Evidence map›Paper›PMID 33706739›Full record

ArticleBMC public health2021

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.

Md Toufiq Hassan Shawon, Shah Ali Akbar Ashrafi, Abul Kalam Azad, Sonja M Firth, Hafizur Chowdhury, Robert G Mswia, Tim Adair, Ian Riley, Carla Abouzahr, Alan D Lopez

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 3 institutions in 3 countries.

Md Toufiq Hassan ShawonDirectorate General of Health Services, Ministry of Health and Family Welfare, Dhaka, Bangladesh.
Shah Ali Akbar AshrafiData for Health Initiative, Vital Strategies, Dhaka, Bangladesh.
Abul Kalam AzadDirectorate General of Health Services, Ministry of Health and Family Welfare, Dhaka, Bangladesh.
Sonja M FirthSchool of Population and Global Health, University of Melbourne, Parkville, VIC, Australia. sonja.firth@unimelb.edu.au.ORCID 0000-0002-2189-0263
Hafizur ChowdhurySchool of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
Robert G MswiaVital Strategies, New York, USA.
Tim AdairSchool of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
Ian RileySchool of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
Carla AbouzahrData for Health Initiative, Vital Strategies, Geneva, Switzerland.
Alan D LopezSchool of Population and Global Health, University of Melbourne, Parkville, VIC, Australia.
The University of Melbourne · AUDirectorate General of Health Services · BDVital Strategies · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 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.

methodsData 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.

resultsCompleteness 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.

conclusionsRoutine 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.

Indexed as

Noncommunicable DiseasesAdultAutopsyBangladeshCause of DeathChildHospitalsHumansAutomated verbal autopsyBangladeshCauses of deathCommunity deathsMortality statistics

Identifiers

PMID33706739
PMCPMC7952220
OpenAlexW3134771752

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.