Objective: Dysphagia is a common clinical condition characterized by difficulty in swallowing. It is sub-classified into oropharyngeal dysphagia, which refers to problems in the mouth and pharynx, and esophageal dysphagia, which refers to problems in the esophageal body and esophagogastric junction. Dysphagia can have a significant negative impact one’s physical health and quality of life as its severity increases. Therefore, proper assessment and management of dysphagia are critical for improving swallowing function and preventing complications. Thus a guideline was developed to provide evidence-based recommendations for assessment and management in patients with dysphagia. Methods: Nineteen key questions on dysphagia were developed. These questions dealt with various aspects of problems related to dysphagia, including assessment, management, and complications. A literature search for relevant articles was conducted using Pubmed, Embase, the Cochrane Library, and one domestic database of KoreaMed, until April 2021. The level of evidence and recommendation grade were established according to the Grading of Recommendation Assessment, Development and Evaluation methodology. Results: Early screening and assessment of videofluoroscopic swallowing were recommended for assessing the presence of dysphagia. Therapeutic methods, such as tongue and pharyngeal muscle strengthening exercises and neuromuscular electrical stimulation with swallowing therapy, were effective in improving swallowing function and quality of life in patients with dysphagia. Nutritional intervention and an oral care program were also recommended. Conclusion This guideline presents recommendations for the assessment and management of patients with oropharyngeal dysphagia, including rehabilitative strategies.

Background: Surgical resection is the standard treatment for early-stage lung cancer. Since postoperative lung function is related to mortality, predicted postoperative lung function is used to determine the treatment modality. The aim of this study was to evaluate the predictive performance of linear regression and machine learning models. Methods: We extracted data from the Clinical Data Warehouse and developed three sets: set I, the linear regression model; set II, machine learning models omitting the missing data: and set III, machine learning models imputing the missing data. Six machine learning models, the least absolute shrinkage and selection operator (LASSO), Ridge regression, ElasticNet, Random Forest, eXtreme gradient boosting (XGBoost), and the light gradient boosting machine (LightGBM) were implemented. The forced expiratory volume in 1 second measured 6 months after surgery was defined as the outcome. Five-fold cross-validation was performed for hyperparameter tuning of the machine learning models. The dataset was split into training and test datasets at a 70:30 ratio. Implementation was done after dataset splitting in set III. Predictive performance was evaluated by R2 and mean squared error (MSE) in the three sets. Results: A total of 1,487 patients were included in sets I and III and 896 patients were included in set II. In set I, the R2 value was 0.27 and in set II, LightGBM was the best model with the highest R2 value of 0.5 and the lowest MSE of 154.95. In set III, LightGBM was the best model with the highest R2 value of 0.56 and the lowest MSE of 174.07. Conclusion The LightGBM model showed the best performance in predicting postoperative lung function.

Objective: This study evaluated the anxiety, work, and socioeconomic burden of emergency physicians (EP) during the coronavirus disease 2019 (COVID-19) pandemic in South Korea. Methods: A cross-sectional observational study was conducted using data from the 2020 Korean Emergency Physician Survey that included the following domains: hospital resources of suspected COVID-19 patients, availability of personal protective equipment, levels of home and workplace anxiety, the severity of work burnout, identification of stressors, changes in personal environments, and measures to decrease stress/anxiety. Results: Totally, 855 eligible participants were enrolled in the study. A statistically significant deterioration was observed in response to decreased working income or an unstable employment situation (0.46±0.88 points). The median number of patients with confirmed COVID-19 was 2.72. The risk of infection during emergency department (ED) work was found to be significantly increased (P<0.01). Of the 751 respondents (91.4%) who reported patient contact during their survey phase, 516 (62.8%) reported having taken the COVID-19 reverse transcription polymerase chain reaction test. The major factors that affected worsening of the work burden were determined to be unsuitable inter-hospital transfer arrangements for febrile patients (3.46±1.06 before vs. 1.99±1.16 after the pandemic, P<0.01) and delayed consultation for patients with fever or respiratory symptoms in the ED (3.20±1.06 before vs. 2.66±1.10 after the pandemic, P<0.01). Conclusion During the peak phase, the COVID-19 pandemic induced substantial workplace and socioeconomic burdens for Korean EPs. The sustained impact of the pandemic on the wellness of EPs deserves further investigation to guide targeted interventions.

