Objectives

Quality-adjusted life-years (QALYs) are expected to be used for priority setting of hospital-dispensed medicines in Denmark from 2021. The aim of this study was to develop the first Danish value set for the EQ-5D-5L based on interviews with a representative sample of the Danish adult population.

Methods

A nationally representative sample based on age (> 18 years), gender, education, and geographical region was recruited using data provided by Statistics Denmark. Computer-assisted personal interviews were carried out using the EQ-VT 2.1. Respondents each valued ten health states using composite time trade-off (cTTO) and seven health states using discrete-choice experiment (DCE). Different predictive models were explored using cTTO and DCE data alone or in combination as hybrid models. Model performance was assessed using logical consistency.

Results

A total of 1014 interviews were included in the analyses. The sample was representative of the Danish adult population, though the sample contained slightly more respondents with higher education than in the general population. Only the heteroscedastic censored hybrid model combining cTTO and DCE data yielded consistent results, and hence was chosen for modelling the final Danish value set. The predicted values ranged from − 0.757 to 1, and anxiety/depression was the dimension assigned most value by respondents.

Conclusions

This study established the Danish EQ-5D-5L value set, which represents the preferences of the Danish general population, and is expected to provide key input for healthcare decision-making in a Danish context.

中文翻译：

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丹麦 EQ-5D-5L 值集：使用 cTTO 和 DCE 数据的混合模型

目标

预计从 2021 年起，丹麦将使用质量调整生命年 (QALY) 来确定医院配药的优先级。本研究的目的是根据访谈为 EQ-5D-5L 制定第一个丹麦值集与丹麦成年人口的代表性样本。

方法

使用丹麦统计局提供的数据，根据年龄（> 18 岁）、性别、教育和地理区域招募了具有全国代表性的样本。使用 EQ-VT 2.1 进行计算机辅助个人访谈。受访者每人使用复合时间权衡 (cTTO) 评估十种健康状态，使用离散选择实验 (DCE) 评估七种健康状态。使用单独或组合作为混合模型的 cTTO 和 DCE 数据探索了不同的预测模型。使用逻辑一致性评估模型性能。

结果

共有 1014 次访谈被纳入分析。该样本代表了丹麦成年人口，尽管样本中包含的受过高等教育的受访者略多于一般人群。只有结合 cTTO 和 DCE 数据的异方差删失混合模型产生了一致的结果，因此被选择用于对最终丹麦值集进行建模。预测值的范围从 - 0.757 到 1，而焦虑/抑郁是受访者指定的最有价值的维度。

结论

本研究建立了丹麦 EQ-5D-5L 值集，代表丹麦一般人群的偏好，有望为丹麦语境下的医疗保健决策提供关键输入。