The Nurse Practitioner Role in Oncology: Advancing Patient Care
Bibliographic record
Abstract
PURPOSE/OBJECTIVES: To explore and describe the characteristics of the nurse practitioner (NP) role in cancer care in a Canadian province, identify the ways in which NPs add value to cancer care, and suggest ways in which organizations can better support the NP role. . RESEARCH APPROACH: Exploratory, qualitative design. . SETTING: Three cancer care facilities in a western Canadian province. . PARTICIPANTS: 12 NPs in cancer care, 12 physicians working with NPs, and 5 administrators responsible for implementing the role. . METHODOLOGIC APPROACH: Interpretive description, a qualitative method aimed at systematically exploring and analyzing a topic and applying the findings back into practice. . FINDINGS: Each group had a different perspective on the role and its value. Physicians regarded these high-level practitioners as "help" within their own practices. Administrators tended to use NPs to manage patient workload within the traditional physician-focused system, but they could see value in NP-led innovation. The NPs themselves envisioned a nontraditional, holistic, patient-centered approach to care that challenged the interventionist focus of the medical model. Suggestions for enhancing the potential of the role were offered by all groups. . CONCLUSIONS: Lack of clarity about the NP role persists. Traditional professional hierarchies and expectations about care delivery continue to affect role implementation. . INTERPRETATION: Nursing leaders must be proactive about NP role implementation to maximize its potential. Additional research is needed about the outcomes of the role and the process of implementation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".