Journal List > J Korean Acad Nurs > v.43(1) > 1002889

This article has been corrected. See "Corrigendum" in Volume 43 on page 821.
Yom: Analysis of Burnout and Job Satisfaction among Nurses Based on the Job Demand-Resource Model

Abstract

Purpose

The purpose of this study was to examine burnout and job satisfaction among nurses based on Job Demand-Resource Model.

Methods

A survey using a structured questionnaire was conducted with 464 hospital nurses. Analysis of data was done with both SPSS Win 17.0 for descriptive statistics and AMOS 18.0 for the structural equation model.

Results

The hypothetical model yielded the following Chi-square=34.13 (p = <.001), df=6, GFI=.98, AGFI=.92, CFI=.94, RMSR=.02, NFI=.93, IFI=.94 and showed good fit indices. Workload had a direct effect on emotional exhaustion (β = 0.39), whereas supervisor support had direct effects on emotional exhaustion (β = -0.24), depersonalization (β = -0.11), and low personal accomplishment (β = -0.22). Emotional exhaustion (β = -0.42), depersonalization (β = -0.11) and low personal accomplishment (β = -0.36) had significant direct effects on job satisfaction.

Conclusion

The results suggest that nurses' workload should be decreased and supervisor's support should be increased in order to retain nurses. Further study with a longitudinal design is necessary.

Figures and Tables

Figure 1
Conceptual framework.
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Figure 2
Path diagram of the hypothetical model.
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Table 1
Means and Correlations among Variables
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Table 2
Goodness Fit Indices for the Hypothetical Model
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GFI=Goodness of fit index; AGFI=Adjusted goodness of fit index; CFI=Comparative fit index; RMSR=Root mean squared residual; NFI=Normed fit index; IFI=Incremental fit index.

Table 3
Standardized Direct Effect, Indirect Effect, and Total Effect in the Hypothetical Model
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SMC=Squared multiple correlation.

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