• 보건행정학회지
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• 제18권2호
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• pp.1-18
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• 2008

As medical insurance had been implemented for Magnetic Resonance Imaging (MRI) from January 1, 2005, this study investigated whether there had been any change in the amount of the medical care utilization of patients who undertook MRI before and after the insurance coverage, and was to examine factors affecting the amount of medical care utilization of MRI. Data were collected from patients who undertook MRI before and after the insurance coverage for a year at a general hospital in Kyeanggi-do. $X^2$ and t-test were used for the analysis of their general characteristics, the number of MRI, and its medical costs before and after the insurance coverage, and hierarchical multiple regression analysis for the factors affecting the amount of the medical care utilization of MRI. The results of this study were as follows. First, the number of MRI after the insurance coverage was significantly decreased. Second, there was no significant difference in the total medical costs of MRI after the insurance coverage, but a significant difference was found in patient's share of medical costs. Third, six variables were found to be affecting the amount of the medical care utilization of MRI, and the variables showed to lead the number of MRI decrease after the insurance coverage. These six factors explained 21.4% of the total number of MRI. As MRI had been covered by insurance, the use of MRI and patient's share of the costs were deceased, but the total medical costs were not affected. Reasons for that could be found in that MRI insurance, different from the case of CT insurance coverage, was allowed not to cover some items and the kinds of diseases subjected to the insurance coverage were extremely limited, lowering insurance prescription rate. In addition to that, the average medical cost of MRI was not changed after the insurance coverage. Therefore, as future measures for the MRI insurance, coverage, it should be considered to allow insurance coverage to no coverage items and to expand the scope of benefit coverage, or to lower patient's share of the costs. Furthermore, researches should be done to explore how recipients will act and how suppliers will react if the coverage is expanded, including expanding the scope of coverage and reducing patient's share of the costs, as well as to conduct research on its economic analysis according to case mix.

• 보건행정학회지
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• 제33권3호
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• pp.295-310
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• 2023

Background: The long-term care (LTC) group has higher rates of chronic disease and disability registration compared to the general older people population. There is a need to provide integrated medical services and care for LTC group. Consequently, this study aimed to identify medical usage patterns based on the ratings of LTC and the characteristics of benefits usage in the LTC group. Methods: This study employed the National Health Insurance Service Database to analyze the effects of demographic and LTC-related characteristics on medical usage from 2015 to 2019 using a repeated measures analysis. A longitudinal logit model was applied to binary data, while a linear mixed model was utilized for continuous data. Results: In the case of LTC ratings, a positive correlation was observed with overall medical usage. In terms of LTC benefit usage characteristics, a higher overall level of medical usage was found in the group using home care benefits. Detailed analysis by medical institution classification revealed a maintained correlation between care ratings and the volume of medical usage. However, medical usage by classification varied based on the characteristics of LTC benefit usage. Conclusion: This study identified a complex interaction between LTC characteristics and medical usage. Predicting the requisite medical services based on the LTC rating presented a challenge. Consequently, it becomes essential for the LTC group to continuously monitor medical and care needs, even after admission into the LTC system. To facilitate this, it is crucial to devise an LTC rating system that accurately reflects medical needs and to broaden the implementation of integrated medical-care policies.

• 보건행정학회지
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• 제14권3호
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• pp.20-44
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• 2004

The National Health Insurance Expenditure has been increased rapidly since the introduction of the separation of prescription and dispensing in 2000, and this trend of rapid growth in overall spendings rate has been observed predominantly among medical practitioners. This study was conducted to investigate the growth rate and distributional changes in private medical practitioners' expenses from 1999 to 2002 and its determinants using the National Health Insurance claims data. The total increasing rate of all medical practitioners' expenditure paid by the National Health Insurance between 1999 and 2002 was $41.71\%$, which exceeding that of general hospitals by $20\%$p. But the income distribution among each practitioner was improved as the changes in Gini coefficient(from 0.40 to 0.38) and decile distribution ratio(from 0.25 to 0.29) during the same period showed. However, this improvement in distributional patterns is not enough since even in 2002 it turned out that the highest $10\%$ income group earned 33times more than the lowest $10\%$ income group did. Also, higher Gini coefficient was observed in larger cities and some department like plastic surgery, obstetrics and gynecology. The major causes of this differentials in medical practitioners' expenses were factors related to medical demand like proportion of old population, residential economic status in a given area. In addition, providers' economic incentives also played an important role in determining their income distribution. The large income differentials among physicians may imply a skewed distribution of patients and thus long waiting time, inefficient utilization of resources and potential inadequate quality of care. In this sense, unreasonable distributional gaps should be reduced, so effective measures as well as ongoing monitoring would be necessary to correct current distributional problems.

