Factors associated with pharmacists’ perceptions of their working conditions and safety and effectiveness of patient care
Bibliographic record
Abstract
BACKGROUND: In recent years, the role of pharmacists has changed, as have various provincial legislations, which now allow pharmacists to provide additional health services to patients. With these changes comes growing concern about how well the current pharmacy working environment is adapting and whether it may also be creating work-related stress that may contribute to potentially unsafe practices of patient care. METHODS: To characterize the current working conditions of pharmacists in British Columbia, an online survey was developed and distributed to all College of Pharmacists of BC (CPBC) registrants by email. The survey consisted of questions on pharmacists' demographics, practice setting and perceptions of workplace conditions. Responses were collected from October 1 to November 10, 2013. All data were summarized using descriptive statistics, and regression models were constructed to assess the association between various factors and pharmacists' self-reported working conditions. RESULTS: Twenty-three percent (1241/5300) of pharmacists registered with the CPBC responded, with 78% working in the community pharmacy setting (58% chain, 19% independent). Pharmacists mostly disagreed with the statements that they had enough time for breaks or lunches or to do their jobs, as well as enough staffing support. Pharmacists' perceptions of their workplace environment were negatively associated with workplace-imposed advanced service quotas (for medication reviews, immunizations and prescription adaptations); being employed at chain store pharmacies, compared to independent pharmacies or hospitals/long-term care settings; and higher prescription volume. DISCUSSION: Pharmacists working in chain community pharmacies who are required to meet monthly quotas for expanded services reported a substantial negative impact on their working conditions and perceived safety of patient care. Can Pharm J (Ott) 2016;149:xx-xx.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".