Objective: In September 2018, the traffic law revision has enforced all passengers in cars to wear seatbelts. Our study aims to investigate the effects of this law revision on fellow passengers involved in car accidents by considering their seatbelt-wearing rate and severity score. Methods: This study is a retrospective observational study. Data were collected from the Emergency Department-based Injury in-depth Surveillance (for the years 2017 and 2019), Korea Disease Control and Prevention Agency. Candidates were patients who visited emergency rooms (ERs) of 23 hospitals from January to December in the years 2017 and 2019. Patients under the age of 15 years or without Excess Mortality Ratio-adjusted Injury Severity Score (EMR-ISS) data or having accidents on highways were excluded. Results: The total number of patients who visited ERs during the study periods was 91,506 and 14,806 in 2017 and 2019, respectively, and were included in our study. There were more fellow female passengers than male passengers during both the study periods: 5,559 in 2017 (67.9%) and 4,341 in 2019 (66.8%). Compared to 52.2% in 2017, the rate of wearing seatbelts increased to 54.5% in 2019. However, after adjusting for age, sex, use of ambulance, injury time, alcohol use, type of road, and counterpart, multivariate logistic regression revealed that compared to the 2017 group, the odds ratio of severe injuries in the 2019 group was 1.10 (95% confidence interval, 0.98-1.24). Conclusion Increased rate of wearing seatbelts after imposing the traffic law revision was not satisfactory. Therefore, it is necessary to tighten regulations on fellow passengers without seat belts and improve awareness through public relations.

Objective: Coronavirus disease 2019 (COVID-19) pandemic has been affecting the safety of hospital healthcare workers and the outcome of out-of-hospital cardiac arrest patients. This study aimed to analyze the influence of the changes inhospital infection control protocols (ICP) and cardiopulmonary resuscitation (CPR) environment on the treatment outcomes of out-of-hospital cardiac arrest patients. Methods: The medical records of patients who visited the emergency room were retrospectively reviewed for the period from March 13, 2019 to March 13, 2021. Patient data were analyzed before and after March 13, 2020, when the “in-hospital CPR guidelines related to COVID-19 infection” was recommended by the Korean Society of Emergency Medicine. We performed a comparison and analysis of the first epinephrine administration time and the intubation time with other CPR-related factors in both groups. The in-hospital return of spontaneous circulation (ROSC) and the over 24-hour survival rate were defined as treatment outcomes. Results: A total number of 453 patients were included in the study. After ICP, the in-hospital ROSC was increased (29.8% vs. 42.1%, P=0.006), whereas the over 24-hour survival rate was decreased (67.2% vs. 40.6%, P=0.001). The time intervals from the hospital visit to the first epinephrine administration—1.0 (0-1.0) vs. 1.0 (0-2.0), P=0.007—and tracheal intubation—1.0 (0-1.0) vs. 1.0 (1.0-2.8), P<0.001—were statistically significantly higher than those before ICP application. In our multivariable analysis, the ICP application and pre-hospital emergency medical service (EMS) response time were factors associated with the treatment outcome. Conclusion After the application of the ICP, both the first epinephrine administration time and the tracheal intubation time from the patient’s hospital visit were prolonged. The application of ICP and the delayed EMS response time were factors associated with the treatment outcome.

