Acute care surgery, trauma and disaster relief: a clinical exchange between the University of British Columbia and the Mexican Red Cross
Bibliographic record
Abstract
Background: Our objective was to establish a sustainable educational partnership and clinical exchange between the trauma services at Vancouver General Hospital (VGH) and the Mexican Red Cross hospital in Mexico City (Hospital Central de la Cruz Roja [HCCR] Polanco). Methods: In 2017, a general surgery resident in postgraduate year 4 travelled from VGH to HCCR Polanco for the initial exchange, followed by a trauma fellow. The surgical case volumes in a month at VGH and a month at HCCR Polanco were compared. At the end of the exchange, a 36-item Likert style questionnaire was administered to the Mexican surgeons and residents who interacted with the Canadian resident and fellow during the exchange. Results: The most commonly performed procedures on the VGH acute care surgery service were laparoscopic cholecystectomy (35%) and laparoscopic appendectomy (17%). The most commonly performed procedures on the VGH trauma service were chest tube insertions (24%) and tracheostomies (24%). The most commonly performed procedures at HCCR Polanco were surgery for penetrating abdominal trauma (19%) and extremity trauma (13%). The survey results indicated that the costs of travel and accommodation were obstacles to future exchanges. All survey respondents wanted to continue collaborating with Canadians on clinical and research endeavours, felt that hosting Canadian residents was a valuable experience and felt that visiting VGH would also be valuable. Conclusion: Canadian surgical trainees gained valuable exposure to operative trauma during the exchange. The mix of operations performed at VGH and HCCR Polanco was vastly different; therefore, the exchange broadened the trainees' surgical experience. There was a unanimously positive response to the exchange among the Mexican survey respondents. This exchange is part of a long-term collaboration between our surgical centres.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".