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Record W2066480415 · doi:10.3109/13561820.2013.829425

Exposure and attitudes toward interprofessional teams: a three-year prospective study of longitudinal integrated clerkship versus rotation-based clerkship students

2013· article· en· W2066480415 on OpenAlexaffabout
Douglas Myhre, Wayne Woloschuk, Jeanette Somlak Pedersen

Bibliographic record

VenueJournal of Interprofessional Care · 2013
Typearticle
Languageen
FieldHealth Professions
TopicInterprofessional Education and Collaboration
Canadian institutionsHealth Sciences CentreUniversity of Calgary
Fundersnot available
KeywordsClinical clerkshipMedical educationMedicineLongitudinal studyMedical schoolPsychologyFamily medicineCurriculumPedagogy

Abstract

fetched live from OpenAlex

This study explored exposure to, and attitudes toward, interprofessional (IP) teams between third-year longitudinal integrated clerkship (LIC) and traditional rotation-based clerkship (RBC) students at the University of Calgary medical school. Students completed a survey pre-post 32-week LIC or 6-week rural, regional or urban RBC family medicine rotations. Pre and post rotation surveys were completed by 213 (48%) students (LIC = 33/34; rural = 76/152; regional = 24/46; urban = 80/208). More LIC students (76%) reported participating on six or more IP teams than RBC students (rural = 38%; regional = 25%; urban = 21%). At pre rotation, the mean attitude to IP teams score of LIC and rural RBC students was high and did not differ. At post rotation, the mean attitude score of LIC students was significantly greater than the mean reported by rural RBC students. Only LIC students reported a significant pre-post rotation increase in attitude. Exposure to IP teams, possibly facilitated by a longer duration of rotation, appears to be an important factor in affecting attitude to IP teams.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.430
Teacher spread0.391 · 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.

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

Citations19
Published2013
Admission routes2
Has abstractyes

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