InterVA-4 as a public health tool for measuring HIV/AIDS mortality: a validation study from five African countries.
Identifieur interne : 000281 ( PubMed/Corpus ); précédent : 000280; suivant : 000282InterVA-4 as a public health tool for measuring HIV/AIDS mortality: a validation study from five African countries.
Auteurs : Peter Byass ; Clara Calvert ; Jessica Miiro-Nakiyingi ; Tom Lutalo ; Denna Michael ; Amelia Crampin ; Simon Gregson ; Albert Takaruza ; Laura Robertson ; Kobus Herbst ; Jim Todd ; Basia ZabaSource :
- Global health action [ 1654-9880 ] ; 2013.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : Africa South of the Sahara.
- methods : Autopsy, Public Health.
- mortality : HIV Infections.
- statistics & numerical data : Public Health.
- Adolescent, Adult, Aged, Cause of Death, Female, Humans, Male, Middle Aged, Young Adult.
Abstract
Reliable population-based data on HIV infection and AIDS mortality in sub-Saharan Africa are scanty, even though that is the region where most of the world's AIDS deaths occur. There is therefore a great need for reliable and valid public health tools for assessing AIDS mortality.
PubMed: 24138838
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School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; INDEPTH Network, Accra, Ghana; peter.byass@epiph.umu.se.</nlm:affiliation></affiliation></author><author><name sortKey="Calvert, Clara" sort="Calvert, Clara" uniqKey="Calvert C" first="Clara" last="Calvert">Clara Calvert</name></author><author><name sortKey="Miiro Nakiyingi, Jessica" sort="Miiro Nakiyingi, Jessica" uniqKey="Miiro Nakiyingi J" first="Jessica" last="Miiro-Nakiyingi">Jessica Miiro-Nakiyingi</name></author><author><name sortKey="Lutalo, Tom" sort="Lutalo, Tom" uniqKey="Lutalo T" first="Tom" last="Lutalo">Tom Lutalo</name></author><author><name sortKey="Michael, Denna" sort="Michael, Denna" uniqKey="Michael D" first="Denna" last="Michael">Denna Michael</name></author><author><name sortKey="Crampin, Amelia" sort="Crampin, Amelia" uniqKey="Crampin A" first="Amelia" last="Crampin">Amelia Crampin</name></author><author><name sortKey="Gregson, Simon" sort="Gregson, Simon" uniqKey="Gregson S" first="Simon" last="Gregson">Simon Gregson</name></author><author><name sortKey="Takaruza, Albert" sort="Takaruza, Albert" uniqKey="Takaruza A" first="Albert" last="Takaruza">Albert Takaruza</name></author><author><name sortKey="Robertson, Laura" sort="Robertson, Laura" uniqKey="Robertson L" first="Laura" last="Robertson">Laura Robertson</name></author><author><name sortKey="Herbst, Kobus" sort="Herbst, Kobus" uniqKey="Herbst K" first="Kobus" last="Herbst">Kobus Herbst</name></author><author><name sortKey="Todd, Jim" sort="Todd, Jim" uniqKey="Todd J" first="Jim" last="Todd">Jim Todd</name></author><author><name sortKey="Zaba, Basia" sort="Zaba, Basia" uniqKey="Zaba B" first="Basia" last="Zaba">Basia Zaba</name></author></analytic><series><title level="j">Global health action</title><idno type="eISSN">1654-9880</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Africa South of the Sahara (epidemiology)</term><term>Aged</term><term>Autopsy (methods)</term><term>Cause of Death</term><term>Female</term><term>HIV Infections (mortality)</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Public Health (methods)</term><term>Public Health (statistics & numerical data)</term><term>Young Adult</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Africa South of the Sahara</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Autopsy</term><term>Public Health</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>HIV Infections</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Public Health</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Cause of Death</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Young Adult</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Reliable population-based data on HIV infection and AIDS mortality in sub-Saharan Africa are scanty, even though that is the region where most of the world's AIDS deaths occur. There is therefore a great need for reliable and valid public health tools for assessing AIDS mortality.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24138838</PMID><DateCreated><Year>2013</Year><Month>10</Month><Day>21</Day></DateCreated><DateCompleted><Year>2014</Year><Month>01</Month><Day>31</Day></DateCompleted><DateRevised><Year>2017</Year><Month>02</Month><Day>20</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1654-9880</ISSN><JournalIssue CitedMedium="Internet"><Volume>6</Volume><PubDate><Year>2013</Year><Month>Oct</Month><Day>18</Day></PubDate></JournalIssue><Title>Global health action</Title><ISOAbbreviation>Glob Health Action</ISOAbbreviation></Journal><ArticleTitle>InterVA-4 as a public health tool for measuring HIV/AIDS mortality: a validation study from five African countries.</ArticleTitle><Pagination><MedlinePgn>22448</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3402/gha.v6i0.22448</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Reliable population-based data on HIV infection and AIDS mortality in sub-Saharan Africa are scanty, even though that is the region where most of the world's AIDS deaths occur. There is therefore a great need for reliable and valid public health tools for assessing AIDS mortality.</AbstractText><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">The aim of this article is to validate the InterVA-4 verbal autopsy (VA) interpretative model within African populations where HIV sero-status is recorded on a prospective basis, and examine the distribution of cause-specific mortality among HIV-positive and HIV-negative people.