Titre :
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Steady state assumptions in DALYs : effect on estimates of HIV impact. (1999)
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Auteurs :
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A.A. HYDER ;
R.H. MORROW ;
Department of International Health. Division of Health Systems. School of Public Health. Johns Hopkins University. Baltimore. MD. USA
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Type de document :
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Article
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Dans :
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Journal of epidemiology and community health (vol. 53, n° 1, 1999/01)
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Pagination :
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43-45
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Langues:
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Anglais
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Mots-clés :
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Sida
;
Virose
;
Infection
;
Homme
;
Indicateur santé [épidémiologie]
;
Epidémiologie
;
Evaluation
;
Evolution
;
Etude comparée
;
Méthodologie
;
Incapacité
;
Indicateur
;
Etat santé
;
Immunopathologie
;
Espérance vie
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Résumé :
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[BDSP. Notice produite par INIST xWLuHR0x. Diffusion soumise à autorisation]. Objective-The disability adjusted life year (DALY) and the healthy life year (HeaLY) are both composite indicators of disease burden in a population, which combine healthy life lost from mortality and morbidity. The two formulations deal with the onset and course of a disease differently. The purpose of this paper is to compare the DALY and HeaLY formulations as to differences in apparent impact when a disease is not in an epidemiological steady state and to explore the implications of the differing results. Design-HIV is used as a case study of a major disease that is entering its explosive growth phase in large areas of Asia. Data from the global burden of disease study of the World Bank and World Health Organisation for 1990 has been used to compare burden of disease measures in the two formulations. Setting-The data pertain to global and regional estimates of HIV impact. Results-The DALY attributes life lost from premature mortality to the year of death, while the HeaLY to the year of disease onset. This results in very large differences in estimates of healthy life lost based upon the DALY construct as compared with the HeaLY, for diseases such as HIV or those with a strong secular trend. Conclusion-The demonstration of the dramatic difference between the two indicators of disease burden reflects a limitation of the DALY. This information may directly influence decision making based on such methods and is critical to understand.
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