Department of Public Health, Erasmus MC - University Medical Centre, Rotterdam, The Netherlands.
Health Econ. 2012 Feb;21(2):145-72. doi: 10.1002/hec.1697. Epub 2010 Dec 19.
Discrete choice experiments (DCEs) have become a commonly used instrument in health economics. This paper updates a review of published papers between 1990 and 2000 for the years 2001-2008. Based on this previous review, and a number of other key review papers, focus is given to three issues: experimental design; estimation procedures; and validity of responses. Consideration is also given to how DCEs are applied and reported. We identified 114 DCEs, covering a wide range of policy questions. Applications took place in a broader range of health-care systems, and there has been a move to incorporating fewer attributes, more choices and interview-based surveys. There has also been a shift towards statistically more efficient designs and flexible econometric models. The reporting of monetary values continues to be popular, the use of utility scores has not gained popularity, and there has been an increasing use of odds ratios and probabilities. The latter are likely to be useful at the policy level to investigate take-up and acceptability of new interventions. Incorporation of interactions terms in the design and analysis of DCEs, explanations of risk, tests of external validity and incorporation of DCE results into a decision-making framework remain important areas for future research.
离散选择实验(DCE)已成为健康经济学中常用的工具。本文更新了 1990 年至 2000 年期间发表的论文的综述,涵盖了 2001 年至 2008 年的研究。基于之前的综述和其他一些关键的综述论文,本文重点关注三个问题:实验设计、估计程序和反应的有效性。此外,还考虑了 DCE 的应用和报告方式。我们确定了 114 项 DCE,涵盖了广泛的政策问题。这些应用发生在更广泛的医疗保健系统中,并且已经朝着减少属性、增加选择和基于访谈的调查的方向发展。此外,还朝着更有效的统计设计和灵活的计量经济学模型转变。报告货币价值的方法仍然很受欢迎,效用评分的使用并没有普及,而赔率和概率的使用越来越多。后者可能在政策层面上对于调查新干预措施的接受度和可接受性非常有用。在 DCE 的设计和分析中纳入交互项、解释风险、测试外部有效性以及将 DCE 结果纳入决策框架仍然是未来研究的重要领域。