How will a room service delivery system affect dietary intake, food costs, food waste and patient satisfaction in a paediatric hospital? A pilot study
Bibliographic record
Abstract
Abstract The current meal delivery system at The Hospital for Sick Children is a cold‐plating tray delivery system. Our goal was to determine the effect of a room service model on satisfaction, food costs/waste and macronutrient intake in an inpatient paediatric setting. A prospective cross‐sectional study of inpatients (n = 54) was studied over 6 days, 3 days under the current system and 3 days under the pilot model. A satisfaction questionnaire was used to assess satisfaction, and tray tickets were used to assess food costs/waste and dietary intake. With room service, satisfaction increased (P < 0.05), food costs decreased at breakfast and lunch (P < 0.05), and reductions in waste occurred at all meals (P < 0.05). There was an increase in energy, protein, carbohydrate and fat intake (P < 0.05) during lunch. Piloting a room service model in an acute‐care paediatric centre resulted in increased satisfaction, improved dietary intake and reduced food costs and waste, resulting in hospital‐wide implementation.
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.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".