ArticleBMJ global health2026
Causes of death from community settings: insights from verbal autopsy implementation in Tanzania.
Article in BMJ global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundApproximately 70% of deaths in Tanzania occur outside health facilities and are often unreported or lack cause of death (COD) information. Consequently, health planning relies on data representing only 10%-15% of the population. To address this gap, Tanzania integrated verbal autopsy (VA) into its civil registration and vital statistics (CRVS) to generate more comprehensive COD data for mortality reporting. This manuscript shares Tanzania's VA implementation experience from 2017 to 2020, focusing on its integration into the CRVS system, and assesses its capacity to generate accurate and representative mortality data to guide health policies and planning.
methodsVA implementation followed a phased approach: (1) a pilot and pretest phase covering 10 wards (urban-to-rural ratio 1:3) and achieving 38.3% data completeness, (2) a demonstration phase covering 106 wards (urban-to-rural ratio 1:3), with data completeness at 22.7% and (3) a national scale-up phase, which is currently underway. Data were collected using a standardised WHO VA questionnaire administered via tablets. CODs were determined using physician- and computer-coded methods.
resultsThe concordance (R-squared) between physician-coded and computer-coded VA (PCVA and CCVA) for cause specific-mortality fraction was 0.83 for InsilicoVA, 0.70 for InterVA5 and 0.47 for Tariff. Communicable diseases accounted for 45.6% of deaths, with a higher burden in rural areas, whereas non-communicable diseases (40.2%) were more prevalent in urban areas. The leading CODs were HIV/AIDS, cardiac diseases, malaria, tuberculosis and diabetes.
conclusionsVA plays a pivotal role in generating comprehensive mortality statistics, particularly in low-resource settings. Its integration into CRVS systems with support from CCVA provides a scalable and sustainable solution to address critical data gaps and improve public health interventions, thus better enabling evidence-based health policies and planning in Tanzania.
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