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Learning Objective 1: The learner will be able to understand the nurses’ experience of job dissatisfaction and burnout in China
Learning Objective 2: The learner will be able to tell how these experiences are affected by nurses’ individual characteristics: gender, work experience, employment type, and working unit
Design and Methods: This study is a secondary data analysis of data from a 2008-2009 survey of registered nurses in general hospitals in China. Job dissatisfaction and burnout were measured by job dissatisfaction scale and the Maslach Burnout Inventory respectively. Nurse characteristics included gender, employment type, education background, work experience, and working unit. Robust logistic regression was used to exam the association between job dissatisfaction/burnout and nurse characteristics.
Findings: Our final sample included 8,709 nurses working in 180 hospitals in China. The average number of nurse respondents per hospital was 48. We found 46% of the nurses expressed dissatisfaction with their current job and 38% reported high burnout. From logistic regression model, we found employment type significantly affected both job dissatisfaction (OR=1.33, 95% CI: 1.17-1.51) and burnout (OR=1.30, 95% CI: 1.15-1.48) when controlling other nurse characteristics; similarly, working unit (surgical VS. medical) had significant effects on job dissatisfaction (OR=0.81, 95% CI: 0.70-0.92) and burnout (OR=0.85, 95% CI: 0.73-0.98). We also found nurse job dissatisfaction was significantly influenced by nursing education (OR=1.40, 95% CI: 1.17-1.68) and nurse work experience (OR=1.01, 95% CI: 1.00-1.02).
Conclusion: Large proportion of nurses in China expressed dissatisfaction with their job and experienced high burnout. Chinese nurses’ perception of job dissatisfaction and burnout were affected by employment type, working unit, education background, and work experience.
Clinical Relevance: Chinese policy makers and administrators of health institutes should put a focus on reducing nurse job dissatisfaction and burnout in the process of improving quality of care.