MétaCan
Menu
Back to cohort
Record W2125674262 · doi:10.1080/01421590410001711607

Multi-professional education in diabetes

2004· article· en· W2125674262 on OpenAlexaff
Rodney Crutcher, Karen L. Then, Alun Edwards, Kathy Taylor, Peter Norton

Bibliographic record

VenueMedical Teacher · 2004
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMultivariate analysis of variancePharmacyTest (biology)Repeated measures designWilcoxon signed-rank testPerceptionMedicineProfessional developmentMedical educationNursingAnalysis of variancePsychologyFamily medicineMann–Whitney U test

Abstract

fetched live from OpenAlex

Multi-professional education (MPE) is a forward-looking educational strategy that is both innovative and clinically needed. The primary goal of this program was to assess the potential of MPE in diabetes care. Objectives included knowledge increase in type 2 diabetes care and examining the effect of uni-professional versus multi-professional small groups on learning outcomes. A total of 61 baccalaureate nursing students, four pharmacy students and 56 family practice residents participated in a half-day program. Participants were randomly assigned to multi-versus uni-professional groups. A questionnaire assessing knowledge, attitudes and perceived role responsibilities was anonymously completed in a pre-test/post-test manner. The program was delivered in two sessions that combined larger and small group activities. Quantitative data were analyzed using repeated measures Anova/Manova, Wilcoxon signed rank and Pearson chi-square tests. Participants and educators showed interest in multi-professional education. While no change in knowledge was found, moderate changes in attitudes (with a lessening of attitudinal differences) and significant changes in perceptions of role (from uni-professional responsibility to shared responsibilities) were noted. Nurses in uni-professional groups demonstrated the greatest attitudinal and role perception changes. The contribution of the patient as teacher was prominent. Further exploration and rigorous analysis of the utility of MPE in diverse settings is warranted.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.001

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 head0.030
GPT teacher head0.475
Teacher spread0.445 · 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 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

Citations21
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueMedical TeacherSame topicInterprofessional Education and CollaborationFrench-language works237,207