Self-compassion and secondary traumatic stress in pediatric oncology/hematology nurses

Background: Pediatric oncology/hematology nurses frequently witness the suffering and death of children, placing them at high risk for secondary traumatic stress. Self-compassion has emerged as a protective factor against psychological distress in healthcare professionals. Methods: This descriptive correlational study included 115 nurses in pediatric oncology/hematology units at six hospitals in three major cities. Data were collected using a Personal Information Form, the Self-Compassion Scale, and the Secondary Traumatic Stress Scale. Data were analyzed using descriptive and multiple inferential statistical methods. Results: Nurses reported moderate levels of secondary traumatic stress and self-compassion. A significant negative correlation was found between the total self-compassion scale and secondary traumatic stress scale scores (r = -0.46, indicating a moderate negative correlation, p < 0.01). Subscales of self-kindness, mindfulness, and common humanity were negatively associated with secondary traumatic stress. At the same time, self-judgment and isolation were positively correlated. Multiple regression analysis showed that self-compassion explained a significant portion of variance in secondary traumatic stress scores (R-2 = 0.31, indicating that 31 % of the variance was explained, p < 0.001). Discussion: The findings suggest that higher self-compassion, particularly self-kindness and mindfulness, may buffer nurses against the adverse effects of secondary trauma. Conversely, self-critical attitudes may heighten vulnerability. These results highlight pediatric oncology nurses' emotional burden and underscore the importance of psychological support. Conclusion: Promoting self-compassion may help reduce secondary traumatic stress and improve well-being among pediatric oncology/hematology nurses. Interventions focused on self-compassion training could serve as a sustainable strategy to support nurses' mental health and care quality. (c) 2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.