Caregivers’ Perceptions of Real-Food Containing Tube Feeding: A Canadian Survey
Bibliographic record
Abstract
Caregivers of children requiring tube feeding show growing interest in real-food containing formula, including home-blenderized tube feeding (HBTF) and commercial real-food containing formulas (CRFCF). This study aimed to understand caregivers' perceptions of both. Caregivers using real-food containing tube feeding were recruited through the Feeding Tube Awareness Foundation Facebook group. A 13-question online survey asked about use of HBTF and CRFCF, beliefs about their choices, and what resources guided formula use. Forty-one completed the survey, with mean child age of 7 years. Overall, 54% (n = 22) used HBTF formulas, 34% (n = 14) CRFCF, and 12% (n = 5) used both. For 70% (n = 29), presence of whole foods, nutritional completeness, and natural ingredients were most important. Challenges with CRFCF use included lack of variety (n = 10, 53%) and cost (n = 9, 47%). HBTF challenges were difficulty preparing away from home (n = 19, 70%) and need for special blenders (n = 15, 56%). Participants believed CRFCF are convenient (n = 35, 85%) and nutritionally consistent (n = 25, 61%), but do not contain enough real-food ingredients (n = 26, 63%). Facebook or other social media was the most valued resource guiding formula use (n = 25, 61%). Caregivers desire formulas that are nutritionally complete and made of whole foods. CRFCF offers convenience and consistency, yet caregivers prefer more real-food ingredients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".