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Automated versus physician assignment of cause of death for verbal autopsies: randomized trial of 9374 deaths in 117 villages in India

BACKGROUND: Verbal autopsies with physician assignment of cause of death (COD) are commonly used in settings where medical certification of deaths is uncommon. It remains unanswered if automated algorithms can replace physician assignment. METHODS: We randomized verbal autopsy interviews for deaths...

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Autores principales: Jha, Prabhat, Kumar, Dinesh, Dikshit, Rajesh, Budukh, Atul, Begum, Rehana, Sati, Prabha, Kolpak, Patrycja, Wen, Richard, Raithatha, Shyamsundar J., Shah, Utkarsh, Li, Zehang Richard, Aleksandrowicz, Lukasz, Shah, Prakash, Piyasena, Kapila, McCormick, Tyler H., Gelband, Hellen, Clark, Samuel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595581/
https://www.ncbi.nlm.nih.gov/pubmed/31242925
http://dx.doi.org/10.1186/s12916-019-1353-2
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author Jha, Prabhat
Kumar, Dinesh
Dikshit, Rajesh
Budukh, Atul
Begum, Rehana
Sati, Prabha
Kolpak, Patrycja
Wen, Richard
Raithatha, Shyamsundar J.
Shah, Utkarsh
Li, Zehang Richard
Aleksandrowicz, Lukasz
Shah, Prakash
Piyasena, Kapila
McCormick, Tyler H.
Gelband, Hellen
Clark, Samuel J.
author_facet Jha, Prabhat
Kumar, Dinesh
Dikshit, Rajesh
Budukh, Atul
Begum, Rehana
Sati, Prabha
Kolpak, Patrycja
Wen, Richard
Raithatha, Shyamsundar J.
Shah, Utkarsh
Li, Zehang Richard
Aleksandrowicz, Lukasz
Shah, Prakash
Piyasena, Kapila
McCormick, Tyler H.
Gelband, Hellen
Clark, Samuel J.
author_sort Jha, Prabhat
collection PubMed
description BACKGROUND: Verbal autopsies with physician assignment of cause of death (COD) are commonly used in settings where medical certification of deaths is uncommon. It remains unanswered if automated algorithms can replace physician assignment. METHODS: We randomized verbal autopsy interviews for deaths in 117 villages in rural India to either physician or automated COD assignment. Twenty-four trained lay (non-medical) surveyors applied the allocated method using a laptop-based electronic system. Two of 25 physicians were allocated randomly to independently code the deaths in the physician assignment arm. Six algorithms (Naïve Bayes Classifier (NBC), King-Lu, InSilicoVA, InSilicoVA-NT, InterVA-4, and SmartVA) coded each death in the automated arm. The primary outcome was concordance with the COD distribution in the standard physician-assigned arm. Four thousand six hundred fifty-one (4651) deaths were allocated to physician (standard), and 4723 to automated arms. RESULTS: The two arms were nearly identical in demographics and key symptom patterns. The average concordances of automated algorithms with the standard were 62%, 56%, and 59% for adult, child, and neonatal deaths, respectively. Automated algorithms showed inconsistent results, even for causes that are relatively easy to identify such as road traffic injuries. Automated algorithms underestimated the number of cancer and suicide deaths in adults and overestimated other injuries in adults and children. Across all ages, average weighted concordance with the standard was 62% (range 79–45%) with the best to worst ranking automated algorithms being InterVA-4, InSilicoVA-NT, InSilicoVA, SmartVA, NBC, and King-Lu. Individual-level sensitivity for causes of adult deaths in the automated arm was low between the algorithms but high between two independent physicians in the physician arm. CONCLUSIONS: While desirable, automated algorithms require further development and rigorous evaluation. Lay reporting of deaths paired with physician COD assignment of verbal autopsies, despite some limitations, remains a practicable method to document the patterns of mortality reliably for unattended deaths. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02810366. Submitted on 11 April 2016. