ArticlePopulation health metrics2021
Estimating causes of out-of-hospital deaths in China: application of SmartVA methods.
Article in Population health metrics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 12 citations in OpenAlex.
- Unveiling China's heart disease challenges: a comprehensive retrospective study on national mortality burden.BMC public health · 2025Article
- Out-of-hospital deaths in Mongolia: a nationwide cohort study on the proportion, causes, and potential impact of emergency and critical care services.The Lancet regional health. Western Pacific · 2023Article
- Inferring China's excess mortality during the COVID-19 pandemic using online mourning and funeral search volume.Scientific reports · 2023Article
- Levels and trends in mortality and causes of death among women of reproductive age in Bangladesh: Findings from three national surveys.Journal of global health · 2023Article
- Estimated Burden of Stroke in China in 2020.JAMA network open · 2023Article
- Assessing the Diagnostic Accuracy of Physicians for Home Death Certification in Shanghai: Application of SmartVA.Frontiers in public health · 2022Article
- Integrating community-based verbal autopsy into civil registration and vital statistics: lessons learnt from five countries.BMJ global health · 2021Article
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Authors and funding
15 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMost 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.
methodsThe 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).
resultsNon-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.
conclusionEvidence 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.
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