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Applying the InterVA-4 model to determine causes of death in rural Ethiopia

BACKGROUND: In Ethiopia, most deaths take place at home and routine certification of cause of death by physicians is lacking. As a result, reliable cause of death (CoD) data are often not available. Recently, a computerized method for interpretation of verbal autopsy (VA) data, called InterVA, has b...

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Autores principales: Weldearegawi, Berhe, Melaku, Yohannes Adama, Spigt, Mark, Dinant, Geert Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Co-Action Publishing 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4220136/
https://www.ncbi.nlm.nih.gov/pubmed/25377338
http://dx.doi.org/10.3402/gha.v7.25550
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author Weldearegawi, Berhe
Melaku, Yohannes Adama
Spigt, Mark
Dinant, Geert Jan
author_facet Weldearegawi, Berhe
Melaku, Yohannes Adama
Spigt, Mark
Dinant, Geert Jan
author_sort Weldearegawi, Berhe
collection PubMed
description BACKGROUND: In Ethiopia, most deaths take place at home and routine certification of cause of death by physicians is lacking. As a result, reliable cause of death (CoD) data are often not available. Recently, a computerized method for interpretation of verbal autopsy (VA) data, called InterVA, has been developed and used. It calculates the probability of a set of CoD given the presence of circumstances, signs, and symptoms reported during VA interviews. We applied the InterVA model to describe CoD in a rural population of Ethiopia. OBJECTIVE: VA data for 436/599 (72.7%) deaths that occurred during 2010–2011 were included. InterVA-4 was used to interpret the VA data into probable cause of death. Cause-specific mortality fraction was used to describe frequency of occurrence of death from specific causes. RESULTS: InterVA-4 was able to give likely cause(s) of death for 401/436 of the cases (92.0%). Overall, 35.0% of the total deaths were attributed to communicable diseases, and 30.7% to chronic non-communicable diseases. Tuberculosis (12.5%) and acute respiratory tract infections (10.4%) were the most frequent causes followed by neoplasms (9.6%) and diseases of circulatory system (7.2%). CONCLUSION: InterVA-4 can produce plausible estimates of the major public health problems that can guide public health interventions. We encourage further validation studies, in local settings, so that InterVA can be integrated into national health surveys.
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spelling pubmed-42201362014-12-02 Applying the InterVA-4 model to determine causes of death in rural Ethiopia Weldearegawi, Berhe Melaku, Yohannes Adama Spigt, Mark Dinant, Geert Jan Glob Health Action Indepth Network Cause-Specific Mortality BACKGROUND: In Ethiopia, most deaths take place at home and routine certification of cause of death by physicians is lacking. As a result, reliable cause of death (CoD) data are often not available. Recently, a computerized method for interpretation of verbal autopsy (VA) data, called InterVA, has been developed and used. It calculates the probability of a set of CoD given the presence of circumstances, signs, and symptoms reported during VA interviews. We applied the InterVA model to describe CoD in a rural population of Ethiopia. OBJECTIVE: VA data for 436/599 (72.7%) deaths that occurred during 2010–2011 were included. InterVA-4 was used to interpret the VA data into probable cause of death. Cause-specific mortality fraction was used to describe frequency of occurrence of death from specific causes. RESULTS: InterVA-4 was able to give likely cause(s) of death for 401/436 of the cases (92.0%). Overall, 35.0% of the total deaths were attributed to communicable diseases, and 30.7% to chronic non-communicable diseases. Tuberculosis (12.5%) and acute respiratory tract infections (10.4%) were the most frequent causes followed by neoplasms (9.6%) and diseases of circulatory system (7.2%). CONCLUSION: InterVA-4 can produce plausible estimates of the major public health problems that can guide public health interventions. We encourage further validation studies, in local settings, so that InterVA can be integrated into national health surveys. Co-Action Publishing 2014-10-29 /pmc/articles/PMC4220136/ /pubmed/25377338 http://dx.doi.org/10.3402/gha.v7.25550 Text en © 2014 Berhe Weldearegawi et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Indepth Network Cause-Specific Mortality
Weldearegawi, Berhe
Melaku, Yohannes Adama
Spigt, Mark
Dinant, Geert Jan
Applying the InterVA-4 model to determine causes of death in rural Ethiopia
title Applying the InterVA-4 model to determine causes of death in rural Ethiopia
title_full Applying the InterVA-4 model to determine causes of death in rural Ethiopia
title_fullStr Applying the InterVA-4 model to determine causes of death in rural Ethiopia
title_full_unstemmed Applying the InterVA-4 model to determine causes of death in rural Ethiopia
title_short Applying the InterVA-4 model to determine causes of death in rural Ethiopia
title_sort applying the interva-4 model to determine causes of death in rural ethiopia
topic Indepth Network Cause-Specific Mortality
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4220136/
https://www.ncbi.nlm.nih.gov/pubmed/25377338
http://dx.doi.org/10.3402/gha.v7.25550
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