ABSTRACT
Background@#This study aims to examine the regressiveness of national health insurance (NHI) premium burdens for local subscribers.The government has established a restructuring of health insurance contributions in 2017. Therefore, insurance premium reform began in 2018 and the second national health insurance premium reform will be carried out in 2022. We will analyze local subscribers before and after the policy reform of 2018. @*Methods@#This study used data from ‘local premium imposition elements’ in the health insurance statistics annual reports (2017–2019) on National Health Insurance Service (NHIS). This study was calculated contribution rates according to levels of income and property for local insured by the method of comparing. Simulations of primary and secondary reforms were conducted in the study to determine regressiveness. @*Results@#Insurance premiums for local subscribers were analyzed separately by income and property insurance premiums. In the income premium analysis, the higher the income, the lower the premium rate, and then the fixed rate was maintained from a certain section. The regressiveness of income insurance premiums has been eased in part. On the other hand, the property insurance premium burden was found to be regressive still by income class. @*Conclusion@#Regressiveness analysis showed that a decrease in income contributions was achieved to local insured in the first phase of reform. But in the second phase of reform, more consideration should be given to reductions of property premium portions of local subscribers. Based on the results, the author suggested policy discussions to reorganizing the new systems of NHI contribution of local Insured.
ABSTRACT
Background@#The purpose of this study is to analyze whether there is a change in patterns of medical use among those likely to be converted their health insurance qualifications when the family support rule is alleviated. There is no empirical analysis that converting health insurance qualification will affect the increase in medical use. @*Methods@#For analysis, data were extracted from the national health insurance eligibility and medical care database. To identify analysis targets similar to that of medical aids’ characteristics among health insurance coverage, we compared income, property level, and medical use patterns through basic statistical analysis and used a difference-in-difference (DID) analysis to estimate the net effect of changes in medical use following the change of qualifications. @*Results@#The main results are as follows. The results show that those who are under the 5% income group (1st income group) of health insurance coverage are the most similar to the medical aids group. DID analysis shows that changes in the medical use of people who maintain their national insurance qualification and who are not. As a results, the number of hospitalized days of converting group was reduced by 3.5 days while outpatient days were increased by 1.8 days. @*Conclusion@#As a result, there was not much difference in the patterns of medical use for the under 5% income group who are likely to be eligible for expanded medical aids when the family support rule is alleviated. In addition, more than 30% of them are in arrears with their health insurance premiums, causing inconvenience in using medical services. These findings suggest the need of abolishing the criteria obligated to support family, and great efforts should be made to contribute to non-paid poor and remove their medical blind spot.
ABSTRACT
Background@#The purpose of this study is to analyze whether there is a change in patterns of medical use among those likely to be converted their health insurance qualifications when the family support rule is alleviated. There is no empirical analysis that converting health insurance qualification will affect the increase in medical use. @*Methods@#For analysis, data were extracted from the national health insurance eligibility and medical care database. To identify analysis targets similar to that of medical aids’ characteristics among health insurance coverage, we compared income, property level, and medical use patterns through basic statistical analysis and used a difference-in-difference (DID) analysis to estimate the net effect of changes in medical use following the change of qualifications. @*Results@#The main results are as follows. The results show that those who are under the 5% income group (1st income group) of health insurance coverage are the most similar to the medical aids group. DID analysis shows that changes in the medical use of people who maintain their national insurance qualification and who are not. As a results, the number of hospitalized days of converting group was reduced by 3.5 days while outpatient days were increased by 1.8 days. @*Conclusion@#As a result, there was not much difference in the patterns of medical use for the under 5% income group who are likely to be eligible for expanded medical aids when the family support rule is alleviated. In addition, more than 30% of them are in arrears with their health insurance premiums, causing inconvenience in using medical services. These findings suggest the need of abolishing the criteria obligated to support family, and great efforts should be made to contribute to non-paid poor and remove their medical blind spot.
