Perceived use, effectiveness and barriers of interprofessional interventions in an integrated Canadian trauma system: A practice survey
Bibliographic record
Abstract
ABSTRACT Background Effective interprofessional collaboration (IPC) is crucial for trauma care, but professionals often work in silos, leading to fragmented care. Interprofessional interventions can enhance IPC and trauma care quality, but their implementation and stakeholders' preferences are not well understood. We aimed to assess the perceived use, effectiveness, and barriers of interprofessional interventions in an integrated trauma system. Methods We conducted a cross-sectional survey across level I to III trauma centers within a Canadian trauma system (n=33). The survey was emailed to trauma program managers or medical directors, who forwarded it to their trauma committee members. The survey included 17 interprofessional interventions categorized into practice, education, and organization. Responses were analyzed using descriptive statistics and thematic analysis. Results 79% of trauma centers responded (n=26/33), including 10 level I-II and 16 level III centers, with 1 to 9 participants per center (n=76). The most commonly used interventions were practice-based, including patient-centered care (72%), interprofessional protocols (70%), and trauma team activation protocols (61%). Educational interventions (13-28%, e.g., simulation) and organizational interventions (4-58%, e.g., specialized teams, clinical pathways) were less common. Highly effective interventions were primarily organizational (93-98%, e.g., specialized teams), with some practice-based (92-95%, e.g., debriefing) and one educational (91%, simulation) intervention. Barriers included limited resources, time constraints, and team instability. Conclusion Our survey revealed variability in interprofessional interventions within a Canadian trauma system, with some perceived as highly effective but underutilized. We also identified barriers to implementation, guiding future efforts to improve trauma care through interprofessional strategies.
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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 | 0.005 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".