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.
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