Evaluating prescribing competencies covered in a Canadian-accredited undergraduate pharmacy program in Qatar: a curriculum mapping process
Bibliographic record
Abstract
BACKGROUND: The objective of this study was to evaluate the existing Bachelor of Science in Pharmacy [BSc (Pharm)] curriculum at Qatar University College of Pharmacy (QU CPH), for addressing international prescribing competencies. METHODS: The Australian National Prescribing Service (NPS MedicineWise) Competencies Required to Prescribe Medicines framework (the Prescribing Competencies Framework) was used in the BSc (Pharm) curriculum mapping process. The NPS MedicineWise Prescribing Competencies Framework outlines seven competency areas that are essential for pharmacist prescribing. The first mapping activity assessed the learning outcomes (LOs) of 62 courses within the BSc (Pharm) curriculum for covering and addressing the NPS MedicineWise competencies. The second mapping activity involved matching the LOs identified to address the NPS MedicineWise prescribing competencies, to the 2017 Association of Faculties of Pharmacy of Canada (AFPC) educational outcomes, on which the QU CPH BSc (Pharm) program is based. The AFPC educational outcomes address seven key program-level learning outcomes. RESULTS: The QU CPH BSc (Pharm) curriculum addresses most of the prescribing competencies listed in the NPS MedicineWise Prescribing Competencies Framework. However, gaps were identified in the curricular content and in the LOs that were related, but not restricted, to the following: electronic prescribing, physical examinations/preparing patients for investigations, and policies/procedures and quality assurace related to prescribing. Other gaps identified include legislative and workplace requirements for obtaining consent to access confidential patient's health information. CONCLUSION: The curriculum mapping exercise provided evidence that, for the most part, the existing BSc (Pharm) curriculum at QU CPH prepares pharmacy graduates for prescribing. However, there are areas that need better alignment between the taught curriculum and training on prescribing in practice. The results of this study are important to consider if pharmacist prescribing is to be implemented in Qatar.
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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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".