Résumé :
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[BDSP. Notice produite par INIST luLR0xZn. Diffusion soumise à autorisation]. Background The verbal autopsy (VA) is used to collect information on cause-specific mortality from bereaved relatives. A cause of death may be assigned by physician review of the questionnaires, or by an algorithm. We compared the diagnostic accuracy of physician review, an expert algorithm, and data-derived algorithms. Methods Data were drawn from a multicentre validation study of 796 adult deaths that occurred in hospitals in Tanzania, Ethiopia, and Ghana. A'gold standard'cause of death was assigned using hospital records and death certificates. The VA interviews were carried out by trained fieldworkers 1-21 months after the subject's death. A cause of death was assigned by physician review and an expert algorithm. Data-derived algorithms that most accurately estimated the cause-specific mortality fraction (CSMF) for each cause of death were identified using logistic regression. Results The most common causes of death were tuberculosis/AIDS (CSMF=18.6%), malaria (CSMF=10.7%), meningitis (CSMF=8.3%), and cardiovascular disorders (CSMF=8.2%). The CSMF obtained using physician review was within 20% of the gold standard value for 12 causes of death including the four common causes. The CSMF obtained using the expert algorithm was within 20% of the gold standard for eight causes of death, including tuberculosis/AIDS, malaria, and meningitis. (...)
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