Competency framework for hospital pharmacy residency: a scoping review
Bibliographic record
Abstract
The training and roles of pharmacists around the world are undergoing drastic changes. In the hospital environment, pharmaceutical care services must incorporate hospital pharmacy management necessities, which must consider the constant technological and process innovations. However, there is a scarcity of studies exploring how pharmacy residency programs real experiences in hospitals can improve these essential competencies. This scoping review allowed an overview of the pharmacy residency programs' competency framework's scientific production in the world. These documents review about training programs in the world showed that U.S. programs have teaching processes that evaluate resident's development to certify the program structure to qualify them. Australian and Canadian studies demonstrated advances in the search for pharmacy residents' qualifications with competency-based curricula. It highlighted that a structured and evidence-based approach to these programs' curricula is required and still has ample space in several countries to improve hospital pharmacists' training through residency programs. The most appropriate is that the programs are evaluated in terms of educational results by measuring residents' involvement by considering the course, tutors, and other program components.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.034 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.024 | 0.015 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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; a candidate call from one source (direct Gemma or distilled Codex), 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".