• Health Policy and Management
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• v.18 no.3
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• pp.90-109
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• 2008

Government has extended the benefit coverage and reduced out-of-pocket (OOP) payment for cancer patients in 2005. This paper intends to examine the impact of the above policy on the equity in health care utilization. This paper analyzed the national health insurance data and compared the health care utilization of cancer patients before and after the policy change for people with 10 different income levels. For the equity in health care utilization, we examined the change in concentration index (CI) for visit days, inpatient days, and health expenditure. In the case of outpatient care, CI of visit days and health expenditure were positive(favoring the rich) in both regional and employee health insurance members and both 'before' and 'after' the policy change. CI values rarely changed after the policy change, and the policy change seems to have little impact on the equity of outpatient care utilization except expenditure of regional subscriber. In the case of inpatient care, CI of inpatient days was negative and CI of health expenditure was positive in both regional and work subscriber and both 'before' and 'after' the policy change. After the policy change, CI of inpatient expenditure in both groups of members decreased. CI of inpatient days changed in the direction favoring the poor in regional insurance members, but it rarely changed in employee insurance members. These results suggest that the policy of reducing OOP payment has a positive impact and reduced the inequity particularly in the utilization of inpatient care of cancer patients.

• Health Policy and Management
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• v.31 no.4
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• pp.508-517
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• 2021

Background: After the first case of coronavirus disease 2019 (COVID-19) in January 2020, Korea has experienced three waves in 2020. This study aimed to analyze changes in health care utilization according to the period of the 1st to 3rd waves of the COVID-19 pandemic. Methods: We analyzed 3,354,469,401 national health insurance claims from 59,104 medical facilities between 2017 and 2020. Observed-to-expected ratios (O:E ratio) with data from 2017 to 2019 as expected values and data from 2020 as observed values were obtained to analyze changes in medical utilization. T-test was used to test whether the difference of observed and expected values was statistically significant. Results: In 2020, the O:E ratio was 0.894, indicating a decrease in health care utilization overall during the pandemic. The O:E ratio of the 1st wave was 0.832, which was lower than those of the second (0.886) and third (0.873) waves. Health care utilization decreased relatively more among outpatient, women, children and adolescents, and health insurance patients. And health care utilization decreased more in small medical facilities and in Daegu and Gyeongbuk during the first wave. During the pandemic, the O:E ratios of respiratory diseases were 0.486-0.694, while chronic diseases and mental diseases were more than 1.0. Conclusion: Health care utilization decreased during the COVID-19 pandemic overall, and there were differences by COVID-19 waves, and by the characteristics of patients and medical facilities. It is necessary to understand the cause of changes in health care utilization in order to cope with the prolonged COVID-19 pandemic.

• 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.

• The Korean Journal of Health Service Management
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• v.10 no.4
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• pp.97-107
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• 2016

Objectives : This study aims to : (i) characterize and differentiate between two different periods of baby boomers, (ii) study the utilization of their health care services, and (iii) establish effective ways of providing better health service utilization and preventive policy strategies for upcoming and older generations. Methods : A multiple regression analysis using descriptive statistics, frequency analysis, and dummy variables was utilized to access the presence of correlations between socio-demographic factors and health care service utilization. Results : Medical insurance type, marital status, and chronic disease were factors that influenced health care service utilization. Furthermore, the factors that influenced individual medical expenses were cohabitation, inpatient days, and chronic disease. Conclusions : Primary findings and exploratory statistics revealed that there were strong correlations and interaction among some of the predictor variables. Because of the chronologically limited nature of the sample data set gathered in 2012, it would be helpful to continue to develop or research related constructs that may capture relationships more effectively among extended populations.

• Journal of Korean society of Dental Hygiene
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• v.15 no.5
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• pp.823-829
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• 2015

Objectives: The objective of the study was to investigate the related factors of non-utilization of dental care among Korean adults. Methods: Korean National Health and Nutrition Survey 2012 was carried out in South Korea. A total of 5,589 adults were interviewed and examined. A multinominal logistic regression model was used to estimate the odds ratio with 95% confidence intervals for the non-utilization of dental care. Results: The non-utilization of dental care was shown to have a badly perceived oral health status, less toothbrushing before sleeping(OR=1.18: 95% CI=1.00-1.39), periodontitis symptoms (OR=1.82: 95% CI=1.50-2.22), toothache experience (OR=2.03: 95% CI=1.75-2.34), TMJ symptom experience (OR=3.31: 95% CI=2.74-3.99), speaking problem (OR=1.87: 95% CI=1.75-2.34) and a partial dentures needs (OR=2.49: 95% CI=1.93-3.19). Conclusions: The non-utilization of dental care tended to have badly perceived oral health status, less toothbrushing before sleeping, periodontitis, toothache experience, TMJ symptom experience, speaking problem, and partial dentures needs.

