The development of a Swedish Nurse Practitioner Program – a request from clinicians and a process supported by US experience
Bibliographic record
Abstract
High nursing turnover and a shortage of nurses in acute hospital settings in Sweden challenge health care systems to deliver and ensure safe care. Advanced nursing roles implemented in other countries have offered nurses new career opportunities and had positive effects on patient safety, effectiveness of care, and patient satisfaction. The advanced nursing position of Nurse Practitioner has existed for many years in the United States, while similar extended nursing roles and changes in the scope of nursing practice are being developed in many other countries. In line with this international trend, the role of Nurse Practitioner in surgical care has been proposed for Sweden, and a master’s programme for Acute Nurse Practitioners has been in development for many years. To optimize and facilitate the introduction of this new nursing role and its supporting programme, we elicited the experiences and support of the group who developed a Nurse Practitioner programme for a university in the US. This paper describes this collaboration and sharing of experiences during the process of developing a Swedish Nurse Practitioner programme. We also discuss the challenges of implement- ting any new nursing role in any national health care system. We would like to share our collaborative experiences and thoughts for the future and to open further national and international dialogue about how best to expand the scope of practice for nurses in acute hospital care, and thereby to improve patient care in Sweden and elsewhere.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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".