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儿童健康效用 9D 量表评分:中国儿童和青少年特异性量表的制定。

Scoring the Child Health Utility 9D instrument: estimation of a Chinese child and adolescent-specific tariff.

机构信息

Centre for Health Economics, Monash Business School, Monash University, Clayton, Australia.

Nanjing Municipal Center for Disease Control and Prevention, 2 Zizhulin, Nanjing, 210003, China.

出版信息

Qual Life Res. 2019 Jan;28(1):163-176. doi: 10.1007/s11136-018-2032-z. Epub 2018 Oct 29.

Abstract

PURPOSE

To derive children and adolescents' preferences for health states defined by the Chinese version of Child Health Utility 9D (CHU9D-CHN) instrument in China that can be used to estimate quality-adjusted life years (QALYs) for economic evaluation.

METHODS

A profile case best-worst scaling (BWS) and a time trade-off (TTO) method were combined to derive a Chinese-specific tariff for the CHU9D-CHN. The BWS survey recruited students from primary and high schools using a multi-stage random sampling method and was administered in a classroom setting, whilst the TTO survey adopted an interviewer-administrated conventional TTO task and was administered to a convenience sample of undergraduate students. A latent class modelling framework was adopted for analysing the BWS data.

RESULTS

Two independent surveys were conducted in Nanjing, China, including a valid sample of 902 students (mean age 13 years) from the BWS survey and a valid sample of 38 students (mean age 18 years) from the TTO survey. The poolability of the best and the worst responses was rejected and the optimal result based on the best responses only. The optimal model suggests the existence of two latent classes. The BWS estimates were further re-anchored onto the QALY scale using the TTO generated health state values via a mapping approach.

CONCLUSION

This study provides further insights into the use of the BWS method to generate health state values with young people and highlights the potential different decision rules that young people may employ for determining best vs. worst choices in this context.

摘要

目的

在中国推导儿童和青少年对中文版儿童健康效用 9 维度(CHU9D-CHN)量表定义的健康状态的偏好,以便用于经济评估来估计质量调整生命年(QALYs)。

方法

结合轮廓案例最佳最差标度(BWS)和时间权衡(TTO)方法,为 CHU9D-CHN 制定中国特有的关税。BWS 调查采用多阶段随机抽样方法招募来自小学和中学的学生,并在课堂环境中进行管理,而 TTO 调查则采用访谈者管理的传统 TTO 任务,并对大学生进行方便样本进行调查。采用潜在类别建模框架对 BWS 数据进行分析。

结果

在中国南京进行了两项独立的调查,包括 BWS 调查中有效样本 902 名学生(平均年龄 13 岁)和 TTO 调查中有效样本 38 名学生(平均年龄 18 岁)。拒绝了最佳和最差响应的可加性,并仅基于最佳响应选择了最佳结果。最优模型表明存在两个潜在类别。通过映射方法,使用 TTO 生成的健康状态值,进一步将 BWS 估计值重新锚定到 QALY 量表上。

结论

本研究进一步深入了解了使用 BWS 方法为年轻人生成健康状态值的方法,并强调了年轻人在这种情况下确定最佳与最差选择时可能采用的潜在不同决策规则。

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