Developing an Australian Value Set for the Recovering Quality of Life-Utility Index (ReQoL-UI) instrument using Discrete Choice Experiment with Duration.

IF 4.9 2区 医学 Q1 ECONOMICS
Thao Thai, Lidia Engel, Jemimah Ride, Brendan Mulhern, Richard Norman, Cathrine Mihalopoulos
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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 over 16 years of age with mental health problems. We aim to elicit societal preferences for the ReQoL-UI health states to facilitate better decision-making in Australia.

Methods: A discrete choice experiment (DCE) with duration was embedded in a self-complete online survey and administered to a representative sample (n=1019) of the Australian adult population aged 18 years and more, stratified for age, sex and geographic location. A partial subset design DCE was used with 3 fixed attributes and 5 varying attributes containing 240 choice tasks that were blocked into 20 blocks, so that each respondent was assigned a block of 12 choice tasks. The value set was modelled using the conditional logit model with utility decrements directly anchored on the 0 to 1 dead-full health scale. Preference heterogeneity was tested using the 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 while the least important attribute was self-perception. Sensitivity analysis and analysis of preference heterogeneity show the stability of the value set.

Conclusion: 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 interventions cost-utility analyses.

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
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.
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