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

Author

Listed:
  • 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
  • on behalf of the WHO Verbal Autopsy Working Group

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

Suggested Citation

  • 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 & on behalf of the , 2018. "The WHO 2016 verbal autopsy instrument: An international standard suitable for automated analysis by InterVA, InSilicoVA, and Tariff 2.0," PLOS Medicine, Public Library of Science, vol. 15(1), pages 1-9, January.
    • Handle: RePEc:plo:pmed00:1002486
    DOI: 10.1371/journal.pmed.1002486
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    Cited by:

    1. Rila Ratovoson & Bruno Masquelier & Todisoa Andriatahina & Reziky Mangahasimbola & Zo Andrianirina & Gilles Pison & Laurence Baril, 2020. "Inequalities in cause-specific mortality in children and adolescents in the Moramanga health survey, Madagascar," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 65(6), pages 781-790, July.
    2. Tariro J Basera & Kathrin Schmitz & Jessica Price & Merlin Willcox & Edna N Bosire & Ademola Ajuwon & Marjorie Mbule & Agnes Ronan & Fiona Burtt & Esca Scheepers & Jude Igumbor, 2021. "Community surveillance and response to maternal and child deaths in low- and middle-income countries: A scoping review," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-21, March.
    3. Tsuyoshi Kunihama & Zehang Richard Li & Samuel J. Clark & Tyler H. McCormick, 2018. "Bayesian factor models for probabilistic cause of death assessment with verbal autopsies," Discussion Paper Series 177, School of Economics, Kwansei Gakuin University, revised Mar 2018.

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