Active Pregnancy, Children & Inherited Conditions Public Health & Healthcare

Child and adolescent mortality: sociodemographic variation in cause of death in Eastern and Southern Africa

In plain English

AI plain-English summary

In Eastern and Southern Africa, seven demographic surveillance sites have tracked every child and adolescent death from 1994 to 2022, but the cause of death for many remains uncertain. The problem is that low-income countries lack the robust death registration systems found in high-income nations. Instead, they rely on verbal autopsies—interviews with relatives about symptoms and circumstances before death—but the accuracy of these interviews for children and adolescents is poorly understood. This project will compare two methods of assigning cause of death from verbal autopsies: physician review and automated algorithms. The researchers will assess how reliably algorithms can attribute deaths to specific causes like malaria versus broader categories like infectious disease. If successful, the work will produce population-based estimates of what kills children and adolescents in the region and how those causes vary by sociodemographic group. Country policymakers and international agencies like the World Health Organization can then use these estimates to prioritise interventions and optimise health systems. The project will also train local surveillance teams to repeat these analyses regularly, building a lasting platform for evidence-based decisions.

View original technical description
Too many children and adolescents are dying globally, with particularly high numbers of deaths in Eastern and Southern Africa. To ensure policymakers can make informed choices on how to prioritise interventions and optimise health systems to reduce mortality requires data on the causes of death in children and adolescents and an understanding of how the risk of these varies across sociodemographic groups. While in most high-income countries there are robust systems to capture cause of death information on the whole population, these do not generally exist in low-income countries. In the absence of such systems, demographic surveillance sites (DSS) have been established to collect demographic data at regular intervals within geographically defined populations (e.g., on the number of births and deaths in the population) (Herbst et al, 2021). In DSS, reported deaths are typically followed up with a verbal autopsy (VA), an interview where a relative or caregiver provides information on the signs and symptoms, and the social and healthcare circumstances, preceding the death which can be used to assign the most likely cause of death (Chandramohan et al, 2021; Fottrell and Byass, 2010). Unfortunately, the accuracy of cause of death assignment using VA remains particularly poorly understood among children and adolescents. There are two main approaches to assigning cause of death based on VA information. The first method is physician review, where 2-3 physicians review the VA and assign cause of death. More recently, however, algorithms have been developed to automate the cause of death assignment (Byass et al, 2019; McCormick et al, 2016; Serina et al, 2015). Our aim is to provide population-based estimates of the causes of child and adolescent deaths (0-19 years old) in Eastern and Southern Africa, and assess how these vary by sociodemographic characteristics. To do this, we will use a rich VA dataset that has been compiled by the Analysing Longitudinal Population-based HIV/AIDS data on Africa (ALPHA) network, harmonising data from seven DSS across five countries in Eastern and Southern Africa and covering the period 1994 to 2022. The specific objectives are as follows: To assess the quality of VA data for children and adolescents. To compare methods of assigning cause of death for children and adolescents from VA data. To provide population-based estimates of the causes of child and adolescent death, and look at how these vary by key sociodemographic characteristics. To explore the social and health system circumstances surrounding child and adolescent deaths. There are several important applications anticipated. Firstly, we will provide recommendations on using algorithms to assign cause of death in children and adolescents from VA. For example, we will ascertain at what level of detail causes can be reliably assigned (e.g., where we can attribute a death to specific cause of death, such as “malaria”, and where we can we only ascertain cause of death at a broader level, such as “infectious disease”). Secondly, we will provide training to DSS teams on how to conduct these analyses, so there is a strong platform to produce similar estimates at regular intervals in the future. Finally, we will provide much needed empirical estimates of the sociodemographic and healthcare drivers and causes of child and adolescent mortality in a region lacking these data, which can be used by country policymakers as well as international agencies such as the World Health Organization.

View the original record at the funder ↗

Researchers

Abdhalah Ziraba (Co-Investigator)Clara Calvert (Principal Investigator)Milly Marston (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Evaluating the use of verbal autopsy methods for producing cause of death estimates in Uganda
Verbal Autopsy with Participatory Action Research (VA-PAR): Developing a people-centred health systems research methodology
Leveraging routine programme data for understanding under-five mortality patterns in sub-Saharan Africa
Registering Births and Deaths in Kenya: Current problems, solution pathways and interventions.
Early Life Exposures And Development Of Non-communicable Diseases In Adolescence: The Drakenstein Child Health Study

Original classification

Research and Innovation

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.