Predictors of Burnout, Job Satisfaction, and Turnover Among CRNAs During COVID-19 Surging

This study examined the relationship between demographic factors, job characteristics, relations between Certified Registered Nurse Anesthetists (CRNAs) and administration, and conflict between work and personal responsibilities using structural equation modeling to determine levels of burnout, job satisfaction, and turnover intention among CRNAs during COVID-19 surges. Survey data were collected from CRNAs practicing in Massachusetts and Texas through an email link distributed by their respective state associations of nurse anesthetists. Results of the structural equation modeling showed a decrease in feedback, low CRNA-administration relations scores, and prioritizing work over personal responsibilities were predictive of CRNA burnout. In addition, burnout levels were correlated with job satisfaction and turnover intention. Based on these findings, employers could decrease CRNA burnout and turnover by creating organizational strategies focused on improving job feedback, relationships between CRNAs and administrators, and work-life integration. Through these approaches, healthcare managers and leaders may support CRNA resiliency and retention, particularly during times of professional change, such as the COVID-19 pandemic.