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估算医疗保健的支付意愿:考虑到不关注成本属性的离散选择实验。

Estimating willingness-to-pay for health care: A discrete choice experiment accounting for non-attendance to the cost attribute.

机构信息

Institute for Tourism, Zagreb, Croatia.

Faculty of Economics, University of Ljubljana, Ljubljana, Slovenia.

出版信息

J Eval Clin Pract. 2019 Oct;25(5):843-849. doi: 10.1111/jep.13095. Epub 2019 Jan 24.

DOI:10.1111/jep.13095
PMID:30677196
Abstract

RATIONALE, AIMS, AND OBJECTIVES: The literature suggests that discrete choice experiments (DCEs) are a preferable method for estimating willingness-to-pay (WTP) values, as they may avoid some biases often observed in contingent valuation surveys, such as protest and strategic behaviour. However, the choice studies have demonstrated that attribute non-attendance may be a serious issue that leads to biased WTP estimates.

METHOD

A DCE was used to estimate patients' WTP for dental care at the dental school clinic. The endogenous attribute attendance (EAA) model was used to estimate WTP for dental care attributes, while accounting for non-attendance to the cost attribute.

RESULTS

The EAA model revealed that almost every second respondent had ignored the cost attribute when making choices, indicating that patients were very sensitive to other characteristics of dental care. Dental care providers should pay particular attention to providing a detailed explanation of treatment to their patients, as this was the most valued attribute of dental care. The welfare estimates from the EAA model, which accounted for non-attendance to the cost attribute, were more than two times lower than welfare estimates from a traditional multinomial logit model and mixed logit model estimated in WTP space.

CONCLUSIONS

The findings raise concerns for derived WTP estimates in DCE studies that did not consider non-attendance to the cost attribute during the estimation process. Non-attendance to the cost attribute overestimates WTP values, even if being motivated by the true preferences of respondents.

摘要

背景、目的和目标:文献表明,离散选择实验(DCE)是估计意愿支付(WTP)值的首选方法,因为它们可能避免了在条件价值评估调查中经常观察到的一些偏差,如抗议和策略行为。然而,选择研究表明,属性不参与可能是一个严重的问题,导致有偏差的 WTP 估计。

方法

使用 DCE 来估计牙科诊所的患者对牙科护理的 WTP。使用内源性属性参与(EAA)模型来估计牙科护理属性的 WTP,同时考虑到对成本属性的不参与。

结果

EAA 模型显示,几乎每两个受访者在做出选择时都忽略了成本属性,这表明患者对牙科护理的其他特征非常敏感。牙科护理提供者应特别注意向患者详细解释治疗情况,因为这是牙科护理最有价值的属性。EAA 模型考虑到对成本属性的不参与,得出的福利估计值比传统多项逻辑模型和混合逻辑模型在 WTP 空间中估计的福利估计值高出两倍多。

结论

这些发现引起了人们对在估计过程中未考虑成本属性不参与的 DCE 研究中得出的 WTP 估计值的关注。即使是基于受访者真实偏好的成本属性不参与,也会高估 WTP 值。

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