• Journal of Preventive Medicine and Public Health
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• v.25 no.4 s.40
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• pp.399-412
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• 1992

This study was designed to investigate factors relating to fiscal deficit for regional health insurance. The financial statements for the fiscal year 1990 of nationwide 254 regional medical insurance societies were analyzed. Important findings are summarized below: 1. There were differences in the main reason fur the financial deficit among regions when deficit and surplus societies were compared by regions. The total revenue per enrollee, especially revenue from the premium contribution of a deficit society was significantly smaller than that of a surplus society in large cities and counties. On the other hand, the total expenditure per enrollee of a deficit society was larger than that of a surplus society in small cities. 2. Both low premium rate at the beginning of health insurance program and less effort to increase the premium rate were main factors for the smaller revenue from the contribution of a deficit society in large cities and counties. 3. Larger expenditures per covered person of a deficit society in small cities were explained with larger medical expenditures especially for out-patients services rather than larger administrative expenses. 4. A regression analysis showed that utilization rates in out-patient services were significantly associated with income and numbers of total medical care institution per capita within a region where a health insurance society located. Also expenses paid by insurer per visit were associated with the proportion of utilization for tertiary care hospitals as well as the proportion of utilization of public health centers.

• Health Policy and Management
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• v.11 no.2
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• pp.85-122
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• 2001

This study compared and analyzed the effect of income-redistribution, collecting data on the basis of the estimated details of insurance contribution and individual money wage lists for each one year before and after the combination of medical insurance program for industrial workers, by systematic sampling, extracting 4,160 families(14,764 people) among people applied to medical insurance program for self employees in Taegu City on the basis of Oct. 1st in 1998 with 227 associations of medical insurance program for self employees and medical insurance program for government employees and private school teachers combined, comparing the effect of income redistribution of before and after the combination of medical insurance program for self employees. The insurance contribution by household after the combination of medical insurance program for self employees showed the increase rate of average 20.9%, among them households of 68.8% increased and 31.2% decreased. The effect of income-redistribution was more positive because the degree of inequality was more deepened from 0.64 of the before-combination to 0.45 of the after-one in decile distribution ratio, from 0.26 to 0.34 in Gini -coefficient. Decile distribution ratio on the basis of insurance benefits by household was from 0.09 in the before-combination to 0.14 in the after-one, Gini-coefficient from 0.16 in the before-combination to 0.57 in the after-one was a little lowered. And decile distribution ratio of insurance benefits on the basis of insurance contribution was higher from 1.08 in the before-combination to 1.23 in the after-one, concentration index was a little lowered from 0.14 to 0.11, the effect of income-redistribution was improved in the phase of insurance benefits. The income-transfer rate of medical insurance program for self employees (the occupied rate of insurance benefits/ the occupied rate of insurance contribution) showed a lower trend in all of the before and after-combination towards upper classes, it was known that the income-transfer rate was higher from 1st degree to 7th degree in the after-combination in comparison with the before-one, but the effect of income¬redistribution was high because the income-transfer rate was lowered from 8th degree to 10th degree. The rate of medical insurance benefits (insurance benefits/ insurance contribution) increased from 0.79 in the before-combination to 1.07 in the after-one, and showed over 1.0 under 3th degree before the combination, but all of it was higher than 1.0 under 7th degree after the combination, the after-combination was more improved than the before-one in view of the rate of insurance benefits. As the result of above, on the basis of Oct. 1st in 1998 that 227 associations of medical insurance program for self employees was combined into one, we could say that the equality of imposing medical insurance contribution was more re-considered in the after-combination than in the before-one. But this study analyzed with classes divided, anyway, on the basis of insurance contribution, we have limit in explaining the correct effect of income-redistribution, because it was not analyzed according to classes of income, though it helps to analogize the effect of income-redistribution. So there must be analysis about the effect of income-redistribution, on the basis of the system, building up the system to grasp the correct income of the insureds of medical insurance program for self employees.

• Journal of Preventive Medicine and Public Health
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• v.46 no.6
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• pp.300-308
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• 2013

Objectives: The purpose of this study was to classify determinants of cost increases into two categories, negotiable factors and non-negotiable factors, in order to identify the determinants of health care expenditure increases and to clarify the contribution of associated factors selected based on a literature review. Methods: The data in this analysis was from the statistical yearbooks of National Health Insurance Service, the Economic Index from Statistics Korea and regional statistical yearbooks. The unit of analysis was the annual growth rate of variables of 16 cities and provinces from 2003 to 2010. First, multiple regression was used to identify the determinants of health care expenditures. We then used hierarchical multiple regression to calculate the contribution of associated factors. The changes of coefficients ($R^2$) of predictors, which were entered into this analysis step by step based on the empirical evidence of the investigator could explain the contribution of predictors to increased medical cost. Results: Health spending was mainly associated with the proportion of the elderly population, but the Medicare Economic Index (MEI) showed an inverse association. The contribution of predictors was as follows: the proportion of elderly in the population (22.4%), gross domestic product (GDP) per capita (4.5%), MEI (-12%), and other predictors (less than 1%). Conclusions: As Baby Boomers enter retirement, an increasing proportion of the population aged 65 and over and the GDP will continue to increase, thus accelerating the inflation of health care expenditures and precipitating a crisis in the health insurance system. Policy makers should consider providing comprehensive health services by an accountable care organization to achieve cost savings while ensuring high-quality care.

