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支付量表设计对健康收益支付意愿的影响。

The impact of the design of payment scales on the willingness to pay for health gains.

作者信息

Soeteman Lotte, van Exel Job, Bobinac Ana

机构信息

Institute of Health Policy and Management, Erasmus University Rotterdam, iBMG, PO Box 1738, 3000 DR, Rotterdam, The Netherlands.

Erasmus School of Economics, Erasmus University Rotterdam, Rotterdam, The Netherlands.

出版信息

Eur J Health Econ. 2017 Jul;18(6):743-760. doi: 10.1007/s10198-016-0825-y. Epub 2016 Sep 13.

DOI:10.1007/s10198-016-0825-y
PMID:27623946
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5486460/
Abstract

The questionnaire format applied in a CV study represents the way in which the WTP estimates are obtained. Payment scales are often used in CV studies as the questionnaire format of choice. The study summarized here analyzes the impact of the design of two payment scales (PS) on the monetary value of QALY gains. The scales differed in terms of their end-points, mid points, and coarseness. We judged the performance of the two PS against several indicators: the average WTP per QALY estimates, post-estimation uncertainty levels, the existence of mid-point concentration, and the dependency on end-points. Our results show that PS design influences respondents' WTP values. The results also suggest that a more detailed scale with a more realistic range may help respondents to elicit values closer to their "true" WTP values, hence produce higher-quality outcomes. Further research and pretesting strategies are suggested to explore and minimize the effects of PS design on WTP estimates, which may ultimately increase the quality of WTP estimates.

摘要

条件价值评估(CV)研究中采用的问卷形式代表了获取支付意愿(WTP)估计值的方式。支付量表在条件价值评估研究中经常被用作首选的问卷形式。此处总结的研究分析了两种支付量表(PS)的设计对质量调整生命年(QALY)增益货币价值的影响。这两种量表在端点、中点和粗细程度方面存在差异。我们根据几个指标来评判这两种支付量表的表现:每QALY估计值的平均支付意愿、估计后的不确定性水平、中点集中情况的存在以及对端点的依赖性。我们的结果表明,支付量表设计会影响受访者的支付意愿值。结果还表明,范围更现实且更详细的量表可能有助于受访者得出更接近其“真实”支付意愿值的值,从而产生更高质量的结果。建议开展进一步研究和预测试策略,以探究并尽量减少支付量表设计对支付意愿估计值的影响,这最终可能会提高支付意愿估计值的质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/324c/5486460/1f86b4e96c47/10198_2016_825_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/324c/5486460/112db3a06df6/10198_2016_825_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/324c/5486460/0ca117f774c4/10198_2016_825_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/324c/5486460/b86030547a97/10198_2016_825_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/324c/5486460/1f86b4e96c47/10198_2016_825_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/324c/5486460/112db3a06df6/10198_2016_825_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/324c/5486460/0ca117f774c4/10198_2016_825_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/324c/5486460/b86030547a97/10198_2016_825_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/324c/5486460/1f86b4e96c47/10198_2016_825_Fig4_HTML.jpg

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