Changes in Expenditures of the National Health Insurance of Korea during the COVID-19 Pandemic and the Financial Implications Thereof.

As the number of coronavirus disease 2019 (COVID-19) patients increased rapidly, the Korean government decided to pay most of the related medical expenses with finances from the National Health Insurance (NHI). We aimed to document changes in NHI medical expenses during the COVID-19 pandemic period. We also sought to compare how Japan and Taiwan, neighboring countries with NHI systems, responded to COVID-19 and to discuss policy implications.

Accurate Diagnosis of COVID-19 from Self-Collectable Biospecimens Using Synthetic Apolipoprotein H Peptide-Coated Nanoparticle Assay.

A high-throughput, accurate screening is crucial for the prevention and control of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Current methods, which involve sampling from the nasopharyngeal (NP) area by medical staffs, constitute a fundamental bottleneck in expanding the testing capacity. To meet the scales required for population-level surveillance, self-collectable specimens can be used; however, its low viral load has hindered its clinical adoption. Here, we describe a magnetic nanoparticle functionalized with synthetic apolipoprotein H (ApoH) peptides to capture, concentrate, and purify viruses. The ApoH assay demonstrates a viral enrichment efficiency of >90% for both SARS-CoV-2 and its variants, leading to an order of magnitude improvement in analytical sensitivity. For validation, we apply the assay to a total of 84 clinical specimens including nasal, oral, and mouth gargles obtained from COVID-19 patients. As a result, a 100% positivity rate is achieved from the patient-collected nasal and gargle samples, which exceeds that of the traditional NP swab method. The simple 12 min pre-enrichment assay enabling the use of self-collectable samples will be a practical solution to overcome the overwhelming diagnostic capacity. Furthermore, the methodology can easily be built on various clinical protocols, allowing its broad applicability to various disease diagnoses.

Family economic hardship and adolescent mental health during the COVID-19 pandemic

Objective This study examined whether pandemic related family economic hardships influenced adolescents' mental health during the COVID-19 pandemic in Korea. Methods Data were collected from 54,948 adolescents who participated in the 2020 Korea Youth Risk Behavior Web-Based Survey. We performed a multiple logistic regression analysis to examine the association between family economic hardship and mental health (anxiety, depressive symptoms, and suicidal ideation). Results Among the adolescents, 39.7, 24.7, and 5.9% reported slight, moderate, and severe economic hardship, respectively. COVID-19 related family economic hardship was significantly associated with higher odds of adolescents reporting anxiety, depressive symptoms, and suicidal ideation. This association was stronger among adolescents with low to middle family economic status. Conclusions This study suggests that adolescents from more economically vulnerable families are likely to be at a higher risk for long-term mental health effects due to the financial consequences of the COVID-19 pandemic.

Sleep and Mental Health Among Adolescents During the COVID-19 Pandemic.

OBJECTIVE: This study aimed to investigate the association of sleep with mental health among Korean adolescents during the coronavirus disease (COVID-19) pandemic. METHODS: Using data from the 16th Korea Youth Risk Behavior Web-Based Survey (2020) of 46,475 adolescents, we examined sleep duration and satisfaction and examined mental health for depressive symptoms, anxiety, and suicidal ideation. The data were analyzed using complex sample descriptive statistics and a multiple logistic regression model. RESULTS: In 2020, the average sleep duration was 6.3 hours, and the sleep satisfaction rate was 30.8%. Depressive symptom and suicidal ideation rates were 24.2 and 10.3, respectively. These values are slightly better than those previously reported, before COVID-19. However, poor sleep was still associated with mental health. The likelihood of mental health problems was higher among those who slept for six hours or less than for those who slept for eight hours or more (p<0.05). Additionally, the results showed that the lower the sleep satisfaction, the higher the likelihood of mental health problems (p<0.05). CONCLUSION: Even after the COVID-19 outbreak, poor sleep associated with mental health problems remained as high as before the outbreak of COVID-19.

Validity of OSCE Evaluation Using the FLEX Model of Blended Learning.

