Studying multiple causes of death through verbal autopsies
Contribution of an index of similarity
Bibliographic Data
| ID | 7743812 |
|---|---|
| Authors | Ariane Sessego (0009-0003-8798-7599), Géraldine Duthé (0000-0002-0843-8715), Bruno Lankoandé, Dianou Kassoum |
| Year | 2025 |
| Volume | 52 |
| Pages | 229-272 |
| Publication date | 2025-02-07 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Demographic Research (JOURNAL) |
| Journal identifiers | ISSN: 1435-9871 • E-ISSN: 2363-7064 |
| Publisher | Max Planck Institute for Demographic Research (PUBLISHER • DE) |
| DOI | 10.4054/demres.2025.52.8 |
| OpenAlex | W4407203149 |
| Language | EN |
| References cited | 39 |
BACKGROUNDThe analysis of multiple causes of death was developed in high-income countries to study complex morbid processes leading to death.In other countries, such studies are severely limited by the lack of death certificates.Some cause-of-death statistics are produced at the local level through verbal autopsies (VAs): the collecting of information on medical history and symptoms reported by the final caregiver.Algorithmic models have been developed to estimate probable causes of death in a standardized and cost-effective manner.We investigate their potential to identify multiple causes. OBJECTIVEBayesian models provide probabilities for all possible causes for each death.If multiple causes are probable, it could indicate multimorbidity or an uncertain diagnosis.In this paper, we aim to distinguish between these two possibilities. METHODSThe INDEPTH Network provides a dataset of 72,300 adult deaths from 22 Health and Demographic Surveillance System (HDSS) sites in Asia and Africa, disaggregated by age, sex, and probable causes of death as determined by the InterVA-4 model.Using the model's probability matrix, we estimated the degree of similarity between causes and identified those with significant dissimilarities as probable multimorbidities.We test our approach using detailed VA data from the Ouagadougou HDSS (1,714 deaths)
Cause of death · Disease · Pathology · Statistics · Verbal autopsy · Autopsy Techniques and Outcomes · Chronic Disease Management Strategies · Computer Science · Emergency and Acute Care Studies · Mathematics · Medicine · Psychology · Artificial Intelligence
World Population Prospects 2022
The Epidemiologic Transition
Multimorbidity
The double burden of communicable and non-communicable diseases in developing countries
A Systematic Review of Prevalence Studies on Multimorbidity
A global assessment of civil registration and vital statistics systems
Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019
Double burden of malnutrition
Estimating causes of death where there is no medical certification
Integrating community-based verbal autopsy into civil registration and vital statistics (CRVS)
Adult non-communicable disease mortality in Africa and Asia
Cause-specific mortality in Africa and Asia
Strengthening standardised interpretation of verbal autopsy data
Revisiting the mortality of France and Italy with the multiple-cause-of-death approach
| Highly cited | No |
|---|