使用不同的TTO和DCE方法推导的四个值集的比较:应用于新的特定区域的PBM,AP-7D
Takeru Shiroiwa1, Tatsunori Murata2, Yasuhiro Morii3
1Center for Outcomes Research and Economic Evaluation for Health (C2H), National Institute of Public Health, 2-3-6 Minami, Wako, Saitama, 351-0197, Japan. t.shiroiwa@gmail.com.
这项研究比较了使用日本AP-7D测量方法评估健康状况的四种方法. 三元离散选择实验 (DCE) 模型提供了平衡的结果,有助于开发基于偏好的措施.
科学领域:
- 卫生经济学 卫生经济学
- 心理测量 心理测量 心理测量
- 患者报告的结果
背景情况:
- AP-7D是东亚和东南亚的新的基于优惠的措施 (PBM).
- 目前对于AP-7D没有确定的价值集.
- 对比估值方法对于选择最适合AP-7D的方法至关重要.
研究的目的:
- 用四种不同的估值方法构建和比较AP-7D的价值集.
- 为了评估来自不同方法的价值集的特征和一致性.
- 为未来AP-7D估值调查选择最佳方法提供信息.
主要方法:
- 在日本的一项一般人口调查中,使用了四种估值方法:复合时间权衡 (cTTO),简单离散选择实验 (DCE),持续时间的DCE和三元DCE.
- 数据通过面对面调查 (cTTO) 和在线调查 (DCE) 收集,每个方法的样本大小都很大.
- 统计分析包括cTTO的线性混合和托比特模型,以及DCE的简单和面板条件逻辑模型,在出现不一致的情况下采用受约束模型.
主要成果:
- 大多数分析都需要受约束模型,因为不受约束模型中的不一致性.
- 持续时间的DCE模型产生了最低的最小值 (-0.706),与其他方法有显著差异.
- 虽然在不同的方法中,值集有所不同,但三元 DCE 模型显示了 cTTO 和 DCE 与持续时间之间的中间特征. "负担他人"领域对偏好产生了最显著的影响.
结论:
- 通过使用各种时间权衡和离散选择实验方法,成功构建了四个不同的AP-7D值集.
- 这些发现为AP-7D的持续发展提供了有价值的见解.
- 这项研究还为开发和评估其他新兴基于优惠的措施提供了指导.
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