Thromboprophylaxis in hospitalized trauma patients: a systematic review and meta-analysis of implementation strategies
Bibliographic record
Abstract
Introduction: Venous thromboembolism (VTE) prophylaxis implementation strategies are well-studied in some hospitalized medical and surgical patients. Although VTE is associated with substantial mortality and morbidity in trauma patients, implementation strategies for the prevention of VTE in trauma appear to be based on limited evidence. Therefore, we conducted a systematic review and meta-analysis of published literature on active implementation strategies for VTE prophylaxis administration in hospitalized trauma patients and the impact on VTE events. Methods: A systematic review and meta-analysis was performed in adult hospitalized trauma patients to assess if active VTE prevention implementation strategies change the proportion of patients who received VTE prophylaxis, VTE events, and adverse effects such as bleeding or heparin-induced thrombocytopenia as well as hospital length of stay and the cost of care. An academic medical librarian searched Medline, Scopus, and Web of Science until December 2022. Results: Four studies with a total of 1723 patients in the active implementation strategy group (strategies included education, reminders, human and computer alerts, audit and feedback, preprinted orders, and/or root cause analysis) and 1324 in the no active implementation strategy group (guideline creation and dissemination) were included in the analysis. A higher proportion of patients received VTE prophylaxis with an active implementation strategy (OR=2.94, 95% CI (1.68 to 5.15), p<0.01). No significant difference was found in VTE events. Quality was deemed to be low due to bias and inconsistency of studies. Conclusions: Active implementation strategies appeared to improve the proportion of major trauma patients who received VTE prophylaxis. Further implementation studies are needed in trauma to determine effective, sustainable strategies for VTE prevention and to assess secondary outcomes such as bleeding and costs. Level of evidence: Systematic review/meta-analysis, level III. PROSPERO registration number: CRD42023390538.
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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 | 0.016 | 0.039 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.035 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".