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Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model
BACKGROUND: The vast majority of deaths in the Kilifi study area are not recorded through official systems of vital registration. As a result, few data are available regarding causes of death in this population. OBJECTIVE: To describe the causes of death (CODs) among residents of all ages within the...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Co-Action Publishing
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4220144/ https://www.ncbi.nlm.nih.gov/pubmed/25377342 http://dx.doi.org/10.3402/gha.v7.25593 |
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author | Ndila, Carolyne Bauni, Evasius Mochamah, George Nyirongo, Vysaul Makazi, Alex Kosgei, Patrick Tsofa, Benjamin Nyutu, Gideon Etyang, Anthony Byass, Peter Williams, Thomas N. |
author_facet | Ndila, Carolyne Bauni, Evasius Mochamah, George Nyirongo, Vysaul Makazi, Alex Kosgei, Patrick Tsofa, Benjamin Nyutu, Gideon Etyang, Anthony Byass, Peter Williams, Thomas N. |
author_sort | Ndila, Carolyne |
collection | PubMed |
description | BACKGROUND: The vast majority of deaths in the Kilifi study area are not recorded through official systems of vital registration. As a result, few data are available regarding causes of death in this population. OBJECTIVE: To describe the causes of death (CODs) among residents of all ages within the Kilifi Health and Demographic Surveillance System (KHDSS) on the coast of Kenya. DESIGN: Verbal autopsies (VAs) were conducted using the 2007 World Health Organization (WHO) standard VA questionnaires, and VA data further transformed to align with the 2012 WHO VA instrument. CODs were then determined using the InterVA-4 computer-based probabilistic model. RESULTS: Five thousand one hundred and eighty seven deaths were recorded between January 2008 and December 2011. VA interviews were completed for 4,460 (86%) deaths. Neonatal pneumonia and birth asphyxia were the main CODs in neonates; pneumonia and malaria were the main CODs among infants and children aged 1–4, respectively, while HIV/AIDS was the main COD for adult women of reproductive age. Road traffic accidents were more commonly observed among men than women. Stroke and neoplasms were common CODs among the elderly over the age of 65. CONCLUSIONS: We have established the main CODs among people of all ages within the area served by the KHDSS on the coast of Kenya using the 2007 WHO VA questionnaire coded using InterVA-4. We hope that our data will allow local health planners to estimate the burden of various diseases and to allocate their limited resources more appropriately. |
format | Online Article Text |
id | pubmed-4220144 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Co-Action Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-42201442014-12-02 Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model Ndila, Carolyne Bauni, Evasius Mochamah, George Nyirongo, Vysaul Makazi, Alex Kosgei, Patrick Tsofa, Benjamin Nyutu, Gideon Etyang, Anthony Byass, Peter Williams, Thomas N. Glob Health Action Indepth Network Cause-Specific Mortality BACKGROUND: The vast majority of deaths in the Kilifi study area are not recorded through official systems of vital registration. As a result, few data are available regarding causes of death in this population. OBJECTIVE: To describe the causes of death (CODs) among residents of all ages within the Kilifi Health and Demographic Surveillance System (KHDSS) on the coast of Kenya. DESIGN: Verbal autopsies (VAs) were conducted using the 2007 World Health Organization (WHO) standard VA questionnaires, and VA data further transformed to align with the 2012 WHO VA instrument. CODs were then determined using the InterVA-4 computer-based probabilistic model. RESULTS: Five thousand one hundred and eighty seven deaths were recorded between January 2008 and December 2011. VA interviews were completed for 4,460 (86%) deaths. Neonatal pneumonia and birth asphyxia were the main CODs in neonates; pneumonia and malaria were the main CODs among infants and children aged 1–4, respectively, while HIV/AIDS was the main COD for adult women of reproductive age. Road traffic accidents were more commonly observed among men than women. Stroke and neoplasms were common CODs among the elderly over the age of 65. CONCLUSIONS: We have established the main CODs among people of all ages within the area served by the KHDSS on the coast of Kenya using the 2007 WHO VA questionnaire coded using InterVA-4. We hope that our data will allow local health planners to estimate the burden of various diseases and to allocate their limited resources more appropriately. Co-Action Publishing 2014-10-29 /pmc/articles/PMC4220144/ /pubmed/25377342 http://dx.doi.org/10.3402/gha.v7.25593 Text en © 2014 Carolyne Ndila et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Indepth Network Cause-Specific Mortality Ndila, Carolyne Bauni, Evasius Mochamah, George Nyirongo, Vysaul Makazi, Alex Kosgei, Patrick Tsofa, Benjamin Nyutu, Gideon Etyang, Anthony Byass, Peter Williams, Thomas N. Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model |
title | Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model |
title_full | Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model |
title_fullStr | Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model |
title_full_unstemmed | Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model |
title_short | Causes of death among persons of all ages within the Kilifi Health and Demographic Surveillance System, Kenya, determined from verbal autopsies interpreted using the InterVA-4 model |
title_sort | causes of death among persons of all ages within the kilifi health and demographic surveillance system, kenya, determined from verbal autopsies interpreted using the interva-4 model |
topic | Indepth Network Cause-Specific Mortality |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4220144/ https://www.ncbi.nlm.nih.gov/pubmed/25377342 http://dx.doi.org/10.3402/gha.v7.25593 |
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