• Journal of Society of Preventive Korean Medicine
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• v.22 no.2
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• pp.41-53
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• 2018

Objectives : It was to classify and its affecting factors to the patients of Korean medicine hospital with short term and long term hospitalization. Methods : I focused on long-term hospitalized patients. I was conducted on 344 hospitalized patients among the original data of usage and consumption of Korean medical report in 2014. Among those patients, I have classified them into long term inpatients(131 patients) and short term inpatients(213 patients) based on 16 days of hospitalization. Also multiple regression analysis was conducted to investigate the characteristics of the hospitalization, treatment satisfaction and dissatisfaction, the characteristics of long term hospitalization according to the sociodemographic of the subjects, the top 21 diseases and the distribution of human bodies, side effects and kinds of Korean medicine. Results : There was a statistically significant difference between the short term and long term hospitalized patients due to age, occupation, marital status, all 21 diseases and institutional fees, experience of Korean medical treatment due to traffic accidents. There was no significant difference in gender, education level, residence, income level, type of medical insurance, whether private insurance, type of medical treatment for Korean medicine, medical expenses for car accidents, reason for dissatisfaction with treatment. The number of long term patients at Korean medicine hospitals increased by a statistically significant by age in model 1 where confounding factors were differently controlled. In model 2, the number of long term patients at Korean medicine hospitals increased by a statistically significant by age, among those who earned 5,000,000 Korean won or more, and among those with nerve diseases. The number of long term patients at Korean medicine hospitals decreased by a statistically significant amount among the unemployed and others in model 2. In model 3, the number of long term patients at Korean medicine hospitals increased by a statistically significant by age, among those who earned 5,000,000 Korean won or more, and among those with nerve diseases, while the number decreased by a statistically significant amount among the married. Conclusions : These results suggest that the factors affecting the short term and long term hospitalization of patients with Korean medicine hospital are different from each other. Especially it was significant by age, over 5,000,000won Income per month, nerve disease, but decrease significant married.

• Health Policy and Management
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• v.31 no.2
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• pp.173-179
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• 2021

Background: In Korea, the length of stay and medical expenses incurred by medical aid patients are increasing at a rate faster than the national health insurance. Therefore, there is a need to create a management strategy for each type of hospitalization to manage the length of stay of medical aid patients. Methods: The study used data from the 2019 National Health Insurance Claims. We analyzed the factors that affect the length of stay for 186,576 medical aid patients who were hospitalized for more than 31 days, with a focus on the type of hospitalization in long-term care hospitals. Results: The study found a significant correlation between gender, age, medical aid type, chronic disease ratio, long-term care hospital patient classification, and hospitalization type variables as factors that affect the length of hospital stay. The analysis of the differences in the length of stay for each type of hospitalization showed that the average length of stay is 291.4 days for type 1, 192.9 days for type 2, and 157.0 days for type 3, and that the difference is significant (p<0.0001). When type 3 was 0, type 1 significantly increased by 99.4 days, and type 2 by 36.6 days (p<0.0001). Conclusion: A model that can comprehensively view factors, such as provider factors and institutional factors, needs to be designed. In addition, to reduce long stays for medical aid patients, a mechanism to establish an early discharge plan should be prepared and concerns about underutilization should be simultaneously addressed.

• Health Policy and Management
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• v.19 no.2
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• pp.36-50
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• 2009

Korean Government had performed three pilot programs to introduce the long term care insurance system. Persons aged 65 or older who are dependent on others for daily living could use long term care services in the pilot program. The long-term care insurance covered nursing home services, home care services and cash benefits. The cash benefits are included that for elderly at home and for patients in geriatric hospital. This study investigated whether there had been any change in the medical care utilization according to cash benefits for geriatric hospitalization. This study used National Health Insurance claims and Long term Care Insurance claims 2003 through 2006. Data were composed of subjects who undertook both insurance coverage. The subjects was divided into two groups. Case group included participants with the cash benefits of geriatric hospitalization. Control group included persons without the cash benefits selected by random sampling according to the distribution of case group. This study showed that the amount of medical care utilization of the case group is more significantly increased than the control group after adjusted their health condition and functional condition. This result will be helpful for making decisions on whether the cash benefit of geriatric hospitalization can be introduced into long term care insurance system.

