• 한국노년학
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• v.40 no.4
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• pp.577-598
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• 2020

As the socialization of care is progressing rapidly, the necessity of community-level mental health intervention for older adults with severe social isolation and depression is also increasing. In line with the reorganization of the Individualized Support Services for Older Adults in 2020, the social relations revitalization project for the elderly living alone, which had been conducted as a pilot project in 2014~19, was expanded and reorganized into a separate specialized project within the Individualized Support Services for Older Adults. The purpose of this study is to enhance understanding of the specialized service and to clarify its conceptual framework. The characteristics and conceptual framework of the specialized service were examined through a review of the process of institutionalization of the specialized service, which included analysis of related literature and the pilot projects. Finally, it discussed what to consider in order for the specialized service to proceed as intended in the future, focusing on a couple of situations that occur at the fields.

• The Korean Journal of Applied Statistics
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• v.35 no.4
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• pp.457-468
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• 2022

In aged society, it is important to prevent older people from being disability needing long-term care. The purpose of this study is to develop a prediction model to discover high-risk groups who are likely to be beneficiaries of Long-Term Care Insurance. This study is a retrospective study using database of National Health Insurance Service (NHIS) collected in the past of the study subjects. The study subjects are 7,724,101, the population over 65 years of age registered for medical insurance. To develop the prediction model, we used logistic regression, decision tree, random forest, and multi-layer perceptron neural network. Finally, random forest was selected as the prediction model based on the performances of models obtained through internal and external validation. Random forest could predict about 90% of the older people in need of long-term care using DB without any information from the assessment of eligibility for long-term care. The findings might be useful in evidencebased health management for prevention services and can contribute to preemptively discovering those who need preventive services in older people.