A 4 year quality improvement initiative reducing post‐operative nausea and vomiting in children undergoing strabismus surgery at a quaternary paediatric hospital
Bibliographic record
Abstract
BACKGROUND: Post-operative nausea and vomiting is a significant cause of morbidity in pediatric anesthesia. As well as patient discomfort, post-operative nausea and vomiting can also result in dehydration, delayed discharge and unplanned hospital admission. Children undergoing strabismus surgery are known to be a particularly high risk group for post-operative nausea and vomiting. AIMS: The aim of this project was to reduce post-operative nausea and vomiting by 50% over a period of 12 months. METHODS: This was a single centre retrospective observational study, with prospective observational follow up. A driver diagram was constructed and smart aim established. The Plan-Do-Study-Act method of quality improvement was used for this project. Benchmark data from one hundred patients was collected retrospectively from patient records. After this, interventions were introduced and serial data was prospectively collected. Statistical process control charts were constructed to monitor percentage bundle compliance and incidence of post-operative nausea and vomiting in the post anesthetic care unit. RESULTS: Post-operative nausea and vomiting data was collected for 1079 children in total. Baseline incidence of post-operative nausea and vomiting was 18%. After 4 years this was reduced to 4.72%. At the conclusion of the project there was no significant difference over the previous six months between the incidence of post-operative nausea and vomiting in the strabismus population and the general post anesthetic care unit population. CONCLUSION: Using quality improvement methodology, we were able to sustainably reduce the incidence of post-operative nausea and vomiting for children undergoing strabismus repair. We demonstrated using an evidence based therapeutic bundle can reduce incidence of post-operative nausea and vomiting in the high risk surgical strabismus population to a level comparable to the average post-operative nausea and vomiting incidence in our post anesthetic care unit population.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".