Effectiveness of disseminating consensus management recommendations for ulcer bleeding: a cluster randomized trial
Bibliographic record
Abstract
BACKGROUND: International guidelines for the management of nonvariceal upper gastrointestinal bleeding have not been widely adopted in clinical practice. We sought to determine whether a national, multifaceted intervention could improve adherence to guidelines, especially for patients at high risk of nonvariceal upper gastrointestinal bleeding. METHODS: In this randomized trial, we stratified hospitals by region and size and allocated sites to either the control or experimental group. Health care workers in the experimental group were given published guidelines, generic algorithms, stratification scoring systems and written reminders and attended multidisciplinary guideline education groups and case-based workshops. These interventions were implemented over a 12-month period after randomization, with performance feedback and benchmarking. The primary outcome of adherence rates to key guidelines in endoscopic and pharmacologic management, determined by chart review, was adjusted according to site characteristics and possible within-site dependencies. We also report the rates of adherence to other recommendations. RESULTS: Forty-three sites were randomized to the experimental (n=21) or control (n=22) groups. In our primary analysis, we compared patients before (experimental group: n=402 patients; control group: n=424 patients) and after (experimental group: n=361 patients; control group: n=389 patients) intervention. Patient-level analysis revealed no significant difference in adherence rates to the guidelines after the intervention (experimental group: 9.8%; control group: 4.8%; p=0.99) after adjustment for the rate of adherence before the intervention (experimental group: 13.2%; control group: 7.1%). The adherence rates to other guidelines were similar and decreased over time, varying between 5% and 93%. INTERPRETATION: This national knowledge translation-based trial suggests poor adherence to guidelines on nonvariceal upper gastrointestinal bleeding. Adherence was not improved by an educational intervention, which highlights both the complexity and poor predictability of attempting to alter the behaviour of health care providers (Trial registration: ClinicalTrials.gov, no. MCT-88113).
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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 | 0.011 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".