앤더슨 모형을 이용한 노인 의료비 지출 분석

초록

This study, using growth mixture model, explored the latent classes of elderly medical expenses using the 2015-2018 data from the Korea Health Panel (KHP). Multi-nominal logistic analysis as well as descriptive statistics were utilized to explore influencing factors on latent classes. Influencing factors were classified into three factors of Andersen model. As a result of the analysis, the multi-year trajectories of elderly medical expenses were classified into four subgroups. Most of the elderly belonged to Low group. The medical care recipients were more likely to belong to Low group, and the chronic patients were more likely to belong to the group that spent more medical expenses than the Low group. Based on the results, it is necessary to consider the level of medical expenses of the elderly, who have little economic activity. In addition to the income level and chronic diseases of the elderly, should be further explored to establish appropriate medical services for the elderly.

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