Comparison of strategies for adherence to venous thromboembolism prophylaxis in high-risk surgical patients: a before and after intervention study
Bibliographic record
Abstract
BACKGROUND: Venous thromboembolism (VTE) is a major cause of perioperative morbimortality. Despite significant efforts to advance evidence-based practice, prevention rates remain inadequate in many centres. OBJECTIVE: To evaluate the effectiveness of different strategies aimed at improving adherence to adequate VTE prophylaxis in surgical patients at high risk of VTE. METHOD: Before and after intervention study conducted at a tertiary hospital. Adherence to adequate VTE prophylaxis was compared according to three strategies consecutively implemented from January 2019 to December 2020. A dedicated hospitalist physician alone (strategy A) or in conjunction with a nurse (strategy B) overlooked the postoperative period to ensure adherence and correct inadequacies. Finally, a multidisciplinary team approach (strategy C) focused on promoting adequate VTE prophylaxis across multiple stages of care-from the operating room (ie, preoperative team-based checklist) to collaboration with clinical pharmacists in the postoperative period-was implemented. RESULTS: We analysed 2074 surgical patients: 783 from January to June 2019 (strategy A), 669 from July 2019 to May 2020 (strategy B), and 622 from June to December 2020 (strategy C). VTE prophylaxis adherence rates for strategies (A), (B) and (C) were (median (25th-75th percentile)) 43.29% (31.82-51.69), 50% (42.57-55.80) and 92.31% (91.38-93.51), respectively (p<0.001; C>A=B). There was a significant reduction in non-compliance on all analysed criteria (risk stratification (A (25.5%), B (22%), C (6%)), medical documentation (A (68%), B (55.2%) C (9%)) and medical prescription (A (51.85%), B (48%), C (6.10%)) after implementation of strategy C (p<0.05). Additionally, a significant increase in compliance with adequate dosage, dosing interval and scheduling of the prophylactic regimen was observed. CONCLUSION: Perioperative VTE prophylaxis strategies that relied exclusively on physicians and/or nurses were associated with suboptimal execution and prevention. A multidisciplinary team-based approach that covers multiple stages of patient care significantly increased adherence to adequate VTE prophylaxis in surgical patients at high risk of developing perioperative VTE.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".