• The Korean Journal of Emergency Medical Services
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• v.28 no.1
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• pp.63-76
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• 2024

Purpose: To analyze trends related to demography and EMS and to provide supporting data for the appropriate deployment of EMS providers. Methods: In this cross-sectional study, data on patients transported by 119 EMS, demographics, and EMS factors were collected using the Korean Statistical Information Service (KOSIS) and the National Fire Agency annual report from 2017 to 2021. Results: During the study period, the total number of patients and those with severe disorders transported via 119 EMS showed an increasing trend. The total fertility rate and population during the same period tended to decrease, and the population density and number of households increased; however, there was a disparity between regions. The main demographic factors affecting the number of patients transported were population density and total fertility rate, while the main EMS factors were the number of ambulances and provision of emergency medical information services(hospital guidance, pharmacy information, and first aid guidance). Conclusion: From the perspective of EMS providers' force deployment, it is necessary to consider population density, population, number of households, total fertility rate, and number of emergency medical institutions and to strengthen the role of diverting the use of 119 EMS by minor patients by providing emergency medical information.

• The Korean Journal of Emergency Medical Services
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• v.23 no.3
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• pp.123-134
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• 2019

Purpose: This study aimed to analyze the number of patients with and without medical history transported to the emergency department due to changes in daily temperature and season. Methods: Data on emergency activity sheet and daily weather were collected from March 2016 to February 2017 in the city of Gyeonggi-do. In total, 13,531 patients were transferred to the emergency department in 119 ambulance. Data were analyzed using the Statistical Package for the Social Sciences (version 21). Results: The daily average number of patients transferred was the highest in August and September, i.e., the summer season. The higher the daily highest and lowest temperatures, higher the daily average number of patients transferred. In contrast, patients with medical history of hypertension, diabetes, heart disease, cerebrovascular disease, and pulmonary disease had a higher incidence of transfers in the winter season and on days with lower temperature. Conclusion: The results indicate that as people become more active during the summer when temperatures are high, the chances of daily emergencies increases, whereas patients with medical history are more likely to experience emergencies when the temperatures were lower. Hence, 119 ambulances will have to be prepared in advance to deal with this trend.

• Nuclear Medicine and Molecular Imaging
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• v.42 no.4
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• pp.261-266
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• 2008

We established a model to calculate radioactive waste from sewage disposal tank of hospitals to optimize the number of patients receiving inpatient radioiodine therapy within the safety guideline in our country. According to this model and calculation of radioactivity concentration using the number of patients per week, the treatment dose of radioiodine, the capacity and the number of sewage tanks and the daily amount of water waste per patient, estimated concentration of radioactivity in sewage waste upon disposal from disposal tanks after longterm retention were within the safety guideline (30 Bq/L) in all the hospitals examined. In addition to the fact that we could increase the number of patients in two thirds of hospitals, we found that the daily amount of waste water was the most important variable to allow the increase of the number of patients within the safety margin of disposed radioactivity. We propose that saving the water amount be led to increase the number of patients and they allow two patients in an already furnished hospital inpatient room to meet the increasing need of inpatient radioiodine treatment for thyroid cancer.

• Journal of dental hygiene science
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• v.24 no.1
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• pp.22-28
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• 2024

Background: Particulate matter (PM) has been extensively observed due to its negative association with human health. Previous research revealed the possible negative effect of air pollutant exposure on oral health. However, the predictive model between air pollutant exposure and the prevalence of periodontitis has not been observed yet. Therefore, this study aims to propose a predictive model for the number of patients with periodontitis exposed to PM and atmospheric factors in South Korea using deep learning. Methods: This study is a retrospective cohort study utilizing secondary data from the Korean Statistical Information Service and the Health Insurance Review and Assessment database for air pollution and the number of patients with periodontitis, respectively. Data from 2015 to 2022 were collected and consolidated every month, organized by region. Following data matching and management, the deep neural networks (DNN) model was applied, and the mean absolute percentage error (MAPE) value was calculated to ensure the accuracy of the model. Results: As we evaluated the DNN model with MAPE, the multivariate model of air pollution including exposure to PM_2.5, PM₁₀, and other atmospheric factors predict approximately 85% of the number of patients with periodontitis. The MAPE value ranged from 12.85 to 17.10 (mean±standard deviation=14.12±1.30), indicating a commendable level of accuracy. Conclusion: In this study, the predictive model for the number of patients with periodontitis is developed based on air pollution, including exposure to PM_2.5, PM₁₀, and other atmospheric factors. Additionally, various relevant factors are incorporated into the developed predictive model to elucidate specific causal relationships. It is anticipated that future research will lead to the development of a more accurate model for predicting the number of patients with periodontitis.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.3
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• pp.1181-1185
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• 2016

Background: The aim of this study is to compare the numbers of axillary lymph nodes (ALN) taken out by dissection between patients with breast cancer operated on after having neoadjuvant chemotherapy (NAC) treatment and otherswithout having neoadjuvant chemotherapy, and to investigate factors affecting lymph node positivity. Materials and Methods: A total of 49 patients operated due to advanced breast cancer after neoadjuvant chemotherapy and 144 patients with a similar stage of the cancer having primary surgical treatment without chemotherapy at the general surgery clinic of Ondokuz Mayis University Medicine Faculty between the dates 01.01.2006 and 31.10.2012 were included in the study. The total number of lymph nodes taken out by axillary dissection (ALND) was categorized as the number of positive lymph nodes and divided into <10 and ${\geq}10$. The variables to be compared were analysed using the program SPSS 15.0 with P<0.05 accepted as significant. Results: Median number of dissected lymph nodes from the patient group having neoadjuvant chemotherapy was 16 (16-33) while it was 20 (5-55) without chemotherapy. The respective median numbers of positive lymph nodes were 5 (0-19) and 10 (0-51). In 8 out of 49 neoadjuvant chemotherapy patients (16.3%), the number of dissected lymph nodes was below 10, and it was below 10 in 17 out of 144 primary surgery patients. Differences in numbers of dissected total and positive lymph nodes between two groups were significant, but this was not the case for numbers of <10 lymph nodes. Conclusions: The number of dissected lymph nodes from the patients with breast cancer having neoadjuvant chemotherapy may be less than without chemotherapy. This may not always be attributed to an inadequate axillary dissection. More research to evaluate the numbers of positive lymph nodes are required in order to increase the reliability of staging in the patients with breast cancer undergoing neoadjuvant chemotherapy.

