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.
PURPOSE The purpose of this study was to identify the factors influencing health-related quality of life among spouses of older adults with dementia based on an ecological model. METHODS This study used data from the 2015 Korean Community Health Survey with the subjects of 541 spouses of older adults with dementia. The data were analyzed using descriptive statistics, independent t-test, ANOVA, and hierarchical multiple regression. RESULTS In this study, 26.5% of quality of life was explained by employment status, physical activity, perception of stress, perception of depressive symptom, self-rated health status, self-rated oral health status, and contact with neighbors. CONCLUSION To develop more effective nursing intervention for improvement of quality of life, it needs to consider not only the individual system related factors but also community system related factors including contact with neighbors.
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PURPOSE The purpose of this meta-analysis isto identify social psychological factors related to quality of life and estimate the effect sizes of the factors among patients with strokes. METHODS Thirteen studies with a total of 1,814 patients published from the earliest records to January 8, 2017 were selected through a systematic process of searching the literature, and evaluated against influencing factors of quality of life and their effect sizes. Pooled effect sizes were calculated using the random effect model. Meta-analysis was conducted by R software. RESULTS The following influencing factors had a strong association with quality of life with stroke: depression (r=−.50; 95% CI: −0.63~−0.46), activities of daily living (r=.46; 95% CI: 0.35~0.56), and social support (r=.40; 95% CI: 0.24~0.53). CONCLUSION The findings confirm that depression, activities of daily living and social support are associated with quality of life among patients with stroke survivors. We recommend that any intervention program to improve the quality of life with stroke patients consider addressing these modifiable influencing factors.
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