Indicators of safety compromise in gastrointestinal endoscopy
Bibliographic record
Abstract
MR Borgaonkar, L Hookey, R Hollingworth, et al. Indicators of safety compromise in gastrointestinal endoscopy. Can J Gastroenterol 2012;26(2):71-78. INTRODUCTION: The importance of quality indicators has become increasingly recognized in gastrointestinal endoscopy. Patient safety requires the identification and monitoring of occurrences associated with harm or the potential for harm. The identification of relevant indicators of safety compromise is, therefore, a critical element that is key to the effective implementation of endoscopy quality improvement programs. OBJECTIVE: To identify key indicators of safety compromise in gastrointestinal endoscopy. METHODS: The Canadian Association of Gastroenterology Safety and Quality Indicators in Endoscopy Consensus Group was formed to address issues of quality in endoscopy. A subcommittee was formed to identify key safety indicators. A systematic literature review was undertaken, and articles pertinent to safety in endoscopy were identified and reviewed. All complications and measures used to document safety were recorded. From this, a preliminary list of 16 indicators was compiled and presented to th RESULTS: A total of 19 indicators of safety compromise were retained and grouped into the three following categories: medication-related the need for CPR, use of reversal agents, hypoxia, hypotension, hypertension, sedation doses in patients older than 70 years of age, allergic reactions and laryngospasm/bronchospasm; procedure-related early - perforation, immediate postpolypectomy bleeding, need for hospital admission or transfer to emergency department from the gastroenterology unit, instrumen CONCLUSIONS: The 19 indicators of safety compromise in endoscopy, identified by a rigorous, evidence-based consensus process, provide clear outcomes to be recorded by all facilities as part of their continuing quality improvement programs.
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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 | 0.024 | 0.096 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.019 | 0.017 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".