Background: With the recent aging of the population, the transition to a disease structure centered on chronic diseases is accelerating. Moreover, the socio-economic gap and the polarization of the health gap between regions further increase the burden of disease on the country. Accordingly, this study calculated the disease cost of hypertension, diabetes, and hyperlipidemia, which are the three major chronic diseases, to establish an effective health promotion policy strategy for each region, and analyzed the gap in disease cost within the region to determine health determinants at the individual as well as the regional level. Methods: This study utilized data from the 2015 sample cohort of the National Health Insurance Service and calculated the disease cost of patients (diabetes: I10-I15, hypertension: E10-E14, hyperlipidemia: E78) based on the main diagnosis. Results: Based on our analysis, the case of medical use in cities and provinces was higher than in metropolitan cities, with relatively small medical use in Seoul and Gangwon-do. In terms of the disease cost, the cost of chronic diseases in Seoul and Jeju was the highest, but the difference in disease cost between patients in each region was the largest in Seoul and Gangwon-do. Conclusion: The results of this study provide meaningful data for implementing efficient health promotion policies by analyzing the differences in disease cost and identifying health determinants in different regions. Furthermore, in Korea, where socioeconomic differences are clearly revealed, it can be used as a basis for preparing a strategic plan, from a long-term perspective, to improve the health of patients with chronic diseases in the future.
Purpose: The aim of this study was to demonstrate that non-participation of physical therapists on the political decision-making committee results in invasion of their interests. Methods: To demonstrate the effects, we analyzed the change of medical insurance score decided by the Health Insurance Policy Deliberation Committee between 2001 and 2012 years, focusing on medical examination as the interest of the participation group and physical therapy cost as interest of the non-participation group. Results: Total medical insurance cost increased by 23.72%, on average. Medical examination cost increased by 23.90% and 37.66% in medical examination for new and established patients, respectively. However, physical therapy cost was reduced by 5.01%. The medical examination cost for physical therapy without medical checkup increased by 2.62%. Conclusion: This study shows that the physical therapy cost, related on the interest of the non-participative group in the Health Insurance Policy Deliberation Committee, rather decreased while the total medical insurance cost increased.These findings demonstrate the invasion of the non-participative group on the Health Insurance Policy Deliberation Committee. Thus, aggressive participation in political decision-making committee is necessary in order to protect and increase rights and interests of Korean physical therapists.
Considerable attention has been devoted in the accounting literature to identify the factors that cause or drive the costs of overhead activities. This paper extends recent cost driver research to the health care provider. In various case studies, it has been suggested that overhead costs are driven by volume and complexity variables. This paper investigates the significance of these variables in determining hospital overhead costs, how they are structurally related and how the cost impacts of these variables can be estimated in practice. This paper analyzes the determinants of hospital costs using the sample of South Korea hospitals for seven year during the period 1952-1997. The paper focuses on the extent to which hospital overhead costs depend on complexity, efficiency in addition to depending on more conventional volume based measures of hospital activity. The results of regression analysis suggest that volume and complexity factors positively and significantly affect overhead costs in the hospital industry. The results show that the complexity-related cost drivers strongly affected on the overhead costs in tile health care provider industry more than manufacturing industry which is mainly affected by volume-related cost drivers. That means each Industry may have different cost structures. Therefore it Is Important to find their proper cost structures and cost drivers and use them. Futhermore identification of overhead or indirect cost drivers is likely to be particularly useful in heath care. The identification of cost drivers can be of benefit to all health care stakeholders because these facilitates more efficient management of the national resources devoted to health care. While this study has documented that the level of service complexity is a significant determinant of hospital overhead costs, caution should be exercised in interpreting this as supportive of the cost accounting procedures associated with ABC. It is an open question whether even a well-designed ABC system will provide suitable proxies for marginal costs for decision making purposes.
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.
Background: The purpose of this study is to propose an analysis of trends and characteristics of high-cost patients who take over 40% of total national health insurance medical expenses. Methods: It has been analyzed the tendency of high-cost patients by open data based on the medical history information of 1 million people among national health insurance subscriber from 2002 to 2015. To conduct detailed study of characteristics of high-cost patients, multiple regression has been performed by sex, age, residence, main provider, and admission status based on the top 5% group. Results: The amount of medical expenses and the number of high-cost patients have gradually increased in decades. The number of high-cost patients for Korean won (KRW) 5,000,000 category has increased by 7.6 times, KRW 10,000,000 category has increased by 14.1 times in comparing of year 2002 and 2015. Top 5% medical expenses have increased by 4.6 times. In consideration of the characteristics of patients, the incidence of high medical expenses has been higher in female patients than male ones, the older patients than in the younger. Patients residence in Gyeonsang or Jeonla province have had a high incidence of medical expenses than other area. The disease including dementia, cerebral infarction, and cerebrovascular disease for high-cost patients has been also increased. Conclusion: The major increase factor for high medical expenses is the aging of population. The elderly population receiving inpatient care residing in the province that increases high medical costs have to management. There is an urgent need to develop a mechanism for predicting and managing the cost of high-cost medical expenses for patients who have a heavy financial burden.
