Titre :
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Maternal mortality in a rural district of southeastern Tanzania : an application of the sisterhood method. (2000)
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Auteurs :
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F. FONT ;
P.L. ALONSO ;
M. ALONSO GONZALEZ ;
J. KIMARIO ;
F. LWILLA ;
R. NATHAN ;
M. TANNER ;
Epidemiology and Biostatistics Unit. Hospital Clinic. Barcelona. ESP ;
Ifakara Health Research and Development Centre. Ifakara. TZA
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Type de document :
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Article
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Dans :
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International journal of epidemiology (vol. 29, n° 1, 2000)
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Pagination :
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107-112
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Langues:
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Anglais
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Mots-clés :
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Tanzanie
;
Afrique
;
Epidémiologie
;
Homme
;
Femme
;
Mortalité maternelle
;
Mortalité
;
Mère
;
Milieu rural
;
Evaluation
;
Méthodologie
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Résumé :
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[BDSP. Notice produite par INIST 4R0xbIAz. Diffusion soumise à autorisation]. Background Deaths from maternal causes represent the leading cause of death among women of reproductive age in most developing countries. It is estimated that the highest risk occurs in Africa, with 20% of world births but 40% of the world maternal deaths. The level of maternal mortality is difficult to assess especially in countries without an adequate vital registration system. Indirect techniques are an attractive cost-effective tool to provide estimates of orders of magnitude for maternal mortality. Method The level of maternal mortality estimated by the sisterhood method is presented for a rural district in the Morogoro Region of Southeastern Tanzania and the main causes of maternal death are studied. Information from region-specific data using the sisterhood method is compared to data from other sources. Results The maternal mortality ratio (MMR) was 448 maternal deaths per 100 000 live births (95% CI : 363-534 deaths per 100 000 live births). Matemal causes accounted for 19% of total mortality in this age group. One in 39 women who survive until reproductive age will die before age 50 due to maternal causes. The main cause of death provided by hospital data was puerperal sepsis (35%) and postpartum haemorrhage (17%) ; this is compatible with the main causes reported for maternal death in settings with high levels of maternal mortality, and similar to data for other regions in Tanzania. (...)
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