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The goal of this observational study is to validate the EQ-5D-Y-3L and EQ-5D-Y-5L in measuring health-related quality of life (HRQoL) for paediatric patients with different health conditions in China. The main research questions focus on comparing the psychometric performance of EQ-5D-Y-3L and EQ-5D-Y-5L, evaluating the differences between self-complete (SC), interviewer-administered (IA), and proxy-administered (Proxy) versions, and assessing their validity against other HRQoL measures like PedsQL. The study will recruit 360 inpatient-caregiver dyads from three disease groups, i.e., pneumonia, paediatric central nervous system (CNS) solid tumours, and immune thrombocytopenic purpura (ITP), using cross-sectional and longitudinal surveys. Baseline assessments will be conducted at hospital admission, with follow-up at hospital discharge (within 14 days). A qualitative component will explore acceptability and interpretation of EQ-5D-Y. The findings will contribute to the methodological development of EQ-5D-Y, with potential implications for HRQoL measurement and economic evaluations in paediatric healthcare.
Full description
[Research Background] Health-related quality of life (HRQoL) is a key indicator of well-being in paediatric patients, particularly for those with chronic illnesses. The EQ-5D-Y-3L and EQ-5D-Y-5L are widely used HRQoL measurement tools, but their psychometric properties in Chinese paediatric populations remain underexplored. Understanding how these instruments perform across different administration modes (self-complete, interviewer-administered, and proxy) and in comparison to other established HRQoL measures such as Pediatric Quality of Life Inventory (PedsQL) is essential for improving their application in paediatric healthcare. This study aims to evaluate the validity, reliability, and responsiveness of EQ-5D-Y instruments in children with pneumonia, central nervous system (CNS) solid tumours, and immune thrombocytopenic purpura (ITP) in China, contributing to better HRQoL assessment and economic evaluations in paediatric healthcare.
[Study Design] Prospective observational study.
[Primary Objectives] (1) Compare the psychometric performance (validity, reliability, responsiveness) of EQ-5D-Y-3L and EQ-5D-Y-5L in a Chinese paediatric population. (2) Evaluate differences between self-complete (SC), interviewer-administered (IA), and proxy versions of EQ-5D-Y. (3) Assess how EQ-5D-Y compares with PedsQL in measuring paediatric HRQoL.
[Secondary Objectives] (1) Explore caregiver burden and potential spillover effects using EQ-5D-5L and EQ-HWB-S. (2) Examine the influence of children's disease severity, treatment type, and administration mode on children's HRQoL outcomes. (3) Investigate differences in HRQoL measurement properties across three distinct paediatric disease groups.
[Participants] 360 paediatric patient-caregiver dyads, recruited from three hospitals in China. Disease groups include: Pneumonia (n=120), CNS solid tumours (n=120), and Immune thrombocytopenic purpura (ITP) (n=120).
[Methods] (1) Quantitative assessment: All participants will complete EQ-5D-Y-3L or EQ-5D-Y-5L, administered via three administration modes (SC, IA, or Proxy ). PedsQL will be used as a comparator. Baseline survey will be completed on Day 1 at hospital addmission, and follow-up will occur at discharge (≤14 days) to assess test-retext reliability and responsiveness. (2) Qualitative component: Semi-structured interviews (n=25) will explore acceptability, interpretability, and response patterns.
[Inclusion Criteria] (1) Children aged 5-16 years, diagnosed with pneumonia, CNS solid tumours, or ITP. (2) Primary caregivers (parents/legal guardians) of the participating children. (3) Ability to complete study questionnaires in Mandarin Chinese.
[Study Endpoints] (1) Completion of follow-up assessments. (2) Sufficient qualitative and quantitative data to evaluate HRQoL instruments psychometric properties.
[Primary Outcomes] Psychometric evaluation of EQ-5D-Y, including: Test-retest reliability (intraclass correlation coefficients); Construct validity (correlation with PedsQL, and known-groups validity); Responsiveness (effect size and standardized response means); Comparison of administration modes to determine impact on HRQoL scores.
[Secondary Outcomes] Caregiver burden and spillover Effects will be assessed using EQ-5D-5L and EQ-HWB-S to evaluate caregivers' health and well-being. Correlations with children's HRQoL will explore spillover effects.
[Statistical Methods] (1) Reliability: Test-retest reliability via intraclass correlation coefficients (ICC) and Gwet's AC. (2) Validity: Convergent validity using Spearman's correlation with PedsQL. (3) Known-groups validity assessed via ANOVA and t-tests. (4) Responsiveness: Cohen's d effect sizes and Wilcoxon signed-rank tests. (5) Comparison of administration modes: Generalized linear models (GLM) to assess the impact of SC, IA, and proxy versions on HRQoL scores. (6) Thematic analysis will examine factors contributing to ceiling effects, including response interpretation and differentiation challenges, following COREQ guidelines for rigor. (7) Regression model will be used to analyse the correlation between caregiver's HRQoL and children's.
[Dissemination] This study will provide critical insights into the performance of EQ-5D-Y in China, informing its future use in paediatric health research and economic evaluations. Findings will be disseminated through peer-reviewed publications and international conferences.
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Inclusion criteria
Children (Patients)
Age: 5-16 years old.
Diagnosis: Clinically confirmed diagnosis of one of the following conditions:
Pneumonia (hospitalized due to community-acquired pneumonia); Central Nervous System (CNS) Solid Tumours (receiving active treatment or in post-treatment follow-up); Immune Thrombocytopenic Purpura (ITP) (diagnosed with acute or chronic ITP).
Health Status: Cognitively and physically capable of completing HRQoL assessments (for self-complete versions).
Language Proficiency: Able to understand and communicate in Mandarin Chinese.
Consent: Written informed consent obtained from the primary caregiver and verbal or written assent from the child (if age-appropriate).
Caregivers (Parents/Family Caregivers)
Exclusion criteria
Children (Patients)
Severe Cognitive or Developmental Impairment: Diagnosed with intellectual disability, autism spectrum disorder, or any neurological condition that prevents understanding and completing HRQoL assessments.
Severe Physical Disability:
Conditions that make it impossible to respond to surveys (e.g., advanced neuromuscular disease, severe paralysis).
Comorbidities: Presence of another major chronic illness that could significantly affect HRQoL measurement (e.g., severe congenital heart disease, uncontrolled epilepsy).
Recent Participation in Similar Studies:
If the child has participated in another HRQoL validation study within the past 6 months.
Inability to Complete Study Follow-Up: Expected to be transferred to another hospital or relocated during follow-up.
Caregivers (Parents/Family Caregivers)
Not the Primary Caregiver:
Individuals who do not have daily caregiving responsibilities for the child.
Cognitive Impairment or Severe Health Conditions:
Caregivers with severe mental illness, dementia, or a medical condition that affects their ability to complete surveys.
Language Barrier: Unable to understand and complete HRQoL assessments in Mandarin Chinese.
Refusal to Participate: Caregivers who decline to provide informed consent.
360 participants in 4 patient groups
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Central trial contact
Wenjing Zhou, PhD
Data sourced from clinicaltrials.gov
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