Interventions to support graduate nurse transition to practice and associated outcomes: A systematic review
Bibliographic record
Abstract
OBJECTIVE: The aim of this mixed methods systematic review was to: i) document the interventions that support and facilitate graduate nurse transition from university to practice in a diversity of healthcare settings and ii) to identify outcomes from graduate nurse transition interventions for the graduate, patient or client, and health service. DESIGN: This mixed methods systematic review was guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses. All quantitative, qualitative, and mixed methods studies were included if they met the inclusion criteria. DATA SOURCES: Primary research studies located in Medline, EmBase, CINAHL, Prospero, Cochrane Library, PsycInfo, and Web of Science (Social Science Citation Index). All quantitative, qualitative, and mixed methods studies were included if they met the inclusion criteria. REVIEW METHODS: Using a comprehensive search strategy, retrieved articles were screened by two reviewers at the title, abstract, and full-text stage. Reviewer disagreements were discussed until consensus was achieved. The well-validated Mixed-Methods Appraisal Tool was used to assess quality of the quantitative, qualitative, and mixed methods studies. RESULTS: A total of 130 studies were included as the review dataset. There was a myriad of terms used to describe transition interventions, and programme length and settings varied. The content of transition interventions was not well defined, and there was a lack of studies outside acute hospital settings. Data collection methods varied widely. The majority of authors reported outcomes for the graduate or the graduate and service, with only one reporting outcomes for the patient or client. There was a significant variation in quality across the studies. CONCLUSIONS: This review addresses a significant gap in the literature by documenting transition interventions in a diversity of health settings and outcomes from these interventions. Interest in transition to practice continues to rise, but there is an urgent need to conduct well designed, robust, and larger-scale studies at the national and transnational levels.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 |
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".