ABSTRACT
Background@#The purpose of this study is to analyze the effect of the income support allowance policy for the care workers on wage level. @*Methods@#The analysis data was constructed using database (DB) of long-term care institution, DB of long-term care personnel status, and DB of health insurance qualification and contribution possessed by National Health Insurance Services. We analyzed the wage status of care workers 2009 to 2016 through basic analysis. We used the difference-in-difference analysis method for the workers who worked in the same institution from 2012 to 2013, The effects of the income allowance policy on wage increase were analyzed. @*Results@#As a result of the net effect of the income support allowance policy, the monthly average wage of the care worker increased by 25,676 won and the hourly wage increased by 478 won. As a result of the analysis, it can be confirmed that the income support allowance policy has achieved some of the goals of raising the wage level of the care workers, and the effect of raising wages for other occupations in the long-term care business can be confirmed. @*Conclusion@#The low wage problem of long-term care workers such as care workers is not the only problem in Korea. In other countries, there are various wage support policies for employees. In particular, it is necessary to refer to the improvement in the treatment of care workers in Japan and wage pass-through in the United States. In addition to wages, there is a need to promote policies to provide employment motivation through efforts to improve their social status and improve their job status and career development for employees in long-term care facilities.
ABSTRACT
Background@#From January 2018, a policy was applied to differentially apply the co-payment for medical expenses of 15,000 won or more from 30% to 10%–30% for each medical fee. This policy lowers the burden on the medical use of the elderly, and it is necessary to analyze the effect of the policy by confirming changes in medical use and supply behavior after 2 years. @*Methods@#The National Health Insurance Service’s national medical use database was used. As for the analysis method, first, the medical use and medical supply behavior change over the age of 65 years were confirmed, and second, in order to check the net effect of the policy, the 66-year-old as the experimental group and the 63-year-old as the control group were selected as the control group. The propensity score matching was performed using the variables of age, living alone, income quartile, residence, disability, chronic disease, and co-morbid disease scores, and then it was analyzed using the difference in difference analysis method. @*Results@#The share of the number of treatments under 15,000 won decreased from 37.0% in 2017 to 20.2% in 2018, while the share of the number of treatments under 15,001–20,000 won increased from 8.0% to 22.7%. It was confirmed that the reason for the increase in the cost of treatment per treatment was the result of the increase in the amount of physical therapy and examination. As a result of the policy effect, the burden of co-payment per person was reduced, and as a result, the number of hospital visits per person and the total medical cost per person increased. @*Conclusion@#The self-pay rate differential policy reduced the burden of medical expenses for the elderly and confirmed the increase in medical use. However, the interpretation of the increase in medical use was not able to distinguish whether the unsatisfactory medical care was satisfied or the inducement demand. Efficient allocation of resources is a more important point in the future when the super-aged society is in front. It is necessary to prepare a plan to induce rational medical use within a range that does not impair the medical accessibility of the elderly.
ABSTRACT
BACKGROUND@#In this study, wage status and wage determinants of care workers were analyzed.@*METHODS@#The analysis used database (DB) of long-term care institutions, DB of long-term care institutions, DB of long-term care workers, DB of health insurance qualification, and contribution possessed by National Health Insurance Services. We analyzed the wage status of the care workers from 2009 to 2016 through basic analysis and estimated the factors affecting the wage of the long-term care facilities' care workers using pooled ordinary least squares.@*RESULTS@#The monthly average wage of care workers was raised from Korean won (KRW) 1.37 million in 2009 to KRW 1.52 million in 2016, and the working hours were shortened by 20 hours from 207 hours to 187 hours. Hourly wages increased by KRW 1,329 from KRW 6,831 in 2009 to KRW 8,160 in 2016. The average monthly wage of care workers was affected by gender, age, years of employment, monthly working hours, establishment type, city size, institutional size, the grade of the institution, and management status. In particular, the wage level of the care workers was high when the larger the size of the institution, the better the management status (fill rate), the establishment type is “government and local government†and “corporation,†the institutional rating is high, and the facility manager has the first grade of the social worker license.@*CONCLUSION@#The government should consider aggressive policies to improve the treatment of care workers as well as the quality of long-term care services so that there will be more long-term care facilities that are guaranteed social publicity above a certain level.