BACKGROUND: For OSCE (Objective Structured Clinical Examination) scoring, medical schools must bring together many clinical experts at the same place, which is very risky in the context of the coronavirus pandemic. However, if the FLEX model with the properties of self-directed learning and offline feedback is applied to OSCE, it is possible to provide a safe and effective evaluation environment for both universities and students through experts' evaluation of self-video clips of medical students. The present study investigated validity of the FLEX model to evaluate OSCE in a small group of medical students. METHODS: Sixteen 3rd grade medical students who failed on OSCE were required to take a make-up examination by videotaping the failed items and submitting them online. The scores between original examination and make-up examination were compared using Paired Wilcoxon Signed Rank Test, and a post-hoc questionnaire was conducted. RESULTS: The score for make-up examination was significantly higher than those for original examination. The significance was maintained even when the score was compared by individual domains of skills and proficiency. In terms of preference, students were largely in favor of self-videotaped examination primarily due to the availability of self-practice. CONCLUSION: The FLEX model can be effectively applied to medical education, especially for evaluation of OSCE.

Risk of Hypertension and Type 2 Diabetes in Relation to Changes in Alcohol Consumption: A Nationwide Cohort Study

Little is known about the risk of hypertension and type 2 diabetes in relation to changes in frequency and amount of alcohol consumption. This study investigated associations between changes in alcohol consumption and the risk of both conditions. This study included 96,129 individuals without hypertension and/or diabetes mellitus aged ≥ 20 years between 2006 and 2008, with follow-up until 31 December 2015. This study identified 29,043 and 18,784 incident cases of hypertension and type 2 diabetes, respectively, during an average follow-up period of 6.2 ± 2.6 and 6.9 ± 1.9 years. This study measured changes in frequency and amount of alcohol consumption using standardized self-administered questionnaires over approximately 2 years. Hazard ratio (HR) and 95% confidence interval (CI) were calculated for the respective risks of the two conditions. Repeated occasional or frequent binge drinking was associated with an increased risk of hypertension (HR: 1.16 or 1.32;95% CI: 1.11, 1.21 or 1.16, 1.51) and type 2 diabetes (HR: 1.14 or 1.36;95% CI: 1.09, 1.20 or 1.17, 1.58) compared with continuous nondrinking. Reductions as well as increases in frequency of alcohol consumption among binge drinkers were associated with higher hypertension (HR: 1.29 or 1.30;95% CI: 1.11, 1.49 or 1.13, 1.49) and type 2 diabetes (HR: 1.26 or 1.56;95% CI: 1.06, 1.49 or 1.34, 1.81) risk. This study demonstrated that repeated binge drinking, even with a reduction of weekly alcohol consumption frequency, was associated with a higher risk of hypertension and type 2 diabetes.

Delay in Vaccine Access in ASEAN Countries

Background: The introduction of new vaccines has been delayed in some countries in the Asia-Pacific region, which has led to delays in accessing vaccines for target patients. However, the approval lag of vaccines in the Asia-Pacific region has not been assessed. The objective of this study is to assess the availability and approval lag of vaccines in Asia-Pacific countries and compare them among Asia-Pacific countries, the United States (US), and Europe (EU). Methods: The information on vaccines prequalified by the World Health Organization (WHO) between 2010 and 2019 was obtained primarily from the WHO website. The date of approval of the WHO prequalified vaccine in Australia, India, South Korea, Thailand, Singapore, Malaysia, the US, and EU was retrieved from the official website of national regulatory agencies. The vaccines were divided into two groups based on their first approval pathway, that is, vaccines that were first approved by SRA (Stringent Regulatory Authority including the US, EU, and WHO) and those that were first approved by non-SRA. The absolute approval lag represented the availability of the vaccine. Relative approval lag represented the lag time between the approval date of the country of interest and the first global approval date and was measured as the median approval lag. A Mann–Whitney U test was used to examine statistical differences between relative approval lag between the SRA first and the non-SRA first groups. Results: A total of 92 vaccines were prequalified by the WHO between 2010 and 2019, but only 61 vaccines were included in the analysis. Over 50% of vaccines were first licensed by non-SRAs. Of all the WHO-prequalified vaccines, the median approval lag in the ASEAN countries in this study was longer than those in the US and EU, with a median of 30 months in Australia, 15 months in South Korea, 52 months in Thailand, and 23 months in Singapore, compared to 0 months in the US and EU. The differences in approval lags between SRA first vaccines and non-SRA first vaccines were statistically significant in South Korea and Thailand (p < 0.05). Conclusions: The approval lag of vaccines was observed in the Asia-Pacific region, indicating a gap between the Asia-pacific region and the US and EU in regard to access to new vaccines. Future studies need to analyze the background factors related to the gap in availability and vaccine approval lag in the Asia-Pacific region and assess the impact of vaccine approval lag in the region.

