Student Perspective on a Predoctoral Interprofessional Education Initiative
Bibliographic record
Abstract
Objective- The purpose of this study was to investigate students' perspectives on a newly implemented program of Interprofessional education (IPE) in terms of its effectiveness in increasing the awareness about other health care professionals and providing tools to emerging dental professionals for comprehensive health care needs. Methods- A new IPE course was incorporated in the second year of the predoctoral dental curriculum, and educators and students from various health professionals came together to provide a collaborative learning environment. The study evaluated the survey data from the graduating classes of 2019 and 2020 in the predoctoral program at Harvard School of Dental Medicine. The students were surveyed during and at the end of the course to obtain their perspectives on the effectiveness of the program. Result-The results of the surveys showed most student respondents agreed strongly that they liked getting information from other health professionals and 93-95% agreed that collaborating with other members of the health care team can help facilitate patients' overall health care. The IPE sessions helped bring about awareness of interprofessional relations and communications within the health care team and prepared the students for holistic patient care. Conclusion- The IPE methods facilitated an interactive and interprofessional learning environment to assist students in developing awareness of interprofessional relations and communications within the health care team. The connections between oral and systemic health were reinforced, thus giving predoctoral dental students a wider view of patient treatment and consideration for their patients’ comprehensive health care needs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".