Patient and carer participation in old age psychiatry in England. Part II: models of participation
Bibliographic record
Abstract
BACKGROUND: There are a number of models of patient and carer participation. Their usefulness and applicability to old age psychiatry is considered. METHODS: Models of participation are reviewed and related to examples of participation initiatives drawn from the author's work in the context of the National Health Service in the United Kingdom. RESULTS: Models of participation which emphasize collaboration and partnership are found to be useful. Simple interventions such as copying letters to patients and/or carers can lead to change in the balance of power between staff and patients/carers. Initiatives which draw on the experiences of patients and carers can facilitate organizational learning and development. Involving patients and carers in education offers a way to influence services and the staff working in them. CONCLUSION: Participation is better understood as a spectrum rather than a hierarchy. Old age psychiatry services would benefit from developing greater patient and carer participation at all levels.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".