The path of depression among frontline nurses during COVID‐19 pandemic: A fuzzy‐set qualitative comparative analysis. (21st June 2022)

• Record Type: Journal Article
• Authors: Liang, Leilei; Yuan, Tongshuang; Guo, Xinmeng; Meng, Cuicui; Lv, Jianping; Fei, Junsong; Mei, Songli
• Is Part Of: International journal of mental health nursing. Volume 31:Number 5(2022)
• Page Start: 1239
• Page End: 1248
• Publication Date: 2022-06-21
• Subjects: configuration -- COVID‐19 -- depression -- fuzzy‐set qualitative comparative analysis; Psychiatric nursing -- Periodicals; 610.736805
• DOI: 10.1111/inm.13033
• Languages: English
• ISSNs: 1445-8330

Abstract

Abstract: This study aimed to explore the combination of different conditional variables that led to depressive symptoms among frontline nurses who were fought against COVID‐19 during the outbreak in Wuhan City, Hubei Province of China. The study was conducted in August 2020, which included 331 frontline clinical nurses who supported Wuhan's fight against COVID‐19. The age range was 21–57 years and included 315 female nurses and 16 male nurses. This study used the fuzzy‐set qualitative comparative analysis research method to explore the path of depression among frontline nurses. This study generated nine different configurations for the path of depression among frontline nurses, and had a detailed demonstration for each configuration. Each configuration distinguishes the different effects of influencing factors. For example, in the first configuration, gender, sleep disorder and PTSD exist as core conditions, while social support exists as a core condition lack. This study was presented results which was different what linear regression model reports. It takes into consideration the combined effect of each conditional variable on the development of depression. Nurse managers should pay attention to the combination of multiple influencing factors, instead of focus on single factors.