Technological Advances and the Future of Suicide Prevention: Ethical,Legal, and Empirical Challenges

Technological advancements have brought multiple and diverse benefits to our human existence. In suicide prevention, new technologies have spurred great interest in and reports of the applicability to assessing, monitoring, and intervening in various community and clinical populations. We argue in this article that we need to better understand the complexities of implementation of technological advances; especially the accuracy, effectiveness, safety, ethical, and legal issues, even as implementation occurs at individual, clinical, and population levels, in order to achieve that measure of public health impact we all desire (i.e., greater benefit than harm).     

An Examination of Potential Misclassification of Army Suicides: Results from the Army Study to Assess Risk and Resilience in Servicemembers

Debate continues about the accuracy of military suicide reporting due to concerns that some suicides may be classified as accidents to minimize stigma and ensure survivor benefits. We systematically reviewed records for 998 active duty Army deaths (510 suicides; 488 accident, homicide, and undetermined deaths; 2005‐2009) and, using research criteria, reclassified 8.2% of the nonsuicide cases to definite suicide (1), suicide probable (4), or suicide possible (35). The reclassification rate to definite suicide was only 0.2% (1/488). This low rate suggests that flagrant misclassification of Army deaths is uncommon and surveillance reports likely reflect the “true” population of Army suicides.     

Suicides around Major Public Holidays in South Korea

A dip and peak pattern of suicide around major public holidays has been found in developed countries and explained by the broken promise effect. Focusing on two major holidays in South Korea (New Year's Day and Thanksgiving Day, both on the lunar calendar), replication of the dip and peak pattern was done by analyzing individual information on all suicides from 1997 to 2014. The replicated pattern revealed the most vulnerable group to be married men aged 50+ in nonmetropolitan areas in 2006–2014. Families, friends, and policy makers can use these findings to save the vulnerable.