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Record W4392888771 · doi:10.1016/j.rcsop.2024.100432

Evaluation of community pharmacy workplace wellness: Literature review, environmental scan, and task force recommendations

2024· article· en· W4392888771 on OpenAlexaffabout
Dana Borowitz, Shanna Trenaman, Anastasia Shiamptanis

Bibliographic record

VenueExploratory Research in Clinical and Social Pharmacy · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare professionals’ stress and burnout
Canadian institutionsDalhousie University
Fundersnot available
KeywordsPharmacyWorkforceBurnoutPharmacy practiceNursingMedicineMedical educationPublic relationsPolitical science

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.045
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.870
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0450.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.005
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.519
GPT teacher head0.643
Teacher spread0.124 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreEmpirical

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".

Quick stats

Citations6
Published2024
Admission routes2
Has abstractyes

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