• 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.26 no.1
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• pp.39-50
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• 2016

Background: This study examined patient and hospital factors related to long-stay admissions in long-term care hospitals (LTCHs) among older people in Korea. Methods: We analyzed health insurance claims data, entitlement data, and institutional administrative data from the National Health Insurance Service databases between 2010 and 2012. At the patient level, we compared characteristics of patients staying in LTCHs for over 180 days (the long-stay group) with those staying in LTCHs for less than 90 days during a calendar year. At the hospital level, we examined the general characteristics and staffing levels of the top 10% of hospitals with the highest proportion of patients whose length of stay (LOS) was 180+ days (the hospitals with long-stay patients) and compared them with the top 10% of hospitals with the highest proportions of patients whose LOS was less than 90 days (hospitals with shorter-stay patients). Results: The long-stay group accounted for about 40% of all LTCH patients. People in the group were more likely to be women, aged 80+, living alone, and experiencing more than two health conditions. Compared to the hospitals with shorter-stay patients, those with long-stay patients were more likely to be occupied by patients with behavior problems and/or impaired cognition, owned by corporate or local governments, have more beds and a longer period of operation, and deliver services with lower staffing levels. Conclusion: This study found long-stay older people in LTCHs and those in LTCHs with high proportions of long-stay older patients had several distinct characteristics compared to their counterparts designated in this study. Patient and hospital characteristics need to be considered in policies aiming to resolve long-stay admissions problems in LTCHs.

• Health Policy and Management
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• v.5 no.2
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• pp.18-34
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• 1995

To clarify the relationship between the medical supply(medical persons and goods) and the use of bed, the author has made comparison among OECD 24 countries. Per Capita Bed-days can be divided into Average Length of Stay and Admission Rate, and these three variables were regressed upon both In-patient Care Beds of all medical institutions including acute somatic, psychiatric, special, nursing homes and other long-term care and Share of Total Health Employment in Total Employment. The result of regression analysis shows a statistically significant positive relationship between In-patient Care Beds and Average Length of Stay, and negative relationship between Share of Total Health Employment and Admission Rate. In addition to Ordinary Least Square(OLS) estimation, amended Bounded Influence Estimation(BIE) was also made to adjust the influence of outliers. Japan shows a very large number of In-patient Care Beds and a very low Share of Total Health Employment, and this medical situation is judged to have close relation to her long Average Length of Stay and low Admission Rate.

• Quality Improvement in Health Care
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• v.2 no.2
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• pp.112-129
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• 1996

Background : A small number of high cost patients usually spend a larger proportion of scarce health resources. Aged, long-term care and readmitted patients usually belong to these high cost patient group. Among others, long length of stay and readmission can be reduced by checking its cause, and these are the areas needed most of quality improvement activity. Characteristics of high cost medical users between health insurance program and medical assistance program were reviewed. Methods : The inpatient claims of health insurance and medical assistance program were analyzed. Patients were divided by 6 groups; long-term, mid-term, short-term, readmitted, cancer and aged. We defined high cost patients as those who had spent one and half million won and over per 6 months. Characteristics of high cost patients for each group were reviewed. Results : medical assistance patients used much more resources than the insured members in the average hospital cost per case but less in daily hospital cost. The former had a longer length of stay and had much heavier diseases. Major diseases of both group were cancer, diseases of circulatory system and chronic degenerative diseases. Gallstone and schizophrenia were more in the insured program. However, pulmonary tuberculosis, asthma were more common among the medical assistance patients. Early readmission before 2 weeks were 28-30% of the total readmission. Readmission rate in the malignat neoplasm and renal failure were 80% and more. Q.A program should be installed to prevent unnecessary readmissions. Conclusion : Almost 30% of early readmissions and admissions due to complications and long length of stay should be reviewed carefully to keep cost down and to enhance the quality of hospital care.

