For the last several decades, the elderly population has increased due to the improvement of living standards, such as the development of healthcare technology and the increase of interest in the public health. However, as the industrialization and urbanization of our country has progressed and the social participation of women has increased, the problem of the elderly care was emerged. Hence, based on the social solidarity principle in the matter of individual and family the long - term care insurance system was introduced.
The long-term care insurance has been recognized as a necessary system, particularly the number of home visiting care institutions has rapidly increased since 2008. However, the issue of the deteriorated service quality has been continuously raised. As a result many researches has been conducted on the satisfaction analysis of the service recipient or the job satisfaction of the care helper. Yet, few was done in characteristic analysis and classification of the home visiting care institutions.
Therefore, the objectives of this paper were to classify the types of home visiting care institutions in long-term care insurance system and analyse the characteristics of each type and suggest implications for service improvement on the service providers'' side.
The questionnaire survey of 202 home visiting care institutions was conducted in Daejeon, Chungnam, and Sejong area for the empirical analysis. Factor analysis and cluster analysis were employed to classify the types and characteristics of home visiting care institutions. In addition, Tobit regression analysis was done in order to examine the major variables affecting the system outcome.
Through the factor analysis, 24 individual variables were factorized into 6 factors, and all the home visiting care institutions were classified into 6 types based on the factor scores by applying the cluster analysis. Each type of home visiting institutions showed significant differences in terms of the rate and opinion of accepting the policy implementation by the National Health Insurance Corporation''s Long-term Care Insurance. Therefore, the need for customized policies is strongly suggested depending on the type differences of home visiting institutions, in order to improve the service quality.
In addition, we examined the factors affecting the RFID transmission rate, the representative''s satisfaction rate, and the evaluation rating of the home visiting institutions, by estimating the Tobit regression models.