Articles: hospital-emergency-service.
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Although many concerns have been raised on increased self-harm or suicide attempts since the emergence of the coronavirus disease 2019 (COVID-19) pandemic, the numbers of studies reported no consistent increase. This study aimed to analyze the data on the request for emergency medical service (EMS) in Daegu Metropolitan City in Korea to investigate the effects of the COVID-19 pandemic on the incidence and types of suicidal patients. Data of 4480 cases requesting EMS related to self-harm or suicide 1 year before and after the COVID-19 pandemic were retrospectively comparatively analyzed (February 19, 2019-February 18, 2021). ⋯ In multivariate regression analysis, women (OR 1.227, 95% CI = 1.072-1.405, P = .003), patients with psychiatric diseases (OR 1.223, 95% CI = 1.031-1.450, P = .021), patients with other chronic illnesses (OR 1.510, 95% CI = 1.127-2.023, P = .006), and CO or gas poisoning (not attempted) (OR 1.349, 95% CI = 1.038-1.753, P = .025) showed statistically significant differences. Among the request for EMS, requests for committed self-harm and attempts to commit suicide increased. Medical support and measures for mental health and emergency medical systems should be established for female patients and patients with psychiatric or other chronic diseases.
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Observational Study
Daily output measures of Emergency Department in association with seasonality and day of the week: A retrospective cohort observational study.
To evaluate the daily output measures of the emergency department (ED) in association with seasonality and the day of the week. A retrospective cohort of ED visits to tertiary medical centers between 2016 and 2020. The research unit was each day during the study period. ⋯ Admission rates varied slightly by season but were similar by day of the week apart from Saturdays. This may be attributable to the case mix on Saturdays or less restriction to admit when the number of visits is low. We recommended each Emergency Department to evaluate its daily output measures dependency with seasonality and day of the week for operational optimization.