How do common conditions impact health-related quality of life for children? Providing guidance for validating pediatric preference-based measures.
- Publisher:
- Springer Nature
- Publication Type:
- Journal Article
- Citation:
- Health Qual Life Outcomes, 2023, 21, (1), pp. 8
- Issue Date:
- 2023-01-25
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Field | Value | Language |
---|---|---|
dc.contributor.author | Xiong, X | |
dc.contributor.author | Dalziel, K | |
dc.contributor.author | Huang, L | |
dc.contributor.author |
Mulhern, B https://orcid.org/0000-0003-3656-8063 |
|
dc.contributor.author | Carvalho, N | |
dc.date.accessioned | 2023-10-05T02:38:17Z | |
dc.date.available | 2023-01-13 | |
dc.date.available | 2023-10-05T02:38:17Z | |
dc.date.issued | 2023-01-25 | |
dc.identifier.citation | Health Qual Life Outcomes, 2023, 21, (1), pp. 8 | |
dc.identifier.issn | 1477-7525 | |
dc.identifier.issn | 1477-7525 | |
dc.identifier.uri | http://hdl.handle.net/10453/172511 | |
dc.description.abstract | 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. | |
dc.format | Electronic | |
dc.language | eng | |
dc.publisher | Springer Nature | |
dc.relation.ispartof | Health Qual Life Outcomes | |
dc.relation.isbasedon | 10.1186/s12955-023-02091-4 | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.rights | © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data | |
dc.subject | 1117 Public Health and Health Services | |
dc.subject.classification | Health Policy & Services | |
dc.subject.classification | 4203 Health services and systems | |
dc.subject.classification | 4206 Public health | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Child | |
dc.subject.mesh | Adolescent | |
dc.subject.mesh | Child, Preschool | |
dc.subject.mesh | Quality of Life | |
dc.subject.mesh | Longitudinal Studies | |
dc.subject.mesh | Surveys and Questionnaires | |
dc.subject.mesh | Australia | |
dc.subject.mesh | Health Status | |
dc.subject.mesh | Chronic Disease | |
dc.subject.mesh | Chronic Pain | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Chronic Disease | |
dc.subject.mesh | Longitudinal Studies | |
dc.subject.mesh | Health Status | |
dc.subject.mesh | Quality of Life | |
dc.subject.mesh | Adolescent | |
dc.subject.mesh | Child | |
dc.subject.mesh | Child, Preschool | |
dc.subject.mesh | Australia | |
dc.subject.mesh | Chronic Pain | |
dc.subject.mesh | Surveys and Questionnaires | |
dc.subject.mesh | Humans | |
dc.subject.mesh | Child | |
dc.subject.mesh | Adolescent | |
dc.subject.mesh | Child, Preschool | |
dc.subject.mesh | Quality of Life | |
dc.subject.mesh | Longitudinal Studies | |
dc.subject.mesh | Surveys and Questionnaires | |
dc.subject.mesh | Australia | |
dc.subject.mesh | Health Status | |
dc.subject.mesh | Chronic Disease | |
dc.subject.mesh | Chronic Pain | |
dc.title | How do common conditions impact health-related quality of life for children? Providing guidance for validating pediatric preference-based measures. | |
dc.type | Journal Article | |
utslib.citation.volume | 21 | |
utslib.location.activity | England | |
utslib.for | 1117 Public Health and Health Services | |
pubs.organisational-group | /University of Technology Sydney | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health | |
pubs.organisational-group | /University of Technology Sydney/Strength - CHERE - Centre for Health Economics Research and Evaluation | |
pubs.organisational-group | /University of Technology Sydney/Faculty of Health/Centre for Health Economics Research and Evaluation | |
utslib.copyright.status | open_access | * |
dc.date.updated | 2023-10-05T02:38:12Z | |
pubs.issue | 1 | |
pubs.publication-status | Published online | |
pubs.volume | 21 | |
utslib.citation.issue | 1 |
Abstract:
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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