Length of stay, wait time to surgery and 30-day mortality for patients with hip fractures after the opening of a dedicated orthopedic weekend trauma room
Bibliographic record
Abstract
BACKGROUND: In September 2011, Kingston General Hospital (KGH) opened a dedicated orthopedic weekend trauma room. Previously, 1 weekend operating room (OR) was used by all surgical services. We assessed the impact this dedicated weekend trauma room had on hospital length of stay (LOS), time to surgery and 30-day mortality for patients with hip fractures. METHODS: Patients admitted between Oct. 1, 2009, and Sept. 30, 2012, were identified through our trauma registry, representing the 2 years before and 1 year after the opening of the orthopedic weekend trauma room. We documented type of fracture, mode of fixation, age, sex, American Society of Anesthesiologists (ASA) score, time to OR, LOS, discharge disposition and 30-day mortality. We excluded patients with multiple fractures, open fractures and those requiring trauma team activation. RESULTS: Our study included 609 patients (405 pre- and 204 post-trauma room opening). Mean LOS decreased from 11.6 to 9.4 days (p = 0.005) and there was a decreasing trend in mean time to OR from 31.5 to 28.5 hours (p = 0.16). There was no difference in 30-day mortality (p = 0.24). The LOS decreased by an average of 2 days following opening of the weekend trauma room (p = 0.031) and by an average of 2.2 additional days if the patient was admitted on the weekend versus during the week (p = 0.024). CONCLUSION: The weekend trauma OR at KGH significantly decreased the LOS and appears to have decreased wait times to surgery. Further analysis is needed to assess the cost-effectiveness of the current strategy, the long-term outcome of this patient population and the impact the additional orthopedic weekend trauma room has had on other surgical services (i.e., general surgery) and their patients.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".