Utilization of a Perioperative Care Pathway for Pediatric Alveolar Bone Grafting: A Quality Improvement Initiative
Bibliographic record
Abstract
Objective To develop, implement, and evaluate a standardized perioperative care pathway for pediatric patients undergoing alveolar bone grafting from the anterior iliac crest. Design A historical control group of 40 patients was reviewed retrospectively and compared to a prospectively collected treatment group of 40 patients who were treated with the new pathway. Setting Tertiary-level academic pediatric hospital between 2018 and 2021. Patients Pediatric patients with nonsyndromic cleft lip and palate undergoing alveolar bone grafting. Intervention A perioperative clinical care pathway was specifically designed for patients undergoing alveolar bone grafting from the anterior iliac crest. The pathway involved standardization of perioperative care, ultrasound-guided regional anesthesia for both surgical sites, and scheduled postoperative analgesia. Main outcome measures (1) Length of hospital stay; (2) opioid consumption postoperatively; and (3) volume of oral intake in the first 24 h postoperatively. Data was analyzed via comparison of means (Student's t-test for continuous data and Chi-square test for categorical data) and control chart analysis. Results Compared to the control group, patients in the treatment group had lower mean length of stay (26.8 vs 37.8 h, p < .001), lower mean morphine consumption postoperatively (8 vs 34 mcg/kg, p = .008), and a higher proportion of patients not requiring any postoperative opioid use (80% vs 50%, p = .005). Conclusions Implementation of a standardized clinical care pathway for pediatric patients undergoing alveolar bone grafting from the anterior iliac crest is feasible and was associated with significant reductions in postoperative length of stay and postoperative opioid requirements.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".