Nurses' work value patterns and their relationship with burnout: a cross-sectional study based on latent profile
Yuecong Wang1, Xin Wang2, Li Gao3
1Department of Neurology, Huai'an Second People's Hospital, The Affiliated Huai'an Hospital of Xuzhou Medical University, Huai'an, 223002, Jiangsu, China.
BMC Nursing
|February 12, 2025
Summary
Understanding nurse work values is key to preventing burnout. Different work value patterns significantly impact nurses
Area of Science:
- Nursing Research
- Occupational Health Psychology
- Sociology of Professions
Background:
- A significant association exists between work values and burnout in nurses.
- Previous research often overlooked diverse work value patterns within nursing groups.
- A comprehensive understanding of specific work value patterns and their link to burnout is lacking.
Purpose of the Study:
- To identify distinct work value patterns among Chinese nurses.
- To analyze sociodemographic variations across identified work value patterns.
- To explore the relationship between these work value patterns and nurse burnout.
Main Methods:
- A cross-sectional study involving 505 nurses who completed a survey.
- Latent profile analysis was used to identify work value patterns from 30 scale items.
- Bivariate analysis, multiple logistic regression, and ANOVA were employed to examine relationships.
Main Results:
- Three distinct nurse work value patterns were identified: demand support (16.6%), intrinsically driven (42.2%), and overall identification (41.2%).
- Sociodemographic factors like age, marital status, experience, education, and career establishment predicted specific patterns.
- Significant differences in burnout levels were observed among nurses across the identified work value patterns.
Conclusions:
- This study offers novel insights into nurse work motivation and stressors.
- Significant variations in burnout experiences exist based on nurses' work value patterns.
- Findings provide a basis for targeted interventions to mitigate nurse burnout and inform future research.
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