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Kim and Yom: Structural Equation Modeling on Burnout in Clinical Nurses based on CS-CF Model
Original Article

Journal of Korean Academy of Nursing 2014; 44(3): 259-269.

Published online: 30 June 2014

DOI: https://doi.org/10.4040/jkan.2014.44.3.259

Structural Equation Modeling on Burnout in Clinical Nurses based on CS-CF Model

Hyun-Jung Kim1, Young-Hee Yom2

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 20 January 2014       Revised 7 February 2014       Accepted 1 May 2014

© 2014 Korean Society of Nursing Science

(open-access):

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.

Abstract

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.

Keywords: Environment, Nurses, Fatigue, Burnout

Figures and Tables

Figure 1
Conceptual framework.
jkan-44-259-g001
Figure 2
Path diagram of the model.
jkan-44-259-g002
Table 1
Descriptive Statistics of Study Variable (N=557)
jkan-44-259-i001
Table 2
Parameter Estimates and SMC of Modified Structural Model
jkan-44-259-i002

CR=Critical ratio; SMC=Squared multiple correlation.

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

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

Notes

This manuscript is based on a part of the first author's doctoral dissertation from Chung-Ang University.

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