MétaCan
Menu
← Back to cohort
Record W1569715350 · doi:10.25011/cim.v30i4.2765

5. A needs assessment for a CanMEDS-based curriculum in ambulatory care for internal medicine residents in Canada

2007· article· en· W1569715350 on OpenAlexaffvenueabout
Rebecca Wong, S Roff

Bibliographic record

VenueClinical and investigative medicine · 2007
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCurriculumDelphi methodCompendiumMedicineMedical educationAmbulatoryFamily medicinePsychologyInternal medicinePedagogy

Abstract

fetched live from OpenAlex

In Canada, graduates of internal medicine training programs should be proficient in ambulatory medicine and practice. Before determining how to improve education in ambulatory care, a list of desired learning outcomes must be identified and used as the foundation for the design, implementation and evaluation of instructional events. The Delphi technique is a qualitative-research method that uses a series of questionnaires sent to a group of experts with controlled feedback provided by the researchers after each round of questions. A modified Delphi technique was used to determine the competencies required for an ambulatory care curriculum based on the CanMEDS roles. Four groups deemed to be critical stakeholders in residency education were invited to take part in this study: 1. Medical educators and planners, 2. Members of the Canadian Society of Internal Medicine (CSIM), 3. Recent Royal College certificants in internal medicine, 4. Residents currently in core internal medicine residency programs. Panelists were sent questionnaires asking them to rate learning outcomes based on their importance to residency training in ambulatory care. Four hundred and nineteen participants completed the round 1 questionnaire that was comprised of 75 topics identified through a literature search. Using predefined criteria for degree of importance and consensus, 19 items were included in the compendium and 9 were excluded after one round. Forty-two items for which the panel that did not reach consensus, as well as 3 new items suggested by the panel were included in the questionnaire for round 2. Two hundred and forty participants completed the round 2 questionnaire; consensus was reached for each of the 45 items. After two rounds, 21 items were included in the final compendium as very high priority topics (“must be able to”). An additional 26 items were identified as high priority topics (“should be able to”). The overall ratings by each of the four groups were similar and there were no differences between groups that affected the selection of items for the final compendium. To our knowledge this is the first time a Delphi-process has been used to determine the content of an ambulatory care curriculum in internal medicine in Canada. The compendium could potentially be used as the basis to structure training programs in ambulatory care. Barker LR. Curriculum for Ambulatory Care Training in Medical residency: rationale, attitudes and generic proficiencies. J Gen Intern Med 1990; 5(supp.):S3-S14. Levinsky NG. A survey of changes in the proportions of ambulatory training in internal medicine clerkships and residencies from 1986-87 to 1996-97. Acad Med 1998; 73:1114-1115. Linn LS, Brook RH, Clarke VA, Fink A, Kosecoff J. Evaluation of ambulatory care training by graduates of internal medicine residencies. J Med Educ 1986; 61:293-302.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.328
Threshold uncertainty score0.661

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0050.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.088
GPT teacher head0.432
Teacher spread0.344 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2007
Admission routes3
Has abstractyes

Explore more

Same venueClinical and investigative medicine→Same topicInnovations in Medical Education→French-language works237,207→