Developing an Australian Value Set for the Recovering Quality of Life-Utility Index Instrument Using Discrete Choice Experiment With Duration

IF 4.9 2区医学 Q1 ECONOMICS Value in Health Pub Date : 2025-01-17 DOI:10.1016/j.jval.2024.12.008

Thao Thai PhD , Lidia Engel PhD , Jemimah Ride PhD , Brendan Mulhern PhD , Richard Norman PhD , Cathrine Mihalopoulos PhD

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Abstract

Objectives

The Recovering Quality of Life-Utility Index (ReQoL-UI) instrument was designed to measure the quality-of-life outcomes for people older than 16 years with mental health problems. We aimed to elicit societal preferences for the ReQoL-UI health states to facilitate better decision making in Australia.

Methods

A discrete choice experiment with duration was embedded in a self-completed online survey and administered to a representative sample (n = 1019) of the Australian adult population aged 18 years and older stratified by age, sex, and geographic location. A partial subset design discrete choice experiment was used with 3 fixed attributes and 5 varying attributes, containing 240 choice tasks that were divided into 20 blocks so that each respondent was assigned a block of 12 choice tasks. The value set was modeled using the conditional logit model with utility decrements directly anchored on the 0 to 1 dead-full health scale. Preference heterogeneity was tested using a mixed logit model.

Results

The final value set reflects the monotonic nature of the ReQoL-UI descriptive systems where the best health state defined by the descriptive system has a value of 1 and the worst state has a value of −0.585. The most important dimension was physical health problems, whereas the least important attribute was self-perception. Sensitivity and preference heterogeneity analyses revealed the stability of the value set.

Conclusions

The value set, which reflects the preferences of the Australian population, facilitates the calculation of an index for quality-adjusted life-years in mental health intervention cost-utility analyses.

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使用持续时间的离散选择实验为恢复生活质量-效用指数（ReQoL-UI）工具开发澳大利亚值集。

目的：设计康复生活质量-效用指数（ReQoL-UI）测量16岁以上有心理健康问题人群的生活质量结果。我们的目标是引出社会对ReQoL-UI健康状态的偏好，以促进澳大利亚更好的决策。方法：将离散选择实验（DCE）嵌入一份自我完成的在线调查中，并对具有代表性的样本（n=1019）进行管理，这些样本年龄在18岁及以上，按年龄、性别和地理位置分层。采用部分子集设计DCE，其中包含3个固定属性和5个变化属性，包含240个选择任务，这些选择任务被划分为20个块，因此每个被调查者被分配到12个选择任务的块。该值集是使用条件logit模型建模的，其效用递减直接锚定在0到1的完全死亡生命值范围内。采用混合logit模型检验偏好异质性。结果：最终值集反映了ReQoL-UI描述系统的单调性，其中描述系统定义的最佳健康状态值为1，最差状态值为-0.585。最重要的维度是身体健康问题，而最不重要的属性是自我认知。敏感性分析和偏好异质性分析显示了该值集的稳定性。结论：该数值集反映了澳大利亚人口的偏好，便于在心理健康干预成本-效用分析中计算质量调整生命年指数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Value in Health 医学-卫生保健

CiteScore

6.90

自引率

6.70%

发文量

3064

审稿时长

3-8 weeks

期刊介绍： Value in Health contains original research articles for pharmacoeconomics, health economics, and outcomes research (clinical, economic, and patient-reported outcomes/preference-based research), as well as conceptual and health policy articles that provide valuable information for health care decision-makers as well as the research community. As the official journal of ISPOR, Value in Health provides a forum for researchers, as well as health care decision-makers to translate outcomes research into health care decisions.