Accreditation in a Sub Saharan Medical School: a case study at Makerere University
Bibliographic record
Abstract
INTRODUCTION: Of more than the 2,323 recognized and operating medical schools in 177 countries (world wide) not all are subjected to external evaluation and accreditation procedures. Quality Assurance in medical education is part of a medical school's ethical responsibility and social accountability. Pushing this agenda in the midst of resource limitation, numerous competing interests and an already overwhelmed workforce were some of the challenges faced but it is a critical element of our medical profession's social contract. This analysis paper highlights the process of standard defining for Medical Education in a typically low resourced sub Saharan medial school environment. METHODS: The World Federation for Medical Education template was used as an operating point to define standards. A wide range of stakeholders participated and meaningfully contributed in several consensus meetings. Effective participatory techniques were used for the information gathering process and analysis. RESULTS: Standards with a clear intent to enhance education were set through consensus. A cyclic process of continually measuring, judging and improving all standards was agreed and defined. Examples of the domains tackled are stated. CONCLUSION: Our efforts are good for our patients, our communities and for the future of health care in Uganda and the East African region.
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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 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 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".