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Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil
BACKGROUND: Accurate cause of death data are essential to guide health policy. However, mortality surveillance is limited in many low-income countries. In such settings, verbal autopsy (VA) is increasingly used to provide population-level cause of death data. VAs are now widely interpreted using the...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904092/ https://www.ncbi.nlm.nih.gov/pubmed/36776454 http://dx.doi.org/10.1016/j.lana.2021.100081 |
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author | Hart, John D. de André, Paulo Afonso de André, Carmen Diva Saldiva Adair, Tim Barroso, Lucia Pereira Valongueiro, Sandra Bierrenbach, Ana Luiza de Carvalho, Patrícia Ismael Antunes, Maria Bernadete de Cerqueira de Oliveira, Conceição Maria Pereira, Luiz Alberto Amador Minto, Cátia Martinez Bezerra, Tânia Maria da Silva Costa, Sérgio Parente de Azevedo, Bárbara Araújo de Lima, José Ricardo Alves Mota, Denise Souza de Meira Ramos, Ana Maria de Oliveira de Souza, Maria de Fátima Marinho da Silva, Luiz Fernando Ferraz França, Elisabeth Barboza McLaughlin, Deirdre Riley, Ian D. Saldiva, Paulo Hilário Nascimento |
author_facet | Hart, John D. de André, Paulo Afonso de André, Carmen Diva Saldiva Adair, Tim Barroso, Lucia Pereira Valongueiro, Sandra Bierrenbach, Ana Luiza de Carvalho, Patrícia Ismael Antunes, Maria Bernadete de Cerqueira de Oliveira, Conceição Maria Pereira, Luiz Alberto Amador Minto, Cátia Martinez Bezerra, Tânia Maria da Silva Costa, Sérgio Parente de Azevedo, Bárbara Araújo de Lima, José Ricardo Alves Mota, Denise Souza de Meira Ramos, Ana Maria de Oliveira de Souza, Maria de Fátima Marinho da Silva, Luiz Fernando Ferraz França, Elisabeth Barboza McLaughlin, Deirdre Riley, Ian D. Saldiva, Paulo Hilário Nascimento |
author_sort | Hart, John D. |
collection | PubMed |
description | BACKGROUND: Accurate cause of death data are essential to guide health policy. However, mortality surveillance is limited in many low-income countries. In such settings, verbal autopsy (VA) is increasingly used to provide population-level cause of death data. VAs are now widely interpreted using the automated algorithms SmartVA and InterVA. Here we use conventional autopsy as the gold standard to validate SmartVA methodology. METHODS: This study included adult deaths from natural causes in São Paulo and Recife for which conventional autopsy was indicated. VA was conducted with a relative of the deceased using an amended version of the SmartVA instrument to suit the local context. Causes of death from VA were produced using the SmartVA-Analyze program. Physician coded verbal autopsy (PCVA), conducted on the same questionnaires, and Global Burden of Disease Study data were used as additional comparators. Cause of death data were grouped into 10 broad causes for the validation due to the real-world utility of VA lying in identifying broad population cause of death patterns. FINDINGS: The study included 2,060 deaths in São Paulo and 1,079 in Recife. The cause specific mortality fractions (CSMFs) estimated using SmartVA were broadly similar to conventional autopsy for: cardiovascular diseases (46.8% vs 54.0%, respectively), cancers (10.6% vs 11.4%), infections (7.0% vs 10.4%) and chronic respiratory disease (4.1% vs 3.7%), causes accounting for 76.1% of the autopsy dataset. The SmartVA CSMF estimates were lower than autopsy for “Other NCDs” (7.8% vs 14.6%) and higher for diabetes (13.0% vs 6.6%). CSMF accuracy of SmartVA compared to autopsy was 84.5%. CSMF accuracy for PCVA was 93.0%. INTERPRETATION: The results suggest that SmartVA can, with reasonable accuracy, predict the broad cause of death groups important to assess a population's epidemiological transition. VA remains a useful tool for understanding causes of death where medical certification is not possible. |
format | Online Article Text |
