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A de-identified database of 11,979 verbal autopsy open-ended responses

As part of the Gates Grand Challenge 13, the Population Health Metrics Research Consortium (PHMRC) collected data to enable the development and validation of methods that measure cause-specific mortality in populations with incomplete or inadequate cause of death coding. This work yielded 11,979 ver...

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Autores principales: Flaxman, Abraham D., Harman, Lisa, Joseph, Jonathan, Brown, Jonathan, Murray, Christopher J.L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030395/
https://www.ncbi.nlm.nih.gov/pubmed/29984357
http://dx.doi.org/10.12688/gatesopenres.12812.1
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author Flaxman, Abraham D.
Harman, Lisa
Joseph, Jonathan
Brown, Jonathan
Murray, Christopher J.L.
author_facet Flaxman, Abraham D.
Harman, Lisa
Joseph, Jonathan
Brown, Jonathan
Murray, Christopher J.L.
author_sort Flaxman, Abraham D.
collection PubMed
description As part of the Gates Grand Challenge 13, the Population Health Metrics Research Consortium (PHMRC) collected data to enable the development and validation of methods that measure cause-specific mortality in populations with incomplete or inadequate cause of death coding. This work yielded 11,979 verbal autopsy interviews (VAIs). In each, a field interviewer spoke with an individual familiar with the deceased and their final illness, and used a semi-structured questionnaire to collect information about the symptoms of the deceased in their final illness. The VAI collected demographic characteristics, possible risk factors (such as tobacco use), and other potentially contributing characteristics. It also included the open-ended question, “Could you please summarize, or tell us in your own words, any additional information about the illness and/or death of your loved one?” (open narrative). The VAI data were released in a de-identified format in September 2013 through the Global Health Data Exchange, in files that contain verbal autopsies that were collected at six sites in four countries (India, Mexico, Tanzania, and the Philippines). Due to research interest, we have now created redacted versions of the open narratives from the open-ended question of the questionnaire. We hope that this database will be the source of innovations that increase our knowledge about the causes of ill health and, through this knowledge, produce improvements in health for individuals and populations.
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spelling pubmed-60303952018-07-05 A de-identified database of 11,979 verbal autopsy open-ended responses Flaxman, Abraham D. Harman, Lisa Joseph, Jonathan Brown, Jonathan Murray, Christopher J.L. Gates Open Res Data Note As part of the Gates Grand Challenge 13, the Population Health Metrics Research Consortium (PHMRC) collected data to enable the development and validation of methods that measure cause-specific mortality in populations with incomplete or inadequate cause of death coding. This work yielded 11,979 verbal autopsy interviews (VAIs). In each, a field interviewer spoke with an individual familiar with the deceased and their final illness, and used a semi-structured questionnaire to collect information about the symptoms of the deceased in their final illness. The VAI collected demographic characteristics, possible risk factors (such as tobacco use), and other potentially contributing characteristics. It also included the open-ended question, “Could you please summarize, or tell us in your own words, any additional information about the illness and/or death of your loved one?” (open narrative). The VAI data were released in a de-identified format in September 2013 through the Global Health Data Exchange, in files that contain verbal autopsies that were collected at six sites in four countries (India, Mexico, Tanzania, and the Philippines). Due to research interest, we have now created redacted versions of the open narratives from the open-ended question of the questionnaire. We hope that this database will be the source of innovations that increase our knowledge about the causes of ill health and, through this knowledge, produce improvements in health for individuals and populations. F1000 Research Limited 2018-04-17 /pmc/articles/PMC6030395/ /pubmed/29984357 http://dx.doi.org/10.12688/gatesopenres.12812.1 Text en Copyright: © 2018 Flaxman AD et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Data Note
Flaxman, Abraham D.
Harman, Lisa
Joseph, Jonathan
Brown, Jonathan
Murray, Christopher J.L.
A de-identified database of 11,979 verbal autopsy open-ended responses
title A de-identified database of 11,979 verbal autopsy open-ended responses
title_full A de-identified database of 11,979 verbal autopsy open-ended responses
title_fullStr A de-identified database of 11,979 verbal autopsy open-ended responses
title_full_unstemmed A de-identified database of 11,979 verbal autopsy open-ended responses
title_short A de-identified database of 11,979 verbal autopsy open-ended responses
title_sort de-identified database of 11,979 verbal autopsy open-ended responses
topic Data Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6030395/
https://www.ncbi.nlm.nih.gov/pubmed/29984357
http://dx.doi.org/10.12688/gatesopenres.12812.1
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