Psychometric Performance of HRQoL Measures: An Australian Paediatric Multi-Instrument Comparison Study Protocol (P-MIC)

Jones, Renee; Mulhern, Brendan; McGregor, Kristy; Yip, Shilana; O’Loughlin, Rachel; Devlin, Nancy; Dalziel, Kim

doi:10.3390/children8080714

Cited by 16 publications

(41 citation statements)

References 50 publications

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“…EQ-5D-Y-3L is appropriate for 4–15 years old, and CHU9D is appropriate for 4–17 years old [ 5 ]. There are some studies underway trialing proxy version of CHU9D and EQ-5D-Y (both 3 level (3L) and 5L versions) with guidance notes for children 4 years old or younger [ 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

How do common conditions impact health-related quality of life for children? Providing guidance for validating pediatric preference-based measures

Xiong

Dalziel

Huang

et al. 2023

Health Qual Life Outcomes

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Background There is increasing interest in the validation of pediatric preference-based health-related quality of life measurement instruments. It is critical that children with various degrees of health-related quality of life (HRQoL) impact are included in validation studies. To inform patient sample selection for validation studies from a pragmatic perspective, this study explored HRQoL impairments between known-groups and HRQoL changes over time across 27 common chronic child health conditions and identified conditions with the largest impact on HRQoL. Methods The health dimensions of two common preference-based HRQoL measures, the EQ-5D-Y and CHU9D, were constructed using Pediatric Quality of Life Inventory items that overlap conceptually. Data was from the Longitudinal Study of Australian Children, a nationally representative sample with over 10,000 children at baseline. Seven waves of data were included for the analysis, with child age ranging from 2 to18 years. Impacts to specific health dimensions and overall HRQoL between those having a specific condition versus not were compared using linear mixed effects models. HRQoL changes over time were obtained by calculating the HRQoL differences between two consecutive time points, grouped by “Improved” and “Worsened” health status. Comparison among various health conditions and different age groups (2–4 years, 5–12 years and 13–18 years) were made. Results Conditions with the largest statistically significant total HRQoL impairments of having a specific condition compared with not having the condition were recurrent chest pain, autism, epilepsy, anxiety/depression, irritable bowel, recurrent back pain, recurrent abdominal pain, and attention deficit hyperactivity disorder (ADHD) for the total sample (2–18 years). Conditions with largest HRQoL improvement over time were anxiety/depression, ADHD, autism, bone/joint/muscle problem, recurrent abdominal pain, recurrent pain in other part, frequent headache, diarrhea and day-wetting. The dimensions included in EQ-5D-Y and CHU9D can generally reflect HRQoL differences and changes. The HRQoL impacts to specific health dimensions differed by condition in the expected direction. The conditions with largest HRQoL impacts differed by age group. Conclusions The conditions with largest HRQoL impact were identified. This information is likely to be valuable for recruiting patient samples when validating pediatric preference-based HRQoL instruments pragmatically.

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Section: Introductionmentioning

confidence: 99%

How do common conditions impact health-related quality of life for children? Providing guidance for validating pediatric preference-based measures

Xiong

Dalziel

Huang

et al. 2023

Health Qual Life Outcomes

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“…For health technology assessment guidelines internationally, there are a wide range of recommendations about which PROMs to use in economic evaluations of paediatric interventions [ 16 , 17 ]. In part, the lack of consensus about which PROMs are preferred is due to the lack of good comparative psychometric evidence on the performance of the available instruments across disease areas and paediatric populations, and this is an area of ongoing research [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

Preference Elicitation Techniques Used in Valuing Children’s Health-Related Quality-of-Life: A Systematic Review

Bailey

Howell²,

Raghunandan³

et al. 2022

PharmacoEconomics

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Background and Objectives Valuing children’s health states for use in economic evaluations is globally relevant and is of particular relevance in jurisdictions where a cost-utility analysis is the preferred form of analysis for decision making. Despite this, the challenges with valuing child health mean that there are many remaining questions for debate about the approach to elicitation of values. The aim of this paper was to identify and describe the methods used to value children’s health states and the specific issues that arise in the use of these methods. Methods We conducted a systematic search of electronic databases to identify studies published in English since 1990 that used preference elicitation methods to value child and adolescent (under 18 years of age) health states. Eligibility criteria comprised valuation studies concerning both child-specific patient-reported outcome measures and child health states defined in other ways, and methodological studies of valuation approaches that may or may not have yielded a value set algorithm. Results A total of 77 eligible studies were identified from which data on country setting, aims, condition (general population or clinically specific), sample size, age of respondents, the perspective that participants were asked to adopt, source of values (respondents who completed the preference elicitation tasks) and methods questions asked were extracted. Extracted data were classified and evaluated using narrative synthesis methods. The studies were classified into three groups: (1) studies comparing elicitation methods ( n = 30); (2) studies comparing perspectives ( n = 23); and (3) studies where no comparisons were presented ( n = 26); selected studies could fall into more than one group. Overall, the studies varied considerably both in methods used and in reporting. The preference elicitation tasks included time trade-off, standard gamble, visual analogue scaling, rating/ranking, discrete choice experiments, best-worst scaling and willingness to pay elicited through a contingent valuation. Perspectives included adults’ considering the health states from their own perspective, adults taking the perspective of a child (own, other, hypothetical) and a child/adolescent taking their own or the perspective of another child. There was some evidence that children gave lower values for comparable health states than did adults that adopted their own perspective or adult/parents that adopted the perspective of children. Conclusions Differences in reporting limited the conclusions that can be formed about which methods are most suitable for eliciting preferences for children’s health and the influence of differing perspectives and values. Difficulties encountered in drawing conclusions from the data (such as lack of consensus and poor reporting making it difficult for users to choose and inter...

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“…Therefore, it is important that the measurement properties of new or modified health-related quality of life instruments are rigorously tested, in different populations of children before the instruments are widely used. 12 This article presents a head-to-head comparison of the performance of the English Y-3L and Y-5L in a large sample of South African children/ adolescents aged 8 to 15 years. This study aimed to investigate the feasibility, redistribution, and discriminatory power of dimension responses, convergent validity, known-group validity, and the test-retest reliability of the Y-3L and the Y-5L.…”

Section: Introductionmentioning

confidence: 99%

Comparing Measurement Properties of the English EQ-5D-Y 3-Level Version With the 5-Level Version in South Africa

Verstraete

Amien

Scott

2022

Value in Health Regional Issues

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Psychometric Performance of HRQoL Measures: An Australian Paediatric Multi-Instrument Comparison Study Protocol (P-MIC)

Cited by 16 publications

References 50 publications

How do common conditions impact health-related quality of life for children? Providing guidance for validating pediatric preference-based measures

How do common conditions impact health-related quality of life for children? Providing guidance for validating pediatric preference-based measures

Preference Elicitation Techniques Used in Valuing Children’s Health-Related Quality-of-Life: A Systematic Review

Comparing Measurement Properties of the English EQ-5D-Y 3-Level Version With the 5-Level Version in South Africa

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