Income Disparities in Cancer Screening: A Cross-Sectional Study of the Korean National Health and Nutrition Examination Survey, 2013-2019.

Background: Cancer is one of the leading chronic diseases, which causes premature mortality in Korea. Early detection has been reported to be associated with reduced mortality and morbidity. Consistent evidence reports that lower screening rates are associated with socioeconomic-based disparities. This study aimed to examine income-related disparities in cancer screening services and to analyze the association between utilization of cancer screening and individual characteristics, including income levels. Methods: This study utilized the data from the Korea National Health and Nutrition Examination Survey (KNHANES), a population-based survey from 2013 to 2019. The study population included individuals aged 40 years or over. The variables were socioeconomic characteristics and perceived health status. Household income was categorized into quartiles from Q1 (the lowest income group) to Q4 (the highest income group). Multivariate logistic regression analysis was performed to analyze the association between cancer screening and individual characteristics and household income levels. Results: There were 20,347 individuals included in this study. Among these, 14,741 (72.4%) had undergone cancer screening. There existed a gap in the utilization of cancer screening between the lowest (Q1) and highest (Q4) income quintiles owing to evident income disparities; Q4 thus had a significantly higher likelihood of undergoing cancer screening than other quintiles. Female sex, university and over education, number of chronic diseases, and private insurance coverage were positively associated with cancer screening (p < 0.001). Conclusion: Our findings suggest that policymakers should develop and design strategies to increase awareness and efforts to improve the education and promotion of cancer screening among lower-income target groups.

Hepatokines and Non-Alcoholic Fatty Liver Disease: Linking Liver Pathophysiology to Metabolism.

The liver plays a key role in maintaining energy homeostasis by sensing and responding to changes in nutrient status under various metabolic conditions. Recently highlighted as a major endocrine organ, the contribution of the liver to systemic glucose and lipid metabolism is primarily attributed to signaling crosstalk between multiple organs via hepatic hormones, cytokines, and hepatokines. Hepatokines are hormone-like proteins secreted by hepatocytes, and a number of these have been associated with extra-hepatic metabolic regulation. Mounting evidence has revealed that the secretory profiles of hepatokines are significantly altered in non-alcoholic fatty liver disease (NAFLD), the most common hepatic manifestation, which frequently precedes other metabolic disorders, including insulin resistance and type 2 diabetes. Therefore, deciphering the mechanism of hepatokine-mediated inter-organ communication is essential for understanding the complex metabolic network between tissues, as well as for the identification of novel diagnostic and/or therapeutic targets in metabolic disease. In this review, we describe the hepatokine-driven inter-organ crosstalk in the context of liver pathophysiology, with a particular focus on NAFLD progression. Moreover, we summarize key hepatokines and their molecular mechanisms of metabolic control in non-hepatic tissues, discussing their potential as novel biomarkers and therapeutic targets in the treatment of metabolic diseases.

COVID-19 Case Surge and Telemedicine Utilization in a Tertiary Hospital in Korea.

