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.
Identifieur interne : 000860 ( PubMed/Curation ); précédent : 000859; suivant : 000861Causes 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.
Auteurs : Carolyne Ndila [Kenya] ; Evasius Bauni [Kenya] ; George Mochamah [Kenya] ; Vysaul Nyirongo [États-Unis] ; Alex Makazi [Kenya] ; Patrick Kosgei [Kenya] ; Benjamin Tsofa [Kenya] ; Gideon Nyutu [Kenya] ; Anthony Etyang [Kenya] ; Peter Byass [Suède] ; Thomas N. Williams [Kenya]Source :
- Global health action [ 1654-9880 ] ; 2014.
Abstract
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.
DOI: 10.3402/gha.v7.25593
PubMed: 28672445
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Williams</name><affiliation wicri:level="1"><nlm:affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</nlm:affiliation><country xml:lang="fr">Kenya</country><wicri:regionArea>a KEMRI-Wellcome Trust Research Programme Kilifi </wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:28672445</idno><idno type="pmid">28672445</idno><idno type="doi">10.3402/gha.v7.25593</idno><idno type="wicri:Area/PubMed/Corpus">000861</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000861</idno><idno type="wicri:Area/PubMed/Curation">000860</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000860</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">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><author><name sortKey="Ndila, Carolyne" sort="Ndila, Carolyne" uniqKey="Ndila C" first="Carolyne" last="Ndila">Carolyne Ndila</name><affiliation wicri:level="1"><nlm:affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</nlm:affiliation><country xml:lang="fr">Kenya</country><wicri:regionArea>a KEMRI-Wellcome Trust Research Programme Kilifi </wicri:regionArea></affiliation></author><author><name sortKey="Bauni, Evasius" sort="Bauni, Evasius" uniqKey="Bauni E" first="Evasius" last="Bauni">Evasius Bauni</name><affiliation wicri:level="1"><nlm:affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</nlm:affiliation><country xml:lang="fr">Kenya</country><wicri:regionArea>a KEMRI-Wellcome Trust Research Programme Kilifi </wicri:regionArea></affiliation></author><author><name sortKey="Mochamah, George" sort="Mochamah, George" uniqKey="Mochamah G" first="George" last="Mochamah">George Mochamah</name><affiliation wicri:level="1"><nlm:affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</nlm:affiliation><country xml:lang="fr">Kenya</country><wicri:regionArea>a KEMRI-Wellcome Trust Research Programme Kilifi </wicri:regionArea></affiliation></author><author><name sortKey="Nyirongo, Vysaul" sort="Nyirongo, Vysaul" uniqKey="Nyirongo V" first="Vysaul" last="Nyirongo">Vysaul Nyirongo</name><affiliation wicri:level="1"><nlm:affiliation>c United Nation Statistics Division , New York , NY , USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>c United Nation Statistics Division , New York , NY </wicri:regionArea></affiliation></author><author><name sortKey="Makazi, Alex" sort="Makazi, Alex" uniqKey="Makazi A" first="Alex" last="Makazi">Alex Makazi</name><affiliation wicri:level="1"><nlm:affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</nlm:affiliation><country xml:lang="fr">Kenya</country><wicri:regionArea>a KEMRI-Wellcome Trust Research Programme Kilifi </wicri:regionArea></affiliation></author><author><name sortKey="Kosgei, Patrick" sort="Kosgei, Patrick" uniqKey="Kosgei P" first="Patrick" last="Kosgei">Patrick Kosgei</name><affiliation wicri:level="1"><nlm:affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</nlm:affiliation><country xml:lang="fr">Kenya</country><wicri:regionArea>a KEMRI-Wellcome Trust Research Programme Kilifi </wicri:regionArea></affiliation></author><author><name sortKey="Tsofa, Benjamin" sort="Tsofa, Benjamin" uniqKey="Tsofa B" first="Benjamin" last="Tsofa">Benjamin Tsofa</name><affiliation wicri:level="1"><nlm:affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</nlm:affiliation><country xml:lang="fr">Kenya</country><wicri:regionArea>a KEMRI-Wellcome Trust Research Programme Kilifi </wicri:regionArea></affiliation></author><author><name sortKey="Nyutu, Gideon" sort="Nyutu, Gideon" uniqKey="Nyutu G" first="Gideon" last="Nyutu">Gideon Nyutu</name><affiliation wicri:level="1"><nlm:affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</nlm:affiliation><country xml:lang="fr">Kenya</country><wicri:regionArea>a KEMRI-Wellcome Trust Research Programme Kilifi </wicri:regionArea></affiliation></author><author><name sortKey="Etyang, Anthony" sort="Etyang, Anthony" uniqKey="Etyang A" first="Anthony" last="Etyang">Anthony Etyang</name><affiliation wicri:level="1"><nlm:affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</nlm:affiliation><country xml:lang="fr">Kenya</country><wicri:regionArea>a KEMRI-Wellcome Trust Research Programme Kilifi </wicri:regionArea></affiliation></author><author><name sortKey="Byass, Peter" sort="Byass, Peter" uniqKey="Byass P" first="Peter" last="Byass">Peter Byass</name><affiliation wicri:level="1"><nlm:affiliation>d Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine , Umea University , Umeå , Sweden.