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How will a room service delivery system affect dietary intake, food costs, food waste and patient satisfaction in a paediatric hospital? A pilot study

2008· article· en· W2077907433 on OpenAlex
Karen Kuperberg, Angelina Caruso, Susan Dello, Diana R. Mager

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Foodservice · 2008
Typearticle
Languageen
FieldMedicine
TopicChild Nutrition and Feeding Issues
Canadian institutionsUniversity of AlbertaHospital for Sick Children
Fundersnot available
KeywordsMedicineMealFood wastePatient satisfactionFood serviceService (business)Environmental healthNursingBusinessWaste managementInternal medicine

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.078
Threshold uncertainty score0.964

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.227
Teacher spread0.202 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it