MétaCan
Menu
Back to cohort
Record W4386579582 · doi:10.46542/pe.2023.231.514520

Direct evaluation of skills, knowledge and behaviours of pharmacists in the Republic of Ireland

2023· article· en· W4386579582 on OpenAlexfundno aff
Mary‐Claire Kennedy, Catriona Bradley, Richard Arnett

Bibliographic record

VenuePharmacy Education · 2023
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
FundersOntario College of PharmacistsRoyal College of Surgeons in Ireland
KeywordsCompetence (human resources)PharmacyPortfolioUnderpinningMedicinePharmacy practiceContinuing professional developmentMedical educationClinical PracticeContext (archaeology)Clinical pharmacyPharmacistPatient careNursingProfessional developmentPsychology

Abstract

fetched live from OpenAlex

The approach to reviewing Continuing Professional Development (CPD) for pharmacists in Ireland has undergone significant change over the past decade. All registered pharmacists must maintain an electronic portfolio of their CPD, which is reviewed periodically. Patient-facing pharmacists may also be randomly selected to participate in Practice Review. This consists of a clinical knowledge multiple choice question (MCQ) examination (Clinical Knowledge Review (CKR)) and interactions with simulated patients centred on pharmaceutical care cases ((Standardised Pharmacy Interactions (SPIs)). The processes underpinning Practice Review are described and a summary of the performance outcomes of pharmacists since the inception of the review process in 2018 are outlined. To date 310 patient-facing pharmacists have participated in Practice Review with the vast majority demonstrating competence. The significance of these results in the context of assessing competence is considered and the merits and limitations of Practice Review are discussed.

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)0.003
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.718
Threshold uncertainty score0.235

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.067
GPT teacher head0.472
Teacher spread0.405 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venuePharmacy EducationSame topicInnovations in Medical EducationFrench-language works237,207