• Health Policy and Management
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• v.21 no.4
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• pp.599-616
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• 2011

This research was performed to investigate the determination factors of medical service to cover the fee for selecting a doctor which is one of the most important causes of debilitating national health insurance in Korea. Data was from Korea Health Panel and analyzed by Dutton(1986)'s medical service model which was an extended Anderson Model and was widely used in the researches on determination factors of medical service. The results were as follows; In the determinants of selecting a doctor in specialized medical institutions and general hospitals, patients with serious diseases selected doctors more often than other patients. By industrial accident compensation insurance law and enforcement ordinances, insurance covers the fee of selecting a doctor in the hospitals appointed by Labor Welfare Corporation for the patients in critical conditions under industrial accident compensation insurance, while health insurance patients pay the fee themselves for selecting a doctor in all cases. It is suggested that patients with serious diseases proved by medical opinion be provided with health care insurance in selecting a doctor and that the health insurance benefit coverage be enhanced by staged lowering of patient's cost-sharing.

• Health Policy and Management
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• v.20 no.2
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• pp.40-52
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• 2010

Health insurance fees are set by relative value scales and conversion factors. Since 2008 the conversion factor has been classified into 7 according to the provider type, and a separate contract has been made respectively. As such classification of the conversion factor reflects only the different characteristics of providers, however, further classification to reflect the different cost structures of providers is proposed. Cost varies according to the type of not only providers but also services each provider supply. In fact different cost structures of providers are the result of their different services. This study analyzed the cost structure of medical services to propose a new approach to the classification of the conversion factor. This study analyzed the cost structure of medical services using cost data constructed in the revision study of relative value scales. The cost data consist of doctor's fee, support staff's fee, cost of medical equipments, cost of medical supplies and indirect cost. The proportion of each cost component to the total cost was analyzed in terms of service department and service type. 72 service groups are defined in terms of the combination of service department and service type. Through cluster analysis, 72 service groups were reduced into 7 clusters each of which has a similar cost structure. Conversion factor is contracted annually to reflect the change in the cost of providing medical services. So the classification of conversion factor has to be based on the cost structures of medical services, not the characteristics of providers. Service clusters derived in this study can be used as a new classification for health insurance fee contract.

• Health Policy and Management
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• v.30 no.2
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• pp.164-177
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• 2020

This study aims to compare the experience of selected countries in operating separate payment system for new healthcare technology and to find implications for price setting in Korea. We analyzed the related reports, papers, laws, regulations, and related agencies' online materials from five selected countries including the United States, Japan, Taiwan, Germany, and France. Each country has its own additional payment system for new technologies: transitional pass-through payment and new technology ambulatory payment classification for outpatient care and new technology add-on payment for inpatient care (USA), an extra payment for materials with new functions or new treatment (C1, C2; Japan), an additional payment system for new special treatment materials (Taiwan), a short-term extra funding for new diagnosis and treatment (NUB; Germany), and list of additional payments for new medical devices (France). The technology should be proven safe and effective in order to get approval for an additional payment. The price is determined by considering the actual cost of providing the technology and the cost of existing similar technologies listed in the benefits package. The revision cycle of the additional payment is 1 to 4 years. The cost or usage is monitored during that period and then integrated into the existing fee schedule or removed from the list. We conclude that it is important to set the explicit criteria to select services eligible for additional payment, to collect and analyze data to assess eligibility and to set the payment, to monitor the usage or cost, and to make follow-up measures in price setting for new health technologies in Korea.

• Health Policy and Management
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• v.31 no.3
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• pp.344-354
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• 2021

Background: The purpose of this study was to analyze the effect of national health insurance coverage of Chuna therapy in April 2019 on the costs and service uses in automobile insurance. Methods: This study used the claim data from Health Insurance Review and Assessment Service. A total of 189,912 inpatients and 1,550,497 outpatients who received Chuna therapy covered by automobile insurance in oriental medical institutions were included. The analysis period was from July 2018 to December 2019, and a total of 18 months before and after April 2019, when Chuna therapy was covered by national health insurance. Interrupted time series analysis was applied to analyze the impact on the costs and service uses of Chuna therapy in automobile insurance before and after April 2019. Results: From July 2018 to December 2019, for 189,912 inpatients the cost and the number of times for Chuna therapy per capita were increased by 22.0% and decreased by 7.3% respectively right after the implementation of the policy. In the case of 1,550,497 outpatients, the cost of Chuna therapy per capita tends to be increased by 0.4% in overall study periods and increased 28.4% immediately after the implementation of the policy. Meanwhile, the number of times and visits for Chuna therapy per capita tends to be increased by 0.4% in overall study periods but decreased by 0.4% after the implementation of the policy. Conclusion: Results suggest that if the national health insurance coverage of oriental medicine services increases according to the policy stance for benefit expansion in national health insurance, the criteria for providing national health insurance benefits should be considered with the comprehensive impacts on the costs and service uses of automobile insurance.

