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Australian adolescent population norms for the child health utility index 9D—results from the young minds matter survey

OBJECTIVE: Patient-reported outcomes of health-related quality-of-life (HRQoL) are important descriptors of population health. A recent Australian adolescent population survey provided a unique opportunity to derive preference-based HRQoL. METHODS: Data from 2967 adolescents aged 11–17 years were an...

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Autores principales: Le, Long Khanh-Dao, Richards-Jones, Scott, Chatterton, Mary Lou, Engel, Lidia, Lawrence, David, Stevenson, Chris, Pepin, Genevieve, Ratcliffe, Julie, Sawyer, Michael, Mihalopoulos, Cathrine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8126511/
https://www.ncbi.nlm.nih.gov/pubmed/33999321
http://dx.doi.org/10.1007/s11136-021-02864-8
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author Le, Long Khanh-Dao
Richards-Jones, Scott
Chatterton, Mary Lou
Engel, Lidia
Lawrence, David
Stevenson, Chris
Pepin, Genevieve
Ratcliffe, Julie
Sawyer, Michael
Mihalopoulos, Cathrine
author_facet Le, Long Khanh-Dao
Richards-Jones, Scott
Chatterton, Mary Lou
Engel, Lidia
Lawrence, David
Stevenson, Chris
Pepin, Genevieve
Ratcliffe, Julie
Sawyer, Michael
Mihalopoulos, Cathrine
author_sort Le, Long Khanh-Dao
collection PubMed
description OBJECTIVE: Patient-reported outcomes of health-related quality-of-life (HRQoL) are important descriptors of population health. A recent Australian adolescent population survey provided a unique opportunity to derive preference-based HRQoL. METHODS: Data from 2967 adolescents aged 11–17 years were analysed. An interviewer-led parent/carer questionnaire was administered for demographic variables and mental disorders of adolescents during previous 12 months using the Diagnostic Interview Schedule for Children. A self-report survey was administered to derive HRQoL using the child health utility nine-dimensions instrument (CHU-9D). Weighted HRQoL was derived for several demographic groups, mental disorder diagnosis, and youth risk behaviours. RESULTS: The total population had a mean utility of 0.78 [standard deviation (SD): 0.20]. Males had a significantly higher mean utility (0.81, SD 0.18) than females (0.76, SD: 0.21) (Cohen’s d = 0.23, p < 0.001), and utility decreased with age for both males and females (p < 0.001). Family type and some parent/carer variables were associated with significant lower HRQoL scores with small effect size. Youth risk behaviours were associated with reduced HRQoL with moderate effect sizes. Adolescents who self-harmed, had suicidal ideation, or had a mental disorder had significantly lower utilities scores with moderate to large effect sizes compared to those who did not have such conditions. CONCLUSIONS: This study has provided contemporary Australian population norms for HRQoL in adolescents that may be used as cross comparison between studies as well as indicators allowing estimation of population health (e.g. estimation of the burden of disease) and can be used to populate future economic models.
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spelling pubmed-81265112021-05-17 Australian adolescent population norms for the child health utility index 9D—results from the young minds matter survey Le, Long Khanh-Dao Richards-Jones, Scott Chatterton, Mary Lou Engel, Lidia Lawrence, David Stevenson, Chris Pepin, Genevieve Ratcliffe, Julie Sawyer, Michael Mihalopoulos, Cathrine Qual Life Res Article OBJECTIVE: Patient-reported outcomes of health-related quality-of-life (HRQoL) are important descriptors of population health. A recent Australian adolescent population survey provided a unique opportunity to derive preference-based HRQoL. METHODS: Data from 2967 adolescents aged 11–17 years were analysed. An interviewer-led parent/carer questionnaire was administered for demographic variables and mental disorders of adolescents during previous 12 months using the Diagnostic Interview Schedule for Children. A self-report survey was administered to derive HRQoL using the child health utility nine-dimensions instrument (CHU-9D). Weighted HRQoL was derived for several demographic groups, mental disorder diagnosis, and youth risk behaviours. RESULTS: The total population had a mean utility of 0.78 [standard deviation (SD): 0.20]. Males had a significantly higher mean utility (0.81, SD 0.18) than females (0.76, SD: 0.21) (Cohen’s d = 0.23, p < 0.001), and utility decreased with age for both males and females (p < 0.001). Family type and some parent/carer variables were associated with significant lower HRQoL scores with small effect size. Youth risk behaviours were associated with reduced HRQoL with moderate effect sizes. Adolescents who self-harmed, had suicidal ideation, or had a mental disorder had significantly lower utilities scores with moderate to large effect sizes compared to those who did not have such conditions. CONCLUSIONS: This study has provided contemporary Australian population norms for HRQoL in adolescents that may be used as cross comparison between studies as well as indicators allowing estimation of population health (e.g. estimation of the burden of disease) and can be used to populate future economic models. Springer International Publishing 2021-05-17 2021 /pmc/articles/PMC8126511/ /pubmed/33999321 http://dx.doi.org/10.1007/s11136-021-02864-8 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Le, Long Khanh-Dao
Richards-Jones, Scott
Chatterton, Mary Lou
Engel, Lidia
Lawrence, David
Stevenson, Chris
Pepin, Genevieve
Ratcliffe, Julie
Sawyer, Michael
Mihalopoulos, Cathrine
Australian adolescent population norms for the child health utility index 9D—results from the young minds matter survey
title Australian adolescent population norms for the child health utility index 9D—results from the young minds matter survey
title_full Australian adolescent population norms for the child health utility index 9D—results from the young minds matter survey
title_fullStr Australian adolescent population norms for the child health utility index 9D—results from the young minds matter survey
title_full_unstemmed Australian adolescent population norms for the child health utility index 9D—results from the young minds matter survey
title_short Australian adolescent population norms for the child health utility index 9D—results from the young minds matter survey
title_sort australian adolescent population norms for the child health utility index 9d—results from the young minds matter survey
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8126511/
https://www.ncbi.nlm.nih.gov/pubmed/33999321
http://dx.doi.org/10.1007/s11136-021-02864-8
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