Deepening Empirical Understandings of Nurse Work Well‐Being: Using Mixed Methods Including Path Analysis to Create Contextualized Outcome Models

Conclusions suggest that understanding job satisfaction and intent to leave predictors is complex, requiring complex models to globally and contextually explain nurse WWB outcomes.

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Publication Details

Journal
Worldviews on Evidence-Based Nursing
Published
2025-04-01
DOI
https://doi.org/10.1111/wvn.70005
Citations
5
Primary Topic
Workplace Health and Well-being
Type
article
Field-Weighted Citation Impact
14.08
Controls
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article

Deepening Empirical Understandings of Nurse Work Well‐Being: Using Mixed Methods Including Path Analysis to Create Contextualized Outcome Models

Patricia L. Thomas, John W. Nelson, Dominika Vrbnjak, Cathy I. Schwartz
5 citations
Worldviews on Evidence-Based Nursing
Workplace Health and Well-being
14.08
article

Deepening Empirical Understandings of Nurse Work Well‐Being: Using Mixed Methods Including Path Analysis to Create Contextualized Outcome Models

Patricia L. Thomas, John W. Nelson, Dominika Vrbnjak, Cathy I. Schwartz
article en
5 citations

Abstract

Conclusions suggest that understanding job satisfaction and intent to leave predictors is complex, requiring complex models to globally and contextually explain nurse WWB outcomes.

Worldviews on Evidence-Based NursingVol. 22(2)
University of Maribor (SI), Data Sciences International (United States) (US)
Openalex Percentile: Top 1%
Workplace Health and Well-being
14.08
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