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Record W2886753022 · doi:10.1177/1715163518790984

Community pharmacists’ attitudes, opinions and beliefs about leadership in the profession: An exploratory study

2018· article· en· W2886753022 on OpenAlexafffundvenue
Davin Shikaze, Muhammad Arabi, Paul Gregory, Zubin Austin

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2018
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsUniversity of Toronto
FundersOntario College of Pharmacists
KeywordsPublic relationsPharmacyRemunerationExploratory researchCynicismPsychologyMedical educationPolitical scienceMedicineNursingSociology

Abstract

fetched live from OpenAlex

BACKGROUND: The profession of pharmacy needs effective leaders to navigate change. Indirect indicators suggest there are insufficient numbers of pharmacists who actually want to be leaders. A paucity of research limits our understanding of what motivates and demotivates pharmacists to be leaders. This exploratory study was undertaken to investigate community pharmacists' attitudes, opinions and beliefs about leadership. METHODS: Interviews with 38 pharmacists were conducted either in person or using telecommunication applications such as Skype. A semistructured interview guide was used to elicit comments about leadership in general and in pharmacy, perceived leadership roles and barriers/enablers to leadership. Data were analyzed using Chan and Drasgow's motivation-to-lead framework. RESULTS: Key barriers to assuming leadership roles included lack of education/support, inadequate compensation, concerns about work-life balance, time constraints and a generalized discontent about leadership in society and in the profession. DISCUSSION: While some of these barriers could be addressed through formal education (such as conflict management training) or through managerial influence (e.g., remuneration or scheduling to improve work-life balance), some (such as cynicism about leadership) will be more challenging to address. The need to address these barriers will grow as the need for new and emerging leaders in pharmacy continues to evolve.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.633
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.003
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 head0.418
GPT teacher head0.428
Teacher spread0.010 · 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 designCase report
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

Citations22
Published2018
Admission routes3
Has abstractyes

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