Pediatric Endoscopy Quality Improvement Network Pediatric Endoscopy Reporting Elements
Bibliographic record
Abstract
INTRODUCTION: High-quality procedure reports are a cornerstone of high-quality pediatric endoscopy as they ensure the clear communication of procedural events and outcomes, guide patient care and facilitate continuous quality improvement. The aim of this document is to outline standardized reporting elements that achieved international consensus as requirements for high-quality pediatric endoscopy procedure reports. 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 Delphi methodology to identify key elements that should be found in all pediatric endoscopy reports. Item reduction was attained through iterative rounds of anonymized online voting using a 6-point scale. Responses were analyzed after each round and items were excluded from subsequent rounds if ≤50% of panelists rated them as 5 ("agree moderately") or 6 ("agree strongly"). Reporting elements that ≥70% of panelists rated as "agree moderately" or "agree strongly" were considered to have achieved consensus. RESULTS: Twenty-six PEnQuIN group members from 25 centers internationally rated 63 potential reporting elements that were generated from a systematic literature review and the Delphi panelists. The response rates were 100% for all three survey rounds. Thirty reporting elements reached consensus as essential for inclusion within a pediatric endoscopy report. DISCUSSION: It is recommended that the PEnQuIN Reporting Elements for pediatric endoscopy be universally employed across all endoscopists, procedures and facilities as a foundational means of ensuring high-quality endoscopy services, while facilitating quality improvement activities in pediatric endoscopy.
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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 | 0.240 | 0.325 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.003 |
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".