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Record W2102934712 · doi:10.1177/171516350513800707

Promoting Cardiovascular Health among Older Adults: A Pilot Study with Community Pharmacists

2005· article· en· W2102934712 on OpenAlexvenueno aff
Virginia V. Pora, Barbara Farrell, Janusz Kaczorowski, Larry W. Chambers

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2005
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPharmacistPharmacyMultidisciplinary approachDocumentationMedicineCommunity pharmacyHealth careMedical educationNursingCommunity pharmacist

Abstract

fetched live from OpenAlex

This project enabled us to develop procedures for organizing and running successful pharmacy blood pressure sessions. The knowledge gained from this pilot was used in the multicentred Community Health Awareness Program (CHAP). Running blood pressure sessions in community pharmacies and using a multidisciplinary approach, including volunteer health educators and support from public health, was a feasible way to raise awareness of cardiovascular health among the older adults who participated in our project. This pilot project included pharmacist involvement at several stages, from the planning of the blood pressure sessions and development of the documentation forms, to participation in the pilot and feedback after project completion. With its multidisciplinary approach, the pilot showed that it is feasible for a community pharmacist to be involved in research projects that can benefit patient care and enhance their professional roles.

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)0.009
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0060.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.095
GPT teacher head0.339
Teacher spread0.244 · 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 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

Citations13
Published2005
Admission routes1
Has abstractyes

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