Design and Implementation of a postgraduate curriculum to support Ethiopia's first emergency medicine residency training program: the Toronto Addis Ababa Academic Collaboration in Emergency Medicine (TAAAC-EM)
Bibliographic record
Abstract
BACKGROUND: To design and implement an emergency medicine (EM) postgraduate training curriculum to support the establishment of the first EM residency program at Addis Ababa University (AAU). METHODS: In response to the Ethiopian Federal Ministry of Health mandate to develop EM services in Ethiopia, University of Toronto EM faculty were invited to develop and deliver EM content and expertise for the first EM postgraduate residency training program at AAU. The Toronto Addis Ababa Academic Collaboration-EM (TAAAC-EM) used five steps of a six-step approach to guide curriculum development and implementation: 1. Problem identification and general needs assessment, 2. Targeted needs assessment using indirect methods (interviews and site visits of the learners and learning environment), 3. Defining goals and objectives, 4. Choosing educational strategies and curriculum map development and 5. RESULTS: The needs assessment identified a learning environment with appropriate, though limited, resources for the implementation of an EM residency program. A lack of educational activities geared towards EM practice was identified, specifically of active learning techniques (ALTs) such as bedside teaching, simulation and procedural teaching. A curriculum map was devised to supplement the AAU EM residency program curriculum. The TAAAC-EM curriculum was divided into three distinct streams: clinical, clinical epidemiology and EM administration. The clinical sessions were divided into didactic and ALTs including practical/procedural and simulation sessions, and bedside teaching was given a strong emphasis. Implementation is currently in its seventh year, with continuous monitoring and revisions of the curriculum to meet evolving needs. CONCLUSION: We have outlined the design and implementation of the TAAAC-EM curriculum; an evaluation of this curriculum is currently underway. As EM spreads as a specialty throughout Africa and other resource-limited regions, this model can serve as a working guide for similar bi-institutional educational partnerships seeking to develop novel EM postgraduate training programs.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.021 | 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".