id | pubmed-9904092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-99040922023-02-10 Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil Hart, John D. de André, Paulo Afonso de André, Carmen Diva Saldiva Adair, Tim Barroso, Lucia Pereira Valongueiro, Sandra Bierrenbach, Ana Luiza de Carvalho, Patrícia Ismael Antunes, Maria Bernadete de Cerqueira de Oliveira, Conceição Maria Pereira, Luiz Alberto Amador Minto, Cátia Martinez Bezerra, Tânia Maria da Silva Costa, Sérgio Parente de Azevedo, Bárbara Araújo de Lima, José Ricardo Alves Mota, Denise Souza de Meira Ramos, Ana Maria de Oliveira de Souza, Maria de Fátima Marinho da Silva, Luiz Fernando Ferraz França, Elisabeth Barboza McLaughlin, Deirdre Riley, Ian D. Saldiva, Paulo Hilário Nascimento Lancet Reg Health Am Articles BACKGROUND: Accurate cause of death data are essential to guide health policy. However, mortality surveillance is limited in many low-income countries. In such settings, verbal autopsy (VA) is increasingly used to provide population-level cause of death data. VAs are now widely interpreted using the automated algorithms SmartVA and InterVA. Here we use conventional autopsy as the gold standard to validate SmartVA methodology. METHODS: This study included adult deaths from natural causes in São Paulo and Recife for which conventional autopsy was indicated. VA was conducted with a relative of the deceased using an amended version of the SmartVA instrument to suit the local context. Causes of death from VA were produced using the SmartVA-Analyze program. Physician coded verbal autopsy (PCVA), conducted on the same questionnaires, and Global Burden of Disease Study data were used as additional comparators. Cause of death data were grouped into 10 broad causes for the validation due to the real-world utility of VA lying in identifying broad population cause of death patterns. FINDINGS: The study included 2,060 deaths in São Paulo and 1,079 in Recife. The cause specific mortality fractions (CSMFs) estimated using SmartVA were broadly similar to conventional autopsy for: cardiovascular diseases (46.8% vs 54.0%, respectively), cancers (10.6% vs 11.4%), infections (7.0% vs 10.4%) and chronic respiratory disease (4.1% vs 3.7%), causes accounting for 76.1% of the autopsy dataset. The SmartVA CSMF estimates were lower than autopsy for “Other NCDs” (7.8% vs 14.6%) and higher for diabetes (13.0% vs 6.6%). CSMF accuracy of SmartVA compared to autopsy was 84.5%. CSMF accuracy for PCVA was 93.0%. INTERPRETATION: The results suggest that SmartVA can, with reasonable accuracy, predict the broad cause of death groups important to assess a population's epidemiological transition. VA remains a useful tool for understanding causes of death where medical certification is not possible. Elsevier 2021-10-31 /pmc/articles/PMC9904092/ /pubmed/36776454 http://dx.doi.org/10.1016/j.lana.2021.100081 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Articles Hart, John D. de André, Paulo Afonso de André, Carmen Diva Saldiva Adair, Tim Barroso, Lucia Pereira Valongueiro, Sandra Bierrenbach, Ana Luiza de Carvalho, Patrícia Ismael Antunes, Maria Bernadete de Cerqueira de Oliveira, Conceição Maria Pereira, Luiz Alberto Amador Minto, Cátia Martinez Bezerra, Tânia Maria da Silva Costa, Sérgio Parente de Azevedo, Bárbara Araújo de Lima, José Ricardo Alves Mota, Denise Souza de Meira Ramos, Ana Maria de Oliveira de Souza, Maria de Fátima Marinho da Silva, Luiz Fernando Ferraz França, Elisabeth Barboza McLaughlin, Deirdre Riley, Ian D. Saldiva, Paulo Hilário Nascimento Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil |
title | Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil |
title_full | Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil |
title_fullStr | Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil |
title_full_unstemmed | Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil |
title_short | Validation of SmartVA using conventional autopsy: A study of adult deaths in Brazil |
title_sort | validation of smartva using conventional autopsy: a study of adult deaths in brazil |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9904092/ https://www.ncbi.nlm.nih.gov/pubmed/36776454 http://dx.doi.org/10.1016/j.lana.2021.100081 |
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