Implementation of an Integrated Pediatric Perioperative Pain Pathway: A Quality Improvement Initiative
Bibliographic record
Abstract
Purpose: A quality improvement initiative was developed, implemented, and evaluated to improve pediatric postsurgical pain management and reduce hospital length of stay. Methods: An interdisciplinary working group developed the novel integrated pediatric perioperative pain (IP3) pathway adhering to the 3P approach to pain management. Preoperative psychological intervention, patient and caregiver education, standardized medication ordersets, and early identification of increased pain were the focus. Length of stay, opioid consumption, and achievement of physiotherapy goals were compared pre‐ and postpathway for children undergoing posterior spinal instrumentation and fusion (PSIF) for adolescent idiopathic scoliosis (AIS). Results: The prepathway ( n = 34) and postpathway ( n = 29) groups were well matched for age, gender, weight, number of levels fused, and socioeconomic status. Postpathway, length of stay in the intensive care unit (pre 1.06 days and post 0.76 days, p ≤ 0.01) and length of hospital stay (pre 6.24 days and post 5.11 days, p ≤ 0.01) significantly decreased. Standardized physiotherapy goals were achieved earlier postpathway implementation. Day of surgery postoperative opioid consumption was reduced in the postpathway group. Discussion: Implementation of the IP3 pathway resulted in significant improvement in pain management for children undergoing major orthopedic surgery. Shortened hospital stay, earlier achievement of physiotherapy goals, and reduced initial opioid consumption were realized. Future efforts will focus on applying this pathway to other pediatric surgeries, optimizing surgical scheduling, and enhancing staff education.
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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 | 0.012 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| 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".