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Estimating causes of out-of-hospital deaths in China: application of SmartVA methods

BACKGROUND: Most deaths in China occur at home, making it difficult to collect reliable cause of death (CoD) information. Verbal autopsy (VA) was applied using the SmartVA tool to a sample of home deaths in China to explore its feasibility as a means of improving the quality of CoD data. METHODS: Th...

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Autores principales: Qi, Jinlei, Adair, Tim, Chowdhury, Hafizur R., Li, Hang, McLaughlin, Deirdre, Liu, Yunning, Liu, Jiangmei, Zeng, Xinying, You, Jinling, Firth, Sonja, Sorchik, Renee, Yin, Peng, Wang, Lijun, Zhou, Maigeng, Lopez, Alan D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097770/
https://www.ncbi.nlm.nih.gov/pubmed/33947434
http://dx.doi.org/10.1186/s12963-021-00256-1
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author Qi, Jinlei
Adair, Tim
Chowdhury, Hafizur R.
Li, Hang
McLaughlin, Deirdre
Liu, Yunning
Liu, Jiangmei
Zeng, Xinying
You, Jinling
Firth, Sonja
Sorchik, Renee
Yin, Peng
Wang, Lijun
Zhou, Maigeng
Lopez, Alan D.
author_facet Qi, Jinlei
Adair, Tim
Chowdhury, Hafizur R.
Li, Hang
McLaughlin, Deirdre
Liu, Yunning
Liu, Jiangmei
Zeng, Xinying
You, Jinling
Firth, Sonja
Sorchik, Renee
Yin, Peng
Wang, Lijun
Zhou, Maigeng
Lopez, Alan D.
author_sort Qi, Jinlei
collection PubMed
description BACKGROUND: Most deaths in China occur at home, making it difficult to collect reliable cause of death (CoD) information. Verbal autopsy (VA) was applied using the SmartVA tool to a sample of home deaths in China to explore its feasibility as a means of improving the quality of CoD data. METHODS: The study was carried out in 22 districts in 9 provinces, located in north-east, central, and western areas of China during 2017 and 2018. Trained interviewers selected suitable respondents in each household to collect information using the Population Health Metrics Research Consortium (PHMRC) shortened and validated electronic VA questionnaire on tablets. The CoD was diagnosed from the interview data using the SmartVA-Analyze 2.0 software (Tariff 2.0). RESULTS: Non-communicable diseases (NCDs) dominated the leading causes of death in all age groups and for both sexes. After redistribution of undetermined causes, stroke (24%), ischemic heart diseases (IHD) (21%), chronic respiratory diseases (11%), and lung cancer (6%) were the leading causes of death. The cause fractions for level-one cause categories and ranking of specific causes were similar between SmartVA and results from the Global Burden of Disease (GBD) study. CONCLUSION: Evidence from this large pilot study suggests that SmartVA is a feasible and plausible tool and could be a valuable tool to improve the quality and standardization of CoD information across China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12963-021-00256-1.
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spelling pubmed-80977702021-05-05 Estimating causes of out-of-hospital deaths in China: application of SmartVA methods Qi, Jinlei Adair, Tim Chowdhury, Hafizur R. Li, Hang McLaughlin, Deirdre Liu, Yunning Liu, Jiangmei Zeng, Xinying You, Jinling Firth, Sonja Sorchik, Renee Yin, Peng Wang, Lijun Zhou, Maigeng Lopez, Alan D. Popul Health Metr Research BACKGROUND: Most deaths in China occur at home, making it difficult to collect reliable cause of death (CoD) information. Verbal autopsy (VA) was applied using the SmartVA tool to a sample of home deaths in China to explore its feasibility as a means of improving the quality of CoD data. METHODS: The study was carried out in 22 districts in 9 provinces, located in north-east, central, and western areas of China during 2017 and 2018. Trained interviewers selected suitable respondents in each household to collect information using the Population Health Metrics Research Consortium (PHMRC) shortened and validated electronic VA questionnaire on tablets. The CoD was diagnosed from the interview data using the SmartVA-Analyze 2.0 software (Tariff 2.0). RESULTS: Non-communicable diseases (NCDs) dominated the leading causes of death in all age groups and for both sexes. After redistribution of undetermined causes, stroke (24%), ischemic heart diseases (IHD) (21%), chronic respiratory diseases (11%), and lung cancer (6%) were the leading causes of death. The cause fractions for level-one cause categories and ranking of specific causes were similar between SmartVA and results from the Global Burden of Disease (GBD) study. CONCLUSION: Evidence from this large pilot study suggests that SmartVA is a feasible and plausible tool and could be a valuable tool to improve the quality and standardization of CoD information across China. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12963-021-00256-1. BioMed Central 2021-05-04 /pmc/articles/PMC8097770/ /pubmed/33947434 http://dx.doi.org/10.1186/s12963-021-00256-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Qi, Jinlei
Adair, Tim
Chowdhury, Hafizur R.
Li, Hang
McLaughlin, Deirdre
Liu, Yunning
Liu, Jiangmei
Zeng, Xinying
You, Jinling
Firth, Sonja
Sorchik, Renee
Yin, Peng
Wang, Lijun
Zhou, Maigeng
Lopez, Alan D.
Estimating causes of out-of-hospital deaths in China: application of SmartVA methods
title Estimating causes of out-of-hospital deaths in China: application of SmartVA methods
title_full Estimating causes of out-of-hospital deaths in China: application of SmartVA methods
title_fullStr Estimating causes of out-of-hospital deaths in China: application of SmartVA methods
title_full_unstemmed Estimating causes of out-of-hospital deaths in China: application of SmartVA methods
title_short Estimating causes of out-of-hospital deaths in China: application of SmartVA methods
title_sort estimating causes of out-of-hospital deaths in china: application of smartva methods
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8097770/
https://www.ncbi.nlm.nih.gov/pubmed/33947434
http://dx.doi.org/10.1186/s12963-021-00256-1
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