• Health Policy and Management
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• v.5 no.1
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• pp.1-30
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• 1995

This study was conducted to investigate the distribution of private medical practitioners' income from the medical insurance and its determinants. Total amount of the medical service fee paid by the medical insurance to 1,268 private clinics(767 in Taegu and 510 in Kyungpook that had been in practice at least for one year) in 1993 was compared by the characteristics of practitioner, clinic, patient and population. The practitioners in 40-49 years of age and 6-10 years inpractice had the highest income. Total income of a clinic was increased with the number of physicians, employees and equipments. The largest income differentials were observed among obstetrics and gynecology clinics and the least differentials were among pediatrics clinics. The characteristics of practitioner, clinic and population accounted for 41.7% of the total variance of income. The important determinants of income were specialty of the clinic, age of the practitioner and number of the employee and equipments. The large income differentials among clinics imply a skewed distribution of patients and thus long waiting time, inefficient utilization of manpower and inadequate quality of care. Effective measures to reduce the income differentials need to be developed.

• Korea Journal of Hospital Management
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• v.29 no.1
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• pp.56-63
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• 2024

Purposes: This study aims to analyze the correlation with the current status of the medical resident application rate, physician's income, and non-benefit rates of majors in each specialty subject and to suggest implications. Methodology: First, it analyzes the correlation between the medical resident application rate by specialty subject and the income of physicians. Second, it analyzes the correlation between the income of specialists and the non-benefit rate for each specialty subject at the clinic level. Findings: First, a significant positive correlation was found between the medical resident application rate and the average physician's income for each specialty subject (r=.718, p<.01). Second, a significant positive correlation was observed between physician income at the practitioner level by medical specialty and the non-benefit rate (r=.726, p<.01). Practical Implications: In this study, the correlation between medical resident application rate by specialty subject and physician's income, non-payment and physician's income was confirmed. Choosing a department that is less risky and can earn higher income is a natural phenomenon, but it is necessary to adjust the physicians crowding phenomenon to a specific specialty subject at the government level to maintain the medical system.

• Health Policy and Management
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• v.28 no.4
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• pp.339-351
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• 2018

Background: The purpose of this study is to estimate empirically whether there is a difference in medical use among income groups, and if so, how much. This study applies econometric model to the most recent year of Korean Medical Panel, 2015. The model consists of outpatient service and inpatient service models. Methods: The probit model is applied to the model which indicate whether or not the medical care has been used. Two step estimation method using maximum likelihood estimation is applied to the models of outpatient visits, hospital days, and outpatient and inpatient out-of-pocket cost models, with disconnected selection problems. Results: The results show that there was the inequality favorable to the low income group in medical care use. However, after controlling basic medical needs, there were no inequities among income groups in the outpatient visit model and the model of probability of inpatient service use. However, there were inequities favorable to the upper income groups in the models of probability of outpatient service use and outpatient out-of-pocket cost and the models of the number of length of stay and inpatient out-of-pocket cost. In particular, it shows clearly how the difference in outpatient service and inpatient service utilizations by income groups when basic medical needs are controlled. Conclusion: This means that the income contributes significantly to the degree of inequality in outpatient and inpatient care services. Therefore, the existence of medical care use difference under the same medical needs among income groups is a problem in terms of equity of medical care use, so great efforts should be made to establish policies to improve equity among income groups.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.625-633
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• 2017

The purpose of this study is to investigate the effect of private insurance revenues and household spending on household income inequality. To this end, we conducted a concentration index and concentration curve analysis for the income level of medical panel survey data in 2015. The main results are as follows. First, the household income concentration ratio is 0.3580, which means that income is concentrated in the high income group, and the degree of inequality is considerably large. Second, although the portion of the private insurance benefits was small on the high-income household, it helped to strengthen the benefits concentration on this group. Third, the low income group has a large self-pay medical expense. Finally, the index of the income excluding the burden of the total medical expenses in the household income was 0.3676, so that even accounting for medical expenses, the income was concentrated in the high income class. Therefore, private insurance benefits and medical expenses were all contributing factors to the inequality of household income, and this study provides the essential materials for research and policy planning which could lead to the convergence of different fields.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.435-445
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• 2017

This study was conducted to overcome the limitations of prior research on the equity of medical care performed by identifying simple differences in the use of medical care or using limited medical needs and medical utilization indicators. Specifically, we used activity limits, chronic diseases, and subjective health status as medical needs, and used outpatient, inpatient, and emergency services as medical uses. In addition, we used concentration index, concentration curve, and Le Grand factor to analyze the equity of medical use considering medical needs. The main results are as follows. First, the amount of medical care for the low-income class is higher than that of the high-income class when considering the concentration of medical use. In particular, the number of hospitalization days for low-income households and hospitalization fees were higher than the fees of outpatient medical consultation and emergency room usage. Second, medical needs were concentrated in the low income class. In other words, low-income group is not as healthy as the high-income group. Third, the Le Grand factor was calculated in order to confirm the fairness of the medical uses considering the medical needs. Even if medical needs are taken into consideration, the high-income earners will have a large amount of medical care. In addition, when considering the limitation of activity and the number of chronic diseases, the medical use of the high income class was more frequent. However, when the subjective health condition and the chronic illness were considered, medical use of the low income class was more frequent. This may be due to the underestimation of the medical needs of the low-income earners by neglecting their own health status and perception of chronic diseases.

