Temporal changes in cause of death among adolescents and adults in six countries in eastern and southern Africa in 1995-2019: a multi-country surveillance study of verbal autopsy data.


Journal

The Lancet. Global health
ISSN: 2214-109X
Titre abrégé: Lancet Glob Health
Pays: England
ID NLM: 101613665

Informations de publication

Date de publication:
Aug 2024
Historique:
received: 30 06 2023
revised: 01 02 2024
accepted: 04 04 2024
medline: 20 7 2024
pubmed: 20 7 2024
entrez: 19 7 2024
Statut: ppublish

Résumé

The absence of high-quality comprehensive civil registration and vital statistics systems across many settings in Africa has led to little empirical data on causes of death in the region. We aimed to use verbal autopsy data to provide comparative, population-based estimates of cause-specific mortality among adolescents and adults in eastern and southern Africa. In this surveillance study, we harmonised verbal autopsy and residency data from nine health and demographic surveillance system (HDSS) sites in Kenya, Malawi, Tanzania, South Africa, Uganda, and Zimbabwe, each with variable coverage from Jan 1, 1995, to Dec 31, 2019. We included all deaths to adolescents and adults aged 12 or over that were residents of the study sites and had a verbal autopsy conducted. InSilicoVA, a probabilistic model, was used to assign cause of death on the basis of the signs and symptoms reported in the verbal autopsy. Levels and trends in all-cause and cause-specific mortality rates and cause-specific mortality fractions were calculated, stratified by HDSS site, sex, age, and calendar periods. 52 484 deaths and 5 157 802 person-years were reported among 1 071 913 individuals across the nine sites during the study period. 47 961 (91·4%) deaths had a verbal autopsy, of which 46 570 (97·1%) were assigned a cause of death. All-cause mortality generally decreased across the HDSS sites during this period, particularly for adults aged 20-59 years. In many of the HDSS sites, these decreases were driven by reductions in HIV and tuberculosis-related deaths. In 2010-14, the top causes of death were: road traffic accidents, HIV or tuberculosis, and meningitis or sepsis in adolescents (12-19 years); HIV or tuberculosis in adults aged 20-59 years; and neoplasms and cardiovascular disease in adults aged 60 years and older. There was greater between-HDSS and between-sex variation in causes of death for adolescents compared with adults. This study shows progress in reducing mortality across eastern and southern Africa but also highlights age, sex, within-HDSS, and between-HDSS differences in causes of adolescent and adult deaths. These findings highlight the importance of detailed local data to inform health needs to ensure continued improvements in survival. National Institute of Child Health and Human Development of the US National Institutes of Health.

Sections du résumé

BACKGROUND BACKGROUND
The absence of high-quality comprehensive civil registration and vital statistics systems across many settings in Africa has led to little empirical data on causes of death in the region. We aimed to use verbal autopsy data to provide comparative, population-based estimates of cause-specific mortality among adolescents and adults in eastern and southern Africa.
METHODS METHODS
In this surveillance study, we harmonised verbal autopsy and residency data from nine health and demographic surveillance system (HDSS) sites in Kenya, Malawi, Tanzania, South Africa, Uganda, and Zimbabwe, each with variable coverage from Jan 1, 1995, to Dec 31, 2019. We included all deaths to adolescents and adults aged 12 or over that were residents of the study sites and had a verbal autopsy conducted. InSilicoVA, a probabilistic model, was used to assign cause of death on the basis of the signs and symptoms reported in the verbal autopsy. Levels and trends in all-cause and cause-specific mortality rates and cause-specific mortality fractions were calculated, stratified by HDSS site, sex, age, and calendar periods.
FINDINGS RESULTS
52 484 deaths and 5 157 802 person-years were reported among 1 071 913 individuals across the nine sites during the study period. 47 961 (91·4%) deaths had a verbal autopsy, of which 46 570 (97·1%) were assigned a cause of death. All-cause mortality generally decreased across the HDSS sites during this period, particularly for adults aged 20-59 years. In many of the HDSS sites, these decreases were driven by reductions in HIV and tuberculosis-related deaths. In 2010-14, the top causes of death were: road traffic accidents, HIV or tuberculosis, and meningitis or sepsis in adolescents (12-19 years); HIV or tuberculosis in adults aged 20-59 years; and neoplasms and cardiovascular disease in adults aged 60 years and older. There was greater between-HDSS and between-sex variation in causes of death for adolescents compared with adults.
INTERPRETATION CONCLUSIONS
This study shows progress in reducing mortality across eastern and southern Africa but also highlights age, sex, within-HDSS, and between-HDSS differences in causes of adolescent and adult deaths. These findings highlight the importance of detailed local data to inform health needs to ensure continued improvements in survival.
FUNDING BACKGROUND
National Institute of Child Health and Human Development of the US National Institutes of Health.