• Health Policy and Management
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• v.30 no.2
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• pp.253-262
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• 2020

Background: The public health care system of a country is shaped and driven by its historical background as well as social, economic, and cultural structures. This study sheds light on the unique features, strengths, and weaknesses of the health insurance systems of South Korea (Korea) and Peru. Methods: The capacity mapping tool was used to explore the Korean and Peruvian population and geographical structures; health insurance laws, regulations, and policies; payment systems; eligibility and contribution collection; and long-term care insurance. Results: The study found that the Korean government took the lead in integrating multiple insurers into a single-payer system in an effort to reinforce and stabilize its health insurance system in 2000. Peru has been developed mixed model such based on taxes and contributions, to address a gap between different social classes. Peruvian government developed a two-axis system, one for low-income earners, financed by taxes, and another financed by contributions paid by workers and government officials in the formal sector. Peru has introduced many variations to its fee payment and insurer systems, target population, and coverage scope, and maintains its health insurance system accordingly to this day. Conclusion: The current study provides observation of the Health Insurance System in two different countries and helps to understand possible ways to improve the health insurance system in both countries. Based on this study, Peru will be able to see how its system differs from Korea's and benefit from the related policy implications.

• Journal of Preventive Medicine and Public Health
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• v.22 no.4 s.28
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• pp.578-590
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• 1989

This study was conducted to assess the equity in the regional insurance scheme through analysis of the computerized data from one regional insurance society and National Federation of Medical Insurance. We analysed the insurance contribution and benefit by the classes based on total and income-related contribution per household. The major findings of this study are as follows : 1. The average proportion of income-related contribution among the total was 39.2% and the upper classes show higher proportion of the income-related contribution. 2. The upper classes show higher health care utilization rate than the lower classes. It suggests that the lower classes have relatively large unmet medical needs. 3. The analysis through the Lorenz curve reveals that there exists transference of contributions from the upper to lower classes. But the cumulative percentage of insurance benefit is smaller than that of the number of the insured. It implies that regional medical insurance scheme in Korea has still some inequity in the context of social security principles.

• Journal of Preventive Medicine and Public Health
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• v.52 no.4
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• pp.234-241
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• 2019

Objectives: To identify simultaneous behavioral changes in alcohol consumption, smoking, and weight using a fixed-effect model and to characterize their associations with disease status. Methods: This study included 7 000 529 individuals who participated in the national biennial health-screening program every 2 years from 2009 to 2016 and were aged 40 or more. We reconstructed the data into an individual-level panel dataset with 4 waves. We used a fixed-effect model for smoking, heavy alcohol drinking, and overweight. The independent variables were sex, age, lifestyle factors, insurance contribution, employment status, and disease status. Results: Becoming a high-risk drinker and losing weight were associated with initiation or resumption of smoking. Initiation or resumption of smoking and weight gain were associated with non-high-risk drinkers becoming high-risk drinkers. Smoking cessation and becoming a high-risk drinker were associated with normal-weight participants becoming overweight. Participants with newly acquired diabetes mellitus, ischemic heart disease, stroke, and cancer tended to stop smoking, discontinue high-risk drinking, and return to a normal weight. Conclusions: These results obtained using a large-scale population-based database documented interactions among lifestyle factors over time.

• Health Policy and Management
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• v.14 no.2
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• pp.78-98
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• 2004

The purpose of this study was to categorize the contribution evasion and develop the expected models for contribution arrears in National Health Care System. The modified logistic regression model in non-payments was used as logistic regression model based on the statistical method. By using this model, we arranged non-payment types and typical branches those are appeared by statistical technique. First fact, sex and age branches those are able to take a part in economy had effect mostly. Also they had difference in non-payment probability by existence of their incomes and property. Especially people who didn't have their own house and car were appeared in high non-payment probability, disease and reduction characteristic(rare diseases, reduction of seniors, handicaps, numbers of medical treatments) didn't effect much in probability. The reason for some characteristic of non-payment which is higher than the correct threshold value of Logistic Regression Model (a suggested model for predicting non-payment)'s distribution of probability was mostly moral hazard. Living difficulty was the bigger reason for non-payment, but moral slackening was the bigger reason for non-payment. But it is careless to decide that moral hazard is just the reason, there is a necessity to examine on the side of sociology based in family. By the reason, the member's non-payment reason can be classified by economy, population, and psychology, but there was a comprehension that losing of work desire could be one reason. So we analyzed informations for composition of family of members. In conclusion, we grasped that family conflict makes non-payment and conversion of member in the National Basic Livelihood Protection System difficult.

