EconPapers    
Economics at your fingertips  
 

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

Erin K Nichols, Peter Byass, Daniel Chandramohan, Samuel J Clark, Abraham D Flaxman, Robert Jakob, Jordana Leitao, Nicolas Maire, Chalapati Rao, Ian Riley, Philip W Setel and on behalf of the WHO Verbal Autopsy Working Group

PLOS Medicine, 2018, vol. 15, issue 1, 1-9

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. 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. 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. Erin Nichols and colleagues describe the development of the WHO verbal autopsy standard instrument

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002486 (text/html)
https://journals.plos.org/plosmedicine/article/fil ... 02486&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pmed00:1002486

DOI: 10.1371/journal.pmed.1002486

Access Statistics for this article

More articles in PLOS Medicine from Public Library of Science
Bibliographic data for series maintained by plosmedicine ().

 
Page updated 2025-03-19
Handle: RePEc:plo:pmed00:1002486