With the inauguration of a new government, expectations for policy changes are also rising. In the hope that this will serve as an opportunity to improve health care policy, I would like to outline the principles strategies. First, considering the growing socioeconomic impact of the health care sector, the government's policy priorities should be notably increased compared to the past. Second, policy improvement measures based on evidence should be sought instead of dwelling on presidential pledges. While easing regulations, we should improve the quality of regulatory approaches. Therefore, it is a time when efforts are needed to strengthen the stability of policies in response to economic crises.

The costliness index (CI) is an index that is used in various ways to improve the quality of medical care and the management of appropriate treatment in medical institutions. However, the current calculation method for CI has a limitation in reflecting the actual medical cost of the patient unit because the outpatient and inpatient costs are evaluated separately. It is desirable to calculate the CI by integrating the medical cost into the episode unit. We developed an episode-based CI method using the episode classification system of the Centers for Medicare and Medicaid Services to the National Inpatient Sample data in Korea, which can integrate the admission and ambulatory care cost to episode unit. Additionally, we compared our new method with the previous method. In some episodes, the correlation between previous and episode-based CI was low, and the proportion of outpatient treatment costs in total cost and readmission rates are high. As a result of regression analysis, it is possible that the level of total medical costs of the patient unit in low volume medical institute and rural area has been underestimated. High proportion of outpatient treatment cost in total medical cost means that some medical institutions may have provided medical services in the ambulatory care that are ancillary to inpatient treatment. In addition, a high readmission rate indicates insufficient treatment service for inpatients, which means that previous CI may not accurately reflect actual patient-based treatment costs. Therefore, an integrated patient-unit classification system which can be used as a more effective CI indicator is needed.

In the process of promoting policies to strengthen health insurance coverage, the relationship between public health insurance and private health insurance, along with the management of non-benefit, is also emphasized as a policy issue. First, the concept and scope of non-benefit were comparatively analyzed by country. Second, the interaction between the public and private health insurance was classified as 'large or small,' and the government's regulation and management policy on private health insurance was classified as 'strong or weak.' Korea has relatively smaller benefits covered by public health insurance, higher copayment expenses, and more areas and scope of non-benefits. In countries where the interaction between public and private health insurance is small, private health insurance-related policies are weak. And in countries with large interactions had public-private partnerships and the government's management policies were also strong. On the other hand, Korea has a large interaction, but the actual structure of cooperation between public and private insurance and management policies were weak. Because the non-benefit sector in Korea is relatively wide, it is difficult to manage compared to other countries where the concept of non-benefit is limited. In addition, the health authorities rarely perform the role of supervision over private health insurance, and they have so few linkages and cooperation for public-private insurance. Therefore, practical policy enforcement is necessary to achieve the easing of the burden of national medical expenses through linkage and cooperation of public-private health insurance with reference to relevant other countries' cases.

Background: The costliness index (CI) is an index that is used in various ways to improve the quality of medical care and the management of appropriate treatment in medical institutions. However, the current calculation method for CI has a limitation in reflecting the actual medical cost of the patient unit because the outpatient and inpatient costs are evaluated separately. It is desirable to calculate the CI by integrating the medical cost into the episode unit.
Methods: We developed an episode-based CI method using the episode classification system of the Centers for Medicare and Medicaid Services to the National Inpatient Sample data in Korea, which can integrate the admission and ambulatory care cost to episode unit. Additionally, we compared our new method with the previous method.
Results: In some episodes, the correlation between previous and episode-based CI was low, and the proportion of outpatient treatment costs in total cost and readmission rates are high. As a result of regression analysis, it is possible that the level of total medical costs of the patient unit in low volume medical institute and rural area has been underestimated.
Conclusion: High proportion of outpatient treatment cost in total medical cost means that some medical institutions may have provided medical services in the ambulatory care that are ancillary to inpatient treatment. In addition, a high readmission rate indicates insufficient treatment service for inpatients, which means that previous CI may not accurately reflect actual patient-based treatment costs. Therefore, an integrated patient-unit classification system which can be used as a more effective CI indicator is needed.

Background: The purpose of this study was to the impact of the coronavirus disease 2019 (COVID-19) outbreak on emergency departments (EDs) in patients under the age of 18 years with respiratory disease. Also, we analyzed similarities and differences in patients including revisit before and after the COVID-19 outbreak.
Methods: This study population was respiratory patients under the age of 18 years who visited all 403 EDs in Korea between January 1st, 2019 and December 31st, 2020, using the National Emergency Department Information System Database. The primary outcome was the number of respiratory patients according to age, sex, the type of EDs, season, Korean Triage and Acuity Scale (KTAS) levels, the result of ED, and length of stay. The secondary outcome was the number of revisit respiratory patients within 72 hours. We calculated the risk-adjusted revisit rates according to the KTAS level using a multiple logistic regression model.
Results: The number of ED visits decreased from 274,526 in 2019 to 79,007 in 2020; this number was 71.2% lower than that before COVID-19. In spring 2020, this number was 90.1% lower than during the same period in 2019. For the revisit rate in the study population, the adjusted odds ratio (95% confidence interval) was 1.22 (1.05-1.41) in 2019 and 1.39 (1.07-1.81) in 2020.
Conclusion: Implementing appropriate emergency care policies in severe respiratory patients would have contributed to improving the safety of reducing in revisit rate.

