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Record W2594549639 · doi:10.1111/ijpp.12331

Financial remuneration is positively correlated with the number of clinical activities: an example from diabetes management in Alberta community pharmacies

2017· article· en· W2594549639 on OpenAlexaffabout
Rajan Bharadia, Kathleen Lorenz, Ken Cor, Scot H. Simpson

Bibliographic record

VenueInternational Journal of Pharmacy Practice · 2017
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineRemunerationPharmacyDiabetes mellitusFamily medicineDiabetes managementFinanceType 2 diabetesBusiness

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine whether use of a compensation plan to remunerate pharmacists for clinical pharmacy services was associated with the number of diabetes management activities provided. METHODS: Alberta pharmacists were asked about compensation plan use and frequency they provide a list of 80 diabetes management activities. KEY FINDINGS: A total of 168 community pharmacists responded to the survey. When compensation plan use, diabetes-specific training, practice characteristics and additional authorizations were incorporated into a factorial ANOVA, pharmacists who used the compensation plan reported a mean of 42.9 (95% CI 39.4 to 46.4) diabetes management activities, while those who did not reported a mean of 29.9 (95% CI 21.4 to 38.4) activities (P = 0.016). CONCLUSIONS: After considering other important influencing factors, use of the compensation plan is positively correlated with the number of diabetes management activities pharmacists provided.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.276
Threshold uncertainty score0.884

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.233
GPT teacher head0.517
Teacher spread0.284 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2017
Admission routes2
Has abstractyes

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