The Yoon Suk Yeol administration is promoting the “Global Leap of the Biohealth Industry” as one of its 120 key national policies.Recently, the administration has been showing its commitment by establishing various strategies and presenting blueprints for policy implementation. However, the results felt on the ground are still not sufficient. The biohealth industry is a difficult field to generate policy effects because the related regulations are intricately intertwined and the diverse administrative tasks are scattered in various government departments, where inter-departmental interests differ. To solve this problem, an innovative governance system should be established. In order for the government’s recent approach to establish a government-wide control tower to be effective, it should demonstrate a proactive policy commitment and be given practical power to coordinate the interests between departments.

Background: The purpose of this study is to promote their health by identifying factors that affect the depressive mood experience among local residents in Gangseo-gu, Seoul. Methods: This study is a cross-sectional study analyzed using data from the 2022 Community Health Survey, which is conducted annually in Korea. The subjects of the study were 916 local residents in Gangseo-gu, Seoul. Results: Through this study, the groups with a high level of depressive mood experience among local residents of Gangseo-gu were female, those with low income, those with chronic diseases, those with low subjective health level, and those who perceived their stress to be high. Conclusion It is necessary for local medical institutions to identify those with low income in blind spots and connect them with community resources to provide necessary economic support. Additionally, regular and systematic management is needed to help local residents prevent and manage chronic diseases. There is a need to actively support local residents by providing stress management programs and various health-related education to local residents so that they can maintain and improve their health and lead healthy lives.

This study aims to propose the implementation of innovative payment models in Korea in order to promote the financial sustainability of the national health insurance system by reviewing the current status of the payment system in Korea and examining other countries’ experiences with various innovative payment models. Korea primarily uses a fee-for-service payment system and additionally uses various payment systems such as case payment, per diem, and pay-for-performance. However, each payment system has its limitations. Many OECD (Organization for Economic Cooperation and Development) countries have pointed out the limitations of existing payment systems and have been attempting various innovative payment models (e.g., add-on payment, bundled payment, and population-based payment). Therefore, it is essential for Korea to consider innovative payment models, such as a mixed payment model that takes into account the strengths and weaknesses of each payment system, and to design and pilot these models.This process requires stakeholders to work together to build a social consensus on the implementation of innovative payment systems and to refine legal and systematic aspects, develop an integrated health information system, and establish dedicated organizations and committees. These efforts towards innovative payment models will contribute to developing a sustainable health insurance system that ensures the public’s health and well-being in Korea.

Background: The purpose of this study is to analyze the factors affecting the unmet healthcare needs of older people with chronic diseases in Korea and provide a basic research report to strengthen their access to medical care. Methods: In the 2020 older people survey data, 8,182 older people aged 65 or older who were diagnosed with one or more chronic diseases were the final subjects of the study. According to Andersen’s behavioral model used in unmet healthcare needs, independent variables were composed of predisposing factors, possible factors, and necessary factors, and whether or not unmet healthcare needs was set as dependent variable. Results: Of the older people with chronic diseases, 1.6% experienced unmet healthcare needs, of which 55.9% experienced unmet healthcare needs for reasons related to economic burden, 31.6% physical constraints, and 12.5% time constraints. As a result of the analysis, older people with chronic diseases were more likely to experience unmet healthcare needs if they were relatively low in age, low in education level, no spouse, low in household income, poor subjective health, complex chronic diseases, and functional restrictions. However, by major reasons for experiencing unmet healthcare needs, living in rural areas were more likely to experience unmet healthcare needs due to physical constraints, and those who participated in economic activities and who had were more likely to experience unmet healthcare needs due to time burden. These results were not derived when only unmet healthcare needs was set as the dependent variable. Conclusion This study emphasizes the need for an approach by cause of unmet medical occurrence by suggesting that there are differences in influencing factors by reason for experiencing unmet healthcare needs.

Background: The coronavirus disease 2019 (COVID-19) pandemic has led to socio-economic issues, highlighting the importance of strengthening health systems for future infectious diseases. This study aims to analyze the relationship between health system preparedness, response levels, and COVID-19 fatality rates across 194 countries. Methods: This study examined various indicators of national health system preparedness and response, including health service delivery, health workforce, health information systems, essential medicines and health products, health financing, and leadership and governance. Results: A correlation was found between the health system and the COVID-19 case fatality rate (CFR). Further examination of specific indicators within health service delivery, health workforce, health information systems, health financing, and leadership/governance showed significant correlations with the CFR. Multiple regression analysis, considering aging and urbanization rates, identified reproductive/maternalewborn and child health, infectious diseases, nursing and midwifery personnel density, birth registration coverage, and out-of-pocket health expenditure as significant factors affecting the CFR. Conclusion Countries with strong health system indicators experience lower case fatality rate from COVID-19. Strengthening access to essential health services, increasing healthcare personnel and resources, ensuring reliable health information, and bolstering overall health systems are crucial for preparedness against future infectious diseases.

Background: By applying the suggested criteria for needs-based chronic medical care and long-term care delivery system for the elderly, the current status of delivery system was identified and regional delivery systems were categorized according to quantity and quality of delivery system. Methods: National claims data were used for this study. All claims data of medical and long-term care uses by the elderly and all claims data from long-term care hospitals and nursing homes in 2016 were analyzed to categorize the regional medical and long-term care delivery system. The current status of the delivery system with a high possibility of transition to a needs-based appropriate delivery system was identified. The necessary and actual amount of regional supply was calculated based on their needs, and the structure of delivery systems was evaluated in terms of the needs-based quality of the system. Finally, all regions were categorized into 15 types of medical and care delivery systems for the elderly. Results: Of the total 55 regions, 89.1% of regions had an oversupply of elderly medical and care services compared to the necessary supply based on their needs. However, 69.1% of regions met the criteria for less than two types of needs groups, and 21.8% of regions were identified as regions where the numbers of institutions or regions with a high possibility of transition to an appropriate delivery system were below the average levels for all four needs groups. Conclusion In order to establish an appropriate community-based integrated elderly care system, it is necessary to analyze the characteristics of the regional delivery system categories and to plan a needs-based delivery system regionally.

