In Ohg Oh; Sunah Kim

doi:10.4040/jkan.2015.45.1.97

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Original Article
Structural Equation Model for Caregiving Experience of Families Providing Care for Family Members with Mental Disorders: In Ohg Oh, Sunah Kim; Journal of Korean Academy of Nursing 2015;45(1):97-106.
DOI: https://doi.org/10.4040/jkan.2015.45.1.97
Published online: February 27, 2015

¹National Health Insurance Service Ilsan Hospital, Goyang, Korea.

²College of Nursing, Yonsei University · Nursing Policy Research Institute, College of Nursing, Yonsei University, Seoul, Korea.

Address reprint requests to: Kim, Sunah. College of Nursing, Yonsei University, 50-1 Yonsei-ro, Seodaemun-gu, Seoul 120-752, Korea. Tel: +82-2-2228-3275, Fax: +82-2-392-5440, PSY0962@yuhs.ac

• Received: July 22, 2014 • Revised: August 10, 2014 • Accepted: December 31, 2014

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.

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Abstract
NOTES
REFERENCES

Abstract

Purpose
This study was done to develop and test a structural model for caregiving experience including caregiving satisfaction and caregiving strain in families providing care for family members with a mental disorder.
Methods
The Stress-appraisal-coping model was used as the conceptual framework and the structural equation model to confirm the path that explains what and how variables affect caregiving experience in these families. In this hypothesis model, exogenous variables were optimism, severity of illness and uncertainty. The endogenous variables were self efficacy, social support, caregiving satisfaction and caregiving strain. Data were collected using structured questionnaires.
Results
Optimism and caregiving self-efficacy had significant direct and indirect effects on caregiving satisfaction. Optimism, severity of illness and uncertainty had significant direct and indirect effects on caregiving strain. The modified path model explained effects of optimism on caregiving self-efficacy with social support in the path structure as a mediator. Also, there were direct and indirect effects of optimism and uncertainty on caregiving satisfaction with social support and caregiving self-efficacy in the path structure as a mediators.
Conclusion
Results suggest the need to improve caregiving self-efficacy of these families, establish support systems such as a mental health professional support programs for caregiving self-efficacy. Optimism, severity of illness and uncertainty perceived by families need to be considered in the development of support programs in order to increase their effectiveness.
Keywords: Structural model; Family caregivers; Mental disorders

This article is a condensed form of the first author's doctoral thesis from Yonsei University.

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Figure 1

Conceptual framework.

Figure 2

Path of modified model.

Table 1

Demographic Characteristics of Subjects (N=200)

Table 2

Comparison of Model Fit of Modified Model to Hypothetical Model

GFI=Goodness of Fit Index; AGFI=Adjusted Goodness of Fit Index; NFI=Normal Fit Index; CFI=Comparative Fit Index; RMSEA=Root Mean Square Error of Approximation.

Table 3

Standardized Estimate of Modified Model

^*p<.05; ^†p<.01; ^‡p<.001; SMC=Squared multiple correlations.

Figure & Data

REFERENCES

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Structural Equation Model for Caregiving Experience of Families Providing Care for Family Members with Mental Disorders

J Korean Acad Nurs. 2015;45(1):97-106. Published online February 27, 2015

DOI: https://doi.org/10.4040/jkan.2015.45.1.97

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Structural Equation Model for Caregiving Experience of Families Providing Care for Family Members with Mental Disorders

Figure 1 Conceptual framework.

Figure 2 Path of modified model.

Figure 1

Figure 2

Structural Equation Model for Caregiving Experience of Families Providing Care for Family Members with Mental Disorders

Table 1

Demographic Characteristics of Subjects (N=200)

Table 2

Comparison of Model Fit of Modified Model to Hypothetical Model

GFI=Goodness of Fit Index; AGFI=Adjusted Goodness of Fit Index; NFI=Normal Fit Index; CFI=Comparative Fit Index; RMSEA=Root Mean Square Error of Approximation.

Table 3

Standardized Estimate of Modified Model

^*p<.05; ^†p<.01; ^‡p<.001; SMC=Squared multiple correlations.

Table 1 Demographic Characteristics of Subjects (N=200)

Table 2 Comparison of Model Fit of Modified Model to Hypothetical Model

GFI=Goodness of Fit Index; AGFI=Adjusted Goodness of Fit Index; NFI=Normal Fit Index; CFI=Comparative Fit Index; RMSEA=Root Mean Square Error of Approximation.