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Generating cause of death information to inform health policy: implementation of an automated verbal autopsy system in the Solomon Islands
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 c...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590305/ https://www.ncbi.nlm.nih.gov/pubmed/34774055 http://dx.doi.org/10.1186/s12889-021-12180-y |
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author | Reeve, Matthew Chowdhury, Hafizur Mahesh, Pasyodun Koralage Buddhika Jilini, Gregory Jagilly, Rooney Kamoriki, Baakai Ruskin, Rodley McLaughlin, Deirdre Lopez, Alan D. |
author_facet | Reeve, Matthew Chowdhury, Hafizur Mahesh, Pasyodun Koralage Buddhika Jilini, Gregory Jagilly, Rooney Kamoriki, Baakai Ruskin, Rodley McLaughlin, Deirdre Lopez, Alan D. |
author_sort | Reeve, Matthew |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12180-y. |
format | Online Article Text |
id | pubmed-8590305 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85903052021-11-15 Generating cause of death information to inform health policy: implementation of an automated verbal autopsy system in the Solomon Islands Reeve, Matthew Chowdhury, Hafizur Mahesh, Pasyodun Koralage Buddhika Jilini, Gregory Jagilly, Rooney Kamoriki, Baakai Ruskin, Rodley McLaughlin, Deirdre Lopez, Alan D. BMC Public Health Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12180-y. BioMed Central 2021-11-13 /pmc/articles/PMC8590305/ /pubmed/34774055 http://dx.doi.org/10.1186/s12889-021-12180-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Reeve, Matthew Chowdhury, Hafizur Mahesh, Pasyodun Koralage Buddhika Jilini, Gregory Jagilly, Rooney Kamoriki, Baakai Ruskin, Rodley McLaughlin, Deirdre Lopez, Alan D. Generating cause of death information to inform health policy: implementation of an automated verbal autopsy system in the Solomon Islands |
title | 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_short | 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 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590305/ https://www.ncbi.nlm.nih.gov/pubmed/34774055 http://dx.doi.org/10.1186/s12889-021-12180-y |
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