Abstract：
OBJECTIVE: The EORTC QLU-C10D is a new preference-based measure derived from the EORTC QLQ-C30. Country-specific value sets are required to support the cost-utility analysis of cancer-related interventions. This study aimed to generate an EORTC QLU-C10 value set for Hong Kong (HK).
METHODS: A HK online panel was quota-sampled to achieve an adult general population sample representative by sex and age. Participants were invited to complete an online discrete choice experiment survey. Each participant was asked to complete 16 choice-pairs, randomly assigned from a total of 960 choice-pairs, each comprising two QLU-C10D health states and a duration attribute. Conditional and mixed logistic regression analyses were used to analyse the data.
RESULTS: The analysis included data from 1041 respondents who had successfully completed the online survey. The distribution of sex did not differ from that of the general population, but a significant difference was found among age groups. A weighting analysis for non-representative variable (age) was used. Utility decrements were generally monotonic, with the largest decrements for physical functioning (- 0.308), role functioning (- 0.165), and pain (- 0.161). The mean QLU-C10D utility score of the participants was 0.804 (median = 0.838, worst to best = - 0.169 to 1). The value of the worst health state was - 0.223, which was sufficiently lower than 0 (being dead).
CONCLUSIONS: This study established HK utility weights for the QLU-C10D, which can facilitate cost-utility analyses across cancer-related health programmes and technologies.
METHODS: A HK online panel was quota-sampled to achieve an adult general population sample representative by sex and age. Participants were invited to complete an online discrete choice experiment survey. Each participant was asked to complete 16 choice-pairs, randomly assigned from a total of 960 choice-pairs, each comprising two QLU-C10D health states and a duration attribute. Conditional and mixed logistic regression analyses were used to analyse the data.
RESULTS: The analysis included data from 1041 respondents who had successfully completed the online survey. The distribution of sex did not differ from that of the general population, but a significant difference was found among age groups. A weighting analysis for non-representative variable (age) was used. Utility decrements were generally monotonic, with the largest decrements for physical functioning (- 0.308), role functioning (- 0.165), and pain (- 0.161). The mean QLU-C10D utility score of the participants was 0.804 (median = 0.838, worst to best = - 0.169 to 1). The value of the worst health state was - 0.223, which was sufficiently lower than 0 (being dead).
CONCLUSIONS: This study established HK utility weights for the QLU-C10D, which can facilitate cost-utility analyses across cancer-related health programmes and technologies.
摘要：
目的：EORTCQLU-C10D是从EORTCQLQ-C30衍生的一种新的基于偏好的测量。需要特定国家的价值集来支持癌症相关干预措施的成本效用分析。本研究旨在为香港(香港)生成EORTCQLU-C10值集。
方法：对香港在线小组进行配额抽样，以实现按性别和年龄代表的成年普通人群样本。参与者被邀请完成一项在线离散选择实验调查。每个参与者被要求完成16个选择对，从总共960个选择对中随机分配，每个包括两个QLU-C10D健康状态和一个持续时间属性。使用条件和混合逻辑回归分析来分析数据。
结果：分析包括1041名成功完成在线调查的受访者的数据。性别分布与一般人群没有差异，但年龄组之间存在显着差异。使用非代表性变量(年龄)的加权分析。效用递减通常是单调的，物理功能递减最大(-0.308)，角色功能(-0.165)，和疼痛（-0.161）。参与者的平均QLU-C10D效用评分为0.804（中位数=0.838，最差到最好=-0.169至1）。最差健康状况的值为-0.223,其充分低于0(死亡)。
结论：本研究确定了QLU-C10D的香港效用权重，这可以促进癌症相关健康计划和技术的成本效用分析。
方法：对香港在线小组进行配额抽样，以实现按性别和年龄代表的成年普通人群样本。参与者被邀请完成一项在线离散选择实验调查。每个参与者被要求完成16个选择对，从总共960个选择对中随机分配，每个包括两个QLU-C10D健康状态和一个持续时间属性。使用条件和混合逻辑回归分析来分析数据。
结果：分析包括1041名成功完成在线调查的受访者的数据。性别分布与一般人群没有差异，但年龄组之间存在显着差异。使用非代表性变量(年龄)的加权分析。效用递减通常是单调的，物理功能递减最大(-0.308)，角色功能(-0.165)，和疼痛（-0.161）。参与者的平均QLU-C10D效用评分为0.804（中位数=0.838，最差到最好=-0.169至1）。最差健康状况的值为-0.223,其充分低于0(死亡)。
结论：本研究确定了QLU-C10D的香港效用权重，这可以促进癌症相关健康计划和技术的成本效用分析。
