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Relationship between burnout and turnover intention among nurses: a network analysis.

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Nurse burnout and turnover intention are linked, with personal accomplishment and self-efficacy being key factors. Enhancing these can reduce nurses' intentions to leave the profession.

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Area of Science:

  • Healthcare Management
  • Nursing Research
  • Psychology

Background:

  • Nurse burnout and turnover intention pose significant challenges to global healthcare systems, exacerbated by the COVID-19 pandemic.
  • Understanding the intricate relationships between burnout and turnover intention is crucial for effective workforce retention strategies.

Purpose of the Study:

  • To investigate the network structure of nurse burnout and turnover intention using network analysis.
  • To identify key constructs and their interdependencies influencing nurses' decisions to leave their jobs.

Main Methods:

  • A cross-sectional study involving 560 nurses from three tertiary hospitals in Hangzhou, China.
  • Utilized the Maslach Burnout Inventory-General Survey (MBI-GS) and Turnover Intention Questionnaire (TIQ).
  • Employed Gaussian graphical models for network analysis to map relationships between variables.

Main Results:

  • Network analysis identified personal accomplishment and emotional exhaustion as central elements influencing turnover intention.
  • Perceived meaningful work and self-efficacy were highlighted as pivotal nodes for mitigating turnover intentions.
  • Bootstrapping methods confirmed the stability and robustness of the network model.

Conclusions:

  • Addressing nurse burnout by focusing on personal accomplishment and self-efficacy is vital for reducing turnover intentions.
  • Targeted interventions aimed at enhancing meaningful work and self-efficacy can improve nurse retention.
  • Future multi-center studies are recommended to enhance the generalizability of these findings.