Improvement for the Catastrophic Health Expenditure Support Program / 보건행정학회지

Background@#To improve the support low-income individuals’ medical expenses, it is necessary to think about ways to enhance the Catastrophic Health Expenditure Support Program. This study proposes expanding support criteria and changing the income standard. @*Methods@#This study conducted simulations using national data from the National Health Insurance Service. Simulations performed for people who have used health services (n=172,764) in 2022 to confirm the Catastrophic Health Expenditure Support Program’s size based on changes to the subject selection criteria. @*Results@#As a result of the simulation with expanded criteria, the expected budget was estimated to increase between Korean won (KRW) 13.2 (11.5%) and 138.6 billion (37.4%), and the number of recipients increased between 41,979 (48.9%) and 150,317 (76.1%).The results of the simulation for the change in income criteria (applied to health insurance levels below the 50th percentile) estimated the expected budget to increase between KRW -8.9 (-7.8%) and 55.6 billion (15.0%) and the number of recipients to increase between -8,704 (-10.1%) and 41,693 (21.1%) compared to the current standard. @*Conclusion@#The 2023 Catastrophic Health Expenditure Support Program’s criteria were expanded as per the 20th Presidential Office’s national agenda to alleviate the burden of medical expenses on the low-income class. In addition, The Catastrophic Health Expenditure Support Program needs to be integrated with other medical expense support policies in the mid- to long-term, and a foundation must be prepared to ensure the consistency of each system.

Association of Metabolic Syndrome with COVID-19 in the Republic of Korea

Background@#Metabolic syndrome (MetS) is reportedly a crucial risk factor for coronavirus disease 2019 (COVID-19). Since the epidemiological studies that examine this association are few and include small samples, we investigated the relationship between MetS and COVID-19 severity and death using a larger sample in the Republic of Korea. @*Methods@#We analyzed 66,321 patients, 4,066 of whom had COVID-19. We used chi-square tests to examine patients’ characteristics. We performed logistic regression analysis to analyze differences in COVID-19 infection and clinical outcomes according to the presence of MetS. @*Results@#Although MetS was not significantly associated with COVID-19 risk, acquiring MetS was significantly associated with the risk of severe COVID-19 outcomes (odds ratio [OR], 1.97; 95% confidence interval [CI], 1.34 to 2.91; P=0.001). The mortality risk was significantly higher in COVID-19 patients with MetS (OR, 1.74; 95% CI, 1.17 to 2.59; P=0.006). Patients with abnormal waist circumference were approximately 2.07 times more likely to develop severe COVID-19 (P<0.001), and high-density lipoprotein cholesterol (HDL-C) levels were significantly associated with COVID-19; the mortality risk due to COVID-19 was 1.74 times higher in men with an HDL-C level of <40 mg/dL and in women with an HDL-C level of <50 mg/dL (P=0.012). @*Conclusion@#COVID-19 is likely associated with severity and death in patients with MetS or in patients with MetS risk factors. Therefore, patients with MetS or those with abnormal waist circumference and HDL-C levels need to be treated with caution.

A National Study of Life-Sustaining Treatments in South Korea: What Factors Affect Decision-Making? / Journal of the Korean Cancer Association, 대한암학회지

Purpose@#This cross-sectional study investigated the status of life-sustaining treatment (LST) practices and identified characteristics and factors influencing decision-making practices. @*Materials and Methods@#The National Agency for Management of Life-sustaining Treatment retains records provided by doctors regarding patients subject to LST implementation. A total of 71,327 patients receiving LST were identified. We analyzed all nationally reported data between February 2018 and October 2019. Indicators such as the proportion of deaths, records for decision to terminate LST, implementation of LST records, and registration of Advance Statements on LST were analyzed. @*Results@#A total of 67,252 (94.3%) end-of life decisions were implemented in South Korea. The proportion of deaths preceded by a LST plan, non-self-determination LST decision, and any advance statements was 33.5% (23,891/71,327), 66.5% (47,436/71,327), and 1.2% (890/71,327), respectively. The logistic regression model revealed that self-determination to terminate LST was more frequent for men than for women and higher for those aged 30-69. Disability (odds ratio [OR], 0.59; 95% confidence interval [CI], 0.56 to 0.61), living in non-metropolitan areas (OR, 0.84; 95% CI, 0.81 to 0.86), and disease comorbidity was independently associated with a low level of self-determination. @*Conclusion@#After the implementation of the new LST Act, about a third of patients in end-of-life process made decisions regarding their medical LST. However, family members still play a major role in LST decisions where the patient’s intention cannot be verified. Decisions related to LST are predominantly made when death is imminent. Thus, it is necessary to increase awareness of end-of-life LST decision-making among medical staff and the public.