• Journal of Korean Society for Quality Management
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• v.13 no.2
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• pp.21-28
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• 1985

The purpose of this study is to analyze the direct relationship between doctors and number of patients to be treated by applying many kinds of IE techniques. Generally, doctors in this research work both at Out Patient Data & In Patient Data. Under the hospital management system that they are applying in, doctor's daily working schedules are instable because the number of OPD patients daily. Therefore, the amount of time they spend for inward patients are variable too. So the numbers of patients have great influence to the whole hospital system management.

• International journal of advanced smart convergence
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• v.10 no.2
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• pp.145-150
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• 2021

Patients with Pressure injuries (PIs) may have pain and discomfort, which results in poorer patient outcomes and additional cost for treatment. This study was a part of larger research project that aimed at prediction modeling using a big data. The purpose of this study were to describe the characteristics of patients with PI in critical care; and to explore comorbidity and diagnostic and interventive procedures that have been done for patients in critical care. This is a secondary data analysis. Data were retrieved from a large clinical database, MIMIC-III Clinical database. The number of unique patients with PI was 2,286 in total. Approximately 60% were male and 68.4% were White. Among the patients, 9.9% were dead. In term of discharge disposition, 56.2% (33.9% Home, 22.3% Home Health Care) where as 32.3% were transferred to another institutions. The rest of them were hospice (0.8%), left against medical advice (0.7%), and others (0.2%). The top three most frequently co-existing kinds of diseases were Hypertension, not otherwise specified (NOS), congestive heart failure NOS, and Acute kidney failure NOS. The number of patients with PI who have one or more procedures was 2,169 (94.9%). The number of unique procedures was 981. The top three most frequent procedures were 'Venous catheterization, not elsewhere classified,' and 'Enteral infusion of concentrated nutritional substances.' Patient with a greater number of comorbid conditions were likely to have longer length of ICU stay (r=.452, p<.001). In addition, patient with a greater number of procedures that were performed during the admission were strongly tend to stay longer in hospital (r=.729, p<.001). Therefore, prospective studies focusing on comorbidity; and diagnostic and preventive procedures are needed in the prediction modeling of pressure injury development in ICU patients.

• The Korean Journal of Rehabilitation Nursing
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• v.6 no.1
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• pp.7-13
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• 2003

Purpose: To identify the essential characteristics of pain which nurse have to obtain for patients with chest pain, 92 patients who were admitted in medical units to take intensive tests for heart disease were investigated cross-sectionally. Method: Duration, severity, stress, anxiety, perceived severity, number of painful area, number of accompanying symptoms, triggering activity, and pattern were included as the characteristics of pain. Ejection fraction of left ventricle and number of involved area detected by ultrasonography and number of diseased coronary artery detected by cardiac catheterization were assessed as the variables of heart disease extent. Result: Severity of pain was found to be correlated with all three variables of heart disease extent. Perceived severity and number of accompanying symptoms were correlated with two of them. Anxiety, number of painful area and pattern were related with the number of involved area. Conclusion: Pain severity reported by patients is found to be the most important variable to be obtained from patient. Variables such as perceived severity, number of accompanying symptoms, anxiety, number of painful area and pattern also have to be carefully assessed to anticipate the extent of heart disease.

• Journal of Korean Neurosurgical Society
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• v.52 no.4
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• pp.334-338
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• 2012

Objective : We compared the survival time between patients with multiple gamma knife radiosurgery (GKRS) and patients with a single GKRS plus whole brain radiation therapy (WBRT), in patients with multiple metachronous brain metastases from lung cancer. Methods : From May 2006 to July 2010, we analyzed 31 patients out of 112 patients who showed multiple metachronous brain metastases. 20 out of 31 patients underwent multiple GKRS (group A) and 11 patients underwent a single GKRS plus WBRT (group B). We compared the survival time between group A and B. Kaplan-Meier method and Cox proportional hazards were used to analyze relationship between survival and 1) the number of lesions in each patient, 2) the average volume of lesions in each patient, 3) the number of repeated GKRS, and 4) the interval of development of new lesions, respectively. Results : Median survival time was 18 months (range 6-50 months) in group A and 6 months (range 3-18 months) in group B. Only the average volume of individual lesion (over 10 cc) was negatively related with survival time according to Kaplan-Meier method. Cox-proportional hazard ratio of each variable was 1.1559 for the number of lesions, 1.0005 for the average volume of lesions, 0.0894 for the numbers of repeated GKRS, and 0.5970 for the interval of development of new lesions. Conclusion : This study showed extended survival time in group A compared with group B. Our result supports that multiple GKRS is of value in extending the survival time in patients with multiple metachronous brain metastases, and that the number of the lesions and the frequency of development of new lesions are not an obstacle in treating patients with GKRS.

• Health Policy and Management
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• v.32 no.2
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• pp.164-172
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• 2022

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.