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KMID : 1142920190030010071
Public Health Affairs
2019 Volume.3 No. 1 p.71 ~ p.81
Categorization of Long Term Care Hospital in Korea Using Cluster Analysis
Park Soo-Kyung

Lee Yeon-Ju
Abstract
Objective: This study aimed to categorize the long-term care hospitals (LTCHs) in Korea and to analyze their characteristics.

Methods: We analyzed health insurance claims data, entitlement data, and institutional administrative data from the National Health Insurance Service databases between 2016 and 2018. We examined the general characteristics and cluster analysis by inpatient case-mix using by K-Means clustering.

Results: The LTCH inpatients were more likely to be aged 75+, highest income, neurology and psychiatry, impaired cognition and reduced physical function group. Cluster analysis identified four types of LTCHs. LTCH inpatients in cluster 1 (n=254) were more likely to be aged ?65, reduced physical function group, and average length of stay(LOS) was shorter than other clusters. Cluster 2 (n=488) were more likely to be high medical care group. Cluster 3 (n=709) were more likely to be aged 75+, impaired cognition group, and LOS was longer than other clusters. Cluster 4 (n=185) were psychiatry hospital.

Conclusion: We confirmed that there are 4 types of LTCHs in Korea and they have their own specificity and complexity, respectively. Hospital characteristics need to be considered in policies development of LTCHs.
KEYWORD
long-term care hospital(LTCHs), case-mix, characterization, Cluster analysis, Korea
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