J Korean Acad Nurs. 2009 Aug;39(4):518-527. Korean.
Published online Aug 31, 2009.
Copyright © 2009 Korean Society of Nursing Science
Original Article

A Prediction Model Development on Quality of Life in Kidney Transplant Recipients

Hye Sook Kim,1 and Hyang Sook So2
    • 1Full-time Lecturer, Department of Nursing, Chodang University, Muan, Korea.
    • 2Professor, College of Nursing, Chonnam National University, Gwangju, Korea.
Received October 09, 2008; Accepted July 21, 2009.

Abstract

Purpose

The purpose of this study was to identify factors influencing quality of life in kidney transplant recipients and to understand the concrete pathway of influence and the power of each variable, so that integrated prediction model to promote the quality of life of kidney transplant recipients could be developed.

Methods

The sample was composed of 218 patients in follow-up care after a kidney transplant in one of 4 university hospitals in the Honam area. A structured questionnaire was used and the collected data were analyzed for fitness, using the LISREL program.

Results

This model was concise and extensive in predicting the quality of life of kidney transplant recipients.

Conclusion

The research verified the factors influencing quality of life for kidney transplant recipients and it verified that direct factors such as perception of health state, compliance, self-efficacy, stress and indirect factors such as self-efficacy and social support can be important factors to predict the quality of life for recipients. Moreover, those variables represent 87% of variance in explaining quality of life in a prediction model so that the variables can be utilized to predict quality of life for kidney transplant recipients.

Keywords
Kidney transplant recipient; Quality of life

Figures

Figure 1
Path diagram for hypothetical model.

*p<.05; **p<.01. χ5=Medical personnel support; χ6=Family support.

Figure 2
Path diagram for modified model.

*p<.05; **p<.01. χ5=Medical personnel support; χ6=Family support.

Tables

Table 1
Descriptive Statistics of Observed Variables (N=218)

Table 2
Fitness Index for the Modified and Hypothetical Model (N=218)

Table 3
Lisrel Estimates for the Modified Model and Direct, Indirect & Total Effects (N=218)

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