This study is designed to estimate an appropriate level of patient's cost-sharing for oriental medical services in the Korean National Health Insurance. The findings of this study can be summarized as follows: 1) The current co-payment system for oriental medical services does not reflect its cost structure in clinical practice due to inconsistency of cost-sharing plan in the NHI. 2) Both oriental medical institutions and their patients, as a result, are at a relative disadvantage in financial burden, compared with other services. 3) The substantial proportion of patients' cost-sharing depends on the amount of co-payment and the range of medical cost that a flat rate is applied to. 4) The extension of the range doesn't make any substantial decrease in patient's cost-sharing. 5) The fixed amount of co-payment is more sensitive than a range to total variations of patient's cost-sharing. Based on the above, the budget impacts of a new co-payment system were estimated for each co-insurance rate, according to given scenarios. The results range from -59 billion Won (-8.5%) to 16 billion Won(2.3%).
The purpose of this study was to estimate the magnitude of patient's actual cost-sharing for hospital services in the National Health Insurance which has been estimated with only a few hospitals or limited number of patients. Also we aimed at analysis of factors influencing the magnitude. Sources of analyzed data were two databases. 1997 medical benefits record of the National Federation of Medical Insurance and 1997 Statistics for Hospital Management from the Korea Institute of Health Services Management(KIHM). We merged two databases and related records for 224 hospitals. based on the identification details of each hospital. The average percent of patients' cost-sharing was 51.7% of total hospital revenues from the insurance. with 40.3% of revenue in inpatient and 67.4% in outpatient. respectively. The contributing hospital factors to the magnitude of cost-sharing were size of hospitals. teaching status. location. number of employed physicians. etc. Larger and university hospital. urban location. and with more physicians were positively correlated with higher level of cost-sharing. Additionally, the higher the expenses of inpatient's treatment was, the higher the size of patient's cost-sharing was. These findings suggest that present level of patients' cost-sharing is quitely high and it is urgent to reduce the patient's cost-sharing to the reasonable level. It would be necessary to extend the coverage of insurance benefits and to develop policies focusing on larger hospitals and inpatient services.
Objectives : This study was conducted to estimate the socioeconomic cost of injuries in South Korea. Methods : We matched claims data from national health insurance, automobile insurance and industrial accident compensation insurance(IACI), and mortality data obtained from the national statistical office from 2001 to 2003 by patients unique identifier. Socioeconomic cost included both direct cost and indirect cost: the direct cost was injury-related medical expenditure and the indirect cost included loss of productivity due to healthcare utilization and premature death. Results : The socioeconomic cost of injuries in Korea was approximately 1.9% of the GDP from 2001 to 2003. That is, 12.1 trillion KRW(Korean Won) in 2001, 12.3 trillion KRW in 2002, and 13.7 trillion KRW in 2003. In 2003, direct medical costs were 24.6%(3.4 trillion KRW), the costs for loss of productivity by healthcare utilization were 13.0%(1.8 trillion KRW), and the costs for loss of productivity by premature death were 62.4%(8.6 trillion KRW). Conclusions : In this study, the socioeconomic cost of injuries in Korea between 2001 and 2003 was estimated by using not only health insurance claims data, but also automobile insurance, IACI claims and mortality data. We conclude that social efforts are required to reduce the socioeconomic cost of injuries in Korea, which represented approximately 1.9% of the GDP for the time period specified.
Purpose: This study was conducted to evaluate the economic efficiency of a community-based nursing care center to help policy makers determine whether or not to invest in similar facilities. Methods: The subjects were 101 elderly people over 65 years who participated in a health management program from February 1 to July 31, 2007. Direct cost was estimated with center operations cost, medical cost for out-patients and pharmacy cost. Indirect cost was measured by transportation cost. Direct benefit was calculated by saved medical cost for out-patients, saved pharmacy cost, saved transportation cost, and reducing hospital charges. Indirect benefit was estimated with prevention of severe complications. Economic efficiency was evaluated by cost-benefit ratio and net benefit. Results: Operating a community-based nursing care center was found to be cost-effective. Specifically, the cost of operating the center evaluated here was estimated at 135 million won while the benefit was estimated at 187 million won. Benefit-cost ratio was 1.38. Conclusion: The Community-based nursing care center that was described here could be a useful health care delivery system for reducing medical expenditures.
Background: This paper describes the relationship and effect of health examination on personal medical cost by identifying the difference of the cost for medical care in physician visit between the population without and with health examination. Methods: After classifying into three cohorts in which, independent variables were designed according to the Andersen's behavioral model, the association of personal medical cost for medical care and prescription drugs which is dependent variable was analyzed by t-test and Mann-Whitney test for description and gamma regression model for inference. Results: In personal average medical cost, the population with health examination paid significantly more than without health examination, 11.6% more in cohort 2008, 26.6% more in cohort 2009, and 48.0% more in combined cohort. The odds ratio on medical expenditure of outpatients with health examination was 1.067, 1.126, 1.398 significantly in cohort 2008, 2009, and combined cohort respectively, comparing to the group without health examination. In independent variables, that is female, the elderly, never married, non-working, non-metropolitan, the higher family income, the smaller family size, people with disability, the people with chronic disease, and people with health examination have significantly being paid more tendency showing positive association with medical cost. Conclusion: This result showed that medical expenditure in physician visit has been increased after taking a health examination. Therefore reasonable limitation of getting preventive medical service is suggested to avoid medical shopping around and reduce being repeated health examination by unifying control to find out easily the clinical results from various medical facilities.
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