ArticleEpidemiology and psychiatric sciences2024
Capturing the clinical complexity in young people presenting to primary mental health services: a data-driven approach.
Article in Epidemiology and psychiatric sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Music-based interventions in the treatment of eating disorders: a scoping review.Frontiers in psychiatry · 2025Pooled it
- Predictors of depression outcomes among university students following brief smartphone-based interventions.Npj mental health research · 2026Article
- Toward the automation of family semantic grids: a pilot exploration of text mining for evidence-informed systemic-relational psychotherapy.Frontiers in child and adolescent psychiatry · 2026Article
- Understanding Engagement With Digital Mental Health Technology in Mental Health Services: Multicenter Observational Study.Journal of medical Internet research · 2025Observational
- Novel youth mental health services in Australia: What differences are being reported about the clinical needs of those who attend and the outcomes achieved?The Australian and New Zealand journal of psychiatry · 2025Article
- Suicidality in Primary Care, Youth Mental Health Services: Prevalence, Risk Factors and Implications for Practice.Early intervention in psychiatry · 2025Article
- Beyond symptoms: a multi-perspective study on youth with severe and enduring mental health problems.Frontiers in psychiatry · 2025Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsThe specific and multifaceted service needs of young people have driven the development of youth-specific integrated primary mental healthcare models, such as the internationally pioneering
methodsThis retrospective study involved analysis of
resultsA total of 81,622 episodes of care from 76,021 young people across 113 services were analysed. Around 20% of young people clustered into a 'high complexity' group, presenting with a variety of complexity factors, including severe disorders, a trauma history and psychosocial impairments. Two moderate complexity groups were identified representing 'distress complexity' and 'psychosocial complexity' (about 20% each). Compared with the 'distress complexity' group, young people in the 'psychosocial complexity' group presented with a higher proportion of education, employment and housing issues in addition to psychological distress, and had lower levels of service engagement. The distribution of complexity profiles also varied across different
conclusionsThe proposed data-driven complexity model offers valuable insights for clinical planning and resource allocation. The identified groups highlight the importance of adopting a holistic and multidisciplinary approach to address the diverse factors contributing to clinical complexity. The large number of young people presenting with moderate-to-high complexity to
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