• Journal of Preventive Medicine and Public Health
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• v.22 no.1 s.25
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• pp.136-145
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• 1989

This study made a descriptive analysis of the cumulative amount and rate of sports medical care utilization during the 24th Seoul Olympic Games by the participating athletes, officials, etc. The sports medical care utilization was a component of the total medical care use and was basically caused by the prevention and treatment of sports injuries. The analytic data were derived from the Olympic Health Management Information System(OHMIS) of the SLOOC and the Korea Athlete Trainer Association(KATA). These were analyzed according to the quantity of physician visits and the utilization rate, which was the amount of utilization divided by the total number of participating persons. The results were as follows: Firstly, the sports medical care utilization by the persons participating in the Seoul Olympics amounted to 17.9% of the total medical care utilization. The venue medical services utilization accounted for 54.7% of the total physician visits, which was larger than the village medical center's utilization. The number of physician visits per hundred persons during the 2 week period in the venue clinic was 3.03 and that of the village medical center was 2.51, therefore, the total was 5.54. Secondly, athletes accounted for 82.3% and officials 12.2% in the sports medical care utilization by participants. These results were because athletes, who were directly related to the games, called extremely often on the physicians. The utilization rate of sports medical care by athletes was 34.29. Thirdly, the sports medical demand according to type of therapy could be ranked from high to low in the following order: sports massage, thermal therapy, and electrical stimulation treatment, etc. The department of physical therapy in the village medical center was used a great deal. Fourthly, the trend of daily sports medical care utilization by the athletes showed a bell shape centering around the opening day of the Seoul Olympic Games. The utilization rate of athletes was 2.3; however, that of officials was 0.6. Lastly, the sports medical demand was calculated according to the continents, and Central America, Africa and Middle-East Asia proved to have a higher rate of sports medical care utilization than the more powerful and industrialized continent or regions.

• Health Policy and Management
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• v.12 no.1
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• pp.125-143
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• 2002

The objectives of this study were analysis of patient\`s characteristics and market segmentation in oriental medical care and western medical care. This study focused on medical utilization using Anderson's health utilization model. The source of data was 1998 National Health and Nutrition Survey which Korean Institute For Health and Social Affairs carried out. A stratified multistage probability sampling design was used in this survey. The analysis was conducted using the statistical software package SPSS version 10.0 and Answer Tree 2.1 which is one of data mining methodology. The results were as follows ; 1) 44.9% of respondents reported visiting oriental medical center within recent two weeks. 3.4% of them used oriental medical care. The group of age, kind of disease and medical expenditure are associated with the difference western and oriental medical utilization rate. 2) There were several factors related to utilization of oriental medical care according to decision tree. Especially, important factors that patient chose his medical center were kinds of disease, kinds of common medical use, and expenditure. 3) in the results of CART analysis, market of oriental medical care were classified by seven categories. The major groups who have a preference for oriental medicine were those musculo-skeletal, cerebra-vascular disease, or chronic headache patients, and they had a preference fur oriental medical care in common use. These results show that oriental and western medical market were divided into various areas by market segmentation.

• The Korean Journal of Health Service Management
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• v.10 no.1
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• pp.39-51
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• 2016

Objectives : This study investigated the health care utilization patterns of workers' compensation insurance(WCI) pneumoconiosis patients with excessively long hospital stays. Methods : The discharge summary data of 3,094 WCI pneumoconiosis patients were analyzed. The study sample was divided into 3 groups based on the length of stay(LOS). Health care utilization patterns were compared among the groups with logistic regression analysis, and the LOS determinants were identified with linear regression analysis. Results : The average LOS of the 222 long stay group patients was 1,448 days. Patients in this group tended to use private general hospitals, were admitted through the emergency room and discharged without the consent of a doctor. Conclusions : Many of the long LOS patients will maintain their inpatient status for the rest of their lives. For quality of life and efficient use of health care resources, policy makers need to establish a policy that enables patients to receive outpatient care in appropriate living conditions outside the hospital.

• Health Policy and Management
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• v.10 no.3
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• pp.1-18
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• 2000

This study was conducted to find medical care utilization pattern and to examine the affecting factors on medical facilities utilization using Andersen's medical care service behavioral model. Three hundreds and five public officials with detected disease through the health examination in 1998 were surveyed using self-administered questionnaire. And 230 data were available and analyzed. The results of this study were summarized as follows: Among variables of predisposing factors, knowledge for disease, confidence about periodic health examination program in health insurance, and the attitude toward medical utilization in the usual showed significant relations with the medical utilization. Other variables were not related with the medical utilization. Variables of enabling factors did not show significant relations with the medical utilization. Recognition of family members for detected disease had significant relations with the medical utilization. Among variables of need factors, absence caused by detected disease was significantly related with the medical utilization. The number of non-occupational diseases detected, but untreated people were 75(32.6%) of total subjects, mainly because detected diseases seemed insignificant to them. With multiple logistic regression analysis, the significant variables having an effect on the medical facilities utilization were 'knowledge for disease', 'attitude toward medical utilization in the usual', 'recognition of family members for detected disease' and 'experience of absence caused by detected disease'. On considerations of above findings, counselling for detected disease and its treatment, health education for individuals and program for family support promotion are needed for health management of public officials with diseases detected in health examination.

• Journal of Preventive Medicine and Public Health
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• v.43 no.6
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• pp.496-504
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• 2010

Objectives: The purpose of this study was to analyze the effect of outpatient cost-sharing on health care utilization by the elderly. Methods: The data in this analysis was the health insurance claims data between July 1999 and December 2008 (114 months). The study group was divided into two age groups, namely 60-64 years old and 65-69 years old. This study evaluated the impact of policy change on office visits, the office visits per person, and the percentage of the copayment-paid visits in total visits. Interrupted time series and segmented regression model were used for statistical analysis. Results: The results showed that outpatient cost-sharing decreased office visits, but it also decreased the percentage of copayment-paid visits, implying that the intensity of care increased. There was little difference in the results between the two age groups. But after the introduction of the coinsurance system for those patients under age 65, office visits and the percentage of copayment-paid visits decreased, and the 60-64 years old group had a larger decrease than the 65-69 years old group. Conclusions: This study evaluated the effects of outpatient cost-sharing on health care utilization by the aged. Cost sharing of the elderly had little effect on controlling health care utilization.