J Korean Soc Emerg Med.  2019 Oct;30(5):419-427. 10.0000/jksem.2019.30.5.419.

Clinical characteristics of intentional self-harm inpatient with lethal methods

Affiliations
  • 1Department of Emergency Medicine, Hallym University College of Medicine, Chuncheon, Korea. mooeob@gmail.com
  • 2Department of Psychiatry, Hallym University College of Medicine, Chuncheon, Korea.
  • 3Department of Big Data Analytics, Ewha Womans University, Seoul, Korea.
  • 4Telemedicine Center, Hallym University, Chuncheon, Korea.

Abstract


OBJECTIVE
The aim of this study was to identify the latent class, according to the risk factors, of the patients hospitalized due to intentional self-harm by lethal means.
METHODS
The risk factors were derived by categorizing the intentional self-harming measures by lethal (hanging, pesticide poisoning, jumping, and drowning) and non-lethal (drug poisoning and stab) measures and comparing the demographics, diseased state, and suicide-related characteristics. Latent class analysis was performed to identify the type of intentional self-harm.
RESULTS
Male (sex), elderly (age), rural (residing location), and comorbid diseases were found to be the risk factors for fatal injuries. For this, four latent classes were modeled. Factors, such as the age group between 20 to 40 years, women, and family conflict were included in the first class. The second class included the age group between 30 to 50 years, men, and financial problems. The third class covered the age group between 60 to 70 years and comorbidity. The fourth class contained the age group of 10 to 50 years, women, and mental problems. The rate of suicide and choice of fatal suicide was ranked in the order of 3 (62.7%, 21.5%), 2 (59.8%, 13.9%), 4 (36.8%, 5.7%), and 1 (29.5%, 5.9%).
CONCLUSION
A lethal mean access control policy needs to be established for the high-risk group of self-harm. Moreover, establishing an emergency room-community link prevention policy could help reduce the re-suicide attempt among suffering patients.

Keyword

Suicide; Self-injurious behavior; Inpatients; Cluster analysis
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