Risk Factors of Outcomes of COVID-19 Patients in Korea: Focus on Early Symptoms

Background@#Coronavirus disease 2019 (COVID-19) has spread around the globe, and it is important to determine the risk factors of death in the general population. Our study aimed to determine the risk factors of death and severe illness requiring supplemental oxygen therapy based on the demographic and clinical characteristics of COVID-19 patients in Korea. @*Methods@#In this study, we used data provided by the Korea Disease Control and Prevention Agency (KDCA) and analyzed a total of 5,068 patients with COVID-19, excluding 19 pregnant women and 544 individuals with missing data. We performed logistic regression analysis to determine the impact of early symptoms on survival and severe disease. Logistic regression models included sex, age, number of comorbidities, symptoms on admission, blood pressure, heart rate, and body temperature as explanatory variables, and death and oxygen therapy as outcome variables. @*Results@#Logistic regression analyses revealed that the male sex, older age (≥ 60 years), higher number of comorbidities, presence of symptoms on admission, heart rate ≥ 120 bpm, and body temperature ≥ 37.5°C presented with higher risk of in-hospital death and oxygen therapy requirement. Conversely, rhinorrhea and headache were associated with a low risk of death and oxygen therapy requirement. The findings showed that cough, sputum, and fever were the most common symptoms on admission, while 25.3% of patients with COVID-19 were asymptomatic. @*Conclusion@#COVID-19 patients with high-risk early symptoms on admission, such as dyspnea and altered mental status, and those without low-risk symptoms of rhinorrhea and headache should be included in priority treatment groups.

Characteristics in Pediatric Patients with Coronavirus Disease 2019 in Korea

Background@#Based on the reports of low prevalence and severity of pediatric severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, the Korean government has released new SARS-CoV-2 infection response and treatment guidelines for children under the age of 12 years. The government has further directed school reopening under strict preventive measures. However, there is still considerable concern on the impact of school reopening on community transmission of Coronavirus disease 2019 (COVID-19). In the present study, we aimed to evaluate the appropriateness of these directives and the severity of SARS-CoV-2 infections in children as compared to adults using sufficient national sample data. @*Methods@#In the present study, we evaluated the severity of SARS-CoV-2 infection in pediatric patients as compared to adults by analyzing the length of hospital stays (LOS), medical expenses, and hospital and intensive care unit (ICU) admission rates. A multivariate linear regression analysis was carried out to examine the effects of COVID-19 patients that the characteristics on the LOS and medical expenses, and multivariate logistic regression analysis were performed to identify COVID-19 characteristics that affect hospital and ICU admission rates and to prove the low SARS-CoV-2 infection severity in pediatric patients. @*Results@#The hospitalization period for children aged 0–9 was 37% shorter and that of patients aged 10–19 years was 31% shorter than those of older age groups (P < 0.001). The analysis of the medical expenses by age showed that on average, medical expenses for children were approximately 4,900 USD lower for children than for patients over 80 years of age. The linear regression analysis also showed that patients who were 0–9 years old spent 87% and those aged 10–19 118% less on medical expenses than those aged 70 and over, even after the correction of other variables (P < 0.001). The probability of hospitalization was the lowest at 10–19 years old (odds ratio [OR], 0.05; 95% confidence interval [CI], 0.03–0.09), and their ICU admission rate was also the lowest at 0.14 (OR, 0.14; 95% CI, 0.08–0.24). On the other hand, the likelihood of hospitalization and ICU admission was the highest in children aged 0–9 years, and among patients under the age of 50 years in general. @*Conclusion@#This study demonstrated the low severity of SARS-CoV-2 infection in younger patients (0–19 years) by analyzing the LOS, medical expenses, hospital, and intensive care unit admission rates as outcome variables. As the possibility to develop severe infection of coronavirus at the age of 10–19 was the lowest, a mitigation policy is also required for middle and high school students. In addition, children with underlying diseases need to be protected from high-risk infection environments.

