Trauma Center Quality Improvement Programs in the United States, Canada, and Australasia
Bibliographic record
Abstract
In Brief Objective: To compare quality improvement (QI) programs of trauma centers in 4 high-income countries. Background: Injury is a leading cause of morbidity and mortality in countries around the world, but patient outcomes vary among countries with similar systems of trauma care. Methods: We surveyed medical directors and program managers from 330 trauma centers verified by professional trauma organizations in the United States (n = 263), Canada (n = 46), and Australasia (Australia, n = 18; New Zealand, n = 3) regarding their QI programs. Quality indicators were requested from all centers that measured quality of care. Follow-up interviews were performed with 75 centers purposively sampled across 6 baseline criteria. Results: A total of 251 centers (76% response rate) responded to the survey, with a similar distribution across countries. Trauma centers in the United States were more likely than those in Canada and Australasia to report measuring quality indicators (100% vs 94% vs 93%, P = 0.008), using report cards (53% vs 33% vs 31%, P = 0.033) and benchmarking (81% vs 61% vs 69%, P = 0.019). Centers in all 3 regions primarily used hospital process and outcome measures designed to establish whether care was safe (98% vs 97% vs 75%, P = 0.008), effective (97% vs 97% vs 92% P = 0.399), timely (88% vs 100% vs 92%, P = 0.055), and efficient (95% vs 100% vs 83%, P = 0.082). QI programs were largely local in nature, used different criteria to identify patients under QI purview, and employed diverse quality indicators and improvement strategies. Few centers evaluated the effectiveness of their QI program. Conclusions: This study provides the first international comparison of trauma center QI programs and demonstrates broad implementation in verified trauma centers in the United States, Canada, and Australasia. Significant variation exists in how trauma centers perform QI activities. Opportunities exist for improving and standardizing QI processes. This study compares quality improvement programs of trauma centers in the United States, Canada, Australia, and New Zealand. Quality improvement programs were largely local in nature, used different criteria to identify patients under purview, and employed diverse quality measurement and improvement strategies. Opportunities exist for improving and standardizing quality improvement processes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".