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.

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.

Measuring Maternal Mortality: Three Case Studies Using Verbal Autopsy with Different Platforms.

BACKGROUND: Accurate measurement of maternal mortality is needed to develop a greater understanding of the scale of the problem, to increase effectiveness of program planning and targeting, and to track progress. In the absence of good quality vital statistics, interim methods are used to measure maternal mortality. The purpose of this study is to document experience with three community-based interim methods that measure maternal mortality using verbal autopsy. METHODS: This study uses a post-census mortality survey, a sample vital registration with verbal autopsy, and a large-scale household survey to summarize the measures of maternal mortality obtained from these three platforms, compares and contrasts the different methodologies employed, and evaluates strengths and weaknesses of each approach. Included is also a discussion of issues related to death identification and classification, estimating maternal mortality ratios and rates, sample sizes and periodicity of estimates, data quality, and cost. RESULTS: The sample sizes vary considerably between the three data sources and the number of maternal deaths identified through each platform was small. The proportion of deaths to women of reproductive age that are maternal deaths ranged from 8.8% to 17.3%. The maternal mortality rate was estimable using two of the platforms while obtaining an estimate of the maternal mortality ratio was only possible using one of the platforms. The percentage of maternal deaths due to direct obstetric causes ranged from 45.2% to 80.4%. CONCLUSIONS: This study documents experiences applying standard verbal autopsy methods to estimate maternal mortality and confirms that verbal autopsy is a feasible method for collecting maternal mortality data. None of these interim methods are likely to be suitable for detecting short term changes in mortality due to prohibitive sample size requirements, and thus, comprehensive and continuous civil registration systems to provide high quality vital statistics are essential in the long-term.