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首页> 外文期刊>Health economics >Exploring the social value of health-care interventions: a stated preference discrete choice experiment.
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Exploring the social value of health-care interventions: a stated preference discrete choice experiment.

机译:探索卫生保健干预措施的社会价值:一项陈述的偏好离散选择实验。

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摘要

Much of the literature on distributive preferences covers specific considerations in isolation, and recent reviews have suggested that research is required to inform on the relative importance of various key considerations. Responding to this research recommendation, we explore the distributive preferences of the general public using a set of generic social value judgments. We report on a discrete choice experiment (DCE) survey, using face-to-face interviews, in a sample of the general population (n=259). The context for the survey was resource allocation decisions in the UK National Health Service, using the process of health technology appraisal as an example. The attributes used covered health improvement, value for money, severity of health, and availability of other treatments, and it is the first such survey to use cost-effectiveness in scenarios described to the general public. Results support the feasibility and acceptability of the DCE approach for the elicitation of public preferences. Choice data are used to consider the relative importance of changes across attribute levels, and to model utility scores and relative probabilities for the full set of combinations of attributes and levels in the experimental design used (n=64). Results allow the relative social value of health technology scenarios to be explored. Findings add to a sparse literature on 'social' preferences, and show that DCE data can be used to consider the strength of preference over alternative scenarios in a priority-setting context.
机译:有关分配偏好的许多文献都是孤立地讨论了具体的考虑因素,最近的评论表明,需要进行研究以告知各种关键考虑因素的相对重要性。根据这项研究建议,我们使用一组通用的社会价值判断来探讨普通大众的分配偏好。我们以面对面访谈的方式对普通人群(n = 259)进行了离散选择实验(DCE)调查。调查的背景是英国国家卫生服务局中的资源分配决策,以卫生技术评估过程为例。使用的属性包括健康改善,物有所值,健康严重性和其他治疗的可用性,并且这是第一个在向公众描述的情况下使用成本效益的调查。结果证明了DCE方法在引发公众偏好方面的可行性和可接受性。选择数据用于考虑跨属性级别变化的相对重要性,并在使用的实验设计中为属性和级别的完整组合的完整集建模效用得分和相对概率(n = 64)。结果使人们可以探索卫生技术方案的相对社会价值。调查结果增加了关于“社会”偏好的稀疏文献,并表明DCE数据可用于在设定优先级的情况下考虑替代方案的偏好强度。

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