Background: The efforts to build more “people centered,” “patient centered” health system has been emerging all over the world. Aligning with it, the Korean government is conducing the survey called “Medical Service Experience Survey (MSES).” There are critics, however, that MSES is not scrutinizing the medical experiences of patients in various healthcare settings. For this reason, this study aims to perform an empirical analysis of the differences in answers of patients responding to various healthcare settings. Methods: There are two steps in this study. First, explanatory analysis is conducted to compare the tendency of statistical concentration on questionnaires by divided healthcare settings. Second, confirmative analysis is carried out to evaluate the construct validity, reliability, and discriminant validity of the questionnaire in each healthcare setting. The raw data of MSES, which was conducted in 2020 by the Ministry of Health and Welfare in Korea and the Korean Institute for Health and Social Affairs is used. Results: As a result of exploratory factor analysis for all outpatients, the items were classified into four factors statistically: “doctor experience,” “nurse experience,” “outpatient service experience,” and “patient satisfaction.” It was confirmed that the reliability of all factors extracted was secured. However, for patients who visited hospitals, questionnaires related to personal privacy, such as “experiences on medical staffs considering physical exposure” or “experiences related to personal information exposure,” were answered in conjunction with items of “nurse experience.” Besides, patients responded that administrative elements of medical services, such as “experiences of comfort in medical institutions” and “experiences of satisfactory administrative services,” were related to the items of “nurse experience.” The answers of patients who visited traditional medical hospitals and clinics about “doctor experience” and “nurse experience” were not discerned statistically, and the answers to “doctor experience,” “nurse experience,” and “medical institution experience” were entangled with the responses of patients who visited dental hospitals and clinics. On the other hand, as a result of the confirmatory factor analysis, it was found that the inquiries of MSES generally had intensive validity. Conclusion The collection of objective and scientific data is the prominent component to enlighten the patient-centered healthcare system alongside with change of the worldwide paradigm of measuring the healthcare system performance as follows the transition of perspective of health care from provider-centered to patient-centered. This study empirically shows that the patient experience can vary as the healthcare settings. Furthermore, to make an advance in measuring the experience of patients with medical services, this article proposes the deliberate consideration of the different kinds of healthcare settings and articulate design of the survey.

Background: Based on the increase in the needs for convalescent rehabilitation medical services in Korea, this study aims to calculate the needs for rehabilitation services and examine its determinants for 229 regions. Methods: Claim data from the Health Insurance Review and Assessment Service were used to estimate patients who need to receive rehabilitation services, and data from various sources were also used for analysis. The number of cases and incidence rates of hospitalization related to convalescent rehabilitation were calculated to estimate the needs for services by region, and the results were visualized via a map. Multivariate regression and fixed effects regression using panel data were performed to identify the determinants of regional variation of the incidence rate. Results: First, the incidence rate of rural areas such as Jeolla-do, Gyeongsang-do, and Chungcheong-do was higher than urban areas (metropolitan cities). Second, the population, proportion of the elder, medical aid recipients, financial independence, traffic deaths, smoking, diabetes rate, and medical infrastructure correlated significantly with the incidence rate. Third, ‘rho’ values which mean the fraction of variance due to individual terms in panel data regression models were 0.965 and 0.976, respectively. Conclusion The incidence rate of hospitalizations was correlated with most independent variables in this study and there is a gap between urban and rural areas. These regional disparities are fixed in our society. An improved regional convalescent rehabilitation system is suggested to cover the entire area including rural areas with a high rate of aging.

Background: This study aims to figure out the gaps in health status by estimating amenable mortality rate by region, reflecting the characteristics of Korea, and estimating the years of life lost (YLL) per capita by disease. Methods: People who died from amenable diseases between 2008 and 2018 were extracted from the cause of death statistics provided by Statistics Korea. The age-standardized amenable mortality rates were estimated to compare the health status of 229 regions. YLL per capita was calculated to compute the burden of diseases caused by treatable deaths by region. The YLL per capita by region was calculated to identify the burden of disease caused by amenable deaths. Results: First, while the annual amenable mortality rate in Korea is on a steady decline, but there is still a considerable gap between urban and rural areas when comparing the mortality rates of 229 areas. Second, YLL per capita due to the amenable deaths is approximately 14 person-years during the analysis period (2008–2018). Conclusion Although the health status of Koreans has continuously improved, there is still a gap in health status region by region in terms of amenable mortality rates. Amenable death accounts for a loss of life equivalent to 14 person-years per year. Since the amenable mortality rate is an indicator that can measure the performance of the health care system, efforts at each local area are required to lower it.

