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Mortality measurement in transition: proof of principle for standardised multi-country comparisons*
OBJECTIVE: 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. METHODS: Deaths occurring between 1999 and 2004 in Butajira (Ethiopia), Agincourt (Sout...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3085122/ https://www.ncbi.nlm.nih.gov/pubmed/20701726 http://dx.doi.org/10.1111/j.1365-3156.2010.02601.x |
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author | Fottrell, Edward Kahn, Kathleen Ng, Nawi Sartorius, Benn Huong, Dao Lan Van Minh, Hoang Fantahun, Mesganaw Byass, Peter |
author_facet | Fottrell, Edward Kahn, Kathleen Ng, Nawi Sartorius, Benn Huong, Dao Lan Van Minh, Hoang Fantahun, Mesganaw Byass, Peter |
author_sort | Fottrell, Edward |
collection | PubMed |
description | OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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. |
format | Text |
id | pubmed-3085122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Blackwell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-30851222011-05-13 Mortality measurement in transition: proof of principle for standardised multi-country comparisons* Fottrell, Edward Kahn, Kathleen Ng, Nawi Sartorius, Benn Huong, Dao Lan Van Minh, Hoang Fantahun, Mesganaw Byass, Peter Trop Med Int Health Mortality Measurement OBJECTIVE: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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. Blackwell Publishing Ltd 2010-10 /pmc/articles/PMC3085122/ /pubmed/20701726 http://dx.doi.org/10.1111/j.1365-3156.2010.02601.x Text en © 2010 Blackwell Publishing Ltd http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation. |
spellingShingle | Mortality Measurement Fottrell, Edward Kahn, Kathleen Ng, Nawi Sartorius, Benn Huong, Dao Lan Van Minh, Hoang Fantahun, Mesganaw Byass, Peter Mortality measurement in transition: proof of principle for standardised multi-country comparisons* |
title | Mortality measurement in transition: proof of principle for standardised multi-country comparisons* |
title_full | Mortality measurement in transition: proof of principle for standardised multi-country comparisons* |
title_fullStr | Mortality measurement in transition: proof of principle for standardised multi-country comparisons* |
title_full_unstemmed | Mortality measurement in transition: proof of principle for standardised multi-country comparisons* |
title_short | Mortality measurement in transition: proof of principle for standardised multi-country comparisons* |
title_sort | mortality measurement in transition: proof of principle for standardised multi-country comparisons* |
topic | Mortality Measurement |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3085122/ https://www.ncbi.nlm.nih.gov/pubmed/20701726 http://dx.doi.org/10.1111/j.1365-3156.2010.02601.x |
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