Joseph Kwon, Rakhee Raghunandan, Son Hong Nghiem, Kirsten Howard, Emily Lancsar, Elisabeth Huynh, Martin Howell, Stavros Petrou, Sarah Smith
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This study aimed to develop a reduced item version of PedsQL GCS amenable to health utility derivation in Australia.</p><p><strong>Methods: </strong>Data sources were 2 cohorts of the Longitudinal Study of Australian Children, including proxy responses for all PedsQL GCS versions (Toddlers, Young Children, Children, and Teens), and the CheckPoint sample containing child self-report to the Children version. Three analytic samples were CheckPoint sample (n = 1874); Mallinson sample containing 1 measurement per child from one of the Young Children, Children, or Teens versions (n = 7855); and Toddlers sample (n = 7401). Exploratory and confirmatory factor analyses assessed dimensionality. Psychometric analyses used Rasch and classical criteria on 3 randomly selected subsamples (n = 500) per sample. Item selection prioritized psychometric performance in the CheckPoint sample, also considering performance in other samples and conceptual content.</p><p><strong>Results: </strong>Dimensionality assessments did not generate an alternative empirical structure for the measure, and psychometric analyses were conducted on the original 4 subscales. The selected items were: \"Get aches and pains\" for physical functioning; \"Feel sad/blue\" for emotional functioning; \"Other kids not friends\" for social functioning; and \"Keeping up with school work\" for school functioning.</p><p><strong>Conclusions: </strong>The final 4-item set, pending further psychometric validation and valuation, can generate health utilities from the widely used PedsQL GCS to inform cost-effectiveness-based decision making.</p>","PeriodicalId":23508,"journal":{"name":"Value in Health","volume":" ","pages":""},"PeriodicalIF":4.9000,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of a Health-State Classification System for the Pediatric Quality-of-Life Inventory Version 4.0 Generic Core Scales for Preference-Based Valuation in Australia.\",\"authors\":\"Joseph Kwon, Rakhee Raghunandan, Son Hong Nghiem, Kirsten Howard, Emily Lancsar, Elisabeth Huynh, Martin Howell, Stavros Petrou, Sarah Smith\",\"doi\":\"10.1016/j.jval.2024.08.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Pediatric Quality-of-Life Inventory Version 4.0 Generic Core Scales (PedsQL GCS), comprising 23 items covering 4 subscales (physical, emotional, social, and school functioning), is a widely applied generic measure of childhood health-related quality of life but does not provide health utilities for cost-effectiveness-based decision making. 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引用次数: 0
摘要
目的:儿科生活质量量表(Pediatric Quality of Life InventoryTM Version 4.0 Generic Core Scales,简称 PedsQL GCS)由 23 个项目组成,涵盖四个分量表(身体、情绪、社交和学校功能),是一种广泛应用的儿童健康相关生活质量通用测量方法,但不能为基于成本效益的决策提供健康效用。本研究旨在开发一个可用于澳大利亚健康效用推导的 PedsQL GCS 简化项目版本:数据来源于《澳大利亚儿童纵向研究》的两个队列,包括所有 PedsQL GCS 版本(幼儿、幼儿、儿童、青少年)的代理回复,以及包含儿童版本自我报告的 CheckPoint 样本。三个分析样本分别是CheckPoint 样本(n=1,874)、Mallinson 样本(n=7,855)和幼儿样本(n=7,401)。探索性和确认性因素分析对维度进行了评估。心理测量分析对每个样本随机抽取的三个子样本(样本数=500)采用了 Rasch 和经典标准。项目选择优先考虑在 CheckPoint 样本中的心理测量表现,同时也考虑在其他样本中的表现和概念内容:维度评估没有为测量结果生成其他经验结构,因此对原有的四个子量表进行了心理测量分析。选定的项目有身体机能:"疼痛";情绪机能:"悲伤/忧郁";社会功能:"其他孩子不是朋友";学校功能:"跟上学校功课":最终的四项目集(有待进一步的心理计量验证和评估)可以从广泛使用的儿童生活质量量表 GCS 中生成健康效用,为基于成本效益的决策提供依据。
Development of a Health-State Classification System for the Pediatric Quality-of-Life Inventory Version 4.0 Generic Core Scales for Preference-Based Valuation in Australia.
Objectives: Pediatric Quality-of-Life Inventory Version 4.0 Generic Core Scales (PedsQL GCS), comprising 23 items covering 4 subscales (physical, emotional, social, and school functioning), is a widely applied generic measure of childhood health-related quality of life but does not provide health utilities for cost-effectiveness-based decision making. This study aimed to develop a reduced item version of PedsQL GCS amenable to health utility derivation in Australia.
Methods: Data sources were 2 cohorts of the Longitudinal Study of Australian Children, including proxy responses for all PedsQL GCS versions (Toddlers, Young Children, Children, and Teens), and the CheckPoint sample containing child self-report to the Children version. Three analytic samples were CheckPoint sample (n = 1874); Mallinson sample containing 1 measurement per child from one of the Young Children, Children, or Teens versions (n = 7855); and Toddlers sample (n = 7401). Exploratory and confirmatory factor analyses assessed dimensionality. Psychometric analyses used Rasch and classical criteria on 3 randomly selected subsamples (n = 500) per sample. Item selection prioritized psychometric performance in the CheckPoint sample, also considering performance in other samples and conceptual content.
Results: Dimensionality assessments did not generate an alternative empirical structure for the measure, and psychometric analyses were conducted on the original 4 subscales. The selected items were: "Get aches and pains" for physical functioning; "Feel sad/blue" for emotional functioning; "Other kids not friends" for social functioning; and "Keeping up with school work" for school functioning.
Conclusions: The final 4-item set, pending further psychometric validation and valuation, can generate health utilities from the widely used PedsQL GCS to inform cost-effectiveness-based decision making.
期刊介绍:
Value in Health contains original research articles for pharmacoeconomics, health economics, and outcomes research (clinical, economic, and patient-reported outcomes/preference-based research), as well as conceptual and health policy articles that provide valuable information for health care decision-makers as well as the research community. As the official journal of ISPOR, Value in Health provides a forum for researchers, as well as health care decision-makers to translate outcomes research into health care decisions.