Parents’ management of adolescent patients’ postoperative pain after discharge: A qualitative study
Bibliographic record
Abstract
Background: Short hospital admission periods following pediatric inpatient surgery leave parents responsible for managing their child’s postoperative pain in the community following discharge. Little is known about the experiences of parents caring for their child’s postoperative pain after discharge home following inpatient surgery. Research examining parental postoperative pain management following their child’s day surgery has found that parents are challenged in their pain management knowledge and practices.Aims: This interpretative phenomenological analysis study sought to understand parents’ experiences caring for their child’s postoperative pain at home.Methods: Semistructured telephone interviews were conducted with seven parents between 2 weeks and 6 months after their child’s discharge from hospital.Results: Identified themes were coming home without support, managing significant pain at home, and changes in the parent–child relationship.Conclusions: Parents could potentially benefit from nurses optimizing educational interventions, from receiving ongoing support of transitional pain teams, and from assistance with return to school planning.
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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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".