Heterogeneity of quality of life in young people attending primary mental health services

被引:5
|
作者
Cotton, Sue M. [1 ,2 ]
Hamilton, Matthew P. [2 ]
Filia, Kate [1 ,2 ]
Menssink, Jana M. [1 ,2 ]
Engel, Lidia [3 ]
Mihalopoulos, Cathrine [3 ]
Rickwood, Debra [4 ,5 ]
Hetrick, Sarah E. [6 ]
Parker, Alexandra G. [7 ]
Herrman, Helen [1 ,2 ]
Telford, Nic [4 ]
Hickie, Ian [8 ]
McGorry, Patrick D. [1 ,2 ]
Gao, Caroline X. [1 ,2 ,9 ]
机构
[1] Univ Melbourne, Ctr Youth Mental Hlth, Parkville, Vic 3052, Australia
[2] Orygen, Parkville, Vic 3052, Australia
[3] Deakin Univ, Sch Hlth & Social Dev, Inst Hlth Transformat, Deakin Hlth Econ,Fac Hlth, Geelong, Vic, Australia
[4] Headspace Natl Youth Mental Hlth Fdn Ltd, Melbourne, Vic 3000, Australia
[5] Univ Canberra, Fac Hlth, Canberra, ACT 2617, Australia
[6] Univ Auckland, Dept Psychol Med, Auckland 1142, New Zealand
[7] Victoria Univ, Inst Hlth & Sport, Melbourne, Vic 8001, Australia
[8] Univ Sydney, Brain & Mind, Camperdown, NSW 2050, Australia
[9] Monash Univ, Dept Epidemiol & Prevent Med, Melbourne, Vic 3004, Australia
基金
澳大利亚国家健康与医学研究理事会; 英国医学研究理事会;
关键词
Adolescence; latent class analysis; mental health services; quality of life; LATENT CLASS ANALYSIS; GENERALIZED ANXIETY DISORDER; CHRONIC PAIN; ADOLESCENTS; DEPRESSION; CHILDREN; AQOL-6D; CONSTRUCTION; INDIVIDUALS; INSTRUMENT;
D O I
10.1017/S2045796022000427
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
Aims The utility of quality of life (QoL) as an outcome measure in youth-specific primary mental health care settings has yet to be determined. We aimed to determine: (i) whether heterogeneity on individual items of a QoL measure could be used to identify distinct groups of help-seeking young people; and (ii) the validity of these groups based on having clinically meaningful differences in demographic and clinical characteristics. Methods Young people, at their first presentation to one of five primary mental health services, completed a range of questionnaires, including the Assessment of Quality of Life-6 dimensions adolescent version (AQoL-6D). Latent class analysis (LCA) and multivariate multinomial logistic regression were used to define classes based on AQoL-6D and determine demographic and clinical characteristics associated with class membership. Results 1107 young people (12-25 years) participated. Four groups were identified: (i) no-to-mild impairment in QoL; (ii) moderate impairment across dimensions but especially mental health and coping; (iii) moderate impairment across dimensions but especially on the pain dimension; and (iv) poor QoL across all dimensions along with a greater likelihood of complex and severe clinical presentations. Differences between groups were observed with respect to demographic and clinical features. Conclusions Adding multi-attribute utility instruments such as the AQoL-6D to routine data collection in mental health services might generate insights into the care needs of young people beyond reducing psychological distress and promoting symptom recovery. In young people with impairments across all QoL dimensions, the need for a holistic and personalised approach to treatment and recovery is heightened.
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页数:11
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