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Record W2465422800 · doi:10.9778/cmajo.20150127

Developing Canadian oncology education goals and objectives for medical students: a national modified Delphi study

2016· article· en· W2465422800 on OpenAlexaffvenueabout
Vincent C. Tam, Paris‐Ann Ingledew, Scott Berry, Sunil Verma, Meredith Giuliani

Bibliographic record

VenueCMAJ Open · 2016
Typearticle
Languageen
FieldMedicine
TopicAdvances in Oncology and Radiotherapy
Canadian institutionsPrincess Margaret Cancer CentreUniversity of the Fraser ValleyUniversity of CalgaryUniversity of British ColumbiaSunnybrook Health Science Centre
Fundersnot available
KeywordsLikert scaleInclusion (mineral)Delphi methodCurriculumMedical educationInternal medicineMedicineDelphiOncologyFamily medicinePsychologyPedagogy

Abstract

fetched live from OpenAlex

BACKGROUND: Studies have shown that there is a deficiency in focused oncology teaching during medical school in Canada. This study aimed to develop oncology education goals and objectives for medical students through consensus of oncology educators from across Canada. METHODS: In 2014 we created a comprehensive list of oncology education objectives using existing resources. Experts in oncology education and undergraduate medical education from all 17 Canadian medical schools were invited to participate in a 3-round modified Delphi process. In round 1, the participants scored the objectives on a 9-point Likert scale according to the degree to which they agreed an objective should be taught to medical students. Objectives with a mean score of 7.0 or greater were retained, those with a mean score of 1.0-3.9 were excluded, and those with a mean score of 4.0-6.9 were discussed at a round 2 Web meeting. In round 3, the participants voted on inclusion and exclusion of the round 2 objectives. RESULTS: Thirty-four (92%) of the 37 invited oncology educators, representing 14 medical schools, participated in the study. They included oncologists, family physicians, members of undergraduate medical education curriculum committees and a psychologist. Of the 214 objectives reviewed in round 1, 146 received a mean score of 7.0 or greater, and 68 were scored 4.0-6.9; no objective received a mean score below 4.0. Nine new objectives were suggested. The main themes of participants' comments were to minimize the number of objectives and to aim objectives at the knowledge level required for family physicians. In round 2, the participants were able to combine 28 of the objectives with other existing objectives. In round 3, 7 of the 49 objectives received consensus of at least 75% for inclusion. The final Canadian Oncology Goals and Objectives for Medical Students contained 10 goals and 153 objectives. INTERPRETATION: Through a systematic process, we created a comprehensive, consensus-based set of oncology goals and objectives to facilitate the design of undergraduate medical education curricula and improve oncology education for medical students.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.567
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.053
GPT teacher head0.499
Teacher spread0.446 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations16
Published2016
Admission routes3
Has abstractyes

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