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A comparison of all-cause and cause-specific mortality by household socioeconomic status across seven INDEPTH network health and demographic surveillance systems in sub-Saharan Africa

Background: Understanding socioeconomic disparities in all-cause and cause-specific mortality can help inform prevention and treatment strategies. Objectives: To quantify cause-specific mortality rates by socioeconomic status across seven health and demographic surveillance systems (HDSS) in five co...

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Autores principales: Coates, Matthew M., Kamanda, Mamusu, Kintu, Alexander, Arikpo, Iwara, Chauque, Alberto, Mengesha, Melkamu Merid, Price, Alison J., Sifuna, Peter, Wamukoya, Marylene, Sacoor, Charfudin N., Ogwang, Sheila, Assefa, Nega, Crampin, Amelia C., Macete, Eusebio V., Kyobutungi, Catherine, Meremikwu, Martin M., Otieno, Walter, Adjaye-Gbewonyo, Kafui, Marx, Andrew, Byass, Peter, Sankoh, Osman, Bukhman, Gene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6534200/
https://www.ncbi.nlm.nih.gov/pubmed/31092155
http://dx.doi.org/10.1080/16549716.2019.1608013
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author Coates, Matthew M.
Kamanda, Mamusu
Kintu, Alexander
Arikpo, Iwara
Chauque, Alberto
Mengesha, Melkamu Merid
Price, Alison J.
Sifuna, Peter
Wamukoya, Marylene
Sacoor, Charfudin N.
Ogwang, Sheila
Assefa, Nega
Crampin, Amelia C.
Macete, Eusebio V.
Kyobutungi, Catherine
Meremikwu, Martin M.
Otieno, Walter
Adjaye-Gbewonyo, Kafui
Marx, Andrew
Byass, Peter
Sankoh, Osman
Bukhman, Gene
author_facet Coates, Matthew M.
Kamanda, Mamusu
Kintu, Alexander
Arikpo, Iwara
Chauque, Alberto
Mengesha, Melkamu Merid
Price, Alison J.
Sifuna, Peter
Wamukoya, Marylene
Sacoor, Charfudin N.
Ogwang, Sheila
Assefa, Nega
Crampin, Amelia C.
Macete, Eusebio V.
Kyobutungi, Catherine
Meremikwu, Martin M.
Otieno, Walter
Adjaye-Gbewonyo, Kafui
Marx, Andrew
Byass, Peter
Sankoh, Osman
Bukhman, Gene
author_sort Coates, Matthew M.
collection PubMed
description Background: Understanding socioeconomic disparities in all-cause and cause-specific mortality can help inform prevention and treatment strategies. Objectives: To quantify cause-specific mortality rates by socioeconomic status across seven health and demographic surveillance systems (HDSS) in five countries (Ethiopia, Kenya, Malawi, Mozambique, and Nigeria) in the INDEPTH Network in sub-Saharan Africa. Methods: We linked demographic residence data with household survey data containing living standards and education information we used to create a poverty index. Person-years lived and deaths between 2003 and 2016 (periods varied by HDSS) were stratified in each HDSS by age, sex, year, and number of deprivations on the poverty index (0–8). Causes of death were assigned to each death using the InterVA-4 model based on responses to verbal autopsy questionnaires. We estimated rate ratios between socioeconomic groups (2–4 and 5–8 deprivations on our poverty index compared to 0–2 deprivations) for specific causes of death and calculated life expectancy for the deprivation groups. Results: Our pooled data contained almost 3.5 million person-years of observation and 25,038 deaths. All-cause mortality rates were higher among people in households with 5–8 deprivations on our poverty index compared to 0–2 deprivations, controlling for age, sex, and year (rate ratios ranged 1.42 to 2.06 across HDSS sites). The poorest group had consistently higher death rates in communicable, maternal, neonatal, and nutritional conditions (rate ratios ranged 1.34–4.05) and for non-communicable diseases in several sites (1.14–1.93). The disparities in mortality between 5–8 deprivation groups and 0–2 deprivation groups led to lower life expectancy in the higher-deprivation groups by six years in all sites and more than 10 years in five sites. Conclusions: We show large disparities in mortality on the basis of socioeconomic status across seven HDSS in sub-Saharan Africa due to disparities in communicable disease mortality and from non-communicable diseases in some sites. Life expectancy gaps between socioeconomic groups within sites were similar to the gaps between high-income and lower-middle-income countries. Prevention and treatment efforts can benefit from understanding subpopulations facing higher mortality from specific conditions.
