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Bóa cáo y học: "Is the value of a life or life-year saved context specific? Further evidence from a discrete choice experiment"

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: Is the value of a life or life-year saved context specific? Further evidence from a discrete choice experiment. | Cost Effectiveness and Resource Allocation BioMed Central Research Is the value of a life or life-year saved context specific Further evidence from a discrete choice experiment Duncan Mortimer 1 2 and Leonie Segal1 2 Address 1Centre for Health Economics Faculty of Business Economics Monash University Melbourne Australia and 2Faculty of Nursing Midwifery University of South Australia Adelaide Australia Email Duncan Mortimer - duncan.mortimer@buseco.monash.edu.au Leonie Segal - leonie.segal@unisa.edu.au Corresponding author Open Access Published 20 May 2008 Received 19 October 2007 Cost Effectiveness and Resource Allocation 2008 6 8 doi l0.ll86 1478-7547-6-8 Accepted 20 May 2008 This article is available from http www.resource-allocation.cOm content 6 1 8 2008 Mortimer and Segal licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract_ Background A number of recent findings imply that the value of a life saved life-year LY saved or quality-adjusted life year QALY saved varies depending on the characteristics of the life LY or QALY under consideration. Despite these findings budget allocations continue to be made as if all healthy life-years are equivalent. This continued focus on simple health maximisation is partly attributable to gaps in the available evidence. The present study attempts to close some of these gaps. Methods Discrete choice experiment to estimate the marginal rate of substitution between cost effectiveness and various non-health arguments. Odds of selecting profile B over profile A estimated via binary logistic regression. Marginal rates of substitution between attributes including cost then derived from estimated .