Background: This study aims to figure out the gaps in health status by estimating amenable mortality rate by region, reflecting the characteristics of Korea, and estimating the years of life lost (YLL) per capita by disease. Methods: People who died from amenable diseases between 2008 and 2018 were extracted from the cause of death statistics provided by Statistics Korea. The age-standardized amenable mortality rates were estimated to compare the health status of 229 regions. YLL per capita was calculated to compute the burden of diseases caused by treatable deaths by region. The YLL per capita by region was calculated to identify the burden of disease caused by amenable deaths. Results: First, while the annual amenable mortality rate in Korea is on a steady decline, but there is still a considerable gap between urban and rural areas when comparing the mortality rates of 229 areas. Second, YLL per capita due to the amenable deaths is approximately 14 person-years during the analysis period (2008–2018). Conclusion Although the health status of Koreans has continuously improved, there is still a gap in health status region by region in terms of amenable mortality rates. Amenable death accounts for a loss of life equivalent to 14 person-years per year. Since the amenable mortality rate is an indicator that can measure the performance of the health care system, efforts at each local area are required to lower it.

This paper aims to demonstrate current health expenditure (CHE) and National Health Accounts of the years 2018 constructed according to the SHA2011, which is a manual for System of Health Accounts (SHA) that was published jointly by the Organization for Economic Cooperation and Development (OECD), Eurostat, and World Health Organization in 2011. Comparison is made with international trends by collecting and analyzing health accounts of OECD member countries. Particularly, scale and trends of the total CHE financing as well as public-private mix are parsed in depth. In the case of private financing, estimation of total expenditures for (revenues by) provider groups (HP) is made from both survey on the benefit coverage rate of National Health Insurance (by National Health Insurance Service) and Economic Census and Service Industry Census (by National Statistical Office); and other pieces of information from Korean Health Panel Study, etc. are supplementarily used to allocate those totals into functional classifications. CHE was 144.4 trillion won in 2018, which accounts for 8.1% of Korea's gross domestic product (GDP). It was a big increase of 12.8 trillion won, or 9.7%, from the previous year. GDP share of Korean CHE has already been close to the average of OECD member countries. Government and compulsory schemes' share (or public share), 59.8% of the CHE in 2018, is much lower than the OECD average of 73.6%. ‘Transfers from government domestic revenue’ share of total revenue of health financing was 16.9% in Korea, lower than the other social insurance countries. When it comes to ‘compulsory contributory health financing schemes,’ ‘transfers from government domestic revenue’ share of 13.5% was again much lower compared to Japan (43.0%) and Belgium (30.1%) with social insurance scheme.
Belgium ; Censuses ; Classification ; Gross Domestic Product ; Guanosine Diphosphate ; Health Expenditures ; Healthcare Financing ; Japan ; Korea ; National Health Programs ; Organisation for Economic Co-Operation and Development ; Social Security ; World Health Organization

Background: Based on the importance of ceasing smoking programs to control the regional disparity of smoking behavior in Korea, this study aims to reveal the variation of smoke rate and determinants of it for 229 provinces. An evaluation of the relative efficiency of the cease smoking program under the consideration of regional characteristics was followed. Methods: The main sources of data are the Korean Statistical Information Service and a national survey on the expenditure of public health centers. Multivariate regression is performed to figure the determinants of regional variation of smoking rate. Based on the result of the regression model, clustering analysis was conducted to group 229 regions by their characteristics. Three clusters were generated. Using data envelopment analysis (DEA), relative efficiency scores are calculated. Results from the pooled model which put 229 provinces in one model to score relative efficiency were compared with the cluster-separated model of each cluster. Results: First, the maximum variation of the smoking rate was 16.9%p. Second, sex ration, the proportion of the elder, and high risk drinking alcohol behavior have a significant role in the regional variation of smoking. Third, the population and proportion of the elder are the main variables for clustering. Fourth, dissimilarity on the results of relative efficiency was found between the pooled model and cluster-separated model, especially for cluster 2. Conclusion This study figured regional variation of smoking rate and its determinants on the regional level. Unconformity of the DEA results between different models implies the issues on regional features when the regional evaluation performed especially on the programs of public health centers.

This paper aims to introduce Korea’s total current health expenditure (CHE) and National Health Accounts of the year 2021 and their 2022 preliminary figures constructed on the basis of the System of Health Accounts 2011. As CHE includes expenditures for prevention, tracking, and treatment of coronavirus disease 2019 (COVID-19) and compensation for losses to medical institutions from 2020, the details are also introduced. Korea’s total CHE in 2021 is 193.3 trillion won, which is 9.3% of gross domestic product (GDP). The preliminary figure in 2022, 209.0 trillion won, exceeded the 200 trillion won line for the first time, and its “ratio to GDP” of 9.7% is expected to exceed the average of Organisation for Economic Co-Operation and Development member countries for the first time. Korea’s health expenditures, which were well controlled until the end of the 20th century, have increased at an alarming rate since the beginning of the 21st century, threatening the sustainability of national health insurance. The increase in health expenditure after 2020 is partly due to a temporary increase in response to COVID-19. However, when considering the structure of Korea’s health insurance price hike, where the ratchet effect of increased medical expenses works particularly strongly, it is unlikely that the accelerating growth trend that has lasted for more than 20 years will stop easily. More aggressive policies to control medical expenses are required in the national health insurance which not only constitutes the main financing sources of the Korean health system but also has the most powerful policy means in effect for changes in the health care provision.