J Korean Acad Nurs. 2013 Feb;43(1):20-29. Korean.
Published online Feb 28, 2013.
© 2013 Korean Society of Nursing Science
Original Article

Structural Equation Modeling on Nursing Productivity of Nurses in Korea

Se Young Kim,1 Eun-Kyung Kim,2 Heon Man Lim,3 Mi Young Lee,4 Kwang-Ok Park,5 and Kyoung A Lee6
    • 1College of Nursing, Eulji University, Daejeon, Korea.
    • 2Department of Nursing, Chungbuk National University, Cheongju, Korea.
    • 3Appenzeller School of Public Administration, Paichai University, Daejeon, Korea.
    • 4Nursing Department, Eulji University Hospital, Daejeon, Korea.
    • 5Department of Nursing, Sunchon National University, College of Life Science and Natural Resources, Sunchon, Korea.
    • 6The Research Institute of Nursing Science, Seoul National University, Seoul, Korea.
Received April 20, 2012; Accepted September 18, 2012.

Abstract

Purpose

The purpose of this study was to propose and test a predictive model that could explain and predict nursing productivity.

Methods

A survey using a structured questionnaire was conducted with 360 nurses in Korea. The data were analyzed using SPSS Windows 18.0 and AMOS 19.0 program.

Results

Based on the constructed model, burnout and organizational commitment were found to have direct effects on nurses' turnover intention and nursing productivity. While nursing work environment was found to have indirect effects on nurses' turnover intention and nursing productivity.

Conclusion

This structural equational model is a comprehensive theoretical model that explains the related factors and their relationship with nursing productivity. Comprehensive organizational interventions to improve nursing productivity should focus on improving the nursing work environment. Findings from this study can be used to design appropriate strategies to decrease nurse turnover in Korea. Further studies are needed to prospectively verify these causal relationships with larger samples.

Keywords
Efficiency organizational; Personnel turnover; Environment

Figures

Figure 1
Hypothetical model with parameter estimates for nursing productivity

Figure 2
Path diagram of the model.

Tables

Table 1
Pearson Coefficient Correlation for Measured Variables (N=360)

Table 2
Parameter Estimates and SMC of Modified Structural Model (N=360)

Table 3
Effect of Predictor Variables in the Modified Model (N=360)

Notes

This study was supported by Eulji University in 2010 (EJRG-10-002-11E36).

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