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Record W3187377484 · doi:10.1111/obr.13329

Undergraduate medical education interventions aimed at managing patients with obesity: A systematic review of educational effectiveness

2021· review· en· W3187377484 on OpenAlexaff
Nathan J. Katz, Emma Neary, Natasha Tang, Heather Braund, Nicholas Cofie, Boris Zevin

Bibliographic record

VenueObesity Reviews · 2021
Typereview
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsQueen's University
Fundersnot available
KeywordsPsychological interventionMedicineCurriculumCritical appraisalMedical educationWeight managementManagement of obesityObesityMEDLINESystematic reviewFamily medicineAlternative medicinePsychologyOverweightNursingPedagogyPathologyWeight loss

Abstract

fetched live from OpenAlex

The growing obesity epidemic requires an evidence-based approach to management of patients with obesity. Two systematic reviews on obesity-management interventions in undergraduate medical education, both published in 2012, reported discrepant findings. This study aimed to build on previous research by identifying, systematically reviewing, and synthesizing current literature on the effectiveness of educational interventions aimed at teaching management of patients with obesity to medical students. A comprehensive search of seven databases was performed with no date or language restrictions. Database search identified 6462 studies; 5373 were screened against title and abstract, 156 full-text articles were retrieved, 31 met eligibility criteria, and 17 were included after critical appraisal of study methodology. Nine cohort-studies, three qualitative, two case-controls, two mixed-methods, and one randomized controlled trial were included. Findings supported the educational effectiveness of brief (<3 h) educational interventions, the value of video-clips to deliver content, and the importance of in-person teaching. Findings also demonstrated an increase in the number of studies describing educational interventions aimed at teaching management of patients with obesity to medical students. These results can be used by medical educators to inform the design of educationally effective curricula focused on the management of patients with obesity in undergraduate medical education.

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)0.009
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.359
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0080.002
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.003

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 head0.502
Teacher spread0.414 · 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

Citations13
Published2021
Admission routes1
Has abstractyes

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