Nursing Student Perceptions of Nurse-to-Nurse Collaboration in Dedicated Education Units and in Traditional Clinical Instruction Units
Bibliographic record
Abstract
Changes within the health care system have created opportunities for emerging models of care delivery, including collaborative nursing teams. Collaboration between RNs and interprofessional teams supports improved care delivery outcomes. One promising strategy to enhance collaboration is the use of dedicated education units, which are academic-clinical partnerships that facilitate nursing student learning. This descriptive, quantitative study described and compared perceptions of nursing students about nurse-to-nurse collaboration witnessed in dedicated education units and traditional clinical units. Data gathered with the Nurse-to-Nurse Collaboration Scale (NNCS) were analyzed using descriptive statistics and t tests. Findings demonstrate a significant difference on the visual analogue scales for nurse-to-nurse and nurse-to-nursing student collaboration, by type of unit. The NNCS findings indicated differences in the shared processes, coordination, communication, and conflict management subdomains. Further research in the area of collaboration among nurses and dedicated education units is recommended.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".