Models of suicide risk: nice persons

Area of Science:

• Psychiatry
• Clinical Psychology
• Epidemiology

Background:

• Identifying individuals at high risk for suicide is a critical challenge in mental healthcare.
• Previous research suggests that distinct clinical profiles, or models, may exist among those at risk for suicide.

Purpose of the Study:

• To test the hypothesis that specific clinical models of at-risk individuals can yield reliable indicators of suicide risk.
• To derive and validate a set of high-risk indicators for clinical application within a defined patient population.

Main Methods:

• A cohort of 986 psychiatric inpatients, characterized by the "Nice Persons" model, was analyzed.
• The cohort was randomly divided into an index set (N=579) for indicator derivation and a validation set (N=407).
• Statistical analyses, including screening, linear discriminant, and logistic procedures, were employed to identify indicators from 184 prospective variables.

Main Results:

• Eleven high-risk indicators were identified from the index set.
• In the validation set, these 11 indicators achieved a sensitivity of 46% and a specificity of 88% in identifying suicides.
• While not statistically significant, the observed efficiency demonstrates considerable clinical potential.

Conclusions:

• The study supports the hypothesis that identifiable clinical models can yield specific, high-risk indicators for suicide.
• The derived indicators show promising clinical utility for identifying suicide risk in similar patient populations.
• Further research and development are warranted to refine and implement these findings in clinical practice.