• The Journal of the Korea Contents Association
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• v.17 no.6
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• pp.63-70
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• 2017

Although the National Health Insurance, many people sign up for private health insurance to alleviate their financial burden. In this study, we analyzed the relationship between private health insurance and subjective financial burden about cost sharing. To confirm the effect we conducted the binary logistic regression by utilizing the Health Care Policy related to public survey. The private health insurance have a significantly association with the subjective financial burden about cost sharing. People who uninsured to purchase private health insurance were more likely to have the burden. Therefore, given the low participation rate of private medical insurance for high age and low income group, we suggest the need for redefining the role of private insurance to enhance the function and resolve equity issues to prepare for the burden.

• Health Policy and Management
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• v.8 no.2
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• pp.76-87
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• 1998

This study analyzed the effect of foreign currency exchange rate on the increasing rate of medical care cost by items of fee schedule of Korean Medical Insurance. This study uses the data of cost analysis including cost of imported goods and the data of for a university hospital National Federation's Medical Insurance for a trend of claim. The method of cost analysis is as same as that used in the study of the development of Korean RBRVS(Resource Based Relative Valus Scale). The main findings of this study are as follows; 1. The proportion of imported goods in cost related to Medical Insurance fee schedule is 7.93%, and in case of substitution of available domestic goods 6.96%. 2. If foreign currency exchange rate changes from 800wen per $1 to 1,300won, the affecting rate of Medical Insurance fee schedules is 5.00%. If the imported goods will be substituted with available domestic goods, the rate 4.35%. Our results can be used a data for updating Medical Insurance fee schedule. But this result is limited to be generalized, because this study used the cost analysis for a university hospital.

• 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.

• Health Policy and Management
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• v.28 no.4
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• pp.352-359
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• 2018

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.

• Korean Journal of Community Nutrition
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• v.13 no.2
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• pp.244-252
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• 2008

The purpose of this study is to investigate the overall operations of National Hospital Food service after it was benefited by National Health Insurance (NHI). The survey was conducted between July and August, 2007. Among questionnaires mailed to 2,558 medical care institutions, 2,090 returned (81%) questionnaires were analyzed by descriptive statistics, $x^2$-test and ANOVA using the SPSS 13.0. The general foodservice characteristic of medical care institutions were as follows. The type of foodservice operations were 'self-operated' (86.9%), 'contracted' (10.5%) and 'Both' (2.6%). Only 6.4% of medical care institutions provided 'hospital food menu not benefited by NHI'. The number of dietitians and cook for medical care institutions were 1.1 and 1.0, respectively. The cost of a general diet meal was 4,205 won and therapeutic diet meal was 4,434 won. The overall operations of hospital foodservice were different depending on the types of medical care institution. After hospital foodservice was benefited by NHI, the overall quality of hospital foodservice including manpower, facilities, and environment was improved. The future direction of hospital foodservice should 1) differentiate the cost of hospital foodservice by the types of medical care institution, 2) increase in co-payment, and 3) provide same service with equal expenses in each party as medical aid or NHS beneficiary.

• Quality Improvement in Health Care
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• v.26 no.2
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• pp.95-103
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• 2020

Purpose: This study was to examine whether a health care model that provides comprehensive medical services based on population groups to members of the medical cooperative is applicable as a policy alternative in terms of medical use and cost. Methods: Data were derived from National Health Insurance claim data in 2019. We compared the medical volume and expenses of patients who visited social cooperative-type medical clinics with other patients, control group who visited other clinics in a local area. Results: The average number of visit days was 25.3 days in social cooperative-type medical clinics, more than 24.2 days in the control group (p=.004). However, the average medical cost per visit was KRW 46 thousand in social cooperative-type medical clinics, which was significantly lower than KRW 51 thousand in the control group (p<.001), and the total medical cost was also KRW 16.1 billion in social cooperative-type medical clinics and KRW 16.9 billion in the control group. Conclusion: We identified that a population-based health care model might change patients' behaviors to health care services and decrease total medical cost. Further population based experiment is needed to develop alternative healthcare model.