Dining On Call: Outcomes of a hospital patient dining model
Bibliographic record
Abstract
Dining On Call (DOC) is a hospital foodservice model allowing patients to order meals any time throughout the day and is delivered within 45 minutes of the order. It is positively correlated with patient satisfaction, improvements in malnutrition, and reducing costs. Pre- and post-DOC data were collected from BC Children's Hospital, BC Women's Hospital, and North York General Hospital (NYGH) using patient satisfaction surveys and tray waste audits to measure outcomes. Patient satisfaction scores increased at all hospitals. BC Children's and Women's hospitals demonstrated reductions in tray waste, food cost/meal/day, and labour cost/meal/day post-DOC. North York General Hospital observed decreases in tray waste; however, food cost/meal/day and labour cost/meal/day increased post-DOC. This research provides convincing evidence into the achievable benefits associated with DOC on mother and paediatric units in hospital settings. DOC may prove to be an effective dining model for hospitals seeking to improve patient outcomes and reduce overall costs.
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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 | 0.003 | 0.018 |
| 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 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".