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The WHO 2016 verbal autopsy instrument: An international standard suitable for automated analysis by InterVA, InSilicoVA, and Tariff 2.0.

Authors :
Nichols EK
Byass P
Chandramohan D
Clark SJ
Flaxman AD
Jakob R
Leitao J
Maire N
Rao C
Riley I
Setel PW
Source :
PLoS medicine [PLoS Med] 2018 Jan 10; Vol. 15 (1), pp. e1002486. Date of Electronic Publication: 2018 Jan 10 (Print Publication: 2018).
Publication Year :
2018

Abstract

Background: Verbal autopsy (VA) is a practical method for determining probable causes of death at the population level in places where systems for medical certification of cause of death are weak. VA methods suitable for use in routine settings, such as civil registration and vital statistics (CRVS) systems, have developed rapidly in the last decade. These developments have been part of a growing global momentum to strengthen CRVS systems in low-income countries. With this momentum have come pressure for continued research and development of VA methods and the need for a single standard VA instrument on which multiple automated diagnostic methods can be developed.<br />Methods and Findings: In 2016, partners harmonized a WHO VA standard instrument that fully incorporates the indicators necessary to run currently available automated diagnostic algorithms. The WHO 2016 VA instrument, together with validated approaches to analyzing VA data, offers countries solutions to improving information about patterns of cause-specific mortality. This VA instrument offers the opportunity to harmonize the automated diagnostic algorithms in the future.<br />Conclusions: Despite all improvements in design and technology, VA is only recommended where medical certification of cause of death is not possible. The method can nevertheless provide sufficient information to guide public health priorities in communities in which physician certification of deaths is largely unavailable. The WHO 2016 VA instrument, together with validated approaches to analyzing VA data, offers countries solutions to improving information about patterns of cause-specific mortality.

Details

Language :
English
ISSN :
1549-1676
Volume :
15
Issue :
1
Database :
MEDLINE
Journal :
PLoS medicine
Publication Type :
Academic Journal
Accession number :
29320495
Full Text :
https://doi.org/10.1371/journal.pmed.1002486