MétaCan
Menu
Back to cohort
Record W4220801262 · doi:10.1002/jppr.1804

Evidence for the development of skills for education, leadership and innovation through experiential‐based foundational pharmacy residency programs: a narrative review

2022· review· en· W4220801262 on OpenAlexaff
Tarik Al‐Diery, Amy Page, Jacinta Johnson, Steven Walker, Diana Sandulache, Kyle John Wilby

Bibliographic record

VenueJournal of Pharmacy Practice and Research · 2022
Typereview
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsDalhousie University
FundersUniversity of Otago
KeywordsMentorshipMedicineExperiential learningMedical educationPharmacyLeadership developmentPharmacy practiceNarrativeGraduation (instrument)PedagogyPsychologyNursingPublic relationsPolitical scienceEngineering

Abstract

fetched live from OpenAlex

Abstract Aim The aim of this narrative literature review was to describe the existing evidence for a post‐graduate experiential learning program, such as a foundational pharmacy residency, to support the competency development for early‐career pharmacists in conducting education, leadership and supporting innovation. Methods We identified publications that addressed research in skills development within foundational pharmacy residency programs. Articles were identified using the databases Scopus and Embase. Results It was found that foundational residency programs have supported competency development in delivering education, leadership and management, and support of innovation and quality improvement. Residency programs have fostered these skills development through the use of courses, assessments and activities, but to varying degrees. Many of these skills are attained as a benefit of inclusion and mentorship in non‐clinical tasks. Conclusion Residency programs can serve as a strong platform for the development of non‐clinical skills in education, leadership and innovation. A mix of activities and course‐specific skills building courses have demonstrated levels of success in developing skills in education, leadership and innovation when implemented.

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)0.016
metaresearch head score (Gemma)0.040
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.920
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.040
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.676
GPT teacher head0.664
Teacher spread0.013 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations10
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pharmacy Practice and ResearchSame topicInnovations in Medical EducationFrench-language works237,207