Citation

Barnard K, Majidi S, Clements MA, Battelino T, Renard E, Close KL, Novak L, Kar P, Wu Y. Diabetes Technol. Ther. 2022; ePub(ePub): ePub.

Copyright

(Copyright © 2022, Mary Ann Liebert)

DOI

10.1089/dia.2021.0474

PMID

35238618

Abstract

Suicide is the leading cause of death among young people aged 20-34 and the second leading cause of death in adolescents aged 15-19. In the general population, among those attempting suicide 7% die by suicide and 23% reattempt with non-fatal consequences. Depression, closely associated with suicidal ideation, is diagnosed in 7-25% of the United States and European populations. Individuals with type 1 diabetes (T1D) have a 2-3 times higher prevalence of depression and approximately double the rate of suicide compared to the general population. Rates of self-harm and suicide amongst people with diabetes are likely to be considerably under-estimated due to poor identification. This information is critical in order to create interventions to decrease rates of suicide and self-harm. This is particularly important in the setting of advanced technologies in T1D, which offer both easier methods of self-injurious behaviours through insulin misuse and also can act as identification tools to identify risk insulin behaviours and provide opportunities to develop interventions and prevention efforts in those with depression and suicidal ideation/behavior/acts. To this end, our goal was to identify any literature on coding diabetes correctly in individuals who die by suicide or engage in intentional self-harm. Furthermore, to describe the RESCUE Collaborative Community and its goals of using multiple approaches to reduce rates of intended self-injury and suicide amongst people with diabetes. These include detection of cases, understanding support needs, identification of risk factors and early intervention for individuals at risk.

Language: en