Evidence map›Paper›PMID 34774055›Full record

ArticleBMC public health2021

Generating cause of death information to inform health policy: implementation of an automated verbal autopsy system in the Solomon Islands.

Matthew Reeve, Hafizur Chowdhury, Pasyodun Koralage Buddhika Mahesh, Gregory Jilini, Rooney Jagilly, Baakai Kamoriki, Rodley Ruskin, Deirdre McLaughlin, 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 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 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

9 authors at 2 institutions in 2 countries.

Matthew ReeveBloomberg Philanthropies Data for Health Initiative, University of Melbourne, Melbourne, Australia. mreeve@unimelb.edu.au.
Hafizur ChowdhuryBloomberg Philanthropies Data for Health Initiative, University of Melbourne, Melbourne, Australia.
Pasyodun Koralage Buddhika MaheshBloomberg Philanthropies Data for Health Initiative, University of Melbourne, Melbourne, Australia.
Gregory JiliniMinistry of Health & Medical Services, Honiara, Solomon Islands.
Rooney JagillyMinistry of Health & Medical Services, Honiara, Solomon Islands.
Baakai KamorikiMinistry of Health & Medical Services, Honiara, Solomon Islands.
Rodley RuskinMinistry of Health & Medical Services, Honiara, Solomon Islands.
Deirdre McLaughlinBloomberg Philanthropies Data for Health Initiative, University of Melbourne, Melbourne, Australia.
Alan D LopezUniversity of Washington, Seattle, USA.
University of Melbourne · AUSeattle University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGood quality cause of death (COD) information is fundamental for formulating and evaluating public health policy; yet most deaths in developing countries, including the Solomon Islands, occur at home without medical certification of cause of death (MCCOD). As a result, COD data in such contexts are often of limited use for policy and planning. Verbal autopsies (VAs) are a cost-effective way of generating reliable COD information in populations lacking comprehensive MCCOD coverage, but this method has not previously been applied in the Solomon Islands. This study describes the establishment of a VA system to estimate the cause specific mortality fractions (CSMFs) for community deaths that are not medically certified in the Solomon Islands.

methodsAutomated VA methods (SmartVA) were introduced into the Solomon Islands in 2016. Trained data collectors (nurses) conducted VAs on eligible deaths to December 2020 using electronic tablet devices and VA responses were analysed using the Tariff 2.0 automated diagnostic algorithm. CSMFs were generated for both non-inpatient deaths in hospitals (i.e. 'dead on/by arrival') and community deaths.

resultsVA was applied to 914 adolescent-and-adult deaths with a median (IQR) age of 62 (45-75) years, 61% of whom were males. A specific COD could be diagnosed for more than 85% of deaths. The leading causes of death for both sexes combined were: ischemic heart disease (16.3%), stroke (13.5%), diabetes (8.1%), pneumonia (5.7%) and chronic-respiratory disease (4.8%). Stroke was the top-ranked cause for females, and ischaemic heart disease the leading cause for males. The CSMFs from the VAs were similar to Global Burden of Disease (GBD) estimates. Overall, non-communicable diseases (NCDs) accounted for 73% of adult deaths; communicable, maternal and nutritional conditions 15%, and injuries 12%. Six of the ten leading causes reported for facility deaths in the Solomon Islands were also identified as leading causes of community deaths based on the VA diagnoses.

conclusionsNCDs are the leading cause of adult deaths in the Solomon Islands. Automated VA methods are an effective means of generating reliable COD information for community deaths in the Solomon Islands and should be routinely incorporated into the national mortality surveillance system.

Indexed as

Global Burden of DiseaseHealth PolicyAdolescentAdultAgedAutopsyCause of DeathFemaleHumansMaleMelanesiaMiddle AgedCauses of deathCivil registration and vital statisticsSmartVASolomon IslandsTariff methodVerbal autopsy

Identifiers

PMID34774055
PMCPMC8590305
OpenAlexW3211962578

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.