MDOI Convergence Chronicles 110.0499/CON.2026.00473
110.0499/CON.2026.00473
Article

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

Joseph Kwon, PhD, Rakhee Raghunandan, PhD, Son Hong Nghiem, PhD, Kirsten Howard, PhD, Emily Lancsar, PhD, Elisabeth Huynh, PhD, Martin Howell, PhD, Stavros Petrou, PhD, Sarah Smith, PhD 2025 Convergence Chronicles

Abstract

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.

Identifier Metadata

Identifier 110.0499/CON.2026.00473
Canonical mdoi:110.0499/CON.2026.00473
Resolver URL https://mdoi.org/110.0499/CON.2026.00473
Resource URL Open resource
Document URL Open document
Content Type Article
Authors Joseph Kwon, PhD, Rakhee Raghunandan, PhD, Son Hong Nghiem, PhD, Kirsten Howard, PhD, Emily Lancsar, PhD, Elisabeth Huynh, PhD, Martin Howell, PhD, Stavros Petrou, PhD, Sarah Smith, PhD
Year 2025
Depositor Convergence Chronicles Organisation
Prefix 110.0499
Registered July 8, 2026
Updated July 8, 2026
Status Active
Visibility Public

Cite This Identifier

APA 7th Edition

Click to copy

MLA 9th Edition

Click to copy

Chicago 17th Edition

Click to copy

BibTeX

Click to copy

Persistent Identifier

mdoi:110.0499/CON.2026.00473

Click to copy

About MDOI

MDOI identifiers are permanent and unique identifiers assigned to digital objects to ensure long-term access, tracking, and referencing.

  • MDOI provides a permanent identity for digital objects.
  • Each MDOI is unique and points to one specific resource.
  • The prefix, such as 110.XXXX, identifies the registrant.
  • The suffix identifies the exact digital object.
  • MDOI remains stable even when a website URL changes.
  • It helps prevent broken links in digital publishing.
  • It makes academic and digital resources easier to find and cite.
  • MDOI supports proper tracking and management of digital content.
  • It improves the credibility and visibility of published resources.
  • MDOI ensures digital objects remain accessible, traceable, and reliable over time.
CO
Registered by Convergence Chronicles