Estimating cause of adult (15+ years) death using InterVA-4 in a rural district of southern Ghana.
Identifieur interne : 000B58 ( Ncbi/Merge ); précédent : 000B57; suivant : 000B59Estimating cause of adult (15+ years) death using InterVA-4 in a rural district of southern Ghana.
Auteurs : Elizabeth Awini [Ghana] ; Doris Sarpong [Ghana] ; Alexander Adjei [Ghana] ; Alfred Kwesi Manyeh [Ghana] ; Alberta Amu [Ghana] ; Patricia Akweongo [Ghana] ; Philip Adongo [Ghana] ; Vida Kukula [Ghana] ; Gabriel Odonkor [Ghana] ; Solomon Narh [Ghana] ; Margaret Gyapong [Ghana]Source :
- Global health action [ 1654-9880 ] ; 2014.
Abstract
Background Data needed to estimate causes of death and the pattern of these deaths are scarce in sub-Saharan Africa. Such data are very important for targeting, monitoring, and evaluating health interventions. Objective To estimate the mortality rate and determine causes of death among adults (aged 15 years and older) in a rural district of southern Ghana, using the InterVA-4 model. Design Data used were generated from verbal autopsies conducted for registered adult members of the Dodowa Health and Demographic Surveillance System who died between 2006 and 2010. The InterVA-4 model was used to assign the cause of death. Results Overall, the mortality rate for the period under review was 7.5/1,000 person-years (py) for the general population and 10.4/1,000 py for those aged 15 and older. The leading cause of death was communicable diseases (CDs), with a malaria-specific mortality rate of 1.06/1,000 py. Pulmonary tuberculosis (TB)-specific mortality rate was the next highest (1.01/1,000 py). HIV/AIDS attributed deaths were lower among males than females. Non-communicable diseases (NCDs) contributed to 28.3% of the deaths with cause-specific mortality rate of 2.93/1,000 py. Stroke topped the list with cause-specific mortality rate of 0.69/1,000 py. As expected, young males (15-49 years) contributed to more road traffic accident (RTA) deaths; they had a lower RTA cause-specific mortality rate than older males (50-64 years). Conclusions Data indicate that CDs (e.g. malaria and TB) remain the major cause of death with NCDs (e.g. stroke) following closely behind. Verbal autopsy data can provide the causes of mortality in poorly resourced settings where access to timely and accurate data is scarce.
DOI: 10.3402/gha.v7.25543
PubMed: 28672652
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wicri:level="1"><nlm:affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</nlm:affiliation><country xml:lang="fr">Ghana</country><wicri:regionArea>a Dodowa Health Research Centre , Dodowa </wicri:regionArea><wicri:noRegion>Dodowa </wicri:noRegion></affiliation></author><author><name sortKey="Sarpong, Doris" sort="Sarpong, Doris" uniqKey="Sarpong D" first="Doris" last="Sarpong">Doris Sarpong</name><affiliation wicri:level="1"><nlm:affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</nlm:affiliation><country xml:lang="fr">Ghana</country><wicri:regionArea>a Dodowa Health Research Centre , Dodowa </wicri:regionArea><wicri:noRegion>Dodowa </wicri:noRegion></affiliation></author><author><name sortKey="Adjei, Alexander" sort="Adjei, Alexander" uniqKey="Adjei A" first="Alexander" last="Adjei">Alexander Adjei</name><affiliation wicri:level="1"><nlm:affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</nlm:affiliation><country xml:lang="fr">Ghana</country><wicri:regionArea>a Dodowa Health Research Centre , Dodowa </wicri:regionArea><wicri:noRegion>Dodowa </wicri:noRegion></affiliation></author><author><name sortKey="Manyeh, Alfred Kwesi" sort="Manyeh, Alfred Kwesi" uniqKey="Manyeh A" first="Alfred Kwesi" last="Manyeh">Alfred Kwesi Manyeh</name><affiliation wicri:level="1"><nlm:affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</nlm:affiliation><country xml:lang="fr">Ghana</country><wicri:regionArea>a Dodowa Health Research Centre , Dodowa </wicri:regionArea><wicri:noRegion>Dodowa </wicri:noRegion></affiliation></author><author><name sortKey="Amu, Alberta" sort="Amu, Alberta" uniqKey="Amu A" first="Alberta" last="Amu">Alberta Amu</name><affiliation wicri:level="1"><nlm:affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</nlm:affiliation><country xml:lang="fr">Ghana</country><wicri:regionArea>a Dodowa Health Research Centre , Dodowa </wicri:regionArea><wicri:noRegion>Dodowa </wicri:noRegion></affiliation></author><author><name sortKey="Akweongo, Patricia" sort="Akweongo, Patricia" uniqKey="Akweongo P" first="Patricia" last="Akweongo">Patricia Akweongo</name><affiliation wicri:level="1"><nlm:affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</nlm:affiliation><country xml:lang="fr">Ghana</country><wicri:regionArea>a Dodowa Health Research Centre , Dodowa </wicri:regionArea><wicri:noRegion>Dodowa </wicri:noRegion></affiliation></author><author><name sortKey="Adongo, Philip" sort="Adongo, Philip" uniqKey="Adongo P" first="Philip" last="Adongo">Philip Adongo</name><affiliation wicri:level="1"><nlm:affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</nlm:affiliation><country xml:lang="fr">Ghana</country><wicri:regionArea>a