Evaluating the implementation of the Nurse Practitioner role within Canada’s National Ballet School
Bibliographic record
Abstract
Aim: To evaluate the implementation of a nurse practitioner role within Canada’s National Ballet School (NBS) and evaluate the comfort level of student access care. Background: NBS is an internationally recognized professional ballet and academic program, with approximately 60% of their students living in residence. Until Fall 2020 there was no onsite regular primary care services. A family physician visited weekly to see residence students only. NBS recognized the need to provide more comprehensive primary care services to the students, as elite dancers may experience additional healthcare issues such as dance related injuries, nutritional issues and body dissatisfaction. The role of a nurse practitioner was implemented in Fall 2020. Methods: Utilizing a descriptive quantitative, multiple group design, a survey was distributed to participants. Participants included full-time students, parents and student-facing staff at the school. The study took place between July and August 2022. Findings: Participants included students (n=27), parents (n=22) and staff (n=20). Participants noted the positive impacts of having a nurse practitioner at the school, however students also noted some barriers. Four themes emerged regarding the role of the NP and comfort of students accessing care, including (1) Access to care; (2) Confidentiality and trust; (3) Increased support; and (4) Primary care. Conclusion: The role of the nurse practitioner was successfully implemented within the NBS. The evaluation demonstrated the nurse practitioner provided improved access to services and increased support. While most staff and parents understood the scope of practice of the nurse practitioner, not all students did.
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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 | 0.027 | 0.032 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".