Luquiens Amandine, Panjo Henri, Bonnaire Céline, Pelletier-Fleury Nathalie
Department of Addictology, CHU Nîmes, Univ. Montpellier, Nîmes, France.
CESP, Univ. Paris-Sud, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France.
Qual Life Res. 2025 Feb;34(2):457-469. doi: 10.1007/s11136-024-03835-5. Epub 2024 Nov 26.
The Gambling Quality of Life Scale -brief (GQoLS-Brief) assesses the impact of gambling disorder (GD) on quality of life (QoL). Preference-based measures are essential for obtaining the quality adjustment weight (i.e. utility score) needed to calculate quality-adjusted life years (QALYs) in economic evaluations. We aimed to derive a value set for the GQoLS-Brief.
We employed a discrete choice experiment for preference elicitation. An online survey was administered (n = 928). Respondents completed 10 choice tasks, each presenting two GQoLS-Brief health states alongside life expectancy. Conditional logit regression, parameterized to fit the QALY framework, was used for data analysis. QALY weights for each health state defined by the GQoLS-Brief were calculated.
The estimated coefficients from the conditional logit models aligned with expectations: utility increased with survival time and decreased with QoL impairment. Utility values for health states ranged from - 1.48 (worse than death) to 1.0. "Financial difficulties" exhibited the highest utility decrement, followed by "Sleep disturbance related to financial difficulties."
This reference set facilitates the calculation of QALYs for economic evaluations of GD interventions. The weight of subjective financial difficulties underscores the need for therapeutic interventions to target this aspect.
赌博生活质量量表简版（GQoLS - 简版）评估赌博障碍（GD）对生活质量（QoL）的影响。基于偏好的测量对于获取经济评估中计算质量调整生命年（QALYs）所需的质量调整权重（即效用分数）至关重要。我们旨在得出GQoLS - 简版的价值集。
我们采用离散选择实验来引出偏好。进行了一项在线调查（n = 928）。受访者完成10项选择任务，每项任务呈现两种GQoLS - 简版健康状态以及预期寿命。使用参数化以符合QALY框架的条件逻辑回归进行数据分析。计算了由GQoLS - 简版定义的每种健康状态的QALY权重。
条件逻辑模型的估计系数符合预期：效用随生存时间增加而增加，随生活质量受损而降低。健康状态的效用值范围从 - 1.48（比死亡更差）到1.0。“经济困难”的效用下降最大，其次是“与经济困难相关的睡眠障碍”。
这个参考集有助于在GD干预措施的经济评估中计算QALYs。主观经济困难的权重凸显了针对这一方面进行治疗干预的必要性。
