| Titre : | Verbal autopsy as a tool for diagnosing HIV-related adult deaths in rural Uganda. (1996) |
| Auteurs : | A. KAMALI ; J.F. KENGEYA-KAYONDO ; D.W. MULDER ; J. NAKIYINGI ; I. SABIITI ; H.U. WAGNER ; Medical Research Council Uk Programme on Aids in Uganda and Uganda Virus Research Institute. Po Box 49. Entebbe. UGA |
| Type de document : | Article |
| Dans : | International journal of epidemiology (vol. 25, n° 3, 1996) |
| Pagination : | 679-684 |
| Langues: | Anglais |
| Mots-clés : | Virose ; Infection ; Mortalité ; Epidémiologie ; Diagnostic ; Milieu rural ; Ouganda ; Afrique ; Homme ; Virus ; Complication ; Maladie autoimmune ; Sida |
| Résumé : | [BDSP. Notice produite par INIST pX5R0x2s. Diffusion soumise à autorisation]. Background. In general, information on the causes of adult deaths in developing countries is scarce. More specifically, relatively little is known about the effect of HIV-1 associated disease on adult mortality in general populations. In this study we have used a verbal autopsy technique to ascertain whether adult deaths were associated with HIV-1 in a rural population with a prevalence of HIV-1 infection of 8%, and used HIV-1 antibody status to validate the verbal autopsy findings. Methods. All adult deaths in the population cohort that occurred between December 1990 and November 1993 were identified through a monthly death registration system. Approximately 2 months after death, a relative of the deceased was interviewed by a trained nurse, and questionnaires were assessed by at least two independent clinicians ; all were unaware of the HIV serostatus of the deceased. Results. A total of 155 adult deaths was assessed, i.e. 53% of all recorded adult deaths. Of those assessed half were HIV-1 positive. In all 47% of deaths were classified as HIV-related. The overall specificity and positive predictive value of the verbal autopsy tool were both 92% ; in those aged 13-44 years (83 adults) the corresponding values were 85% and 95% respectively. The verbal autopsy estimated HIV-1 attributable mortality fraction was similar to the calculated fraction based on prospective data. Conclusions. (...) |
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