Objective: Machine learning is emerging as a new alternative in various scientific fields and is potentially a new method of interpretation. Using the Light Gradient Boosting Machine (LightGBM), we analyzed the factors that influence the rechoice of emergency medicine responders. The survey is a cross-sectional study which provides an accurate understanding of a responder's current status. However, the results may vary depending on the composition, format, and question, and the relationship between the answers may be unclear. Methods: This study evaluated the modified 2020 Korean Emergency Physician Survey raw data. We applied the preferred model for random relationship check, random forest, support vector machine, and LightGBM models. The stacking ensemble model was used for the final decision process. Results: ‘It is fun working in an emergency room’was the most selected response factor for re-choice, followed by ‘interesting major’. The physical burden of age and lack of identity had a negative impact, whereas burnout and emotional stress factors had a lesser effect. Anxiety caused by the coronavirus disease 2019 (COVID-19) is thought to have a significant impact on this decision making. Conclusion Establishing the identity of emergency medicine and being faithful to its fundamental mission is a way to increase the rate of re-choice. Decreasing the burden of workload modified according to age is recommended to establish career longevity. The method of machine learning presents us with a new possibility of checking the relevance of survey results quickly and easily.

Objective: It has been reported that emergency physicians experience high levels of depression and psychological burnout due to night shifts and tend to consider early retirement. This study intended to check working hours and intensity, individual health, satisfaction, and overall welfare, given the increase in the numbers of emergency physicians. Methods: The study used the results of the ‘2020 Korean Emergency Physician Survey (KEPS)’ conducted from January 15 to February 26, 2021, which targeted 2,138 emergency physicians registered with the Korean Society of Emergency Medicine. The survey was conducted online through the web and mobile application. Results: One thousand three hundred seven out of the 2,167 emergency physicians (60.3%) registered at the society responded. The average age of the respondents was 42.6 years, and there were 1,148 male emergency physicians and 158 female emergency physicians. The average professional experience was 8.2 years, with 325 professors, 122 commissioned doctors, 648 public servants of which 90 had military service, and 45 medical practitioners. Conclusion In conclusion, the number of working hours of emergency physicians showed a decreasing trend compared to 2010 and 2015. However, emergency physicians often expected early retirement. This suggests that, while the absolute working hours are decreasing, the actual working intensity has not decreased. For the proper development of the emergency medical system, it is necessary to establish a stable working environment for emergency physicians. A systematic study is needed on the working hours and work intensity of emergency physicians.

Objective: As the history of emergency medicine grows longer, emergency medicine specialists are observed to comprise various age groups. There have been no prior studies on the generation shift analysis of emergency medicine specialists. Our study is designed to identify the characteristics of each generation and predict the generation shift in emergency medicine physicians. Methods: The analysis was based on the results of the 2020 survey of emergency medicine specialists. The study was conducted on 1,307 respondents and finally, the responses of 967 people were analyzed after excluding 199 who were not in charge of emergency room treatments and 141 who gave incomplete responses. The respondents were divided into four groups based on the following generations: first generation (1996-1999), second generation (2000-2008), third generation (2009-2014), and fourth generation (2015-2020), classified by the year in which they acquired their emergency medicine board license. The intergenerational difference analysis was done using the Kruskall-Wallis test. Results: The first generation was characterized by a high proportion of university hospital professors, large non-clinical activity hours, a few night shifts, higher social contributions, low satisfaction with the training and education environment, and a high retirement age compared to the later generations. In the second generation, the characteristics of the first, third, and fourth generations were generally mixed. The third and fourth generations showed similar characteristics overall, though there were differences in some categories. Conclusion There were significant differences by generation in the working environments, motivation for application, and retirement age. This is the first study that quantifies generational differences. Considering these trends, a discussion about the work environment needs to be initiated.

