Nursing practice issues in Jordan: student‐suggested causes and solutions
Bibliographic record
Abstract
BACKGROUND: The causes of the worldwide shortage of registered nurses are complex and require a multifaceted approach to the solution. It is imperative that issues of the practice environment are addressed because creating quality practice environments is essential to provide high-quality care and to persuade nurses to remain in practice. AIMS: The aims of this paper are to describe an international collaborative relationship, and to identify, describe and suggest solutions to three nursing practice issues relevant to Jordanian nursing. METHOD: Two faculty members, one from Jordan and one from Canada, collaborated via e-mail to develop a fourth-year course on nursing leadership and management, which was then jointly taught by them. A student assignment required students, working in groups, to identify a nursing practice issue in Jordan and suggest contributing causes and solutions. CONCLUSION: The issues identified by the students were: unclear role expectations, burnout and turnover, all of which were viewed as contributing to problematic practice settings. The students suggested possible solutions to the practice environment issues.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".