Evaluation of community pharmacy workplace wellness: Literature review, environmental scan, and task force recommendations
Bibliographic record
Abstract
Pharmacy professionals report experiencing burnout and stress in the workplace. Concerns exist that burnout and stress in the pharmacy profession are having an impact on patient care and may be affecting the sustainability of the pharmacy profession. In response, pharmacy regulatory authorities worldwide are exploring how to address workplace wellness. Jurisdictions have varied in terms of the approaches taken, which range from surveys of pharmacy professionals, formation of committees or working groups, and legislative changes. The approach taken by the New Brunswick College of Pharmacists (NBCP) consisted of a literature review of the current state of pharmacy workplace wellness, an environmental scan of approaches to wellness taken in other jurisdictions, a workforce planning survey to gain insight into workplace wellness of pharmacy professionals, and the formation of a task force to make recommendations for improving workplace wellness of New Brunswick pharmacy professionals. Outlining the approach taken in New Brunswick, Canada provides insight that may help other pharmacy regulatory authorities who are considering, or in the process of, implementing a pharmacy workplace wellness initiative.
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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 | 0.084 | 0.177 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.006 |
| Bibliometrics | 0.029 | 0.025 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".