</AbstractText><AbstractText Label="DESIGN" NlmCategory="METHODS">Data from six sites of the Alpha Network, including HIV sero-status and VA interviews, were pooled. VA data according to the 2012 WHO format were extracted, and processed using the InterVA-4 model into likely causes of death. The model was blinded to the sero-status data. Cases with known pre-mortem HIV infection status were used to determine the specificity with which InterVA-4 could attribute HIV/AIDS as a cause of death. Cause-specific mortality fractions by HIV infection status were calculated, and a person-time model was built to analyse adjusted cause-specific mortality rate ratios.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">The InterVA-4 model identified HIV/AIDS-related deaths with a specificity of 90.1% (95% CI 88.7-91.4%). Overall sensitivity could not be calculated, because HIV-positive people die from a range of causes. In a person-time model including 1,739 deaths in 1,161,688 HIV-negative person-years observed and 2,890 deaths in 75,110 HIV-positive person-years observed, the mortality ratio HIV-positive:negative was 29.0 (95% CI 27.1-31.0), after adjustment for age, sex, and study site. Cause-specific HIV-positive:negative mortality ratios for acute respiratory infections, HIV/AIDS-related deaths, meningitis, tuberculosis, and malnutrition were higher than the all-cause ratio; all causes had HIV-positive:negative mortality ratios significantly higher than unity.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">These results were generally consistent with relatively small post-mortem and hospital-based diagnosis studies in the literature. The high specificity in cause of death attribution achieved in relation to HIV status, and large differences between specific causes by HIV status, show that InterVA-4 is an effective and valid tool for assessing HIV-related mortality.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Byass</LastName><ForeName>Peter</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>WHO Collaborating Centre for Verbal Autopsy, Umeå Centre for Global Health Research, Umeå University, Umeå, Sweden; School of Public Health, University of the Witwatersrand, Johannesburg, South Africa; INDEPTH Network, Accra, Ghana; peter.byass@epiph.umu.se.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Calvert</LastName><ForeName>Clara</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Miiro-Nakiyingi</LastName><ForeName>Jessica</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Lutalo</LastName><ForeName>Tom</ForeName><Initials>T</Initials></Author><Author ValidYN="Y"><LastName>Michael</LastName><ForeName>Denna</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Crampin</LastName><ForeName>Amelia</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Gregson</LastName><ForeName>Simon</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Takaruza</LastName><ForeName>Albert</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Robertson</LastName><ForeName>Laura</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Herbst</LastName><ForeName>Kobus</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Todd</LastName><ForeName>Jim</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Zaba</LastName><ForeName>Basia</ForeName><Initials>B</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>084401/Z/07/Z</GrantID><Agency>Wellcome Trust</Agency><Country>United Kingdom</Country></Grant><Grant><GrantID>R01HD050180</GrantID><Acronym>HD</Acronym><Agency>NICHD NIH HHS</Agency><Country>United States</Country></Grant><Grant><GrantID>075886/Z/04/Z</GrantID><Agency>Wellcome Trust</Agency><Country>United Kingdom</Country></Grant><Grant><Agency>Medical Research Council</Agency><Country>United Kingdom</Country></Grant><Grant><GrantID>079828/Z/06/Z</GrantID><Agency>Wellcome Trust</Agency><Country>United Kingdom</Country></Grant><Grant><Agency>PEPFAR</Agency><Country>United States</Country></Grant><Grant><GrantID>082384/Z/07/Z</GrantID><Agency>Wellcome Trust</Agency><Country>United Kingdom</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D023361">Validation Studies</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>10</Month><Day>18</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Glob Health Action</MedlineTA><NlmUniqueID>101496665</NlmUniqueID><ISSNLinking>1654-9880</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>J Epidemiol Community Health. 2010 Apr;64(4):330-4</RefSource><PMID Version="1">19854751</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>Br J Cancer. 2003 Oct 6;89(7):1221-7</RefSource><PMID Version="1">14520450</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>HIV Med. 2008 Aug;9(7):535-43</RefSource><PMID Version="1">18554309</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>BMJ. 1989 Mar 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MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001344" MajorTopicYN="N">Autopsy</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002423" MajorTopicYN="N">Cause of Death</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015658" MajorTopicYN="N">HIV Infections</DescriptorName><QualifierName UI="Q000401" MajorTopicYN="Y">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011634" MajorTopicYN="N">Public Health</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><OtherID Source="NLM">PMC3800746</OtherID><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Africa</Keyword><Keyword MajorTopicYN="N">Alpha Network</Keyword><Keyword MajorTopicYN="N">HIV/AIDS</Keyword><Keyword MajorTopicYN="N">InterVA</Keyword><Keyword MajorTopicYN="N">mortality</Keyword><Keyword MajorTopicYN="N">verbal autopsy</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year><Month>07</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2013</Year><Month>09</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2013</Year><Month>09</Month><Day>27</Day></PubMedPubDate><PubMedPubDate 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