Journal article

Routine mortality surveillance to identify the cause of death pattern for out-of-hospital adult (aged 12 years) deaths in Bangladesh: introduction of automated verbal autopsy

Md Toufiq Hassan Shawon, Shah Ali Akbar Ashrafi, Abul Kalam Azad, Sonja M Firth, Hafizur Chowdhury, Robert G Mswia, Tim Adair, Ian Riley, Carla Abouzahr, Alan D Lopez

BMC PUBLIC HEALTH | BMC | Published : 2021


BACKGROUND: In Bangladesh, a poorly functioning national system of registering deaths and determining their causes leaves the country without important information on which to inform health programming, particularly for the 85% of deaths that occur in the community. In 2017, an improved death registration system and automated verbal autopsy (VA) were introduced to 13 upazilas to assess the utility of VA as a routine source of policy-relevant information and to identify leading causes of deaths (COD) in rural Bangladesh. METHODS: Data from 22,535 VAs, collected in 12 upazilas between October 2017 and August 2019, were assigned a COD using the SmartVA Analyze 2.0 computer algorithm. The plausi..

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Funding Acknowledgements

This study was funded under an award from Bloomberg Philanthropies to the University of Melbourne and Vital Strategies to support the Data for Health Initiative. Bloomberg Philanthropies had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. In-kind support for the study was provided by the Bangladesh Government.