Factors influencing well-being in clinical nurses: A path analysis using a multi-mediation model

Aims and objectives: To test a hypothetical path model estimating the influence of resilience and gratitude disposition on well-being in Korean clinical nurses and to verify the mediating effects of burnout, compassion satisfaction and job satisfaction using a multi-mediation model. Background: To improve the well-being of nurses, it is necessary to consider their personal and work-related characteristics comprehensively. Design: A descriptive cross-sectional design was used. Methods: A total of 310 clinical nurses participated in this study. A structured questionnaire was used to collect data. A path analysis using a multi-mediation model was performed using AMOS 23.0 to test the hypothetical path model. This study adhered to the STROBE guideline. Results: The model's fit indices were adequate. Resilience and gratitude disposition both had significant direct effects on well-being. Resilience and gratitude disposition had significant indirect effects on well-being through the effect of burnout, compassion satisfaction and job satisfaction. Resilience, gratitude disposition, burnout, compassion satisfaction and job satisfaction explained 68.3% of the total variance of well-being. Conclusions: Intervention programmes considering these factors may be useful to improve nurses’ well-being. Relevance to clinical practice: Nurses’ well-being should be assessed along with resilience, gratitude disposition, burnout, compassion satisfaction and job satisfaction. To improve the well-being of clinical nurses, systematic and integrated intervention programmes need to be developed and applied, with consideration for a variety of factors related to well-being.