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

• Main Authors: Md. Toufiq Hassan Shawon (Author), Shah Ali Akbar Ashrafi (Author), Abul Kalam Azad (Author), Sonja M. Firth (Author), Hafizur Chowdhury (Author), Robert G. Mswia (Author), Tim Adair (Author), Ian Riley (Author), Carla Abouzahr (Author), Alan D. Lopez (Author)
• Format: Book
• Published: BMC, 2021-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 10.1186/s12889-021-10468-7; 1471-2458
• Keywords: Automated verbal autopsy; Mortality statistics; Community deaths; Bangladesh; Causes of death; Public aspects of medicine; RA1-1270
• Source: BMC Public Health, Vol 21, Iss 1, Pp 1-11 (2021)

Abstract 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 plausibility of the VA results was assessed using a series of demographic and epidemiological checks in the Verbal Autopsy Interpretation, Performance and Evaluation Resource (VIPER) software tool. Results Completeness of community death reporting was 65%. The vast majority (85%) of adult deaths were due to non-communicable diseases, with ischemic heart disease, stroke and chronic respiratory disease comprising about 60% alone. Leading COD were broadly consistent with Global Burden of Disease study estimates. Conclusions Routine VA collection using automated methods is feasible, can produce plausible results and provides critical information on community COD in Bangladesh. Routine VA and VIPER have potential application to countries with weak death registration systems.