Trainee nursing associates in England: A multisite qualitative study of higher education institution perspectives
Bibliographic record
Abstract
AIM: To explore the experiences of university employees on the development and implementation of the nursing associate programme. BACKGROUND: As part of wider policy initiatives to address workforce shortages, provide progression for healthcare assistants and offer alternative routes into nursing, England recently introduced the nursing associate level of practice. Little research has yet considered university perspectives on this new programme. METHODS: An exploratory qualitative study reported following COREQ criteria. Twenty-seven university staff working with trainee nursing associates in five universities across England were recruited. Data, collected via semi-structured interviews from June to September 2021, were analysed through a combined framework and thematic analysis. RESULTS: Three themes developed: 'Centrality of partnerships' considered partnerships between employers and universities and changing power dynamics. 'Adapting for support' included responding to new requirements and changing pedagogical approaches. 'Negotiating identity' highlighted the university's role in advocacy and helping trainees develop a student identity. CONCLUSIONS: Nursing associate training in England has changed the dynamics between universities and healthcare employers, shifting learners' identity more to 'employee' rather than 'student'. Universities have adapted to support trainees in meeting academic and professional standards whilst also meeting employer expectations. While challenges remain, the ability of nurse educators to make adjustments, alongside their commitment to quality educational delivery, is helping establish this new training programme and thereby meet government policy initiatives. IMPLICATIONS FOR NURSING POLICY: The international movement of apprenticeship models in universities has the potential to change the status of the learner in nursing educational contexts. National policies that encourage this model should ensure that the implications and challenges this change of status brings to learners, employers and education institutions are fully considered prior to their implementation.
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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 | 0.000 |
| 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".