英文摘要
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Objective: To investigate the effect of standard and nonstandard characteristics on the approved home care service hours for disabled elderly among care managers under Ten-Year Long-term Care Program. Method: A cross-sectional design was used to investigate the factors related to the approved home care service hours in disabled elderly in 2013. Disability level and cognitive function were used as standard characteristics, whereas the characteristics of home care cases and their family caregivers, the workload of care managers, and the region resources served as nonstandard variables. Data analyses were conducted using a generalized estimating equation (GEE) because some subjects were repeatedly observed in the ten-year plan of long-term care database. Results: The monthly average approved home care service hours for disabled elderly in 2013 was 29.1 hours. Subjects with mild, moderate, and severe disabilities were 16.1, 29.8, and 39.1 hours, respectively. The approved home care service hours were significantly higher in the subjects with more severe disability, older, disability card, married, living with family members, good care quality, high burden of family caregivers and numbers of nurse aide in different county/city. The explanatory power of initial model included the level of disability and cognitive function was 20.66%. After controlling the characteristics of disabled elderly and their family caregivers, the workload of care managers, the resources of nurse aide in region, and county/city, the explanatory power were 24.64%, 24.74%, 25.88%, and 31.38%, respectively. Conclusion: The approved home care service hours for the disabled elderly was inconsistency, and with low R-squared. Besides of standard characteristics of disabled elderly, nonstandard characteristics such as age, with disability card, without spouse, live with family members, good care quality and high burden of family caregivers, living in different city/county were associated with approved home care service hours. Therefore, multi-dimensional assessment tool were needed in long term care program Version 2.0. However, the manpower of nurse aide was the key variable to influence the home care service hours among county/city. We suggested government should play more attention on the amount and stability of the market of nurse aide.
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