Evidence map›Paper›PMID 31092155›Full record

ArticleGlobal health action2019

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.

Matthew M Coates, Mamusu Kamanda, Alexander Kintu, Iwara Arikpo, Alberto Chauque, Melkamu Merid Mengesha, Alison J Price, Peter Sifuna, Marylene Wamukoya, Charfudin N Sacoor and 12 more

Abstract readComparative Study
In one paragraph

Article in Global health action, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Matthew M Coatesa Department of Global Health and Social Medicine, Program in Global Noncommunicable Diseases and Social Change , Harvard Medical School , Boston , USA.ORCID 0000-0002-8474-4992
Mamusu Kamandab INDEPTH Network , Accra , Ghana.
Alexander Kintuc Department of Global Health and Population , Harvard T.H. Chan School of Public Health , Boston , USA.
Iwara Arikpob INDEPTH Network , Accra , Ghana.ORCID 0000-0001-8487-6461
Alberto Chauqueb INDEPTH Network , Accra , Ghana.
Melkamu Merid Mengeshab INDEPTH Network , Accra , Ghana.ORCID 0000-0003-4312-0136
Alison J Priceb INDEPTH Network , Accra , Ghana.ORCID 0000-0002-3891-3337
Peter Sifunab INDEPTH Network , Accra , Ghana.
Marylene Wamukoyab INDEPTH Network , Accra , Ghana.ORCID 0000-0002-2900-9178
Charfudin N Sacoorb INDEPTH Network , Accra , Ghana.
Sheila Ogwangb INDEPTH Network , Accra , Ghana.
Nega Assefab INDEPTH Network , Accra , Ghana.ORCID 0000-0003-0341-2329
Amelia C Crampinb INDEPTH Network , Accra , Ghana.ORCID 0000-0002-1513-4330
Eusebio V Maceteb INDEPTH Network , Accra , Ghana.
Catherine Kyobutungib INDEPTH Network , Accra , Ghana.ORCID 0000-0002-5344-5631
Martin M Meremikwub INDEPTH Network , Accra , Ghana.
Walter Otienob INDEPTH Network , Accra , Ghana.
Kafui Adjaye-Gbewonyol University College London , London , UK.
Andrew Marxa Department of Global Health and Social Medicine, Program in Global Noncommunicable Diseases and Social Change , Harvard Medical School , Boston , USA.
Peter Byassb INDEPTH Network , Accra , Ghana.ORCID 0000-0001-5474-4361
Osman Sankohb INDEPTH Network , Accra , Ghana.ORCID 0000-0003-4405-9808
Gene Bukhmana Department of Global Health and Social Medicine, Program in Global Noncommunicable Diseases and Social Change , Harvard Medical School , Boston , USA.ORCID 0000-0003-4500-7903

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundUnderstanding socioeconomic disparities in all-cause and cause-specific mortality can help inform prevention and treatment strategies.

objectivesTo 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.

methodsWe 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.

resultsOur 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.

conclusionsWe 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.

Indexed as

Cause of DeathLife ExpectancySocial ClassSocioeconomic FactorsAdolescentAdultDemographyEthiopiaFemaleGlobal HealthHumansKenyaMalawiMaleMiddle AgedMozambiqueCause of deathlife expectancynon-communicable diseaseverbal autopsy

Identifiers

PMID31092155
PMCPMC6534200

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.