Roles and Responsibilities: Asking Nurses and Physicians What They Know, Do Not Know and Want to Know about the Other's Profession
Bibliographic record
Abstract
Background: In 2015, an Institute of Medicine (IOM) report acknowledged that interprofessional education (IPE) had focused on academic learning yet had not been well assimilated into clinical practice. The aim of this study was to gather data from practicing clinicians to inform a curriculum that could be integrated into practice environment educational regimens.Methods and Findings: A qualitative description approach was utilized to analyze data gathered via focus groups conducted with practicing nurses and physicians. Participants were asked to describe what they knew, did not know, and wanted to know about each others profession, and what they felt would be the best method of delivery for this information. Findings indicate a lack of understanding of the roles and responsibilities of the other profession and genuine interest in learning more.Conclusions: Integrating IPE into practice environment education is of interest and would be beneficial to healthcare professionals for improving patient care, safety, and professional rapport.
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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 | 0.016 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".