Pediatric Endoscopy Quality Improvement Network Quality Standards and Indicators for Pediatric Endoscopic Procedures
Bibliographic record
Abstract
INTRODUCTION: High-quality pediatric gastrointestinal procedures are performed when clinically indicated and defined by their successful performance by skilled providers in a safe, comfortable, child-oriented, and expeditious manner. The process of pediatric endoscopy begins when a plan to perform the procedure is first made and ends when all appropriate patient follow-up has occurred. Procedure-related standards and indicators developed to date for endoscopy in adults emphasize cancer screening and are thus unsuitable for pediatric medicine. METHODS: With support from the North American and European Societies of Pediatric Gastroenterology Hepatology and Nutrition (NASPGHAN and ESPGHAN), an international working group of the Pediatric Endoscopy Quality Improvement Network (PEnQuIN) used the methodological strategy of the Appraisal of Guidelines for REsearch and Evaluation (AGREE) II instrument to develop standards and indicators relevant for assessing the quality of endoscopic procedures. Consensus was sought via an iterative online Delphi process and finalized at an in-person conference. The quality of evidence and strength of recommendations were rated according to the GRADE (Grading of Recommendation Assessment, Development, and Evaluation) approach. RESULTS: The PEnQuIN working group achieved consensus on 14 standards for pediatric endoscopic procedures, as well as 30 indicators that can be used to identify high-quality procedures. These were subcategorized into three subdomains: Preprocedural (3 standards, 7 indicators), Intraprocedural (8 standards, 18 indicators), and Postprocedural (3 standards, 5 indicators). A minimum target for the key indicator, "rate of adequate bowel preparation," was set at ≥80%. DISCUSSION: It is recommended that all facilities and individual providers performing pediatric endoscopy worldwide initiate and engage with the procedure-related standards and indicators developed by PEnQuIN to identify gaps in quality and drive improvement.
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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 | 0.155 | 0.210 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.011 | 0.012 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".