Improving methods to measure comparable mortality cause (IMMCMC) gold standard verbal autopsy dataset

Abstract Objectives Gold standard cause of death data is critically important to improve verbal autopsy (VA) methods in diagnosing cause of death where civil and vital registration systems are inadequate or poor. As part of a three-country research study—Improving Methods to Measure Comparable Morta...

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Autores principales: Riley H. Hazard, Hafizur Rahman Chowdhury, Abraham D. Flaxman, Jonathan C. Joseph, Nurul Alam, Ian Douglas Riley, Peter Kim Streatfield, Hebe Gouda, Seri Maraga, Patricia Rarau, Diozele Sanvictores, Veronica Tallo, Marilla Lucero, Alan D. Lopez
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Publicado: BMC 2021
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Acceso en línea:https://doaj.org/article/37613b0b8f214463a6095ad7eee17925
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spelling oai:doaj.org-article:37613b0b8f214463a6095ad7eee179252021-11-28T12:25:13ZImproving methods to measure comparable mortality cause (IMMCMC) gold standard verbal autopsy dataset10.1186/s13104-021-05834-y1756-0500https://doaj.org/article/37613b0b8f214463a6095ad7eee179252021-11-01T00:00:00Zhttps://doi.org/10.1186/s13104-021-05834-yhttps://doaj.org/toc/1756-0500Abstract Objectives Gold standard cause of death data is critically important to improve verbal autopsy (VA) methods in diagnosing cause of death where civil and vital registration systems are inadequate or poor. As part of a three-country research study—Improving Methods to Measure Comparable Mortality by Cause (IMMCMC) study—data were collected on clinicopathological criteria-based gold standard cause of death from hospital record reviews with matched VAs. The purpose of this data note is to make accessible a de-identified format of these gold standard VAs for interested researchers to improve the diagnostic accuracy of VA methods. Data description The study was conducted between 2011 and 2014 in the Philippines, Bangladesh, and Papua New Guinea. Gold standard diagnoses of underlying causes of death for deaths occurring in hospital were matched to VAs conducted using a standardized VA questionnaire developed by the Population Health Metrics Consortium. 3512 deaths were collected in total, comprised of 2491 adults (12 years and older), 320 children (28 days to 12 years), and 702 neonates (0–27 days).Riley H. HazardHafizur Rahman ChowdhuryAbraham D. FlaxmanJonathan C. JosephNurul AlamIan Douglas RileyPeter Kim StreatfieldHebe GoudaSeri MaragaPatricia RarauDiozele SanvictoresVeronica TalloMarilla LuceroAlan D. LopezBMCarticleVerbal autopsyGold standardCause of deathMedicineRBiology (General)QH301-705.5Science (General)Q1-390ENBMC Research Notes, Vol 14, Iss 1, Pp 1-3 (2021)
institution DOAJ
collection DOAJ
language EN
topic Verbal autopsy
Gold standard
Cause of death
Medicine
R
Biology (General)
QH301-705.5
Science (General)
Q1-390
spellingShingle Verbal autopsy
Gold standard
Cause of death
Medicine
R
Biology (General)
QH301-705.5
Science (General)
Q1-390
Riley H. Hazard
Hafizur Rahman Chowdhury
Abraham D. Flaxman
Jonathan C. Joseph
Nurul Alam
Ian Douglas Riley
Peter Kim Streatfield
Hebe Gouda
Seri Maraga
Patricia Rarau
Diozele Sanvictores
Veronica Tallo
Marilla Lucero
Alan D. Lopez
Improving methods to measure comparable mortality cause (IMMCMC) gold standard verbal autopsy dataset
description Abstract Objectives Gold standard cause of death data is critically important to improve verbal autopsy (VA) methods in diagnosing cause of death where civil and vital registration systems are inadequate or poor. As part of a three-country research study—Improving Methods to Measure Comparable Mortality by Cause (IMMCMC) study—data were collected on clinicopathological criteria-based gold standard cause of death from hospital record reviews with matched VAs. The purpose of this data note is to make accessible a de-identified format of these gold standard VAs for interested researchers to improve the diagnostic accuracy of VA methods. Data description The study was conducted between 2011 and 2014 in the Philippines, Bangladesh, and Papua New Guinea. Gold standard diagnoses of underlying causes of death for deaths occurring in hospital were matched to VAs conducted using a standardized VA questionnaire developed by the Population Health Metrics Consortium. 3512 deaths were collected in total, comprised of 2491 adults (12 years and older), 320 children (28 days to 12 years), and 702 neonates (0–27 days).
format article
author Riley H. Hazard
Hafizur Rahman Chowdhury
Abraham D. Flaxman
Jonathan C. Joseph
Nurul Alam
Ian Douglas Riley
Peter Kim Streatfield
Hebe Gouda
Seri Maraga
Patricia Rarau
Diozele Sanvictores
Veronica Tallo
Marilla Lucero
Alan D. Lopez
author_facet Riley H. Hazard
Hafizur Rahman Chowdhury
Abraham D. Flaxman
Jonathan C. Joseph
Nurul Alam
Ian Douglas Riley
Peter Kim Streatfield
Hebe Gouda
Seri Maraga
Patricia Rarau
Diozele Sanvictores
Veronica Tallo
Marilla Lucero
Alan D. Lopez
author_sort Riley H. Hazard
title Improving methods to measure comparable mortality cause (IMMCMC) gold standard verbal autopsy dataset
title_short Improving methods to measure comparable mortality cause (IMMCMC) gold standard verbal autopsy dataset
title_full Improving methods to measure comparable mortality cause (IMMCMC) gold standard verbal autopsy dataset
title_fullStr Improving methods to measure comparable mortality cause (IMMCMC) gold standard verbal autopsy dataset
title_full_unstemmed Improving methods to measure comparable mortality cause (IMMCMC) gold standard verbal autopsy dataset
title_sort improving methods to measure comparable mortality cause (immcmc) gold standard verbal autopsy dataset
publisher BMC
publishDate 2021
url https://doaj.org/article/37613b0b8f214463a6095ad7eee17925
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