Bibliographic record
Abstract

 Community pharmacist–led medication reviews are widely used in Canada and internationally.
 It has been shown that community pharmacist–led medication reviews can identify medication issues. Broadly speaking, pharmacists feel qualified to deliver this service and, from the few studies that measured patient satisfaction, patients find value in receiving a medication review in a community pharmacy.
 In terms of patient and health system outcomes, community pharmacist–led medication reviews seem to have limited impact. Individuals living with defined chronic conditions, such as diabetes or hypertension, or those living with multiple chronic conditions seem most likely to benefit.
 No studies of cost-effectiveness in the Canadian context were identified.
 A variety of barriers that impact pharmacist-led medication reviews were identified in the literature, including:
 
 limited communication between community pharmacists and prescribers resulting in pharmacists’ recommendations not being implemented
 a lack of time on the part of pharmacists
 challenges with patient selection.
 
 
 Policy interventions that may help alleviate these barriers include:
 
 incentivizing communication and collaboration between pharmacists and prescribers
 reducing administrative burden
 improving access to patient information
 enhancing patient selection by incentivizing service provision for the most medically complex patients.
 
 
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.
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 | 0.002 | 0.004 |
| 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 | 0.001 |
| 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 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".