BACKGROUND The Paediatric Quality of Life InventoryTM 4.0 Generic Core Scales (PedsQL) is a non-preference based instrument for assessing health related quality of life (HRQoL) in children. Recent papers presented algorithms of parental proxy and short-form versions of the PedsQL onto the validated preference-based Child Health Utility 9D (CHU9D) instrument, to enable conversion of PedsQL scores to quality adjusted life years for use in economic evaluation. However, further research was needed to both validate these algorithms, and assess if use of the full 23-item PedsQL self-report instrument is preferable to other PedsQL versions for mapping onto child self-report CHU9D utilities. OBJECTIVE To develop a mapping algorithm for converting the 23-item PedsQL instrument onto the CHU9D instrument and provide an external validation of two recently published algorithms that might be considered alternatives. METHODS Data from children in the Longitudinal Study of Australian Children (LSAC) were used (N = 1801). Six econometric methods were compared to identify the best algorithms, assessed against a series of goodness-of-fit criteria. The same data and goodness-of-fit criteria were used in the external validation exercise for previously published mapping algorithms. RESULTS The optimal mapping algorithm was identified, which used PedsQL dimension scores to predict the CHU9D utilities. It performed well against standard goodness-of-fit tests. The external validation exercise revealed the recently published alternative algorithms also performed relatively well. CONCLUSION The identified mapping algorithms can be used to facilitate cost-utility analysis in comparable populations when only the PedsQL instrument is available. Results from this population indicate the algorithms identified in this paper are well suited for estimating CHU9D self-report utilities when the full 23-item self-report PedsQL instrument has been used.

中文翻译：

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将PedsQLTM分数映射到CHU9D实用分数：估算，确认和比较其他仪器版本。

背景儿科生活质量量表4.0通用核心量表（PedsQL）是用于评估儿童健康相关生活质量（HRQoL）的非偏好工具。最近的论文在经过验证的基于偏好的儿童健康实用程序9D（CHU9D）仪器上介绍了PedsQL的父母代理和简短版本的算法，以将PedsQL分数转换为质量调整的生命年，以用于经济评估。但是，需要进一步的研究以验证这些算法，并评估使用完整的23个项目的PedsQL自报告工具是否比其他PedsQL版本更适合映射到儿童自报告CHU9D实用程序。目的开发一种将23个项目的PedsQL仪器转换为CHU9D仪器的映射算法，并提供对两个最近发布的算法（可能被视为替代方法）的外部验证。方法使用澳大利亚儿童纵向研究（LSAC）中儿童的数据（N = 1801）。比较了六种计量经济学方法，以确定最佳算法，并根据一系列拟合优度标准进行了评估。对于先前发布的映射算法，在外部验证练习中使用了相同的数据和拟合优度标准。结果确定了最佳映射算法，该算法使用PedsQL维度得分来预测CHU9D实用程序。与标准拟合优度测试相比，它的表现不错。外部验证工作表明，最近发布的替代算法也表现相对良好。结论当只有PedsQL仪器可用时，已识别的映射算法可用于在可比较人群中促进成本效用分析。该人群的结果表明，当使用了完整的23个项目的自报告PedsQL仪器时，本文确定的算法非常适合估计CHU9D自报告实用程序。