The factors associated with the caregiving burden among family caregivers of pediatric patients with fractures: A descriptive cross-sectional study

Purpose: To investigate the factors linked to the caregiving burden among family caregivers of pediatric patients with fractures. Methods: This descriptive cross-sectional research used non-probabilistic sampling involving 200 pediatric patients (0-14 years) with fractures and their family caregivers. Data was collected between November 2019 and June 2020. The Chinese version of the Zarit Burden Interview (ZBI) and Simplified Coping Style Questionnaire (SCSQ) assessed caregiving burden and coping styles. We examined clinical data of patients and caregivers, identifying factors influencing caregiving burden by integrating findings from parallel studies, and conducted statistical analyses on these factors. Results: Most family caregivers in this study were women (80.5%), with mothers comprising 56% of the total. The average ZBI score was 40.65 +/- 17.27, and 81.5% of caregivers had moderate or severe burden. Factors associated with caregiving burden included caregiver gender, co-caregivers, positive and negative coping scores, and monthly income. The significant factors that were identified accounted for approximately 42.4% of the variability in the caregiving burden. Conclusions: This study concluded that family caregivers of pediatric patients with fractures often experience moderate to severe burdens, especially female caregivers, those without co-caregivers, using negative coping strategies, and from low-income families. Thus, it is essential to provide these families with professional information, policy support, and affordable, effective care services. Implications to practice: Healthcare professionals should prioritize addressing the caregiving burden of family caregivers of pediatric patients with fractures. Nurses can actively improve the health of these pediatric patients and ease parental burden by providing information about social support systems. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar tech-nologies.