Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Generalized cost-effectiveness analysis for national-level priority-setting in the health sector. | Cost Effectiveness and Resource Allocation Methodology BioMed Central Open Access Generalized cost-effectiveness analysis for national-level priority-setting in the health sector Raymond Hutubessy1 Dan Chisholm 2 Tessa Tan-Torres Edejer2 and WHO-CHOICE Address 1Stop TB Programme STB HIV AIDS TB and Malaria cluster HTM World Health Organization and 2Department of Evidence for Health Policy Evidence and Information for Policy World Health Organization Email Raymond Hutubessy - hutubessyr@ Dan Chisholm - chisholmd@ Tessa Tan-Torres Edejer - tantorrest@ WHO-CHOICE - Corresponding author Published 19 December 2003 Received 06 May 2003 Cost Effectiveness and Resource Allocation 2003 1 8 Accepted 19 December 2003 This article is available from http content 1 1 8 2003 Hutubessy et al licensee BioMed Central Ltd. This is an Open Access article verbatim copying and redistribution of this article are permitted in all media for any purpose provided this notice is preserved along with the article s original URL. Abstract Cost-effectiveness analysis CEA is potentially an important aid to public health decision-making but with some notable exceptions its use and impact at the level of individual countries is limited. A number of potential reasons may account for this among them technical shortcomings associated with the generation of current economic evidence political expediency social preferences and systemic barriers to implementation. As a form of sectoral CEA Generalized CEA sets out to overcome a number of these barriers to the appropriate use of cost-effectiveness information at the regional and country level. Its application via WHO-CHOICE provides a new economic evidence base as well as underlying methodological developments concerning the costeffectiveness of a range of health interventions for leading causes of and risk factors for disease. The estimated sub-regional costs and effects of different interventions provided
