Joon Pil Cho

Characteristics of Patients Who Visit the Emergency Department with Self-Inflicted Injury

During visits to emergency medical facilities, the primary care of and risk identification for individuals who have attempted suicide is considered an important element in suicide prevention. With the ultimate goal of helping to prevent suicide, the aim of the present study was to determine the characteristics of patients with self-inflicted injuries who presented in the emergency department. Patients with self-inflicted injuries who visited 1 of 3 sentinel emergency medical centers from 2007 through 2009 were included in the study. The characteristics, methods, and reasons for suicide attempts were evaluated. Moreover, predictors of severe outcomes were evaluated. A total of 2,996 patients with self-inflicted injuries visited the three centers during a period of 3 yr. The male-to-female suicide ratio was 1:1.38 (P < 0.001). The mean age was 41 yr. Poisoning was the most common method of self-inflicted injury (68.7%) among all age groups. Medication was the primary means of injury in the < 50 age group, and the use of agricultural chemicals was the primary means in the ≥ 50 age group. The reasons for attempting suicide varied among the age groups. The predictors of severe outcome are male gender, older age, and not having consumed alcohol.

Patients who leave the emergency department against medical advice

Objective Discharge against medical advice (DAMA) from the emergency department (ED) accounts for 0.1% to 2.7% of all ED discharges. DAMA carries a risk of increased mortality and readmissions. Our aim was to investigate the general characteristics of DAMA patients and the differences between them and non-DAMA patients. Methods We reviewed data collected by the National Emergency Medical Center between 2010 and 2011. Subjects were categorized into 2 groups, namely, the DAMA group and the non-DAMA group. We compared these groups with respect to age, gender, trauma or non-trauma status, type of hospital, health insurance, level of consciousness on admission, and diagnosis. Results Of 8,000,529 patients, 222,389 (2.78%) left against medical advice. The risk factors for DAMA across all age groups were as follows: no medical insurance (odds ratio [OR], 1.993), initial response to voice (OR, 2.753) or pain (OR, 2.101), trauma admission (OR, 1.126), admission to a local emergency medical center (OR, 1.215), and increased age. A high risk of DAMA was observed among patients with immune, endocrine, psychiatric, neurological, circulatory diseases, and external causes of morbidity and mortality. Conclusion Although DAMA cases account for only a small percentage of hospital discharges, they are important because DAMA patients have high readmission and mortality rates. It is therefore important to understand the general characteristics and predictors of DAMA in order to improve patient outcome and minimize the economic burden on the healthcare system.

Syndromic Surveillances based on the Emergency Department

Due to heightened concerns regarding possible bioterrorist attacks, the Korea Center for Disease Control and Prevention introduced syndromic surveillance systems, which have been run by emergency departments in hospitals throughout Korea since 2002. These systems are designed to identify illness clusters before diagnoses are confirmed and reported to public health agencies, to mobilize a rapid response, and thereby to reduce morbidity and mortality. The Korea Center for Disease Control and Prevention performed drop-in syndromic surveillance successfully during the World Cup Football Games in 2002, the Universiad games in 2004, and the Asian Pacific Economic Cooperation meeting in 2005. In addition, sustainable syndromic surveillance system involving the collaborative efforts of 125 sentinel hospitals has been in operation nationwide since 2002. Because active data collection can bias decisions a physician makes, there is a need to generate an automatic and passive data collection system. Therefore, the Korea Center for Disease Control and Prevention plans to establish computerized automatic data collection systems in the near future. These systems will be used not only for the early detection of bioterrorism but also for more effective public health responses to disease.