Purpose: We aimed to investigate the changing trends in intentional drug poisoning among pediatric and adolescent patients over the past 10 years. Methods: A retrospective study was conducted on patients younger than 20 years who visited an academic hospital emergency department (ED) in Incheon, Korea, from January 2011 through December 2020. The study focused on patients who responded with “self-harm or suicide” in the ED-based Injury In-depth Surveillance, and whose injury mechanism was drug poisoning. Exclusion criteria were unintentional injuries and the ingestion of substances other than drugs. To describe the trend over the decade, we used the number of events/100,000 ED annual visits of the database. Results: A total of 3,388 cases with a median age of 17 years (interquartile range, 15-18 years) were included. The most frequently ingested drugs were acetaminophen (27.8%), followed by benzodiazepines (15.2%), antidepressants (14.1%), other sedatives and hypnotics (13.4%), and antipsychotics (8.3%). As for the events/100,000 ED annual visits, benzodiazepines showed the biggest increase, from 7.6 to 80.2 cases. Similarly, antidepressants increased from 10.2 to 71.1 cases, and antipsychotics from 3.6 to 53.7 cases. Conclusion Intentional drug poisoning has increased over the past 10 years, particularly in benzodiazepines, antidepressants, and antipsychotics. It is advisable to establish injury prevention strategies according to patients’ characteristics and ingested drugs.

Purpose: The aim of this study was to investigate the epidemiologic features of pediatric dental injury according to age groups using Korean national data. Methods: We reviewed the data from 2015 to 2019 Emergency Department-based Injury In-depth Surveillance registry, which involves 23 emergency departments in Korea. We included children aged 18 years or younger with the International Classification of Disease, 10th Revision codes related to dental injury. Other or combined codes were excluded. The children were classified by age groups: infants (< 1 year), preschoolers (2-6), schoolers (7-12), and adolescents (13-18). As per the age groups, we compared the clinical characteristics, injury event profiles, and outcomes. Results: The study population (n = 33,020) consisted of 8,900 infants (27.0%), 15,705 preschoolers (47.6%), 5,295 schoolers (16.0%), and 3,120 adolescents (9.4%). Their median age was 3 years (interquartile range, 1-7), and boys accounted for 64.2%. The most common mechanism, type of activity, and place were slip down (14,274 [43.2%]), daily activity (23,777 [72.0%]), and home (19,980 [60.5%]), respectively. Among the injury types, soft tissue injury was most common (24,357 [73.8%]). As for the outcomes, 32,841 (99.5%) children were discharged, and 332 (1.0%) children had severe injury. As the age increased, the frequencies changed as follows. As for the place and type, household injury and soft tissue injury decreased while outdoor injury, such as road traffic injury, and tooth fracture increased (P < 0.001). As for the type of activity, injuries related to exercise/sports and education increased (P < 0.001). Of the sports activity, ball sports increased while kickboard/cycle decreased (P < 0.001). Conclusion Using the epidemiologic features of pediatric dental injury, it is advisable to establish injury prevention strategies according to the age groups.

Objective: To examine the features of powered mobility device-related injuries and identify the predictors of injury severity in such settings. Methods: Emergency Department-based Injury In-depth Surveillance data from 2011 to 2018 were used in this retrospective study. Participants were assigned to the mild/moderate and severe groups based on their excess mortality ratio–adjusted injury severity score and their general injury-related factors and injury outcome-related factors were compared. Results: Of 407 patients, 298 (79.2%) were assigned to the mild/moderate group and 109 (26.8%) to the severe group. The severe group included a higher percentage of patients aged 70 years or older (43.0% vs. 59.6%, P=0.003), injuries incurred in the daytime (72.6% vs. 82.4%, P=0.044), injuries from traffic accidents and falls (P=0.042), head injuries (38.6% vs. 80.7%, P<0.001), torso injuries (16.8% vs. 32.1%, P=0.001), overall hospital admission (28.5% vs. 82.6%, P<0.001), intensive care unit admission (1.7% vs. 37.6%, P<0.001), death after admission (1.4% vs. 10.3%, P=0.034), and total mortality (0.7% vs. 9.2%, P<0.001). The odds ratios (ORs) for injury severity were as follows: age 70 years or older (OR, 2.124; 95% confidence interval [CI], 1.239–3.642), head injury (OR, 10.441; 95% CI, 5.465–19.950), and torso injury (OR, 4.858; 95% CI, 2.495–9.458). Conclusion The proportions of patients aged 70 years or older, head and torso injuries, injuries from traffic accidents and falls, and injuries in the daytime were higher in the severe group. Our results highlight the need for measures to address these factors to lower the incidence of severe injuries.

