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Record W4412043859 · doi:10.1002/jac5.70073

Prioritizing competencies for interprofessional education: Expert insights for local and institutional implementation

2025· article· en· W4412043859 on OpenAlex
Geneviève Gauthier, Geneviève Mignault Goulet, Pierre Giguère, Pierre Moreau, Christine Landry

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY · 2025
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsChildren's Hospital of Eastern OntarioOttawa HospitalMontfort HospitalUniversity of Ottawa
Fundersnot available
KeywordsInterprofessional educationMedical educationKnowledge managementComputer scienceMedicinePolitical scienceHealth care

Abstract

fetched live from OpenAlex

Abstract Introduction Interprofessional education (IPE) is essential for fostering collaboration among health care professionals, yet its implementation in academic settings faces significant challenges. To facilitate stakeholder engagement in adapting a competency framework at the institutional level, we used Barr's categorization model to prioritize key collaborative competencies. This study explored expert perspectives on competency selection to inform the development of an IPE curriculum tailored to institutional needs. Method A modified Delphi method was employed to collect input from a diverse panel of 26 health care professionals with expertise in teaching, precepting, and curriculum development. Panel members prioritized 40 competencies from the Canadian Interprofessional Health Collaborative framework, identifying those that should be emphasized as core collaborative competencies for guiding the development of local IPE curricula. The process unfolded over three rounds, allowing experts to refine their responses based on group feedback. Results The study identified 26 core competencies for inclusion in the IPE curriculum. Despite a high consensus rate, comments and narrative feedback highlighted the importance of ensuring foundational knowledge is developed in uniprofessional programs before transitioning to interprofessional settings. Experts emphasized the need for holistic competency frameworks and noted challenges in sequencing, teachability, and assessment, particularly for competencies requiring experiential learning, such as conflict resolution and trust‐building. Conclusion This paper outlines the development of a shared institutional competency framework, emphasizing instructors' priorities and concerns in creating an IPE curriculum across health‐related programs at a bilingual university. The findings suggest that Barr's competency categorization is most effective when applied holistically, as isolating core IPE competencies can lead to confusion and misalignment with uniprofessional curricula. Moving forward, institutional support and active engagement with workplace learning stakeholders will be essential for successful implementation and long‐term sustainability.

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.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.081
GPT teacher head0.579
Teacher spread0.498 · 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