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Original Article
A Prediction Model for Unmet Needs of Elders with Dementia and Caregiving Experiences of Family Caregivers
Sora Choi, Myonghwa Park
Journal of Korean Academy of Nursing 2016;46(5):663-674.
DOI: https://doi.org/10.4040/jkan.2016.46.5.663
Published online: October 31, 2016

1Department of Nursing, Chungbuk Health & Science University, Cheongju, Korea.

2College of Nursing, Chungnam National University, Daejeon, Korea.

Address reprint requests to : Park, Myonghwa. College of Nursing, Chungnam National University, 266 Munhwa-ro, Jung-gu, Daejeon 35015, Korea. Tel: +82-42-580-8328, Fax: +82-42-580-8309, mhpark@cnu.ac.kr
• Received: January 24, 2016   • Revised: May 19, 2016   • Accepted: June 19, 2016

© 2016 Korean Society of Nursing Science

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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  • Purpose
    The purposes of this study were to develop and test a prediction model for caregiving experiences including caregiving satisfaction and burden in dementia family caregivers.
  • Methods
    The stress process model and a two factor model were used as the conceptual frameworks. Secondary data analysis was done with 320 family caregivers who were selected from the Seoul Dementia Management Survey (2014) data set. In the hypothesis model, the exogenous variable was patient symptomatology which included cognitive impairment, behavioral problems, dependency in activity of daily living and in instrumental activity of daily living. Endogenous variables were caregiver's perception of dementia patient's unmet needs, caregiving satisfaction and caregiving burden. Data were analysed using SPSS/WINdows and AMOS program.
  • Results
    Caregiving burden was explained by patient symptomatology and caregiving satisfaction indicating significant direct effects and significant indirect effect from unmet needs. The proposed model explained 37.8% of the variance. Caregiving satisfaction was explained by patient symptomatology and unmet needs. Mediating effect of unmet needs was significant in the relationship between patient symptomatology and caregiving satisfaction.
  • Conclusion
    Results indicate that interventions focusing on relieving caregiving burden and enhancing caregiver satisfaction should be provided to caregivers with high levels of dementia patients' unmet needs and low level of caregiving satisfaction.
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Figure 1

Conceptual framework of the study.

jkan-46-663-g001.jpg
Figure 2

Path diagram of the final model.

jkan-46-663-g002.jpg
Table 1

General and Care-related Characteristics of Patients and Family Caregivers (N=320)

jkan-46-663-i001.jpg

*Missing data were excluded.

Table 2

Descriptive Statistics of Observed Variables (N=320)

jkan-46-663-i002.jpg

ADL=Activity of daily living; IADL=Instrumental activity of daily living.

Table 3

Factor Loading of Confirmatory Factor Analysis (N=320)

jkan-46-663-i003.jpg

β=Standardized coefficients; CR=Critical ratio; CCR=Composite construct reliability; AVE=Average variance extracted; ADL=Activity of daily living; IADL=Instrumental activity of daily living.

Table 4

Standardized Direct, Indirect, and Total Effects for the Final Model

jkan-46-663-i004.jpg

β=Standardized coefficients; CR=Critical ratio; SMC=Squared multiple correlation

Figure & Data

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      A Prediction Model for Unmet Needs of Elders with Dementia and Caregiving Experiences of Family Caregivers
      Image Image
      Figure 1 Conceptual framework of the study.
      Figure 2 Path diagram of the final model.
      A Prediction Model for Unmet Needs of Elders with Dementia and Caregiving Experiences of Family Caregivers

      General and Care-related Characteristics of Patients and Family Caregivers (N=320)

      *Missing data were excluded.

      Descriptive Statistics of Observed Variables (N=320)

      ADL=Activity of daily living; IADL=Instrumental activity of daily living.

      Factor Loading of Confirmatory Factor Analysis (N=320)

      β=Standardized coefficients; CR=Critical ratio; CCR=Composite construct reliability; AVE=Average variance extracted; ADL=Activity of daily living; IADL=Instrumental activity of daily living.

      Standardized Direct, Indirect, and Total Effects for the Final Model

      β=Standardized coefficients; CR=Critical ratio; SMC=Squared multiple correlation

      Table 1 General and Care-related Characteristics of Patients and Family Caregivers (N=320)

      *Missing data were excluded.

      Table 2 Descriptive Statistics of Observed Variables (N=320)

      ADL=Activity of daily living; IADL=Instrumental activity of daily living.

      Table 3 Factor Loading of Confirmatory Factor Analysis (N=320)

      β=Standardized coefficients; CR=Critical ratio; CCR=Composite construct reliability; AVE=Average variance extracted; ADL=Activity of daily living; IADL=Instrumental activity of daily living.

      Table 4 Standardized Direct, Indirect, and Total Effects for the Final Model

      β=Standardized coefficients; CR=Critical ratio; SMC=Squared multiple correlation


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