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Record W835699356 · doi:10.1177/1715163515581342

CPhA National Survey

2015· article· fr· W835699356 on OpenAlexaffvenueabout
Glen Doucet

Bibliographic record

VenueCanadian Pharmacists Journal / Revue des Pharmaciens du Canada · 2015
Typearticle
Languagefr
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsCanadian Pharmacists Association
Fundersnot available
KeywordsMedicinePolitical scienceEnvironmental health

Abstract

fetched live from OpenAlex

For Pharmacist Awareness Month 2015, the Canadian Pharmacists Association (CPhA) commissioned a national survey to determine Canadians’ perceptions and attitudes toward pharmacists and the range of health care services they provide. The survey, conducted by Abacus Data from February 14 to 22, 2015, with a sample of 2937 Canadians, yielded a range of positive results, demonstrating the high level of trust and confidence Canadians place in pharmacists. The number and scope of services that pharmacists can provide to patients has increased significantly over the past several years, and the survey results demonstrate that Canadians continue to support these expanded services. A large majority of Canadians trust pharmacists to provide advice on vaccinations (88%), the management of chronic conditions (88%), healthy lifestyle changes such as smoking cessation and weight loss (91%) and the management of common ailments like the cold or flu (94%). This high level of trust reflects the expanding role pharmacists are undertaking—and being recognized for—in the delivery of health care in Canada. Canadians not only trust pharmacists to provide a range of health care services, but according to the survey results, they are also very likely to use them. When asked whether or not they would consider going to their pharmacist to receive health care services, a majority indicated that they would consider going to their pharmacist for a flu shot or other vaccine (79%), for advice on medications (89%), for an appointment to review and discuss medications (82%), for smoking cessation advice (75%), for prescribing medications for minor health conditions (78%), for screening for medical conditions such as diabetes (66%) and for advice on the management of chronic disease such as diabetes or hypertension (69%). Canadians also make the connection between an expanded role for pharmacists and better health outcomes. Ninety-six percent of respondents had a positive impression of pharmacists, and 82% believed that pharmacists play a central or important role in the delivery of health care. Most Canadians agree that expanding the role of pharmacists would improve patients’ overall quality of life (82%), reduce overcrowding in emergency rooms and walk-in clinics (85%) and reduce overall health care costs (79%). Canadians clearly agree that the health care system would be improved by further enhancing the role of pharmacists in the delivery of health care services. Pharmacist Awareness Month is an opportunity to celebrate pharmacists and educate Canadians on the contribution that pharmacists make in the delivery of quality health care. The tagline for 2015, “Pharmacists: Trusted Care When and Where You Need It,” conveys the message that pharmacists are not only trusted leaders in the provision of frontline care but, as one of the most accessible health care providers in Canada, are able to provide quality care conveniently and quickly—a message that is clearly demonstrated in these survey results. More information about the survey, including province-specific results, can be located on the Pharmacist Awareness Month website at www.pharmacists.ca/pam.■

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)0.008
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: none
Teacher disagreement score0.208
Threshold uncertainty score0.418

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.009
Science and technology studies0.0030.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0510.024

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 head0.351
GPT teacher head0.411
Teacher spread0.059 · 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

Citations5
Published2015
Admission routes3
Has abstractyes

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