University Hospital of Psychiatry II, Medical University of Innsbruck, Anichstraße 36, 6020, Innsbruck, Austria.
University Hospital of Psychiatry I, Medical University of Innsbruck, Innsbruck, Austria.
Qual Life Res. 2024 Mar;33(3):831-841. doi: 10.1007/s11136-023-03569-w. Epub 2024 Jan 6.
In this study, we developed Danish utility weights for the European Organisation for Research and Treatment of Cancer (EORTC) QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30.
Following a standardized methodology, 1001 adult participants from the Danish general population were quota-sampled and completed a cross-sectional web-based survey and discrete choice experiment (DCE). In the DCE, participants considered 16 choice sets constructed from the key 10 dimensions of the QLU-C10D and chose their preferred health state for each one. Utility weights were calculated using conditional logistic regression with correction for non-monotonicity.
The sample (n = 1001) was representative of the Danish general population with regard to age and gender. The domains with the largest utility decrements, i.e., the domains with the biggest impact on health utility, were physical functioning (- 0.224), pain (- 0.160), and role functioning (- 0.136). The smallest utility decrements were observed for the domains lack of appetite (- 0.024), sleep disorders (- 0.057), and fatigue (- 0.064). Non-monotonicity of severity levels was observed for the domains sleep disturbances, lack of appetite, and bowel problems. Deviations from monotonicity were not statistically significant.
The EORTC QLU-C10D is a relatively new multi-attribute utility instrument and is a promising cancer-specific health technology assessment candidate measure. The country-specific Danish utility weights from this study can be used for cost-utility analyses in Danish patients and for comparison with other country-specific utility data.
本研究旨在开发丹麦效用权重，用于欧洲癌症研究与治疗组织（EORTC）QLU-C10D，这是一种基于 EORTC QLQ-C30 的癌症专用效用工具。
按照标准化方法，从丹麦普通人群中配额抽样了 1001 名成年参与者，并完成了一项横断面网络调查和离散选择实验（DCE）。在 DCE 中，参与者考虑了 16 个由 QLU-C10D 的 10 个关键维度构建的选择集，并为每个选择集选择了他们偏好的健康状态。使用具有非单调性校正的条件逻辑回归计算效用权重。
样本（n=1001）在年龄和性别方面代表了丹麦普通人群。物理功能（-0.224）、疼痛（-0.160）和角色功能（-0.136）等领域的效用下降最大，即对健康效用影响最大的领域。观察到最小的效用下降是在缺乏食欲（-0.024）、睡眠障碍（-0.057）和疲劳（-0.064）等领域。睡眠障碍、缺乏食欲和肠道问题等领域观察到严重程度水平的非单调性。单调背离不具有统计学意义。
EORTC QLU-C10D 是一种相对较新的多属性效用工具，是一种有前途的癌症特异性卫生技术评估候选衡量标准。本研究中的丹麦特定国家效用权重可用于丹麦患者的成本效用分析，并与其他特定国家效用数据进行比较。