Background: As the government has recently been discussing the expansion of the disaster health expenses support project, we would like to confirm the characteristics of beneficiaries of the support project, particularly those of high-cost beneficiaries. Methods: Using the database of catastrophic health expenditure support project from 2019–2020, this study aims to confirm the characteristics of high-cost beneficiaries focusing on the overlap of the relieved out-of-pocket systems, known as the out-of-pocket ceiling system and the system for rare incurable diseases. Logistic regression analysis is used to examine this issue. Results: In order to analyze the factors influencing high-cost beneficiaries, five models were created and analyzed, including the status of duplicated beneficiaries for relieved out-of-pocket systems, sociodemographic and economic factors, and individual health status as sequential independent variables. All five models were statistically significant, of which economic factors had the greatest impact on the model’s predictions. The main results indicated that those who benefited from multiple systems in duplicate were more likely to be high-cost beneficiaries, and there is a higher probability of incurring high health expenses among the underage. In addition, within the beneficiaries of catastrophic health expenditure support project, it was observed that higher health insurance premium percentiles are associated with a higher proportion of high-cost beneficiaries. Conclusion This study examined the characteristics of high-cost beneficiaries by encompassing reimbursement and nonreimbursement. According to this study, it is expected to be used as basic data for setting priorities and improving the current criteria of catastrophic health expenditure support project, aiming to sequentially expand the program.

Background: This study aims to contribute to the adjustment of the appropriate doctor manpower by analyzing the distribution, supply and demand, and estimation of the doctor manpower. Methods: This study utilized the medical personnel data of the Ministry of Health and Welfare, population trend data of the National Statistical Office, and health insurance benefit performance data of the National Health Insurance Service. Based on 2021, we compared the number of doctors in actual supply and the number of doctors in demand according to the amount of medical use by gender and age for 250 regions. Logistic regression analysis and scenario analysis were performed to estimate the future medical workforce by considering the demand for doctors according to the future demographic structure, the size of the quota in medical schools, and the retirement rate. Results: There were 186 regions in which the supply of doctors was below average, and the average ratio of the number of doctors in supply to demand in the region was 62.1%. Conclusion In order to increase the number of active doctors nationwide to at least 80%, 7,756 people must be allocated. The number of doctors in demand is estimated to decrease after increasing to 1.492 times in 2059. The future projected number of doctors is expected to increase to 1.349 times in 2050 and then decrease taking into account the doctor quota and the retirement rate.

Background: The purpose of this study was to analyze the demand and supply status of patient beds by type of medical institution, categorized into 70 clinical privilege, in order to understand the regional bed supply situation. Methods: Utilizing the 70 clinical privilege defined by the Ministry of Health and Welfare, we calculated bed demand and supply quantities from 2019 to 2021 using data from Statistics Korea and the Health Insurance Statistical Yearbook. The bed demand calculation formula was based on the detailed guidelines for the medical sector by the Korea Development Institute and the 3rd edition of bed supply basic policies announced by the Ministry of Health and Welfare. Additionally, to mitigate distorted bed supply situations caused by factors such as regional levels and patient outflows, we classified bed supply types using the population decrease index indicator published by the Ministry of Public Administration and Security. Results: Among the 70 clinical privilege, it was analyzed that a relatively balanced bed supply situation exists overall, irrespective of the type of healthcare institution. However, in medical institutions at or above the level of hospitals, regions with bed supply ratios exceeding 20% compared to demand, particularly in institutions at or above the level of general hospitals, showed a relatively high rate of demand diversion. Conclusion We have identified the bed supply types in the 70 clinical privilege in South Korea. Based on the results of this study, we emphasize the need for bed supply policies that consider regional characteristics. It is expected that this research can serve as fundamental data for future efforts aimed at managing or rectifying bed supply imbalances on a regional basis.

Background: This study aimed to analyze the prehospital process and reperfusion therapy process of acute ischemic stroke in Busan metropolitan area and examine the impact of living arrangement on the early management and functional outcomes of acute ischemic stroke (AIS). Methods: The patients who diagnosed with AIS and received reperfusion therapy at the Busan Regional Cardiovascular Center between September 2020 and May 2023 were selected. We investigated the patients’ hospital arrival time (onset to door time) and utilization of 119 emergency ambulance services. Additionally, various time matrices related to reperfusion therapy after hospital were examined, along with the functional outcome at the 90-day after treatment. Results: Among the 753 AIS patients who underwent reperfusion therapy, 166 individuals (22.1%) were living alone. AIS patients living alone experienced significant delays in symptom detection (p<0.05) and hospital arrival compared to AIS patients with cohabitants (370.1 minutes vs. 210.2 minutes, p<0.001). There were no significant differences between the two groups in terms of 119 ambulance utilization and time metrics related with the reperfusion therapy. Independent predictors of prognosis in AIS patients were found to be age above 70, National Institutes of Health Stroke Scale score at admission, tissue plasminogen activator, living alone (odds ratio [OR], 1.785; 95% confidence interval [CI], 1.155–2.760) and interhospital transfer (OR, 1.898; 95% CI, 1.152–3.127). Delay in identification of AIS was shown significant correlation (OR, 2.440; 95% CI, 1.070–5.561) at living alone patients. Conclusion This study revealed that AIS patients living alone in the Busan metropolitan region, requiring endovascular treatment, face challenges in the pre-hospital phase, which significantly impact their prognosis.