A nationwide implementation has attempted to provide the right care to the right patient at the right time. For this, a regionalized system of emergency care, which aims to improve patient outcomes through the effective and efficient use of resources within a region, is important. The Korean Government has made considerable efforts to achieve the goal of regionalization of emergency medical care, current Regional Emergency Medical Plan requires careful consideration of its barriers. Therefore, this study evaluated the limitations of the existing Regional Emergency Medical Plan, and strategies for re-establishing Regional Emergency Medical Plan for the success of regionalized emergency medical system.

Objective: The Public Health Disaster Response Team (PHDRT) has been organized by the Community Health Center since 2016 under the National Disaster Response Frame. They are mobilized when a Mass-Casualty-Incident is expected to occur. This study sheds light on the disaster medical system by analyzing the awareness of the PHDRT on the disaster medical management capacity. Methods: To develop the questionnaire, a literature review was conducted. The questionnaire was distributed and obtained after inspecting the survey questionnaire filled out by the PHDRT. There were 254 samples. The data were analyzed using descriptive statistics, t-test, ANOVA, and multiple regression. Results: Research has proven that the awareness of the disaster medical management capacity was 3.11 (rating 1-5). In detail, organizational capacity received the highest agreement score (3.54±0.84), while the budget and organization management was below the midpoint (2.73±0.83). Significant positive correlations were found between the capacity components, particularly the organizational capacity and cooperation system (r=0.71, P<0.01). The awareness was significantly different according to sex, age, job (type), total career, and task weight. The factors influencing the awareness of disaster medical management capacity included age, total career, and task weight. Conclusion The findings from awareness analysis suggest that national and systemic supports, as well as personal efforts, are necessary to strengthen the disaster medical management capacity.

BACKGROUND: Health screening is a preventive and cost-effective public health strategy for early detection of diseases. However, the COVID-19 pandemic has decreased health screening participation. The aim of this study was to examine regional differences in health screening participation between before and during COVID-19 pandemic and vulnerabilities of health screening participation in the regional context. METHODS: Administrative data from 229 districts consisting of 16 provinces in South Korea and health screening participation rate of each district collected in 2019 and 2020 were included in the study. Data were then analyzed via descriptive statistics and geographically weighted regression (GWR). RESULTS: This study revealed that health screening participation rates decreased in all districts during COVID-19. Regional vulnerabilities contributing to a further reduction in health screening participation rate included COVID-19 concerns, the population of those aged 65+ years and the disabled, lower education level, lower access to healthcare, and the prevalence of chronic disease. GWR analysis showed that different vulnerable factors had different degrees of influence on differences in health screening participation rate. CONCLUSIONS These findings could enhance our understanding of decreased health screening participation due to COVID-19 and suggest that regional vulnerabilities should be considered stringent public health strategies after COVID-19.
Humans ; COVID-19/epidemiology* ; Pandemics ; Republic of Korea/epidemiology* ; Educational Status ; Disabled Persons

Objective: Alcohol consumption is a frequent risk factor for trauma. The shock index is widely used to predict the prognosis of trauma, and alcohol can influence the shock index in several ways. This study investigated the usefulness of the shock index in trauma patients who had ingested alcohol. Methods: This was a retrospective, observational, single-center study. We performed a logistic regression analysis to assess the association between alcohol consumption and massive transfusions. A receiver operating characteristic (ROC) curve was constructed to determine the predictive value of the shock index for patients who had ingested alcohol. Results: A total of 5,128 patients were included in the study. The alcohol-positive group had lower systolic blood pressure and higher heart rate; consequently, the shock index in this group was higher. There was no significant difference between the proportion of the alcohol-positive and alcohol-negative groups who underwent massive transfusions and suffered hospital mortality compared to the overall proportion of patients who underwent massive transfusion based on the shock index. In the logistic regression analysis, the alcohol-negative group showed higher odds ratios for massive transfusions compared to the alcohol-positive group. The area under the ROC curve for predicting massive transfusion was 0.831 for the alcohol-positive group and 0.825 for the alcohol-negative group. However, when a cutoff value of 1 was used, the false positive rate was significantly higher in the alcohol-positive group. Conclusion The shock index is a useful tool for predicting outcomes in patients with trauma. However, in patients who have ingested alcohol, the shock index should be interpreted with caution.

Objective: This study evaluated the accuracy of the pre-hospital shock index multiplied by the AVPU scale (PSIAVPU) as a predictor of massive transfusion (MT) and traumatic coagulopathy. Methods: This research was a retrospective single-center study that included patients consecutively presenting to a trauma center between 2017 and 2020. The predictive value of the PSIAVPU for MT, in-hospital mortality, and traumatic coagulopathy was measured using the area under the curve (AUC) of the receiver operating characteristic curve. The AUC of the PSIAVPU was compared with the Reverse Shock Index multiplied by the Glasgow Coma Scale (rSIG) measured at the trauma center presentation. Results: One thousand seven hundred and ninety-two patients were included, of which 163 patients (9.09%) received MT and 195 patients (10.88%) died during their hospital stay. Traumatic coagulopathy was observed in 245 patients. The AUC values for the PSIAVPU in terms of predicting MT, hospital mortality, and traumatic coagulopathy were 0.755, 0.752, and 0.736, respectively. Conclusion In patients with trauma, the predictive power of the PSIAVPU was higher than that of the prehospital shock index and was comparable to that of the rSIG. The PSIAVPU is a useful indicator that can be used easily and quickly for trauma patients at the prehospital stage.