Estimating causes of death where there is no medical certification: evolution and state of the art of verbal autopsy.
Estimating causes of death where there is no medical certification: evolution and state of the art of verbal autopsy.
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DOI：
10.1080/16549716.2021.1982486
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发表时间：
2021-10-26
影响因子：
2.6
通讯作者：
de Savigny D
中科院分区：
文献类型：
--
作者：
Chandramohan D;Fottrell E;Leitao J;Nichols E;Clark SJ;Alsokhn C;Cobos Munoz D;AbouZahr C;Di Pasquale A;Mswia R;Choi E;Baiden F;Thomas J;Lyatuu I;Li Z;Larbi-Debrah P;Chu Y;Cheburet S;Sankoh O;Mohamed Badr A;Fat DM;Setel P;Jakob R;de Savigny D
在过去的70年里，在确定死亡原因方面取得了重大进展，在死亡时没有官方医疗证明的人群中，使用称为口头尸检（VA）的技术。VA包括在适当的丧亲间隔后与死者的家人或照顾者进行面谈，了解死者在导致死亡期间的情况、体征和症状。VA访谈数据然后由医生或最近的计算机算法解释，以指定可能的死亡原因。VA最初是在实地研究环境中开发和应用的。本文追溯了VA方法的演变，特别强调世界卫生组织（WHO）的努力，标准化VA工具和方法，扩大使用在日常卫生信息和生命统计系统在低收入和中等收入国家（LMICs）。今年，随着2022年世卫组织标准口头尸检（VA）工具包的发布，VA方法的这些进展达到了高潮。本文重点介绍了已故教授Peter Byass对当前VA标准和方法所做的许多贡献，其中最值得注意的是InterVA的开发，InterVA是用于解释WHO标准仪器中收集的数据的最常用的自动化计算机算法，以及他所促进的中低收入国家（LMIC）的能力建设。本文还提供了一个概述的方法来改善目前的世界卫生组织VA标准，目录的变化和改进的仪器，和映射的世界卫生组织VA标准方法在中低收入国家的当前应用。它还提供了在民事登记和人口动态统计系统中大规模实施脆弱性评估所需的工具和指导。
Over the past 70 years, significant advances have been made in determining the causes of death in populations not served by official medical certification of cause at the time of death using a technique known as Verbal Autopsy (VA). VA involves an interview of the family or caregivers of the deceased after a suitable bereavement interval about the circumstances, signs and symptoms of the deceased in the period leading to death. The VA interview data are then interpreted by physicians or, more recently, computer algorithms, to assign a probable cause of death. VA was originally developed and applied in field research settings. This paper traces the evolution of VA methods with special emphasis on the World Health Organization’s (WHO)’s efforts to standardize VA instruments and methods for expanded use in routine health information and vital statistics systems in low- and middle-income countries (LMICs). These advances in VA methods are culminating this year with the release of the 2022 WHO Standard Verbal Autopsy (VA) Toolkit. This paper highlights the many contributions the late Professor Peter Byass made to the current VA standards and methods, most notably, the development of InterVA, the most commonly used automated computer algorithm for interpreting data collected in the WHO standard instruments, and the capacity building in low- and middle-income countries (LMICs) that he promoted. This paper also provides an overview of the methods used to improve the current WHO VA standards, a catalogue of the changes and improvements in the instruments, and a mapping of current applications of the WHO VA standard approach in LMICs. It also provides access to tools and guidance needed for VA implementation in Civil Registration and Vital Statistics Systems at scale.
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影响因子：
3.4
作者：
Byass, P;Fottrell, E;Van, DD
通讯作者：
Van, DD
影响因子：
2.6
作者：
de Savigny, Don;Riley, Ian;Lopez, Alan D.
通讯作者：
Lopez, Alan D.
影响因子：
5.5
作者：
Fottrell, Edward;Byass, Peter
通讯作者：
Byass, Peter
影响因子：
7.2
作者：
Byass, Peter;Herbst, Kobus;Tollman, Stephen M.
通讯作者：
Tollman, Stephen M.
影响因子：
15.8
作者：
Byass P
通讯作者：
Byass P