Enhancing the value of death registration with verbal autopsy data: a pilot study in the Senegalese urban population in 2019.

Dakar Death registration Epidemiological transition Senegal Verbal autopsies

Journal

Archives of public health = Archives belges de sante publique
ISSN: 0778-7367
Titre abrégé: Arch Public Health
Pays: England
ID NLM: 9208826

Informations de publication

Date de publication:
29 Mar 2023
Historique:
received: 29 09 2022
accepted: 20 03 2023
medline: 30 3 2023
entrez: 29 3 2023
pubmed: 30 3 2023
Statut: epublish

Résumé

There is no source of data on causes of death in Senegal that covers both community and hospital deaths. Yet the death registration system in the Dakar region is relatively complete (>80%) and could be expanded to provide information on the diseases and injuries that led to death. In this pilot study, we recorded all deaths that occurred over 2 months and were reported in the 72 civil registration offices in the Dakar region. We selected the deaths of residents of the region and administered a verbal autopsy to a relative of the deceased to identify the underlying causes of death. Causes of death were assigned using the InterVA5 model. The age structure of deaths registered at the civil registry differed from that of the census, with a proportion of infant deaths about twice as high as in the census. The main causes of death were prematurity and obstetric asphyxia in newborns. Meningitis and encephalitis, severe malnutrition, and acute respiratory infections were the leading causes from 1 month to 15 years of age. Cardiovascular diseases accounted for 27% of deaths in adults aged 15-64 and 45% of deaths among adults above age 65, while neoplasms accounted for 20% and 12% of deaths in these two age groups, respectively. This study demonstrates that the epidemiological transition is at an advanced stage in urban areas of Dakar, and underlines the importance of conducting regular studies based on verbal autopsies of deaths reported in civil registration offices.

Sections du résumé

BACKGROUND BACKGROUND
There is no source of data on causes of death in Senegal that covers both community and hospital deaths. Yet the death registration system in the Dakar region is relatively complete (>80%) and could be expanded to provide information on the diseases and injuries that led to death.
METHODS METHODS
In this pilot study, we recorded all deaths that occurred over 2 months and were reported in the 72 civil registration offices in the Dakar region. We selected the deaths of residents of the region and administered a verbal autopsy to a relative of the deceased to identify the underlying causes of death. Causes of death were assigned using the InterVA5 model.
RESULTS RESULTS
The age structure of deaths registered at the civil registry differed from that of the census, with a proportion of infant deaths about twice as high as in the census. The main causes of death were prematurity and obstetric asphyxia in newborns. Meningitis and encephalitis, severe malnutrition, and acute respiratory infections were the leading causes from 1 month to 15 years of age. Cardiovascular diseases accounted for 27% of deaths in adults aged 15-64 and 45% of deaths among adults above age 65, while neoplasms accounted for 20% and 12% of deaths in these two age groups, respectively.
CONCLUSIONS CONCLUSIONS
This study demonstrates that the epidemiological transition is at an advanced stage in urban areas of Dakar, and underlines the importance of conducting regular studies based on verbal autopsies of deaths reported in civil registration offices.

Identifiants

pubmed: 36991465
doi: 10.1186/s13690-023-01067-6
pii: 10.1186/s13690-023-01067-6
pmc: PMC10050820
doi:

Types de publication

Journal Article

Langues

eng

Pagination

45

Subventions

Organisme : Académie de recherche et d'enseignement supérieur
ID : PRD-2016-ASSESS
Organisme : Académie de recherche et d'enseignement supérieur
ID : PRD-2016-ASSESS
Organisme : Académie de recherche et d'enseignement supérieur
ID : PRD-2016-ASSESS

Informations de copyright

© 2023. The Author(s).

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Auteurs

Khadim Niang (K)

Department of Public Health and Social Medicine, University of Gaston Berger, Saint-Louis, Senegal.

Atoumane Fall (A)

Agence Nationale de la Statistique et de la Démographie (ANSD), Dakar, Senegal.

Samba Ndiaye (S)

Agence Nationale de la Statistique et de la Démographie (ANSD), Dakar, Senegal.

Maguette Sarr (M)

Agence Nationale de la Statistique et de la Démographie (ANSD), Dakar, Senegal.

Khady Ba (K)

Agence Nationale de la Statistique et de la Démographie (ANSD), Dakar, Senegal.

Bruno Masquelier (B)

Center for Demographic Research, Louvain University, Louvain-la-Neuve, Belgium. bruno.masquelier@uclouvain.be.

Classifications MeSH