• 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.

• Korea Journal of Hospital Management
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• v.26 no.1
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• pp.71-82
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• 2021

Purpose: The purpose of this study is to estimate incomes and costs of the medical clinics by using secondary data. Methodology: The medical incomes and costs were estimated from 405 clinics operated by sole practitioner providing out-patient services among all clinics subject to the Medical Cost Survey on National Health Insurance Patients in 2017, excluding dental clinics and oriental medical clinics. The incomes and costs of the medical clinics were reflected with incomes and costs of health insurance benefits and were calculated by types of medical services (i.e., basic care, surgery, general treatment, functional test, specimen test and imaging test). The costs were classified as follows: labor costs, equipment costs, material costs and overhead costs. Secondary data was used to estimate the incomes and costs of the medical clinics. For allocation bases for costs for each type of the medical service, the ratio of revenue from health insurance benefits by types of medical services was applied. However, labor costs were calculated with the activity ratio by types of medical services and occupations, using clinical expert panel data. Finding: The percentage of health insurance income for all medical income was 73.1%. The health insurance cost per clinic was 401,864 thousand won. Labor cost accounted for the largest portion of the health insurance income was 191,229 thousand won (47.6%), followed by management cost was 170,018 thousand won (42.3%), materials cost was 35,434 thousand won (8.8%), and equipment costs was 5,183 thousand won (1.3%). Practical Implications: This study suggests a method of estimating incomes and costs of medical clinic services by using secondary data. It could efficiently provide incomes and costs to assess an appropriate level of the health insurance fee to the clinics.

• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.277-286
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• 2014

The purpose of this study was to identify the relationship between the health insurance perception level and health insurance satisfaction for national health insurance subscriber. The collected data were analyzed by $X^2$-test, t-test, ANOVA using the SPSS/WIN (ver.14.0). Research results can be summarized as follows. The relationship between the health insurance perception level and health insurance satisfaction was relatively high. The study showed significantly high levels in the score of health insurance satisfactions according to perception of security level, health insurance premium, positive thinking, and fair in premium charge. Also health insurance satisfaction scores were significantly low levels according to perception of raise health insurance premium and burden on households. This study investigated the relationship between the detail perception and satisfaction for national health insurance. Therefore, we are setting the overall direction of national health insurance perception, and look forward to utilizing the basis data as help to improve the system of health insurance for people.

• Journal of Preventive Medicine and Public Health
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• v.40 no.4
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• pp.329-335
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• 2007

Objectives : To identify the effects of supplemental private health insurance on health care utilization and expenditure under the mandatory National Health Insurance(NHI) system in Korea. Methods : The data were collected by the National Cancer Center in Korea. Cancer patients who were newly diagnosed with stomach (ICD code, C16), lung(C33-C34), liver (C22), colorectal cancer(C18-C20) or breast(C50) cancer were included as study subjects. Data were gathered using a structured questionnaire from face-to-face interviews, the hospital Order Communication System (OCS) and medical records. Clinical, socio-demographic and private health insurance related factors were also gathered. The differences of health care utilization and expenditure were compared between those who have private health insurance and those who do not using t-test and multivariable regression analysis. Results : Individuals with private health insurance spent larger inpatient costs than those without, but no differences were found in utilization in other service such as hospital admissions, hospital days and physician visits. Conclusions : We found that private health insurance exerts a significant effect on the health care expenditure in inpatient service. These study results can provide a rational basis to plan a national health policy regarding private health insurance. Further studies are needed to investigate the impacts of private health insurance on cancer patients' outcomes and survival rates.

• Journal of Korean society of Dental Hygiene
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• v.17 no.3
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• pp.355-368
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• 2017

Objectives: The purpose of this study was to examine the recognition about scaling after health insurance benefit business for scaling by national health insurance corporation for the general public. Methods: In order to examine the recognition about scaling after health insurance benefit business for scaling by national health insurance corporation for the general public, study subjects were selected from those who are over 20 years old, living in Seoul and Gyeonggi province since December 2016. Among 300 selected subjects, data of 279 subjects were used for the analysis which is 93% of selected data, except 21 data with insufficient responses. Results: Results of examined factors affecting the recognition about scaling after health insurance benefit business for scaling by national health insurance corporation for the general public show that the recognition about scaling after national health insurance benefit is affected by female (p<0.05), past smoker (p<0.01), exercise more than 3 times a week (p<0.05) and 1-2 times a month (p<0.001) in order. Conclusions: It is necessary to prepare a plan to properly inform the national health insurance benefit for dental scaling and to raise the recognition about the necessity of scaling.

