Res Community Public Health Nurs.  2023 Mar;34(1):1-11. 10.12799/rcphn.2022.00283.

A Path Analysis for Health-related Quality of Life in Long-term Care Insurance In-home Service Users

Affiliations
  • 1Director, Cheongju Joo Chan Mi Visiting Nursing Center, Cheongju, Korea
  • 2Professor, Department of Nursing Science, Chungbuk National University, Cheongju, Korea

Abstract

Purpose
The purpose of this study is to construct and verify a path model for the factors affecting on quality of life in long-term care insurance in-home service users.
Methods
Total 246 participants using long-term care insurance in-home service were recruited from long-term care agencies. Data collection was conducted using a structured questionnaire from March 1st to March 31st 2021. The collected data were analyzed using SPSS 26 and AMOS 26 programs.
Results
The hypothetical path model was suitable for explaining the health-related quality of life in long-term care insurance in-home service users and has an explanatory power of 39.8%. Long-term care grade, depression, perceived health status, social support, age and living arrangement had a significant total effect on the quality of life in long-term care insurance in-home service users.
Conclusion
Long-term care insurance in-home service policies need to be expanded, such as screening and relieving depression, strengthening social support, and fostering a positive perception of health to improve the quality of life of the elderly.

Keyword

long-term care; insurance; quality of life; depression; social support; 장기요양; 보험; 삶의 질; 우울; 사회적 지지
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