Nurse burnout: deep connections and solutions revealed by network analysis
Tianyi Bu1, Chundi Peng1, Jiangheng Liu2
1Psychology and Health Management Center, Harbin Medical University, Harbin, Heilongjiang, China.
Background:
Burnout is very important to nurses' physical and mental health and career development. Current approaches to assessing nurse burnout tend to use a total score modeling paradigm to explore the impact of external factors on burnout. The purpose of this study is to delve into the item-level relationship between nurse burnout and its influencing factors at both the social and psychological levels using a network analysis approach.
Methods:
This study was conducted in June 2023 and 1,005 nurses from 4 hospitals out of 8 tertiary care hospitals in Harbin were selected to participate in this study using whole cluster sampling method. Measurements included a general demographic questionnaire, Trait coping styles questionnaire, Organizational commitment questionnaire, Work-family conflict scale, Transformational leadership questionnaire, and Maslach Burnout Inventory-General Survey.
Results:
Our results suggest that "C1 Time-Based work interference with family" showed the strongest centrality and bridging in the overall network. This finding underscores its centrality to burnout. Other strongest bridge symptoms included "E2 Reduced personal accomplishment" and "A1 Positive coping styles" indicating their strongest connections to other clusters.
Conclusions:
Nurse administrators should be encouraged to pay more attention to nurses' work situations and family distress, and to help nurses in a flexible way.
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