Purpose: This study aims to examine the effect of the copayment reduction policy on the health care utilization of patients under age 15 after the policy started in 2017. (이하는 아래 methodoloty로 이동) Methodology: Data on the ALOS, the average admission cost, and the out-of-pocket expenditure for patients under 15 years of age from 2015 to 2019 were obtained from the National Health Insurance database. Policy effects were measured by analyzing three dependent variables before and after policy: the average length of stay (ALOS), the average admission cost, and the out-of-pocket expenditure for patients under 15 years of age. The collected data were analyzed using the SAS package, and the analysis methods used in this study were the mean difference test and linear regression analysis. Findings: The study results reveal that, after the copayment reduction policy in the year 2017, the ALOS and the out-of-pocket expenditure were significantly decreased, but the average admission cost was significantly increased. Practical Implications: These results imply that the policy of copayment reduction for the patients under the age of 15 has contributed to mitigating the patients' financial burden with little concern about growing medical utilization.

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.

Purposes: The objective of this study is to analyze service design process of dental clinic preventive service by using 'Double Diamond Design Process' which is user-centered for improving dental clinic management efficiency. Methodology: We examine case study that dental clinic preventive service of local dental clinic. Following the double diamond design four steps(①discover, ②define, ③develop, ④deliver), we use suitable analytic tools in each steps. In discover step, we perform observation and desk research. Next, in define step, affinity diagram, user persona, and user journey map are performed. We then make service blueprint in develop step. Finally, in deliver step, virtual scenario and confirm some outputs which are based on results of former steps are suggested. Findings: As a result of this study, waiting and consulting phases turn out that these phases are in the most trouble than others. Users(patients) have lots of complain and dissatisfaction in these phases. These touch-points will have to be modified Practical Implication: After checking this study result, it could suggest improvement schemes. To apply these, we try to make some scenarios, and finally realize some outputs. Service design has arisen to strengthen the competitiveness by reflecting user's experience and needs. Especially, service design is not typical, it is so flexible that can apply to various situation and objects. We hope that result of this study is made good use for dental clinics in need.

Purposes: The purpose of this study is to confirm the effect of mother's nationality on screening rates for infants and children health screening. We intend to find out if there is a difference in health level between infants of multicultural families and infants of domestic families, and contribute to policies to enhance future national health levels by providing information on them. Methodology: Data for those who received the first infant and children health screening between 2012 and 2018 were obtained from the National Health Insurance Service(NHIS) DB. Frequency analysis, chi-square test and logistic regression analysis were performed with the SAS 9.4 program, and the case where all the 1st to 3rd checkups were completed was defined as type I, and the case of all the 1st to 7th checkups completed, type II. Findings: Complete screening rates for type I and type II were 45.8% and 20.0%, respectively. Especially, complete screening rate of infants whose mothers nationality is foreign is only 3-4th of that of domestic mothers, and it also differed according to nationality. Practical Implications: The difference in the screening rate according to the mother's nationality is likely to lead to a health gap between multicultural families and domestic families. It is necessary to promote and encourage proper monitoring and health management through continuous health screening for infants and children.

There are few domestic studies on medical services in medically vulnerable areas where medical use is not met due to a lack of medical resources. The past studies on smart medicine targeting medically vulnerable areas grasp only the overall satisfaction level, or the sub-dimensions of satisfaction are not classified clearly. Also, it lacks consideration of the patient's needs. This study aims to analyze the effect of users' experience of the smart medicine pilot project conducted in medically vulnerable areas on satisfaction and demand. The user's experience was measured by variables in the dimensions of structure, process, and outcome. Among the pilot project participants, 282 subjects responded to the 2019 survey. Using the hierarchical regression method, we tried to find out the determinants of satisfaction and service demands. Experience factors affecting satisfaction were found to be accessibility, certainty, effectiveness, and efficiency. In addition, it was found that the demand in their 60s was high and that accessibility, certainty, effectiveness, and efficiency had a statistically significant effect on the demand. It is expected that the smart medicine pilot project will be effectively operated by well utilizing the factors influencing satisfaction and demand revealed in this study.

Background: It is widely acknowledged that single bedrooms have many potential advantages compared to multiple bedrooms. However, Korea has a reimbursement system that patients have to pay the additional fee if they will use single bedroom or pay-bed (1-3 bedroom). There is little research on patients' bed selection and relationship between patient satisfaction and bed type in the Korean setting. Methods: Using the 2017 Korea Health Panel (KHP) Survey data, we modified bed type by two dichotomous variables: single bedroom vs. multiple bedroom (2+ bedrooms) and pay-bed (1-3 bedroom) vs. reimbursed bed (4+ bedroom). Multivariate logistic regression is performed to determine the factors affecting the patient's choice of room types. Multivariate regression analysis was conducted to examine how hospital room types are affecting patient satisfaction. Results: Single room and pay-bed (1-3 bedroom) use was influenced by patient age (19- years old), male, a person at work, hospitalizing in a clinic, and birth. After controlling variables of the behavioral model of medical utilization, the association between patient satisfaction and use of single bedroom & pay-bed (1-3 bedroom). Cause of hospitalization, major treatment, and recognition of unnecessary care are statistically significant variables on patient satisfaction. Conclusion: Although the single room is about the standard for newly built hospitals in western countries, it remains unclear that single room or pay-bed (1-3 bedroom) has positive effects on patient's outcomes and satisfaction. In this empirical study, the difference in patient satisfaction by bedroom type was not noticeable. In terms of bed management by hospital staff, securing patient credibility in hospital care is an important task. Patients' perception of whether medical staffs have encouraged unnecessary treatment or tests has a significant impact on patient's satisfaction.

Purposes: 우리나라 공공의료기관들의 경영실적 보고에 따르면 대부분의 공공의료기관들이 만성적자로 인한 경영난 문제를 겪고 있는 실정이다. 이는 공공의료서비스 제공 등이 주요 원인이겠지만 그럼에도 공공의료기관들의 경영효율화 문제는 지속적으로 지적되고 있음은 공공연한 사실이다. 이에 본 연구는 고정비 성격이 강한 인적자원관리비용과 경영성과 간의 관계를 분석하여 공공의료기관의 경영성과 개선을 위한 경영적 함의를 제공하고자 하였다. Methodology: 분석자료는 2014년부터 2019년까지 39개 지역거점 공공병원의 재무자료를 이용하였고, STATA SE 12.0을 사용하여 다중회귀분석과 패널회귀분석을 실시하였다. Findings: 다중회귀분석을 통한 단면연구 결과에서는 인건비가 높을수록 경영성과가 높은 경향을(2014년 의료수익:1.523/ 2015년 의료수익: 2.002, 의료수익의료이익률: 0.002/ 2016년 의료수익: 1.223) 보였으나 패널회귀분석을 통한 종단연구 결과에서는 복리후생비가 높을수록 경영성과가 의미있게 높은 경향을(의료수익: 3.232582/ 의료수익의료이익률: 0.0014502) 보였다. 이는 인건비는 경영성과에 단기적인 효과가 있는 반면 복리후생비는 경영성과에 장기적인 효과가 있음을 반영하는 것이라고 볼 수 있다. Practical Implication: 본 연구는 이러한 결과를 기반으로 장기적인 효과가 있는 복리후생비의 중요성을 제시하고, 공공의료기관의 경영성과에 영향을 미치는 인건비와 복리후생비의 특성 파악을 통하여 효과적인 인적자원관리방법을 위한 경영적 함의를 도출하였다는 점에서 의의가 있겠다.