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

Abstract Background Good 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 i...

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Autores principales: Matthew Reeve, Hafizur Chowdhury, Pasyodun Koralage Buddhika Mahesh, Gregory Jilini, Rooney Jagilly, Baakai Kamoriki, Rodley Ruskin, Deirdre McLaughlin, Alan D. Lopez
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spelling oai:doaj.org-article:9ac43f87a0cb480e8e88c1fa78b5e2aa2021-11-14T12:14:32ZGenerating cause of death information to inform health policy: implementation of an automated verbal autopsy system in the Solomon Islands10.1186/s12889-021-12180-y1471-2458https://doaj.org/article/9ac43f87a0cb480e8e88c1fa78b5e2aa2021-11-01T00:00:00Zhttps://doi.org/10.1186/s12889-021-12180-yhttps://doaj.org/toc/1471-2458Abstract Background Good 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. Methods Automated 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. Results VA 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. Conclusions NCDs 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.Matthew ReeveHafizur ChowdhuryPasyodun Koralage Buddhika MaheshGregory JiliniRooney JagillyBaakai KamorikiRodley RuskinDeirdre McLaughlinAlan D. LopezBMCarticleVerbal autopsySolomon IslandsCivil registration and vital statisticsSmartVATariff methodCauses of deathPublic aspects of medicineRA1-1270ENBMC Public Health, Vol 21, Iss 1, Pp 1-10 (2021)
institution DOAJ
collection DOAJ
language EN
topic Verbal autopsy
Solomon Islands
Civil registration and vital statistics
SmartVA
Tariff method
Causes of death
Public aspects of medicine
RA1-1270
spellingShingle Verbal autopsy
Solomon Islands
Civil registration and vital statistics
SmartVA
Tariff method
Causes of death
Public aspects of medicine
RA1-1270
Matthew Reeve
Hafizur Chowdhury
Pasyodun Koralage Buddhika Mahesh
Gregory Jilini
Rooney Jagilly
Baakai Kamoriki
Rodley Ruskin
Deirdre McLaughlin
Alan D. Lopez
Generating cause of death information to inform health policy: implementation of an automated verbal autopsy system in the Solomon Islands
description Abstract Background Good 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. Methods Automated 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. Results VA 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. Conclusions NCDs 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.
format article
author Matthew Reeve
Hafizur Chowdhury
Pasyodun Koralage Buddhika Mahesh
Gregory Jilini
Rooney Jagilly
Baakai Kamoriki
Rodley Ruskin
Deirdre McLaughlin
Alan D. Lopez
author_facet Matthew Reeve
Hafizur Chowdhury
Pasyodun Koralage Buddhika Mahesh
Gregory Jilini
Rooney Jagilly
Baakai Kamoriki
Rodley Ruskin
Deirdre McLaughlin
Alan D. Lopez
author_sort Matthew Reeve
title Generating cause of death information to inform health policy: implementation of an automated verbal autopsy system in the Solomon Islands
title_short Generating cause of death information to inform health policy: implementation of an automated verbal autopsy system in the Solomon Islands
title_full Generating cause of death information to inform health policy: implementation of an automated verbal autopsy system in the Solomon Islands
title_fullStr Generating cause of death information to inform health policy: implementation of an automated verbal autopsy system in the Solomon Islands
title_full_unstemmed Generating cause of death information to inform health policy: implementation of an automated verbal autopsy system in the Solomon Islands
title_sort generating cause of death information to inform health policy: implementation of an automated verbal autopsy system in the solomon islands
publisher BMC
publishDate 2021
url https://doaj.org/article/9ac43f87a0cb480e8e88c1fa78b5e2aa
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