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spelling pubmed-65342002019-05-31 A comparison of all-cause and cause-specific mortality by household socioeconomic status across seven INDEPTH network health and demographic surveillance systems in sub-Saharan Africa Coates, Matthew M. Kamanda, Mamusu Kintu, Alexander Arikpo, Iwara Chauque, Alberto Mengesha, Melkamu Merid Price, Alison J. Sifuna, Peter Wamukoya, Marylene Sacoor, Charfudin N. Ogwang, Sheila Assefa, Nega Crampin, Amelia C. Macete, Eusebio V. Kyobutungi, Catherine Meremikwu, Martin M. Otieno, Walter Adjaye-Gbewonyo, Kafui Marx, Andrew Byass, Peter Sankoh, Osman Bukhman, Gene Glob Health Action Original Article Background: Understanding socioeconomic disparities in all-cause and cause-specific mortality can help inform prevention and treatment strategies. Objectives: To quantify cause-specific mortality rates by socioeconomic status across seven health and demographic surveillance systems (HDSS) in five countries (Ethiopia, Kenya, Malawi, Mozambique, and Nigeria) in the INDEPTH Network in sub-Saharan Africa. Methods: We linked demographic residence data with household survey data containing living standards and education information we used to create a poverty index. Person-years lived and deaths between 2003 and 2016 (periods varied by HDSS) were stratified in each HDSS by age, sex, year, and number of deprivations on the poverty index (0–8). Causes of death were assigned to each death using the InterVA-4 model based on responses to verbal autopsy questionnaires. We estimated rate ratios between socioeconomic groups (2–4 and 5–8 deprivations on our poverty index compared to 0–2 deprivations) for specific causes of death and calculated life expectancy for the deprivation groups. Results: Our pooled data contained almost 3.5 million person-years of observation and 25,038 deaths. All-cause mortality rates were higher among people in households with 5–8 deprivations on our poverty index compared to 0–2 deprivations, controlling for age, sex, and year (rate ratios ranged 1.42 to 2.06 across HDSS sites). The poorest group had consistently higher death rates in communicable, maternal, neonatal, and nutritional conditions (rate ratios ranged 1.34–4.05) and for non-communicable diseases in several sites (1.14–1.93). The disparities in mortality between 5–8 deprivation groups and 0–2 deprivation groups led to lower life expectancy in the higher-deprivation groups by six years in all sites and more than 10 years in five sites. Conclusions: We show large disparities in mortality on the basis of socioeconomic status across seven HDSS in sub-Saharan Africa due to disparities in communicable disease mortality and from non-communicable diseases in some sites. Life expectancy gaps between socioeconomic groups within sites were similar to the gaps between high-income and lower-middle-income countries. Prevention and treatment efforts can benefit from understanding subpopulations facing higher mortality from specific conditions. Taylor & Francis 2019-05-16 /pmc/articles/PMC6534200/ /pubmed/31092155 http://dx.doi.org/10.1080/16549716.2019.1608013 Text en © 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Coates, Matthew M.
Kamanda, Mamusu
Kintu, Alexander
Arikpo, Iwara
Chauque, Alberto
Mengesha, Melkamu Merid
Price, Alison J.
Sifuna, Peter
Wamukoya, Marylene
Sacoor, Charfudin N.
Ogwang, Sheila
Assefa, Nega
Crampin, Amelia C.
Macete, Eusebio V.
Kyobutungi, Catherine
Meremikwu, Martin M.
Otieno, Walter
Adjaye-Gbewonyo, Kafui
Marx, Andrew
Byass, Peter
Sankoh, Osman
Bukhman, Gene
A comparison of all-cause and cause-specific mortality by household socioeconomic status across seven INDEPTH network health and demographic surveillance systems in sub-Saharan Africa
title A comparison of all-cause and cause-specific mortality by household socioeconomic status across seven INDEPTH network health and demographic surveillance systems in sub-Saharan Africa
title_full A comparison of all-cause and cause-specific mortality by household socioeconomic status across seven INDEPTH network health and demographic surveillance systems in sub-Saharan Africa
title_fullStr A comparison of all-cause and cause-specific mortality by household socioeconomic status across seven INDEPTH network health and demographic surveillance systems in sub-Saharan Africa
title_full_unstemmed A comparison of all-cause and cause-specific mortality by household socioeconomic status across seven INDEPTH network health and demographic surveillance systems in sub-Saharan Africa
title_short A comparison of all-cause and cause-specific mortality by household socioeconomic status across seven INDEPTH network health and demographic surveillance systems in sub-Saharan Africa
title_sort comparison of all-cause and cause-specific mortality by household socioeconomic status across seven indepth network health and demographic surveillance systems in sub-saharan africa
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6534200/
https://www.ncbi.nlm.nih.gov/pubmed/31092155
http://dx.doi.org/10.1080/16549716.2019.1608013
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