Cited by 55Stress and Burnout ResearchOccupational Health and BurnoutNursing education and management

A cross‐sectional survey on consequences of nurses' burnout: moderating role of organizational politics

Basar, Ufuk, Basim, Nejat·2016·Journal of Advanced Nursing

Abstract

AIM: The aim of the study was to assess whether perceptions of organizational politics (defined as self-serving behaviours at the expense of others) influence the prospective associations between nurses' burnout and its consequences, namely, intention to quit and neglect of work. BACKGROUND: Researchers have previously investigated relationships between nurses' burnout, intention to quit, neglect of work and perceptions of organizational politics in different research models and from different perspectives. As far as we know, no studies have considered whether nurses' perceptions of organizational politics moderate the influence of burnout. DESIGN: A cross-sectional survey using self-report questionnaires. METHOD: Data were collected by questionnaire from a sample of 456 nurses from six private hospitals in Ankara, Turkey in March 2015. Four different previously designed scales were used to measure research variables (burnout, intention to quit, neglect of work and perceptions of organizational politics). Following confirmatory validity and reliability analyses of data collection instruments, descriptive statistics for each research variable were analysed. Structural regression models were created to assess relationships among variables. FINDINGS: Burnout resulted in intention to quit and neglect. Intention to quit partially mediated the association between burnout and neglect. Burnout gave rise to intention to quit slightly more strongly in nurses who had greater perceptions of organizational politics. CONCLUSION: This study uncovers and emphasizes the moderating role of perceptions of organizational politics in consequences of burnout. This may help hospital managers and nurses to improve costs, efficiency, satisfaction and productivity.

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Crossref · 10.1111/jan.12958

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  • Burnout measured with the Malach-Pines Scale is associated with intention to quit, with stronger associations for nurses who had higher perceptions of organisational politics.

    “Burnout, measured with the Malach-Pines Scale, was associated with intention to quit, and stronger associations were found for nurses who had higher perceptions of organisational politics [103]”

    From Burnout in nursing: a theoretical review. (2020) · cites this paper as [103]

  • Missed care is an outcome of burnout.

    “Missed care was investigated in three studies, and it was found to be both predictor of Emotional Exhaustion [32], an outcome of burnout [20, 103].”

    From Burnout in nursing: a theoretical review. (2020) · cites this paper as [103]

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Authors
Basar, U., & Basim, N.
Affiliations
  • Baskent University Institute of Social Sciences Ankara Turkey
  • Faculty of Economics and Administrative Sciences Baskent University Ankara Turkey
Venue
Journal of Advanced Nursing
Publisher
Wiley
Published
2016-03-14
Volume
72
Issue
8
Pages
1838-1850
ISSN
  • 0309-2402 (ISSN-L)
  • 1365-2648
OpenAlex
W2300754564
Cited by
55
References
71
Citations by year
2026: 2 · 2025: 3 · 2024: 6 · 2023: 5 · 2022: 12 · 2021: 8 · 2020: 9 · 2019: 2 · 2018: 2 · 2017: 5 · 2016: 1
FWCI
5.24
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Advanced Nursing (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Social Psychology › Stress and Burnout Research
  • Health Sciences › Health Professions › Occupational Therapy › Occupational Health and Burnout
  • Health Sciences › Nursing › Research and Theory › Nursing education and management
Keywords
nurse burnout, organizational politics, turnover intention, moderating effect, burnout consequences, hospital nurses, private hospitals
MeSH terms
Burnout, Professional, Cross-Sectional Studies, Humans, Job Satisfaction, Nursing Staff, Hospital, Politics, Prospective Studies, Surveys and Questionnaires, Turkey, Reproducibility of Results

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