School of Health and Related Research, University of Sheffield, Sheffield, England, UK.
Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia.
Value Health. 2023 Jul;26(7):1073-1084. doi: 10.1016/j.jval.2023.02.008. Epub 2023 Feb 18.
The EQ Health and Wellbeing Short (EQ-HWB-S) is a new generic measure that covers health and wellbeing developed for use in economic evaluation in health and social care. The aim was to test the feasibility of using composite time trade-off (cTTO) and a discrete choice experiment (DCE) based on an international protocol to derive utilities for the EQ-HWB-S and to generate a pilot value set.
A representative UK general population was recruited. Online videoconference interviews were undertaken where cTTO and DCE tasks were administered using EuroQol Portable Valuation Technology. Quality control (QC) was used to assess interviewers' performance. Data were modeled using Tobit, probit, and hybrid models. Feasibility was assessed based on the distribution of data, participants, and reports of understanding from the interviewer, QC and modeling results.
cTTO and DCE data were available for 520 participants. Demographic characteristics were broadly representative of the UK general population. Interviewers met QC requirements. cTTO values ranged between -1 to 1 with increasing disutility associated with more severe states. Participants understood the tasks and the EQ-HWB-S states; and the interviewers reported high levels of understanding and engagement. The hybrid Tobit heteroscedastic model was selected for the pilot value set with values ranging from -0.384 to 1. Pain, mobility, daily activities, and sad/depressed had the largest disutilities, followed by loneliness, anxiety, exhaustion, control, and cognition in the selected model.
EQ-HWB-S can be valued using cTTO and DCE. Further methodological work is recommended to develop a valuation protocol specific to the EQ-HWB-S.
EQ 健康与幸福感简短量表（EQ-HWB-S）是一种新的涵盖健康和幸福感的通用衡量标准，专为健康和社会保健中的经济评估而开发。目的是测试使用基于国际协议的复合时间权衡（cTTO）和离散选择实验（DCE）来为 EQ-HWB-S 衍生效用并生成试点值集的可行性。
招募了具有代表性的英国普通人群。通过 EuroQol 便携式估值技术在线视频会议访谈进行 cTTO 和 DCE 任务。使用质量控制（QC）评估访谈者的表现。使用 Tobit、probit 和混合模型对数据进行建模。基于数据、参与者的分布以及访谈者、QC 和建模结果的理解报告来评估可行性。
cTTO 和 DCE 数据可用于 520 名参与者。人口统计学特征广泛代表了英国普通人群。访谈者符合 QC 要求。cTTO 值范围在-1 到 1 之间，与更严重的状态相关的效用损失增加。参与者理解任务和 EQ-HWB-S 状态；访谈者报告了高水平的理解和参与度。选择混合 Tobit 异方差模型作为试点值集，值范围从-0.384 到 1。疼痛、移动性、日常活动和悲伤/抑郁的效用损失最大，其次是孤独、焦虑、疲惫、控制和认知。
可以使用 cTTO 和 DCE 对 EQ-HWB-S 进行估值。建议进一步开展方法学工作，为 EQ-HWB-S 开发特定的估值方案。
