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Record W3110662523 · doi:10.3390/pharmacy8040234

The Evolving Role and Impact of Integrating Pharmacists into Primary Care Teams: Experience from Ontario, Canada

2020· review· en· W3110662523 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePharmacy · 2020
Typereview
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsMcMaster UniversityUniversity of TorontoUniversity of Waterloo
FundersGovernment of Ontario
KeywordsPharmacistPrimary careScope of practiceScope (computer science)Health careNursingAsset (computer security)MedicineResource (disambiguation)Family medicinePolitical sciencePharmacy

Abstract

fetched live from OpenAlex

The movement to integrate pharmacists into a primary care team-based settings is growing in countries such as Canada, the United States, the United Kingdom, and Australia. In the province of Ontario in Canada, almost 200 pharmacists have positions within interdisciplinary primary care team settings, including Family Health Teams and Community Health Centers. This article provides a narrative review of the evolving roles of pharmacists working in primary care teams, with a focus on evidence from Ontario, as well as drawing from other jurisdictions around the world. Pharmacists within primary care teams are uniquely positioned to facilitate the expansion of the pharmacist's scope of practice, through a collaborative care model that leverages, integrates, and transforms the medication expertise of pharmacists into a reliable asset and resource for physicians, as well as improves the health outcomes for patients and optimizes healthcare utilization.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.100
GPT teacher head0.447
Teacher spread0.348 · 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