Development of a Postgraduate Community Pharmacist Specialization Program Using CanMEDS Competencies, and Entrustable Professional Activities
Why this work is in the frame
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Bibliographic record
Abstract
<b>Objectives.</b> To develop and implement a postgraduate, workplace-based curriculum for community pharmacy specialists in the Netherlands, conduct a thorough evaluation of the program, and revise any deficiencies found. <b>Methods.</b> The experiences of the Dutch Advisory Board for Postgraduate Curriculum Development for Medical Specialists were used as a guideline for the development of a competency-based postgraduate education program for community pharmacists. To ensure that community pharmacists achieved competence in 10 task areas and seven roles defined by the Canadian Medical Education Directions for Specialists (CanMEDS), a two-year workplace-based curriculum was built. A development path along four milestones was constructed using 40 entrustable professional activities (EPAs). The assessment program consisted of 155 workplace-based assessments, with the supervisor serving as the main assessor. Also, 360-degree feedback and 22 days of classroom courses were included in the curriculum. In 2014, the curriculum was evaluated by two focus groups and a review committee. <b>Results.</b> Eighty-two first-year trainees enrolled in the community pharmacy specialist program in 2012. That number increased to 130 trainees by 2016 (a 59% increase). In 2015, based on feedback from pharmacy supervisors, trainees, and other stakeholders, 22.5% of the EPAs were changed and the number of workplace-based assessments was reduced by 48.5%. <b>Conclusion.</b> Using design approaches from the medical field in the development of postgraduate workplace-based pharmacy education programs proved to be feasible and successful. How to address the concerns and challenges encountered in developing and maintaining competency-based postgraduate pharmacy education programs merits further research.
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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 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it