Key informants' perspectives on development of family medicine training programs in Ethiopia
Bibliographic record
Abstract
As a very low-income country, Ethiopia faces significant development challenges, though there is great aspiration to dramatically improve health care in the country. Family medicine has recently been recognized through national policy as one potential contributor in addressing Ethiopia's health care challenges. Family medicine is a new specialty in Ethiopia emerging in the context of family medicine development in Sub-Saharan Africa. The Addis Ababa University family medicine residency program started in 2013 and is the first and the only family medicine program in the country as of March 2016. Stakeholders on the ground feel that family medicine is off to a good start and have great enthusiasm and optimism for its success. While the Ministry of Health has a vision for the development of family medicine and a plan for rapid upscaling of family medicine across the country, significant challenges remain. Continuing discussion about the potential roles of family medicine specialists in Ethiopia and policy-level strategic planning to place family medicine at the core of primary health care delivery in the country is needed. In addition, the health care-tier system needs to be restructured to include the family medicine specialists along with appropriately equipped health care facilities for training and practice. Key stakeholders are optimistic that family medicine expansion can be successful in Ethiopia through a coordinated effort by the Ministry of Health and collaboration between institutions within the country, other Sub-Saharan African countries, and international partners supportive of establishing family medicine in Ethiopia.
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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 | 0.003 | 0.015 |
| 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 | 0.001 |
| 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".