Supporting Parents’ Pain Care Involvement With Their Children With Acute Lymphoblastic Leukemia: A Qualitative Interpretive Description
Bibliographic record
Abstract
Children with acute lymphoblastic leukemia experience pain from the disease, treatment, and procedures. Parents can be effective in managing their child's pain, but little is systematically known about how they do this. Appreciative inquiry was used to frame the study within a strengths-based lens and interpretive descriptive methods were used to describe pain sources, parents' pain care role, and key structures supporting parents pain care involvement. Eight paediatric oncology clinic nurses and 10 parents participated. Six key themes per group were identified. Parent themes included establishing therapeutic relationships, relearning how to care for my child, overcoming challenges and recognizing pain, learning parent specific strategies, empowering to take active pain care role, and maintaining relationships. Nurse themes included establishing therapeutic relationships, preparing parents to care for their child, facilitating pain assessment, teaching parents best pain care, empowering parents, and maintaining relationships. These findings can be used to guide clinical practice and future research.
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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 | 0.016 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".