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Record W4403611829 · doi:10.11124/jbies-24-00180

Supporting professional practice transition in undergraduate nursing education: a scoping review protocol

2024· review· en· W4403611829 on OpenAlexaff
Elizabeth Orr, Meredith Kuipers, Elizabeth Yates, Kathryn Halverson

Bibliographic record

VenueJBI Evidence Synthesis · 2024
Typereview
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsBrock University
Fundersnot available
KeywordsCINAHLInclusion (mineral)Graduation (instrument)Medical educationNurse educationMEDLINENursingGrey literatureCitationMedicinePsychologyComputer sciencePolitical scienceLibrary sciencePsychological intervention

Abstract

fetched live from OpenAlex

OBJECTIVE: This scoping review will describe educational programming that supports undergraduate student nurses' transition to practice and/or enhances practice readiness. INTRODUCTION: The period of transition from nursing student to professional nurse is fraught with challenges stemming from the evolving role and the increasing demands of independent practice. While transition-to-practice programming exists for new graduate nurses, there is less focus on preparing students in their final year of education. A scoping review will identify educational programming delivered to nursing students approaching graduation that facilitates transition-to-practice success and/or improves practice readiness. INCLUSION CRITERIA: This review will consider literature describing educational programming that supports transition-to-practice success and/or practice readiness and that demonstrates evidence of evaluation. Studies that involve primarily pre-licensure, undergraduate, or baccalaureate nursing students will be included. Reports of primary studies, reviews, dissertations and theses, conference proceedings, and nursing trade publications that describe quantitative, qualitative, or mixed methods designs will be included. METHODS: The proposed review will adhere to the JBI methodology for scoping reviews. A comprehensive search will be conducted in CINAHL (EBSCOhost), MEDLINE (Ovid), Healthstar (Ovid), and Nursing and Allied Health (ProQuest) using a search strategy developed in consultation with an expert university librarian. Two independent reviewers will screen articles by title and abstract and assess the full text of each selected citation against inclusion criteria. Quantitative methods (descriptive statistics) and basic qualitative content analysis will be used to analyze the data, and results will be reported in narrative and graphic formats. REVIEW REGISTRATION: Open Science Framework https://osf.io/2vsbq/.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.600
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.052
GPT teacher head0.505
Teacher spread0.453 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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