Pediatric Assessment Scale for Severe Feeding Problems: Validity and Reliability of a New Scale for Tube‐Fed Children
Bibliographic record
Abstract
BACKGROUND: This study reports data on the validity and reliability of a new parent report measure, the Pediatric Assessment Scale for Severe Feeding Problems, designed to assess progress in the development of oral eating skills for children who need prolonged tube feeding. METHODS: The questionnaire was completed by parents of 3 groups of children. The first group consisted of 17 children who received all of their nutrition by tube feedings, a second group of 30 children who were oral eaters but required supplementation by tube feedings, and a third group of 27 children who were referred for feeding difficulties but were not receiving any tube feeding. A subset of parents from each group completed the measure a second time approximately 2 to 4 weeks after completing the initial questionnaire in order to examine the reliability of the measure. RESULTS: The mean scores (scale of 0 to 66) on the measure were 7.3 for completely tube-fed children, 30.0 for partially tube-fed children, and 46.8 for referred, non-tube-fed children. The correlation between first and second administration of the measure was .98. CONCLUSIONS: The validity and reliability of the Pediatric Assessment Scale for Severe Feeding Problems appears to be adequate. The new measure should allow clinicians to better rate initial severity of feeding difficulties and to track the progress of children as they advance from being totally tube-fed to completely orally fed.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".