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

Abstract

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.