PDF(Pubmed)
Abstract：
OBJECTIVE: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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.
摘要：
目的：在本研究中，我们为欧洲癌症研究和治疗组织（EORTC）QLU-C10D开发了丹麦效用权重，一种基于EORTCQLQ-C30的癌症特异性实用仪器。
方法：遵循标准化的方法，对来自丹麦普通人群的1001名成年参与者进行了配额抽样，并完成了基于网络的横断面调查和离散选择实验（DCE）。在DCE中,参与者考虑了由QLU-C10D的10个关键维度构建的16个选择集,并为每个选择了他们喜欢的健康状态.使用条件逻辑回归计算效用权重，并校正非单调性。
结果：样本（n=1001）在年龄和性别方面代表丹麦普通人群。具有最大效用递减的域，即，对卫生效用影响最大的领域，是身体功能(-0.224)，疼痛（-0.160），和角色功能（-0.136）。对于缺乏食欲的领域，观察到最小的效用递减(-0.024)，睡眠障碍（-0.057），和疲劳（-0.064）。对于领域睡眠障碍，观察到严重程度的非单调性，缺乏食欲,还有肠道问题.与单调性的偏差没有统计学意义。
结论：EORTCQLU-C10D是一种相对较新的多属性实用工具，是一种有前途的癌症特异性健康技术评估候选措施。本研究中特定国家的丹麦效用权重可用于丹麦患者的成本效用分析，并与其他特定国家的效用数据进行比较。
方法：遵循标准化的方法，对来自丹麦普通人群的1001名成年参与者进行了配额抽样，并完成了基于网络的横断面调查和离散选择实验（DCE）。在DCE中,参与者考虑了由QLU-C10D的10个关键维度构建的16个选择集,并为每个选择了他们喜欢的健康状态.使用条件逻辑回归计算效用权重，并校正非单调性。
结果：样本（n=1001）在年龄和性别方面代表丹麦普通人群。具有最大效用递减的域，即，对卫生效用影响最大的领域，是身体功能(-0.224)，疼痛（-0.160），和角色功能（-0.136）。对于缺乏食欲的领域，观察到最小的效用递减(-0.024)，睡眠障碍（-0.057），和疲劳（-0.064）。对于领域睡眠障碍，观察到严重程度的非单调性，缺乏食欲,还有肠道问题.与单调性的偏差没有统计学意义。
结论：EORTCQLU-C10D是一种相对较新的多属性实用工具，是一种有前途的癌症特异性健康技术评估候选措施。本研究中特定国家的丹麦效用权重可用于丹麦患者的成本效用分析，并与其他特定国家的效用数据进行比较。