A National Study of Life-Sustaining Treatments in South Korea: What Factors Affect Decision-Making? / Journal of the Korean Cancer Association, 대한암학회지

Purpose@#This cross-sectional study investigated the status of life-sustaining treatment (LST) practices and identified characteristics and factors influencing decision-making practices. @*Materials and Methods@#The National Agency for Management of Life-sustaining Treatment retains records provided by doctors regarding patients subject to LST implementation. A total of 71,327 patients receiving LST were identified. We analyzed all nationally reported data between February 2018 and October 2019. Indicators such as the proportion of deaths, records for decision to terminate LST, implementation of LST records, and registration of Advance Statements on LST were analyzed. @*Results@#A total of 67,252 (94.3%) end-of life decisions were implemented in South Korea. The proportion of deaths preceded by a LST plan, non-self-determination LST decision, and any advance statements was 33.5% (23,891/71,327), 66.5% (47,436/71,327), and 1.2% (890/71,327), respectively. The logistic regression model revealed that self-determination to terminate LST was more frequent for men than for women and higher for those aged 30-69. Disability (odds ratio [OR], 0.59; 95% confidence interval [CI], 0.56 to 0.61), living in non-metropolitan areas (OR, 0.84; 95% CI, 0.81 to 0.86), and disease comorbidity was independently associated with a low level of self-determination. @*Conclusion@#After the implementation of the new LST Act, about a third of patients in end-of-life process made decisions regarding their medical LST. However, family members still play a major role in LST decisions where the patient’s intention cannot be verified. Decisions related to LST are predominantly made when death is imminent. Thus, it is necessary to increase awareness of end-of-life LST decision-making among medical staff and the public.

Risk Factors of Outcomes of COVID-19 Patients in Korea: Focus on Early Symptoms

Background@#Coronavirus disease 2019 (COVID-19) has spread around the globe, and it is important to determine the risk factors of death in the general population. Our study aimed to determine the risk factors of death and severe illness requiring supplemental oxygen therapy based on the demographic and clinical characteristics of COVID-19 patients in Korea. @*Methods@#In this study, we used data provided by the Korea Disease Control and Prevention Agency (KDCA) and analyzed a total of 5,068 patients with COVID-19, excluding 19 pregnant women and 544 individuals with missing data. We performed logistic regression analysis to determine the impact of early symptoms on survival and severe disease. Logistic regression models included sex, age, number of comorbidities, symptoms on admission, blood pressure, heart rate, and body temperature as explanatory variables, and death and oxygen therapy as outcome variables. @*Results@#Logistic regression analyses revealed that the male sex, older age (≥ 60 years), higher number of comorbidities, presence of symptoms on admission, heart rate ≥ 120 bpm, and body temperature ≥ 37.5°C presented with higher risk of in-hospital death and oxygen therapy requirement. Conversely, rhinorrhea and headache were associated with a low risk of death and oxygen therapy requirement. The findings showed that cough, sputum, and fever were the most common symptoms on admission, while 25.3% of patients with COVID-19 were asymptomatic. @*Conclusion@#COVID-19 patients with high-risk early symptoms on admission, such as dyspnea and altered mental status, and those without low-risk symptoms of rhinorrhea and headache should be included in priority treatment groups.

