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Record W2070760505 · doi:10.3821/1913-701x-142.4.178

Planning New Pharmacist Services that Last: The Prescription Shop's Travel Medicine Clinic

2009· article· en· W2070760505 on OpenAlexaffvenueabout
Brian Stowe, Nancy Winslade

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2009
Typearticle
Languageen
FieldHealth Professions
TopicHealth Policy Implementation Science
Canadian institutionsCarleton UniversityMcGill University
Fundersnot available
KeywordsMedical prescriptionPharmacyPharmacistProduct (mathematics)Process (computing)BusinessFace (sociological concept)NursingMedicineComputer science

Abstract

fetched live from OpenAlex

Community pharmacists across Canada are encountering opportunities to implement innovative patient care services. The provision of these services on a sustainable basis, however, is challenging and pharmacists face a number of barriers. Analysis of the planning process followed during development of the financially viable Prescription Shop travel medicine clinic was undertaken to offer guidance to pharmacists. The analysis was organized according to a traditional business model describing 3 phases of product development. A theoretical pharmacy practice change framework was adapted via insights gained from the implementation and day-today operation of the clinic. Results identified questions that are critical to address during each phase to ensure the selection, design and sustainable implementation of pharmacists' patient care services.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.815

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.001
Scholarly communication0.0050.001
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.515
GPT teacher head0.573
Teacher spread0.058 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations4
Published2009
Admission routes3
Has abstractyes

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