Workshifting – a tool to manage shortage of nurses? A content analysis at a medical ward at a university hospital in Sweden
Bibliographic record
Abstract
Background: Workshifting is a new model for redistributing tasks due to the shortage of health professionals such as registered nurses (RNs). Therefore, this study aim to describe registered nurses' experiences with workshifting in a medical ward at a university hospital in Sweden.Methods: Manifest qualitative content analysis with an inductive approach was used based on seven semi-structured interviews with RNs working in a medical ward at Sahlgrenska University Hospital in Gothenburg, Sweden.Results: One category, communication skills for increased cooperation, and three subcategories, Manage different skills, Changed work content and Lack of holistic nursing, were described. A healthy work environment (reasonable workload, interesting work tasks/content) is an important factor for attracting health professionals such as RNs.Conclusion: Workshifting redistributes tasks to added staff members such as pharmacists and assistant nurses, which decreases the RN workload; however, task-oriented work results in the lack of a holistic view of nursing. Moreover, enlarged teams need well-developed communication arenas to ensure patient safety and efficient work organization.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".