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Record W4317476675 · doi:10.3928/01484834-20221109-06

Final-Year Nursing Students' Experiences During the COVID-19 Pandemic: A Scoping Review

2023· review· en· W4317476675 on OpenAlexaff
Mohamed Toufic El Hussein, Aliyah Dosani, Nada Al-Wadeiah

Bibliographic record

VenueJournal of Nursing Education · 2023
Typereview
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsMount Royal University
Fundersnot available
KeywordsPandemicCoronavirus disease 2019 (COVID-19)Coping (psychology)Competence (human resources)Nursing2019-20 coronavirus outbreakMEDLINESevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Medical educationPsychologyMedicineDiseasePolitical scienceClinical psychologyInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

Background: The transitional experience from final-year nursing students (FYNS) to newly graduated RNs (NGRN) challenges individuals' professional and personal identities. Multiple studies have documented the experiences of FYNS graduating in the pandemic, but no studies have synthesized the findings. Method: This scoping review examined the barriers and facilitators FYNS experience as they transitioned to become NGRN during the coronavirus disease 2019 (COVID-19) pandemic. Databases were searched for relevant articles, and articles published in peer-reviewed journals between 2019 and 2021 that focused on the support of FYNS in clinical settings in North America, Europe, and Australia were included. Results: Three themes were identified: emotional turmoil and coping, clinical competence and readiness for practice, and teaching strategies. Conclusion: This review revealed important insight on how the pandemic affected FYNS' transition to practice and identified gaps in the literature for future research. [ J Nurs Educ . 2023;62(1):6–11.]

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.790
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.231
GPT teacher head0.539
Teacher spread0.308 · 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 designOther design
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

Citations12
Published2023
Admission routes1
Has abstractyes

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