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Record W4396514073 · doi:10.1080/10401334.2024.2340977

Culinary Medicine Experiences for Medical Students and Residents in the U.S. and Canada: A Scoping Review

2024· review· en· W4396514073 on OpenAlexaboutno aff
Caitlin A. Hildebrand, Meghana B. Patel, Alyssa B. Tenney, Julia A. Logan, Khanh H. Luong, Miranda Crouch, Amanda E. Osta, Courtney DeRoo, Kurt O. Gilliland, Timothy S. Harlan, Alice S. Ammerman

Bibliographic record

VenueTeaching and Learning in Medicine · 2024
Typereview
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsnot available
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute on AgingUniversity of North Carolina at Chapel HillNational Center for Chronic Disease Prevention and Health PromotionAgency for Healthcare Research and Quality
KeywordsExperiential learningMedicineMedical educationAlternative medicineFamily medicinePsychologyPedagogyPathology

Abstract

fetched live from OpenAlex

PHENOMENON: Despite the importance of diet in the prevention and management of many common chronic diseases, nutrition training in medicine is largely inadequate in medical school and residency. The emerging field of culinary medicine offers an experiential nutrition learning approach with the potential to address the need for improved nutrition training of physicians. Exploring this innovative nutrition training strategy, this scoping review describes the nature of culinary medicine experiences for medical students and resident physicians, their impact on the medical trainees, and barriers and facilitators to their implementation. APPROACH: This scoping review used the Joanna Briggs Institute methodology for scoping reviews and the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Reviews (PRISMA-ScR) checklist as guides. Eligible publications described the nature, impact, facilitators, and/or barriers of nutrition and food preparation learning experiences for medical students and/or residents. Additional inclusion criteria were location (U.S. or Canada), allopathic or osteopathic, English, human subjects, and publication year (2002 or later). The search strategy included 4 electronic databases. Two reviewers independently screened titles/abstracts and a third reviewer resolved discrepancies. The full-text review consisted of 2 independent reviews with discrepancies resolved by a third reviewer or by consensus if needed, and the research team extracted data from the included articles based on the nature, impact, barriers, and facilitators of culinary medicine experiences for medical trainees. FINDINGS: The publication search resulted in 100 publications describing 116 experiences from 70 institutions. Thirty-seven publications described pilot experiences. Elective/extracurricular and medical student experiences were more common than required and resident experiences, respectively. Experiences varied in logistics, instruction, and curricula. Common themes of tailored culinary medicine experiences included community engagement/service-based learning, interprofessional education, attention to social determinants of health, trainee well-being, and cultural considerations. Program evaluations commonly reported the outcome of experiences on participant attitudes, knowledge, skills, confidence, and behaviors. Frequent barriers to implementation included time, faculty, cost/funding, kitchen space, and institutional support while common facilitators of experiences included funding/donations, collaboratives and partnerships, teaching kitchen access, faculty and institutional support, and trainee advocacy. INSIGHTS: Culinary medicine is an innovative approach to address the need and increased demand for improved nutrition training in medicine. The findings from this review can guide medical education stakeholders interested in developing or modifying culinary medicine experiences. Despite barriers to implementation, culinary medicine experiences can be offered in a variety of ways during undergraduate and graduate medical education and can be creatively designed to fulfill some accreditation standards.

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)0.036
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.388
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0360.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.007
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 head0.167
GPT teacher head0.591
Teacher spread0.424 · 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; both teacher heads agree on what is shown here.

Study designSystematic review
Domainnot available
GenreReview

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

Citations8
Published2024
Admission routes1
Has abstractyes

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