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Record W2095571528 · doi:10.1186/1472-6920-11-46

Developing a curriculum framework for global health in family medicine: emerging principles, competencies, and educational approaches

2011· article· en· W2095571528 on OpenAlexafffundabout
Lynda Redwood‐Campbell, Barry Pakes, Katherine Rouleau, Colla J. MacDonald, Neil Arya, Eva Purkey, Karen Schultz, Reena Dhatt, Briana Wilson, Abdullahel Hadi, Kevin Pottie

Bibliographic record

VenueBMC Medical Education · 2011
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsUniversity of OttawaHamilton Medical Research GroupWestern UniversitySt. Michael's HospitalNOSM UniversityPublic Health OntarioInstitute of Population and Public HealthUniversity of TorontoQueen's UniversityMcMaster University
FundersUniversity of TorontoOntario Ministry of Health and Long-Term CareMcMaster UniversityUniversity of Ottawa
KeywordsCurriculumMedical educationMEDLINEMedicineCurriculum developmentEngineering ethicsPsychologyPedagogyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: Recognizing the growing demand from medical students and residents for more comprehensive global health training, and the paucity of explicit curricula on such issues, global health and curriculum experts from the six Ontario Family Medicine Residency Programs worked together to design a framework for global health curricula in family medicine training programs. METHODS: A working group comprised of global health educators from Ontario's six medical schools conducted a scoping review of global health curricula, competencies, and pedagogical approaches. The working group then hosted a full day meeting, inviting experts in education, clinical care, family medicine and public health, and developed a consensus process and draft framework to design global health curricula. Through a series of weekly teleconferences over the next six months, the framework was revised and used to guide the identification of enabling global health competencies (behaviours, skills and attitudes) for Canadian Family Medicine training. RESULTS: The main outcome was an evidence-informed interactive framework http://globalhealth.ennovativesolution.com/ to provide a shared foundation to guide the design, delivery and evaluation of global health education programs for Ontario's family medicine residency programs. The curriculum framework blended a definition and mission for global health training, core values and principles, global health competencies aligning with the Canadian Medical Education Directives for Specialists (CanMEDS) competencies, and key learning approaches. The framework guided the development of subsequent enabling competencies. CONCLUSIONS: The shared curriculum framework can support the design, delivery and evaluation of global health curriculum in Canada and around the world, lay the foundation for research and development, provide consistency across programmes, and support the creation of learning and evaluation tools to align with the framework. The process used to develop this framework can be applied to other aspects of residency curriculum development.

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)0.040
metaresearch head score (Gemma)0.028
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: none
Teacher disagreement score0.114
Threshold uncertainty score0.270

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0400.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.003
Science and technology studies0.0060.008
Scholarly communication0.0070.005
Open science0.0040.007
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.159
GPT teacher head0.405
Teacher spread0.246 · 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

Citations100
Published2011
Admission routes3
Has abstractyes

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