Cited by 261Nursing education and managementHealthcare Education and Workforce IssuesStress and Burnout Research

The influence of areas of worklife fit and work-life interference on burnout and turnover intentions among new graduate nurses

Boamah, Sheila A., Laschinger, Heather·2016·Journal of Nursing Management

Abstract

AIM: To examine the relationships among the overall person-job match in the six areas of worklife, work-life interference, new nurses' experiences of burnout and intentions to leave their jobs. BACKGROUND: As a large cohort of nurses approaches retirement, it is important to understand the aspects of the nurses work-life that are related to turnover among new graduate nurses to address the nursing workforce shortage. METHODS: Secondary analysis of data collected in a cross-sectional survey of 215 registered nurses working in Ontario acute hospitals was conducted using structural equation modelling. RESULTS: The fit indices suggested a reasonably adequate fit of the data to the hypothesised model [χ(2) = 247, d.f. = 122, P = 0.001, χ(2) /d.f. = 2.32, Incremental Fit Index (IFI) = 0.954, Comparative Fit Index (CFI) = 0.953, Root Mean Square Error of Approximation (RMSEA) = 0.06]. Person-job match in six areas of worklife had a direct negative effect on burnout (emotional exhaustion and cynicism), which in turn had a direct positive effect on turnover intentions. Work-life interference also influenced turnover intentions indirectly through burnout. CONCLUSION: The study findings demonstrate that new graduate nurses' turnover intentions are a recurring problem, which could be reduced by improving nurses' working conditions. Retention of new graduate nurses could be enhanced by creating supportive working environments to reduce the susceptibility to workplace burnout, and ultimately, lower turnover intentions. IMPLICATIONS FOR NURSING MANAGEMENT: Managers must employ strategies to enhance workplace conditions that promote a person-job fit and work-life balance to improve retention of new graduate nurses, and, thereby, lessen the nursing shortage.

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Crossref · 10.1111/jonm.12318

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  • High scores on the Areas of Worklife Scale (indicating greater job congruence) are associated with less likelihood of burnout (4 out of 4 studies supporting).

    “| Areas of worklife (high score on Areas of Worklife Scale) | √ | √ | | 4 out of 4 |”

    From Burnout in nursing: a theoretical review. (2020) · cites this paper as [28]

  • Emotional Exhaustion and Cynicism have a direct effect on turnover intentions.

    “Two studies found that Emotional Exhaustion and Cynicism had a direct effect on turnover intentions [28, 99]”

    From Burnout in nursing: a theoretical review. (2020) · cites this paper as [28]

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Authors
Boamah, S. A., & Laschinger, H.
Affiliations
Western University (CA)
Corresponding author
Laschinger, Heather
Venue
Journal of Nursing Management
Publisher
Wiley
Published
2015-06-30
Volume
24
Issue
2
Pages
E164-E174
ISSN
0966-0429 (ISSN-L)
OpenAlex
W2117049589
Cited by
261
References
55
Citations by year
2026: 15 · 2025: 21 · 2024: 23 · 2023: 30 · 2022: 23 · 2021: 40 · 2020: 42 · 2019: 26 · 2018: 20 · 2017: 14 · 2016: 7
FWCI
38.13
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Nursing Management (publishedVersion)
  • PubMed (publishedVersion)
Funders
Canadian Institute of Health Research (267421)
Topics
  • Health Sciences › Nursing › Research and Theory › Nursing education and management
  • Health Sciences › Nursing › Leadership and Management › Healthcare Education and Workforce Issues
  • Social Sciences › Psychology › Social Psychology › Stress and Burnout Research
Keywords
person-job fit, work-life interference, burnout, turnover intention, new nurses, emotional exhaustion, cynicism, nurse retention, nursing shortage, work-life balance, acute care nursing
MeSH terms
Work-Life Balance, Adult, Attitude of Health Personnel, Burnout, Professional, Cross-Sectional Studies, Female, Humans, Job Satisfaction, Male, Models, Psychological, Nurses, Nursing Staff, Hospital, Ontario, Personnel Turnover, Models, Statistical, Intention

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