effect of an integrative nursing program on pain of school-age children with leukemia undergoing lumbar punctures
Bibliographic record
Abstract
The purpose of this quasi-experimental research was to examine the effect of an integrative nursing program on pain of school-age children with leukemia undergoing lumbar punctures. The Gate Control Theory provided the conceptual framework for this study. The subjects were 30 leukemia children aged between 8-12 years old undergoing lumbar punctures with the pain scores of two or over and being treated with chemotherapy at Khon Kaen Hospital. The first 15 children were allocated based on a simple random sampling of the control group and the last 15 children in the experimental group. The research instruments of this study were a pain assessment form and an Integrative Nursing Program. Children in the treatment group received integrative nursing care. The experiment was divided into three periods, namely pre-trial, post-trial, and follow-up periods. The data were analyzed using frequency, percentage, mean, standard deviation, and t-test. The findings of this research revealed that children undergoing the Integrative Nursing Program had significantly less pain than children receiving conventional nursing care at the statistical level of .05. The children received integrative nursing care had significantly less pain in post-trial and follow-up periods than the pre-trial period at the statistical level of .05.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".