The role of nurse practitioners in hospital settings: implications for interprofessional practice
Bibliographic record
Abstract
Expansion of the nurse practitioner (NP) role worldwide indicates a need to understand how the role functions in interprofessional healthcare teams. Through the adoption of a mixed methods approach that gathered on-site tracking and observation, self-recorded logs of consultations and focus group interviews of team members and NPs, we describe the extent of role activity and the nature of interprofessional practices of 46 NPs and their team members in nine hospital sites across the province of Ontario, Canada. Findings outline the nature of the NP role activities, which largely focused on providing clinical care, with the support of their team, to a range of patients across the study settings. We discuss how 'embedding' the NP in this way appears to contribute to utilization of expertise of all professions as well as enabling team members to promote evidence-based practices. We argue that the use of NPs augments interprofessional role utilization through their desire to consult with a range of professionals and the capacity to perform holistic care for patients that is not limited to traditional nursing boundaries.
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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 | 0.013 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".