Conjoint Analysis Applications in Health-a Checklist: A Report of the ISPOR Good Research Practices for Conjoint Analysis Task Force
Conjoint Analysis Applications in Health-a Checklist: A Report of the ISPOR Good Research Practices for Conjoint Analysis Task Force
复制标题
DOI：
10.1016/j.jval.2010.11.013
复制
发表时间：
2011-06-01
期刊：
影响因子：
4.5
通讯作者：
Mauskopf, Josephine
中科院分区：
文献类型：
--
作者：
Bridges, John F. P.;Hauber, A. Brett;Mauskopf, Josephine
背景资料：在过去的十年中，联合分析（包括离散选择实验和其他多属性状态偏好方法）在健康领域的应用迅速增加。由于缺乏基于共识的方法标准，这些方法的广泛接受受到限制。目的：国际药物经济学和结局研究学会（ISPOR）联合分析工作组的良好研究实践旨在确定健康联合分析应用的良好研究实践。研究方法：工作队定期开会，以确定联合分析的重要步骤，讨论联合分析的良好研究做法，并制定和完善确定良好研究做法的关键标准。ISPOR成员通过广泛的协商进程为这一进程作出了贡献。最后召开了一次协商一致会议，根据这些意见和一些国际评审员的意见对文章进行了修订。结果如下：工作组的研究结果以10项清单的形式呈现，包括：1）研究问题; 2）属性和水平; 3）任务的构建; 4）实验设计; 5）偏好诱导; 6）工具设计; 7）数据收集计划; 8）统计分析; 9）结果和结论; 10）研究报告。提出了与10个项目中的每一个项目有关的主要问题，三个子问题审查了项目中的更精细的问题。结论：虽然不应将清单解释为认可联合分析的任何特定方法，但它可以促进未来的培训活动和讨论在医疗保健研究中应用联合分析方法的良好研究实践。
Background: The application of conjoint analysis (including discrete-choice experiments and other multiattribute stated-preference methods) in health has increased rapidly over the past decade. A wider acceptance of these methods is limited by an absence of consensus-based methodological standards. Objective: The International Society for Pharmacoeconomics and Outcomes Research (ISPOR) Good Research Practices for Conjoint Analysis Task Force was established to identify good research practices for conjoint-analysis applications in health. Methods: The task force met regularly to identify the important steps in a conjoint analysis, to discuss good research practices for conjoint analysis, and to develop and refine the key criteria for identifying good research practices. ISPOR members contributed to this process through an extensive consultation process. A final consensus meeting was held to revise the article using these comments, and those of a number of international reviewers. Results: Task force findings are presented as a 10-item checklist covering: 1) research question; 2) attributes and levels; 3) construction of tasks; 4) experimental design; 5) preference elicitation; 6) instrument design; 7) data-collection plan; 8) statistical analyses; 9) results and conclusions; and 10) study presentation. A primary question relating to each of the 10 items is posed, and three sub-questions examine finer issues within items. Conclusions: Although the checklist should not be interpreted as endorsing any specific methodological approach to conjoint analysis, it can facilitate future training activities and discussions of good research practices for the application of conjoint-analysis methods in health care studies.