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Record W2130413755 · doi:10.4212/cjhp.v59i1.214

Entry-Level Doctor of Pharmacy Program: The Canadian Debate

2006· article· en· W2130413755 on OpenAlexaffvenueabout
K.W. Hindmarsh

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2006
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPharmacyMandateCurriculumHealth careMedical educationMedicinePharmacy practiceQuality (philosophy)NursingPolitical sciencePsychologyPedagogy

Abstract

fetched live from OpenAlex

The possible development and implementation of entry-level doctor of pharmacy programs (also known as “entry-level PharmD” or ELPD programs) within Canada’s academic institutions is being vigorously debated. While some think that this shift is inevitable, others are more cautious. The mandate of our pharmacy educational institutions is to provide a high-quality education that produces graduates who can meet the pharmacy-related health care needs of patients. Our current programs do produce excellent graduates, yet we are being asked to make changes in our curricula that would allow graduates to take on a greater role in direct patient care. At a recent symposium, Canadian pharmacy leaders agreed that some modification of the current university curricula should occur. Interestingly, some participants indicated that perhaps the educational changes necessary would lead to a master’s degree. However, others emphasized that the doctor of pharmacy degree has already been established, and introducing another designation for the degree might further cloud the issue. 1 With the introduction of family health care teams, the increasing use of technology, changes in demographics, and the development of patient safety initiatives, pharmacists will be more responsible for patient care as integrated members of the health care team and will be more accountable for drug outcomes, but our current curricula (1 year of arts and sciences courses and 4 years of pharmacy) are confining and may inhibit pharmacists from meeting these increased expectations. A number of important basic science courses that our students are offered need to become prerequisites to allow the flexibility for the anticipated changes in pharmacy practice. This could mean that students would take 2 years of arts and science courses before entering the pharmacy program. However, such a change in the program would not decrease the number of graduates or the time to completion of a degree. Rather, students would enter pharmacy after receiving more basic science training, similar to what happens in dentistry and medicine. At the same time it would be prudent to develop programs allowing practitioners to upgrade if they so wished and to continue to offer programs for specialty training (such as fellowships and residencies). Do all pharmacy students need to undertake an ELPD program? Probably not, at least not in the near future. However, the option should be available, given that we are educating students to work in a global environment. If we don’t start offering this type of program, whether we agree or disagree with this educational approach, our graduates will have difficulty practising in other parts of the world, as our accreditation standards will not be recognized. Canada may be better served by admitting a small number of students into ELPD programs while still maintaining the bachelor-level programs, an approach that would give us the opportunity to monitor the success of newly trained graduates, their capabilities as “change agents”, and their ability to meet future challenges. In the United States, new standards for accreditation for ELPD programs came into effect on July 1, 2000, and schools had until June 30, 2005, to comply with the new standards. Although many wonder

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)0.032
metaresearch head score (Gemma)0.066
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: none
Teacher disagreement score0.789
Threshold uncertainty score0.915

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.066
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.007
Science and technology studies0.0300.016
Scholarly communication0.0160.008
Open science0.0080.007
Research integrity0.0220.027
Insufficient payload (model declined to judge)0.0250.002

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 head0.112
GPT teacher head0.385
Teacher spread0.273 · 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

Citations0
Published2006
Admission routes3
Has abstractyes

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