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Record W2571144571 · doi:10.1177/1715163516679426

Conflict in community pharmacy practice

2016· article· en· W2571144571 on OpenAlexafffundvenue
Paul A.M. Gregory, Zubin Austin

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2016
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsUniversity of Toronto
FundersOntario College of Pharmacists
KeywordsPharmacyCommunity practiceCommunity pharmacyPharmacy practicePublic relationsPolitical scienceMedicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Intraprofessional conflict among pharmacists, regulated technicians and assistants may undermine attempts to advance patient care in community pharmacy. There is no available research examining this issue in light of the evolution of the profession and roles within the profession. METHODS: A combination of interviews and focus groups involving pharmacists, technicians and assistants was undertaken. Each participant completed the Conflict Management Scale as a way of identifying conflict management style. Data were analyzed and coded using a constant-comparative, iterative method. RESULTS: A total of 41 pharmacy team members participated in this research (14 pharmacists, 14 technicians and 13 assistants). Four key themes were identified that related to conflict within community pharmacy: role misunderstanding, threats to self-identity, differences in conflict management style and workplace demotivation. INTERPRETATION: As exploratory research, this study highlighted the need for greater role clarity and additional conflict management skills training as supports for the pharmacy team. The impact of conflict in the workplace was described by participants as significant, adverse and multifactorial. CONCLUSIONS: To support practice change, there has been major evolution of roles and responsibilities of pharmacists, technicians and assistants. Conflict among pharmacy team members has the potential to adversely affect the quality of care provided to patients and is an issue for managers, owners, regulators and educators.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.527
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.170
GPT teacher head0.397
Teacher spread0.227 · 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

Citations25
Published2016
Admission routes3
Has abstractyes

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