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Record W2336843255 · doi:10.3946/kjme.2016.20

Program director and resident perspectives of a competency-based medical education anesthesia residency program in Canada: a needs assessment

2016· article· en· W2336843255 on OpenAlexafffundabout
Sylvain Boet, Ashlee-Ann Pigford, Viren N. Naik

Bibliographic record

VenueKorean journal of medical education · 2016
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsAnesthesiologyMedical educationMedicineProgram directorPsychologyAnesthesia

Abstract

fetched live from OpenAlex

PURPOSE: In July 2015, the University of Ottawa introduced a competency-based medical education (CBME) postgraduate program for anesthesia. Prior to program implementation, this study aimed to identify Canadian anesthesiology program directors perceptions of CBME and residents' opinion on how the program should be designed and perceived consequences of CBME. METHODS: This two-phase, qualitative study included semi-structured interviews with Canadian anesthesia program directors (Phase I) and a focus group interview with residents enrolled in the University of Ottawa time-based anesthesia program (Phase II). Both phases sought to gauge participant's perceptions of CBME. Interviews were recorded, transcribed verbatim and thematically analyzed. RESULTS: Data was combined to protect anonymity of the six participants (three program directors and three residents). Participants spoke about the perceived advantages of CBME, the need to establish definitions, and challenges to a CBME program highlighting logistical factors, implications for trainees and the role assessment plays in CBME. CONCLUSION: These findings will inform CBME implementation strategies in anesthesia programs across the country, and may assist other residency programs in the design of their programs. Furthermore, our findings may help identify potential challenges and issues that other postgraduate specialties may face as they transition to a CBME model.

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)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.792
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.348
Teacher spread0.339 · 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

Citations30
Published2016
Admission routes3
Has abstractyes

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