Articulating new outcomes of nurse practitioner practice
Bibliographic record
Abstract
PURPOSE: The purpose of this article is to describe how two mid-range theories, Kolkaba's Comfort Theory and Antonovsky's Sense of Coherence can be used to illuminate the holistic nature of nurse practitioner (NP) practice. DATA SOURCES: Original research and theoretical papers related to both theories described. CONCLUSIONS: The NP role has been in existence for more than 40 years and can be found in healthcare systems in more than 60 countries around the world. Increasingly, NPs are assuming responsibility for providing primary health care to people with complex care needs. Although researchers have consistently demonstrated the NPs provide safe, effective care, and patients are satisfied with that care, theories demonstrating the holistic nature of NP practice are less evident. IMPLICATIONS FOR PRACTICE: Comfort Theory and Sense of Coherence can be used to demonstrate how the holistic nature of NP care results in patient-centered outcomes.
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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 | 0.036 | 0.121 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.013 | 0.017 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".