Characteristics in Pediatric Patients with Coronavirus Disease 2019 in Korea

Background@#Based on the reports of low prevalence and severity of pediatric severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections, the Korean government has released new SARS-CoV-2 infection response and treatment guidelines for children under the age of 12 years. The government has further directed school reopening under strict preventive measures. However, there is still considerable concern on the impact of school reopening on community transmission of Coronavirus disease 2019 (COVID-19). In the present study, we aimed to evaluate the appropriateness of these directives and the severity of SARS-CoV-2 infections in children as compared to adults using sufficient national sample data. @*Methods@#In the present study, we evaluated the severity of SARS-CoV-2 infection in pediatric patients as compared to adults by analyzing the length of hospital stays (LOS), medical expenses, and hospital and intensive care unit (ICU) admission rates. A multivariate linear regression analysis was carried out to examine the effects of COVID-19 patients that the characteristics on the LOS and medical expenses, and multivariate logistic regression analysis were performed to identify COVID-19 characteristics that affect hospital and ICU admission rates and to prove the low SARS-CoV-2 infection severity in pediatric patients. @*Results@#The hospitalization period for children aged 0–9 was 37% shorter and that of patients aged 10–19 years was 31% shorter than those of older age groups (P < 0.001). The analysis of the medical expenses by age showed that on average, medical expenses for children were approximately 4,900 USD lower for children than for patients over 80 years of age. The linear regression analysis also showed that patients who were 0–9 years old spent 87% and those aged 10–19 118% less on medical expenses than those aged 70 and over, even after the correction of other variables (P < 0.001). The probability of hospitalization was the lowest at 10–19 years old (odds ratio [OR], 0.05; 95% confidence interval [CI], 0.03–0.09), and their ICU admission rate was also the lowest at 0.14 (OR, 0.14; 95% CI, 0.08–0.24). On the other hand, the likelihood of hospitalization and ICU admission was the highest in children aged 0–9 years, and among patients under the age of 50 years in general. @*Conclusion@#This study demonstrated the low severity of SARS-CoV-2 infection in younger patients (0–19 years) by analyzing the LOS, medical expenses, hospital, and intensive care unit admission rates as outcome variables. As the possibility to develop severe infection of coronavirus at the age of 10–19 was the lowest, a mitigation policy is also required for middle and high school students. In addition, children with underlying diseases need to be protected from high-risk infection environments.

Influencing Factors of Transportation Costs Regarding Healthcare Service Utilization in Korea

Background@#Transportation costs can be a barrier to healthcare services, especially for low-income, disabled, elderly, and geographically isolated populations. This study aimed to estimate the transportation costs of healthcare service utilization and related influencing factors in Korea in 2016. @*Methods@#Transportation costs were calculated using data from the 2016 Korea Health Panel Study. A total of 14,845 participants were included (males, 45.07%; females, 54.93%), among which 2,148 participants used inpatient and 14,787 used outpatient care services.Transportation costs were estimated by healthcare types, transportation modes, and all disease and injury groups that caused healthcare service utilization. The influencing factors of higher transportation costs were analyzed using multivariable regression analysis. @*Results@#In 2016, the average transportation costs were United States dollars (USD) 43.70 (purchasing power parity [PPP], USD 32.35) per year and USD 27.67 (PPP, USD 20.48) per visit for inpatient care; for outpatient case, costs were USD 41.43 (PPP, USD 30.67) per year and USD 2.09 (PPP, USD 1.55) per visit. Among disease and injury groups, those with neoplasms incurred the highest transportation costs of USD 9.73 (PPP, USD 7.20). Both inpatient and outpatient annual transportation costs were higher among severely disabled individuals (inpatient, +USD 44.71; outpatient, +USD 23.73) and rural residents (inpatient, +USD 20.40; outpatient, +USD 28.66). Transportation costs per healthcare visit were influenced by healthcare coverage and residential area. Sex, age, and income were influencing factors of higher transportation costs for outpatient care. @*Conclusion@#Transportation cost burden was especially high among those with major noncommunicable diseases (e.g., cancer) or living in rural areas, as well as elderly, severely disabled, and low-income populations. Thus, there is a need to address the socioeconomic disparities related to healthcare transportation costs in Korea by implementing targeted interventions in populations with restricted access to healthcare.