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Record W2469481568 · doi:10.5430/jha.v5n5p41

Experiential meaning of a decent quality of work life for nurse managers in a university hospital

2016· article· en· W2469481568 on OpenAlexaffvenueabout
Sylvain Brousseau, Chantal Cara, Régis Blais

Bibliographic record

VenueJournal of Hospital Administration · 2016
Typearticle
Languageen
FieldNursing
TopicNursing education and management
Canadian institutionsUniversité de MontréalUniversité du Québec en Outaouais
Fundersnot available
KeywordsMeaning (existential)Experiential learningNursingHealth careSociologyWatsonPsychologyMedicineMedical educationPedagogyPolitical science

Abstract

fetched live from OpenAlex

Objective: Successive reorganizations of healthcare system around the globe have placed enormous pressure on the work of nurse managers (NMs) and this has eroded their quality of work life (QWL). However, little is known about the meaning of NMs’ QWL.Aim: Inspired by Watson’s Human Caring Science perspective, this study aimed to describe and understand the meaning of QWL among NMs working in a affiliated-university hospital.Methods: A descriptive phenomenological method the Relational Caring Inquiry (RCI) was conducted to describe and understand the experiential meaning of QWL. This qualitative method was used to collect and analyze data from two semi-structured interviews with 14 NMs in an affiliated-university hospital in Quebec, Canada.Results: The results have identified the following five Eidos themes to describe and understand the experiential meaning of QWL: (1) actualizing leadership and political skills to improve the quality of nursing care; (2) contextual elements conducive to humanization of the organization; (3) organizational support promoting socioprofessional and personal fulfillment; (4) learning culture within the organization to encourage the development of nursing management skills; and (5) personalized support addressing the specific needs of new NMs. For NMs, the essence of the QWL experience is defined as a socioprofessional emancipation of NMs in their clinical-administrative practice in humanist organizations.Conclusions: Taking an organizational humanization perspective, the results reveal sustainable and practical potential strategies aimed at optimizing QWL implementation programs.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score0.303

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.017
GPT teacher head0.302
Teacher spread0.285 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations8
Published2016
Admission routes3
Has abstractyes

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