Transitioning from child to adult mental health services: what role for social services? Insights from a European survey
Bibliographic record
Abstract
Purpose Young people transitioning from child to adult mental health services are frequently also known to social services, but the role of such services in this study and their interplay with mental healthcare system lacks evidence in the European panorama. This study aims to gather information on the characteristics and the involvement of social services supporting young people approaching transition. Design/methodology/approach A survey of 16 European Union countries was conducted. Country respondents, representing social services’ point of view, completed an ad hoc questionnaire. Information sought included details on social service availability and the characteristics of their interplay with mental health services. Findings Service availability ranges from a low of 3/100,000 social workers working with young people of transition age in Spain to a high 500/100,000 social workers in Poland, with heterogeneous involvement in youth health care. Community-based residential facilities and services for youth under custodial measures were the most commonly type of social service involved. In 80% of the surveyed countries, youth protection from abuse/neglect is overall regulated by national protocols or written agreements between mental health and social services, with the exception of Czech Republic and Greece, where poor or no protocols apply. Lack of connection between child and adult mental health services has been identified as the major obstacles to transition (93.8%), together with insufficient involvement of stakeholders throughout the process. Research limitations/implications Marked heterogeneity across countries may suggest weaknesses in youth mental health policy-making at the European level. Greater inclusion of relevant stakeholders is needed to inform the development and implementation of person-centered health-care models. Disconnection between child and adult mental health services is widely recognized in the social services arena as the major barrier faced by young service users in transition; this “outside” perspective provides further support for an urgent re-configuration of services and the need to address unaligned working practices and service cultures. Originality/value This is the first survey gathering information on social service provision at the time of mental health services transition at a European level; its findings may help to inform services to offer a better coordinated social health care for young people with mental health disorders.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".