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

Methodology of Young Minds Matter: The second Australian Child and Adolescent Survey of Mental Health and Wellbeing.

OBJECTIVE To describe the study design of Young Minds Matter: The second Australian Child and Adolescent Survey of Mental Health and Wellbeing. The aims of the study, sample design, development of survey content, field procedures and final questionnaires are detailed. METHOD During 2013-2014, a national household survey of the mental health and wellbeing of young people was conducted involvin...

Key findings from the second Australian Child and Adolescent Survey of Mental Health and Wellbeing.

OBJECTIVE To estimate the prevalence of mental disorders in children and adolescents in Australia, and the severity and impact of those mental disorders. METHOD Seven mental disorders were assessed using the parent- or carer-completed version of the Diagnostic Interview Schedule for Children Version IV, and major depressive disorder was also assessed using the youth self-report version of the...

Measuring and valuing health benefits for economic evaluation in adolescence: an assessment of the practicality and validity of the child health utility 9D in the Australian adolescent population.

OBJECTIVES The Child Health Utility 9D (CHU9D) is a new generic preference-based measure of health-related quality of life developed for children aged 7 to 11 years. There is increasing interest in its potential for application in adolescents, and previous research has demonstrated that it shows good construct validity here. This article further examines its practicality and validity in adolesc...

Valuing Child Health Utility 9D health states in a young adolescent sample

Self-harm: Prevalence estimates from the second Australian Child and Adolescent Survey of Mental Health and Wellbeing.

OBJECTIVE To (1) estimate the lifetime and 12-month prevalence of self-harm without suicide intent in young people aged 12-17 years, (2) describe the co-morbidity of these behaviours with mental illness and (3) describe their co-variation with key social and demographic variables. METHOD A nationally representative random sample of households with children aged 4-17 years recruited in 2013-20...