Causes of death from community settings
Insights from verbal autopsy implementation in Tanzania
Bibliographic Data
| ID | 21881494 |
|---|---|
| Authors | Isaac Lyatuu (0000-0001-5694-7648, Ifakara Health Institute), Mahadia Tunga (0000-0003-2496-3373, University of Dar es Salaam), Sigilbert Mrema (0000-0002-5128-562X, Ifakara Health Institute), Gisbert Msigwa (Ministry of Health and Social Welfare), Joyce Mugasa (Muhimbili National Hospital), Trust Nyondo (Ministry of Health and Social Welfare), Claud Kumalija (0000-0001-9965-1601, Ministry of Health and Social Welfare), Honorati Masanja (0000-0002-3860-7348, Ifakara Health Institute) |
| Year | 2026 |
| Volume | 11 |
| Issue | 3 |
| Pages | e019790 |
| Publication date | 2026-03-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMJ Global Health (JOURNAL) |
| Journal identifiers | ISSN: 2059-7908 • E-ISSN: 2059-7908 |
| Publisher | BMJ (PUBLISHER • GB) |
| DOI | 10.1136/bmjgh-2025-019790 |
| PMID | 41839527 |
| OpenAlex | W7136817038 |
| Language | EN |
| References cited | 20 |
BACKGROUND: Approximately 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. METHODS: VA 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. RESULTS: The 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. CONCLUSIONS: VA 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
Cause of death · Concordance · Data collection · Health data · Public health · Tanzania · Tuberculosis · Verbal autopsy · Autopsy Techniques and Outcomes · Global Health and Surgery · Global Maternal and Child Health
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| Highly cited | No |
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