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Background@#The purpose of this study is to analyze the current status and factors of elderly patients’ hospitalization for hip replacement, knee replacement, and general spine surgery. @*Methods@#National health insurance data in 2018 was provided by the National Health Insurance Service. We used multiple regression to analyze factors associated with the medical utilization of hip replacement, knee replacement, and general spine surgery in elderly patients over 65 years old. The dependent variables are the length of stay and total health expenditure. The independent variables are the demographic-social factors (sex, age, region, insurance type, income level) and surgery-related factors (institution type, location of the hospital, surgery classification). @*Results@#The most common factor affecting surgery was the location of medical institutions. Compared with the medical institutions located in metropolitan, the length of stay in rural medical institutions was higher and total health expenditure was lower. The lower quartile of income, the higher the length of stay and total health expenditure. In addition, the variables of age, type of health insurance, and type of medical institution were statistically significant. @*Conclusion@#In this study, we confirmed the effect of sociodemographic factors and medical institution factors on the Healthcare Utilization of spinal and joint surgery.
RESUMO
Background@#Based on the importance of ceasing smoking programs to control the regional disparity of smoking behavior in Korea, this study aims to reveal the variation of smoke rate and determinants of it for 229 provinces. An evaluation of the relative efficiency of the cease smoking program under the consideration of regional characteristics was followed. @*Methods@#The main sources of data are the Korean Statistical Information Service and a national survey on the expenditure of public health centers. Multivariate regression is performed to figure the determinants of regional variation of smoking rate. Based on the result of the regression model, clustering analysis was conducted to group 229 regions by their characteristics. Three clusters were generated. Using data envelopment analysis (DEA), relative efficiency scores are calculated. Results from the pooled model which put 229 provinces in one model to score relative efficiency were compared with the cluster-separated model of each cluster. @*Results@#First, the maximum variation of the smoking rate was 16.9%p. Second, sex ration, the proportion of the elder, and high risk drinking alcohol behavior have a significant role in the regional variation of smoking. Third, the population and proportion of the elder are the main variables for clustering. Fourth, dissimilarity on the results of relative efficiency was found between the pooled model and cluster-separated model, especially for cluster 2. @*Conclusion@#This study figured regional variation of smoking rate and its determinants on the regional level. Unconformity of the DEA results between different models implies the issues on regional features when the regional evaluation performed especially on the programs of public health centers.