Optimizing nursing scope of practice within a primary health care context: linking role accountabilities to health outcomes
Bibliographic record
Abstract
With the increasing focus on collaborative, interprofessional models of service delivery in many parts of the world, it is crucial that nurses be able to demonstrate confidence in the value they add to the health system. As the largest group of health professionals, nurses must serve as change agents in strengthening health systems and influencing the development of appropriate health policy. This requires that nurses have a solid understanding of what is their unique role in contributing to attainment of desired health outcomes in the populations they serve. In this article, the role of nurses in health care is reviewed, with commentary on some areas in which nurses are currently underutilized in health care delivery, whether employed in community or institutional settings. Data from research conducted in Canada suggest that nurses have a tendency to define themselves by the tasks or activities they perform and seem unable to clearly articulate their special role in health care. Strong leadership and a willingness by nurses to re-orient their practice will be required to ensure that the potential for harnessing the knowledge, experience, capabilities and commitment of nurses in advancing health care reform shifts from rhetoric to reality.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".