Nurses’ Burnout, Resilience, and Its Associated Factors in Sichuan, China, During the Peak of Coronavirus Disease 2019 Infection

Abstract

AIM: To investigate the level of burnout and resilience, and the associated factors when the coronavirus disease 2019 infection hit a peak in the community in Sichuan, China. METHOD: This was a descriptive cross-sectional design study. Data were collected from 25 to 31 December 2022, at six hospitals in Sichuan province. Using convenience sampling, a total of 717 participants were recruited, using the revised version of the Maslach Burnout Inventory-General Survey, and the Resilience Assessment Scale for healthcare workers. RESULTS: More than half of nurses reported a moderate level of emotional exhaustion (66.50%, n = 484), cynicism (68.20%, n = 489), and personal accomplishment (68.76%, n = 493); nearly one-third and one-fourth of nurses experienced a high level of emotional exhaustion (27.48%, n = 197) and cynicism (20.78%, n = 149), respectively. In resilience, the highest scoring dimension was interpersonal connectedness, followed by decisional coping, flexible self-adaptation, and rational thinking. Satisfaction with work income, patient–nurse conflict, frequency of overtime work, age, and marital status were significant factors influencing burnout among nurses (p < .05). CONCLUSION: The findings of the study enlighten nursing administrators on the level of burnout and resilience and associated factors among nurses during the peak of coronavirus disease 2019 infection in China. This would be of immense help in planning a welfare program to support the nurses.