Nursing students’ experiences of a post-licensure practical nurse bridging program: a qualitative systematic review protocol
Bibliographic record
Abstract
OBJECTIVE: This systematic review will synthesize the qualitative literature on students' experiences of a post-licensure practical nurse to registered nurse bridging program. INTRODUCTION: The worldwide shortage of registered nurses has prompted governments and educational institutions to develop alternative pathways to nursing licensure. One strategy used to increase the supply of registered nurses is bridging programs. These grant practical nurses academic credit for previous educational and practical experience, which allows them to complete a Bachelor of Nursing degree in a shorter period of time. However, attrition in bridging programs is a concern. Understanding the experiences of students enrolled in bridging programs will help identify their specific needs and the educational support needed for them to successfully transition into the registered nursing role. INCLUSION CRITERIA: This review will include published and unpublished studies that examine the experiences of practical nurses enrolled in bridging programs. Studies published in English will be considered, with no date limitations. METHODS: Databases to be searched include CINAHL, MEDLINE, Embase, and ERIC. Gray literature will be searched for in ProQuest Dissertations and Theses and GreyNet International. Reference lists of included studies will also be reviewed to identify additional studies. The critical appraisal of selected studies and the extraction of data will be independently undertaken by two reviewers using JBI methodology. The findings will be pooled using meta-aggregation to produce comprehensive synthesized findings. A ConQual Summary of Findings will also be presented. SYSTEMATIC REVIEW REGISTRATION NUMBER: PROSPERO CRD42021278408.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".