Background: This study aimed to find out the change in the rate and pattern of suicide attempts during severe acute respiratory syndrome COVID-19 pandemic period. Methods: This study was a retrospective analysis of data collected as a part of an emergency room-based post-suicide management program. The data were collected through interviews and from medical records of suicide attempts, maintained in the emergency room, from January 19 to October 31, 2020, during the “COVID-19 period,” and those who attempted suicide from January 19 to October 31, 2019 “pre-COVID-19 period.” We extracted educational background, marital status, occupation, presence of domestic partner, history of mental illness, alcohol consumption, history of previous suicide attempts; suicide attempt method and location (i.e., at home or a place other than home) at the time of attempt, and whether the attempt was a mass suicide. In addition, we compared patient severity between “COVID-19 period” and “pre-COVID-19 period” using the initial KTAS (South Korean triage and acuity scale) level, consciousness level, and systolic blood pressure. In 2012, KTAS was developed through the Ministry of Health and Welfare’s research project to establish triage system in South Korea. Results: The analysis of the number of suicide attempts during “pre-COVID-19 period” and “ COVID-19 period” showed that the number of suicide attempts during “COVID-19 period” (n = 440) increased compared to the “pre-COVID-19 period” (n = 400). Moreover, the method of suicide attempts during “COVID-19 period” included overdose of drugs such as hypnotics, antipsychotics, and pesticides that were already possessed by the patient increased compared to the “pre-COVID-19 period” (P < 0.05). At the time of the visit to the emergency room, high KTAS level, low level of consciousness, and low systolic blood pressure, were observed, which were significantly different between “COVID-19 period” and “pre-COVID-19 period” (P < 0.05). Conclusion: With the worldwide COVID-19 virus spread, suicide rate and suicide attempts at home have significantly increased. In addition, patient severity was higher in the “COVID-19 period” than that in the “pre-COVID-19 period.” The increasing suicide attempt rate should be controlled by cooperation between the emergency room and regional organizations.

The purpose of this study was to evaluate the effect of real-time audio ventilation feedback on the survival of patients with an out-of-hospital cardiac arrest (OHCA) during advanced cardiac life support (ACLS) performed by paramedics. This research was a prospective randomized controlled study performed in Busan, South Korea, from July 2022 to December 2022. This study included 121 patients, ages 19 and up, who were transferred to the study site, excluding 91 patients who did not receive CPR under a doctor’s direction as well as those who had a ’(DNR)’ order among 212 adult CA patients. OHCA patients’ clinical prognosis was compared by being randomly assigned to either a general manual defibrillator (NVF) group (N = 58) or a manual defibrillator with an audio ventilation feedback (AVF) group (N = 63). To verify the primary outcome, the cerebral performance category (CPC), return of spontaneous consciousness (ROSC), 30h survival, and survival discharge were compared. Multivariate logistic regression was conducted to analyze the association between the audio-feedback manual defibrillator (AVF) and the ROSC of OHCA patients. This study analyzed 121 patients among 212 OHCA patients. The ROSC (AVF group: 32 {26.4%} vs. NVF group: 21 {17.3%}), 24 h survival (AVF group: 24 {19.8%} vs. NVF group: 11 {9.0%}), and survival discharge (AVF group: 12 {9.9%} vs. NVF group: 6 {4.9%}) were higher in the AVF group than the NVF group. However, upon analyzing CPC scores in the surviving patients between the two groups, there was no significant difference (AVF group: 4.1 ± 1.23 vs. NVF group:4.7 ± 1.23, p = 1.232). Multivariate logistic regression analysis showed that the use of AVF was associated with a higher ROSC (odds ratio {OR}, 0.46; 95% confidence interval {CI}, 0.23–0.73; p < 0.01) and higher survival at 30 h (OR, 0.63; 95% CI, 0.41–0.98; p = 0.01).

Background: We designed a new 1-handed chest compression method, the “elbow-lock” chest compression (ELCC), for a single rescuer in pediatric cardiopulmonary resuscitation (CPR). Then, we compared the effectiveness between the ELCC and standard chest compression (SCC) method. Methods: This prospective, randomized controlled, crossover simulation trial studied 34 emergency medical professionals, including physicians, nurses, and EMTs. We compare the quality of chest compression and fatigue point time between the ELCC and the SCC. Results: Participants who performed the ELCC method maintained a proper depth of compression compared with SCC method (50.0 ± 0.3 mm vs 40.5 ± 0.4 mm, P < 0.001). However, the 2 methods did not differ in terms of compression velocity since neither reached the standard velocity (96.7 ± 7.1/minutes vs 91.7 ± 7.0/minutes, P < 0.016). With respect to the overall score, ELCC was more effective than the SCC (91.6 ± 3.7% vs 85.3 ± 8.8%, P = 0.002). In addition, the fatigue point time was slower in the ELCC group than the SCC group (7.3 ± 0.3/minutes vs 6.1 ± 0.4/minutes, P < 0.001). Conclusions: The single rescuer ELCC method is an effective alternative to the SCC method for pediatric CPR because the ELCC method can prevent elbow flexion. Trial registration: Our research is simulation manikin study. So we do not need to “trial registration”

Traffic injuries remain a major preventable cause of death and disability worldwide, and systematic national responses are required from the perspectives of healthy mobility and health equity. The ...