Identifiants

pubmed: 39030059
pii: S2214-109X(24)00171-2
doi: 10.1016/S2214-109X(24)00171-2
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1278-e1287

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests LM reports research grants from Wellcome Trust, the US National Institutes of Health (NIH), and Medical Research Council Centre for Global Infectious Disease Analysis funding from the UK Medical Research Council (MRC) and the UK Department for International Development. SG reports research grants from Wellcome Trust, NIH, Bill & Melinda Gates Foundation, and WHO; financial support for attending meetings and travel from Imperial College London; and participation on a Data Safety Monitoring Board at Kings College London and as a board member at Biomedical Research Training Institute, Harare, Zimbabwe. CC reports research grants from NIH. SJC reports research grants from NIH; and acting as a paid consultant on verbal autopsy implementation methods and software for two non-governmental organisations (Vital Strategies and CDC Foundation). All other authors declare no competing interests. LM, CN, and SG have received funding from the MRC Centre for Global Infectious Disease Analysis (reference MR/R015600/1), jointly funded by the UK MRC and the UK Foreign, Commonwealth & Development Office (FCDO), under the MRC and FCDO Concordat agreement and this centre is also part of the European and Developing Countries Clinical Trials Partnership programme supported by the EU; and LM, CN, and SG have received funding by Community Jameel.

Auteurs

Yue Chu (Y)

Department of Sociology, The Ohio State University, Columbus, OH, USA; Institute for Population Research, The Ohio State University, Columbus, OH, USA; Translational Data Analytics Institute, The Ohio State University, Columbus, OH, USA. Electronic address: chu.282@osu.edu.

Milly Marston (M)

Department of Population Health, London School of Hygiene & Tropical Medicine, London, UK.

Albert Dube (A)

Malawi Epidemiology and Intervention Research Unit, Karonga, Malawi.

Charles Festo (C)

Health System, Impact Evaluation and Policy Department, Ifakara Health Institute, Ifakara, Tanzania.

Eveline Geubbels (E)

Health System, Impact Evaluation and Policy Department, Ifakara Health Institute, Ifakara, Tanzania.

Simon Gregson (S)

MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK; Manicaland Centre for Public Health Research, Biomedical Research and Training Institute, Harare, Zimbabwe.

Kobus Herbst (K)

Africa Health Research Institute, KwaZulu-Natal, Durban, South Africa; Department of Science and Innovation-Medical Research Council South African Population Research Infrastructure Network, Durban, South Africa.

Chodziwadziwa Kabudula (C)

MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.

Kathleen Kahn (K)

MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.

Tom Lutalo (T)

Rakai Health Sciences Program, Kalisizo, Uganda.

Louisa Moorhouse (L)

MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.

Robert Newton (R)

Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda; Department of Health Sciences, University of York, York, UK.

Constance Nyamukapa (C)

MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK; Manicaland Centre for Public Health Research, Biomedical Research and Training Institute, Harare, Zimbabwe.

Ronald Makanga (R)

Medical Research Council/Uganda Virus Research Institute and London School of Hygiene & Tropical Medicine Uganda Research Unit, Entebbe, Uganda.

Emma Slaymaker (E)

Department of Population Health, London School of Hygiene & Tropical Medicine, London, UK.

Mark Urassa (M)

National Institute for Medical Research, Mwanza Centre, Mwanza, Tanzania.

Abdhalah Ziraba (A)

African Population and Health Research Center, Nairobi, Kenya.

Clara Calvert (C)

Department of Population Health, London School of Hygiene & Tropical Medicine, London, UK; Usher Institute, University of Edinburgh, Edinburgh, UK.

Samuel J Clark (SJ)

Department of Sociology, The Ohio State University, Columbus, OH, USA; Institute for Population Research, The Ohio State University, Columbus, OH, USA; Translational Data Analytics Institute, The Ohio State University, Columbus, OH, USA; MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa.

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