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Record W2297060207 · doi:10.1111/jocn.13210

A qualitative study of experienced nurses' voluntary turnover: learning from their perspectives

2016· article· en· W2297060207 on OpenAlex
Dana Alyson Marie Hayward, Vicky Bungay, Angela C. Wolff, Valerie MacDonald

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Clinical Nursing · 2016
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsProfessional Engineers OntarioUniversity of British ColumbiaBurnaby HospitalFraser HealthBC StudiesPeace Arch Hospital
Fundersnot available
KeywordsNursingMentorshipWorkloadTurnoverAcute careHealth careQualitative researchMedicineSurgical nursingPsychologyNurse educationPrimary nursingMedical education

Abstract

fetched live from OpenAlex

AIMS AND OBJECTIVES: The purpose of this research was to critically examine the factors that contribute to turnover of experienced nurses' including their decision to leave practice settings and seek alternate nursing employment. In this study, we explore experienced nurses' decision-making processes and examine the personal and environmental factors that influenced their decision to leave. BACKGROUND: Nursing turnover remains a pressing problem for healthcare delivery. Turnover contributes to increased recruitment and orientation cost, reduced quality patient care and the loss of mentorship for new nurses. DESIGN: A qualitative, interpretive descriptive approach was used to guide the study. METHODS: Interviews were conducted with 12 registered nurses, averaging 16 years in practice. Participants were equally represented from an array of acute care inpatient settings. The sample drew on perspectives from point-of-care nurses and nurses in leadership roles, primarily charge nurses and clinical nurse educators. RESULTS: Nurses' decisions to leave practice were influenced by several interrelated work environment and personal factors: higher patient acuity, increased workload demands, ineffective working relationships among nurses and with physicians, gaps in leadership support and negative impacts on nurses' health and well-being. Ineffective working relationships with other nurses and lack of leadership support led nurses to feel dissatisfied and ill equipped to perform their job. The impact of high stress was evident on the health and emotional well-being of nurses. CONCLUSIONS: It is vital that healthcare organisations learn to minimise turnover and retain the wealth of experienced nurses in acute care settings to maintain quality patient care and contain costs. RELEVANCE TO CLINICAL PRACTICE: This study highlights the need for healthcare leaders to re-examine how they promote collaborative practice, enhance supportive leadership behaviours, and reduce nurses' workplace stressors to retain the skills and knowledge of experienced nurses at the point-of-care.

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.

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)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.232
Threshold uncertainty score0.486

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.077
GPT teacher head0.488
Teacher spread0.411 · 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