Objective: When mass casualty incidents occur in Korea, disaster medical assistance teams (DMATs) and public health disaster response teams (PHDRTs) treat casualties at the scene. However, the appropriateness of their on-site responses has not been assessed so far. In this study, we evaluated their response and the variations in their response according to the accessibility of medical care. Methods: We analyzed mass casualty incidents that were reported to the Disaster Emergency Medical Service Situation Room of the National Emergency Medical Center from July 2014 to December 2018. We divided the accident locations into medically underserved areas (MUAs) and adequately served areas (ASAs) and compared the responses of the two teams in each area. Results: Of the 61 incidents, 20 occurred in MUAs, and 41 occurred in ASAs. In MUAs compared to ASAs, time from DMATs' dispatch to arrival was longer (48 [40-58.5] vs. 23 [18-32], P<0.001) but the time taken by the PHDRTs did not vary between two areas (19 [14-35] vs. 15.5 [9-24.5], P=0.263). In MUAs, the time elapsed from the PHDRTs' dispatch to arrival was less than that of the DMATs (48 [40-58.5] vs. 20 [15-35], P<0.001). In MUAs, the distance of the PHDRTs from the scene was lower (31.4 [25-50.95] vs. 13.6 [5.3-19.7], P=0.001) and more members were dispatched to the scene than the DMAT (5 [4-6] vs. 9 [5-10.5], P=0.013). Conclusion Because of the low accessibility to the scene in MUAs, DMATs took a long time to initiate medical support . To provide adequate disaster medical support, the PHDRTs must be specialized and trained.

Objective: Previous studies lacked an accurate analysis of age-specific mortality because they included either a single hospital’s data or survey-based method, rather than the patient’s information from the emergency room (ER). Therefore, this study analyzed the mortality risk by age group among patients who visited the ER with suicidal attempts using large-scale data. Methods: Data were collected from the in-depth surveillance data of injury among patients who visited the ERs of 23 hospitals from January 2011 to December 2018. Their ages were divided into 10-year ranges for patients aged 15 years or older (15-24, 25-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years). The patients’ sex, alcohol consumption before the injury, time of injury, place of injury, ambulance used for transport to the ER, disposition at the ER, and total deaths were investigated. Results: The number of patients was 41,257, of which 38,229 (92.7%) survived and 3,082 (7.3%) died. The proportions of patients in each group who died from suicidal attempts in the 15-24, 25-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years groups were 2.7%, 3.1%, 5.4%, 7.8%, 12.0%, 18.5%, and 21.8%, respectively (P<0.001). A statistically positive-response relationship was noted (P trend<0.001). As a result of adjusting for sex, age, place of injury, time of injury, and alcohol consumption in multivariate logistic regression analysis, and the odds ratios of deaths were 1.70, 2.37, 2.86, 5.18, 5.48, and 6.41, respectively (reference, 15-24 years). Moreover, compared to women, the men’s odds ratio of death was 1.58. Conclusion Among patients who visited the ER due to suicidal attempts, those of advanced age and males have high mortality.

Objective: When mass casualty incidents occur in Korea, disaster medical assistance teams (DMATs) and public health disaster response teams (PHDRTs) treat casualties at the scene. However, the appropriateness of their on-site responses has not been assessed so far. In this study, we evaluated their response and the variations in their response according to the accessibility of medical care. Methods: We analyzed mass casualty incidents that were reported to the Disaster Emergency Medical Service Situation Room of the National Emergency Medical Center from July 2014 to December 2018. We divided the accident locations into medically underserved areas (MUAs) and adequately served areas (ASAs) and compared the responses of the two teams in each area. Results: Of the 61 incidents, 20 occurred in MUAs, and 41 occurred in ASAs. In MUAs compared to ASAs, time from DMATs' dispatch to arrival was longer (48 [40-58.5] vs. 23 [18-32], P<0.001) but the time taken by the PHDRTs did not vary between two areas (19 [14-35] vs. 15.5 [9-24.5], P=0.263). In MUAs, the time elapsed from the PHDRTs' dispatch to arrival was less than that of the DMATs (48 [40-58.5] vs. 20 [15-35], P<0.001). In MUAs, the distance of the PHDRTs from the scene was lower (31.4 [25-50.95] vs. 13.6 [5.3-19.7], P=0.001) and more members were dispatched to the scene than the DMAT (5 [4-6] vs. 9 [5-10.5], P=0.013). Conclusion Because of the low accessibility to the scene in MUAs, DMATs took a long time to initiate medical support . To provide adequate disaster medical support, the PHDRTs must be specialized and trained.

