Effectiveness of trauma centers verification: Protocol for a systematic review
Bibliographic record
Abstract
BACKGROUND: The implementation of trauma systems in many high-income countries over the last 50 years has led to important reductions in injury mortality and disability in many healthcare jurisdictions. Injury organizations including the American College of Surgeons and the Trauma Association of Canada as well as the World Health Organization provide consensus-based recommendations on resources and processes for optimal injury care. Many hospitals treating trauma patients seek verification to demonstrate that they meet these recommendations. This process may be labeled differently across jurisdictions. In Canada for example, it is called accreditation, but it has the same objective and very similar modalities. The objective of the study described in this protocol is to systematically review evidence on the effectiveness of trauma center verification for improving clinical processes and patient outcomes in injury care. METHODS: We will perform a systematic review of studies evaluating the association between trauma center verification and hospital mortality (primary outcome), as well as morbidity, resource utilization, and processes of care (secondary outcomes). We will search CINAHL, EMBASE, HealthStar, MEDLINE, and ProQuest databases, as well as key injury organization websites for gray literature. We will assess the methodological quality of studies using the Risk Of Bias In Non-randomized Studies - of Interventions (ROBINS-I) assessment tool. We are planning to conduct a meta-analysis if feasible based on the number of included studies and their heterogeneity. We will evaluate the quality of cumulative evidence and strength of recommendations using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) working group methodology. DISCUSSION: This review will provide a synthesis of the body of evidence on trauma center verification effectiveness. Results could reinforce current verification modalities and may suggest ways to optimize them. Results will be published in a peer-reviewed journal and presented at an international clinical conference. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018107083.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.027 | 0.005 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".