MétaCan
Menu
Back to cohort
Record W2954602164 · doi:10.1007/s11606-019-05124-1

Education Indicators for Internal Medicine Point-of-Care Ultrasound: a Consensus Report from the Canadian Internal Medicine Ultrasound (CIMUS) Group

2019· article· en· W2954602164 on OpenAlexaffabout
Anshula Ambasta, Marko Balan, Michaël Mayette, Alberto Goffi, Sharon L. Mulvagh, Brian Buchanan, Steven J. Montague, Shannon M. Ruzycki, Irene Ma

Bibliographic record

VenueJournal of General Internal Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicUltrasound in Clinical Applications
Canadian institutionsUniversity of TorontoDalhousie UniversityUniversity of AlbertaQueen's UniversityUniversité de SherbrookeUniversity of Calgary
Fundersnot available
KeywordsMedicineCurriculumGraduate medical educationVotingMedical educationNominal group techniqueMEDLINEQuality (philosophy)SpecialtyFamily medicineKnowledge managementPsychologyAccreditation

Abstract

fetched live from OpenAlex

BACKGROUND: Curriculum development and implementation for internal medicine point-of-care ultrasound (IM POCUS) continues to be a challenge for many residency training programs. Education indicators may provide a useful framework to support curriculum development and implementation efforts across programs in order to achieve a consistent high-quality educational experience. OBJECTIVE: This study seeks to establish consensus-based recommendations for education indicators for IM POCUS training programs in Canada. DESIGN: This consensus study uses a modified nominal group technique for voting in the initial round, followed by two additional rounds of online voting, with consensus defined as agreement by at least 80% of the participants. PARTICIPANTS: Participants were 22 leaders with POCUS and/or education expertise from 13 Canadian internal medicine residency programs across 7 provinces. MAIN MEASURES: Education indicators considered were those that related to aspects of the POCUS educational system, could be presented by a single statistical measure, were readily understood, could be reliably measured to provide a benchmark for measuring change, and represented a policy issue. We excluded a priori indicators with low feasibility, are impractical, or assess learner reactions. Candidate indicators were drafted by two academic internists with post-graduate training in POCUS and medical education. These indicators were reviewed by two internists with training in quality improvement prior to presentation to the expert participants. KEY RESULTS: Of the 52 candidate education indicators considered, 6 reached consensus in the first round, 12 in the second, and 4 in the third round. Only 5 indicators reached consensus to be excluded; the remaining indicators did not reach consensus. CONCLUSIONS: The Canadian Internal Medicine Ultrasound (CIMUS) group recommends 22 education indicators be used to guide and monitor internal medicine POCUS curriculum development efforts in Canada.

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)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.025
GPT teacher head0.353
Teacher spread0.327 · 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
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

Citations34
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueJournal of General Internal MedicineSame topicUltrasound in Clinical ApplicationsFrench-language works237,207