Post-endoscopy checklist reduces length of stay for non-variceal upper gastrointestinal bleeding
Bibliographic record
Abstract
OBJECTIVE: To examine the effect of improved gastroenterologist-to-admitting service communication on hospital stay for upper gastrointestinal bleeding. HYPOTHESIS: a detailed checklist addressing factors relevant to discharge planning would shorten hospital stay, when added to the procedure report. DESIGN: Pre-post intervention design, recording balance measures (potential confounders). SETTING: A Canadian university hospital. STUDY PARTICIPANTS: Intermittent 5- to 7-day batches of consecutive emergency patients presenting with non-variceal upper gastrointestinal bleeding as their primary problem. The durations of the background and intervention periods were 3 months (beginning 9 June 2003) and 4 weeks (beginning 8 September 2003), respectively. INTERVENTION: The gastrointestinal bleeding Quality Improvement and Health Information multidisciplinary team (quality improvement personnel; emergency physicians, hospitalists, gastroenterologists, in-patient and endoscopy nurses) developed a one-page checklist, outlining detailed recommendations (3-Ds-diet, drugs, discharge plan) to append to the procedure report. MAIN OUTCOME MEASURES: Difference in median length of hospital stay was the primary endpoint. As balance measures, demographics, bleeding severity, comorbidities, readmission rates, and various benchmark times were recorded prospectively. RESULTS: Thirty-nine patients met the criteria in the background period (4 months, intermittently sampled), and 22 in the intervention period (4 weeks, continuously sampled). There were no significant baseline differences. Median in-patient stay was 7.0 (95% interquartile range 2-24) versus 3.5 (95% interquartile range 1-12) days for the background and intervention periods, respectively (P = 0.003). This remained significant when outliers (stay > 10 days) were removed (P = 0.02). CONCLUSION: A checklist, with very specific recommendations to the admitting service, significantly reduced hospital stay for non-variceal gastrointestinal bleeding.
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".