Teaching psychiatry in a <scp>low‐income</scp> country during the <scp>COVID</scp>‐19 pandemic: A hybrid collaborative psychiatry course
Bibliographic record
Abstract
Amoud University in Borama is located in the self-declared state of Somaliland, in the Horn of Africa. Past conflicts and resulting economic hardship have led to a lack of local academic psychiatry faculty and resources. Amoud has been for some years partnering with voluntary faculty in the United Kingdom to teach psychiatry to its medical students through in-person "teaching missions." This was recently led by a Borama-native psychiatry resident in Ethiopia. COVID-19 added further hardships due to restrictions to travel and in-person gatherings. These challenges also created the opportunity for the development of an innovative, international, hybrid (online onsite), self-sustaining partnership model which has been successful in improving psychiatry teaching for undergraduate students in 2020-2021 and will continue in 2021-2022. An international, 'online-connected' department of psychiatry comprising a primary care physician in Somaliland, three postgraduate trainees in Ethiopia and the United States, and three senior psychiatrists in the United Kingdom developed a local faculty-led, hybrid-delivered, dynamic curriculum (bedside teaching, in person and online lecturing) that adapted to the needs, resources, faith and culture of Somaliland. While 2020-2021 has been the pilot year for the program, the overall experience has been enriching for students and faculty, leading to valuable cross-cultural conversations with impact on teaching and research. While learning about Somalilanders' and trauma, the program leads, also the authors of this article, have identified ways to harness the resilience and faith of students to bring about improvements in global mental health.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".