Interprofessional Collaboration Competencies of Nursing Students, Nurse Practitioner Students, and Paramedics in a Simulated Palliative Home Care Setting: A Pilot Study
Bibliographic record
Abstract
Background: Post-secondary institutions do not adequately prepare future professionals to provide quality palliative care. Furthermore, the competencies necessary for interprofessional collaborative practice in home-based palliative care are poorly described in the scientific literature. A palliative care simulation involving standardized patients and paramedics would be a strategy to educate nursing students and nurse practitioner students who have little opportunity to experience interprofessional collaborative palliative care in the home. Objective: Describe the interprofessional competencies of nursing students, nurse practitioner students, and paramedics during a home-based palliative care simulation according to a National Competency Framework. Method: This pilot study is qualitative descriptive. Six nursing students, five nurse practitioner students and three paramedics participated in home palliative care simulations involving standardized patients and completed an interprofessional collaboration competencies rubric. A focus group was held after the simulation. Performances were observed using simulation recording and debriefing and assessed using an interprofessional collaboration competencies rubric. Results: The competencies best mobilized were person-centered care (and family-centered care for the nurse practitioner students and paramedics), as well as interprofessional communication (for the nurse practitioner students). Competencies that need further development are role clarification, teamwork, collaborative leadership (for all three groups), interprofessional conflict resolution (for nurse practitioner students and nursing students), and interprofessional communication (for nursing students and paramedics). Conclusion: This simulation involving standardized patients provides a learning context for mobilizing palliative care interprofessional collaboration competencies at home.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".