• Health Policy and Management
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• v.23 no.2
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• pp.132-144
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• 2013

Background: The purpose of this study was to analyze the medical expense change and influencing factors after introducing longterm care insurance system. The study period was 2 years before and after introduction of the system. Methods: We analyzed data collected from two divided group lived in Incheon. Four hundred and eighty-five elderly who received long-term care wage for one year were selected for experimental group. For control group, 1,940 elderly were selected by gender and age stratified random sampling. Difference-In-difference analyses was used for evaluating policy effectiveness. Also multiple regression analyses were conducted to identify the factors associated with total medical expenditures. The control variables were demographic variables, economic status, diseases, and medical examination variables. Results: Difference-in-difference analyses showed that total average medical expenses among long-term patients has decreased by 61.85%. Of these, the hospitalization expenses have decreased by 91.63% and the drug expenses have increased by 31.85%. Multiple regression analyses results showed that total average medical expenses among long-term patients have significantly decreased by 46.5% after introducing the long-term care insurance. The hospitalization expenses have significantly decreased by 148.5%, whereas the drug expenses have increased by 53.6%. And outpatient expenses have increased by 10.4%, but the differences were not statistically significant. Conclusion: The results showed that total medical expenses and hospitalization expenses have decreased after introducing the long-term care insurance. These results could support the opinion that the health insurance spending among long-term patients will be reduced gradually by long-term care insurance through changing medical demand.

• Korea Journal of Hospital Management
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• v.12 no.2
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• pp.25-42
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• 2007

To identify characteristics of elderly inpatients who had long term hospitalization in a general hospital, this study categorized into two groups who were hospitalized for less than 30 days and a group hospitalized for more than 30 days. To compare the groups the independent variables were the sociodemographical characteristics, the medical care utility characteristics, and the disease characteristics and finally analyzed factors affecting the hospitalization period. The data of 18,727 inpatients who were older than 65 years of age by the year 2005 were used and the data were analyzed using SPSS for Windows 12.0. With the results, it is necessary to provide intensive and positive management to elderly inpatients who belong to the more than 30 days group and also necessary to share roles and functions of hospital by medical network with local hospitals and clinics in order to manage long-term elderly inpatients and offer continuous post-management to discharged patients by encouraging them to use a long-term care center or by implementing an early discharge program. This study should provide many studies on how to manage the period of hospitalization efficiently on long-stay elderly inpatients in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.267-274
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• 2017

This is a non-experimental and retrospective study aimed at determining the effects of long-term hospitalization on the body mass index (BMI) and lipid metabolism in long-term hospitalized patients. The study subjects included 120 patients aged 40-65 years who were hospitalized for >3 months in 2 long-term care hospitals in Gyeonggi-do, South Korea. In this study, the BMI and levels of total cholesterol, triglycerides (TG), high-density lipoprotein (HDL), and low density lipoprotein (LDL) at admission and 3 months after hospitalization were compared and analyzed, and the related changes over time were followed up. The general characteristics of the subjects were analyzed by using descriptive statistics and frequency analysis. In addition, logistic regression analysis was performed to determine the effects of the general characteristics on the BMI and Dyslipidemia. The changes in the BMI and blood lipid levels between admission and 3 months after hospitalization were analyzed using the paired t-test. The results showed that with regard to the changes in the blood lipid levels, the triglyceride levels significantly increased 3 months after hospitalization (p<.05). These findings imply that long-term hospitalization for care and rehabilitation after acute-phase treatment should be considered a potential high-risk factor for dyslipidemia, which could be prevented or alleviated by providing the patients with health education, including exercise and dietary education.

