Residents working with Médecins Sans Frontières: training and pilot evaluation
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Bibliographic record
Abstract
BACKGROUND: Well-prepared humanitarian workers are now more necessary than ever. Essential to the preparation process are: clearly defined learning objectives, curricula tailored to the nuances of humanitarian settings, simulation-based training, and evaluation. This manuscript describes a training program designed to prepare medical residents for their first field deployment with Médecins Sans Frontières and presents the results of a pilot assessment of its effectiveness. METHODS: The training was jointly developed by the Research Center in Emergency and Disaster Medicine- CRIMEDIM of the Università del Piemonte Orientale, Novara, Italy, and the humanitarian aid organization Médecins Sans Frontières- Italy (MSF-Italy); the following topics were covered: disaster medicine, public health, safety and security, infectious diseases, psychological support, communication, humanitarian law, leadership, and job-specific skills. It used a blended-learning approach consisting of a 3-month distance learning module; 1-week instructor-led coaching; and a field placement with MSF. We assessed its effectiveness using the first three levels of Kirkpatrick's training evaluation model. RESULTS: Eight residents took part in the evaluation. Four were residents in emergency medicine, 3 in anesthesia, and 1 in pediatrics; 3 of them were female and the median age was 31 years. Two residents were deployed in Pakistan, 1 in Afghanistan, 1 in the Democratic Republic of Congo, 1 in Iraq, 2 in Haiti and 1 on board of the MSF Mediterranean search & rescue ship. Mean deployment time was 3 months. The average median score for the overall course was 5 (excellent). There was a significant improvement in post-test multiple choice scores (p = 0.001) and in residents' overall performance scores (P = 0.000001). CONCLUSION: Residents were highly satisfied with the training program and their knowledge and skills improved as a result of participation. TRIAL REGISTRATION: This study was approved by the Institutional Ethics Committee (date 24-02-2016, study code UPO.2015.4.10).
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it