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

Research in Community and Public Health Nursing 2023³â 34±Ç 1È£ p.1 ~ 11
KMID : 1104420230340010001
±èÁöÇö ( Kim Je-Hyun ) - 

¹Ú½Â¹Ì ( Park Seung-Mi ) - 

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 26.0 and AMOS 26.0 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.
KeyWords
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long-term care, insurance, quality of life, depression, social support
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ÇмúÁøÈïÀç´Ü(KCI) KoreaMed