• Health Policy and Management
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• v.19 no.1
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• pp.81-96
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• 2009

The expansion of long-term care hospitals (LTCHs) is expected to contribute to meeting the long-term care needs of the elderly with chronic diseases in a rapidly aging society. It is also expected to increase efficiency of health resource use and decrease elderly health expenditures by transferring patients from acute care hospitals (ACHs) to LTCHs. This study aimed to empirically examine how the expansion of LTCHs had influences on the length of hospitalization of the elderly in ACHs. Panel regression analysis was employed as an analytic tool using data of the National Health Insurance and the National Statistical Office from 2002 to 2006. The expansion of LTCHs was measured as location quotient (LQ) of LTCHs, denoting the share of LTCHs in a large city or province relative to the share of LTCHs at the national level. In addition, per capita GRDP (gross regional domestic product) and the proportion of population over 65 were included as control variables. The main findings are as follows. First, it was observed that LQ of LTCHs showed a statistically significant negative association with the length of hospitalization of the elderly in ACHs. Second, the negative correlation was evident among general hospitals with over 100 beds while it was not among hospitals with less than 100 beds. Third, LQ of LTCHs had more influences among the elderly over 85. In conclusion, the expansion of LTCHs seems to contribute to decrease in the inpatient cost of the elderly in ACHs and to increase efficiency in the utilization of health resources.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.6
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• pp.11-20
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• 2023

The cost of medical treatment for motor vehicle accidents is increasing every year. In this study, we created a model to predict long-term hospitalization(more than 18 days) among minor patients, which is the main item of increasing traffic accident medical expenses, using five algorithms such as decision tree, and analyzed the factors affecting long-term hospitalization. As a result, the accuracy of the prediction models ranged from 91.377 to 91.451, and there was no significant difference between each model, but the random forest and XGBoost models had the highest accuracy of 91.451. There were significant differences between models in the importance of explanatory variables, such as hospital location, name of disease, and type of hospital, between the long-stay and non-long-stay groups. Model validation was tested by comparing the average accuracy of each model cross-validated(10 times) on the training data with the accuracy of the validation data. To test of the explanatory variables, the chi-square test was used for categorical variables.

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.563-574
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• 2016

This study aimed to examine the predictors of mental health confidence(MHC) among individuals in psychiatric long-term care facilities(PLCF). It further examined whether the predictors and underlying mechanisms differed by the length of hospitalization. Sample consisted of 1,742 individuals residing in PLCF who participated in the Survey on PLCF. Structural equational modeling was used to examine the predictors of MHC. Multi-group Structural Equation Modeling(SEM) was used to examine whether the predictors and mechanisms differed by the length of hospitalization between those of 10 years or less (n=962) and 10 years and more (n=780). Major findings were as follows. (1) Education, duration of mental illness, and psychiatric symptoms were significantly related to MHC. (2) Duration of mental illness presented significant indirect effects on MHC via its effects on perceived stigma. (3) The predictors and underlying mechanisms differed by the length of hospitalization. Based on the findings, implications and limitations of the research were discussed.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.31 no.1
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• pp.56-65
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• 2024

Purpose: This study aimed to explore the association between demographic characteristics, hospitalization-related characteristics, and the severity of long-term hospitalization in a high-level general hospital, and to analyze the factors influencing decisions of all patients. Methods: General and clinical characteristics of the participants were analyzed using frequency, percentage, mean, and standard deviation. Differences in these characteristics, contingent upon whether a power source was requested, were analyzed using independent t-Test and Chi-squared tests. Logistic regression analysis was used to identify the factors related to the presence or absence of power requests. Results: The factors impacting the decision to refer a dependent variable include medical treatment (neurosurgery) (B=2.118, SE=0.960, p-value=.027, OR=8.314, 95% CI=1.267-54.551), infection isolation (CRE) (B=1.336, SE=0.666, p-value=.045, OR=3.804, 95% CI=1.032-14.021), and the utilization of tertiary antibiotics (B=3.076, SE=1.362, p-value= .024, OR=21.663, 95% CI=1.502-312.530). Conclusion: This study found a significant association between medical treatment (neurosurgery), infection isolation (CRE), and the use of tertiary antibiotics as dependent variables. These findings indicate that continuous monitoring can contribute to a reduction in long-term financial burdens.