Standardized Assessment of Pharmacists' Patient Care Competencies:
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Assessing the ongoing competence of practicing health care professionals requires regulators to balance complex demands of governments and the public, as well as interests and concerns of practitioners. A proliferation of models has evolved across professions and jurisdictions. In this article, we report on a model utilizing standardized assessment using best-practice measurement techniques and methods for evaluation of ongoing (i.e., post-registration) clinical competencies in the profession of pharmacy in Ontario, Canada. This model involves categorization of the profession into an active patient-facing and non patient-facing register, implementation of a learning portfolio requirement to replace mandatory continuing education credit accumulation, and the use of standardized assessment techniques, such as a multiple-choice test of clinical knowledge and an objective structured clinical examination (OSCE) of clinical reasoning and interpersonal skills. Lessons learned from the development, implementation and retrospective analysis of almost two decades of data from this program can provide regulators in diverse professions and different jurisdictions with tools for standardized assessment of patient care competencies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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