Integrating interprofessional education in community-based learning activities: Case study
Bibliographic record
Abstract
Faculty of Medicine/Suez Canal University (FOM/SCU) students are exposed to clinical practice in primary care settings within the community, in which they encounter patients and begin to work within interprofessional health teams. However, there is no planned curricular interaction with learners from other professions at the learning sites. As in other schools, FOM/SCU faces major challenges with the coordination of community-based education (CBE) program, which include the complexity of the design required for Interprofessional Education (IPE) as well as the attitudinal barriers between professions. The aim of the present review is to: (i) describe how far CBE activities match the requirements of IPE, (ii) explore opinions of graduates about the effectiveness of IPE activities, and (iii) present recommendations for improvement. Graduates find the overall outcome of their IPE satisfactory and believe that it produces physicians who are familiar with the roles of other professions and can work in synergy for the sake of better patient care. However, either a specific IPE complete module needs to be developed or more IPE specific objectives need to be added to current modules. Moreover, coordination with stakeholders from other health profession education institutes needs to be maximized to achieve more effective IPE.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.005 |
| Insufficient payload (model declined to judge) | 0.022 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".