ArticleJournal of global health2026
Assessing the feasibility and appropriateness of verbal autopsy using contact information of the deceased from burial records in urban Bangladesh.
Article in Journal of 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.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
23 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Bangladesh faces significant challenges in accurately documenting causes of death (COD), largely due to incomplete vital registration systems, which lack COD reporting. A substantial number of deaths occur outside health facilities, often without medical certification, leading to further gaps in mortality data. Verbal autopsy (VA) has emerged as a viable method in low-resource settings to bridge this gap. We aimed to explore the feasibility and appropriateness of using VA by tracking burial records' contact information to enhance mortality documentation and inform health policies in the graveyards of urban Bangladesh. Methods: We employed an exploratory design using both quantitative and qualitative methods. We conducted VAs using the contact details from six graveyards' burial records of Dhaka North City Corporation in Bangladesh, identifying participants through random sampling. In-depth interviews with data collectors, graveyard managers, and study participants provided insights into the feasibility and challenges of this process. We collected the data using the World Health Organization VA tool and assigned CODs using the InSilicoVA algorithm, applying thematic analysis to qualitative findings. We compared mortality trends with national data sets. Results: We conducted 531 VAs using the contact information from burial site records in Dhaka North City Corporation graveyards, with sub-optimal consent rates varying by location. The leading CODs were acute respiratory infections (21%) and cardiac disease (19%), demonstrating the practicality of obtaining COD from the VA, and the feasibility of collecting burial records and contact details, if consent rates could be improved. Qualitative findings indicated that using burial records for such data collection faces obstacles, including low response rates, socioeconomic disparities in participation, difficulty finding contacts, and sampling inconsistencies. Conclusions: We are the first to explore VA using contact information from burial records in urban Bangladesh. While the approach shows promise, the current feasibility results are of limited value without substantially improving consent coverage, representativeness, and standardisation. Only with these improvements can this method meaningfully strengthen COD documentation and provide reliable insights into population-level mortality trends.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.