Dodowa Health Research Centre , Dodowa </wicri:regionArea><wicri:noRegion>Dodowa </wicri:noRegion></affiliation></author><author><name sortKey="Kukula, Vida" sort="Kukula, Vida" uniqKey="Kukula V" first="Vida" last="Kukula">Vida Kukula</name><affiliation wicri:level="1"><nlm:affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</nlm:affiliation><country xml:lang="fr">Ghana</country><wicri:regionArea>a Dodowa Health Research Centre , Dodowa </wicri:regionArea><wicri:noRegion>Dodowa </wicri:noRegion></affiliation></author><author><name sortKey="Odonkor, Gabriel" sort="Odonkor, Gabriel" uniqKey="Odonkor G" first="Gabriel" last="Odonkor">Gabriel Odonkor</name><affiliation wicri:level="1"><nlm:affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</nlm:affiliation><country xml:lang="fr">Ghana</country><wicri:regionArea>a Dodowa Health Research Centre , Dodowa </wicri:regionArea><wicri:noRegion>Dodowa </wicri:noRegion></affiliation></author><author><name sortKey="Narh, Solomon" sort="Narh, Solomon" uniqKey="Narh S" first="Solomon" last="Narh">Solomon Narh</name><affiliation wicri:level="1"><nlm:affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</nlm:affiliation><country xml:lang="fr">Ghana</country><wicri:regionArea>a Dodowa Health Research Centre , Dodowa </wicri:regionArea><wicri:noRegion>Dodowa </wicri:noRegion></affiliation></author><author><name sortKey="Gyapong, Margaret" sort="Gyapong, Margaret" uniqKey="Gyapong M" first="Margaret" last="Gyapong">Margaret Gyapong</name><affiliation wicri:level="1"><nlm:affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</nlm:affiliation><country xml:lang="fr">Ghana</country><wicri:regionArea>a Dodowa Health Research Centre , Dodowa </wicri:regionArea><wicri:noRegion>Dodowa </wicri:noRegion></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 Data needed to estimate causes of death and the pattern of these deaths are scarce in sub-Saharan Africa. Such data are very important for targeting, monitoring, and evaluating health interventions. Objective To estimate the mortality rate and determine causes of death among adults (aged 15 years and older) in a rural district of southern Ghana, using the InterVA-4 model. Design Data used were generated from verbal autopsies conducted for registered adult members of the Dodowa Health and Demographic Surveillance System who died between 2006 and 2010. The InterVA-4 model was used to assign the cause of death. Results Overall, the mortality rate for the period under review was 7.5/1,000 person-years (py) for the general population and 10.4/1,000 py for those aged 15 and older. The leading cause of death was communicable diseases (CDs), with a malaria-specific mortality rate of 1.06/1,000 py. Pulmonary tuberculosis (TB)-specific mortality rate was the next highest (1.01/1,000 py). HIV/AIDS attributed deaths were lower among males than females. Non-communicable diseases (NCDs) contributed to 28.3% of the deaths with cause-specific mortality rate of 2.93/1,000 py. Stroke topped the list with cause-specific mortality rate of 0.69/1,000 py. As expected, young males (15-49 years) contributed to more road traffic accident (RTA) deaths; they had a lower RTA cause-specific mortality rate than older males (50-64 years). Conclusions Data indicate that CDs (e.g. malaria and TB) remain the major cause of death with NCDs (e.g. stroke) following closely behind. Verbal autopsy data can provide the causes of mortality in poorly resourced settings where access to timely and accurate data is scarce.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">28672652</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>Estimating cause of adult (15+ years) death using InterVA-4 in a rural district of southern Ghana.</ArticleTitle><Pagination><MedlinePgn>25543</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3402/gha.v7.25543</ELocationID><Abstract><AbstractText>Background Data needed to estimate causes of death and the pattern of these deaths are scarce in sub-Saharan Africa. Such data are very important for targeting, monitoring, and evaluating health interventions. Objective To estimate the mortality rate and determine causes of death among adults (aged 15 years and older) in a rural district of southern Ghana, using the InterVA-4 model. Design Data used were generated from verbal autopsies conducted for registered adult members of the Dodowa Health and Demographic Surveillance System who died between 2006 and 2010. The InterVA-4 model was used to assign the cause of death. Results Overall, the mortality rate for the period under review was 7.5/1,000 person-years (py) for the general population and 10.4/1,000 py for those aged 15 and older. The leading cause of death was communicable diseases (CDs), with a malaria-specific mortality rate of 1.06/1,000 py. Pulmonary tuberculosis (TB)-specific mortality rate was the next highest (1.01/1,000 py). HIV/AIDS attributed deaths were lower among males than females. Non-communicable diseases (NCDs) contributed to 28.3% of the deaths with cause-specific mortality rate of 2.93/1,000 py. Stroke topped the list with cause-specific mortality rate of 0.69/1,000 py. As expected, young males (15-49 years) contributed to more road traffic accident (RTA) deaths; they had a lower RTA cause-specific mortality rate than older males (50-64 years). Conclusions Data indicate that CDs (e.g. malaria and TB) remain the major cause of death with NCDs (e.g. stroke) following closely behind. Verbal autopsy data can provide the causes of mortality in poorly resourced settings where access to timely and accurate data is scarce.