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-019-1353-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-65955812019-08-07 Automated versus physician assignment of cause of death for verbal autopsies: randomized trial of 9374 deaths in 117 villages in India Jha, Prabhat Kumar, Dinesh Dikshit, Rajesh Budukh, Atul Begum, Rehana Sati, Prabha Kolpak, Patrycja Wen, Richard Raithatha, Shyamsundar J. Shah, Utkarsh Li, Zehang Richard Aleksandrowicz, Lukasz Shah, Prakash Piyasena, Kapila McCormick, Tyler H. Gelband, Hellen Clark, Samuel J. BMC Med Research Article BACKGROUND: Verbal autopsies with physician assignment of cause of death (COD) are commonly used in settings where medical certification of deaths is uncommon. It remains unanswered if automated algorithms can replace physician assignment. METHODS: We randomized verbal autopsy interviews for deaths in 117 villages in rural India to either physician or automated COD assignment. Twenty-four trained lay (non-medical) surveyors applied the allocated method using a laptop-based electronic system. Two of 25 physicians were allocated randomly to independently code the deaths in the physician assignment arm. Six algorithms (Naïve Bayes Classifier (NBC), King-Lu, InSilicoVA, InSilicoVA-NT, InterVA-4, and SmartVA) coded each death in the automated arm. The primary outcome was concordance with the COD distribution in the standard physician-assigned arm. Four thousand six hundred fifty-one (4651) deaths were allocated to physician (standard), and 4723 to automated arms. RESULTS: The two arms were nearly identical in demographics and key symptom patterns. The average concordances of automated algorithms with the standard were 62%, 56%, and 59% for adult, child, and neonatal deaths, respectively. Automated algorithms showed inconsistent results, even for causes that are relatively easy to identify such as road traffic injuries. Automated algorithms underestimated the number of cancer and suicide deaths in adults and overestimated other injuries in adults and children. Across all ages, average weighted concordance with the standard was 62% (range 79–45%) with the best to worst ranking automated algorithms being InterVA-4, InSilicoVA-NT, InSilicoVA, SmartVA, NBC, and King-Lu. Individual-level sensitivity for causes of adult deaths in the automated arm was low between the algorithms but high between two independent physicians in the physician arm. CONCLUSIONS: While desirable, automated algorithms require further development and rigorous evaluation. Lay reporting of deaths paired with physician COD assignment of verbal autopsies, despite some limitations, remains a practicable method to document the patterns of mortality reliably for unattended deaths. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02810366. Submitted on 11 April 2016. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-019-1353-2) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-27 /pmc/articles/PMC6595581/ /pubmed/31242925 http://dx.doi.org/10.1186/s12916-019-1353-2 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Jha, Prabhat
Kumar, Dinesh
Dikshit, Rajesh
Budukh, Atul
Begum, Rehana
Sati, Prabha
Kolpak, Patrycja
Wen, Richard
Raithatha, Shyamsundar J.
Shah, Utkarsh
Li, Zehang Richard
Aleksandrowicz, Lukasz
Shah, Prakash
Piyasena, Kapila
McCormick, Tyler H.
Gelband, Hellen
Clark, Samuel J.
Automated versus physician assignment of cause of death for verbal autopsies: randomized trial of 9374 deaths in 117 villages in India
title Automated versus physician assignment of cause of death for verbal autopsies: randomized trial of 9374 deaths in 117 villages in India
title_full Automated versus physician assignment of cause of death for verbal autopsies: randomized trial of 9374 deaths in 117 villages in India
title_fullStr Automated versus physician assignment of cause of death for verbal autopsies: randomized trial of 9374 deaths in 117 villages in India
title_full_unstemmed Automated versus physician assignment of cause of death for verbal autopsies: randomized trial of 9374 deaths in 117 villages in India
title_short Automated versus physician assignment of cause of death for verbal autopsies: randomized trial of 9374 deaths in 117 villages in India
title_sort automated versus physician assignment of cause of death for verbal autopsies: randomized trial of 9374 deaths in 117 villages in india
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6595581/
https://www.ncbi.nlm.nih.gov/pubmed/31242925
http://dx.doi.org/10.1186/s12916-019-1353-2
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