Sassi Franco
Department of Social Policy, The London School of Economics and Political Science, London, UK.
Health Policy Plan. 2006 Sep;21(5):402-8. doi: 10.1093/heapol/czl018. Epub 2006 Jul 28.
Quality-adjusted life years (QALYs) have been used in the assessment of health interventions for three decades. The popularity of the QALY approach has been constantly increasing, although the debate on its theoretical underpinnings and practical implications is still ongoing. Disability-adjusted life years (DALYs), also widely debated, were shaped some 20 years later, broadly within the same conceptual framework but with a number of important differences. This paper provides a comprehensive formulation of QALY calculation methods, offering practical instruments for assessing the impact of health interventions, similar to those made available elsewhere for calculating DALYs. Systematic differences between QALYs and DALYs are explained by reference to two examples: the prevention of tuberculosis and the treatment of bipolar depression. When a health intervention is aimed at preventing or treating a non-fatal disease, the relationship between QALYs gained and DALYs saved depends on age of onset and duration of the disease, as well as the quality of life and disability weights. In the case of a potentially fatal disease, a larger number of factors may determine differences between outcomes assessed with the two metrics. The relative importance of some of these factors is discussed and illustrated graphically in the paper. Understanding similarities and differences between QALYs and DALYs is important to researchers and policy makers, for a sound interpretation of the evidence on the outcomes of health interventions.
质量调整生命年(QALYs)已用于健康干预措施的评估长达三十年。尽管关于其理论基础和实际影响的争论仍在继续,但QALY方法的受欢迎程度一直在不断提高。残疾调整生命年(DALYs)也受到广泛争论,大约在二十年后形成,大致在相同的概念框架内,但存在一些重要差异。本文全面阐述了QALY的计算方法,提供了评估健康干预措施影响的实用工具,类似于其他地方提供的用于计算DALYs的工具。通过结核病预防和双相情感障碍治疗这两个例子来解释QALYs和DALYs之间的系统差异。当一项健康干预措施旨在预防或治疗非致命疾病时,获得的QALYs与挽救的DALYs之间的关系取决于发病年龄、疾病持续时间以及生活质量和残疾权重。对于潜在致命疾病,更多因素可能决定两种指标评估结果之间的差异。本文讨论了其中一些因素的相对重要性并用图表进行了说明。了解QALYs和DALYs之间的异同对研究人员和政策制定者很重要,有助于他们对健康干预措施结果的证据进行合理解读。