Objective: Emergency physicians are constantly exposed to night shifts and stress due to the nature of their work, resulting in health problems such as substance abuse, depression, and suicidal ideation. To date, depression in Korean emergency physicians has never been investigated. The present study endeavors to identify the prevalence and factors related to depression in emergency physicians in Korea. Methods: The present study retrospectively analyzed data from the 2020 Korean Emergency Physician Survey. The prevalence of depression was evaluated using the PHQ-9 (Patient Healthcare Questionnaire-9). Multivariable logistic regression analysis was used to identify the factors related to depression and other variables. Results: The overall response rate of the survey was 61.3% (1,307/2,138). A total of 1,102 respondents completed the PHQ- 9 and were analyzed. The prevalence of depression was 27.0% (95% confidence interval [CI], 27.8-33.6). Following factors were found to be associated with depression: military service as the type of position (odds ratio [OR], 0.316; 95% CI, 0.126- 0.794), schedule satisfaction (OR, 0.523; 95% CI, 0.356-0.769), health perspective (OR, 0.408; 95% CI, 0.252-0.662), weekly exercise (OR, 0.879; 95% CI, 0.774-0.998), sleep quality (OR, 4.728; 95% CI, 3.329-6.715), regular diet (OR, 0.380; 95% CI, 0.239-0.605), nighttime snacking (OR, 1.607; 95% CI, 1.124-2.298), and job satisfaction (OR, 0.456; 95% CI, 0.305-0.682). Conclusion More than a quarter of respondents had depression. Job satisfaction, schedule satisfaction, and a healthy lifestyle were negatively related to depression. However, poor sleep quality showed a significantly positive association, which suggests the necessity for a long-term follow-up.

Objective: Unlike the temporary nature of an emergency resident's job, the position of an emergency physician is one of a lifelong commitment requiring stability and persistence. However, it is hard to pursue a healthy lifestyle because of the 24 hours a day, 7 days a week (24/7) working schedule. The emergency room environment demands high physical and mental stamina, and hence the health problems of emergency physicians have a significant impact on the patient’s outcome. Our study was designed to analyze the emergency physician’s health status and influencing factors based on the data from the 2020 Korean Emergency Physician Survey. Methods: Based on the results of the survey, the factors affecting health were classified into several categories, such as personal character, working conditions, lifestyle, and emotional status. Statistical methods have been used to determine whether these factors can affect self-rated health. Results: The self-rated health worsened for emergency physicians in their 40s rather than in their 30s. However, drinking, smoking, and eating patterns had no effect on self-rated health. Also, the actual number of shifts was observed to bear no relationship with health. Sleeping, wellness, and mood affected self-rated health. Physicians who felt they were unhealthy, expected an early retirement because of the burden of night shifts. Conclusion Emergency physicians in Korea have a low self-rated health status. Mental stress, exercise, and sleep had an impact on the status. Physicians who served long-term night shifts saw a deleterious effect on their sleep and mood, and this damage was cumulative. The career longevity of an emergency physician thus requires a reasonable night shift schedule and age-modified adjustments.

Objective: In this study, we compared differences based on the gender of Korean emergency physicians to provide basic data for future emergency medicine development plans. Methods: We used data from the emergency physician survey (2020) conducted by the Korean Society of Emergency Medicine. A total of 1,303 emergency physicians responded to the survey. We adjusted demographic data relating to age, position, and work duration as an emergency physician, which could affect the differences based on gender. After propensity score matching, we compared working hours, work burden, income, motives for applying for emergency medicine, and future plans of the emergency physicians by sex. Results: The total working hours per month and night shifts per month were higher in men compared to the women. The women felt more pressure in the following areas: number of emergency patients, relationships with administrative agencies, insufficient emergency medical technician manpower, patients’ compliance, and relationships with other emergency physicians. Monthly income was higher in men. Women placed a higher value on ‘Acquiring a range of knowledge’ and ‘Degree of interest in working in the emergency room’ than men as motivation for applying for positions in emergency medicine. Regarding future plans, women placed less value on income and more on having enough free time and avoiding burnout. The retirement age was about 3 years lower for women than for men. Conclusion This study revealed gender differences in working hours, income, motivation for applying for emergency medicine, work burden, and future plans. It is expected that these differences are caused by physical limitations and socio-cultural backgrounds. It is recommended that more detailed investigations be carried out through qualitative research. These results could help in gender considerations while hiring emergency physicians.