</nlm:affiliation><country xml:lang="fr">Suède</country><wicri:regionArea>d Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine , Umea University , Umeå </wicri:regionArea></affiliation></author><author><name sortKey="Williams, Thomas N" sort="Williams, Thomas N" uniqKey="Williams T" first="Thomas N" last="Williams">Thomas N. Williams</name><affiliation wicri:level="1"><nlm:affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</nlm:affiliation><country xml:lang="fr">Kenya</country><wicri:regionArea>a KEMRI-Wellcome Trust Research Programme Kilifi </wicri:regionArea></affiliation></author></analytic><series><title level="j">Global health action</title><idno type="eISSN">1654-9880</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">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.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">28672445</PMID><DateCreated><Year>2017</Year><Month>07</Month><Day>04</Day></DateCreated><DateRevised><Year>2017</Year><Month>07</Month><Day>04</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1654-9880</ISSN><JournalIssue CitedMedium="Internet"><Volume>7</Volume><Issue>1</Issue><PubDate><Year>2014</Year><Month>Dec</Month></PubDate></JournalIssue><Title>Global health action</Title><ISOAbbreviation>Glob Health Action</ISOAbbreviation></Journal><ArticleTitle>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.</ArticleTitle><Pagination><MedlinePgn>25593</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3402/gha.v7.25593</ELocationID><Abstract><AbstractText>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.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ndila</LastName><ForeName>Carolyne</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>b INDEPTH Network of Demographic Surveillance Sites Accra , Ghana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Bauni</LastName><ForeName>Evasius</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>b INDEPTH Network of Demographic Surveillance Sites Accra , Ghana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mochamah</LastName><ForeName>George</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>b INDEPTH Network of Demographic Surveillance Sites Accra , Ghana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Nyirongo</LastName><ForeName>Vysaul</ForeName><Initials>V</Initials><AffiliationInfo><Affiliation>c United Nation Statistics Division , New York , NY , USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Makazi</LastName><ForeName>Alex</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kosgei</LastName><ForeName>Patrick</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tsofa</LastName><ForeName>Benjamin</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Nyutu</LastName><ForeName>Gideon</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>b INDEPTH Network of Demographic Surveillance Sites Accra , Ghana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Etyang</LastName><ForeName>Anthony</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Byass</LastName><ForeName>Peter</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>d Umeå Centre for Global Health Research, Department of Public Health and Clinical Medicine , Umea University , Umeå , Sweden.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Williams</LastName><ForeName>Thomas N</ForeName><Initials>TN</Initials><AffiliationInfo><Affiliation>a KEMRI-Wellcome Trust Research Programme Kilifi , Kenya.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>b INDEPTH Network of Demographic Surveillance Sites Accra , Ghana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>e Department of Medicine Imperial College , London , UK.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Glob Health Action</MedlineTA><NlmUniqueID>101496665</NlmUniqueID><ISSNLinking>1654-9880</ISSNLinking></MedlineJournalInfo><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">InterVA-4</Keyword><Keyword MajorTopicYN="N">Kenya</Keyword><Keyword MajorTopicYN="N">cause-specific mortality fraction</Keyword><Keyword MajorTopicYN="N">verbal autopsy</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>7</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>12</Month><Day>1</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>12</Month><Day>1</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">28672445</ArticleId><ArticleId IdType="doi">10.3402/gha.v7.25593</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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