The purpose of this study is to analyze the performance difference between public and private hospitals. It is believed that private hospitals may have a better performance compared to public hospitals. The study support the hypothesis. By analyzing 425 acute-care hospitals in Korea, this research shows a less performance of public hospitals compared to private hospitals. Higher labor and administrative cost by public hospitals may account for the difference, and it means they are not effective at cost control. Managers in public hospitals, therefore, should pay attention on cost-reducing issues to regain managerial efficiency of organizations.

The purpose of this study is to find out factors affecting patient moving to receive medical service. This study is analyzed by multi-level model with patient and hospital level by using SAS 9.3. Total number of patients is 600,000 persons for inpatients and 550,000 patients for outpatients. The degree of the factors, which is combined with personnel factor and hospital factor, can be analyzed by Intra-Class Correlation (ICC). The percentage of group(hospital) level variance of the total variance for out-bound moving case are 30.6% at inpatients, and 28.3% at outpatients. And the percentage of hospital level variance of the total variance for moving distance, are 26.7%, 32,5% respectively. Conclusionally, although the main factor of moving is patient level, hospital is also very important factor to make decision to go out-bound. It contributed to about 1/3 for hospital choice. And, when the one make decision, he will consider the hospital type, number of bed, and training institute in hospital level. Through this study to find out hospital factors affecting patient moving for medical service, it must be continued to find out which factors have more influence to choice the hospital among disease type after this.

This study was conducted to propose an insight into the appropriateness of hospital length of stay(LOS) by developing a severity-adjusted LOS model for patients with pneumonia, organism unspecified. The pneumonia risk-adjustment model developed in this paper is based upon the 2006-2010 the Korean National Hospital Discharge in-depth Injury Survey. Decision tree analysis revealed that age, admission type, insurance type, and the presence of additional disorders(pleural effusion, respiratory failure, sepsis, congestive heart failure etc.) were major factors affecting the severity-adjusted model using the Clinical Classifications Software(CCS). Also there was a difference in LOS among the regional hospitals, especially the hospital LOS has not been efficiently managed in Gyeongsangbuk-do, Jeollanam-do, Jeollabuk-do, Daejeon, and Busan. To appropriately manage hospital LOS, reliable statistical information about severity-adjusted LOS should be generated on a national level to make sure that hospitals voluntarily reduce excessive LOS and manage main causes of delayed discharge.

The objective of this study is to analyze the effects of DINESCAPE on patient satisfaction and the intention of maintaining long-term relationship for Chinese Patients who received medical services at plastic surgery clinics in South Korea. For an empirical analysis, a total of 250 respondents were surveyed from may 1 to october 20, 2014. Of these, 200 respondents were considered to be reliable for statistical analysis. According to the analysis results, among the components of DINESCAPE, atmosphere, cleanliness, convenience and accessibility, employees service, and the convenience of using the websites had positive effects on patient satisfaction, which exerted a positive effect on the intention of maintaining long-term relationship with patients.

Purpose: This study aims to explore the effects of personal characteristics, satisfaction, quality of care, role performance, image, awareness level of public hospitals perceived by community residents on use-experience of public hospitals. Methods: A cross-sectional survey was conducted with 2,100 community residents around 39 district public hospitals. The questionnaire was designed to collected information on personal characteristics and community awareness of public hospitals. The community awareness consists of 5 factors and 15 items. The data were collected utilizing call-interview by a survey company. Results: The personal characteristic and community awareness were shown significant differences between having use-experience and not-having use-experience of public hospitals (p<.001), except gender. As the results of multiple logistic regression, the significant variables of use-experience of public hospitals were satisfaction (OR=1.06 95%CI=1.010-1.116), quality of care (OR=1.07, 95%CI=1.016-1.134, level of awareness to public hospitals (OR=1.50, 95%CI=1.378-1.632), age (OR=0.43, 95%CI=0.236-0.785), education (OR=1.62, 95%CI=1.013-2.590), type of medical security (OR=0.37, 95%CI=0.142-0.945). Conclusions: Public hospitals have to effort to improve community awareness through providing quality of care, and role performance. It is possible to support them by the Central and Local Government.

Since the introduction of National Health Insurance(NHI) in 1977, it has grown rapidly and contributed to extend patient's access to the health care services. However, limited coverage for health care services of NHI has been ongoing challenge and private health insurance(PHI) has been rising as an alternative source of enhancing coverage and saving out-of-pocket(OOP) expenditure for patients. In this study, after controlling for socio-demographic, economic, health related variables, we identified the patients' healthcare utilization and subsequent OOP expenditure depending on their PHI enrollment and their enrollment types(fixed benefit, indemnity, fixed benefit plus indemnity). Data were collected from the 2010 Korean Health Panel. The unit of analysis was a member of household(n=13,324). Of the 13,324 cases, 70.7% of patients held PHI, in detail, fixed benefit(47.0%), indemnity(3.6%), fixed benefit plus indemnity(20.1%). Major findings showd that patients who enrolled in PHI used more outpatient services(outpatient visit, number of physician visit, number of examination) and spent more OOP expenditure than non-PHI patients. There were also differences of healthcare utilization and OOP expenditure among the types of PHI. In addition, PHI patients used more inpatient services(inpatient use, number of hospitalization, LOS), but there was no significant difference between PHI and non-PHI patients with regard to the OOP expenditure. Thus, we could not find any distinct relationship between the types of PHI and patients' tertiary hospital use. Policy-makers should need careful political deliberation for monitoring the effect of PHI on health care utilization and subsequent expenditure not only to improve patients' coverage but also to save their OOP expenditures.