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Abstract
Background and Purpose
To examine computational measures of job-related burnout to determine the best computation to estimate job satisfaction and intent to leave in Brazilian nursing professionals.
Methods
Maslach Burnout Inventory-Human Services Survey (MBI-HSS) was used assess burnout in 452 hospital-based nursing professionals. Adjusted logistic regression models were fit using different computations of burnout to estimate outcomes of interest.
Results
Total mean score of burnout subscales was the best estimate of job satisfaction (Cox-Snell R2 = 0.312; Nagelkerke R2 = 0.450) and intent to leave (Cox-Snell R2 = 0.156; Nagelkerke R2 = 0.300), as was high emotional exhaustion (Cox-Snell R2 = 0.219; Nagelkerke R2 = 0.316).
Conclusion
We have provided evidence that different computations of data from the Portuguese (Brazil) MBI-HSS can be used in to estimate the effect of job-related burnout on nurse outcomes.
Article usage
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