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Record W4403155103 · doi:10.55890/2452-3011.1057

Tensions in Competence by Design implementation: A qualitative multidisciplinary study to identify factors that promote and impede Entrustable Professional Activity acquisition among faculty and residents at a Canadian university

2024· article· en· W4403155103 on OpenAlexaffabout
Quinten S. Paterson, Sharon E. Card, Benjamin Leis, Lindsey Broberg, Stéphanie Beckett, Tanya Robertson-Frey, Nina Gao, Brian Ulmer, Lynsey J. Martin

Bibliographic record

VenueHealth Professions Education · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Learning and Leadership
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMultidisciplinary approachCompetence (human resources)Qualitative researchMedical educationPsychologyMultidisciplinary teamMedicineNursingSocial psychologyPolitical scienceSociology

Abstract

fetched live from OpenAlex

Purpose. The purpose of this qualitative study was to explore residents’ and faculty’s experiences with EPAs to identify barriers and facilitators to EPA acquisition. This supported the subsequent development of recommendations for residents and faculty, residency program leadership, and institution to ensure that residents’ training and Competence Committee promotional decisions are optimized. Method. The authors conducted a qualitative study utilizing grounded theory and quality improvement research methods with residents and faculty from various specialties at a Canadian University. Through the utilization of a process mapping exercise, an interactive fishbone diagram exercise, and semi-structured focus groups, barriers and facilitators to EPA acquisition were identified and then thematically analyzed using a constant comparative technique, thereby generating a final codebook of results. Results. Six residents and six faculty from eight specialties participated. Two resident focus groups and one individual resident interview generated 2 hours and 36 minutes of audio-recorded data and 43 pages of transcribed data. Two faculty focus groups generated 1 hour and 44 minutes of audio-recorded data and 33 pages of transcribed data. Four primary categories for EPA barriers and facilitators were pre-defined according to the fishbone diagram. Fifteen themes of barriers and fifteen themes of facilitators, with varying degrees of subthemes, were inductively identified through the coding process. Discussion. This study found that the barriers residents and faculty face during EPA acquisition are similar to the challenges previously described in the pre-CBD assessment literature, suggesting that simply changing the assessment paradigm and modality will not necessarily alleviate pre-existing challenges to the assessment process or automatically improve assessment quality. Based on the results, a list of recommendations was generated as a starting point for change and improvement at a resident and faculty level, residency program leadership level, and institutional level.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.189
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.095
GPT teacher head0.431
Teacher spread0.336 · 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 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
Published2024
Admission routes2
Has abstractyes

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