Well-Being of Children With Neurologic Impairment After Fundoplication and Gastrojejunostomy Tube Feeding
Bibliographic record
Abstract
BACKGROUND: There is limited understanding on the impact of fundoplication or gastrojejunostomy tube (GJT) feeding in children with neurologic impairment who have swallowing dysfunction, gastroesophageal reflux disease, and/or dysmotility. OBJECTIVE: To explore and understand the well-being of families and their children with neurologic impairment who had either a fundoplication or GJT. METHODS: This was a qualitative study using in-depth, individual interviews with parents of children with severe neurologic impairment who had either a fundoplication with gastrostomy or GJT. Parents' perceptions of daily life and QoL were explored in the context of the interventions. Interviews were transcribed, and data were analyzed using qualitative content analysis. RESULTS: Children and their parents are profoundly impacted by the health condition of the children. QoL effects were similar across spheres of individual and family experience and well-being. Themes related to QoL were: physical health of the child and the future, intense caregiving needs, social isolation and stigma, pervasive impact on the family, financial strain, and the process of finding meaning. Fundoplication and GJT affected feeding tolerance and times, caregiving, and health care utilization. Parents identified how changes in these factors influenced child, parental, and family QoL. CONCLUSIONS: The diverse influences of the underlying condition and the interventions should be addressed in the delivery of health services. Future studies of the effectiveness of fundoplication and GJT feeding should address the well-being of the child and family, the impact on family caregiving, and health care utilization.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 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".