Pharmacist contributions to patient care and medical conditions present among recipients of Ontario primary care team pharmacist-led medication reviews: a qualitative analysis
Bibliographic record
Abstract
OBJECTIVES: Family Health Teams (FHTs) in Ontario, Canada are interdisciplinary primary healthcare practices where pharmacists engage in patient care including medication and chronic disease management. METHODS: Descriptive content analysis was used to examine qualitative responses of FHT pharmacists on their most significant contribution to a patient's medication management. KEY FINDINGS: Common roles described included medication management (70.2%), counselling and education (15.5%), monitoring and optimization (11.3%) and administration (3.1%). Chronic conditions addressed were diabetes (39.0%), cardiovascular (22.0%), pain (17.0%) and mental health (11.0%). CONCLUSIONS: While FHT pharmacists primarily view themselves as medication management experts, larger roles in counselling, education and chronic disease management are key contributions.
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How this classification was reachedexpand
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".