Korean J Adult Nurs. 2016 Aug;28(4):415-423. Korean.
Published online Aug 31, 2016.
© 2016 Korean Society of Adult Nursing
Original Article

A Structural Analysis for Psychosocial Variables related to Sick Role Behavioral Compliance in Hemodialysis Patients

Young-Mun Cho, Ph.D., APN
    • Assistant Professor, Department of Nursing, Dongshin University, Naju, Korea.
Received May 06, 2016; Revised June 22, 2016; Accepted August 22, 2016.

This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Purpose

This study was designed to identify the structural relationships among psychosocial variables related to sick role behavioral compliance among patients undergoing hemodialysis.

Methods

The subjects were 476 patients from seven major hospitals and twelve dialysis centers located in D and P cities. Data were collected using self-report questionnaires. Data analysis was done by using SPSS/WIN 18.0 and AMOS 18.0 programs for structural equation modeling, to estimate the hypothesized model.

Results

This findings support that a modified path model is efficient and appropriate to explain sick role behavioral compliance among hemodialysis patients. These factors account for 80.1% of the variance of sick-role behavioral compliance among hemodialysis patients. The variables having direct effect on sick role behavioral compliance were knowledge related to hemodialysis, social support, attitude, self-efficacy and intention.

Conclusion

The modified model explains the integration process of psychosocial and behavior variables for sick-role behavioral compliance among patients undergoing hemodialysis.

Keywords
Sick role; Behavior; Self-determination; Hemodialysis

Figures

Figure 2
Structural equation model of sick role behavioral compliance in hemodialysis patients.

Tables

Table 1
Descriptive Statistics for Latent Variables and Measured Variables (N=476)

Table 2
Fitness Statistics of Hypothetical Structural and Modified Model (N=476)

Table 3
Modified Model with Parameter Estimate (N=476)

Notes

This manuscript is a revision of the author's doctoral dissertation from Catholic University of Daegu.

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