Variations in the costs of child and adolescent psychiatric in-patient units
Bibliographic record
Abstract
BACKGROUND: Child and adolescent in-patient care is a highly specialised service, ideally requiring planning at a national level, but there are no routine data collections specifically for these services. AIMS: To estimate unit costs for child and adolescent psychiatric in-patient units and to analyse the variations in costs between units. METHOD: Data collection alongside a national survey with cost estimations guided by principles drawn from economic theory. Bivariate and multivariate analyses are employed to identify cost influences. RESULTS: Fifty-eight units could provide sufficient data to allow calculation of the cost per in-patient day; mean= pound 197 (s.d.=71.6; 1999-2000 prices). The management sector, type of provision, number of rooms, capacity and location explained nearly half of the cost variation. CONCLUSIONS: Child and adolescent psychiatric in-patient units are an expensive resource, with personnel absorbing two-thirds of the total costs. Costs per in-patient day vary fourfold and the exploration of cost variations can inform commissioning strategies.
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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 | 0.001 | 0.019 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".