Potassium, phosphorus and sodium content of commercially available soups: Implications for patients with chronic kidney disease
Bibliographic record
Abstract
Title Effect of a protected mealtime pilot on energy and protein intake in a Canadian hospital. Abstract Introduction. In Canada, approximately 45% of hospitalized patients are moderately or severely malnourished upon admission. The protected mealtime policy was designed to protect mealtimes from unnecessary and avoidable interruptions, providing an environment conducive to eating.Objective. This pilot study aimed to provide preliminary results for the effect this policy has on patient energy and protein intake.Methods. One-group pre-post observation design conducted on an adult inpatient unit at a hospital in Toronto, Ontario. Pre and post-observations included the frequency and type of interruptions, type of interrupter, and patient energy and protein intake at each meal. Demographic, diet, and disease related information was collected for each participant.Results. The average number and length of interruptions decreased in the post-observation period by 46.6% (0.7 interruptions per meal) and 25.2% (3 minutes per meal). Energy and protein consumption increased by 5.4% or 91.1 kcal (381.1kJ) and 7.2% or 4.6 grams per day. The most frequent types of interruptions observed were bedside procedure/vitals (20.1%, 48 interruptions) and interruptions of a neighbouring patient in the same room (22.1%, 27 interruptions). Conclusions. The implementation of a protected mealtime policy decreased the average number and length of interruptions patients experienced and increased the average length of mealtime assistance provided to patients. Energy and protein consumption showed a slight increase during the post-observation period when the protected mealtime policy was implemented. Significance to the field of dietetics. A protected mealtime policy may be an effective policy to address malnutrition among hospitalized Canadian adults. Further studies are warranted in Canada to determine the effects and feasibility of this policy implementation.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".