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Awini</LastName><ForeName>Elizabeth</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>b School of Public Health University of Ghana , Accra , Ghana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>c INDEPTH Network Accra , Ghana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sarpong</LastName><ForeName>Doris</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>b School of Public Health University of Ghana , Accra , Ghana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Adjei</LastName><ForeName>Alexander</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>b School of Public Health University of Ghana , Accra , Ghana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Manyeh</LastName><ForeName>Alfred Kwesi</ForeName><Initials>AK</Initials><AffiliationInfo><Affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>b School of Public Health University of Ghana , Accra , Ghana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Amu</LastName><ForeName>Alberta</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>b School of Public Health University of Ghana , Accra , Ghana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Akweongo</LastName><ForeName>Patricia</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>c INDEPTH Network Accra , Ghana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Adongo</LastName><ForeName>Philip</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>c INDEPTH Network Accra , Ghana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kukula</LastName><ForeName>Vida</ForeName><Initials>V</Initials><AffiliationInfo><Affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>b School of Public Health University of Ghana , Accra , Ghana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>c INDEPTH Network Accra , Ghana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Odonkor</LastName><ForeName>Gabriel</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>b School of Public Health University of Ghana , Accra , Ghana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Narh</LastName><ForeName>Solomon</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>b School of Public Health University of Ghana , Accra , Ghana.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gyapong</LastName><ForeName>Margaret</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>a Dodowa Health Research Centre , Dodowa , Ghana.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>b School of Public Health University of Ghana , Accra , Ghana.</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">Dodowa</Keyword><Keyword MajorTopicYN="N">Ghana</Keyword><Keyword MajorTopicYN="N">Health and Demographic Surveillance System</Keyword><Keyword MajorTopicYN="N">InterVA-4</Keyword><Keyword MajorTopicYN="N">adults</Keyword><Keyword MajorTopicYN="N">cause of death</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">28672652</ArticleId><ArticleId IdType="doi">10.3402/gha.v7.25543</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Ghana</li></country></list><tree><country name="Ghana"><noRegion><name sortKey="Awini, Elizabeth" sort="Awini, Elizabeth" uniqKey="Awini E" first="Elizabeth" last="Awini">Elizabeth Awini</name></noRegion><name sortKey="Adjei, Alexander" sort="Adjei, Alexander" uniqKey="Adjei A" first="Alexander" last="Adjei">Alexander Adjei</name><name sortKey="Adongo, Philip" sort="Adongo, Philip" uniqKey="Adongo P" first="Philip" last="Adongo">Philip Adongo</name><name sortKey="Akweongo, Patricia" sort="Akweongo, Patricia" uniqKey="Akweongo P" first="Patricia" last="Akweongo">Patricia Akweongo</name><name sortKey="Amu, Alberta" sort="Amu, Alberta" uniqKey="Amu A" first="Alberta" last="Amu">Alberta Amu</name><name sortKey="Gyapong, Margaret" sort="Gyapong, Margaret" uniqKey="Gyapong M" first="Margaret" last="Gyapong">Margaret Gyapong</name><name sortKey="Kukula, Vida" sort="Kukula, Vida" uniqKey="Kukula V" first="Vida" last="Kukula">Vida Kukula</name><name sortKey="Manyeh, Alfred Kwesi" sort="Manyeh, Alfred Kwesi" uniqKey="Manyeh A" first="Alfred Kwesi" last="Manyeh">Alfred Kwesi Manyeh</name><name sortKey="Narh, Solomon" sort="Narh, Solomon" uniqKey="Narh S" first="Solomon" last="Narh">Solomon Narh</name><name sortKey="Odonkor, Gabriel" sort="Odonkor, Gabriel" uniqKey="Odonkor G" first="Gabriel" last="Odonkor">Gabriel Odonkor</name><name sortKey="Sarpong, Doris" sort="Sarpong, Doris" uniqKey="Sarpong D" first="Doris" last="Sarpong">Doris Sarpong</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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