Centre for Youth Mental Health - Research Publications
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ItemFactors associated with vocational disengagement among young people entering mental health treatment(WILEY, 2019-08)AIM: Most mental disorders have their onset by age 25, disrupting normative vocational engagement. Factors associated with vocational disengagement at first contact with specialist treatment are important for service planning. The aim of this paper was to investigate the association between theoretically important factors and vocational disengagement for youth entering mental health treatment. METHODS: A file audit was used to extract vocational data of 145 young people aged 15 to 25 years entering treatment in 2011 at a public youth mental health service in Melbourne, Australia. Comparisons were made across three specialist programs for: psychosis (n = 50), mood disorders (n = 52) and borderline personality pathology (n = 43). Individual characteristics were entered into univariate and multivariate logistic regressions to investigate their associations with vocational disengagement. RESULTS: Educational disengagement was associated with being older (OR = 4.38, P = 0.004) and not living with parents (OR = 2.87, P = 0.038). Unemployment and being NEET (Not in Education, Employment or Training) were both associated with not having commenced tertiary education (OR = 0.23, P = 0.022; OR = 0.05, P = 0.002; respectively). Being NEET was also associated with being older (OR = 6.18, P = 0.004). Primary diagnostic grouping was not associated with vocational disengagement, once accounting for other factors. CONCLUSIONS: The likelihood of vocational disengagement did not differ across disorder groups, implying that intervention should be "transdiagnostic" and might best target education first, specifically post-secondary qualifications. Other domains or variables not measured in this study are also likely to be important, and this might include young people's support systems and symptom severity. Qualitative studies may be useful for exploring further factors relevant to vocational engagement.
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ItemVocational engagement among young people entering mental health treatment compared with their general population peers(WILEY, 2019-06)AIM: To compare rates of vocational engagement for youth entering specialist mental health treatment with the general population. METHODS: A file audit retrieved vocational data for 145 youth aged 15 to 25 entering treatment. Clinical and population data were stratified by age and sex and compared between cohorts. RESULTS: Compared to the population, young people entering mental health treatment were less likely to have completed at least Year 11 in school (77% vs 42%, P < 0.001); and demonstrated higher rates of "Not in Education, Employment or Training" (9% vs 33%, P < 0.001). Individuals aged 15 to 18 years entering treatment experienced greater rates of educational disengagement than the population (30% vs 11%, P < 0.001), whereas people aged 19 to 25 years showed higher unemployment rates (52% vs 35%, P = 0.003). CONCLUSIONS: Youth entering specialist mental health treatment have marked levels of vocational disengagement compared to demographically-matched peers. Early vocational intervention for these young people is essential.
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ItemA Comparison of Vocational Engagement Among Young People with Psychosis, Depression and Borderline Personality Pathology(SPRINGER, 2018-08)Poor vocational engagement is well documented among young people experiencing first-episode psychosis (FEP). The aim of the present study was to establish and compare rates of vocational engagement across young people with first-episode psychosis, depression, and borderline personality pathology. A file audit was used to collect vocational data of young people aged 15-25 entering tertiary mental health treatment in 2011. Rates of vocational engagement were similar across groups, indicating that like those with FEP, young people with depression and borderline personality pathology experience impaired vocational engagement and are in need of targeted vocational interventions. Post hoc analysis indicated that that the depression group had significantly more people who were partially vocationally engaged compared with the psychosis group, suggesting that vocational interventions might need to be targeted differently across different diagnostic groups. Future research should explore risk factors for vocational disengagement across diagnostic groups in order to inform intervention development.