The mental health detention process: a scoping review to inform GP training
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: GPs are often faced with deciding whether or not a patient may require detention for assessment in hospital under mental health legislation. This can be a complex and daunting process. Despite this, GPs and most other professionals receive limited formal training. AIM: To map and review the current literature on training in mental health detention processes. These insights are vital to inform the further development of meaningful educational approaches. DESIGN & SETTING: A systematic scoping literature review was conducted to identify what is known about how best to develop training in this area. METHOD: Arksey and O'Malley's framework was used to select, chart, and analyse articles from across six electronic databases. A total of 1136 articles were included in the initial screening phase and 183 articles were included in the full-text screening phase. Key themes were derived using an iterative and thematic approach. A personal and public involvement (PPI) group was set up for this project and other stakeholders in the mental health detention process were consulted about the findings. RESULTS: Fifty-two articles were included in the final review. Professionals consistently highlighted unmet training needs and difficulties with the process. There were identified needs for practical, interdisciplinary training, including discussion of complex cases, and opportunities to learn from those with direct experience. CONCLUSION: This work is foundational for the development of meaningful educational approaches around mental health detention processes. A strong research base will inform and strengthen training with the ultimate aim of improving patient care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 it