Journal List > J Korean Acad Nurs > v.45(6) > 1003129

Kim and Ryu: Structural Equation Modeling of Quality of Work Life in Clinical Nurses based on the Culture-Work-Health Model

Abstract

Purpose

The purpose of this study was to construct and test a structural equation model of quality of work life for clinical nurses based on Peterson and Wilson's Culture-Work-Health model (CWHM).

Methods

A structured questionnaire was completed by 523 clinical nurses to analyze the relationships between concepts of CWHM-organizational culture, social support, employee health, organizational health, and quality of work life. Among these conceptual variables of CWHM, employee health was measured by perceived health status, and organizational health was measured by presenteeism. SPSS21.0 and AMOS 21.0 programs were used to analyze the efficiency of the hypothesized model and calculate the direct and indirect effects of factors affecting quality of work life among clinical nurses.

Results

The goodness-of-fit statistics of the final modified hypothetical model are as follows: χ2=586.03, χ2/df=4.19, GFI=.89, AGFI=.85, CFI=.91, TLI=.90, NFI=.89, and RMSEA=.08. The results revealed that organizational culture, social support, organizational health, and employee health accounted for 69% of clinical nurses' quality of work life.

Conclusion

The major findings of this study indicate that it is essential to create a positive organizational culture and provide adequate organizational support to maintain a balance between the health of clinical nurses and the organization. Further repeated and expanded studies are needed to explore the multidimensional aspects of clinical nurses' quality of work life in Korea, including various factors, such as work environment, work stress, and burnout.

Figures and Tables

Figure 1

Conceptual framework based on Culture-Work-Health Model.

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Figure 2

Path diagram of modified Culture-Work-Health Model.

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Table 1

Descriptive Statistics of Observed Variables (N =523)

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Table 2

Model Fit of the Modified Model

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RMSEA=Root mean square error of approximation residual; GFI=Goodness-of-fit index; AGFI=Adjusted goodness-of-fit; TLI=Tucker-Lewis index; CFI=Comparative fit index; NFI=Normed fit index.

Table 3

Effect of Predictor Variables in the Modified Model

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SMC=Squared Multiple Correlation.

Notes

CONFLICTS OF INTEREST The authors have no conflict of interest to declare.

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

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