Evidence map›Paper›PMID 42476629›Full record

ArticleBMJ global health2026

Determining causes of death through an abridged verbal autopsy tool: a pilot test conducted among vulnerable communities in Kolkata, India.

Suman Kanungo, Melissa Glenda Lewis, Diplina Barman, Prantick Kumar Bhunia, Suparna Chatterjee, Sandip Samanta, Dipti Yadav, Sudipta Pati, Rounik Talukdar, Shubarna Chakraborty and 6 more

Abstract readValidation Study
In one paragraph

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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

16 authors.

Suman KanungoICMR National Institute for Research in Bacterial Infections (ICMR-NIRBI), Kolkata, West Bengal, India sumankanungo@gmail.com.ORCID http://orcid.org/0000-0003-4441-4443
Melissa Glenda LewisICMR National Institute for Research in Bacterial Infections (ICMR-NIRBI), Kolkata, West Bengal, India.ORCID http://orcid.org/0000-0002-9649-4011
Diplina BarmanICMR National Institute for Research in Bacterial Infections (ICMR-NIRBI), Kolkata, West Bengal, India.
Prantick Kumar BhuniaCalcutta Medical College, Kolkata, West Bengal, India.
Suparna ChatterjeeInstitute of Postgraduate Medical Education and Research, Kolkata, West Bengal, India.
Sandip SamantaDr B C Roy Post Graduate Institute of Pediatric Sciences, Kolkata, West Bengal, India.
Dipti YadavICMR National Institute for Research in Bacterial Infections (ICMR-NIRBI), Kolkata, West Bengal, India.
Sudipta PatiICMR National Institute for Research in Bacterial Infections (ICMR-NIRBI), Kolkata, West Bengal, India.ORCID http://orcid.org/0009-0007-0042-7070
Rounik TalukdarICMR National Institute for Research in Bacterial Infections (ICMR-NIRBI), Kolkata, West Bengal, India.
Shubarna ChakrabortyICMR National Institute for Research in Bacterial Infections (ICMR-NIRBI), Kolkata, West Bengal, India.
Indrani DasInstitute of Postgraduate Medical Education and Research, Kolkata, West Bengal, India.
Amitabha ChattopadhyayaInfectious Diseases & Beleghata General Hospital, Kolkata, West Bengal, India.
Soumitra GhoshCalcutta Medical College, Kolkata, West Bengal, India.
Kalpana DattaCalcutta Medical College, Kolkata, West Bengal, India.
Henry D KalterJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID http://orcid.org/0000-0002-4165-2393
Debarati Guha-SapirCentre for Research on the Epidemiology of Disasters, Universite Catholique de Louvain - Ecole Sante Public, Louvain, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUsers often regard the 2022 WHO verbal autopsy (VA) instrument as lengthy and time-consuming to implement, emphasising the need for a more concise and practical tool, particularly for use in unstable or resource-limited settings. This study aimed to develop, pilot test and validate an abridged version of the WHO VA instrument capable of identifying probable causes of neonatal (0-27 days), child (1 month-11 years) and adult (12-49 years) deaths in vulnerable populations.

methodsAn abridged VA instrument based on the expert algorithm method was developed and applied to deaths recorded between 2021 and 2022 in three tertiary general hospitals and one tertiary paediatric hospital in Kolkata, West Bengal. VA interviews were conducted between July 2024 and January 2025. Causes of death were assigned using two approaches: (1) underlying medical record diagnoses and (2) a hierarchical computer-based VA algorithm. Diagnostic metrics were used to validate algorithmic causes against medical diagnoses.

resultsAmong 270 deaths (90 per age group), 95.5% yielded a VA diagnosis. Among neonates, the leading causes were sepsis (34.4%: 83.8% VA sensitivity, 94.9% VA specificity), IPRE (25.6%: 69.6%, 97.0%) and pneumonia (16.7%: 100%, 98.7%). Among children, the two most common medical diagnoses were pneumonia (53.3%: 100%, 50%) and other infections including sepsis without a known source (25.6%: 21.7%, 98.5%). Among adults, the two most common medical diagnostic categories were acute febrile illness (38.5%: 80.9%, 98.6%) and cardiovascular diseases (38.5%: 100%, 98.6%). The accuracy of the new VA instrument compared with the medical diagnosis was 81.1% for neonates, 71.1% for children and 87.8% for adults, with an overall accuracy of 80%.

conclusionThe abridged VA instrument demonstrated satisfactory accuracy in identifying the probable causes of death across all age groups in the study populations. This instrument holds potential for enhancing cause-of-death reporting in resource-limited settings.

Indexed as

AutopsyCause of DeathAdolescentAdultAlgorithmsChildChild, PreschoolFemaleHumansIndiaInfantInfant, NewbornMaleMiddle AgedPilot ProjectsYoung AdultChild healthDecision MakingEpidemiologyGlobal HealthPublic Health

Identifiers

PMID42476629
PMCPMC13386064

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