• Journal of Preventive Medicine and Public Health
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• 제49권1호
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• pp.53-60
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• 2016

Objectives: The purpose of this study is to examine the magnitude of and the factors associated with the downward mobility of first-episode psychiatric patients. Methods: This study used the claims data from the Korean Health Insurance Review and Assessment Service. The study population included 19 293 first-episode psychiatric inpatients diagnosed with alcohol use disorder (International Classification of Diseases, 10th revision [ICD-10] code F10), schizophrenia and related disorders (ICD-10 codes F20-F29), and mood disorders (ICD-10 codes F30-F33) in the first half of 2005. This study included only National Health Insurance beneficiaries in 2005. The dependent variable was the occurrence of downward mobility, which was defined as a health insurance status change from National Health Insurance to Medical Aid. Logistic regression analysis was used to assess factors associated with downward drift of first-episode psychiatric patients. Results: About 10% of the study population who were National Health Insurance beneficiaries in 2005 became Medical Aid recipients in 2007. The logistic regression analysis showed that age, gender, primary diagnosis, type of hospital at first admission, regular use of outpatient clinic, and long-term hospitalization are significant predictors in determining downward drift in newly diagnosed psychiatric patients. Conclusions: This research showed that the downward mobility of psychiatric patients is affected by long-term hospitalization and medical care utilization. The findings suggest that early intensive intervention might reduce long-term hospitalization and the downward mobility of psychiatric patients.

• 한국치위생학회지
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• 제15권1호
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• pp.31-38
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• 2015

Objectives: The purpose of this study is to investigate the factors of oral health beliefs on scaling performance by national health insurance coverage in consumers. Methods: The subjects were 353 people living in Seoul, Incheon, and Gyeonggi-do from September 25 to October 20, 2013. They filled out the self-reported questionnaire after receiving informed consents. The questionnaire included 6 questions of general characteristics, 6 questions of oral health behavior, 6 questions of health insurance coverage, and 1 question of subjective oral health recognition. The oral health belief consisted of 6 questions of seriousness, 6 questions of susceptibility, 8 questions of barriers, 5 questions of benefit, and 3 questions of self-efficacy measure by Likert 5 scale. Cronbach's alpha in the study was 0.759. Data were analyzed using SPSS version 20.0 for frequency analysis, t-test, ANOVA, post-hoc Scheffe test, Pearson's correlation coefficient, and binary logistic regression. Results: The influencing factors of oral health belief model were Seriousness(${\beta}=0.091$), Self efficacy(${\beta}=-0.471$) and age(${\beta}=0.855$)(p<0.05). Those who had highly perceived seriousness and younger age tended to have probability of scaling performance. Higher self-efficacy tended to take more chance to have scaling performance probability. Conclusions: In order to cover the scaling by national health insurance, it is very important to notice the benefit of health insurance coverage of scaling to the consumers. National health insurance coverage enables the scaling practice to be easily accessible to the people. Easy access to scaling by low cost strategy can improve the oral health behavior.

• 한국병원경영학회지
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• 제17권3호
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• pp.23-36
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• 2012

Objectives : The coverage of Korean National Health Insurance is limited to basic level. Korean government encourages private health insurance for covering medical securities. So, many studies examined the determinants of purchasing private health insurance. However, 11% of Korean population is older than 65 in 2011. Considering the elderly is important to establish a health policy. The aim of this study is to examine factors determining the purchase of private health insurance among middle-aged and elderly Korean adults. Methods : We used the second Korean Longitudinal Study of Ageing (KLoSA), selected 8,688 sample of the aged 47 or older for the analysis. KLoSA collected information on demographic characteristics, income, health- related factors. KLoSA data include in the number of outpatient, inpatient, oriental hospital visit, dental clinic visit for two years. Logistic regression was used to examine the relationship between the determinants of purchasing private health insurance and the factors which include age, gender, education, residential district, marital status, smoking, drinking, physical exercise, economic activity status, national health insurance type, income, the number of chronic disease, and the number of outpatient, inpatient, oriental hospital visit, dental clinic visit for two years. Results : People who were older, did not live in a city, had higher IADL, currently drunk alcohol, did exercise regularly and had chronic diseases more than three were inclined not to purchase private health insurance. Females, the married, well-educated, past & currently smokers, the employed, high income earners, national health insurers, metropolitan citizens and someone who got high MMSE were more likely to purchase private health insurance. The more people experienced outpatients, inpatients, dental clinics and Chinese medicine clinics, the more private health insurance was purchased. The elderly people over 75 had more private health insurance than the aged 65-74. The strongest factors for private health insurance is gender, and economic status such as income. Conclusion : In this study, we found healthy-high income people were more likely to purchase private health insurance. In contrast, unhealthy-low income and older people did not. The economic factors were strongly related with private health insurance in aged over 75. These mean inequality exists in the using private health insurance. Therefore, the government should consider vulnerable social group before expanding private health insurance.