• Health Policy and Management
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• v.27 no.3
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• pp.199-210
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• 2017

Background: This paper aims to demonstrate current health expenditure (CHE) and National Health Accounts of the years 2015 constructed according to the SHA2011, which is a new manual of System of Health Accounts (SHA) that was published jointly by the Organization for Economic Cooperation and Development (OECD), Eurostat, and World Health Organization in 2011. Comparison is made with international trends by collecting and analysing health accounts of OECD member countries. Particularly, financing public-private mix is parsed in depth using SHA data of both HF as financing schemes as well as FS (financing source) as their revenue types. Methods: Data sources such as Health Insurance Review and Assessment Service's publications of both motor insurance and drugs are newly used to construct the 2015 National Health Accounts. In the case of private financing, an estimation of total expenditures for revenues by provider groups is made from the Economic Census data; and the household income and expenditure survey, Korean healthcare panel study, etc. are used to allocate those totals into functional classifications. Results: CHE was 115.2 trillion won in 2015, which accounts for 7.4 percent of Korea's gross domestic product. It was a big increase of 9.3 trillion won, 8.8 percent, from the previous year. Government and compulsory schemes's share (or public share) of 56.4% of the CHE in 2015 was much lower than the OECD average of 72.6%. 'Transfers from government domestic revenue' share of total revenue of HF was 17.8% in Korea, lower than the other contribution-based countries. When it comes to 'compulsory contributory health financing schemes,' 'Transfers from government domestic revenue' share of 14.9% was again much lower compared to Japan (44.7%) and Belgium (34.8%) as contribution-based countries. Conclusion: Considering relatively lower public financing share in the inpatient care as well as overall low public financing share of total CHE, priorities in health insurance coverage need to be repositioned among inpatient care, outpatient care and drugs.

• Journal of Preventive Medicine and Public Health
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• v.50 no.5
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• pp.294-302
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• 2017

Objectives: The objectives of this study were to investigate the agreement between medical history questionnaire data and claims data and to identify the factors that were associated with discrepancies between these data types. Methods: Data from self-reported questionnaires that assessed an individual's history of hypertension, diabetes mellitus, dyslipidemia, stroke, heart disease, and pulmonary tuberculosis were collected from a general health screening database for 2014. Data for these diseases were collected from a healthcare utilization claims database between 2009 and 2014. Overall agreement, sensitivity, specificity, and kappa values were calculated. Multiple logistic regression analysis was performed to identify factors associated with discrepancies and was adjusted for age, gender, insurance type, insurance contribution, residential area, and comorbidities. Results: Agreement was highest between questionnaire data and claims data based on primary codes up to 1 year before the completion of self-reported questionnaires and was lowest for claims data based on primary and secondary codes up to 5 years before the completion of self-reported questionnaires. When comparing data based on primary codes up to 1 year before the completion of selfreported questionnaires, the overall agreement, sensitivity, specificity, and kappa values ranged from 93.2 to 98.8%, 26.2 to 84.3%, 95.7 to 99.6%, and 0.09 to 0.78, respectively. Agreement was excellent for hypertension and diabetes, fair to good for stroke and heart disease, and poor for pulmonary tuberculosis and dyslipidemia. Women, younger individuals, and employed individuals were most likely to under-report disease. Conclusions: Detailed patient characteristics that had an impact on information bias were identified through the differing levels of agreement.

• Journal of Preventive Medicine and Public Health
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• v.33 no.2
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• pp.150-156
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• 2000

Objective : To analyze the factors affecting the participation rate in the health screening program of medical insurance. Method : We investigated the factors associated with the participation rate in the health screening program in Korea. Data were collected at the aggregate level from 145 employee health insurance societies and 227 self-employed health insurance societies from 1995 to 1997 Data were also collected at the individual level from four health insurance societies. This study hypothesized that the participation rate of the health screening program was related to 1) the characteristics of its members and the size of the health insurance society; 2) the specifications of the health screening program; 3) the venue of the health screening institution and the interests of individuals in the health screening program; and 4) the activities of the health insurance society. We used bivariate and multiple regression models to examine the factors on the participation rate of the health screening program. Results : First, in the case of dependents of on employee health insurance society, the ratio of dependents 40 years old and over, the average monthly contribution per household, the interest and satisfaction level of individuals in health screening, and the level of refunds for over-payment were all associated with the participation rate in the health screening program, accounting for 54.4% of the participation rate. Second, in case of those insured by the self-employed health insurance society, the interest and satisfaction level of individuals in health screening, the level of refunds for over-payment, and the performance level of on-the-spot health screening were statistically significant, accounting for 40.1% of the participation rate. Conclusion : The factors concerning the participation rate in the health screening program of medical insurance, in both a health insurance society and for individuals, were closely related to the age and gender of individuals and household contributions.