An approach for Risk Assessment Score of Suicide Attempt (RASSA)

Abstract

\n Background: Suicide remains a leading cause of death and psychiatric population is often at increased risk for suicide. Therefore, there is a persistent need for well-designed clinical instruments that allows us to identify relevant risk factors. Our study aims to improve patient follow-up and identify possible suicide risk markers from a passage to self-harm among hospitalized psychiatric patients. Methods: This case-control study included the review of psychiatric, sociodemographic, drug use, and other health-related data, retrieved from 1,680 psychiatric patients’ health records. Differences between comparative groups were examined, and stepwise logistic regression analyses were performed to identify suicide risk factors within this population.Results: From the analysis of 560 suicide attempters’ clinical records, thirteen risk items were included in our final model, named as Risk Assessment Score of Suicide Attempt (RASSA). The factors that scored the highest in this model were ‘not taking antipsychotic medication’, ‘somatic comorbidity’, and ‘a family history of suicide’. Suffering from depression has a high score, and treatment with selective serotonin reuptake inhibitors (SSRIs) is also involved in the risk of a suicide attempt. Regarding medication use, opioid analgesics decreased the risk score, while taking non-opioid analgesics increased it. In terms of commonly abused substances, alcohol, cocaine, and amphetamine dependence increased the score. A higher risk was also associated with cannabis dependence, while tobacco use reduced it. As for demographics, the risk was significantly greater for women and subjects who were unmarried. Conclusions: The proposed model of risk assessment score of suicide attempt (RASSA) offers the possibility of establishing a suicide attempt risk based on data directly gathered from the health records of psychiatric patients. Therefore, it might be used as an initial screening test before patient evaluation and psychometric tests.