent innovations, progress, viewpoints and key areas in which action is still required - notably around the need for better systems and procedures to notify the fact of death and to reliably diagnose its cause, both for deaths in hospital and elsewhere.

摘要

可持续发展目标(SDG)议程为巩固和加速民事登记和人口动态统计系统(CRVS)的发展提供了重要动力。加强 CRVS 系统本身就是 SDG 的一个成果。此外,CRVS 系统是监测和指导卫生政策辩论以及评估实现众多 SDG 目标和指标进展情况的最佳(如果不是必要的)数据来源。它们还为获取服务提供必要的身份文件和证明,对于备灾和应对灾害至关重要。尽管过去十年全球在改善 CRVS 系统方面取得了令人瞩目的进展,但仍存在一些挑战。本文集概述了最近的创新、进展、观点以及仍需采取行动的关键领域,特别是需要更好的系统和程序来通知死亡事实,并可靠地诊断死亡原因,包括医院内和其他地方的死亡。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd2/7061482/b6d280d40c44/12916_2020_1526_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd2/7061482/b6d280d40c44/12916_2020_1526_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7dd2/7061482/b6d280d40c44/12916_2020_1526_Fig1_HTML.jpg

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Reducing ignorance about who dies of what: research and innovation to strengthen CRVS systems.减少对谁因何死亡的无知:加强人口动态监测系统的研究与创新。
BMC Med. 2020 Mar 9;18(1):58. doi: 10.1186/s12916-020-01526-9.
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Better data for better outcomes: the importance of process mapping and management in CRVS systems.更好的数据,更好的结果:过程映射和管理在人口动态统计系统中的重要性。
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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
Where there is no hospital: improving the notification of community deaths.无医院地区:改善社区死亡通报。
BMC Med. 2020 Mar 9;18(1):65. doi: 10.1186/s12916-020-01524-x.
3
Automated verbal autopsy: from research to routine use in civil registration and vital statistics systems.自动死因推断:从研究到在民事登记和生命统计系统中的常规使用。
与教育相关的某些因素可能是理解美国困境的关键所在。
Am J Public Health. 2023 Sep;113(9):964-966. doi: 10.2105/AJPH.2023.307375. Epub 2023 Jul 20.
4
Civil war and death in Yemen: Analysis of SMART survey and ACLED data, 2012-2019.也门的内战与死亡:2012 - 2019年SMART调查与ACLED数据的分析
PLOS Glob Public Health. 2022 Aug 8;2(8):e0000581. doi: 10.1371/journal.pgph.0000581. eCollection 2022.
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Priorities for cancer research in low- and middle-income countries: a global perspective.中低收入国家癌症研究重点:全球视角。
Nat Med. 2022 Apr;28(4):649-657. doi: 10.1038/s41591-022-01738-x. Epub 2022 Apr 19.
6
Refining circumstances of mortality categories (COMCAT): a verbal autopsy model connecting circumstances of deaths with outcomes for public health decision-making.细化死因类别(COMCAT):一种将死亡情况与公共卫生决策结果联系起来的死因推断模型。
Glob Health Action. 2021 Oct 26;14(sup1):2000091. doi: 10.1080/16549716.2021.2000091.
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Prevalence and determinants of death registration and certification uptake in Uganda.乌干达死亡登记和认证率的流行情况及决定因素。
PLoS One. 2022 Mar 4;17(3):e0264742. doi: 10.1371/journal.pone.0264742. eCollection 2022.
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Assessment of the national and subnational completeness of death registration in Nepal.尼泊尔全国及地方层面死亡登记完整性评估。
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Are there sex differences in completeness of death registration and quality of cause of death statistics? Results from a global analysis.死亡登记完整性和死因统计质量是否存在性别差异?来自全球分析的结果。
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