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

被引:10
作者
Le, Long Khanh-Dao [1 ,7 ]
Richards-Jones, Scott [1 ]
Chatterton, Mary Lou [1 ]
Engel, Lidia [1 ]
Lawrence, David [2 ]
Stevenson, Chris [3 ]
Pepin, Genevieve [3 ]
Ratcliffe, Julie [4 ]
Sawyer, Michael [5 ,6 ]
Mihalopoulos, Cathrine [1 ]
机构
[1] Deakin Univ, Sch Hlth & Social Dev, Fac Hlth Inst Hlth Transformat, Deakin Hlth Econ, Geelong, Vic, Australia
[2] Univ Western Australia, Grad Sch Educ, Perth, WA, Australia
[3] Deakin Univ, Sch Hlth & Social Dev, Fac Hlth, Geelong, Vic, Australia
[4] Flinders Univ S Australia, Caring Futures Inst, Hlth & Social Care Econ Grp, Adelaide, SA, Australia
[5] Univ Adelaide, Sch Psychol, Adelaide, SA, Australia
[6] Univ Adelaide, Adelaide Med Sch, Adelaide, SA, Australia
[7] Deakin Univ, Sch Hlth & Social Dev, Geelong, Vic, Australia
基金
澳大利亚国家健康与医学研究理事会;
关键词
Australia; Adolescents; CHU-9D; Quality-of-life; Utility scores; Quality-adjusted life year; QUALITY-OF-LIFE; MENTAL-HEALTH; VALIDITY; 9D; AQOL-6D; VALUES; CHU9D;
D O I
10.1007/s11136-021-02864-8
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
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.
引用
收藏
页码:2895 / 2906
页数:12
相关论文
共 25 条
[11]   Population norms for the AQoL derived from the 2007 Australian National Survey of Mental Health and Wellbeing [J].
Hawthorne, Graeme ;
Korn, Sam ;
Richardson, Jeff .
AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, 2013, 37 (01) :7-16
[12]  
Hudson, 2019, 2019 WORLD C HLTH EC
[13]  
Lawrence D, 2015, REPORT 2 AUSTR CHILD
[14]   Deriving population norms for the AQoL-6D and AQoL-8D multi-attribute utility instruments from web-based data [J].
Maxwell, Aimee ;
Ozmen, Mehmet ;
Iezzi, Angelo ;
Richardson, Jeff .
QUALITY OF LIFE RESEARCH, 2016, 25 (12) :3209-3219
[15]   Health state utility values of high prevalence mental disorders in Australia: results from the National Survey of Mental Health and Wellbeing [J].
Mihalopoulos, Cathrine ;
Engel, Lidia ;
Le, Long Khanh-Dao ;
Magnus, Anne ;
Harris, Meredith ;
Chatterton, Mary Lou .
QUALITY OF LIFE RESEARCH, 2018, 27 (07) :1815-1825
[16]   Australian health-related quality of life population norms derived from the SF-6D [J].
Norman, Richard ;
Church, Jody ;
van den Berg, Bernard ;
Goodall, Stephen .
AUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, 2013, 37 (01) :17-23
[17]   Valuing the Child Health Utility 9D: Using profile case best worst scaling methods to develop a new adolescent specific scoring algorithm [J].
Ratcliffe, Julie ;
Huynh, Elisabeth ;
Chen, Gang ;
Stevens, Katherine ;
Swait, Joffre ;
Brazier, John ;
Sawyer, Michael ;
Roberts, Rachel ;
Flynn, Terry .
SOCIAL SCIENCE & MEDICINE, 2016, 157 :48-59
[18]   Nothing About Us Without Us? A Comparison of Adolescent and Adult Health-State Values for the Child Health Utility-9D Using Profile Case Best-Worst Scaling [J].
Ratcliffe, Julie ;
Huynh, Elisabeth ;
Stevens, Katherine ;
Brazier, John ;
Sawyer, Michael ;
Flynn, Terry .
HEALTH ECONOMICS, 2016, 25 (04) :486-496
[19]   Whose Values in Health? An Empirical Comparison of the Application of Adolescent and Adult Values for the CHU-9D and AQOL-6D in the Australian Adolescent General Population [J].
Ratcliffe, Julie ;
Stevens, Katherine ;
Flynn, Terry ;
Brazier, John ;
Sawyer, Michael G. .
VALUE IN HEALTH, 2012, 15 (05) :730-736
[20]   An assessment of the construct validity of the CHU9D in the Australian adolescent general population [J].
Ratcliffe, Julie ;
Stevens, Katherine ;
Flynn, Terry ;
Brazier, John ;
Sawyer, Michael .
QUALITY OF LIFE RESEARCH, 2012, 21 (04) :717-725