• 보건행정학회지
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• 제33권1호
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• pp.55-64
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• 2023

Background: Despite the various activities of the regional public hospitals, discussions are being made as to whether or not to continue due to the issue of financial deficit. Therefore, the main factors affecting the fiscal deficit were analyzed with 10-year data. Methods: This study is a panel analysis that analyzed the characteristics of 34 regional public hospitals and influencing factors on medical benefits for 10 years from 2010 to 2019. First, we analyze the determinants of medically vulnerable areas set by the government, analyze the trend of medical profit per 100 beds and medical profit rate from 2010 to 2019, and identify the factors that affect them. Results: Differences in medical profit per 100 beds and medical profit-to-medical profit rate were caused by market share representing regional characteristics, and both indicators improved as the number of outpatients increased. The important influencing variables are the number of doctors and nurses, and both indicators improve when there are specialists, but medical benefits decrease as the number of doctors increases when judged by the number of people per 100 beds. In addition, the number of nurses per 100 beds does not contribute to medical profit and has a negative effect on the medical profit ratio. Conclusion: As only regional characteristics were taken into account for medically vulnerable areas, operational characteristics need to be considered. The greatest impact on the finances of local medical centers is the proper staffing of doctors and nurses, and their efficient arrangement is the most important factor in financial stability.

• 보건행정학회지
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• 제24권4호
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• pp.322-329
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• 2014

Background: As most of people in Korea are covered by National Health Insurance (NHI), the disease information collected in NHI provides high availability for health policy. Nevertheless, the validity of disease codes in NHI data has been controversial till now. So we tried to evaluate the validity of them by comparing the NHI claims data with Korean National Hospital Discharge In-depth Injury Survey (KNHDIIS) data. Methods: We compared the NHI patients sample data (2009) with the KNHDIIS data (2009). We selected the inpatient data of KNHDIIS and NHI patients sample. The weighted number of patients from NHI patients sample was 5,551,210 and the number of patients from KNHDIIS was 5,559,874. We classified the disease codes into principal diagnoses and other diagnoses, and we compared as one, two, three unit level. Also we calculated the agreement rate of each of them. Results: In the comparison of principal diagnoses, NHI claims data had more C code than KNHDIIS data did, whereas KNHDIIS data had more Z code than NHI claims data did. In the comparison of other diagnoses, NHI claims data had 2, 3 more codes than KNHDIIS data did. The overall agreement rate at three unit level was 76.5% in principal diagnoses and 46.8% in other diagnoses. Conclusion: Considering the large difference between the two data, the validity of disease codes in NHI Claims data seems to be low. To increase the validity of them, the definite detail coding indicator, the reinforcement of coding education, and the reform of system are needed.

• 보건행정학회지
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• 제19권3호
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• pp.125-141
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• 2009

The purpose of this study was to examine the role of provider practice patterns in the difference in health expenditure between the two types of patients: Health Insurance and Medical Aid type 1. The study used the outpatient claim data for all Medicaid and health insurance patients of hypertension who received medical services from 8,454 primary care physicians during the first half of 2006. The data were stratified by patient's gender and age for the two groups of patients who received care from the same physician. The dependent variables were the differences in medical expenditure per case, patient days per case and medical expenditure per patient day between Medicaid patients and health insurance patients. Empirical results showed that physician characteristics, such as physicians under age 50, greater proportion of pediatric Medicaid patients, lower proportion of new Medicaid patients and the greater number of comorbidity of Medicaid patients are associated with the greater difference between the two types of patients (i.e., greater expenditure of Medicaid patients relative to health insurance patients). This study shows that factors associated with provider practice patterns need to be taken into account in Medicaid policy.

• Journal of the Korean Data and Information Science Society
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• 제21권6호
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• pp.1253-1261
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• 2010

본 연구는 국민건강보험공단의 건강검진데이터, 자격 및 보험료, 그리고 진료비 데이터를 활용하여 위암 발생 예측모형을 개발하고자 하였다. 모형개발에는 데이터마이닝 방법론에 의한 로지스틱 회귀모형을 활용하였으며, 모형개발은 남성, 여성 그리고 전체에 대해 각각 개발하여 각 모형에서 위암 발생 결정요인의 차이를 비교하였다. 그 결과 위암 발견 예측에 가장 큰 영향을 미치는 특성은 수검자의 연령이었고, 다음으로 음주, 가족병력 (암) 순으로 나타났다. 남자가 여자보다 위암 발견 가능성이 다소 높은 것으로 나타났으며, 남성의 경우는 연령, 여성의 경우는 음주유무가 위암 발생에 많은 영향을 미치는 것을 확인 할 수 있었다.