New Tool Accurately Predicts Suicide Risk in SMI

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New Tool Accurately Predicts Suicide Risk in SMI
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A brief scalable suicide risk assessment tool accurately predicts suicide risk in patients with serious mental illness, a new population-based study shows.

Sariaslan and his team originally developed and validated the OxMIS in a cohort of 75,000 people with SMI in Sweden. Recognizing the lack of externally validated prognostic models in the mental health field, the team wanted to validate the instrument in a new, population-based sample in Finland.

The investigators found that 1475 individuals in the sample died by suicide within 1 year of their index episode . The investigators note the model overestimated the risk for patients who were at extremely high risk for suicide ."In our complementary sensitivity analysis, we observed improved calibration in these patients when we assigned them a suicide risk prediction of no more than 5%," they write.

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