Development of an Acute Care Plastic Surgery Service in the Saskatoon Health Region: Effects on flexor tendon management
Bibliographic record
Abstract
Background The acute care surgery model has gained favour in general surgery, but has yet to be widely adopted in other specialties. An Acute Care Plastic Surgery (ACS) Service was recently implemented in the Saskatoon Health Region in an effort to improve trauma care. Objective To evaluate the impact of ACS on the management of flexor tendon lacerations. The authors hypothesize that ACS has resulted in more timely intervention, improved outcomes and decreased ‘after hours’ surgery. Methods A retrospective review of patients treated for flexor tendon lacerations from 2007 to 2013 was performed. Patients were stratified into two groups based on whether they received treatment before (group A) or after (group B) ACS implementation. Variables included dates and times of patient referral, consultation and tendon repair; postoperative complications; and admissions. A surgeon survey was administered on the perceived impact of ACS. Results Group A was more likely to have surgery performed after hours (P=0.0019) and be admitted to hospital (P=0.0211) compared with group B. Time from referral to consultation and injury-to-surgery interval were slightly increased post-ACS (Group B). Surgeons were highly satisfied with the new system, citing benefits to patients and surgeons. Conclusion ACS was designed to improve trauma care, while favourably impacting surgeon workload. Surprisingly, the injury-to-surgery interval was slightly increased. However, this was not clinically significant and did not lead to increased postoperative complications. This finding was likely due to a favourable change in practice patterns observed after ACS implementation. ACS has resulted in fewer hospital admissions, decreased after-hours surgeries and improved surgeon satisfaction.
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 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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".