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Record W3004273306 · doi:10.3390/pharmacy8010015

An Authentic, Practice-Based Assessment as a Catalyst for Continuous Professional Development

2020· article· en· W3004273306 on OpenAlexaboutno aff
Sandra Winkelbauer

Bibliographic record

VenuePharmacy · 2020
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsScrutinyCompetence (human resources)PharmacyProfessional developmentContinuing professional developmentPharmacy practiceMedical educationBest practiceQuality assuranceContinuing educationMedicineClinical PracticeProfessional associationPublic relationsNursingEngineering ethicsPsychologyPolitical scienceExternal quality assessmentEngineering

Abstract

fetched live from OpenAlex

Over the last ten years, pharmacy practice has changed significantly in Canada. It is more important than ever to ensure that the profession engages in continuing professional development in order to keep up with changing practice and changing public demand and scrutiny. The question is, how do we ensure that the required continual professional development occurs and is applied to practice? One Canadian regulator, the Ontario College of Pharmacists, has attempted to address this question by assessing the success of a number of quality assurance options in terms of addressing the competence of pharmacists, and by extension their ability to learn and apply their learning in an ongoing manner. This case study presents three policy options; an analysis of those options; and finally, an evaluation of the best option for this regulator. The policy alternatives considered include a continuing education/professional development requirement, standardized simulated assessment (i.e., observed structured clinical examination) and authentic practice-based assessment. For the Ontario College of Pharmacists, an authentic practice-based assessment approach seems effective at stimulating quality improvements in pharmacists' practice, likely because the assessment acts as a catalyst for pharmacists to engage in continuing professional development in order to maintain competence.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.671
Threshold uncertainty score0.656

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.468
Teacher spread0.415 · 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 teacher head, not a consensus.

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

Citations8
Published2020
Admission routes1
Has abstractyes

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