Discrete Choice Experiments in Health Economics: Past, Present and Future.
Discrete Choice Experiments in Health Economics: Past, Present and Future.
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DOI：
10.1007/s40273-018-0734-2
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发表时间：
2019-03
影响因子：
4.4
通讯作者：
Vass CM
中科院分区：
文献类型：
--
作者：
Soekhai V;de Bekker-Grob EW;Ellis AR;Vass CM
离散选择实验（DCEs）作为一种量化健康偏好的方法越来越受到推崇。然而，增加支持并不一定会提高质量。虽然在某些情况下进行了具体审查，但最近没有对与健康有关的离散性死亡的科学总体状况进行描述。本文的目的是更新先前的综述（1990-2012），确定所有与健康相关的dce，并提供趋势、当前实践和未来挑战的描述。对2013年至2017年间发表的与健康相关的实证dce进行了系统的文献综述。搜索策略和数据提取复制了先前的审查，以便报告趋势，尽管合并了额外的提取字段。在生成的7877篇摘要中，有301篇研究符合纳入标准并进行了数据提取。总的来说，每年发展中国家发展中心的总数继续增加，应用领域和地理范围都在扩大。研究报告使用更复杂的设计（如D-efficient）和相关的软件（如Ngene）。使用更复杂的计量经济模型的趋势也在继续。然而，许多研究提出了复杂的方法，但细节不足。定性研究方法仍然是识别属性和水平的流行方法。在卫生经济学中使用经验性数据分析的情况继续增加。然而，不充分的方法细节报告阻碍了质量评估。这可能会降低决策者对结果的信心，以及他们根据发现采取行动的能力。如何以及何时将与健康相关的DCE结果纳入决策仍然是未来研究的重要领域。本文的在线版本（10.1007/s40273-018-0734-2）包含补充资料，仅供授权用户使用。
Discrete choice experiments (DCEs) are increasingly advocated as a way to quantify preferences for health. However, increasing support does not necessarily result in increasing quality. Although specific reviews have been conducted in certain contexts, there exists no recent description of the general state of the science of health-related DCEs. The aim of this paper was to update prior reviews (1990–2012), to identify all health-related DCEs and to provide a description of trends, current practice and future challenges. A systematic literature review was conducted to identify health-related empirical DCEs published between 2013 and 2017. The search strategy and data extraction replicated prior reviews to allow the reporting of trends, although additional extraction fields were incorporated. Of the 7877 abstracts generated, 301 studies met the inclusion criteria and underwent data extraction. In general, the total number of DCEs per year continued to increase, with broader areas of application and increased geographic scope. Studies reported using more sophisticated designs (e.g. D-efficient) with associated software (e.g. Ngene). The trend towards using more sophisticated econometric models also continued. However, many studies presented sophisticated methods with insufficient detail. Qualitative research methods continued to be a popular approach for identifying attributes and levels. The use of empirical DCEs in health economics continues to grow. However, inadequate reporting of methodological details inhibits quality assessment. This may reduce decision-makers’ confidence in results and their ability to act on the findings. How and when to integrate health-related DCE outcomes into decision-making remains an important area for future research. The online version of this article (10.1007/s40273-018-0734-2) contains supplementary material, which is available to authorized users.
影响因子：
4.5
作者：
Alayli-Goebbels, Adrienne F. G.;Dellaert, Benedict G. C.;Severens, J. L.
通讯作者：
Severens, J. L.
影响因子：
3.4
作者：
Agyei-Baffour, Peter;Boahemaa, Mary Yaa;Addy, Ernestine A.
通讯作者：
Addy, Ernestine A.
影响因子：
3.6
作者：
Ageyi-Baffour, Peter;Rominski, Sarah;Lori, Jody R.
通讯作者：
Lori, Jody R.