Mortality measurement in transition: proof of principle for standardised multi-country comparisons*
Identifieur interne : 004711 ( Main/Exploration ); précédent : 004710; suivant : 004712Mortality measurement in transition: proof of principle for standardised multi-country comparisons*
Auteurs : Edward Fottrell [Suède] ; Kathleen Kahn [Suède, Afrique du Sud] ; Nawi Ng [Suède, Indonésie] ; Benn Sartorius [Afrique du Sud] ; Dao Lan Huong [Viêt Nam] ; Hoang Van Minh [Viêt Nam] ; Mesganaw Fantahun [Éthiopie] ; Peter Byass [Suède]Source :
- Tropical Medicine & International Health [ 1360-2276 ] ; 2010.
Abstract
To demonstrate the viability and value of comparing cause-specific mortality across four socioeconomically and culturally diverse settings using a completely standardised approach to VA interpretation.
Deaths occurring between 1999 and 2004 in Butajira (Ethiopia), Agincourt (South Africa), FilaBavi (Vietnam) and Purworejo (Indonesia) health and socio-demographic surveillance sites were identified. VA interviews were successfully conducted with the caregivers of the deceased to elicit information on signs and symptoms preceding death. The information gathered was interpreted using the InterVA method to derive population cause-specific mortality fractions for each of the four settings.
The mortality profiles derived from 4784 deaths using InterVA illustrate the potential of the method to characterise sub-national profiles well. The derived mortality patterns illustrate four populations with plausible, markedly different disease profiles, apparently at different stages of health transition.
Given the standardised method of VA interpretation, the observed differences in mortality cannot be because of local differences in assigning cause of death. Standardised, fit-for-purpose methods are needed to measure population health and changes in mortality patterns so that appropriate health policy and programmes can be designed, implemented and evaluated over time and place. The InterVA approach overcomes several longstanding limitations of existing methods and represents a valuable tool for health planners and researchers in resource-poor settings.
Url:
DOI: 10.1111/j.1365-3156.2010.02601.x
PubMed: 20701726
PubMed Central: 3085122
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en"><sec><title>Objective</title>
<p>To demonstrate the viability and value of comparing cause-specific mortality across four socioeconomically and culturally diverse settings using a completely standardised approach to VA interpretation.</p>
</sec>
<sec><title>Methods</title>
<p>Deaths occurring between 1999 and 2004 in Butajira (Ethiopia), Agincourt (South Africa), FilaBavi (Vietnam) and Purworejo (Indonesia) health and socio-demographic surveillance sites were identified. VA interviews were successfully conducted with the caregivers of the deceased to elicit information on signs and symptoms preceding death. The information gathered was interpreted using the InterVA method to derive population cause-specific mortality fractions for each of the four settings.</p>
</sec>
<sec><title>Results</title>
<p>The mortality profiles derived from 4784 deaths using InterVA illustrate the potential of the method to characterise sub-national profiles well. The derived mortality patterns illustrate four populations with plausible, markedly different disease profiles, apparently at different stages of health transition.</p>
</sec>
<sec><title>Conclusions</title>
<p>Given the standardised method of VA interpretation, the observed differences in mortality cannot be because of local differences in assigning cause of death. Standardised, fit-for-purpose methods are needed to measure population health and changes in mortality patterns so that appropriate health policy and programmes can be designed, implemented and evaluated over time and place. The InterVA approach overcomes several longstanding limitations of existing methods and represents a valuable tool for health planners and researchers in resource-poor settings.</p>
</sec>
</div>
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</analytic>
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</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Pacque Margolis, S" uniqKey="Pacque Margolis S">S Pacque-Margolis</name>
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</analytic>
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<author><name sortKey="Whiting, Dr" uniqKey="Whiting D">DR Whiting</name>
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<author><name sortKey="Hemed, Y" uniqKey="Hemed Y">Y Hemed</name>
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<author><name sortKey="Rao, C" uniqKey="Rao C">C Rao</name>
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<author><name sortKey="Hemed, Y" uniqKey="Hemed Y">Y Hemed</name>
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</div1>
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</TEI>
<affiliations><list><country><li>Afrique du Sud</li>
<li>Indonésie</li>
<li>Suède</li>
<li>Viêt Nam</li>
<li>Éthiopie</li>
</country>
</list>
<tree><country name="Suède"><noRegion><name sortKey="Fottrell, Edward" sort="Fottrell, Edward" uniqKey="Fottrell E" first="Edward" last="Fottrell">Edward Fottrell</name>
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<name sortKey="Byass, Peter" sort="Byass, Peter" uniqKey="Byass P" first="Peter" last="Byass">Peter Byass</name>
<name sortKey="Kahn, Kathleen" sort="Kahn, Kathleen" uniqKey="Kahn K" first="Kathleen" last="Kahn">Kathleen Kahn</name>
<name sortKey="Ng, Nawi" sort="Ng, Nawi" uniqKey="Ng N" first="Nawi" last="Ng">Nawi Ng</name>
</country>
<country name="Afrique du Sud"><noRegion><name sortKey="Kahn, Kathleen" sort="Kahn, Kathleen" uniqKey="Kahn K" first="Kathleen" last="Kahn">Kathleen Kahn</name>
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<name sortKey="Sartorius, Benn" sort="Sartorius, Benn" uniqKey="Sartorius B" first="Benn" last="Sartorius">Benn Sartorius</name>
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<country name="Indonésie"><noRegion><name sortKey="Ng, Nawi" sort="Ng, Nawi" uniqKey="Ng N" first="Nawi" last="Ng">Nawi Ng</name>
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<country name="Viêt Nam"><noRegion><name sortKey="Huong, Dao Lan" sort="Huong, Dao Lan" uniqKey="Huong D" first="Dao Lan" last="Huong">Dao Lan Huong</name>
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<name sortKey="Van Minh, Hoang" sort="Van Minh, Hoang" uniqKey="Van Minh H" first="Hoang" last="Van Minh">Hoang Van Minh</name>
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<country name="Éthiopie"><noRegion><name sortKey="Fantahun, Mesganaw" sort="Fantahun, Mesganaw" uniqKey="Fantahun M" first="Mesganaw" last="Fantahun">Mesganaw Fantahun</name>
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</record>
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