• The Research Journal of the Costume Culture
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• v.31 no.1
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• pp.1-17
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• 2023

This study analyzed requirements for medical masks and difference in satisfaction based on demographic characteristics and side effects experience caused by wearing medical masks. Three factors related to requirements for medical masks were identified: wearing comfort and usability, blocking function for harmfulness, and design. As a result of the difference analysis for requirements of medical masks based on demographic characteristics, all three factors showed a significant difference in gender and occupation. Design did in age and monthly income. As a result of the presence or absence of breathing difficulties experience, design factor was significant. As a result of the presence or absence of skin trouble experience, wearing comfort and usability showed a significant difference. As a result of the difference in satisfaction with medical masks based on demographic characteristics and side effect experience caused by wearing medical masks, breathing, ear string tightness, blocking harmful substances, price, and over all wearing comfort showed a significant difference by gender, marital status, age, occupation, and monthly income, and the presence of absence of breathing difficulty experience and skin trouble experience, respectively. As a result of the interaction effect analysis between demographic characteristics and side effects experience caused by wearing medical masks, it showed a significant interaction effect between gender and monthly income, between marital status and monthly income, between monthly income and breathing difficulties experience, and between monthly income and skin trouble experience.

• Journal of Preventive Medicine and Public Health
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• v.31 no.3 s.62
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• pp.460-470
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• 1998

By expanding health insurance, customers will carry a smaller burden of medical costs. As a result, the number of visits to a physician increase and this result in the improvement of medical accessibility. But medical care utilization may be changed not only by insurance status but also by socio-demographic factor, economic status and other factors. The question thus remains, at which level of accessibility and what price of medical care service in health insurance will the customer and the medical care service be satisfied. The price of medical care service ls comprised of the customer's out-of-pocket money and the costs not covered by health insurance. If the price of medical care services in health insurance are appropriate, medical care utilization should not differ because of the difference in income status or the acuteness of illness. But If the price is not adequate, low income groups will receive relatively low medical care utilization, particularly in the case of chronic disease. The purpose of this study is to evaluate the differences in medical care utilization among the various income groups and those with varying acuteness of illness. The major hypotheses to test in this study are : (i) whether there are differences in medical care utilization among different income groups exist, (ii) whether differences in medical care utilization among different income groups exist with the hospital type. (iii) whether differences in medical care utilization among different income groups exist with the acuteness of illness and with age. The data was collected from the JongRo District Health Insurance Society in Seoul. A total of 118,336 persons were selected as the final sample for this study. The major findings of this study were as follows; 1. The volume of ambulatory utilization among users was statistically significant by income level. 2. Among different income groups, the volume of ambulatory utilization was statistically significant by the acuteness of illness. 3. Higher income groups with chronic diseases had a greater volume of ambulatory utilization than other groups.

• Journal of Korean society of Dental Hygiene
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• v.23 no.2
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• pp.125-132
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• 2023

Objectives: This study used the 2018 Korea Health Panel Survey data to analyze factors affecting employment status and income relating to unmet dental and medical care needs. Additionally it investigated measures to reduce oral health inequality among various socioeconomic classes. Methods: Descriptive statistics for the subjects' unmet dental and medical care needs were calculated through chi-square test analysis, and multivariate logistic regression analysis was applied to identify factors affecting the unmet dental and medical care needs. The odds ratio and 95% confidence interval were calculated for each level. These data were analyzed using STATA 17.0 SE (64-bit) version, and the statistical significance level was set to p<0.05. Results: As a result of unmet dental and medical care needs according to general characteristics, the lower the education level (p<0.001), the higher the age (p<0.001) and the lower the household equalization income (p<0.024) and the smoker status (p<0.003) were, respectively. Factors that have a statistically significant impact on unmet dental and medical care needs were divorce, separation and bereavement (p<0.001) in individuals than in married persons, and being smokers than non-smokers (p<0.009). The frequency of unmet dental and medical care needs were found to be lower in the cases of a high school graduate than an elementary school graduate (p<0.018), and of higher household equalization income (p<0.001) than the lowest household equalization income, respectively. Conclusions: It was found that various factors such as age, education level, household equalization income, employment status, type of working hours type, and smoking status affect unmet dental and medical care needs.

• Korea Journal of Hospital Management
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• v.26 no.3
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• pp.13-27
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• 2021

Purpose: We examined the relationship between operating income and volume of medical services provided at general hospitals in 2018 according to characteristics of general hospitals and measured as operating income(net income) and volume(adjusted inpatient days) covered or non-covered by National Health Insurance(NHI). Methodology: Finance data from income statement reports in 212 general hospitals and the national health insurance claim data of these hospitals were used. The characteristics of the general hospital were divided into structural, operational, financial, and patient aspects. Operating income and volume were divided into covered and non-covered by NHI. Findings: The results showed high volume hospitals tended to be more profitable than low volume hospitals, especially in non-covered services. Operating income was more likely to be sensitive to non-covered services volume than to covered services volume. Practical Implications: It is necessary to understand the volume of services in non-covered, in order to obtain reliable cost information to be used for the fee schedule. Researches on small size hospitals(<160 beds) are needed, with a large variation in the volume of services and a strong tendency to compensate for the loss in the covered part in non-covered part.

• 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.