Pharmacist prescribing training models in the United Kingdom, Australia, and Canada: Snapshot survey
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
Background: This study sought to identify the differences between training models for pharmacist prescribing across three countries according to the funding, model of prescribing the pharmacist will practice after training, training course framework, method of delivery, assessment, continuing professional development, and barriers and facilitators to enrolment. Methods: An online quantitative/qualitative snapshot survey was sent to academics of pharmacist prescribing courses and Deans of different pharmacy schools in the UK (n=49), Australia (n=12), and Canada (n=10). A narrative analysis was undertaken. Results: Seventeen pharmacy schools responded (24% response rate). The UK provides postgraduate training courses funded by the government. Canada incorporates prescribing competencies into entry-t- practice courses. Australia does not provide courses yet. Conclusion: Pharmacist prescribing is still under-utilised in many countries. Standardisation would reduce variation and improve uptake in countries implementing pharmacist prescribing roles. However, there is currently no international unified system or curriculum for pharmacists' prescribing courses.
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 | 0.002 | 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 | 0.001 | 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 it