Promoting direct patient care services at community pharmacies through advanced pharmacy practice experiences
Bibliographic record
Abstract
OBJECTIVES: To determine the relative benefits of three different models of advanced pharmacy practice experience (APPE) in successfully integrating the delivery of direct patient care into students' final year community pharmacy clerkships. METHODS: All fourth-year pharmacy students at the University of British Columbia were divided into one of three study arms for their community APPE: a 2 × 4-week rotation in a traditional format, a 1 × 8-week rotation where their preceptors had experienced a 2-day education course and a 1 × 8-week rotation with both preceptor education plus a 5-day pre-APPE in-store orientation and peer debriefing. KEY FINDINGS: All 123 students conducted patient consultations and documented their care. Students in the pre-APPE + preceptor education arm provided nearly double the number of direct patient consultations than did students in the preceptor-education-only arm or the traditional 2 × 4-week arm. Numbers of drug-related problems identified and interventions performed per patient consult did not differ across study arms. CONCLUSIONS: Pre-APPE orientation activities provided an enhanced learning environment, promoted greater student engagement, provided care to more patients, increased preceptor preparedness and enhanced in-store patient-centred care practice. Certain of these learning activities can also form part of third- and fourth-year introductory pharmacy practice experiences to prepare students for their final-year APPE.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".