Background/Objectives: In March 2024, a resident doctor’s strike in South Korea created staffing gaps in teaching-hospital emergency departments. The purpose of this study was to evaluate pre- and post-strike changes in job stress, self-efficacy, job satisfaction, and job performance confidence among paramedics who work in hospitals and to compare patterns of change by career stage. Methods: Paramedics who work in hospitals designated as regional and local emergency medical centers completed a structured 41-item questionnaire across four domains on a 5-point Likert scale. Retrospective pre- and post-strike ratings were analyzed using paired t-tests. Subgroup analyses compared senior (≥5 years) and junior (1–2 years) paramedics. Results: Job stress increased after the strike, including additional task instruction (2.8 ± 0.9 to 3.6 ± 1.0), insufficient rest (3.1 ± 0.7 to 3.9 ± 0.9), and multitasking burden (3.3 ± 0.8 to 4.1 ± 0.9). Self-efficacy declined modestly (confronting difficult tasks: 3.9 ± 0.9 to 3.6 ± 0.9). Job satisfaction decreased (reward after work: 3.9 ± 0.7 to 3.5 ± 0.9), while turnover intention increased (2.7 ± 1.0 to 3.9 ± 0.9). Performance confidence showed minimal change (competence: 4.4 ± 0.6 to 4.3 ± 0.8). Subgroup findings were similar in seniors and juniors, with stress increasing and self-efficacy decreasing overall. Conclusions: Resident workforce shortages increased job stress among paramedics working in teaching-hospital emergency departments and heightened negative perceptions of their work. To prepare for similar workforce crises in the future, it is necessary to revise and realign the legal scope of practice to reflect paramedics’ roles and responsibilities in real-world settings while simultaneously establishing the policy and institutional infrastructure needed to support these changes.

Background/Objectives: Rapid and accurate electrocardiogram (ECG) interpretation is essential for timely recognition of ST-elevation myocardial infarction (STEMI) and initiation of reperfusion therapy in the emergency department (ED). We evaluated the diagnostic performance of a real-time artificial intelligence (AI) ECG interpretation system and its pragmatic impact when integrated into routine ED workflows. Methods: This prospective, single-center pragmatic observational study was conducted in a regional emergency medical center ED in Busan, Republic of Korea (1 January–31 December 2024). Consecutive adults (≥18 years) undergoing 12-lead ECG for cardiovascular-related symptoms were enrolled (N = 1524). A predefined alternating-day protocol allocated visits to physician-only interpretation days (physician-days, n = 763) or AI-output disclosure days (AI-days, n = 761). Diagnostic performance for STEMI was assessed using paired ECG-level comparisons between physician-alone interpretation and AI output against a blinded expert-panel reference standard; clinical impact outcomes included reperfusion-related time metrics, hospital length of stay (LOS), and in-hospital mortality. Results: Against the expert reference standard, AI showed higher STEMI sensitivity than physician-alone interpretation (96.7% vs. 68.3%; McNemar p = 0.027), while specificity was lower (75.9% vs. 84.5%; p = 0.018). In pragmatic day-level comparisons, door-to-balloon time was shorter on AI-days (40.0 ± 19.81 vs. 47.34 ± 21.90 min; p = 0.001), and time to PCI was significantly reduced among patients with atypical presentations (42.3 ± 18.21 vs. 57.1 ± 20.11 min; p = 0.013). Among admitted patients, hospital LOS was shorter on AI-days (13 ± 9.21 vs. 17 ± 10.31 days; p = 0.010), whereas in-hospital mortality did not differ significantly between groups (17.0% vs. 16.77%; p = 0.191). Conclusions: Real-time AI-ECG integration in the ED was associated with improved STEMI detection sensitivity and shorter reperfusion-related time metrics, particularly in atypical presentations, and with reduced hospital LOS among admitted patients. Short-term mortality was comparable between groups. Further multicenter studies are warranted to confirm generalizability and to balance benefits against potential false-positive–related operational impacts.