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http://dx.doi.org/10.5762/KAIS.2013.14.1.301

Analysis of Utilization Characteristics, Health Behaviors and Health Management Level of Participants in Private Health Examination in a General Hospital  

Kim, Yoo-Mi (Dept. of Health Policy & Management, Sangji University)
Park, Jong-Ho (Kyeimyoung University, Dongsan Medical Center)
Kim, Won-Joong (Dept. of Health Policy & Management, InJe University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.14, no.1, 2013 , pp. 301-311 More about this Journal
Abstract
This study aims to analyze characteristics, health behaviors and health management level related to private health examination recipients in one general hospital. To achieve this, we analyzed 150,501 cases of private health examination data for 11 years from 2001 to 2011 for 20,696 participants in 2011 in a Dae-Jeon general hospital health examination center. The cluster analysis for classify private health examination group is used z-score standardization of K-means clustering method. The logistic regression analysis, decision tree and neural network analysis are used to periodic/non-periodic private health examination classification model. 1,000 people were selected as a customer management business group that has high probability to be non-periodic private health examination patients in new private health examination. According to results of this study, private health examination group was categorized by new, periodic and non-periodic group. New participants in private health examination were more 30~39 years old person than other age groups and more patients suspected of having renal disease. Periodic participants in private health examination were more male participants and more patients suspected of having hyperlipidemia. Non-periodic participants in private health examination were more smoking and sitting person and more patients suspected of having anemia and diabetes mellitus. As a result of decision tree, variables related to non-periodic participants in private health examination were sex, age, residence, exercise, anemia, hyperlipidemia, diabetes mellitus, obesity and liver disease. In particular, 71.4% of non-periodic participants were female, non-anemic, non-exercise, and suspicious obesity person. To operation of customized customer management business for private health examination will contribute to efficiency in health examination center.
Keywords
Private health examination; Cluster analysis; Decision tree; Customer relationship management;
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Times Cited By KSCI : 10  (Citation Analysis)
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