Financial remuneration is positively correlated with the number of clinical activities: an example from diabetes management in Alberta community pharmacies
Bibliographic record
Abstract
OBJECTIVE: To determine whether use of a compensation plan to remunerate pharmacists for clinical pharmacy services was associated with the number of diabetes management activities provided. METHODS: Alberta pharmacists were asked about compensation plan use and frequency they provide a list of 80 diabetes management activities. KEY FINDINGS: A total of 168 community pharmacists responded to the survey. When compensation plan use, diabetes-specific training, practice characteristics and additional authorizations were incorporated into a factorial ANOVA, pharmacists who used the compensation plan reported a mean of 42.9 (95% CI 39.4 to 46.4) diabetes management activities, while those who did not reported a mean of 29.9 (95% CI 21.4 to 38.4) activities (P = 0.016). CONCLUSIONS: After considering other important influencing factors, use of the compensation plan is positively correlated with the number of diabetes management activities pharmacists provided.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".