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Record W7053241117

The Transition Experience of New Graduate Nurses in the Emergency Department

2024· dissertation· en· W7053241117 on OpenAlexaboutno aff

Bibliographic record

VenueMacSphere (McMaster University) · 2024
Typedissertation
Languageen
FieldEngineering
TopicPlasma Diagnostics and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPreparednessThematic analysisStaffingEmergency departmentCompetence (human resources)Interpersonal communicationWorkloadEmergency nursingNurse education
DOInot available

Abstract

fetched live from OpenAlex

Background: New Graduate Nurses (NGNs) face multiple learning and transition challenges as they start their careers. However, little is known about this experience in the Emergency Department (ED) setting. Aim: The purpose of this study was to explore the experience of NGNs’ transition to nursing practice in the ED, including the intrapersonal, interpersonal, and organizational factors that facilitate or hinder this process. Methods: Guided by the Interpretive Descriptive design, this study included ten NGNs working in EDs in southwestern Ontario, Canada. Participants provided demographic information and completed individual interviews. Data from transcripts were analyzed using reflexive thematic analysis. Findings: Four main themes were generated from this study: (1) the effects of the ED environment, (2) the introduction to practice, (3) the adaptation in practice, and (4) the evolution over time. The experiences of transition were impacted by environmental barriers, such as complex patient workloads, unpredictable patient volume and flow, and short staffing. NGNs’ introduction to practice reflected the barriers and facilitators of their academic and organizational training, and support in the workplace. NGNs lacking preparedness and support for ED practice led to a perceived inability to meet practice expectations and occupational stress. NGNs adapted through interpersonal and occupational resources, workload management skills, and intrapersonal actions and behaviors. NGNs evolved by developing confidence and competence in their practice, and in their professional nursing identity. Conclusion: Factors in the ED environment present unique challenges to NGNs’ experience of transitioning into their first professional nursing role. As staffing issues in the ED persist, NGNs will continue to be hired, despite discrepancies in their practical knowledge and skills. Further education, research, and practice initiatives are needed to support the transition of NGNs to the ED setting.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0070.006
Scholarly communication0.0030.002
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.016
GPT teacher head0.227
Teacher spread0.212 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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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