Background: This study aimed to identify patterns of elderly patients who transferred from long-term care hospitals to emergency rooms and provide the evidence of emergency medical systems to prepare for a super-aged society.
Methods: The data source was the National Emergency Department Information System database from January 2014 to December 2019 in Korea. We performed a cross-sectional study among elderly patients (≥65 years) who transferred from a long-term care hospital to an emergency room. Trend analysis was conducted by year.
Results: We identified 225,765 elderly patients who were transferred from long-term care hospitals to emergency rooms between January 1, 2014 and December 31, 2019. The proportion of the study population and their mean age were recently increased (p<0.001, respectively). The proportion of elderly patients being re-transferred (p=0.049) and the patients re-transferred to long-term care hospitals is significantly increased (p=0.005).
Conclusion: The establishment of efficient emergency medical services for an aging society is important. It is necessary to develop a healthcare network with the government, long-term care hospitals, and medical institutions in the community suitable for preventing disease deterioration.

Background: Social support contributes directly and indirectly to maintaining physical, mental, and social well-being. The aim of the study was to identify the impact of social support on self-rated health among Korean industrial accident workers.
Methods: This study used data from the panel study of workers' compensation insurance (PSWCI). The final subjects were 2,759 workers who responded to a 2018 to 2020 PSWCI. Social support was defined as social contact with friends, neighbors, family, and social participation activities like religious activity, social activity, and club activity. Multivariate logistic regression analysis was performed to investigate causal relationships between social support and self-rated health using a generalized estimating equation model.
Results: Proportion of workers' good self-rated health steadily increased (2018: n=1,447, 63.2%; 2019: n=1,542, 66.2%; 2020: n=1,653, 67.3%). Higher levels of social contacts with friend (worse: reference; same: β=0.442) and higher levels of social activity (yes: reference; no: β=-0.173) were especially associated with good self-rated health.
Conclusion: This study confirmed social support positively influenced self-rated health among the self-rated health of industrial injured workers. The results of this study suggested that recovery policies that the government served should include programs enhancing social support for improving health among industrial injured workers.

Background: In Korea, the population is rapidly aging, and the types of households for the elderly are also diversifying. The self-rated health of the elderly is a valuable health indicator that can comprehensively represent the overall quality of life along with physical, mental, and functional health. On the other hand, studies on the association between household type and self-rated health of the elderly are still insufficient. Thus, this study analyzed the association between household type and self-rated health by gender in Korean older adults.
Methods: Using data from the analysis of the National Survey of Older Koreans 2017, 10,299 elderly people aged 65 and over were targeted. For the accuracy of the analysis data, 9,910 people were selected as the study sample by excluding proxy responses, those diagnosed with dementia, and non-response. And technical analysis, univariate analysis using the Rao-Scott chi-square test, and logical regression analysis involving survey characteristics were conducted by gender.
Results: According to the adjusted model with all variables, in both men and women, the odds ratio of self-rated health 'bad' in 'couple (with ill spouse)' was significantly higher than 'couple (with spouse)'. It was 2.54 (95% confidence interval [CI], 2.05-3.15) for men and 2.11 (95% CI, 1.70-2.62) for women. In addition, the odds ratio of self-rated health 'bad' in 'living with adult children' was 1.43 (95% CI, 1.09-1.87) for men and 1.42 (95% CI, 1.15-1.75) for women, which was more significant in women than men.
Conclusion: This study states that there is an association between gender, household type, and self-rated health of the elderly, and the health of a spouse and cohabitation with children have a significant effect on self-rated health. As a result, in order to improve the health status of the elderly, health promotion and health care policies involving the characteristics of the elderly's gender and household type are needed.

Background: The purpose of this study is to identify the factors infecting the medical care utilization from a new perspective by newly classifying the categories of administrative districts using the urban decline index and medical vulnerability index as indicators.
Methods: This study targeted 150,940 people who used medical services using the 2015 cohort database (DB), 2010-2015 urban regeneration analysis index DB, and 2014-2015 public health and medical statistics DB. The decline of the region was classified using the urban decline index typed using k-means clustering and the medical vulnerability index typed using the quantile score calculation. Regression analysis was performed 3 times with medical expenditure, length of stay, and the number of outpatient visits as dependent variables.
Results: There were 37 stable region (47.4%), 29 health vulnerable region (37.2%), and 12 decline region (15.4%). The health vulnerable region had lower medical expenditure, fewer outpatient visits, and a higher length of stay than the stable region. The decline region was all higher than the stable region but had no significant effect.
Conclusion: The factors that cause the health disparity between regions are not only factors related to individual health behavior but also environmental factors of the local community. Therefore, there is a need for a systematic alternative that properly considers the resources within the community and reflects the characteristics of the population.

Background: Food insecurity may contribute to mental health indicators such as stress, anxiety, or depression. We investigated whether food insecurity was associated with mental health indicators and health-related quality of life (HRQoL) in a representative sample of the Korean population.
Methods: This study enrolled 12,987 adults without a history of medically serious disease from the 2012, 2013, and 2015 Korea National Health and Nutrition Examination Survey. Household food security status was categorized as “food security,” “mild food insecurity,” and “moderate/severe food insecurity.” The association between mental health and HRQoL was evaluated using a multivariate logistic regression model with food security as the reference group.
Results: The adjusted odds ratio of adverse mental health or low HRQoL increased significantly in mild or moderate/severe food insecurity compared to food security. In the moderate/severe food insecurity group, it was 1.98% (95% confidence interval [CI], 1.31- 2.99) higher for perceived stress, 3.58% (95% CI, 2.44-5.26) higher for depression symptoms, 4.16% (95% CI, 2.68-6.45) higher for suicidal ideation, and 2.81% (95% CI, 1.91-4.15) higher for quality of life.
Conclusion: Food insecurity was strongly associated with negative mental health status and poor HRQoL. There is a need for a dietary support program that provides psychosocial support to those experiencing food insecurity.