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

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.