Mental health crisis care for children and young people
Bibliographic record
Abstract
Background There has been a sharp increase in mental health problems experienced by children and young people. Prior to the pandemic, one in eight 5-19 year olds in England had a probable mental disorder. In 2020, amongst 5-16 year olds this figure had risen to one in six. Amongst those with a mental health difficulty, almost half of older teenagers and a quarter of 11-16 year olds report having self-harmed or attempted suicide. In this context, services for young people in crisis are a UK priority, and provision is expanding. However, very little research into crisis services for young people has been undertaken. Aims This project is answering the question, ‘How are mental health crisis responses for children and young people up to the age of 25 sustained, experienced and integrated within their local systems of services’? Methods In work package (WP) 1, survey methods are being used to gather data on NHS, local authority, education and third sector approaches to the implementation and organisation of crisis care for children and young people across England and Wales. In WP2, qualitative methods underpinned by commitments to the use of normalisation process theory are being used to generate data on how services are organised, sustained, experienced and integrated in eight contrasting case studies. In WP3, findings from each case study will be compared and contrasted, and then synthesised to inform actionable lessons for policy and services. Results Our WP1 survey opened at the end of January 2023, with approaching 100 responses received from individual services by the middle of May 2023. WP2 fieldwork is scheduled to commence in summer 2023. This concurrent session opens with an introduction to our project, and summarises progress and findings to date. Further, comprehensive, findings will be presented at future MHNR conferences as the larger project progresses. Discussions/conclusions This project is funded by the National Institute for Health Research (NIHR) under its Health and Social Care Delivery Research programme (Grant Reference Number 151811). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. Reading Bennett C., Hannigan B., Elliott M., Elliott M., Evans N., Fraser C., Hails E., Jones A., McMillan I., Pryjmachuk S., Sawle L. and Vaughan R. (2023) Crisis care for children and young people with mental health problems: national mapping, models of delivery, sustainability and experience (CAMH-Crisis2). A study protocol. NIHR Open Research 3 (22) https://dx.doi.org/10.3310/nihropenres.13414.1 Evans N., Edwards D., Carrier J., Elliott M., Gillen E., Hannigan B., Lane R., Williams L. (2023) Mental health crisis care for children and young people aged 5 to 25 years: the CAMH-Crisis evidence synthesis. Health and Social Care Delivery Research 11 (3) http://dx.doi.org/10.3310/BPPT3407
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".