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Updated: Jul 4, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
Published on: May 15, 2020
Predicting inpatient suicides and suicide attempts by using clinical routine data?
Tanja Neuner1, Rita Schmid, Manfred Wolfersdorf
1Department of Psychiatry and Psychotherapy, University of Regensburg, D-93042 Regensburg, Germany. tanja.neuner@medbo.de
Objective:
The study aimed at exploring prevalence and risk factors of inpatient suicides and attempted suicides in a psychiatric hospital.
Method:
Based on the German psychiatric basic documentation system, 20,543 patients with 40,451 episodes of inpatient care (1995-2004) in a psychiatric state hospital were included. Besides univariate analyses, multivariate logistic regression analyses and classification and regression tree analyses were performed.
Results:
Forty-one inpatient suicides were recorded. Risk of inpatient suicide is increased for patients with resistance to psychopharmacological treatment, previous suicide attempt, severe side effects and supportive psychotherapy before admission. Two hundred fourteen inpatient suicide attempts occurred during the 10-year period. Risk factors of inpatient suicide attempt are assault, personality disorder, previous suicide attempt, psychopharmacological treatment resistance, suicidal thoughts at admission, schizophrenia, depression, female sex and length of stay.
Conclusion:
The identified risk factors underline the need for a cautious investigation of previous suicide attempts as well as for giving special attention to patients who have problems with psychopharmacotherapy during hospitalization.
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