Objective: Previous studies lacked an accurate analysis of age-specific mortality because they included either a single hospital’s data or survey-based method, rather than the patient’s information from the emergency room (ER). Therefore, this study analyzed the mortality risk by age group among patients who visited the ER with suicidal attempts using large-scale data. Methods: Data were collected from the in-depth surveillance data of injury among patients who visited the ERs of 23 hospitals from January 2011 to December 2018. Their ages were divided into 10-year ranges for patients aged 15 years or older (15-24, 25-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years). The patients’ sex, alcohol consumption before the injury, time of injury, place of injury, ambulance used for transport to the ER, disposition at the ER, and total deaths were investigated. Results: The number of patients was 41,257, of which 38,229 (92.7%) survived and 3,082 (7.3%) died. The proportions of patients in each group who died from suicidal attempts in the 15-24, 25-34, 35-44, 45-54, 55-64, 65-74, and ≥75 years groups were 2.7%, 3.1%, 5.4%, 7.8%, 12.0%, 18.5%, and 21.8%, respectively (P<0.001). A statistically positive-response relationship was noted (P trend<0.001). As a result of adjusting for sex, age, place of injury, time of injury, and alcohol consumption in multivariate logistic regression analysis, and the odds ratios of deaths were 1.70, 2.37, 2.86, 5.18, 5.48, and 6.41, respectively (reference, 15-24 years). Moreover, compared to women, the men’s odds ratio of death was 1.58. Conclusion Among patients who visited the ER due to suicidal attempts, those of advanced age and males have high mortality.

Objective: To examine the features of powered mobility device-related injuries and identify the predictors of injury severity in such settings. Methods: Emergency Department-based Injury In-depth Surveillance data from 2011 to 2018 were used in this retrospective study. Participants were assigned to the mild/moderate and severe groups based on their excess mortality ratio–adjusted injury severity score and their general injury-related factors and injury outcome-related factors were compared. Results: Of 407 patients, 298 (79.2%) were assigned to the mild/moderate group and 109 (26.8%) to the severe group. The severe group included a higher percentage of patients aged 70 years or older (43.0% vs. 59.6%, P=0.003), injuries incurred in the daytime (72.6% vs. 82.4%, P=0.044), injuries from traffic accidents and falls (P=0.042), head injuries (38.6% vs. 80.7%, P<0.001), torso injuries (16.8% vs. 32.1%, P=0.001), overall hospital admission (28.5% vs. 82.6%, P<0.001), intensive care unit admission (1.7% vs. 37.6%, P<0.001), death after admission (1.4% vs. 10.3%, P=0.034), and total mortality (0.7% vs. 9.2%, P<0.001). The odds ratios (ORs) for injury severity were as follows: age 70 years or older (OR, 2.124; 95% confidence interval [CI], 1.239–3.642), head injury (OR, 10.441; 95% CI, 5.465–19.950), and torso injury (OR, 4.858; 95% CI, 2.495–9.458). Conclusion The proportions of patients aged 70 years or older, head and torso injuries, injuries from traffic accidents and falls, and injuries in the daytime were higher in the severe group. Our results highlight the need for measures to address these factors to lower the incidence of severe injuries.