• Korea Journal of Hospital Management
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• v.28 no.2
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• pp.9-20
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• 2023

Purpose: This study classified the actual functions of geriatric hospitals and examined the differences in their characteristics, in order to provide a basis for discussions on defining the functions of geriatric hospitals and how to pay for care. Methodology: This study used various administrative data such as health insurance data and long-term care insurance data. Cluster analysis was used to categorize geriatric hospitals. To examine the validity of the cluster analysis results, we conducted a discriminant analysis to calculate the accuracy of the classification. To examine cluster characteristics, we examined structure, process, and outcome indicators for each cluster. Findings: The cluster analysis identified five clusters. They were geriatric hospitals with relatively short stays for cancer patients(cluster 1; cancer patient-centered), geriatric hospitals with relatively large numbers of patients using rehabilitation services(cluster 2; rehabilitation patient-centered), geriatric hospitals with a high proportion of relatively severe elderly patients(cluster 3; severe elderly patient-centered), geriatric hospitals with a high proportion of mildly ill elderly patients with various conditions(cluster 4; mildly ill elderly patient-centered), and geriatric hospitals with a significantly higher proportion of dementia patients(cluster 5; dementia patient-centered). The largest number of geriatric hospitals were categorized in clusters 4 and 5, and the structure and process indicators for these clusters were generally lower than for the other clusters. Practical Implications: We have confirmed the existence of geriatric hospitals where the medical function, which is the original purpose of a geriatric hospital, has been weakened. It has been observed that the quality level of these geriatric hospitals is likely to be lower compared to hospitals that prioritize enhanced medical functions. Therefore, it is suggested to consider the conversion of these geriatric hospitals into long-term care facilities, and careful consideration should be given to the review of care-giver payment coverage.

• Health Policy and Management
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• v.30 no.2
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• pp.178-184
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• 2020

Background: Korea set up a new diagnosis-related group as a demonstration project in 2009. The new diagnosis-related group was reformed in 2016. The main purpose of the study is to identify the effect of reform on coverage of national health insurance. Methods: This study collected inpatient data from a hospital that contains medical information and cost from 2015 July to 2016 June. The dependent variable was the coverage of national health insurance. The dependent variable was divided by total, internal medicine partition, surgical partition, and psychiatric partition. To analyze the effect of the reform, this study conducted an interrupted time series analysis. The final sample included 23,695. Results: The health insurance coverage of internal medicine has the highest, followed by surgery and psychiatry. The health insurance coverage of bundle payment is higher than that of unbundled payment. The proportion of bundled payment and non-benefit decreased and the proportion of unbundled payment increased. The coverage of national health insurance significantly increased after policy reform in internal medicine partition (p-value=0.0356). Conclusion: The results of the study imply that policy reform enhanced the coverage of national health insurance in internal medicine. The government needs to monitor side effects such as an increase of unbundled payment.

• Health Policy and Management
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• v.15 no.4
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• pp.161-175
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• 2005

Since the introduction of mandatory health insurance in In, the Korean national health insurance(KNHI) has grown rapidly. In 2004, about $96.9\%$ of the total population are covered by the KNHI and the remaining $3.1\%$ by the Medical Aid program. Despite national health insurance system in Korea, private health insurance market has grown rapidly. In 2004, the size of the private health insurance market was estimated at 6,568 billion won. The purpose of this study Is to identify the factors that determine the purchasing decisions of supplementary private health insurance under mandatory national health insurance system in Korea. The data from n04 Busan Health Survey were analysed for the Purpose. The variables in this study are demographic factors, health status and health behavioral factors, health care systemic factors, and socioeconomic factors. For statistical analyse, we used logistic regression. The Findings show that female, economically active age group(especially 35-49 years), persons with better health status or experience of health screening test are more likely to purchase private health insurance. And higher household income and expenditure, higher education level are more associated with the increased probabilities of private health insurance purchases. This results imply that the expanding of private health insurance market could widen the gap between the have and have-not in terms of equal health care accessibility.

• Journal of Korean Public Health Nursing
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• v.30 no.3
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• pp.512-525
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• 2016

Purpose: Ageing in place may improve the quality of life of frail elderly and decrease their costs of services. The purpose of this study was to examine the factors that influence the institutionalization of elderly using home care services in a Korean long-term care insurance system. Methods: This study used the data of '2009 Satisfaction survey of Korean long-term care system'. The survey proceeded to use a sampling data based on region, level of long-term care need, and insurance type among the beneficiaries between August and September 2009. The onset dates of institutionalization of 1,095 participants were ascertained from long-term care insurance claim data. This study calculated the hazard ratio through the Cox Proportional Hazard Model. Results: A total of 176 subjects who were institutionalized in nursing homes were included. There were higher risks in the group that included those who were 85 years and over, had dementia or fracture, used home-visit nursing service, and were not supported by direct family. Conclusion: The results of this study have policy implications to supplement the home care service system and postpone nursing home institutionalization of elderly.

• 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.