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A comprehensive model for predicting burnout in Korean nurses.

Haejung Lee1, Rhayun Song, Young Suk Cho

  • 1Department of Nursing, Pusan National University, Suh-Gu, Pusan, South Korea. haejung@pusan.ac.kr

Journal of Advanced Nursing
|December 4, 2003
PubMed
Summary

Burnout is high in Korean nurses, linked to job stress and low empathy. Enhancing empathy and empowerment can help reduce nurse burnout.

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Area of Science:

  • Nursing Research
  • Occupational Health Psychology
  • Cross-Cultural Studies

Background:

  • Burnout among nurses is a significant concern, yet understudied in the Korean context.
  • The predictive roles of personal resources like empathy and empowerment on burnout in Korean nurses remain unexplored.

Purpose of the Study:

  • To investigate the phenomenon of burnout in Korean nurses.
  • To examine a comprehensive model of burnout, identifying predictors from individual characteristics, job stress, and personal resources.
  • To provide evidence for interventions aimed at reducing burnout among Korean nurses.

Main Methods:

  • Cross-sectional correlational design utilizing survey data from 178 nurses in southern Korean general hospitals (May 1999-March 2000).
  • Data collection via paper-and-pencil self-rating questionnaires.

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  • Statistical analysis included descriptive statistics, Pearson correlations, and hierarchical multiple regression.

    • Main Results:

    • Korean nurses reported higher burnout levels compared to nurses in Western countries (Germany, Canada, UK, USA).
    • Increased job stress, lower cognitive empathy, and reduced empowerment were associated with higher burnout.
    • Working night shifts and being employed at tertiary hospitals were also linked to increased burnout.

    Conclusions:

    • A comprehensive understanding of burnout predictors is crucial for developing effective management strategies for Korean nurses.
    • Interventions should focus on enhancing nurses' cognitive empathy and perceived power, clarifying job roles, and considering shift preferences, particularly in tertiary settings.
    • Future research should aim for broader geographical representation and random sampling to improve generalizability.