• Research in Community and Public Health Nursing
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• v.33 no.4
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• pp.357-371
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• 2022

Purpose: This study aims to investigate factors related to long-term length of stay (LOS) of patients with chronic diseases in Korean veterans hospitals. Methods: The subjects were 196 elderly patients with chronic disease staying in the hospital for more than 10 days, Data were collected by the survey of patients with structured questionnaires and medical records review by nurses from July 15 to August 10, 2019. Collected data were analyzed using t-test, ANOVA, Pearson's correlation coefficient and stepwise multiple regression. Results: The present and desired LOS were 37.78±32.66 days and 60.87±45.95 days, respectively. Factors affecting hospital LOS were found to be main disease (genitourinary) (p<.001), assistance in activities of daily living (p<.001), area of hospital (p<.001), payment of medical fees (p=.026), hospital satisfaction (p=.036) and the explanatory power of these variables was 26.4%. The most common health problems that need to be solved after discharge were symptom alleviation and health promotion. These problems can be solved using community-based facility services or visiting medical-welfare services (especially home care nursing). Conclusion: In order to reduce hospital LOS, the following measures are required: personalized self-management education, provision of transportation services for dialysis therapy of inactive patients, linking patients with visiting medical-welfare services including home care nursing and mobile healthcare services, operation of the case management system including the notice of the discharge date at admission, interim check of patient status, and connecting the patient with community resources or transferring the patient to long-term care facilities at discharge.

• Korea Journal of Hospital Management
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• v.29 no.2
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• pp.37-47
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• 2024

Purpose: This study aimed to determine the effect of adjusted out-of-pocket maximum rules in the 'differential co-payment ceiling', which means having a higher burden of co-payment, that expanded to the entire ceiling level in long-stay admission patients in long-term care hospitals(LTCH). Methodology: We used health insurance claim data between January 1, 2022, and December 31, 2022 received from the National Health Insurance Service. The study populations were inpatients in long-term care hospitals more than 1 days during the study period. We performed the difference in characteristics of the LTCH patient of the differential and general ceiling by the chi-square test. We estimated the change of the population, cost, and co-payments per person under the assumption of restructuring. Finding: Based on adjusted out-of-pocket maximum rules in 2023, it was expected that the number of benefits decreases at the high-income level while increasing at the low-income level. The burden of health expenditure after reimbursement of co-payment ceiling, is expected to increase by 65.1% in the highest medical necessity, whereas the low medical necessity would decreases compared to 2022. Practical Implications: The results demonstrate that the current out-of-pocket maximum rules do not reflect the needs of medical necessity. This study suggested the need to reflect the medical necessity in LTCH on the out-of-pocket maximum rules in the future.

• Health Policy and Management
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• v.11 no.3
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• pp.31-45
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• 2001

With an economic development and epidemiologic transition, the burden of disease due to chronic diseases and accidents is increasing. However, in most of developing countries, long-term care facilities are not available, therefore acute care facilities should provide both acute and long-term care services. It is also true in Korea. The demand for long-term care services needs to be estimated to establish the adequate supply system of health resources. This article introduces the reclassification methodology of inpatients' healthcare utilization to acute and long-term care services. All discharged patients from hospitals for one month were analyzed. The distribution of inpatients' hospital days were fitted to Chi-squared distribution by ICD disease categories, and they were grouped in five clusters. For each cluster, the lower and upper limit of classification criteria to acute and long-term care services were chosen. Summarizing all hospital days corresponding to acute and long-term care respectively, 24 to 28 percent of inpatient services fumed out to be long-term care services. The study results are consistent with those of the existing studies. They can be used practically in the allocation of long-term care resources.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.273-283
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• 2017

This study aims to develop a convergence optimized LOS(Length of Stay) management system that can provide efficient by predicting LOS on outpatient information for inducing the LOS to manage their own activities. web program has been implemented to comput in real-time predicting LOS by using the predicted LOS model of outpatient information. The predict model was derived management targets of long term predicted patient group and intensive care patient group. The optimized LOS(Length of Stay) management system was confirmed efficient for optimizing management of LOS that can provide by the long-term predicting alarm and over LOS alarm service for long term predicted patient group and intensive care patient group. Therefore the trial operating policy alternative on extension of predicted LOS is needed to utilized convergence optimizing system on LOS.

• 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.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.227-237
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• 2021

The aim of this study is to identify the influence of care services on the quality of life of elderly residents in long-term care facilities, and to determine the mediating effect of family support. The subjects of the study were 192 older adults living in long-term care facilities in the Daegu and Gyeongsangbuk-do region. The collected data were analyzed using the SPSS 22.0 program, and the methods used include descriptive statistics, t-test, ANOVA, Pearson correlation analysis, and regression analysis. The results of the study found that the subjects' quality of life differed depending on their age, education, income level of their children, reasons for admission, and length of stay. The factors that influenced their quality life included age, education, the income level of their children, reasons for admission, length of stay, and care services. The study also revealed that family support was the mediating effect in the relationship between care services and quality of life. The results of the study will provide insight in establishing a nursing intervention plan to improve the quality of life of elderly residents in care facilities.