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Estimating causes of death where there is no medical certification: evolution and state of the art of verbal autopsy

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 decease...

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Autores principales: Chandramohan, Daniel, Fottrell, Edward, Leitao, Jordana, Nichols, Erin, Clark, Samuel J., Alsokhn, Carine, Cobos Munoz, Daniel, AbouZahr, Carla, Di Pasquale, Aurelio, Mswia, Robert, Choi, Eungang, Baiden, Frank, Thomas, Jason, Lyatuu, Isaac, Li, Zehang, Larbi-Debrah, Patrick, Chu, Yue, Cheburet, Samuel, Sankoh, Osman, Mohamed Badr, Azza, Fat, Doris Ma, Setel, Philip, Jakob, Robert, de Savigny, Don
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986278/
https://www.ncbi.nlm.nih.gov/pubmed/35377290
http://dx.doi.org/10.1080/16549716.2021.1982486
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author Chandramohan, Daniel
Fottrell, Edward
Leitao, Jordana
Nichols, Erin
Clark, Samuel J.
Alsokhn, Carine
Cobos Munoz, Daniel
AbouZahr, Carla
Di Pasquale, Aurelio
Mswia, Robert
Choi, Eungang
Baiden, Frank
Thomas, Jason
Lyatuu, Isaac
Li, Zehang
Larbi-Debrah, Patrick
Chu, Yue
Cheburet, Samuel
Sankoh, Osman
Mohamed Badr, Azza
Fat, Doris Ma
Setel, Philip
Jakob, Robert
de Savigny, Don
author_facet Chandramohan, Daniel
Fottrell, Edward
Leitao, Jordana
Nichols, Erin
Clark, Samuel J.
Alsokhn, Carine
Cobos Munoz, Daniel
AbouZahr, Carla
Di Pasquale, Aurelio
Mswia, Robert
Choi, Eungang
Baiden, Frank
Thomas, Jason
Lyatuu, Isaac
Li, Zehang
Larbi-Debrah, Patrick
Chu, Yue
Cheburet, Samuel
Sankoh, Osman
Mohamed Badr, Azza
Fat, Doris Ma
Setel, Philip
Jakob, Robert
de Savigny, Don
author_sort Chandramohan, Daniel
collection PubMed
description 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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spelling pubmed-89862782022-04-07 Estimating causes of death where there is no medical certification: evolution and state of the art of verbal autopsy Chandramohan, Daniel Fottrell, Edward Leitao, Jordana Nichols, Erin Clark, Samuel J. Alsokhn, Carine Cobos Munoz, Daniel AbouZahr, Carla Di Pasquale, Aurelio Mswia, Robert Choi, Eungang Baiden, Frank Thomas, Jason Lyatuu, Isaac Li, Zehang Larbi-Debrah, Patrick Chu, Yue Cheburet, Samuel Sankoh, Osman Mohamed Badr, Azza Fat, Doris Ma Setel, Philip Jakob, Robert de Savigny, Don Glob Health Action Review Article 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. Taylor & Francis 2022-04-04 /pmc/articles/PMC8986278/ /pubmed/35377290 http://dx.doi.org/10.1080/16549716.2021.1982486 Text en © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Chandramohan, Daniel
Fottrell, Edward
Leitao, Jordana
Nichols, Erin
Clark, Samuel J.
Alsokhn, Carine
Cobos Munoz, Daniel
AbouZahr, Carla
Di Pasquale, Aurelio
Mswia, Robert
Choi, Eungang
Baiden, Frank
Thomas, Jason
Lyatuu, Isaac
Li, Zehang
Larbi-Debrah, Patrick
Chu, Yue
Cheburet, Samuel
Sankoh, Osman
Mohamed Badr, Azza
Fat, Doris Ma
Setel, Philip
Jakob, Robert
de Savigny, Don
Estimating causes of death where there is no medical certification: evolution and state of the art of verbal autopsy
title Estimating causes of death where there is no medical certification: evolution and state of the art of verbal autopsy
title_full Estimating causes of death where there is no medical certification: evolution and state of the art of verbal autopsy
title_fullStr Estimating causes of death where there is no medical certification: evolution and state of the art of verbal autopsy
title_full_unstemmed Estimating causes of death where there is no medical certification: evolution and state of the art of verbal autopsy
title_short Estimating causes of death where there is no medical certification: evolution and state of the art of verbal autopsy
title_sort estimating causes of death where there is no medical certification: evolution and state of the art of verbal autopsy
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986278/
https://www.ncbi.nlm.nih.gov/pubmed/35377290
http://dx.doi.org/10.1080/16549716.2021.1982486
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