Background:Faced with the coronavirus disease 2019 (COVID-19) pandemic, Korea has allowed telemedicine use for a limited time. This study examined whether the surge in COVID-19 cases led to increased telemedicine use and the associated factors.Methods:Data from the electronic medical records of 929,753 outpatient episodes between March 4 and September 4, 2020, in a tertiary hospital in Korea were used. A comparison group was chosen by matching, adjusting for age and sex because only a small portion (1.0%) of the sample used telemedicine. The final sample comprised 57,972 episodes. Multivariable logistic regression analyses were performed to examine the association of independent variables with the dichotomous dependent variable (i.e., telemedicine visit/in-person visit).Results:The surge in confirmed COVID-19 cases led to significantly increased telemedicine use (101-300 new cases odds ratio [OR]: 3.00; 301-500 new cases OR: 5.82; and ≥501 new cases OR: 42.18; all p < 0.0001). Telemedicine use was also statistically associated with sex (female patients OR: 2.08), age ˃19 years, distance from the hospital (Incheon, Gyeonggi, region, OR: 1.30; and other regions, OR: 4.33), and the number of days from diagnosis (3-6 months OR: 1.21; 6-12 months OR: 1.56; 12-36 months OR: 1.98; and ≥36 months OR: 2.49). Medical Aid patients (OR: 0.83) were less likely to use telemedicine than those with National Health Insurance.Conclusions:Telemedicine can be effective in delivering health services during an outbreak. Policymakers and health care organizations are encouraged to use the results of this study to tailor telemedicine to meet the needs of patients.

Risk of COVID-19 and major adverse clinical outcomes among people with disabilities in South Korea.

BACKGROUND: Evidence regarding the risk of coronavirus disease (COVID-19) and the major adverse clinical outcomes of COVID-19 among people with disabilities (PwDs) is scarce. OBJECTIVE: This study investigated the association of disability status with the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test positivity and the risk of major adverse clinical outcomes among participants who tested positive for SARS-CoV-2. METHODS: This study included all patients (n = 8070) who tested positive for SARS-CoV-2 and individuals without COVID-19 (n = 121,050) in South Korea from January 1 to May 30, 2020. The study variables included officially registered disability status from the government, SARS-CoV-2 test positivity, and major adverse clinical outcomes of COVID-19 (admission to the intensive care unit, invasive ventilation, or death). RESULTS: The study participants included 129,120 individuals (including 7261 PwDs), of whom 8070 (6.3%) tested positive for SARS-CoV-2. After adjusting for potential confounding factors, PwDs had an increased risk of SARS-CoV-2 test positivity compared with people without disabilities (odds ratio [OR]: 1.36, 95% confidence interval [CI]: 1.24-1.48). Among participants who tested positive for SARS-CoV-2, PwDs were associated with an increased risk of major adverse clinical outcomes from COVID-19 compared to those without disabilities (OR: 1.43, 95% CI: 1.11-1.86). CONCLUSIONS: PwDs had an increased risk of COVID-19 and major adverse clinical outcomes of COVID-19 compared with people without disabilities. Given the higher vulnerability of PwDs to COVID-19, tailored policy and management to protect against the risk of COVID-19 are required.

Label-Free Assay of Protein Kinase A Activity and Inhibition Using a Peptide-Based Electrochemical Sensor.

We propose a simple label-free electrochemical biosensor for monitoring protein kinase activity and inhibition using a peptide-modified electrode. The biosensor employs cys-kemptide (CLRRASLG) as a substrate peptide which was immobilized on the surface of a gold electrode via the self-assembly of the thiol terminals in cysteine (C) residues. The interaction between protein kinase A (PKA) and adenosine 5'-triphosphate (ATP) on the cys-kemptide immobilized electrode can cause the transfer of ATP terminal phosphates to the peptide substrates at serine (S) residues, which alters the surface charge of the electrode, thus enabling monitoring of the PKA activity via measuring the interfacial electron transfer resistance with electrochemical impedance spectroscopy. The proposed sensor showed reliable, sensitive, and selective detection of PKA activity with a wide dynamic range of 0.1-100 U/mL and a detection limit of 56 mU/mL. The sensor also exhibited high selectivity, rendering it possible to screen PKA inhibitors. Moreover, the sensor can be employed to evaluate the activity and inhibition of PKA in real samples.