Arnesen Trude, Kapiriri Lydia
Fafo Institute of Applied International Studies, P.O. Box 2947, Tøyen, NO-0608 Oslo, Norway.
Health Policy. 2004 Nov;70(2):137-49. doi: 10.1016/j.healthpol.2003.08.004.
The "disability adjusted life years" (DALYs) are increasingly used as a tool for decision-making and for describing the distribution of the Global Burden of Disease. The "DALY" combines information about mortality and morbidity, with several value choices such as disability weighting, age-weighting and discounting. These value choices imply that life years are assigned different value, depending on the age and the health state they are in. How robust is the distribution of DALYs to changes in these value choices, and are the choices transparent at the point of use? We calculated the burden attributed to "developmental disability due to malnutrition" and "major depression" with alternative value choices in a simple sensitivity analysis. In particular, we explored the relation between disability weight, health state description and incidence rate. The formulae and information needed was found in the World Health Organisation (WHO) publications using DALYs, and in a survey among international health workers. We found that alternative age-weights, disability weights and discount rate led to an inversion in the ranking of the burden of the two conditions. The DALY loss attributed to "developmental disability due to malnutrition" increased from 14 to 90%, while that of "major depression" sunk from 86 to 10%. The value choices currently used, tend at underestimating the disease burden attributed to young populations and to communicable diseases and this goes against the renewed efforts of the WHO of targeting diseases that are typical of poor populations. While the value choices may be changed, lack of transparency is a more profound problem. At the point of use, the number of DALYs attributed to a condition cannot be fully disaggregated. Hence, one cannot know which part of a DALY loss reflects the age group affected, the prevalence, the mortality rates, the disability weight assigned to it, or to how the condition has been defined. A more transparent and useful approach, we believe, would be to present the years lost due to a disease, and the years lived with a disease separately, without disability weights, age-weights and discounting. This would keep the best of the DALY approach and come closer to the aim of disentangling science from advocacy.
“伤残调整生命年”(DALYs)越来越多地被用作决策工具以及描述全球疾病负担的分布情况。“DALY”综合了死亡率和发病率信息,以及诸如残疾加权、年龄加权和贴现等多种价值选择。这些价值选择意味着生命年被赋予了不同的价值,这取决于年龄以及所处的健康状态。DALYs的分布对于这些价值选择的变化有多稳健,以及这些选择在使用时是否透明?我们在一项简单的敏感性分析中,用替代价值选择计算了归因于“营养不良所致发育性残疾”和“重度抑郁症”的负担。特别是,我们探讨了残疾权重、健康状态描述和发病率之间的关系。所需的公式和信息来自世界卫生组织(WHO)使用DALYs的出版物,以及一项针对国际卫生工作者的调查。我们发现,替代年龄权重、残疾权重和贴现率导致了这两种疾病负担排名的反转。归因于“营养不良所致发育性残疾”的DALY损失从14%增加到90%,而“重度抑郁症”的则从86%降至10%。目前使用的价值选择往往低估了归因于年轻人群和传染病的疾病负担,这与WHO重新致力于针对贫困人口典型疾病的努力背道而驰。虽然价值选择可能会改变,但缺乏透明度是一个更严重的问题。在使用时,归因于一种疾病的DALYs数量无法完全分解。因此,人们无法知道DALY损失的哪一部分反映了受影响的年龄组、患病率、死亡率、赋予它的残疾权重,或者该疾病是如何定义的。我们认为,一种更透明、更有用的方法是分别列出因一种疾病而损失的年数和带病生存的年数,不使用残疾权重、年龄权重和贴现。这将保留DALY方法的优点,并更接近将科学与宣传区分开来的目标。