Psychometric properties of the structured <scp>S</scp>atisfaction <scp>Q</scp>uestionnaire with <scp>G</scp>astrostomy <scp>F</scp>eeding (<scp>SAGA</scp>‐8) for caregivers of children with gastrostomy tube nutritional support
Bibliographic record
Abstract
BACKGROUND: To analyse the psychometric properties of the structured Satisfaction Questionnaire with Gastrostomy Feeding (SAGA-8) in parents/caregivers of children with home enteral nutrition (HEN) by gastrostomy tube (GT). METHODS: Eighty-six caregivers (mothers) of paediatric patients with HEN by GT were recruited. Patients suffered from neurological disease (61.6%) and other chronic diseases. The SAGA-8 scale, a structured questionnaire to explore satisfaction with HEN by GT, and the Caregiver Burden Inventory (Zarit) were completed. The discriminating power of each of the SAGA-8 items, internal consistency and external validity were evaluated. An exploratory factor analysis and Kaiser-Meyer-Olkin (KMO) was performed as well. RESULTS: Eighty-four percent of the families expressed high satisfaction with GT feeding. All eight items of SAGA-8 gave additional information. The exploratory factor analysis revealed that a significant part of the items' variability could be explained by two independent factors: Factor 1 (direct benefit), which compiled the variables related to the perception of children's overall improvement by GT feeding; Factor 2 (indirect benefit), which grouped the variables related to a decrease in respiratory infections, feeding time and institutional support. Results from KMO (0.628) indicated the high adequacy of the items assessed in the factorial analysis. Moreover, the questionnaire presented high internal consistency (0.76), and the external validation analysis confirmed the correlation between SAGA-8 and Zarit, thereby emphasising the approptiate use of the SAGA-8 to detect carers' satisfaction. CONCLUSIONS: The SAGA-8 questionnaire has a high discriminatory power to assess the degree of satisfaction experienced by parents/caregivers of children with HEN by GT and, subsequently, the patients' wellbeing.
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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 | 0.009 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".