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Original Article
Structural Equation Modeling on Burnout in Clinical Nurses based on CS-CF Model
Hyun-Jung Kim, Young-Hee Yom
Journal of Korean Academy of Nursing 2014;44(3):259-269.
DOI: https://doi.org/10.4040/jkan.2014.44.3.259
Published online: June 30, 2014

1Department of Nursing, Daewon University College, Jechon, Graduate School, Chung-Ang University, Seoul, Korea.

2Red Cross College of Nursing, Chung-Ang University, Seoul, Korea.

Address reprint requests to: Yom, Young-Hee. Red Cross College of Nursing, Chung-Ang University, 224-1 Heukseok-dong, Dongjak-gu, Chung-Ang University, Seoul 156-755, Korea. Tel: +82-2-820-5700, Fax: +82-2-824-7691, yhyom@cau.ac.kr
• Received: January 20, 2014   • Revised: February 7, 2014   • Accepted: May 1, 2014

© 2014 Korean Society of Nursing Science

This is an Open Access article distributed under the terms of the Creative Commons Attribution NoDerivs License. (http://creativecommons.org/licenses/by-nd/4.0/) If the original work is properly cited and retained without any modification or reproduction, it can be used and re-distributed in any format and medium.

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  • Purpose
    The purpose of this study was to construct and test a structural equation modeling on burnout of clinical nurses based on CS-CF model.
  • Methods
    A survey using a structured questionnaire was conducted with 557 clinical nurses. Data were analyzed using structural equation modeling.
  • Results
    The modified hypothetical model yielded the following χ2=289.70, p<.001, RMSEA=.09, GFI=.93, TLI=.91, CFI=.94, PCFI=.65, AIC=363.21, SRMR=.05 or less and showed good fit indices. Nursing work environment, patient safety culture and resilience showed indirect effects on burnout while compassion fatigue and compassion satisfaction had direct effects.
  • Conclusion
    Results of this study suggest that compassion fatigue must be decreased and compassion satisfaction has to be increased, while burnout is lowered by enhancing the clinical nursing work environment, patient safety culture and resilience. In addition, more variables and longitudinal studies are necessary to validate the clear cause-and-effect relationship between the relevant variables.
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Figure 1
Conceptual framework.
jkan-44-259-g001.jpg
Figure 2
Path diagram of the model.
jkan-44-259-g002.jpg
Table 1
Descriptive Statistics of Study Variable (N=557)
jkan-44-259-i001.jpg
Table 2
Parameter Estimates and SMC of Modified Structural Model
jkan-44-259-i002.jpg

CR=Critical ratio; SMC=Squared multiple correlation.

Table 3
Effect of Predictor Variables in the Modified Model
jkan-44-259-i003.jpg

*p<.05; p<.01; β=Standardized regression coefficients; SMC=Squared multiple correlation.

Figure & Data

REFERENCES

    Citations

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    Structural Equation Modeling on Burnout in Clinical Nurses based on CS-CF Model
    Image Image
    Figure 1 Conceptual framework.
    Figure 2 Path diagram of the model.
    Structural Equation Modeling on Burnout in Clinical Nurses based on CS-CF Model

    Descriptive Statistics of Study Variable (N=557)

    Parameter Estimates and SMC of Modified Structural Model

    CR=Critical ratio; SMC=Squared multiple correlation.

    Effect of Predictor Variables in the Modified Model

    *p<.05; p<.01; β=Standardized regression coefficients; SMC=Squared multiple correlation.

    Table 1 Descriptive Statistics of Study Variable (N=557)

    Table 2 Parameter Estimates and SMC of Modified Structural Model

    CR=Critical ratio; SMC=Squared multiple correlation.

    Table 3 Effect of Predictor Variables in the Modified Model

    *p<.05; p<.01; β=Standardized regression coefficients; SMC=Squared multiple correlation.


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